From dd4095031de06093a94b5e89b79c8acc9dc44b1c Mon Sep 17 00:00:00 2001
From: Elias Chetouane <elias.chetouane@univ-grenoble-alpes.fr>
Date: Tue, 21 May 2024 16:29:04 +0200
Subject: [PATCH] Remplacement du fichier pour permettre le merge des branches.

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-doi,title,publisher,publicationYear,language,resourceTypeGeneral,rights,description,source,isActive,state,viewCount,downloadCount,referenceCount,citationCount,versionCount,created,registered,client,provider,subject,subject_raw,sizes,formats
-10.17178/draixbleone_gal_rob_met_1420,Meteorological data at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This meteorological data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:45.000Z,2020-09-15T15:58:46.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
-10.5281/zenodo.4306051,A comprehensive evaluation of binning methods to recover human gut microbial species from a non-redundant reference gene catalog - Supporting Data,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Description </strong> The following files are available : Simulated non-redundant Gene Catalog (SGC) composed of 128267 genes; Gene abundance profiles across 40 samples: raw read counts, gene length normalized base counts, depth file computed by the jgi_summarize_bam_contig_depth script provided by MetaBAT; Gold Standard (GS) and Gold Standard Single Assignment (GS_SA) binning results; Binning results obtained on the SGC with nine binning methods: MSPminer, MGS-canopy, DAS Tool, MaxBin2, MetaBAT2, SolidBin, CONCOCT, COCACOLA and MyCC. <strong>License</strong> These files are licensed under a Creative Commons Attribution 4.0 International License.",mds,True,findable,0,0,0,0,0,2020-12-04T18:36:11.000Z,2020-12-04T18:36:12.000Z,cern.zenodo,cern,"Metagenomics,Binning,Human gut microbiota,Gene catalog","[{'subject': 'Metagenomics'}, {'subject': 'Binning'}, {'subject': 'Human gut microbiota'}, {'subject': 'Gene catalog'}]",,
-10.6084/m9.figshare.16851141,Additional file 4 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Audiovisual,Creative Commons Attribution 4.0 International,Additional file 4: Movie 3. Videomicroscopy of membrane-binding deficient NDPK-D mutant HeLa clones.,mds,True,findable,0,0,93,1,0,2021-10-22T04:07:25.000Z,2021-10-22T04:07:27.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['7463148 Bytes'],
-10.5281/zenodo.10548744,WRFChem MOSAiC run,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,WRFChem MOSAiC run - March 15 to April 30 2020. From https://doi.org/10.1525/elementa.2022.00129,api,True,findable,0,0,0,0,0,2024-01-22T11:19:08.000Z,2024-01-22T11:19:08.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.3j9kd51j5,Live imaging and biophysical modeling support a button-based mechanism of somatic homolog pairing in Drosophila,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"3D eukaryotic genome organization provides the structural basis for gene regulation. In Drosophila melanogaster, genome folding is characterized by somatic homolog pairing, where homologous chromosomes are intimately paired from end to end; however, how homologs identify one another and pair has remained mysterious. Recently, this process has been proposed to be driven by specifically interacting 'buttons' encoded along chromosomes. Here, we turned this hypothesis into a quantitative biophysical model to demonstrate that a button-based mechanism can lead to chromosome-wide pairing. We tested our model using live-imaging measurements of chromosomal loci tagged with the MS2 and PP7 nascent RNA labeling systems. We show solid agreement between model predictions and experiments in the pairing dynamics of individual homologous loci. Our results strongly support a button-based mechanism of somatic homolog pairing in Drosophila and provide a theoretical framework for revealing the molecular identity and regulation of buttons.",mds,True,findable,141,7,1,1,0,2021-07-07T20:44:30.000Z,2021-07-07T20:44:31.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1142294 bytes'],
-10.5281/zenodo.6384945,"Past, present and future of chamois science",Zenodo,2022,,Software,"MIT License,Open Access","The chamois <em>Rupicapra</em> spp. is the most abundant mountain ungulate of Europe and the Near East, where it occurs as two species, the Northern chamois <em>R. rupicapra</em> and the Southern chamois <em>R. pyrenaica</em>. Here, we provide a state-of-the-art overview of research trends and the most challenging issues in chamois research and conservation, focusing on taxonomy and systematics, genetics, life history, ecology and behavior, physiology and disease, management, and conservation. Research on <em>Rupicapra</em> has a longstanding history and has contributed substantially to the biological and ecological knowledge of mountain ungulates. Although the number of publications on this genus has markedly increased over the past two decades, major differences persist with respect to knowledge of species and subspecies, with research mostly focusing on the Alpine chamois <em>R. r. rupicapra</em> and, to a lesser extent, the Pyrenean chamois <em>R. p. pyrenaica</em>. In addition, a scarcity of replicate studies of populations of different subspecies and/or geographic areas limits the advancement of chamois science. Since environmental heterogeneity impacts behavioral, physiological and life history traits, understanding the underlying processes would be of great value from both an evolutionary and conservation/management standpoint, especially in the light of ongoing climatic change. Substantial contributions to this challenge may derive from a quantitative assessment of reproductive success, investigation of fine-scale foraging patterns, and a mechanistic understanding of disease outbreak and resilience. Improving conservation status, resolving taxonomic disputes, identifying subspecies hybridization, assessing the impact of hunting and establishing reliable methods of abundance estimation are of primary concern. Despite being one of the most well-known mountain ungulates, substantial field efforts to collect paleontological, behavioral, ecological, morphological, physiological and genetic data on different populations and subspecies are still needed to ensure a successful future for chamois conservation and research.",mds,True,findable,0,0,0,0,0,2022-05-26T17:31:41.000Z,2022-05-26T17:31:42.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_n2d-plus_hyperfine_39813cf9,Hyperfine excitation of N2D+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",37 hyperfine energy levels / 89 radiative transitions / 626 collisional transitions for para-H2 (14 temperatures in the range 5-70K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:21.000Z,2021-11-18T13:35:22.000Z,inist.osug,jbru,"target N2D+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N2D+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.7795898,Calibration methodology of low-costs sensors for high-quality monitoring of fine particulate matter,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Embargoed Access","This repository contains the code used to extract dusts as mentioned in the manuscript â€œCalibration methodology of low-costs sensors for high-quality monitoring of fine particulate matterâ€. Important preliminary steps : 1. If you don't have a CDS account, register here : https://cds.climate.copernicus.eu/user/register?destination=%2F%23!%2Fhome<br> 2. follow all instructions here : https://cds.climate.copernicus.eu/api-how-to<br> (as explained, you should install cdsapi and the CDS API key) Documentation for the dataset here: https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-forecasts?tab=overview In case of issue downloading data, it is recommended to make a larger number of requests with smaller date ranges. Credits : MÃ©tÃ©o-France, Institut National de l'Environnement Industriel et des Risques (Ineris), Aarhus University, Norwegian Meteorological Institute (MET Norway), JÃ¼lich Institut fÃ¼r Energie- und Klimaforschung (IEK), Institute of Environmental Protection â€“ National Research Institute (IEP-NRI), Koninklijk Nederlands Meteorologisch Instituut (KNMI), Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek (TNO), Swedish Meteorological and Hydrological Institute (SMHI), Finnish Meteorological Institute (FMI), 2020. CAMS European air quality forecasts, ENSEMBLE data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-forecasts?tab=overview (accessed 2023.04.03).",mds,True,findable,0,0,0,0,0,2023-04-04T07:42:59.000Z,2023-04-04T07:43:30.000Z,cern.zenodo,cern,"PM1,PM2.5,PM10,sensors calibration,dusts,machine learning","[{'subject': 'PM1'}, {'subject': 'PM2.5'}, {'subject': 'PM10'}, {'subject': 'sensors calibration'}, {'subject': 'dusts'}, {'subject': 'machine learning'}]",,
-10.26302/sshade/experiment_lb_20191211_002,Fe K edge XAS transmission of bulk heated CM carbonaceous chondrites,SSHADE/GhoSST+FAME (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",raw and normalized Fe K edge XAS transmission of bulk heated CM carbonaceous chondrites,mds,True,findable,0,0,0,0,0,2019-12-13T13:04:26.000Z,2019-12-13T13:04:27.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix QUE93005 IPAG,complex mineral mix,chondrules QUE93005 IPAG,CAIs QUE93005 IPAG,matrix ALH84033 IPAG,chondrules ALH84033 IPAG,CAIs ALH84033 IPAG,matrix DOM03183 IPAG,chondrules DOM03183 IPAG,CAIs DOM03183 IPAG,ungrouped chondrite,ungrouped,matrix EET83355 IPAG,chondrules EET83355 IPAG,CAIs EET83355 IPAG,matrix EET96029 IPAG,chondrules EET96029 IPAG,CAIs EET96029 IPAG,matrix EET87522 IPAG,chondrules EET87522 IPAG,CAIs EET87522 IPAG,matrix MAC88100 IPAG,chondrules MAC88100 IPAG,CAIs MAC88100 IPAG,matrix MIL07700 IPAG,chondrules MIL07700 IPAG,CAIs MIL07700 IPAG,matrix PCA02010 IPAG,chondrules PCA02010 IPAG,CAIs PCA02010 IPAG,matrix PCA02012 IPAG,chondrules PCA02012 IPAG,CAIs PCA02012 IPAG,matrix PCA91008 IPAG,chondrules PCA91008 IPAG,CAIs PCA91008 IPAG,matrix WIS91600 IPAG,chondrules WIS91600 IPAG,CAIs WIS91600 IPAG,laboratory measurement,transmission,None,hard X,raw,normalized absorbance","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix QUE93005 IPAG'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules QUE93005 IPAG'}, {'subject': 'CAIs QUE93005 IPAG'}, {'subject': 'matrix ALH84033 IPAG'}, {'subject': 'chondrules ALH84033 IPAG'}, {'subject': 'CAIs ALH84033 IPAG'}, {'subject': 'matrix DOM03183 IPAG'}, {'subject': 'chondrules DOM03183 IPAG'}, {'subject': 'CAIs DOM03183 IPAG'}, {'subject': 'ungrouped chondrite'}, {'subject': 'ungrouped'}, {'subject': 'matrix EET83355 IPAG'}, {'subject': 'chondrules EET83355 IPAG'}, {'subject': 'CAIs EET83355 IPAG'}, {'subject': 'matrix EET96029 IPAG'}, {'subject': 'chondrules EET96029 IPAG'}, {'subject': 'CAIs EET96029 IPAG'}, {'subject': 'matrix EET87522 IPAG'}, {'subject': 'chondrules EET87522 IPAG'}, {'subject': 'CAIs EET87522 IPAG'}, {'subject': 'matrix MAC88100 IPAG'}, {'subject': 'chondrules MAC88100 IPAG'}, {'subject': 'CAIs MAC88100 IPAG'}, {'subject': 'matrix MIL07700 IPAG'}, {'subject': 'chondrules MIL07700 IPAG'}, {'subject': 'CAIs MIL07700 IPAG'}, {'subject': 'matrix PCA02010 IPAG'}, {'subject': 'chondrules PCA02010 IPAG'}, {'subject': 'CAIs PCA02010 IPAG'}, {'subject': 'matrix PCA02012 IPAG'}, {'subject': 'chondrules PCA02012 IPAG'}, {'subject': 'CAIs PCA02012 IPAG'}, {'subject': 'matrix PCA91008 IPAG'}, {'subject': 'chondrules PCA91008 IPAG'}, {'subject': 'CAIs PCA91008 IPAG'}, {'subject': 'matrix WIS91600 IPAG'}, {'subject': 'chondrules WIS91600 IPAG'}, {'subject': 'CAIs WIS91600 IPAG'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'raw'}, {'subject': 'normalized absorbance'}]",['24 spectra'],['ASCII']
-10.5061/dryad.d51c5b019,Early-wilted forest following the Central European 2018 extreme drought,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"During the summer of 2018, Central Europe experienced the most extreme drought and heat wave on record, leading to widespread early leaf-shedding and die-offs in forest trees. We quantified such early-wilting responses by associating Sentinel-2 time-series statistics of the Normalized Difference Vegetation Index with visually classified orthophotos, using a random forest classifier. The predictions of our classifier achieved a high accuracy of 0.90 Â±0.014 and estimated the area of affected forest at 21â€™500 Â±2800 km2. Early wilting was especially prevalent in eastern and central Germany and in the Czech Republic and it was related to high temperatures and low precipitation at large-scales, and small to medium-sized trees, steep slopes, and shallow soils at fine-scales. The present dataset includes spatial predictons of 2018 early-wilting presence/absence for entire Central Europe (c. 800'000 km2) at 10Ã—10 m resolution. It may be used for high-resolution studies of early-wilting patterns, to study how factors like physiology or species identity relate to early-wilting patterns, and/or as testbed for alternative approaches quantifying water stress in forests.",mds,True,findable,176,8,0,0,0,2020-10-27T13:58:10.000Z,2020-10-27T13:58:12.000Z,dryad.dryad,dryad,"FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences,early senescence,European beech,Sentinel-2","[{'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'early senescence'}, {'subject': 'European beech'}, {'subject': 'Sentinel-2'}]",['847736758 bytes'],
-10.6084/m9.figshare.13632732,Additional file 1 of Comparison between regional citrate anticoagulation and heparin for intermittent hemodialysis in ICU patients: a propensity score-matched cohort study,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Figure S1. Schematic representation of regional citrate anticoagulation for intermittent hemodialysis.,mds,True,findable,0,0,26,1,0,2021-01-23T04:31:07.000Z,2021-01-23T04:31:10.000Z,figshare.ars,otjm,"Space Science,Medicine,Biological Sciences not elsewhere classified,Mathematical Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['86488 Bytes'],
-10.34847/nkl.9bd4vqc6,"Figure 10 : Extraits vidÃ©os ""DiffÃ©rences de cadrage""",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,fr,Audiovisual,,"La captation de cette vidÃ©o a eu lieu dans le cadre du projet FOCUS(E) financÃ© par l'IDEX de l'UniversitÃ© Grenoble Alpes.
-Les participants (et les dÃ©tenteurs de l'autoritÃ© parentale) ont consenti Ã  la diffusion de leurs images dans le cadre exclusif du projet.",api,True,findable,0,0,0,0,0,2023-10-13T12:59:45.000Z,2023-10-13T12:59:45.000Z,inist.humanum,jbru,"enfant,mÃ©thode","[{'subject': 'enfant'}, {'subject': 'mÃ©thode'}]",['215322977 Bytes'],['video/quicktime']
-10.5061/dryad.3bk3j9kph,"Diet composition of moose (Alces alces) in winter, Sweden",Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"1. Differences in botanical diet compositions among a large number of moose fecal samples collected during winter correlated with the nutritional differences identified in the same samples (Mantel-r = 0.89, p = 0.001), but the nutritional differences were significantly smaller (p &lt; 0.001). 2. Nutritional geometry revealed that moose mixed Scots pine Pinus sylvestris and Vaccinium spp. as nutritionally complementary foods to reach a nutritional target resembling Salix spp. twigs, and selected for Salix spp. browse (Jacobâ€™s D &gt; 0). 3. Available protein (AP) and total non-structural carbohydrates (TNC) were significantly correlated in observed diets but not in hypothetical diets based on food availability. 4. The level of Acetoacetate in moose serum (i.e., â€˜starvationâ€™) was weakly negatively associated with digestibility of diets (p = 0.08) and unrelated to increasing AP:TNC and AP:NDF ratios in diets (p &gt; 0.1). 5. Our study is the first to demonstrate complementary feeding in free-ranging moose to attain a nutritional target that has previously been suggested in a feeding trial with captive moose. Our results add support to the hypothesis of nutritional balancing as a driver in the nutritional strategy of moose with implications for both the management of moose and food resources.",mds,True,findable,112,7,0,0,0,2023-02-03T23:45:47.000Z,2023-02-03T23:45:48.000Z,dryad.dryad,dryad,"FOS: Animal and dairy science,FOS: Animal and dairy science,Alces alces,Herbivory,nutritional ecology,Nutritional Geometry,ungulate diets","[{'subject': 'FOS: Animal and dairy science', 'subjectScheme': 'fos'}, {'subject': 'FOS: Animal and dairy science', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Alces alces'}, {'subject': 'Herbivory', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'nutritional ecology'}, {'subject': 'Nutritional Geometry'}, {'subject': 'ungulate diets'}]",['53329 bytes'],
-10.5281/zenodo.3552836,Rekyt/ssdms_saturation_richness: Accepted version,Zenodo,2019,en,Software,"MIT License,Open Access","Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation? This repository contains the data and code for our paper: GreniÃ© M., Violle C, Munoz F. * Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?<em>. accepted in </em>Ecological Indicators*. How to cite Please cite this compendium as: GreniÃ© M., Violle C, Munoz F., (2019). <em>Compendium of R code and data for Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?</em>. Accessed 02 dÃ©c. 2019. Online at https://doi.org/10.5281/zenodo.3552836 ðŸ”§ How to download or install You can download the compendium as a zip from from this URL: Or you can install this compendium as an R package, `cssdms.saturation.richness, from GitHub with: <pre><code># install.packages(""devtools"") remotes::install_github(""Rekyt/ssdms_saturation_richness"")</code></pre> ðŸ’» How to run the analyses This compendium uses <code>drake</code> to make analyses reproducible. To redo the analyses and rebuild the manuscript run the following lines (from the <code>ssdms_saturation_richness</code> folder): <pre><code># install.packages(""devtools"") pkgload::load_all() # Load all functions included in the package make(saturation_workflow()) # Run Analyses</code></pre> Beware that some code make time a long time to run, and it may be useful to run analyses in parallel. ##You can run the analyses by clicking on the <code>Binder</code> badge: Dependencies As noted in the <code>DESCRPTION</code> files this project depends on: <code>virtualspecies</code>, to simulate species; <code>drake</code>, to execute a reproducible workflow; the <code>tidyverse</code> (<code>dplyr</code>, <code>ggplot2</code>, <code>purrr</code>, and <code>tidyr</code>) for data wrangling; <code>ggpubr</code> to customize plot",mds,True,findable,0,0,0,0,0,2019-11-25T17:36:15.000Z,2019-11-25T17:36:16.000Z,cern.zenodo,cern,"habitat saturation,stacked species distribution model,species richness,predicted presence probabilities,threshold-based presence prediction","[{'subject': 'habitat saturation'}, {'subject': 'stacked species distribution model'}, {'subject': 'species richness'}, {'subject': 'predicted presence probabilities'}, {'subject': 'threshold-based presence prediction'}]",,
-10.5281/zenodo.7890953,Beamtime ES-1145,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains all the raw XRD data of beamtime ES-1145 at ESRF. A logbook describing samples, experimental conditions, scan numbers, etc. is included.",mds,True,findable,0,0,0,0,0,2023-05-03T12:22:46.000Z,2023-05-03T12:22:46.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_(13c)ch_hyperfine_b78c5723,Hyperfine excitation of [13C]CH by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",98 hyperfine energy levels / 128 radiative transitions / 4752 collisional transitions for para-H2 (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:20.000Z,2023-12-07T15:50:21.000Z,inist.osug,jbru,"target [13C]CH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]CH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_op_20200212_001,Vis-NIR bidirectional reflection spectra of several ammonium salts mixed with graphite powder at 296 K,SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mixtures of graphite powder (&lt;20 Âµm) and ammonium (NH4+) salts (chloride, sulfate, formate) were prepared by mixing manually these constituents in a mortar. Reflectance spectra (from 0.4 to 4 Âµm) of these mixtures were measured at 296 K under ambient air.",mds,True,findable,0,0,0,0,0,2020-02-12T11:12:11.000Z,2020-02-12T11:12:11.000Z,inist.sshade,mgeg,"mineral,commercial,elemental solid,Graphite,sulfate,Ammonium sulfate,organic salt,Ammonium formate,chloride,Ammonium chloride,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'Graphite'}, {'subject': 'sulfate'}, {'subject': 'Ammonium sulfate'}, {'subject': 'organic salt'}, {'subject': 'Ammonium formate'}, {'subject': 'chloride'}, {'subject': 'Ammonium chloride'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['4 spectra'],['ASCII']
-10.34847/nkl.87788ro3,"Marcher les lieux possibles. ItinÃ©raire de Christophe SÃ©raudie, le 8 octobre 2020, RioupÃ©roux",NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,Other,,"ItinÃ©raire rÃ©alisÃ© dans le cadre du projet de recherche-crÃ©ation Les Ondes de lâ€™Eau : MÃ©moires des lieux et du travail dans la vallÃ©e de la Romanche. AAU-CRESSON (Laure Brayer, direction scientifique) - Regards des Lieux (Laure NicoladzÃ©, direction culturelle). 
-
-Pour se projeter dans le futur possible dâ€™un territoire, rien de mieux que de commencer par sâ€™y balader. Câ€™est cette attitude qui guide notre rencontre avec Christophe, architecte attentif aux potentiels des lieux. Le canal : une promenade surÃ©levÃ©e ? Les lignes Ã©lectriques : des liaisons aÃ©riennes ? AccompagnÃ©s par des Ã©tudiants de lâ€™Ã©cole dâ€™architecture, nous cheminons entre passÃ© et prospective.",api,True,findable,0,0,0,0,0,2022-06-27T12:24:56.000Z,2022-06-27T12:24:56.000Z,inist.humanum,jbru,"roman-photo,itinÃ©raire,matÃ©riaux de terrain Ã©ditorialisÃ©s,Histoires de vie,paysage de l'eau,histoire orale,Marche,Sens et sensations,MÃ©moires des lieux,CitÃ© ouvriÃ¨re,friche industrielle,mÃ©thode des itinÃ©raires,AmÃ©nagement du territoire -- recherche,Romanche, VallÃ©e de la (France),schÃ©mas de cohÃ©rence territoriale,gestion du risque,tissu urbain,architecture industrielle,dÃ©sertification,rives -- amÃ©nagement,biens vacants","[{'lang': 'fr', 'subject': 'roman-photo'}, {'lang': 'fr', 'subject': 'itinÃ©raire'}, {'lang': 'fr', 'subject': 'matÃ©riaux de terrain Ã©ditorialisÃ©s'}, {'lang': 'fr', 'subject': 'Histoires de vie'}, {'lang': 'fr', 'subject': ""paysage de l'eau""}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'Marche'}, {'lang': 'fr', 'subject': 'Sens et sensations'}, {'lang': 'fr', 'subject': 'MÃ©moires des lieux'}, {'lang': 'fr', 'subject': 'CitÃ© ouvriÃ¨re'}, {'lang': 'fr', 'subject': 'friche industrielle'}, {'lang': 'fr', 'subject': 'mÃ©thode des itinÃ©raires'}, {'lang': 'fr', 'subject': 'AmÃ©nagement du territoire -- recherche'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e de la (France)'}, {'lang': 'fr', 'subject': 'schÃ©mas de cohÃ©rence territoriale'}, {'lang': 'fr', 'subject': 'gestion du risque'}, {'lang': 'fr', 'subject': 'tissu urbain'}, {'lang': 'fr', 'subject': 'architecture industrielle'}, {'lang': 'fr', 'subject': 'dÃ©sertification'}, {'lang': 'fr', 'subject': 'rives -- amÃ©nagement'}, {'lang': 'fr', 'subject': 'biens vacants'}]","['23920735 Bytes', '985594 Bytes', '840324 Bytes', '381456 Bytes', '1945082 Bytes', '1684244 Bytes', '1499318 Bytes', '1664219 Bytes', '1902591 Bytes', '1641971 Bytes', '1591326 Bytes', '1557311 Bytes', '1662693 Bytes', '1743507 Bytes', '1566403 Bytes', '1879143 Bytes', '2223816 Bytes', '1890148 Bytes', '1610157 Bytes', '2027273 Bytes', '1871130 Bytes', '1988235 Bytes', '1727845 Bytes', '1730555 Bytes', '1229652 Bytes']","['application/pdf', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg']"
-10.26302/sshade/experiment_gs_20170713_004,Ag K edge XAS transmission of Ag-diethyldithiocarbamate,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:23:33.000Z,2019-12-05T14:23:33.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,organic salt,Ag-diethyldithiocarbamate,laboratory measurement,transmission,None,hard X","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'organic salt'}, {'subject': 'Ag-diethyldithiocarbamate'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.1489533,Brainstorm software 15-Nov-2018,Zenodo,2018,,Software,"Creative Commons Attribution 4.0 International,Open Access","Brainstorm snapshot from 15-Nov-2018, for replicability of a published analysis pipeline",mds,True,findable,0,0,0,0,0,2018-11-16T08:51:59.000Z,2018-11-16T08:52:00.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7115984,"Supporting Information for ""Where does the energy go during the interstellar NH3 formation on water ice? A computational study""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Supplementary Material consisting of: The energetics of the gas-phase reactions for both the H-additions and H-abstractions, The evolution with time of the total, potential and kinetic energies of the studied processes Results of the NVE AIMD simulations for the NH<sub>3</sub> formation from Pos2",mds,True,findable,0,0,0,0,0,2022-11-22T14:13:21.000Z,2022-11-22T14:13:22.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10037960,FIG. 3 in Passiflora tinifolia Juss. (Passiflora subgenus Passiflora): resurrection and synonymies,Zenodo,2023,,Image,Creative Commons Attribution 4.0 International,"FIG. 3. â€” Pictures and drawings of P. laurifolia L., P. oblongifolia Pulle, P. gabrielleana Vanderpl. and P. favardensis Kuethe: A, P. laurifolia from Guadeloupe (photograph F. Booms); B, C, P. gabrielleana from Montsinery, near its locus classicus in French Guiana (photograph M. Rome); D, drawing of P. oblongifolia from the holotype Versteeg 652 (from Pulle 1906); E, drawing of P. gabrielleana by J. Vanderplank in Vanderplank & Laurens (2006); F, picture of P. favardensis by Christian Houel in Kuethe (2011). Scale bars: 1 cm.",api,True,findable,0,0,0,0,0,2023-10-24T17:26:34.000Z,2023-10-24T17:26:34.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.26302/sshade/experiment_nf_20180503_2100,MIR absorbance spectra of CO ice at 25K for different deposition rates and different thicknesses,SSHADE/SCOOP (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR absorbance spectra of CO ice at 25K for different deposition rates (0.04-1.05 nm/s) and different thicknesses (90-4630 nm),mds,True,findable,0,0,0,0,0,2022-04-30T11:01:45.000Z,2022-04-30T11:01:45.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,CO ice,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'CO ice'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['17 spectra'],['ASCII']
-10.26302/sshade/experiment_op_20230207_001,"VIS-NIR-MIR Reflectance spectra of mixtures of sub-Âµm grains of Olivine with Iron Sulfides or Anthracite, at different concentrations",SSHADE/GhoSST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",We measured the reflectance spectra (from 0.55 to 25 Âµm) of mixtures of sub-Âµm grains of Olivine with Iron Sulfides or Anthracite.,mds,True,findable,0,0,0,0,0,2023-02-07T21:19:38.000Z,2023-02-07T21:19:38.000Z,inist.sshade,mgeg,"mineral,laboratory,natural terrestrial,nesosilicate,Olivine Forsterite,tektosilicate,Quartz,commercial,sulfide,Troilite,Pyrrhotite,complex macromolecular mixture,Anthracite,laboratory measurement,transmission,macroscopic,NIR,Near-Infrared,MIR,Mid-Infrared,bidirectional reflection,Vis,Visible,reflectance factor","[{'subject': 'mineral'}, {'subject': 'laboratory'}, {'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'Olivine Forsterite'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'commercial'}, {'subject': 'sulfide'}, {'subject': 'Troilite'}, {'subject': 'Pyrrhotite'}, {'subject': 'complex macromolecular mixture'}, {'subject': 'Anthracite'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'bidirectional reflection'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'reflectance factor'}]",['22 spectra'],['ASCII']
-10.26302/sshade/bandlist_raman_calcite,Raman bandlist of natural Calcite,SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Calcite at 295K and 80K,mds,True,findable,0,0,0,0,0,2023-04-22T06:33:27.000Z,2023-04-22T06:33:28.000Z,inist.sshade,mgeg,"Calcite,Calcium cation,Carbonate anion,Calcium(2+) cation,14127-61-8,471-34-1,Ca2+,(CO3)2-,CaCO3,Calcite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Calcite group (Trigonal: R-3c),14.01.01.01,05.AB.05,Raman scattering,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Calcite', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': '471-34-1', 'subjectScheme': 'CAS number'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'CaCO3', 'subjectScheme': 'formula'}, {'subject': 'Calcite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Calcite group (Trigonal: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.01.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.34847/nkl.e1e41vdi,fichier0,NAKALA - https://nakala.fr (Huma-Num - CNRS),2020,,Image,,blablablablblaa,api,True,findable,0,0,0,0,0,2023-02-03T19:38:11.000Z,2023-02-03T19:38:11.000Z,inist.humanum,jbru,,,['20608 Bytes'],['image/png']
-10.5281/zenodo.7928420,A climatological study of heat waves in Grenoble over the 21st century,Zenodo,2022,en,Other,"Creative Commons Attribution 4.0 International,Open Access","We investigate heat waves (HWs) affecting the valley of Grenoble in a future climate. In this study, heat waves are defined as periods of at least 3 consecutive days of daily maximum and minimum temperature exceeding the 92nd historical percentile. This definition has been chosen to select HWs that might impact human health. Even though only the strongest HWs are potentialy harmful, the definition allows to identify a suficient number of events to perform a statistical study. The HWs are characterised by their duration, peak temperature and mean daily maximum temperature. Additionally, each HW is studied per year using a framework measuring heat wave number, duration, participating days, and the peak and mean magnitudes. The HW characteristics are calculated with the results of simulations from the regional climate model MAR. MAR was forced by reanalysis and by a global model for the entire 21st century. The uncertainty of future anthropogenic forcing is taken into account by analysing results for the shared socio-economic pathways SSP2 and SSP5. The simulations are evaluated against in-situ measurements in the past period. MAR captures well daily maximum and minimum temperatures as well as observed HWs. Under future climate conditions, the increase in very hot daily maximum and minimum temperatures is mainly due to the shift rather than the broadening of their probability density functions. Additionally, the HWs become more frequent and have a longer duration, higher peak temperature and mean daily maximum temperature. Finally, a sensitivity analysis to the HW de ning threshold is carried out.",mds,True,findable,0,0,0,0,0,2023-05-12T08:33:13.000Z,2023-05-12T08:33:13.000Z,cern.zenodo,cern,"Regional Climate Change,Heatwaves,Grenoble Valley,Climate Data Analysis","[{'subject': 'Regional Climate Change'}, {'subject': 'Heatwaves'}, {'subject': 'Grenoble Valley'}, {'subject': 'Climate Data Analysis'}]",,
-10.5281/zenodo.10693938,Conception et optimisation d'un rÃ©acteur de type MSFR en sels chlorures et en cycle uranium,Zenodo,2024,fr,Text,Creative Commons Attribution 4.0 International,"Depuis le dÃ©but des annÃ©es 2000 et suite Ã  la loi Bataille en France, lâ€™Ã©quipe MSFR du LPSC de Grenoble a repris le concept des rÃ©acteurs Ã  sels fondus, donnant progressivement forme au Molten Salt Fast Reactor (MSFR) de rÃ©fÃ©rence. Ce surrÃ©gÃ©nÃ©rateur de 3GWth utilise des sels Ã  base fluor et le cycle thorium. Dans lâ€™optique de proposer un modÃ¨le plus Ã  mÃªme dâ€™utiliser les matiÃ¨res disponibles (uranium appauvri et noyaux lourds des combustibles usÃ©s), cette thÃ¨se porte sur lâ€™Ã©tude dâ€™un MSFR en cycle uranium.Pour sâ€™affranchir dâ€™Ã©ventuels problÃ¨mes de solubilitÃ© des transuraniens (TRU) en sels fluorures, le sel combustible retenu est un mÃ©lange eutectique NaCl-appUCl3-(TRU)Cl3. Ce sel Ã©tant un moins bon caloporteur et plus transparent aux neutrons que son Ã©quivalent du MSFR fluorure de rÃ©fÃ©rence, les travaux de thÃ¨se ont dâ€™abord portÃ© sur des Ã©tudes du volume optimal de sel combustible, qui a Ã©tÃ© portÃ© de 18m3 (MSFR de rÃ©fÃ©rence) Ã  45m3 (MSFR-Cl). Un volume de 20m3 se trouve dans le coeur (optimisation neutronique) et 25m3 sont dans les boucles de recirculation contenant les Ã©changeurs de chaleur (optimisation thermique). Pour amÃ©liorer le facteur de rÃ©gÃ©nÃ©ration du rÃ©acteur, une couverture fertile radiale est placÃ©e autour de la zone centrale. La composition du sel fertile rÃ©sulte dâ€™une optimisation principalement entre le dÃ©bit de retraitement et la rÃ©sistance Ã  la prolifÃ©ration. Les Ã©tudes de conception effectuÃ©es durant la thÃ¨se incluent le dimensionnement des protections neutroniques en tenant compte de la circulation des prÃ©curseurs de neutrons retardÃ©s, et du vase dâ€™expansion dÃ©diÃ© Ã  accommoder la dilatation du sel combustible.Pour tirer un maximum de bÃ©nÃ©fices de la forme liquide des sels, le rÃ©acteur peut Ãªtre connectÃ© Ã  une unitÃ© de traitement. Lâ€™extraction rÃ©guliÃ¨re des produits de fission permet ainsi de rÃ©duire le terme source et les processus de corrosion tout en amÃ©liorant lâ€™Ã©conomie neutronique, et ce sans besoin dâ€™arrÃªt du rÃ©acteur. Un schÃ©ma de principe du traitement envisagÃ© a Ã©tÃ© conÃ§u durant la thÃ¨se en collaboration avec des experts en chimie.Des calculs neutroniques statiques puis en Ã©volution ont Ã©tÃ© rÃ©alisÃ©s avec divers codes neutroniques (MCNP couplÃ© au code dâ€™Ã©volution REM, Serpent2) pour Ã©valuer les performances du systÃ¨me (contre-rÃ©actions, bilans massiques). Des Ã©tudes prÃ©liminaires de dÃ©ploiement de ce type de rÃ©acteurs ont Ã©tÃ© menÃ©es pour Ã©valuer lâ€™impact de lâ€™insertion du MSFR-Cl dans un parc de REP, en comparaison du MSFR de rÃ©fÃ©rence.Pour finir, et suite aux limites rencontrÃ©es avec le MSFR-Cl, un modÃ¨le innovant d'incinÃ©rateur de petite taille en cycle uranium Ã  couverture fertile thoriÃ©e a Ã©tÃ© Ã©tudiÃ©, pour proposer un outil de transition du cycle uranium vers le cycle thorium.",api,True,findable,0,0,0,0,0,2024-02-22T16:22:48.000Z,2024-02-22T16:22:49.000Z,cern.zenodo,cern,,,,
-10.17178/ohmcv.ero.pra.10-13.1,"Runoff and erosion plots, Pradel",CNRS - OSUG - OREME,2009,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.","Runoff was collected in the bottom part of the hillslope. The water depth was measured every minute with a 1 mm resolution using a limnimeter (OTT Thalimede) within a H-ï¬‚ume designed following the US Soil Conservation Service recommendations. The stage-discharge rating curve was built experimentally and allowed to calculate discharge with a median relative uncertainty of 10%. A sequential sampler containing 24 bottles of 1 l capacity sampled water and eroded particles within the H-ï¬‚ume. When critical thresholds of water depth or water depth variation were exceeded, the data logger triggered the sampling of water and eroded particles. Thus, the time intervals between each two samples were irregular, depending on the shape of the hydrograph. The suspended sediment concentrations were estimated by weighting the water samples after drying them during 24 h at 105 Â°C with a median relative uncertainty of 15%.",mds,True,findable,0,0,1,0,0,2017-03-10T17:09:25.000Z,2017-03-10T17:09:26.000Z,inist.osug,jbru,"Discharge/Flow,Stage Height,Suspended Solids,SEDIMENT METERS,WATER LEVEL GAUGES,Fixed Observation Stations","[{'subject': 'Discharge/Flow', 'subjectScheme': 'main'}, {'subject': 'Stage Height', 'subjectScheme': 'main'}, {'subject': 'Suspended Solids', 'subjectScheme': 'main'}, {'subject': 'SEDIMENT METERS', 'subjectScheme': 'main'}, {'subject': 'WATER LEVEL GAUGES', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.17178/zaa_soil_temp.pne,Long term monitoring of near surface soil temperature in the Ecrins National Park,UGA â€“ OSUG â€“ PNE,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the Ecrins National Park. Data are part of several research projects and monitoring programs examining the impact of climate change on snow cover dynamics, microclimate, species distribution and ecosystem functioning. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in Â°C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:48.000Z,2021-07-13T13:43:50.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.57745/qoa1qo,Data on Terminological Semantic Variation between the (US and British) Press and UN Institutions in Climate Change Discourses,Recherche Data Gouv,2023,,Dataset,,"The data set contains three spreadsheets, two of them being displayed in one single Excel file. The first file, entitled Â« Cosine_Similarity_UN-Press Â», represents the cosine similarity scores between the UN version and the press version of the most specific and widely distributed Â« climate terms Â» shared by these two communities. The second file, entitled Â« Collocates_UN-Press Â» contains two spreadsheets which respectively compares the collocates of the terms Â« adaptation Â» and Â« energy security Â» between two corpora on climate change, one representing UN institutions and one representing the US and British press.",mds,True,findable,54,5,0,0,0,2023-04-07T14:16:05.000Z,2023-05-23T12:32:05.000Z,rdg.prod,rdg,,,,
-10.15778/resif.yr1999,"Horn of Africa (Ethiopa, Yemen) broad-band experiment (Horn of Africa, RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2010,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Horn of Africa (Ethiopa, Yemen) broad-band experiment",mds,True,findable,0,0,0,2,0,2018-03-01T15:43:12.000Z,2018-03-01T15:43:12.000Z,inist.resif,vcob,"Seismology,Broad Band,Yemen, Etiopia","[{'subject': 'Seismology'}, {'subject': 'Broad Band'}, {'subject': 'Yemen, Etiopia'}]","['5 stations, 29 Gb']","['miniseed data', 'stationXML metadata']"
-10.5281/zenodo.10607086,Fighting Climate Change: Mapping the Carbon Footprint Flows of COP 28,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"With each additional COP conference, there is a growing chorus of criticism due to the high carbon footprint associated with the event, mostly due to the intensive amount of international air travel. There has also been a growing chorus of voices raising the related question as to whether COP conferences can become virtual to play a greater leadership role in the reduction of carbon emissions and serve as a good role model for what it is advocating to the rest of the world. COVID19 demonstrated that it was possible for billions of people to adapt and rapidly change behavior from physical face-to-face meetings to virtual online ones. Even after COVID was over, many meetings that have migrated permanently to online. In this study, we consider the feasibility of migrating COP from a currently high to a low carbon emission event, mainly by minimizing the amount of air travel and cutting indirect carbon emissions. The study is framed as an optimization problem, a tradeoff between the carbon emissions of tens of thousands of long distance flights to one global COP destination and the carbon emissions of many shorter trips to an increased number of regional destinations.Â ",api,True,findable,0,0,0,0,0,2024-02-01T17:41:33.000Z,2024-02-01T17:41:33.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10049814,"Data and code for the article "" Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe""",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Research compendium to reproduce analyses and figures of the article: Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe by GaÃ¼zÃ¨re et al. published in Current Biology
-Pierre GaÃ¼zÃ¨re
-General
-This repository is structured as follow:
-
-data/: contains data required to reproduce figures and tables
-analyses/: contains scripts organized sequentially. A -> B -> C -> ..
-outputs/: follows the structure of analyses. Contains intermediate numeric results used to produce the figures
-figures_tables/: Contains the figures of the paper
-The analysis pipeline should be clear once opening the code. Contact me if needed but try before please.Â 
-Figures & tables
-Figures will be stored in figures_tables/. Tables will be stored in outputs/.",api,True,findable,0,0,0,0,0,2023-10-30T13:59:09.000Z,2023-10-30T13:59:09.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10080490,PxCorpus : A Spoken Drug Prescription Dataset in French for Spoken Language Understanding and Dialogue,Zenodo,2023,fr,Audiovisual,Creative Commons Attribution 4.0 International,"PxCorpus : A Spoken Drug Prescription Dataset in French
-Â 
-PxCorpus is to the best of our knowledge, the first spoken medical drug prescriptions corpus to be distributed.
-It contains 4 hours of transcribed and annotated dialogues of drug prescriptions in French acquired through an experiment with 55 participants experts and non-experts Â in drug prescriptions.
-Â 
-The automatic transcriptions were verified by human effort and aligned with semantic labels to allow training of NLP models. The data acquisition protocol was reviewed by medical experts and permit free distribution without breach of privacy and regulation.
-Â 
-Overview of the Corpus
-The experiment has been performed in wild conditions with naive participants and medical experts.
-In total, the dataset includes 2067 recordings of 55 participants (38% non-experts, 25% doctors, 36% medical practitioners), manually transcribed and semantically annotated.
-Â 
-| Category Â  Â  Â  Â  Â  Â  | Sessions | Recordings | Time(m)|
-|-----------------------| ------------- | --------------- | ----------- |
-| Medical experts Â | Â  Â  258 Â  Â  Â | Â  Â  Â  434 Â  Â  Â  | Â  Â 94.83 Â |
-| Doctors Â  Â  Â  Â  Â  Â  Â  | Â  Â  230 Â  Â  Â | Â  Â  Â  570 Â  Â  Â  | Â 105.21 Â |
-| Non experts Â  Â  Â  Â | Â  Â  415 Â  Â  Â | Â  Â  Â  977 Â  Â  Â  | Â  Â 62.13 Â |
-| Total Â  Â  Â  Â  Â  Â  Â  Â  Â  | Â  Â  903 Â  Â  Â | Â  Â  Â 1981 Â  Â  Â | Â 262.27 Â |
-Â 
-License
-We hope that that the community will be able to benefit from the dataset which is distributed with an attribution 4.0 International (CC BY 4.0) Creative Commons licence.
-Â 
-How to cite this corpus
-Â 
-If you use the corpus or need more details please refer to the following paper: A spoken drug prescription datset in French for spoken Language Understanding
-Â 
-@InProceedings{Kocabiyikoglu2022,
-Â author = Â ""Alican Kocabiyikoglu and Fran{\c c}ois Portet and Prudence Gibert and HervÃ© Blanchon and Jean-Marc Babouchkine and GaÃ«tan Gavazzi"",
-Â title = Â ""A spoken drug prescription datset in French for spoken Language Understanding"",
-Â booktitle = Â ""13th Language Ressources and Evaluation Conference (LREC 2022)"",
-Â year = Â ""2022"",
-Â location = Â ""Marseille, France""
-}
-a more complete description of the corpus acquisition is available on arxivÂ 
-@misc{kocabiyikoglu2023spoken,
-Â  Â  Â title={Spoken Dialogue System for Medical Prescription Acquisition on Smartphone: Development, Corpus and Evaluation},
-Â  Â  Â author={Ali Can Kocabiyikoglu and FranÃ§ois Portet and Jean-Marc Babouchkine and Prudence Gibert and HervÃ© Blanchon and GaÃ«tan Gavazzi},
-Â  Â  Â year={2023},
-Â  Â  Â eprint={2311.03510},
-Â  Â  Â archivePrefix={arXiv},
-Â  Â  Â primaryClass={cs.CL}
-}
-Â 
-Project Structure
-Â 
-The project contains the following elements
-.
-â”œâ”€â”€ LICENSE
-â”œâ”€â”€ PxDialogue/
-â”œâ”€â”€ PxSLU/
-â”œâ”€â”€ readme.md
-Â 
-PxSLU : Prescription Corpus for Spoken Language Understanding
-Â 
-Directory Structure
-.
-â”œâ”€â”€ LICENSE
-â”œâ”€â”€ metadata.txt
-â”œâ”€â”€ paths.txt
-â”œâ”€â”€ PxSLU_conll.txt
-â”œâ”€â”€ readme.md
-â”œâ”€â”€ recordings
-â”œâ”€â”€ seq.in
-â”œâ”€â”€ seq.label
-â”œâ”€â”€ seq.out
-â”œâ”€â”€ Demo.ipynb
-â””â”€â”€ verifications.py
-Â 
-Recordings
-Â 
-The recordings directory contains the 903 recording sessions. Each session can contain several recordings. For instance,
-the directory
-Â  Â recordings/J7aVvWb67L
-contains the records Â  Â 
-Â  Â recording_0.wav Â recording_2.wav
-which represent two attempts to record a drug prescription
-Â 
-All records are stored as mono channel wav files of 16kHz 16bits signed PCM
-Â 
-Paths
-Â 
-contains the list of all the .wav files in the recordings directory
-00MYcyVK0t/recording_0.wav
-00MYcyVK0t/recording_2.wav
-02Qp6ICj9Q/recording_0.wav
-02Qp6ICj9Q/recording_1.wav
-...
-Â 
-All other files (metadata.txt, seq.*) refer to this list to describe the recording.
-Â 
-Metadata
-Â 
-contains the information about the participants:
-Â 
-48,60+,F,non-expert
-48,60+,F,non-expert
-24,18â€“28,F,doctor
-24,18â€“28,F,doctor
-...
-Â 
-The first column is the participant unique id, the second is the age range, the third is the gender and the final is the category of the participant in {doctor,expert, non-expert}. doctor correspond to a physician, (other)expert to a pharmacist or a biologist specialized in drugs while non-expert are other people not entering in these categories. The lines are synchronised with the paths.txt lines.
-Â 
-Labels
-Â 
-the three files seq.label, seq.in, seq.out represent respectivly the intent, the transcript and the entities in BIO format.
-Â 
-Â  Â  Â seq.label Â  Â  Â  Â  Â  Â  Â  | Â  Â  Â  Â  Â  Â  Â  Â  seq.in Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  | Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â seq.out
-medical_prescription | flagyl 500 milligrammes euh qu/ en... | B-drug B-d_dos_val B-d_dos_up O O ...
-medical_prescription | Â  3 comprimÃ©s par jour matin midi ... Â  | B-dos_val B-dos_uf O O B-rhythm_tdte B-rhythm_tdte O B-rhythm_tdte ...
-Â  Â  Â  Â  Â  Â  Â  ... Â  Â  Â  Â  Â  Â  Â  Â  | Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  ... Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  | Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  ...
-Â 
-These lines are synchronised with the paths.txt lines.
-Â 
-Another file ""PxSLU_conll.txt"" is provided in a format inspired by the conll format (https://universaldependencies.org/format.html). However, this one is *not* aligned with the acoustic records file paths.txt.
-Â 
-Scripts
-Â 
-verifications.py performs the checking of the alignement of all the seq.* paths.txt and metadata files. A user of the dataset does not need to use this script unless she plan to extend the datasets with her own data.
-Demo.ipynb is a jupyter notebook that a user can run to search through the dataset. It is intended to let the user have a quicker and smoother view on the dataset.
-Â 
-Â 
-Data splits
-In the data_splits folder, you can find a data split of this dataset organized as following:
-- train.txt: medical experts + non experts (80%) = 1128 samples
-- dev.txt: medical experts + non experts (20%) = 283 samples
-- test.txt: doctors (100%) = 570 samples
-Â 
-Each file contains references to line numbers of the corpus. For example, first line of the test.txt is 904, seq.in file contains the utterance ""nicopatch"". Users can access the labels, slots, metadata using the same line number 904 in the parallel files (paths.txt,seq.out,seq.label,...).
-Â 
-PxDialogue : Prescription recording corpus for dialogue systems
-Â 
-PxDialogue corpus comes as an extension of the PxSLU corpus and provides additional information about the dialogues that was collected through spoken dialogue. This corpus includes two additional files:
-â”œâ”€â”€ events.txt
-â”œâ”€â”€ dialogue_annotations.txt
-Â 
-Â 
-Events.txt:
-Â 
-For each dialogue session, all dialogue events are given in this text file
-which can be used to train/evaluate dialogue systems.
-Â 
-Usage example:
-Â 
-PxSLU (paths.txt)
-- 00MYcyVK0t/recording_0.wav
-- 00MYcyVK0t/recording_2.wav
-Â 
-PxDialogue (events.txt)
-- (-1, 'START', 'APP', None, 0) (1, 'user', 'ASR', 'flagyl 500 mg en cachet pendant 8 jours', 30) (1, 'system', 'TTS', 'Choisissez le mÃ©dicament correspondant Ã  votre recherche', 34) (2, 'user', 'UI', 'listview_item_clicked', 40) (2, 'system', 'TTS', 'Pourriez vous prÃ©ciser la posologie pour le patient?', 40) (3, 'user', 'ASR', '3 comprimÃ©s par jour matin midi et soir pendant 10 jours', 64) (3, 'system', 'TTS', ""Est-ce que vous confirmez l'ajout de cette prescription sur la liste?"", 66) (4, 'user', 'UI', '/inform{""validate"":""validate""}', 73) (4, 'system', 'TTS', 'Prescription validÃ©e avec succÃ¨s. Traitement ajoutÃ© sur le dossier du patient', 73) (-1, 'END', 'APP', '', 73)
-- N/A
-Â 
-For example, in this dialogue session (00MYcyVK0t), there are two recordings.
-The events are given in a single row for each dialogue session once in the
-first recording (recording_0). Dialogues are described in form of events
-where each action taken by the user or the system is considered as a dialogue
-turn in a tuple form.
-Â 
-(-1, 'START', 'APP', None, 0)
-Â 
-- First element of the event is the dialogue turn number. -1 means that the application
-is initialized.
-- Second element describes who initiated the event: user, system, START, END
-- Third element describes the type of the event: APP (start and end events)
-, ASR (automatic speech recognition), TTS (text-to-speech), UI (user interface)
-User clicks on buttons triggers sometimes explicit intent recognition. For
-example (4, 'user', 'UI', '/inform{""validate"":""validate""}') describes the
-explicit intent of validation of the prescription.
-- Fourth element is the timestamp (in seconds)
-Â 
-Dialogue annotations
-Â 
-We also include a manual annotation for dialogues (dialogue_annotations.txt) which indicates for each recording, if the system gave the correct answer given the utterance.
-Â 
-Each line contains a keyword, either [Fail] or [OK]. The following example shows a dialogue sample with annotations:
-Â 
-| dialogue_annotations.txt | Â paths.txt Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â | seq.in Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â |
-|----------------------------------|----------------------------------------|--------------------------------------------------------------------------------------|
-| OK Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â | 14yHtAe555/recording_0.wav | oxytetracycline solution euh Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â |
-| OK Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â | 14yHtAe555/recording_1.wav | oxytetracycline solution 5 gouttes matin et soir pendant 14 jours |
-| Fail Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â | 14yHtAe555/recording_2.wav | oxytetracycline solution 5 gouttes matin et soir pendant 14 jours |
-Â 
-For these 3 dialogues, the dialogue annotations are accordingly OK, OK and Fail.
-[Ok] means that the dialogue system reacted correctly to the input.
-[Fail] means that the action of the system after this utterance should not be used
-for evaluation or training. Â 
-We can notice that in the first utterance, the information are missing, however
-after the second example the system normally have all of the required slots
-for the prescription validation.
-Â 
-It is to note that free comments added using the ASR system were noted as
-Fail as these dialogues did not enter the dialogue state tracking. In this
-example, the last utterance is recorded as a free comment by the prescriber
-and was annotated as Fail.
-Â 
-Linking audio records to ASR events
-In order to link audio records to ASR events, the user has to use both paths.txt and events.txt
-Â 
-For example for the following dialogue session (lines 1:2 of paths.txt):
-00MYcyVK0t/recording_0.wav
-00MYcyVK0t/recording_2.wav
-Â 
-Events.txt include two ASR events:
-(1, 'user', 'ASR', 'flagyl 500 mg en cachet pendant 8 jours', 30)
-(3, 'user', 'ASR', '3 comprimÃ©s par jour matin midi et soir pendant 10 jours', 64)
-Â 
-These ASR events corresponds to the recording files that can be found in the recordings folder.
-Â 
-Available user action annotations
-Â 
-Events.txt include annotations such as below with the following explanation:
-Â 
-- /inform{""validate"":""validate""} : User clicks on the validate button after seeing the prescription
-- /inform{""validate"":""refuse""} : User clicks on the refuse button after seeing the prescription
-- ASR : User clicks on the push-to-talk button to record an utterance
-- listview_item_clicked : User clicks on the list to choose a drug
-- listview_cancel_clicked : User clicks on the cancel button after seeing a list of drugs
-- FREE_COMMENT_ADDED : User clicks and records a free-form utterance by clicking ""add free comment"" button
-- EMPTY_UTTERANCE: Recording containing an empty utterance
-- APP_CRASH : An application crash that happened in the dialogue turn
-- EVAL_FINISH_APPROVED : User clicks on the final upload button to finish the experiment
-- RESTART_CONVERSATION_SESSION : User clicks on the restart conversation button
-- RESTART_CANCEL_CLICKED : User cancels the restart process by clicking on the cancel button
-- EVAL_FINISH_CANCELED : User cancels the final upload process by clicking on the cancel button
-Â 
-** Free Comments: **
-The users had the possibility of recording a speech-to-text message upon viewing a prescription.
-These messages had not beed added to the dialogue state tracking but were visualized on the interface and saved in
-the database. Users can find free comments by searching for FREE_COMMENT_ADDED events in the events.txt to find out
-about these events.",api,True,findable,0,0,0,0,0,2023-11-08T07:53:40.000Z,2023-11-08T07:53:40.000Z,cern.zenodo,cern,"speech corpora,health informatics,biomedical nlp,spoken dialogue systems,natural language understanding","[{'subject': 'speech corpora'}, {'subject': 'health informatics'}, {'subject': 'biomedical nlp'}, {'subject': 'spoken dialogue systems'}, {'subject': 'natural language understanding'}]",,
-10.5281/zenodo.7499314,VIP: A Python package for high-contrast imaging,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Open Access","VIP is a Python package providing the tools to reduce, post-process and analyze high-contrast imaging datasets, enabling the detection and characterization of directly imaged exoplanets, circumstellar disks, and stellar environments. VIP is a collaborative project which started at the University of LiÃ¨ge, aiming to integrate open-source, efficient, easy-to-use and well-documented implementations of state-of-the-art algorithms used in the context of high-contrast imaging.",mds,True,findable,0,0,0,0,0,2023-01-02T13:57:10.000Z,2023-01-02T13:57:11.000Z,cern.zenodo,cern,"Python,astronomy,exoplanets,high-contrast,direct imaging","[{'subject': 'Python'}, {'subject': 'astronomy'}, {'subject': 'exoplanets'}, {'subject': 'high-contrast'}, {'subject': 'direct imaging'}]",,
-10.5061/dryad.q1d7f,Data from: Prevention of ventilator-associated pneumonia in intensive care units: an international online survey,Dryad,2013,en,Dataset,Creative Commons Zero v1.0 Universal,"Background: On average 7% of patients admitted to intensive-care units (ICUs) suffer from a potentially preventable ventilator-associated pneumonia (VAP). Our objective was to survey attitudes and practices of ICUs doctors in the field of VAP prevention. Methods: A questionnaire was made available online in 6 languages from April, 1st to September 1st, 2012 and disseminated through international and national ICU societies. We investigated reported practices as regards (1) established clinical guidelines for VAP prevention, and (2) measurement of process and outcomes, under the assumption â€œif you cannot measure it, you cannot improve itâ€; as well as attitudes towards the implementation of a measurement system. Weighted estimations for Europe were computed based on countries for which at least 10 completed replies were available, using total country population as a weight. Data from other countries were pooled together. Detailed country-specific results are presented as an online supplement. Results: A total of 1730 replies were received from 77 countries; 1281 from 16 countries were used to compute weighted European estimates, as follows: care for intubated patients, combined with a measure of compliance to this guideline at least once a year, was reported by 57% of the respondents (95% CI: 54-60) for hand hygiene, 28% (95% CI: 24-33) for systematic daily interruption of sedation and weaning protocol, and 27% (95%: 23-30) for oral care with chlorhexidine. Only 20% (95% CI: 17-22) were able to provide an estimation of outcome data (VAP rate) in their ICU, still 93% (95% CI: 91-94) agreed that â€œMonitoring of VAP-related measures stimulates quality improvementâ€. Results for 449 respondents from 61 countries not included in the European estimates are broadly comparable. Conclusions: This study shows a low compliance with VAP prevention practices, as reported by ICU doctors in Europe and elsewhere, and identifies priorities for improvement",mds,True,findable,545,125,1,1,0,2013-03-19T15:39:42.000Z,2013-03-19T15:39:43.000Z,dryad.dryad,dryad,"patient safety,Quality of care,ventilator-associated pneumonia; intensive care units,healthcare-associated infections","[{'subject': 'patient safety'}, {'subject': 'Quality of care', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'ventilator-associated pneumonia; intensive care units'}, {'subject': 'healthcare-associated infections'}]",['1197438 bytes'],
-10.25502/synk-yv41/d,CSAT projects Exploratory Survey,International Institute of Tropical Agriculture (IITA),2022,en,Dataset,CC-By 4.0,"The West African Sahel and dry savannahs cover a large northern sector of the sub-region from Nigeria through Benin, Niger, Burkina Faso, Mali, to Senegal where natural resource limitations, especially water scarcity and land degradation, are expected to be exacerbated by climate change. The main goal of the proposed project is to introduce climate smart agricultural technologies and innovations in the Sahel and dry savannah regions of Mali and Niger that will improve rural livelihoods and food security. In the first of the two components of the project, we will use innovation platforms (IPs) to scale out exisitng technologies along the value  chain of key commodities. In Niger the delivery mechanisms that the current Norwegian project (RED/SAACC-Niger) is applying will also be adopted. In the second project component  we  will conduct research  to develop and adapt additional technological options to expand the pool from which farmers and other value chain actors get to choose from. ",fabricaForm,True,findable,0,0,0,0,0,2022-08-18T14:38:51.000Z,2022-08-18T14:38:52.000Z,bl.iita,ainb,,,,['CSV']
-10.26302/sshade/experiment_cc_20180428_002,VNIR reflectance spectra of Mirabilite with 3 different grain sizes and at variable temperature (93-279 K),SSHADE/REFL_SLAB+CSS (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR (0.8-4.2 Âµm) reflectance spectra of Mirabilite with three different grain sizes (36-50, 75-100 and 125-150 Âµm) acquired at 11 temperatures between 93K and 279K",mds,True,findable,0,0,0,0,0,2022-06-06T12:38:00.000Z,2022-06-06T12:38:01.000Z,inist.sshade,mgeg,"solid,commercial,sulfate,Mirabilite (sodium sulfate decahydrate),laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'sulfate'}, {'subject': 'Mirabilite (sodium sulfate decahydrate)'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['41 spectra'],['ASCII']
-10.18709/perscido.2022.06.ds370,Redundant Apodized Pupils (RAP) 2,PerSCiDo,2022,en,Dataset,,"The RAP concept can be applied on coronagraphic instruments subject to island effects (low-wind effect and post-adaptive optics petaling, ie. piston, tip, and tilt on the petals defined by the spider). It aims to reduce the constraints of petaling-level errors by 1) optimizing the apodization of the elementary petal and 2) reproducing this apodization on all petals, mimicking the mirror fragmentation. In Leboulleux et al. 2022 (A), the RAP concept developed in the case of primary mirror segmentation-induced errors and applied on a Giant Magellan telescope-like pupil combined with an Apodized Pupil Lyot Coronagraph (APLC) on one hand and with an Apodizing Phase Plate (APP) coronagraph on the other hand. In Leboulleux et al. 2022 (accepted in A, available in the folder), the RAP concept is extended to petal-level errors and applied on the Extremely Large Telescope pupil, combined with both APP and Shaped Pupil (SP) coronagraphs. Acknowledgments This project is funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement nÂ°866001).",fabrica,True,findable,0,0,0,0,0,2022-06-27T07:17:25.000Z,2022-06-27T07:17:25.000Z,inist.persyval,vcob,Astrophysics and astronomy,"[{'lang': 'en', 'subject': 'Astrophysics and astronomy'}]",['10Mo'],
-10.6084/m9.figshare.12291707,Additional file 3 of Association of helicopter transportation and improved mortality for patients with major trauma in the northern French Alps trauma system: an observational study based on the TRENAU registry,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 3. Logistic regression with in-hospital death as dependent variable and random effect on prehospital team.,mds,True,findable,0,0,16,0,0,2020-05-13T03:41:58.000Z,2020-05-13T03:41:59.000Z,figshare.ars,otjm,"Medicine,Environmental Sciences not elsewhere classified,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Cancer,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['15733 Bytes'],
-10.5281/zenodo.5744160,Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles under triaxial compresion,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the data and processed results of the work ""<em>Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles (lentils) under triaxial compression</em>"", published in Granular Matter (https://link.springer.com/article/10.1007/s10035-022-01305-8). The study analyses five triaxial compression tests on cylindrical specimens made up of more than nine thousand lentils. Each specimen is prepared with a characteristic orientation (the orientation of the mould for the deposition of the lentils). Repeated x-ray tomography scanning is performed during deviatoric loading, and each scanned step is reconstructed into a 3D volume. Particles are identified in the first 3D volume (in the form of a labelled image) and tracked from the first image all the way through the test using a novel tracking algorithm, enabling the measurement of particle and contact fabric evolution, as well as strain localisation within the specimens. All the procesing is performed using spam (https://ttk.gricad-pages.univ-grenoble-alpes.fr/spam/intro.html) software. The <em>Readme.md</em> file contains further details on the experimental campaign, and the structure of the repository. Please refer to the paper ""<em>Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles under triaxial compression</em>"" published on<em> Granular Matter</em> for further details not found on the <em>Readme.md </em>file . Additional information/data not included in this repository is available upon request.",mds,True,findable,0,0,0,1,0,2022-01-06T17:19:31.000Z,2022-01-06T17:19:32.000Z,cern.zenodo,cern,"Anisometric particles,Inherent anisotropy,Fabric,Lab testing,x-ray tomography","[{'subject': 'Anisometric particles'}, {'subject': 'Inherent anisotropy'}, {'subject': 'Fabric'}, {'subject': 'Lab testing'}, {'subject': 'x-ray tomography'}]",,
-10.18709/perscido.2017.12.ds166,"F-TRACT, ATLAS Decembre 2017",PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Connectivity probability with associated p-values as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 213 patients, in the MarsAtlas, Brodmann, AAL and MaxProbMap parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, integral, duration and the velocity estimated from the onset latency and the fibers distance between the parcels. Features maps : Images representing the connectivity probablility and response features for all the regions in the MarsAtlas parcellation.",api,True,findable,0,0,0,0,0,2018-06-12T12:36:39.000Z,2018-06-12T12:36:39.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['500 MB'],['csv']
-10.26302/sshade/experiment_ak_20141125_2,Mid-infrared attenuated total reflectance experiment with kaolinite (KGa-2),SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:22:54.000Z,2022-11-04T08:22:55.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Kaolinite`,oxide-hydroxide,Anatase,phosphate,Crandallite,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Kaolinite`'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Anatase'}, {'subject': 'phosphate'}, {'subject': 'Crandallite'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.4639769,Upslope migration of snow avalanches in a warming climate: data and model source files,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Complete data and model source files corresponding to: Giacona, F., Eckert, N., Corona, C., Mainieri, R., Morin, S., Stoffel, M., Martin, B., Naaim, M. (2021). Upslope migration of snow avalanches in a warming climate. Proceedings of the National Academy of Sciences America, Nov 2021, 118 (44) e2107306118; DOI: 10.1073/pnas.2107306118",mds,True,findable,0,0,0,0,0,2021-09-21T09:49:24.000Z,2021-09-21T09:49:25.000Z,cern.zenodo,cern,"Natural Hazards,Cryosphere,Climate change,Historical Data,Hierarchical Bayesian Modelling","[{'subject': 'Natural Hazards'}, {'subject': 'Cryosphere'}, {'subject': 'Climate change'}, {'subject': 'Historical Data'}, {'subject': 'Hierarchical Bayesian Modelling'}]",,
-10.3217/9rrz9-ywt68,Grenoble UGA and Grenoble INP-UGA's digital infrastructures for learning and teaching at a glance (Unite! Cm.2 D2.1),Unite! Community 2 Digital Campus,2024,en,Image,Creative Commons Attribution 4.0 International,"Developed for Unite! Community 2 Digital Campus project report ""Aligning IT infrastructures for digital learning amongst the European university alliance Unite! The Unite! digital campus framework and requirements"" and the related Unite! deliverable 2.1 (January 2024).Â ",api,True,findable,0,0,0,0,0,2024-01-15T12:53:28.000Z,2024-01-15T12:53:29.000Z,tug.openlib,tug,"unite!,Cm.2,Learning Management System,digital campus","[{'subject': 'unite!'}, {'subject': 'Cm.2'}, {'subject': 'Learning Management System'}, {'subject': 'digital campus'}]",,
-10.18709/perscido.2017.03.ds55,MobileRGBD,PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"MobileRGBD is corpus dedicated to low level RGB-D algorithms benchmarking on mobile platform. We reversed the usual corpus recording paradigm. Our goal is to facilitate ground truth annotation and reproducibility of records among speed, trajectory and environmental variations. As we want to get rid of unpredictable human moves, we used dummies in order to play static users in the environment. Interest of dummies resides in the fact that they do not move between two recordings. It is possible to record the same robot move in order to evaluate performance of detection algorithms varying speed. This benchmark corpus is intended for ""low level"" RGB-D algorithm family like 3D-SLAM, body/skeleton tracking or face tracking using a mobile robot.",api,True,findable,0,0,0,1,0,2017-11-03T01:20:06.000Z,2017-11-03T01:20:06.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['4 TB'],
-10.26302/sshade/experiment_ak_20141123_1,Mid-infrared attenuated total reflectance experiment with Ca+ exchanged less 1 Î¼m size fraction of montmorillonite (SCa-3) equilibrated with H2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-18T08:30:20.000Z,2019-11-18T08:30:20.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Ca-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm,liquid,H2O deionized,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Ca-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'H2O deionized'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['8 spectra'],['ASCII']
-10.26302/sshade/experiment_op_20180115_002,Br K edge XAS transmission and HERFD of sodium bromide anydrous salt at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-04T08:55:57.000Z,2019-12-04T08:55:58.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,bromide,Sodium bromide anydrous salt,laboratory measurement,transmission,None,hard X,hard X-rays,fluorescence emission","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'bromide'}, {'subject': 'Sodium bromide anydrous salt'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'fluorescence emission'}]",['2 spectra'],['ASCII']
-10.5281/zenodo.6506583,"Action Planning Makes Physical Activity More Automatic, Only If it Is Autonomously Regulated: A Moderated Mediation Analysis",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Dataset used for analysis.,mds,True,findable,0,0,0,0,0,2022-04-29T20:45:18.000Z,2022-04-29T20:45:18.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_bs_20200813_100,"Vis-NIR reflectance spectra of Huy pigments (PIG_0172_A): blocks, powders, plots and painted matters",SSHADE/PIG (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of Huy pigments (PIG_0172_A) as 1 raw block and 1 sawn (2 faces each), as powders with several grain sizes (&lt;50Âµm, &lt;160 Âµm, 100-200Âµm, 200-400Âµm, &gt;400Âµm) and several densities, as a polished plot, and a painted matter on limestone",mds,True,findable,0,0,0,0,0,2021-04-02T06:51:10.000Z,2021-04-02T06:51:11.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,carbonate,limestone,oxide-hydroxide,Hematite,Goethite,phyllosilicate,Kaolinite,Calcite,Dolomite,Chlorites,Siderite,phosphate,Calcium phosphate,sulfate,Barite,tektosilicate,Quartz,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'carbonate'}, {'subject': 'limestone'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hematite'}, {'subject': 'Goethite'}, {'subject': 'phyllosilicate'}, {'subject': 'Kaolinite'}, {'subject': 'Calcite'}, {'subject': 'Dolomite'}, {'subject': 'Chlorites'}, {'subject': 'Siderite'}, {'subject': 'phosphate'}, {'subject': 'Calcium phosphate'}, {'subject': 'sulfate'}, {'subject': 'Barite'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['14 spectra'],['ASCII']
-10.26302/sshade/experiment_ik_20181029_001,Pb L3 edge XAS transmission of Pb metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:01:58.000Z,2019-12-05T13:01:58.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Pb,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Pb'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.4607934,lmarelle/WRF-halogens: WRF-Chem 4.1.1 version including polar bromine chemistry and emissions,Zenodo,2021,,Software,Open Access,"Version 1.0 corresponds to WRF-Chem 4.1.1 + halogen gas-phase chemistry and heterogeneous chemistry on aerosols, also including bromine emissions from surface snow and blowing snow. Version used to perform the runs presented in the paper submitted to JAMES: ""Implementation and impacts of surface and blowing snow sources of Arctic bromine activation within WRF-Chem 4.1.1"" Louis Marelle, Jennie L. Thomas, Shaddy Ahmed, Katie Tuite, Jochen Stutz, Aurelien Dommergue, William R. Simpson, Markus M. Frey, Foteini Baladima",mds,True,findable,0,0,1,0,0,2021-03-16T13:57:31.000Z,2021-03-16T13:57:33.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.21432228,Additional file 1 of Synchronization of small-scale seismic clusters reveals large-scale plate deformation,figshare,2022,,Text,Creative Commons Attribution 4.0 International,"Additional file 1: Text S1. Normalized cumulative distributions of the magnitude and 9 magnitude completeness of each seismic cluster. Text S2. Cumulative Seismicity. Text S3. Seismicity Rates. Text S4. Singular Value Decomposition. Figure S1. Normalized cumulative distributions of the magnitude of earthquakes 75 for each cluster using the same color coding as in Fig.2. Magnitude completeness 76 of the clusters for 4 different time windows a) 2003 â€“ 2008 (Mc=2.9) b) 2003 â€“ 77 2017 (Mc=2.7) c) 2004 â€“ 2006 (Mc=2.9) d) 2007-2017 (Mc=2.7). Figure S2. Gaussian smoothing function. Figure S3. Processing steps for the seismicity time series. (a) Cumulative 88 number of earthquakes (blue) and daily seismic activity (red) for the Simav 89 cluster (b) after declustering. All plots are normalized by their maximum values. 90 The daily seismic activity is smoothed using the Gaussian function of Figure S2. Figure S4. Singular values of the matrix constructed from daily seismicity time series of the clusters. They are normalized by the first singular value. Figure S5-1. Top: Cumulative seismicity time series of 27 clusters. Bottom: Reconstructed daily seismicity rates using only the first singular value. Figure S5-2. Top: Cumulative seismicity time series of 27 clusters. Bottom: Reconstructed daily seismicity rates using only 3 largest singular values. Figure S6. Top : a) Cumulative seismicity time series of 27 clusters. Bottom: b) Reconstructed time series after removing largest 12 singular values. Figure S7. Comparison of the cumulative seismicity of 27 clusters and the seismicity rates from 2006 to 2017 using a) Kandilli Observatory and earthquake Research Institute (KOERI) ( https://koeri.boun.edu.tr/ ) b) Disaster and Emergency Management Authority of Turkey (AFAD) ( https://deprem.afad.gov.tr/ ) and c) International Seismological Center (ISC) ( http://www.isc.ac.uk/ ) catalogs. Figure S8. Top: The locations of the seismic stations of which the continuous recordings are displayed in the following figures. Middle: 24 hour recordings of NS components of 5 seismic stations (red) and filtered with 1-9Hz bandpass filter (blue). Notice the occurrence of several moderate seismic events at the selected stations in addition to smaller events. Bottom: 6 days long NS component recording of DALT station (red) and filtered with 1-9Hz bandpass filter (blue). Beneath is the spectrogram of the seismic trace. The traces are normalized by maximum values and saturated for small-magnitude events. The seismic activity is not confined to the passage of seismic waves due to Sumatra earthquake. Figure S9. Cumulative number of events of selected clusters in central and eastern Anatolia for the time period of 2004 Sumatra Mw9.2 earthquake (see Figure 1 for the locations of the clusters). Figure S10. Cumulative number of events of selected clusters in the western Anatolia for time period of Hellenic subduction earthquakes (see Figure 1 for the locations of the western clusters). Figure S11. The diagram shows cumulative seismicity of 27 clusters (a) and the seismicity rate color coded for all clusters as in Figure 2 but from 1998 to 2017 (b). The occurrence times of giant earthquakes worldwide and of large regional earthquakes are shown. The color scale is shown on the lower right corner. Figure S12. Cumulative number of earthquakes in Anatolia between 36.80N-41.00N latitudes and 25.5E-44.0E longitudes (includes all clusters in Figure 1) for varying lower magnitude cut-offs between 2.8 (â€˜ml28â€™ blue curve) and 5.8 (â€˜ml58â€™ red curve). The displayed time period is starting 4 years after the 1999 Izmit earthquake and ending with the occurrence of 2011 Van earthquake. The red curve (5.8 magnitude threshold) is showing a sharp increase during the 2004 episode and a plateau during the 2008 episode. On the contrary, the blue curve (2.8 magnitude threshold) exhibits a similar increase between both periods. Figure S13. Broadband N-S component recordings of 2004 Sumatra earthquake at seismic stations shown on top of the traces. The traces are normalized by maximum values (see the map in Figure A8 for station locations.). The period of large amplitude S wave exceeds 100sec. Figure S14. Evolution of the cumulative number of events of the clusters in the two easternmost clusters of Anatolia (see Figure 1 for the locations of the clusters).",mds,True,findable,0,0,0,0,0,2022-10-30T04:22:21.000Z,2022-10-30T04:22:22.000Z,figshare.ars,otjm,"Geology,FOS: Earth and related environmental sciences","[{'subject': 'Geology'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['5315032 Bytes'],
-10.18709/perscido.2017.10.ds117,Sense Embeddings Models,PerSciDo,2017,en,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains the models of sense embeddings, or sense vectors, produced for the article called ""Sense Embeddings in Knowledge-Based Word Sense Disambiguation"" by LoÃ¯c Vial, Benjamin Lecouteux and Didier Schwab, in proceedings of the 12th International Conference on Computational Semantics (IWCS 2017).",api,True,findable,0,0,0,1,0,2017-11-03T01:25:56.000Z,2017-11-03T01:25:56.000Z,inist.persyval,vcob,"Computer Science,Linguistics,FOS: Languages and literature,FOS: Languages and literature,Mathematics,FOS: Mathematics,FOS: Mathematics","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Linguistics'}, {'subject': 'FOS: Languages and literature', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Languages and literature', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['13 GB'],['word2vec']
-10.6084/m9.figshare.13646872,Additional file 1 of Performance of the ROX index to predict intubation in immunocompromised patients receiving high-flow nasal cannula for acute respiratory failure,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Figure S1. ROC curve for ROX index 6 hours after HFNC onset. Figure S2. Probability of intubation according to the multivariable model including ROX index. Figure S3. ROC curve of adjusted ROX index 6 hours after HFNC onset. Figure S4. Comparison between ROC curves of adjusted ROX index and modified model without ROX index. Figure S5. Probability of intubation according to ROX index quartile.,mds,True,findable,0,0,17,1,0,2021-01-27T04:12:36.000Z,2021-01-27T04:12:40.000Z,figshare.ars,otjm,"Medicine,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology,Virology","[{'subject': 'Medicine'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}, {'subject': 'Virology'}]",['6144606 Bytes'],
-10.5281/zenodo.7113144,Geothermal and structural features of La Palma island (Canary Islands) imaged by ambient noise tomography,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",These folders contain all the results obtained in the ambient noise tomography of La Palma for geothermal exploration.,mds,True,findable,0,0,0,0,0,2022-09-26T11:44:00.000Z,2022-09-26T11:44:01.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_gs_20170713_010,Ag K edge XAS fluorescence of frozen Ag-GSH solution (pH=4),SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:29:35.000Z,2019-12-05T14:31:02.000Z,inist.sshade,mgeg,"laboratory,molecular solid solution,Frozen Ag-GSH solution (pH=4),laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen Ag-GSH solution (pH=4)'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5061/dryad.dq444fr,"Data from: Speciation with gene flow: evidence from a complex of alpine butterflies (Coenonympha, Satyridae)",Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Until complete reproductive isolation is achieved, the extent of differentiation between two diverging lineages is the result of a dynamic equilibrium between genetic isolation and mixing. This is especially true for hybrid taxa, for which the degree of isolation in regard to their parental species is decisive in their capacity to rise as a new and stable entity. In this work, we explored the past and current patterns of hybridization and divergence within a complex of closely related butterflies in the genus Coenonympha in which two alpine species, C. darwiniana and C. macromma, have been shown to result from hybridization between the also alpine C. gardetta and the lowland C. arcania. By testing alternative scenarios of divergence among species, we show that gene flow has been uninterrupted throughout the speciation process, although leading to different degrees of current genetic isolation between species in contact zones depending on the pair considered. Nonetheless, at broader geographic scale, analyses reveal a clear genetic differentiation between hybrid lineages and their parental species, pointing out to an advanced stage of the hybrid speciation process. Finally, the positive correlation observed between ecological divergence and genetic isolation among these butterflies suggests a potential role for ecological drivers during their speciation processes.",mds,True,findable,187,12,1,1,0,2019-05-17T14:36:53.000Z,2019-05-17T14:36:53.000Z,dryad.dryad,dryad,"Coenonympha,evolutionary history,HINDEX","[{'subject': 'Coenonympha'}, {'subject': 'evolutionary history'}, {'subject': 'HINDEX'}]",['2022537 bytes'],
-10.26302/sshade/bandlist_abs_ch4_ch4-i,Absorption band list of CH4 in natural solid CH4 (phase I),SSHADE/BANDLIST (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",FIR-MIR-NIR-Vis absorption band list of the isotopes of CH4 in natural solid CH4 (phase I) at 30 and 90 K,mds,True,findable,0,0,0,0,0,2023-04-22T06:34:43.000Z,2023-04-22T06:34:43.000Z,inist.sshade,mgeg,"natural CH4 - phase I,Methane,Methane I ice,CH4-I,Methane,74-82-8,CH4,non polar molecular solid,molecular solids with apolar molecules,organic molecular solid,absorption,NIR,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural CH4 - phase I', 'subjectScheme': 'name'}, {'subject': 'Methane', 'subjectScheme': 'name'}, {'subject': 'Methane I ice', 'subjectScheme': 'name'}, {'subject': 'CH4-I', 'subjectScheme': 'name'}, {'subject': 'Methane', 'subjectScheme': 'IUPAC name'}, {'subject': '74-82-8', 'subjectScheme': 'CAS number'}, {'subject': 'CH4', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.26302/sshade/experiment_cl_20210211_001,"Pt L3 edge XAS transmission and XAS fluorescence of platinum hydrogensulfide complexes in geological fluids (stability, structure and their impact on ore deposit formation)",SSHADE/FAME (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Platinum oxide, chloride, sulfide and polysulfide phases; fluorescence and transmission; 25Â°C; 1 bar 500 bars",mds,True,findable,0,0,0,0,0,2022-12-13T11:18:46.000Z,2022-12-13T11:18:46.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,sulfide,PtS,PtS2,oxide,PtO2,laboratory measurement,transmission,None,hard X,hard X-rays,fluorescence emission","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'sulfide'}, {'subject': 'PtS'}, {'subject': 'PtS2'}, {'subject': 'oxide'}, {'subject': 'PtO2'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'fluorescence emission'}]",['3 spectra'],['ASCII']
-10.6084/m9.figshare.c.6596467,"A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT",figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Immunosuppression after kidney transplantation is mainly guided via plasma tacrolimus trough level, which cannot sufficiently predict allograft rejection and infection. The plasma load of the non-pathogenic and highly prevalent torque teno virus (TTV) is associated with the immunosuppression of its host. Non-interventional studies suggest the use of TTV load to predict allograft rejection and infection. The primary objective of the current trial is to demonstrate the safety, tolerability and preliminary efficacy of TTV-guided immunosuppression. Methods For this purpose, a randomised, controlled, interventional, two-arm, non-inferiority, patient- and assessor-blinded, investigator-driven phase II trial was designed. A total of 260 stable, low-immunological-risk adult recipients of a kidney graft with tacrolimus-based immunosuppression and TTV infection after month 3 post-transplantation will be recruited in 13 academic centres in six European countries. Subjects will be randomised in a 1:1 ratio (allocation concealment) to receive tacrolimus either guided by TTV load or according to the local centre standard for 9 months. The primary composite endpoint includes the occurrence of infections, biopsy-proven allograft rejection, graft loss, or death. The main secondary endpoints include estimated glomerular filtration rate, graft rejection detected by protocol biopsy at month 12 post-transplantation (including molecular microscopy), development of de novo donor-specific antibodies, health-related quality of life, and drug adherence. In parallel, a comprehensive biobank will be established including plasma, serum, urine and whole blood. The date of the first enrolment was August 2022 and the planned end is April 2025. Discussion The assessment of individual kidney transplant recipient immune function might enable clinicians to personalise immunosuppression, thereby reducing infection and rejection. Moreover, the trial might act as a proof of principle for TTV-guided immunosuppression and thus pave the way for broader clinical applications, including as guidance for immune modulators or disease-modifying agents. Trial registration EU CT-Number: 2022-500024-30-00",mds,True,findable,0,0,0,0,0,2023-04-13T16:10:08.000Z,2023-04-13T17:26:49.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.17178/amma-catch.ce.gwat_odc,"Groundwater dataset (water table level), over the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of the processes of groundwater recharge-discharge. Documentation of the groundwater-river connections. Contribution to the water budget at the hillslope scale in relation with soil water, runoff measurements. The identified processes will be used to improve hydrological modelling at the super-site scale (Donga).",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:57.000Z,2018-03-16T15:36:57.000Z,inist.osug,jbru,"Aquifer, recharge, groundwater,Sudanian climate,Water Table","[{'subject': 'Aquifer, recharge, groundwater', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Water Table', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.5865001,Snow equi-temperature metamorphism described by a phase-field model applicable on micro-tomographic images: prediction of microstructural and transport properties,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset provides data described and used in the article submitted to Journal of Advances in Modeling Earth Systems ""Snow equi-temperature metamorphism described by a phase-field model applicable on micro-tomographic images: prediction of microstructural and transport properties"". It contains .csv files with different properties computed on outputs of the model Snow3D simulating equi-temperature metamorphism. This micro-scale model was used here with experimental micro-tomographic snow images as input and returns series of 3-D images of snow showing features of equi-temperature metamorphism at different time steps as output. In this dataset, you will find two types of files: - the microstructural properties (density, specific surface area, covariance lengths, mean curvature) computed on the simulated images at different time steps. - the transport properties (effective conductivity, normalizes effective vapor diffusion coefficient, permeability) of the simulated images at different time steps. Finally, metadata_simulations.csv gather the information relative to the simulations.",mds,True,findable,0,0,0,1,0,2022-01-24T10:40:22.000Z,2022-01-24T10:40:26.000Z,cern.zenodo,cern,"Snow,Model,Micro-scale,Microstructural properties,Transport properties","[{'subject': 'Snow'}, {'subject': 'Model'}, {'subject': 'Micro-scale'}, {'subject': 'Microstructural properties'}, {'subject': 'Transport properties'}]",,
-10.5281/zenodo.4573897,Nanoscale Dynamics of Peptidoglycan Assembly during the Cell Cycle of Streptococcus pneumoniae,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Raw phase contrast images to analyze the shape of <em>Streptococcus pneumoniae</em> cells in the presence of aDA-DA. Raw phase contrast and diffraction-limited images to determine the aDA-DA concentration to use for peptidoglycan labeling in <em>S. pneumoniae</em>. Raw phase contrast and diffraction-limited images to determine the effect of D-cycloserine on aDA and aDA-DA incorporation in <em>S. pneumoniae</em>. Raw bright field, diffraction-limited and dSTORM images to determine the duration of the incubation period with aDA-DA for peptidoglycan labeling in <em>S. pneumoniae</em>. Raw western blot images to analyze the depletion level of PBP2b in <em>S. pneumoniae</em>. Raw bright field, diffraction-limited and dSTORM images to analyze peptidoglycan synthesis in <em>S. pneumoniae</em>.",mds,True,findable,0,0,0,0,0,2021-03-09T14:53:30.000Z,2021-03-09T14:53:31.000Z,cern.zenodo,cern,,,,
-10.57745/69unam,Tracking of Gag-mCherry spots,Recherche Data Gouv,2023,,Dataset,,"Gag-mcherry spot tracking in individual HeLa CCL2 cells or HeLA Kyoto BST2- cells. The cells were transfected by Gag/Gag-mCherry alone or Gag/Gag-mCherry along with Vps4A E228Q, CHMP4B-NS3-green, and CHMP2A-NS3-green, and then treated or not by Glecaprevir, as indicated.",mds,True,findable,67,1,0,0,0,2023-11-20T15:36:29.000Z,2023-11-20T15:56:17.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.1289969,Data Sets For The Simulated Ampi (Sampi) Load Balancing Simulation Workflow And Ondes3D Performance Analysis (Companion To Ccpe Paper),Zenodo,2018,en,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","This package contains data sets and scripts (in an Org-mode file) related to our submission to the  journal ""Concurrency and Computation: Practice and Experience"", under the title <em>""Performance Modeling of a Geophysics Application to Accelerate the Tuning of Over-decomposition Parameters through Simulation""</em>.",,True,findable,3,0,0,0,0,2018-06-14T22:08:54.000Z,2018-06-14T22:08:55.000Z,cern.zenodo,cern,"Simulation,Load Balancing,Performance Analysis,Finite-Differences Method,Simgrid,MPI,Ondes3d,Iterative parallel application","[{'subject': 'Simulation'}, {'subject': 'Load Balancing'}, {'subject': 'Performance Analysis'}, {'subject': 'Finite-Differences Method'}, {'subject': 'Simgrid'}, {'subject': 'MPI'}, {'subject': 'Ondes3d'}, {'subject': 'Iterative parallel application'}]",,
-10.26302/sshade/experiment_rc_20200511_000,VIS-NIR reflectance spectra collected during low-temperature and near-vacuum sublimation of spherical salty ice particles (67 Âµm average diameter) produced by freezing droplets of solutions of Na2SO4 with three different concentrations,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Spherical ice particles are produced by spraying droplets of salt solution into liquid nitrogen with the SPIPA-B setup. Centimeter-thick samples made of these particles are then introduced in the SCITEAS-2 simulations chamber and their slow sublimation at low temperature and in secondary vacuum is followed for several tens of hours by VIS-NIR hyperspectral imaging.,mds,True,findable,0,0,0,0,0,2023-06-09T17:14:52.000Z,2023-06-09T17:14:53.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,water ice,Sodium sulfate hydrates,laboratory,inorganic molecular solid,sulfate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'Sodium sulfate hydrates', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'sulfate', 'subjectScheme': 'compound type'}]",['184 spectra'],['ASCII']
-10.15778/resif.zh2003,Seismic network ZH:NORTH ZAGROS lithospheric transect (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2006,en,Other,"Open Access,Creative Commons Attribution 4.0 International","Temporary seismic network across Northern Zagros (Iran). Goal: seismic imaging of the lithosphere from earthquake data. 42 stations on a 470-km long profile. Sensors: GÃ¼ralp CMG40-T and CMG3-ESP, Streckheisen STS-2, Lennartz Le-3D-5s. Digitizers: Agecodagis Minititan.",mds,True,findable,0,0,0,1,0,2014-12-09T06:25:54.000Z,2014-12-09T06:25:54.000Z,inist.resif,vcob,"Zagros,Lithospheric structure","[{'subject': 'Zagros'}, {'subject': 'Lithospheric structure'}]",,
-10.5281/zenodo.5998113,"PrISM satellite rainfall product (2010-2021) based on SMOS soil moisture measurements in Africa (3h, 0.1Â°)",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The PrISM product is a satellite precipitation product available for Africa over a regular grid at 0.1Â° (about 10x10 kmÂ²) and every 3 hours. It is obtained from the synergy of SMOS satellite soil moisture measurements and IMERG-Early Run precipitation product through the PrIMS algorithm (<em>Pellarin et al., 2009, 2013, 2020, 2022, Louvet et al., 2015, </em>RomÃ¡n-CascÃ³n et al. 2017).",mds,True,findable,0,0,0,0,0,2022-02-07T16:46:53.000Z,2022-02-07T16:46:54.000Z,cern.zenodo,cern,Rainfall product (mm/3h) in Africa (2010-2020),[{'subject': 'Rainfall product (mm/3h) in Africa (2010-2020)'}],,
-10.5281/zenodo.10654576,"Calculs de Puissance, de la Taille d'Ã‰chantillon et du Smallest Effect Size of Interest (SESOI)",Zenodo,2024,,InteractiveResource,Creative Commons Attribution 4.0 International,"Cet atelier Ã  pour objectif d'expliquer pourquoi et comment conduire (a) un calcul de puissance, (b) un calcul de taille d'Ã©chantillon et (c) un calcul du Smallest Effect Size of Interest (SESOI). Une Ã©tude fictive nous permet d'illustrer ces concepts tout au long de l'atelier, notamment via l'utilisation du logiciel G*Power.
-
-Vous trouverez les ressources suivantes :
-
-
-
-L'enregistrement vidÃ©o de l'atelier
-
-Le support .pdf qui intÃ¨gre les ressources utilisÃ©es pour crÃ©er l'atelier et vous permettre d'aller plus loin dans cette rÃ©flexion",api,True,findable,0,0,0,0,0,2024-02-13T14:28:34.000Z,2024-02-13T14:28:34.000Z,cern.zenodo,cern,"Power analysis,Sample size,Smallest effect size of interest","[{'subject': 'Power analysis'}, {'subject': 'Sample size'}, {'subject': 'Smallest effect size of interest'}]",,
-10.5281/zenodo.1068339,Data Sets For The Simulated Ampi (Sampi) Load Balancing Simulation Workflow And Ondes3D Performance Analysis (Companion To Ccpe  - Euro-Par 2017 Special Issue),Zenodo,2017,en,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","This package contains data sets and scripts (in an Org-mode file) related to our submission to the special Euro-Par 2017 issue of the  journal ""Concurrency and Computation: Practice and Experience"", under the title ""Performance Modeling of a Geophysics Application to Accelerate Over-decomposition Parameter Tuning through Simulation"".",,True,findable,0,0,0,0,0,2017-11-29T18:49:05.000Z,2017-11-29T18:49:06.000Z,cern.zenodo,cern,"Simulation,Load Balancing,Performance Analysis,Over-decomposition,Finite-Differences Method,Simgrid,MPI,Ondes3d,Iterative parallel application","[{'subject': 'Simulation'}, {'subject': 'Load Balancing'}, {'subject': 'Performance Analysis'}, {'subject': 'Over-decomposition'}, {'subject': 'Finite-Differences Method'}, {'subject': 'Simgrid'}, {'subject': 'MPI'}, {'subject': 'Ondes3d'}, {'subject': 'Iterative parallel application'}]",,
-10.5281/zenodo.3635402,Measurement of Absolute Retinal Blood Flow Using a Laser Doppler Velocimeter Combined with Adaptive Optics,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Data set of measurements related to the following:</strong> <strong>Purpose: </strong>Development and validation of an absolute laser Doppler velocimeter (LDV) based on an adaptive optical fundus camera which provides simultaneously high definition images of the fundus vessels and absolute maximal red blood cells (RBCs) velocity in order to calculate the absolute retinal blood flow. <strong>Methods: </strong>This new absolute laser Doppler velocimeter is combined with the adaptive optics fundus camera (rtx1, Imagine EyesÂ©,Orsay, France) outside its optical wavefront correction path. A 4 seconds recording includes 40 images, each synchronized with two Doppler shift power spectra. Image analysis provides the vessel diameter close to the probing beam and the velocity of the RBCs in the vessels are extracted from the Doppler spectral analysis. Combination of those values gives an average of the absolute retinal blood flow. An in vitro experiment consisting of latex microspheres flowing in water through a glass-capillary to simulate a blood vessel and in vivo measurements on six healthy human retinal venous junctions were done to assess the device. <strong>Results: </strong>In the in vitro experiment, the calculated flow varied between 1.75 Î¼l/min and 25.9 Î¼l/min and was highly correlated (r2 = 0.995) with the imposed flow by a syringe pump. In the in vivo experiment, the error between the flow in the parent vessel and the sum of the flow in the daughter vessels was between âˆ’25% and 17% (meanÂ±sd âˆ’2 Â± 17%). Retinal blood flow in the main temporal retinal veins of healthy subjects varied between 1.3 Î¼L/min and 28.7 Î¼L/min <strong>Conclusion: </strong>This adaptive optics LDV prototype (aoLDV) allows the measurement of absolute retinal blood flow derived from the retinal vessel diameter and the maximum RBCs velocity in that vessel.",mds,True,findable,0,0,0,0,0,2020-02-06T10:39:05.000Z,2020-02-06T10:39:06.000Z,cern.zenodo,cern,"laser Doppler velocimetry, ocular blood flow","[{'subject': 'laser Doppler velocimetry, ocular blood flow'}]",,
-10.5281/zenodo.3773905,Erroneous Reagent Checking (ERC) benchmark,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The <strong>Erroneous Reagent Checking (ERC) benchmark</strong> assesses the accuracy of fact-checkers screening biomedical publications for dubious mentions of nucleotide sequence reagents. It comes with a test collection comprised of 1,679 nucleotide sequence reagents that were curated by biomedical experts.",mds,True,findable,0,0,0,0,0,2020-04-28T14:56:06.000Z,2020-04-28T14:56:07.000Z,cern.zenodo,cern,"scientific text,biomedical literature,fact-checking,errors,nucleotide sequences,reagents,genes,benchmark,PDF","[{'subject': 'scientific text'}, {'subject': 'biomedical literature'}, {'subject': 'fact-checking'}, {'subject': 'errors'}, {'subject': 'nucleotide sequences'}, {'subject': 'reagents'}, {'subject': 'genes'}, {'subject': 'benchmark'}, {'subject': 'PDF'}]",,
-10.5281/zenodo.10036360,"Data and code for the article "" Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe""",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Research compendium to reproduce analyses and figures of the article: Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe by GaÃ¼zÃ¨re et al. published in Current Biology
-Pierre GaÃ¼zÃ¨re
-General
-This repository is structured as follow:
-
-data/: contains data required to reproduce figures and tables
-analyses/: contains scripts organized sequentially. A -> B -> C -> ..
-outputs/: follows the structure of analyses. Contains intermediate numeric results used to produce the figures
-figures_tables/: Contains the figures of the paper
-Figures & tables
-Figures will be stored in figures_tables/. Tables will be stored in outputs/.",api,True,findable,0,0,0,0,0,2023-10-24T08:17:46.000Z,2023-10-24T08:17:46.000Z,cern.zenodo,cern,,,,
-10.7280/d11h3x,Annual Ice Velocity of the Greenland Ice Sheet (2010-2017),Dryad,2019,en,Dataset,Creative Commons Attribution 4.0 International,"We derive surface ice velocity using data from 16 satellite sensors deployed by 6 different space agencies. The list of sensors is given in the Table S1. The SAR data are processed from raw to single look complex using the GAMMA processor (www.gamma-rs.ch). All measurements rely on consecutive images where the ice displacement is estimated from tracking or interferometry (Joughin et al. 1998, Michel and Rignot 1999, Mouginot et al. 2012). Surface ice motion is detected using a speckle tracking algorithm for SAR instruments and feature tracking for Landsat. The cross-correlation program for both SAR and optical images is ampcor from the JPL/Caltech repeat orbit interferometry package (ROI_PAC). We assemble a composite ice velocity mosaic at 150 m posting using our entire speed database as described in Mouginot et al. 2017 (Fig. 1A). The ice velocity maps are also mosaicked in annual maps at 150 m posting, covering July, 1st to June, 30th of the following year, i.e. centered on January, 1st (12) because a majority of historic data were acquired in winter season, hence spanning two calendar years. We use Landsat-1&amp;2/MSS images between 1972 and 1976 and combine image pairs up to 2 years apart to measure the displacement of surface features between images as described in Dehecq et al., 2015 or Mouginot et al. 2017. We use the 1978 2-m orthorectified aerial images to correct the geolocation of Landsat-1 and -2 images (Korsgaard et al., 2016). Between 1984 and 1991, we process Landsat-4&amp;5/TM image pairs acquired up to 1-year apart. Only few Landsat-4 and -5 images (~3%) needed geocoding refinement using the same 1978 reference as used previously. Between 1991 and 1998, we process radar images from the European ERS-1/2, with a repeat cycle varying from 3 to 36 days depending on the mission phase. Between 1999 and 2013, we used Landsat-7, ASTER, RADARSAT-1/2, ALOS/PALSAR, ENVISAT/ASAR to determine surface velocity (Joughin et al., 2010; Howat, I. 2017; Rignot and Mouginot, 2012). After 2013, we use Landsat-8, Sentinel-1a/b and RADARSAT-2 (Mouginot et al., 2017). All synthetic aperture radar (SAR) datasets are processed assuming surface parallel flow using the digital elevation model (DEM) from the Greenland Mapping Project (GIMP; Howat et al., 2014) and calibrated as described in Mouginot et al., 2012, 2017. Data were provided by the European Space Agency (ESA), the EU Copernicus program (through ESA), the Canadian Space Agency (CSA), the Japan Aerospace Exploration Agency (JAXA), the Agenzia Spaziale Italiana (ASI), the Deutsches Zentrum fuÌˆr Luft- und Raumfahrt e.V. (DLR) and the National Aeronautics and Space Administration (NASA). SAR data acquisitions were coordinated by the Polar Space Task Group (PSTG). Errors are estimated based on sensor resolution and time lapse between consecutive images as described in Mouginot et al. 2017.",mds,True,findable,761,111,0,3,0,2019-03-29T12:53:36.000Z,2019-03-29T12:53:37.000Z,dryad.dryad,dryad,,,['5035575468 bytes'],
-10.5061/dryad.zkh189382,Effects of soil preservation for biodiversity monitoring using environmental DNA,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Environmental DNA metabarcoding is becoming a key tool for biodiversity monitoring over large geographical or taxonomic scales and for elusive taxa like soil organisms. Increasing sample sizes and interest in remote or extreme areas often require the preservation of soil samples and thus deviations from optimal standardized protocols. However, we still ignore the impact of different methods of soil sample preservation on the results of metabarcoding studies and there is no guidelines for best practices so far. Here, we assessed the impact of four methods of soil sample preservation commonly used in metabarcoding studies (preservation at room temperature for 6h, preservation at 4Â°C for three days, desiccation immediately after sampling and preservation for 21 days, and desiccation after 6h at room temperature and preservation for 21 days). For each preservation method, we benchmarked resulting estimates of taxon diversity and community composition of three different taxonomic groups (bacteria, fungi and eukaryotes) in three different habitats (forest, river bank and grassland) against results obtained under optimal conditions (i.e. extraction of eDNA right after sampling). Overall, the different preservation methods only marginally impaired results and only under certain conditions. When rare taxa were considered, we detected small but significant changes in MOTU richness of bacteria, fungi and eukaryotes across treatments, while the exclusion of rare taxa led to robust results across preservation methods. The differences in community structure among habitats were evident for all treatments, and the communities retrieved using the different preservation conditions were extremely similar. We propose guidelines on the selection of the optimal soil sample preservation conditions for metabarcoding studies, depending on the practical constraints, costs and ultimate research goals.",mds,True,findable,213,22,0,1,0,2020-09-24T04:54:08.000Z,2020-09-24T04:54:09.000Z,dryad.dryad,dryad,"sample storage,MOTU richness,Î± and Î² diversity,microbial communities","[{'subject': 'sample storage'}, {'subject': 'MOTU richness'}, {'subject': 'Î± and Î² diversity'}, {'subject': 'microbial communities'}]",['7014998982 bytes'],
-10.17178/emaa_a-(13c)h3oh_rotation_6b79e149,Rotation excitation of A-[13C]H3OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 40 radiative transitions / 165 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 171 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:30.000Z,2023-12-07T15:50:31.000Z,inist.osug,jbru,"target A-[13C]H3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target A-[13C]H3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.10636065,Assessing the accuracy of excited-state geometries through optimal tuning of TD-DFT with GW,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This data set is a part of Supporting Info for our work entitled â€œAssessing the accuracy of excited-state geometries through optimal tuning of TD-DFT with GWâ€ which is to be submitted to the Journal of Chemical Physics. In this data set, we provide the XYZ coordinates for the compounds studied in this work.",api,True,findable,0,0,0,0,1,2024-02-16T12:23:14.000Z,2024-02-16T12:23:15.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_sb_20200430_001,Optical constants in the MIR and FIR for oriented hibonite crystals parallel and perpendicular to the c-axis,SSHADE/DOCCD (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-05-28T14:06:16.000Z,2020-05-28T14:06:17.000Z,inist.sshade,mgeg,"natural terrestrial,oxide-hydroxide,Hibonite,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hibonite'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['2 spectra'],['ASCII']
-10.6084/m9.figshare.12991759,Additional file 3 of Association between Neu5Gc carbohydrate and serum antibodies against it provides the molecular link to cancer: French NutriNet-SantÃ© study,figshare,2020,,Dataset,Creative Commons Attribution 4.0 International,Additional file 3: Supplementary data file S2. Glycan microarray.,mds,True,findable,0,0,0,1,0,2020-09-23T03:28:12.000Z,2020-09-23T03:28:17.000Z,figshare.ars,otjm,"Biochemistry,Neuroscience,Physiology,FOS: Biological sciences,Biotechnology,Chemical Sciences not elsewhere classified,Ecology,Immunology,FOS: Clinical medicine,Mathematical Sciences not elsewhere classified,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Biochemistry'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['134190 Bytes'],
-10.26302/sshade/bandlist_abs_hematite,Absorption bandlist of crystalline hematite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",UV and FIR-MIR absorption bandlist of crystalline hematite,mds,True,findable,0,0,0,0,0,2023-05-08T21:15:08.000Z,2023-05-08T21:15:09.000Z,inist.sshade,mgeg,"Hematite,Iron(III) cation,Oxygen,Iron(3+) cation,Oxygen,20074-52-6,17778-80-2,Fe3+,O,Fe2O3,Hematite,non-silicate mineral,oxide-hydroxide,oxides and hydroxides,simple oxides,Corundum-Hematite group (Rhombohedral: R-3c),04.03.01.02,04.CB.05,absorption,FIR,MIR,UV,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Hematite', 'subjectScheme': 'name'}, {'subject': 'Iron(III) cation', 'subjectScheme': 'name'}, {'subject': 'Oxygen', 'subjectScheme': 'name'}, {'subject': 'Iron(3+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Oxygen', 'subjectScheme': 'IUPAC name'}, {'subject': '20074-52-6', 'subjectScheme': 'CAS number'}, {'subject': '17778-80-2', 'subjectScheme': 'CAS number'}, {'subject': 'Fe3+', 'subjectScheme': 'formula'}, {'subject': 'O', 'subjectScheme': 'formula'}, {'subject': 'Fe2O3', 'subjectScheme': 'formula'}, {'subject': 'Hematite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'oxide-hydroxide', 'subjectScheme': 'compound type'}, {'subject': 'oxides and hydroxides', 'subjectScheme': 'Dana class'}, {'subject': 'simple oxides', 'subjectScheme': 'Dana class'}, {'subject': 'Corundum-Hematite group (Rhombohedral: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '04.03.01.02', 'subjectScheme': 'Dana code'}, {'subject': '04.CB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'absorption', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'UV', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.6084/m9.figshare.23822160,File 6 : Matlab file for part 2 and of the experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,File 6 : This matlab file corresponds to the adaptation and post adaptation PSE measures and should be launched second.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:28.000Z,2023-08-02T11:18:28.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['20342 Bytes'],
-10.15778/resif.1d2019,Seismic network 1D:Temporary installation of 13 sensors (3C fairfield nodes) on ArgentiÃ¨re Glacier and near Col des Grands Motets in the Mont Blanc massif (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2020,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","We have installed 13 seismometers on glaciers in the Mont-Blanc massif. One antenna of 5 sensors was located at the Col des Grands Montets, with a distance of about 100 m between sensors. Two others antennas of 4 sensors were installed on ArgentiÃ¨re glacier at an elevation of 2550 m and 2700 m. These sensors were in acquisition for a little more than one month, between 2019/12/5 and 2020/1/8. The goal of this experiment was to detect low frequency icequakes associated with glacier basal sliding. Such events occur mainly after snowfall. As expected, we have detected and located several thousands of low frequency (about 5 Hz) icequakes,manly following the largest snow-fall episode of 2019/12/22-23. We have also detected hundreds of local earthquakes, occurring within the Courmayeur and Chamonix swarms. These events were useful to check the sensors orientation and correct the clock drift. Indeed, the GPS of the sensors were not in acquisition, except when the sensors were started in Chamonix on 2019/12/4.",mds,True,findable,0,0,1,1,0,2020-04-21T14:23:49.000Z,2020-04-21T14:24:42.000Z,inist.resif,vcob,"Glacier,icequake,basal sliding,earthquake swarms,ArgentiÃ¨re,Courmayeur","[{'subject': 'Glacier'}, {'subject': 'icequake'}, {'subject': 'basal sliding'}, {'subject': 'earthquake swarms'}, {'subject': 'ArgentiÃ¨re'}, {'subject': 'Courmayeur'}]","['13 stations, 43 Gb Gb']","['Miniseed data', 'HDF5 data', 'stationXML metadata']"
-10.5281/zenodo.8225005,Introduction: Extending the reach of English pronunciation issues and practices,Zenodo,2023,en,Other,"Creative Commons Attribution 4.0 International,Open Access","This chapter is the Introduction to the Proceedings of the 7th International Conference English Pronunciation: Issues and Practices (EPIP 7) held May 18â€“20, 2022 at UniversitÃ© Grenoble-Alpes, France.",mds,True,findable,0,0,0,0,0,2023-08-08T13:50:08.000Z,2023-08-08T13:50:08.000Z,cern.zenodo,cern,English pronunciation,[{'subject': 'English pronunciation'}],,
-10.5281/zenodo.3483601,Virtual tide gauges for predicting relative sea level rise supporting data,Zenodo,2019,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data and results from the publication Hawkins R., Husson L., Choblet G., Bodin T. and Pfeffer J.,<br> ""Virtual tide gauges for predicting relative sea level rise"",<br> JGR: Solid Earth,<br> 2019 (submitted)<br> Software available from https://github.com/rhyshawkins/TransTessellate2D/",mds,True,findable,0,0,0,0,0,2019-10-12T12:57:17.000Z,2019-10-12T12:57:17.000Z,cern.zenodo,cern,Sea level,[{'subject': 'Sea level'}],,
-10.26302/sshade/experiment_sr_20200204_00,Ion irradiation ($He^+$) of a Serpentine Rawhide pellet probed by IR spectroscopy in the Vis-NIR range,SSHADE/DAYSY (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis and Near-IR spectra of a pellet of Serpentine Rawhide, with different irradiation fluences.",mds,True,findable,0,0,0,0,0,2022-05-29T16:30:10.000Z,2022-05-29T16:30:11.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,Serpentine Rawhide,laboratory measurement,bidirectional reflection,microscopy,Vis,Visible,macroscopic,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Serpentine Rawhide'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'microscopy'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['4 spectra'],['ASCII']
-10.57745/tor3sf,CaractÃ©risation dâ€™un poste de soudure Cold MÃ©tal Transfer pour le pilotage du procÃ©dÃ© Wire Arc Additive Manufacturing,Recherche Data Gouv,2023,,Dataset,,Les donnÃ©es prÃ©sentÃ©es ici font partie de l'article : Pilotage dâ€™un poste de soudure Cold MÃ©tal Transfert pour le Wire Arc Additive Manufacturing Les donnÃ©es permettent produire les graphiques en 3 dimensions ainsi que la diffusion des rÃ©sultats produits. Le jeu de donnÃ©es contient les fichiers suivant : - data.csv : ensemble des donnÃ©es utilisÃ© dans cet article - graph.py : fonctions pour gÃ©nÃ©rer les graphiques de l'article en 3 Dimentions. - main.py : fichier principal pour lancer le code. Il permet de changer la valeur exemple de wfs_v consigne ainsi que les points aberrants.,mds,True,findable,98,10,0,0,0,2023-01-10T14:45:48.000Z,2023-01-26T13:29:24.000Z,rdg.prod,rdg,,,,
-10.26302/sshade/experiment_bs_20201201_001,"Bidirectional Vis-NIR reflectance spectra of two tholins samples (+ mixtures with pyrrhotite) at various illumination-observation geometries (i=0Â°,30Â°,60Â° - e= -70Â° to 70Â°) and their extracted single scattering albedo and optical constants spectra",SSHADE/GhoSST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Bidirectional Vis-NIR reflectance spectra (0.4-2.5 Âµm) of two tholins samples (99%-N2:1%-CH4:500ppm-CO and 95%-N2:5%-CH4:500ppm-CO) at various illumination-observation geometries (i=0Â°,30Â°,60Â° - e= -70Â° to 70Â°, step 10Â°) and their extracted single scattering albedo and optical constants spectra. Also series of 13 mixtures with pyrrhotite (from 1ppm to 5%)",mds,True,findable,0,0,0,0,0,2021-06-02T08:37:35.000Z,2021-06-02T08:37:36.000Z,inist.sshade,mgeg,"carbonaceous,laboratory,complex macromolecular mixture,Tholins,natural terrestrial,sulfide,Pyrrhotite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor,single scattering albedo,optical constants","[{'subject': 'carbonaceous'}, {'subject': 'laboratory'}, {'subject': 'complex macromolecular mixture'}, {'subject': 'Tholins'}, {'subject': 'natural terrestrial'}, {'subject': 'sulfide'}, {'subject': 'Pyrrhotite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}, {'subject': 'single scattering albedo'}, {'subject': 'optical constants'}]",['21 spectra'],['ASCII']
-10.15778/resif.y42004,Seismic network Y4: Alps temporary broad band experiment (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2009,en,Other,"Open Access,Creative Commons Attribution 4.0 International","The Alps04 experiment is aimed at studying surface wave propagation in the Alps. 12 broadband stations were installed for a duration of approximately three years, between the Massif Central and the Italian Boarder.",mds,True,findable,0,0,0,1,0,2018-02-15T14:27:44.000Z,2018-02-15T14:27:44.000Z,inist.resif,vcob,"seismology,Alps,France","[{'subject': 'seismology'}, {'subject': 'Alps'}, {'subject': 'France'}]",,
-10.6084/m9.figshare.c.6604292,Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Identifying common factors that affect public adherence to COVID-19 containment measures can directly inform the development of official public health communication strategies. The present international longitudinal study aimed to examine whether prosociality, together with other theoretically derived motivating factors (self-efficacy, perceived susceptibility and severity of COVID-19, perceived social support) predict the change in adherence to COVID-19 containment strategies. Method In wave 1 of data collection, adults from eight geographical regions completed online surveys beginning in April 2020, and wave 2 began in June and ended in September 2020. Hypothesized predictors included prosociality, self-efficacy in following COVID-19 containment measures, perceived susceptibility to COVID-19, perceived severity of COVID-19 and perceived social support. Baseline covariates included age, sex, history of COVID-19 infection and geographical regions. Participants who reported adhering to specific containment measures, including physical distancing, avoidance of non-essential travel and hand hygiene, were classified as adherence. The dependent variable was the category of adherence, which was constructed based on changes in adherence across the survey period and included four categories: non-adherence, less adherence, greater adherence and sustained adherence (which was designated as the reference category). Results In total, 2189 adult participants (82% female, 57.2% aged 31â€“59 years) from East Asia (217 [9.7%]), West Asia (246 [11.2%]), North and South America (131 [6.0%]), Northern Europe (600 [27.4%]), Western Europe (322 [14.7%]), Southern Europe (433 [19.8%]), Eastern Europe (148 [6.8%]) and other regions (96 [4.4%]) were analyzed. Adjusted multinomial logistic regression analyses showed that prosociality, self-efficacy, perceived susceptibility and severity of COVID-19 were significant factors affecting adherence. Participants with greater self-efficacy at wave 1 were less likely to become non-adherence at wave 2 by 26% (adjusted odds ratio [aOR], 0.74; 95% CI, 0.71 to 0.77; P &lt; .001), while those with greater prosociality at wave 1 were less likely to become less adherence at wave 2 by 23% (aOR, 0.77; 95% CI, 0.75 to 0.79; P = .04). Conclusions This study provides evidence that in addition to emphasizing the potential severity of COVID-19 and the potential susceptibility to contact with the virus, fostering self-efficacy in following containment strategies and prosociality appears to be a viable public health education or communication strategy to combat COVID-19.",mds,True,findable,0,0,0,0,0,2023-04-18T04:38:34.000Z,2023-04-18T04:38:34.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5061/dryad.c2fqz616h,Biotic homogenisation in bird communities leads to large-scale changes in species associations,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"This is the dataset used for the manuscript Biotic homogenisation in bird communities leads to large-scale changes in species associations Aim: The impact of global change on biodiversity is commonly assessed in terms of changes in species distributions, community richness and community composition. Whether and how much associations between species, i.e. the degree of correlation in their spatial co-occurrence, are also changing is much less documented and mostly limited to local studies of ecological networks. In this study, we quantify changes in large-scale patterns of species associations in bird communities in relation to changes in species composition. Location: France. Time period: 2001-2017. Major taxa studied: Common breeding birds. Methods: We use network approaches to build three community-aggregated indices reflecting complementary aspects of species association networks. We characterise the spatio-temporal dynamics of these indices using a large-scale and high-resolution dataset of bird co-abundances of 109 species monitored for 17 years (2001-2017) from 1,969 sites across France. We finally test whether spatial and temporal changes in species association networks are related to species homogenisation estimated as the spatio-temporal dynamics of Î²-diversity and the proportion of habitat generalists. The consistency of these relationships is tested across three main habitats, namely woodland, grassland and human settlements. Results: We document a directional change in association-based indices in response to modifications in Î²-diversity and in the proportion of generalists in space and time. Weaker associations and sparser networks were related to lower Î²-diversity and a higher proportion of generalists, suggesting an overlooked aspect of biotic homogenisation affecting species associations. We report that this overall pattern is not constant across habitats, with opposite relationships between biotic homogenisation and change in species association networks in urban versus forest communities suggesting distinct homogenisation processes. Main Conclusions: Although species association contain only partial signatures of species interactions, our study highlights that biotic homogenisation translates to finer changes in community structure by affecting the number, strength and type of species associations.",mds,True,findable,176,21,0,0,0,2021-01-05T18:39:07.000Z,2021-01-05T18:39:08.000Z,dryad.dryad,dryad,,,['226536182 bytes'],
-10.26302/sshade/experiment_ak_20141115_1,Mid-infrared attenuated total reflectance experiment with Cs+ exchanged less 2 Î¼m size fraction of montmorillonite (SAz-2) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:15:03.000Z,2022-11-04T08:15:04.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Cs-exchanged montmorillonite SAz-2 size-fraction &lt;2 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Cs-exchanged montmorillonite SAz-2 size-fraction &lt;2 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['3 spectra'],['ASCII']
-10.5281/zenodo.10575610,Two-phase LES oscillatory sheet flow data,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains phase-averaged numerical data of two-phase Large-Eddy Simulations (LES) of oscillatory sheet flow configurations M512, F512, F5010, M5010, S706015m and S706015f presented in Mathieu et al. (2022) and Mathieu et al.(2024) using sedFoam (10.5281/zenodo.7944048). Details about numerical model, methods and averaging procedure can be found in the aforementioned publications.",api,True,findable,0,0,0,0,1,2024-01-27T15:21:57.000Z,2024-01-27T15:21:57.000Z,cern.zenodo,cern,"Sediment transport,Large-Eddy Simulation,Two-phase flow modelling,Oscillatory sheet flow","[{'subject': 'Sediment transport'}, {'subject': 'Large-Eddy Simulation'}, {'subject': 'Two-phase flow modelling'}, {'subject': 'Oscillatory sheet flow'}]",,
-10.57745/w9n5z9,Habitants exposÃ©s au retrait-gonflement des argiles et/ou aux risques d'inondation,Recherche Data Gouv,2023,,Dataset,,"Nombre dâ€™habitants exposÃ©s au phÃ©nomÃ¨ne de retrait-gonflement des argiles (AlÃ©a faible, moyen, fort) et/ou aux risques dâ€™inondation (niveau de risque moyen de dÃ©bordement des cours dâ€™eau, ruissellement, submersion marine). INSEE_COM : commune (Ã©dition Juin 2023) ALEA_Faible : nombre dâ€™habitants (2017) dans une zone de retrait-gonflement des argiles Ã  faible alÃ©a ; ALEA_Moyen : nombre dâ€™habitants (2017) dans une zone de retrait-gonflement des argiles Ã  alÃ©a moyen ; ALEA_Fort : nombre dâ€™habitants (2017) dans une zone de retrait-gonflement des argiles Ã  alÃ©a fort debordement_02Moy : nombre dâ€™habitants (2017) exposÃ©s Ã  un niveau moyen de dÃ©bordement debordement_NA : nombre dâ€™habitants (2017) non exposÃ©s au dÃ©bordement ruissellement_02Moy : nombre dâ€™habitants (2017) exposÃ©s Ã  un niveau moyen de ruissellement ruissellement_NA : nombre dâ€™habitants (2017) non exposÃ©s au ruissellement submersion_02Moy : : nombre dâ€™habitants (2017) exposÃ©s Ã  un niveau moyen de submersion marine submersion_NA : nombre dâ€™habitants (2017) non exposÃ©s Ã  une submersion marine",mds,True,findable,34,7,0,0,0,2023-07-06T13:15:30.000Z,2023-07-06T13:18:20.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.8420459,Datasets for 2D Vertical Convection: Base States and Leading Linear Modes using Snek5000-cbox,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains two types of datasets related to 2D vertical convection analysis, generated using the snek5000-cbox simulation framework. The first dataset includes base states computed with the Selective Frequency Damping (SFD) method, considering various aspect ratios and Prandtl numbers. The second dataset provides the decomposed amplitude, phase, frequency, and omega of the leading linear mode, accompanied by the corresponding base states for different aspect ratios and Prandtl numbers. All datasets are stored in the .h5 file format for easy access and analysis. The scripts used to produce the datasets are provided in the repository https://github.com/snek5000/snek5000-cbox/tree/main/doc/scripts/2022sidewall_conv_instabilities.",mds,True,findable,0,0,0,0,0,2023-10-09T09:09:02.000Z,2023-10-09T09:09:02.000Z,cern.zenodo,cern,"Vertical convection,Linear stability,Snek5000-cbox","[{'subject': 'Vertical convection'}, {'subject': 'Linear stability'}, {'subject': 'Snek5000-cbox'}]",,
-10.6084/m9.figshare.22649276,Additional file 2 of Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 2: Supplementary Table 2. Number of the participants involved in the study from each country and geographical region.,mds,True,findable,0,0,0,0,0,2023-04-18T04:38:31.000Z,2023-04-18T04:38:31.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['30771 Bytes'],
-10.26302/sshade/experiment_lb_20201001_001,"Raw MIR transmission spectra of matrix fragments of CO chondrites, pressed on diamonds under vacuum and at several temperatures",SSHADE/GhoSST (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","MIR spectra of several matrix fragments of DOM 08006, MIL 07687, LAP 031117, DOM 03238, and Kainsaz CO chondrites under vacuum and at ambient temperature, 100Â°C and 300Â°C",mds,True,findable,0,0,0,1,0,2022-10-13T13:26:37.000Z,2022-10-13T13:26:37.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix DOM08006,physically adsorbed phase,adsorbed phase,matrix MIL07687,matrix LAP031117,matrix DOM03238,matrix Kainsaz,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix DOM08006'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed phase'}, {'subject': 'matrix MIL07687'}, {'subject': 'matrix LAP031117'}, {'subject': 'matrix DOM03238'}, {'subject': 'matrix Kainsaz'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['68 spectra'],['ASCII']
-10.6084/m9.figshare.23575363,Additional file 2 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authorsâ€™ original file for figure 1,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:45.000Z,2023-06-25T03:11:46.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['157184 Bytes'],
-10.5061/dryad.6c886,Data from: Present conditions may mediate the legacy effect of past land-use changes on species richness and composition of above- and below-ground assemblages,Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"1. In forest ecosystems, the influence of landscape history on contemporary biodiversity patterns has been shown to provide a convenient framework to explain shifts in plant assemblages. However, very few studies have controlled for present human-induced activities when analyzing the effect of forest continuity on community structures. By cutting and removing trees, foresters substantially change stand ecological conditions, with consequences on biodiversity patterns. Disentangling the effect of past and present human activities on biodiversity is thus crucial for ecosystem management and conservation. 2. We explored the response of plant and springtail species richness and composition to forest continuity (ancient vs recent) in montane forests, while controlling for stand maturity (mature vs overmature). We established 70 sites in landscapes dominated by unfragmented ancient forests where we surveyed plants and assessed springtails by analyzing environmental DNA. 3. Neither plant nor springtail species richness was influenced by forest continuity or by stand maturity. Instead, site-specific characteristics, especially soil properties and canopy openness, were of major importance in shaping above- and below-ground richness. 4. For plant and springtail species composition, the effect of forest continuity was mediated by stand maturity. Thus, both plants and springtails showed a convergence in assemblage patterns with the increasing availability of overmature stand attributes. Moreover, soil and stand-scale factors were evidently more important than landscape-scale factors in shaping above- and below-ground species composition. 5. Synthesis. We clearly demonstrated that biodiversity patterns are more strongly influenced by present human-induced activities than by past human-induced activities. In the Northern Alps where our study sites were located, the colonization credit of most species has been paid off and the transient biodiversity deficit usually related to forest continuity has moved toward equilibrium. These findings emphasize the necessity to better control for local-scale factors when analyzing the response of biodiversity to forest continuity; we call for more research into the effects of forest continuity in unfragmented mountain forests.",mds,True,findable,296,29,1,1,0,2017-04-25T13:35:49.000Z,2017-04-25T13:35:51.000Z,dryad.dryad,dryad,"ancient forest,secondary succession,Community dynamics,habitat quality,mountain forest,Plantâ€“soil interactions","[{'subject': 'ancient forest'}, {'subject': 'secondary succession'}, {'subject': 'Community dynamics'}, {'subject': 'habitat quality'}, {'subject': 'mountain forest'}, {'subject': 'Plantâ€“soil interactions'}]",['59412 bytes'],
-10.5281/zenodo.5243356,Swedish DBnary archive in original Lemon format,Zenodo,2021,sv,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Swedish language edition, ranging from 7th April 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T11:50:12.000Z,2021-08-24T11:50:13.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.5281/zenodo.6526421,All-atom molecular dynamics simulations of Synechocystis halorhodopsin (SyHR),Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The trajectories of all-atom MD simulations of:<br> 1) Cl<sup>-</sup>-bound SyHR in the ground (GR) state (SyHR_monomer_GR_POPC_CHARMM36_200ns)<br> 2) Cl<sup>-</sup>-bound SyHR in the K state (SyHR_monomer_K_POPC_CHARMM36_200ns)<br> in the monomeric form in a POPC bilayer.<br> 3) SO<sub>4</sub><sup>2-</sup>-bound SyHR in the GR state (SyHR_trimer_GR_POPC_CHARMM36_500ns)<br> in the trimeric form in a POPC bilayer. Simulations have been performed using the CHARMM36 force field, running with the GROMACS 2022 package.",mds,True,findable,0,0,0,0,0,2022-05-24T19:12:49.000Z,2022-05-24T19:12:50.000Z,cern.zenodo,cern,"rhodopsin,molecular dynamics,all-atom,atomistic,GROMACS,CHARMM36,simulation","[{'subject': 'rhodopsin'}, {'subject': 'molecular dynamics'}, {'subject': 'all-atom'}, {'subject': 'atomistic'}, {'subject': 'GROMACS'}, {'subject': 'CHARMM36'}, {'subject': 'simulation'}]",,
-10.5281/zenodo.10370097,"Data from ""Elevation affects both the occurrence of ungulate browsing and its effect on tree seedling growth for four major tree species in European mountain forests""",Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"This repository contains the field data used in the paper from Bernard et al. on the interactive effect of elevation and ungulate browsing on tree regeneration. This dataset is associated with a github repository containing the code to run the analyses of the paper, publicly available at https://github.com/jbarrere3/BaccaraPaper.Â 
-Â 
-Data were collected for the Baccara project, by Elena Granda, Raquel Benavides, Sonia Rabasa, Georges Kunstler, and Marco Heurich.Â ",api,True,findable,0,0,0,0,0,2023-12-13T09:18:53.000Z,2023-12-13T09:18:54.000Z,cern.zenodo,cern,,,,
-10.5167/uzh-237519,A longitudinal study of individual difference in foreign language pronunciation development: The case of vowel production in Ecuadorian learners of English,UniversitÃ© Grenoble-Alpes,2023,,Text,,,api,True,findable,0,0,0,0,0,2023-10-25T01:07:15.000Z,2023-10-25T01:07:15.000Z,ethz.zora,kadq,,,,
-10.5281/zenodo.5835168,Ensemble statistics for modelled Eddy Kinetic Energy in the Southern Ocean,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains surface eddy kinetic energy over the Southern Ocean region, sourced from a 50-member ensemble of 0.25Â° ocean model simulations. It is used in the paper ""Circumpolar variations in the chaotic nature of Southern Ocean eddy dynamics"" published in Journal of Geophysical Research - Oceans. This dataset has been computed from the OceaniC Chaos â€“ ImPacts, strUcture, predicTability (OCCIPUT) global ocean/sea-ice ensemble simulation. It is composed of 50 members with a horizontal resolution of 1/4Â° and 75 geopotential levels (BessiÃ¨res et al., 2017, Penduff et al., 2014). The numerical configuration is based on the version 3.5 of the NEMO model (Madec, 2008). The 50 members were started on January 1st 1960 from a common 21-year spinup. A small stochastic perturbation is applied to the equation of state of sea water (as in Brankart, 2013) within each member during 1960, then switched off during the rest of the simulation. This 1-year perturbation generates an ensemble spread which grows and saturates after a few months up to a few years depending on the region. The 50 members are driven through bulk formulae during the whole 1960-2015 simulation by the same realistic 6-hourly atmospheric forcing (Drakkar Forcing Set DFS5.2, Dussin et al., 2016) derived from ERA interim atmospheric reanalysis. Data is for the period 1979-2015. The sea level anomaly is found according to Close et al (2020) and converted into surface geostrophic velocity anomaly using the geostrophic relation. This velocity field is then used to calculate the eddy kinetic energy (EKE). Data is averaged over calendar month, and restricted to the latitude range 40Â°-60Â°S. A full description of this process is included in the companion paper. The dataset includes EKE files (eke_0??.nc), with monthy EKE saved for the period 1979-2015 for each ensemble member, and a single file (tau.nc) for the monthly-averaged wind stress over the same period.",mds,True,findable,0,0,0,0,0,2022-01-11T07:44:36.000Z,2022-01-11T07:44:37.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_raman_hcn_hcn-ii,Raman band list of HCN in natural solid HCN (phase II),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman band list of HCN in natural solid HCN (phase II) at 35 and 95 K,mds,True,findable,0,0,0,0,0,2023-04-21T07:14:11.000Z,2023-04-21T07:14:12.000Z,inist.sshade,mgeg,"natural HCN - phase II,Hydrogen cyanide,Hydrogen cyanide phase II,HCN Phase II,Hydrogen cyanide,74-90-8,HCN,hydrogen bonded molecular solid,molecular solids with hydrogen bonded molecules,organic molecular solid,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural HCN - phase II', 'subjectScheme': 'name'}, {'subject': 'Hydrogen cyanide', 'subjectScheme': 'name'}, {'subject': 'Hydrogen cyanide phase II', 'subjectScheme': 'name'}, {'subject': 'HCN Phase II', 'subjectScheme': 'name'}, {'subject': 'Hydrogen cyanide', 'subjectScheme': 'IUPAC name'}, {'subject': '74-90-8', 'subjectScheme': 'CAS number'}, {'subject': 'HCN', 'subjectScheme': 'formula'}, {'subject': 'hydrogen bonded molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with hydrogen bonded molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.15778/resif.xt2018,Seismic network XT: CIFALPS-2 temporary experiment (China-Italy-France Alps seismic transect #2,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2018,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Temporary seismic array of broadband stations deployed along a transect across the northwestern Alps (France and Italy). Duration: 14-15 months. 43 stations in a 400-km long linear array, from eastern Massif Central (France) to the Ligurian coast (Italy) across the Mont Blanc and Gran Paradiso massifs; 7 km average spacing. Two additional short lines of 6 stations each 20 km to the NE and SW of the main line in the region between the cities of Aosta and Ivrea (Italy). Goal: imaging of the crust and upper mantle using earthquakes and noise records. Sensors: mostly Nanometrics Trillium Horizon, with a few Guralp CMG40T (30 or 60s). Digitizers: Nanometrics Centaur and a few Taurus.",mds,True,findable,0,0,0,3,0,2019-09-13T06:13:18.000Z,2019-09-13T06:13:18.000Z,inist.resif,vcob,"seismic tomography,lithosphere,Alpine belt,broadband seismology,crust,upper mantle,seismicity","[{'subject': 'seismic tomography'}, {'subject': 'lithosphere'}, {'subject': 'Alpine belt'}, {'subject': 'broadband seismology'}, {'subject': 'crust'}, {'subject': 'upper mantle'}, {'subject': 'seismicity'}]","['55 stations, 711 Gb']","['Miniseed data data', 'stationXML metadata']"
-10.7280/d1r085,"Impact of calving dynamics on Kangilernata Sermia, Greenland",Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Iceberg calving is a major component of glacier mass ablation that is not well understood due to a lack of detailed temporal and spatial observations. Here, we measure glacier speed and surface elevation at 3-minute interval, 5 meter spacing, using a portable radar interferometer at Kangilernata Sermia, Greenland in July 2016. We detect a 20% diurnal variation in glacier speed peaking at high spring tide when basal drag is high and lowering at neap tide. We find no speed up from ice shedding off the calving face or the detachment of floating ice blocks, but observe a 30% speedup that persist for weeks when calving removes grounded ice blocks. Within one ice thickness from the calving front, we detect strain rates 2 to 3 times larger than observable from satellite data, which has implications for studying calving processes.",mds,True,findable,180,31,0,0,0,2020-02-05T17:55:12.000Z,2020-02-05T17:55:13.000Z,dryad.dryad,dryad,"Interferometry,Glaciology,Iceberg,Radar remote sensing","[{'subject': 'Interferometry'}, {'subject': 'Glaciology', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Iceberg'}, {'subject': 'Radar remote sensing'}]",['12310648668 bytes'],
-10.15778/resif.6f2021,Dense nodal seismic array temporary experiment in order to better understand the the functioning of karst aquifers and assess their response to flash floods (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2021,,Dataset,,This experiment consists in the deployment of about 60 nodes over a catchment basin in the Jura during 4 months. Seismic recordings will be analyzed together with hydrogeological and atmospheric data recorded on the aquifer. The objective is to better understand the functioning of karstic systems submitted to extreme meteorological events.,fabrica,True,findable,0,0,0,0,0,2023-09-19T09:14:09.000Z,2023-09-19T09:15:13.000Z,inist.resif,vcob,"Passive seismic monitoring,Hydrogeology,Karst","[{'subject': 'Passive seismic monitoring'}, {'subject': 'Hydrogeology'}, {'subject': 'Karst'}]","['60 stations, 810Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.5281/zenodo.8272736,"Data supplement for ""Molecular motors enhance microtubule lattice plasticity"" Lecompte, William; John, Karin",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the data and source files for figures 2 (a-e), 3(a-d), 4(b,c,e) and Supplementary figures 5, 7(a-e), 8 and 9(a-c) in the following publication: W. Lecompte and K. John ""Molecular motors enhance microtubule lattice plasticity"" published in 2023 in PRX Life (ArXiv https://arxiv.org/abs/2209.09161) Please follow the instructions given in 'Readme.txt'.",mds,True,findable,0,0,0,0,0,2023-08-22T10:58:26.000Z,2023-08-22T10:58:27.000Z,cern.zenodo,cern,"microtubuli, processive molecular motors, lattice dynamics, modelling","[{'subject': 'microtubuli, processive molecular motors, lattice dynamics, modelling'}]",,
-10.26302/sshade/experiment_op_20191119_001,Vis-NIR bidirectional reflection spectra of several ammonium salts mixed with pyrrhotite grains in sublimate residues at 173 K,SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Dry mixtures (called ""sublimate residues"") of sub-micrometer size opaque pyrrhotite (Fe1-xS) grains with ammonium (NH4+) salts (chloride, sulfate, formate, carbamate, citrate) were prepared by sublimation of ice-dust mixtures. Reflectance spectra (from 0.4 to 4 Âµm) of these mixtures were measured at 173 K under high vacuum (pressure lower than 10^-5 mbar).",mds,True,findable,0,0,0,1,0,2020-02-12T11:12:51.000Z,2020-02-12T11:12:52.000Z,inist.sshade,mgeg,"natural terrestrial,sulfide,Pyrrhotite provided by Museum National d'Histoire Naturelle, Paris, France,commercial,chloride,Ammonium chloride,sulfate,Ammonium sulfate,Pyrrhotite from Alfa Aesar (ref. 042652),organic salt,Ammonium formate,Ammonium carbamate,Ammonium citrate dibasic,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'natural terrestrial'}, {'subject': 'sulfide'}, {'subject': ""Pyrrhotite provided by Museum National d'Histoire Naturelle, Paris, France""}, {'subject': 'commercial'}, {'subject': 'chloride'}, {'subject': 'Ammonium chloride'}, {'subject': 'sulfate'}, {'subject': 'Ammonium sulfate'}, {'subject': 'Pyrrhotite from Alfa Aesar (ref. 042652)'}, {'subject': 'organic salt'}, {'subject': 'Ammonium formate'}, {'subject': 'Ammonium carbamate'}, {'subject': 'Ammonium citrate dibasic'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['8 spectra'],['ASCII']
-10.5281/zenodo.10276253,3D roughness computation from XCT data - Data and Python & ImageJ implementations,Zenodo,2023,en,ComputationalNotebook,CeCILL Free Software License Agreement v2.1,"Data provided in supplement of the research article ""A methodology for the 3D characterization of surfaces using X-ray computed tomography: application to additively manufactured parts"", F.Steinhilber, J.Lachambre, D.CÅ“urjolly, J.Y.BuffiÃ¨re, G.Martin, R.Dendievel.
-Â 
-It contains 3 folders:
-- ""data"": a dataset used to present the roughness computation methodology in the article (= the XCT scan of a 2 mm cylinder fabricated by Electron Powder Bed Fusion, with a voxel size of 5 Âµm). The results of the roughness computation are also provided in this folder.
-- ""Python"": the Python implementation of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
-- ""ImageJ"": the ImageJ implementation (simple macro) of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
-Â 
-Each folder contains a README file that further details the different files provided.",api,True,findable,0,0,0,0,0,2023-12-06T09:53:00.000Z,2023-12-06T09:53:00.000Z,cern.zenodo,cern,"Surface roughness,X-ray Computed Tomography,Python,ImageJ,3D","[{'subject': 'Surface roughness'}, {'subject': 'X-ray Computed Tomography'}, {'subject': 'Python'}, {'subject': 'ImageJ'}, {'subject': '3D'}]",,
-10.5281/zenodo.4581363,Pycewise,Zenodo,2021,,Software,"MIT License,Open Access",Python module to compute a segmented linear regression.,mds,True,findable,0,0,1,0,0,2021-03-04T15:52:53.000Z,2021-03-04T15:52:55.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4764317,Data from: Phylogenomic analysis of the explosive adaptive radiation of the Espeletia complex (Asteraceae) in the tropical Andes,Zenodo,2021,,Other,"Creative Commons Attribution 4.0 International,Open Access","The subtribe Espeletiinae (Asteraceae) is endemic to the high-elevations in the Northern Andes. It exhibits an exceptional diversity of species, growth-forms and reproductive strategies, including large trees, dichotomous trees, shrubs and the extraordinary giant monocarpic or polycarpic caulescent rosettes, considered as a classic example of adaptation in tropical high-elevation ecosystems. The subtribe has long been recognised as a prominent case of adaptive radiation, but the understanding of its evolution has been hampered by a lack of phylogenetic resolution. Here we produce the first fully resolved phylogeny of all morphological groups of Espeletiinae, using whole plastomes and about a million nuclear nucleotides obtained with an original de novo assembly procedure without reference genome, and analysed with traditional and coalescent-based approaches that consider the possible impact of incomplete lineage sorting and hybridisation on phylogenetic inference. We show that the diversification of Espeletiinae started from a rosette ancestor about 2.3 Ma, after the final uplift of the Northern Andes. This was followed by two rather independent radiations in the Colombian and Venezuelan Andes, with a few trans-cordilleran dispersal events among low-elevation tree lineages but none among high-elevation rosettes. We demonstrate complex scenarios of morphological change in Espeletiinae, usually implying the convergent evolution of growth-forms with frequent loss/gains of various traits. For instance, caulescent rosettes evolved independently in both countries, likely as convergent adaptations to life in tropical high-elevation habitats. Tree growth-forms evolved independently three times from the repeated colonisation of lower elevations by high-elevation rosette ancestors. The rate of morphological diversification increased during the early phase of the radiation, after which it decreased steadily towards the present. On the other hand, the rate of species diversification in the best-sampled Venezuelan radiation was on average very high (3.1 spp/My), with significant rate variation among growth-forms (much higher in polycarpic caulescent rosettes). Our results point out a scenario where both adaptive morphological evolution and geographical isolation due to Pleistocene climatic oscillations triggered an exceptionally rapid radiation for a continental plant group.",mds,True,findable,0,0,0,1,0,2021-05-21T04:38:47.000Z,2021-05-21T04:38:49.000Z,cern.zenodo,cern,"Espeletiinae,caulescent rosette,PÃ¡ramo,tropical high-elevation,explosive diversification","[{'subject': 'Espeletiinae'}, {'subject': 'caulescent rosette'}, {'subject': 'PÃ¡ramo'}, {'subject': 'tropical high-elevation'}, {'subject': 'explosive diversification'}]",,
-10.26302/sshade/experiment_kd_20170823,"Mass absorption coefficient spectra (cm2/g) of amorphous silicate Mg(1-x)Fe(x).SiO3, x=0.1, 0.2, 0.3 and 0.4, processed samples, at 10 to 300 K in the 5 - 1000 Âµm range",SSHADE/STOPCODA (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mass absorption coefficient spectra (cm2/g) of amorphous silicate $Mg_{(1-x)}Fe_x.SiO_3$, x=0.1, 0.2, 0.3 and 0.4, processed samples, at 10 to 300 K in the 5 - 1000 Âµm range (MIR to sub-mm)",mds,True,findable,0,0,0,0,0,2019-11-01T08:26:54.000Z,2019-11-01T08:26:54.000Z,inist.sshade,mgeg,"solid,laboratory,non-oxide ceramic,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1,commercial,homopolymer,Polyethylene HDPE,bromide,Potassium bromide KBr,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.2,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.3,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.4,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,sub-mm,Sub-millimeter,absorption coefficient","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'non-oxide ceramic'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1'}, {'subject': 'commercial'}, {'subject': 'homopolymer'}, {'subject': 'Polyethylene HDPE'}, {'subject': 'bromide'}, {'subject': 'Potassium bromide KBr'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.2'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.3'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.4'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'sub-mm'}, {'subject': 'Sub-millimeter'}, {'subject': 'absorption coefficient'}]",['20 spectra'],['ASCII']
-10.6084/m9.figshare.16851159,Additional file 9 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 9: Fig. S5. Pro-invasive signaling pathways in HeLa clones. A, B) Mutant NDPK-D cells were tested for their ability to invade native type I collagen in the presence of pharmacological inhibitors of the PI3K (GSK2126458), Src (MA475271), p38 (SB203580), JNK (SP600125) signaling pathways (A), and epidermal growth factor receptor (EGFR) (lapatinib) (B), all at two different concentrations (1 and 10â€‰Î¼M). C, D) Activation of the EGFR signaling pathway after 10â€‰nM EGF stimulation analyzed by immunoblotting with phospho-specific and total protein antibodies as indicated, with Î±-tubulin as loading control; (C) clones CTR, WT, BD; (D) clones CTR, WT, KD. Note: Activation of the EGF pathway is seen by phosphorylation of EGFR (at Tyr1080, activatory), ERK1/2, AKT, and GSK3Î² (at Ser9, inhibitory). $$p&lt;â€‰0.01 and $$$p&lt;â€‰0.005. For clone abbreviations see Fig. 1.",mds,True,findable,0,0,93,1,0,2021-10-22T04:08:25.000Z,2021-10-22T04:08:27.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['6708752 Bytes'],
-10.5281/zenodo.8392608,CSF22,Zenodo,2023,fr,Dataset,Restricted Access,"1087 French sentences cued by a professional French Cuer with typical hearing
-
-
-CSF22
-
-
-- video aspects 1920x1020, 30-60 fps
-
-
-- audio/ aspects â€† 44.1 kHz
-
-
-|---â†’CSF22_test
-
-
-Â  Â  Â  Â  |---â†’test_labels: 108 csv files
-
-
-Â  Â  Â  Â  |---â†’test_videos: 108 webm files
-
-
-|---â†’CSF22_train
-
-
-Â  Â  Â  Â  |---â†’train_labels: 949 csv files
-
-
-Â  Â  Â  Â  |---â†’train_videos: 949 webm files
-
-
-|---â†’ phonelist.csv: list of the 36 labels used (including start and end tokens) to encode French phonemes at GIPSA-lab.
-
-
-|---â†’ prompts.csv: Text prompt of the recorded sentences",mds,True,findable,0,0,0,0,0,2023-09-29T14:15:23.000Z,2023-09-29T14:15:24.000Z,cern.zenodo,cern,"Cued Speech, French, LFPC,","[{'subject': 'Cued Speech, French, LFPC,'}]",,
-10.5281/zenodo.10341148,Chamois-CompCert with security features described in Monniaux / CPP 2024,Zenodo,2023,en,Software,INRIA Non-Commercial License Agreement,,api,True,findable,0,0,0,0,0,2023-12-10T18:08:44.000Z,2023-12-10T18:08:44.000Z,cern.zenodo,cern,"formally-verified compiler,Coq,software security,canaries,pointer authentication,CompCert,buffer overflow,tail-recursion elimination,compiler optimizations","[{'subject': 'formally-verified compiler'}, {'subject': 'Coq'}, {'subject': 'software security'}, {'subject': 'canaries'}, {'subject': 'pointer authentication'}, {'subject': 'CompCert'}, {'subject': 'buffer overflow'}, {'subject': 'tail-recursion elimination'}, {'subject': 'compiler optimizations'}]",,
-10.7280/d1wt11,Glacier catchments/basins for the Greenland Ice Sheet,Dryad,2019,en,Dataset,Creative Commons Attribution 4.0 International,"We divide Greenland, including its peripheral glaciers and ice caps, into 260 basins grouped in seven regions: southwest (SW), central west (CW), (iii) northwest (NW), north (NO), northeast (NE), central east (CE), and southeast (SE). These regions are selected based on ice flow regimes, climate, and the need to partition the ice sheet into zones comparable in size (200,000 km2 to 400,000 km2) and ice production (50 Gt/y to 100 Gt/y, or billion tons per year). Out of the 260 surveyed glaciers, 217 are marine-terminating, i.e., calving into icebergs and melting in contact with ocean waters, and 43 are land-terminating.The actual number of land-terminating glaciers is far larger than 43, but we lump them into larger units for simplification. Each glacier catchment is defined using a combination of ice flow direction and surface slope. In areas of fast flow (&gt; 100 m), we use a composite velocity mosaic (Mouginot et al. 2017). In slowmoving areas, we use surface slope using the GIMP DEM (https://nsidc.org/data/nsidc- 0715/versions/1) (Howat et al. 2014) smoothed over 10 ice thicknesses to remove shortwavelength undulations. References: Mouginot J, Rignot E, Scheuchl B, Millan R (2017) Comprehensive annual ice sheet velocity mapping using landsat-8, sentinel-1, and radarsat-2 data. Remote Sensing 9(4). Howat IM, Negrete A, Smith BE (2014) The greenland ice mapping project (gimp) land classification and surface elevation data sets. The Cryosphere 8(4):1509â€“1518.",mds,True,findable,2300,307,0,11,0,2019-03-29T12:53:11.000Z,2019-03-29T12:53:12.000Z,dryad.dryad,dryad,,,['4137543 bytes'],
-10.26302/sshade/experiment_zed_20220831_001,Vis-NIR BRDF spectra of serpentine pellets irradiated by Ar+ and He+.,SSHADE/DAYSY (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Vis-NIR (0.4 - 4 Âµm) BRDF spectra of Rawhide serpentine pellet non-irradiated and irradiated by Ar+ and He+,mds,True,findable,0,0,0,0,0,2022-09-21T08:52:46.000Z,2022-09-21T08:52:47.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,Serpentine Rawhide,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Serpentine Rawhide'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['3 spectra'],['ASCII']
-10.26302/sshade/bandlist_raman_aragonite,Raman bandlist of natural Aragonite,SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",FIR-MIR Raman bandlist of natural Aragonite at 295K and 80K,mds,True,findable,0,0,0,0,0,2023-04-22T06:33:40.000Z,2023-04-22T06:33:40.000Z,inist.sshade,mgeg,"Aragonite,Calcium cation,Carbonate anion,Calcium(2+) cation,14127-61-8,Ca2+,(CO3)2-,CaCO3,Aragonite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Aragonite group (Orthorhombic: Pmcn),14.01.03.01,05.AB.15,Raman scattering,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Aragonite', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'CaCO3', 'subjectScheme': 'formula'}, {'subject': 'Aragonite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Aragonite group (Orthorhombic: Pmcn)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.03.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.15', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.17178/emaa_meta-nd3_hyperfine_b3e9eff8,Hyperfine excitation of meta-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",7 hyperfine energy levels / 9 radiative transitions / 15 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:11.000Z,2021-11-17T14:01:13.000Z,inist.osug,jbru,"target meta-ND3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target meta-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.15778/resif.xk2007,Seismic network XK:LAPNET/POLENET seismic temporary array (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2007,en,Other,"Open Access,Creative Commons Attribution 4.0 International","Deep structure of the crust and upper mantle of the northern, mainly Archaean part of the Fennoscandian shield, is poorly known, as the number of permanent seismic stations and controlled-source seismic profiles there has been always significantly lower compared to its southwestern part. However, even these rare studies showed that the upper mantle there is heterogeneous and seismically anisotropic. In order improve this knowledge, a temporary seismic array was installed in May 2007, and operated until September 2009. The array was a part of POLENET multidisciplinary project during the InternationalPolar Year. The research aims to obtain a 3D seismic model of the crust and upper mantle down to 670 km (P- and S-wave velocity models, position of major boundaries in the crust and upper mantle and estimates of seismic anisotropy strength and orientation) in northern Fennoscandian Shield. An important part of the LAPNET project is study of regional and local seismic events. In northern Fennoscandia, local seismic events are quarry blasts and weak earthquakes originating from re-activated ancient fault zones. These events can be used to create a 3-D velocity model of the crust, which is a necessary constraint in all studies using waves from teleseismic events. We present the first results of LAPNET seismic array research. The POLENET/LAPNET array was in operation from 01.05.2008 to 31.09.2009.The array consisted of 36 temporary stations deployed in northern Finland, Finnmark area of Norway and northern Karelia (Russia) and seismic stations of several permanent networks in Finland, Sweden and Norway. The POLENET/LAPNET data set includes: 1) Continuous data of selected permanent seismic networks in the territory of northern Fennoscandia that have the status of the DATA USED BY the IPY: a) Northern Finland Seismological Network (stations: OUL,SGF,MSF,RNF) b) Helsinki University Seismic Network (Finland) (stations: KU6,VRF,HEF,KEV,KIF) c) Swedish National Seismological Network (stations: KUR,NIK,MAS,DUN,LAN,PAJ,ERT,SAL,KAL,HAR) d) station ARC0 (NORSAR, Norway) e) Station KTK of the University of Bergen (Norway). Continuous data from these stations is not all available from the European seismic data centre ORFEUS, but will be specifically prepared for distribution in association with the LAPNET/POLENET experiment. 2) Continuous data of temporary seismic array installed on the territory of northern Finland, northwestern Russia and Finnmark area of Norway.",mds,True,findable,0,0,0,6,0,2015-10-05T10:39:07.000Z,2015-10-05T10:39:07.000Z,inist.resif,vcob,"Terrestrial seismic network,Baltic Shield,Craton,Lithosphere and Asthenosphere,Upper and lower mantle tomography,Seismic anisotropy and mantle flow,Body and surface wave seismology,Noise correlation","[{'subject': 'Terrestrial seismic network'}, {'subject': 'Baltic Shield'}, {'subject': 'Craton'}, {'subject': 'Lithosphere and Asthenosphere'}, {'subject': 'Upper and lower mantle tomography'}, {'subject': 'Seismic anisotropy and mantle flow'}, {'subject': 'Body and surface wave seismology'}, {'subject': 'Noise correlation'}]",,
-10.5281/zenodo.10523321,Supplementary data to Frasson et al. 2023,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"Supplementary data for Frasson et al. 2023 submitted to Solid Earth. The data consist of full snapshots of the geoids, topography, CMB heat flux, and composition at the CMB for the six cases of the study; the PCA outputs for the six cases; and movies showing the time evolutions of the outputs in the mantle convection models.
-
-Â 
-
-The full snapshots are given in HDF5 format, with one file per time step. They can be found in the archives MF.zip and MC.zip for the MF model and the MC model respectively. The files contain:
-
-
-
-The fields in the physical space. The first coordinate is the latitude, the second coordinate is the longitude (dataset ""data"").
-
-The latitudes and longitudes associated with the fields (datasets ""latitude"" and ""longitude"").
-
-Some information regarding the snapshots (attributes ""Time (Myr)"", ""Model"", ""Case"", ""Correction"", and ""Unit"").
-
-
-The files are called ""name_xxxx.h5"", where xxxx stands for the time in Myr before the end of the simulation.The names of the files are:
-
-
-
-qcmb: CMB heat flux
-
-geoid: Total geoid
-
-geoid_nolvv: No LVVs geoid
-
-topo: Topography
-
-prim: Composition at the CMB
-
-
-Â 
-
-The PCA outputs are given in HDF5 format. Each file has an ""outputs"" and a ""grid"" group. The ""outputs"" section gives:
-
-
-
-The average heat flux pattern. The first coordinate is the latitude, the second coordinate is the longitude (dataset ""average"").
-
-The list of patterns for each PCA component in physical space. The first coordinate is the latitude, the second coordinate is the longitude (dataset ""pattern"").
-
-The time-dependent weight of the components. The first coordinate is the time, the second coordinate is the component number (dataset ""weights"").
-
-The singular values of the componentsÂ  (dataset ""singular values"").
-
-The time in Myr (dataset ""Time"").
-
-The component numbers (dataset ""components"").
-
-
-The ""grid"" group gives the latitudes (dataset ""latitude"") and the longitudes (dataset ""longitude"") associated with the patterns.
-
-Â 
-
-Description of the movies:
-
-
-
-outputs_MF: As in Fig. 2 in Frasson et al. 2023.
-
-outputs_MC: As in Fig. 3 in Frasson et al. 2023.
-
-qcmb_MF: CMB heat flux in cases MF0, MF1, MF2, and MF* in a Mollweide projection. Black lines delineate the edges of basal chemical piles.
-
-qcmb_MC: CMB heat flux in cases MC0 and MC1 in a Mollweide projection. Black lines delineate the edges of basal chemical piles.",api,True,findable,0,0,0,0,0,2024-01-18T13:41:42.000Z,2024-01-18T13:41:42.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7495559,Acetaldehyde binding energies: a coupled experimental and theoretical study,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",CRYSTAL17 output files of the atomic structures used in the related publication,mds,True,findable,0,0,0,0,0,2022-12-30T20:34:37.000Z,2022-12-30T20:34:37.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_dt_20161207_001,Fe K edge XAS fluorescence of iron ferrous solution in hydrothermal conditions at 500bars and between 25 and 450Â°C,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Chloride molality varying from 0.5 and 12 m; temperature varying from 25 to 450 Â°C,mds,True,findable,0,0,0,0,0,2019-11-14T22:20:45.000Z,2019-11-14T22:20:46.000Z,inist.sshade,mgeg,"laboratory,liquid solution,Iron ferrous solution in hydrothermal conditions: Fe2+ 0.045m, HCl 0.1m, Na 0.356m, Cl 0.547m,Iron ferrous solution in hydrothermal conditions: Fe2+ 0.044m, HCl 0.1m, Na 0.744m, Cl 0.932m,Iron ferrous solution in hydrothermal conditions: 0.046m, HCl 0.1m, Na 1.901m, Cl 2.092m,Iron ferrous solution in hydrothermal conditions: 0.056m, HCl 0.1m, Na 2.813m, Cl 3.024m,Iron ferrous solution in hydrothermal conditions: Fe2+ 0.065m, HCl 0.1m, Na 4.825m, Cl 5.055m,Iron ferrous solution in hydrothermal conditions: 0.075m, HCl 0.1m, Li 11.825m, Cl 12.031m,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'liquid solution'}, {'subject': 'Iron ferrous solution in hydrothermal conditions: Fe2+ 0.045m, HCl 0.1m, Na 0.356m, Cl 0.547m'}, {'subject': 'Iron ferrous solution in hydrothermal conditions: Fe2+ 0.044m, HCl 0.1m, Na 0.744m, Cl 0.932m'}, {'subject': 'Iron ferrous solution in hydrothermal conditions: 0.046m, HCl 0.1m, Na 1.901m, Cl 2.092m'}, {'subject': 'Iron ferrous solution in hydrothermal conditions: 0.056m, HCl 0.1m, Na 2.813m, Cl 3.024m'}, {'subject': 'Iron ferrous solution in hydrothermal conditions: Fe2+ 0.065m, HCl 0.1m, Na 4.825m, Cl 5.055m'}, {'subject': 'Iron ferrous solution in hydrothermal conditions: 0.075m, HCl 0.1m, Li 11.825m, Cl 12.031m'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['36 spectra'],['ASCII']
-10.5061/dryad.t8534,Data from: Long-lasting modification of soil fungal diversity associated with the introduction of rabbits to a remote sub-Antarctic archipelago,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"During the late nineteenth century, Europeans introduced rabbits to many of the sub-Antarctic islands, environments that prior to this had been devoid of mammalian herbivores. The impacts of rabbits on indigenous ecosystems are well studied; notably, they cause dramatic changes in plant communities and promote soil erosion. However, the responses of fungal communities to such biotic disturbances remain unexplored. We used metabarcoding of soil extracellular DNA to assess the diversity of plant and fungal communities at sites on the sub-Antarctic Kerguelen Islands with contrasting histories of disturbance by rabbits. Our results suggest that on these islands, the simplification of plant communities and increased erosion resulting from the introduction of rabbits have driven compositional changes, including diversity reductions, in indigenous soil fungal communities. Moreover, there is no indication of recovery at sites from which rabbits were removed 20 years ago. These results imply that introduced herbivores have long-lasting and multifaceted effects on fungal biodiversity as well as highlight the low resiliency of sub-Antarctic ecosystems.",mds,True,findable,363,58,1,1,0,2015-07-28T13:41:40.000Z,2015-07-28T13:41:41.000Z,dryad.dryad,dryad,"Embryophyta,Soil communities","[{'subject': 'Embryophyta'}, {'subject': 'Soil communities'}]",['18033276 bytes'],
-10.26302/sshade/experiment_zy_20180214_000,VIS-NIR reflectance spectra of binary mixtures of coarse-grained crushed CO2 ice particles (400-800 Âµm) and spherical fine-grained water ice particles (4.5 Âµm average diameter),SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Particulate CO2 ice produced by crushing a piece of compact CO2 ice and sieving the powder to the 400-800 Âµm range is mixed with variable amounts of fine-grained water ice (type SPIPA-A, 4.5 Âµm average) and the reflectance measured. Vis multispectral + NIR low resolution and Vis-NIR high resolution spectra.",mds,True,findable,0,0,0,0,0,2023-04-28T13:49:49.000Z,2023-04-28T13:49:50.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,solid CO2,water ice,solid,laboratory,inorganic molecular solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'reflectance factor', 'subjectScheme': 'var'}, {'subject': 'solid CO2', 'subjectScheme': 'name'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}]",['8 spectra'],['ASCII']
-10.6084/m9.figshare.c.6797383,Determination of different social groupsâ€™ level of knowledge about malaria in a multicultural Amazonian cross-border context,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background A steady decline in the number of cases of malaria was observed in the 2000s in French Guiana. This enabled regional health policies to shift their public health goal from control to elimination. To include inhabitants in this strategy, the main objective of this study was to describe knowledge about malaria, and related attitudes and practices in persons living in the French Guiana border. Methods We conducted a survey in people over 15 years old living in the twelve neighbourhoods of Saint-Georges de lâ€™Oyapock with the highest malaria incidence. It comprised a 147-item questionnaire which collected data on socio-demographic characteristics and included a Knowledge Attitude and Practices survey on malaria. Knowledge-related data were studied using exploratory statistical methods to derive summary variables. A binary variable assessing level of knowledge was proposed and then assessed using exploratory approaches. Results The mean age of the 844 participants was 37.2 years [15.8], the male/female sex ratio was 0.8. In terms of nationality, 485 (57.5%) participants were Brazilian and 352 (41.7%) French. One third (305, 36.1%) spoke Brazilian Portuguese as their native language, 295 (34.9%) the Amerindian language Palikur, 36 (4.3%) French. The symptoms of malaria and prevention means were poorly known by 213 (25.2%) and 378 (44.8%) respondents, respectively. A quarter (206, 24.4%) did not know that malaria can be fatal. Overall, 251 people (29.7%) had an overall poor level of knowledge about malaria. Being under 25 years old, living in a native Amerindian neighbourhood, having an Amerindian mother tongue language, having risk behaviours related to gold mining were significantly associated with a poor level of knowledge. Conclusions This study is the first to describe the poor level of knowledge about malaria in populations living in the malaria endemic border area along the Oyapock river in French Guiana. Results will allow to reinforce, to diversify and to culturally adapt prevention messages and health promotion to increase their effectiveness with a view to quickly reaching the goal of malaria elimination through empowerment.",mds,True,findable,0,0,0,0,0,2023-08-20T03:11:04.000Z,2023-08-20T03:11:04.000Z,figshare.ars,otjm,"Biological Sciences not elsewhere classified,Science Policy","[{'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}]",,
-10.5281/zenodo.4304466,pyirf,Zenodo,2020,,Software,"MIT License,Open Access",<em>pyirf</em> is a prototype for the generation of Instrument Response Functions (IRFs) for the Cherenkov Telescope Array (CTA). The package is being developed and tested by members of the CTA consortium. Documentation: https://cta-observatory.github.io/pyirf/ Source code: https://github.com/cta-observatory/pyirf,mds,True,findable,0,0,0,0,0,2020-12-03T14:55:40.000Z,2020-12-03T14:55:40.000Z,cern.zenodo,cern,"gamma-ray astronomy,cherenkov telescopes,CTA,instrument response,IRF,python","[{'subject': 'gamma-ray astronomy'}, {'subject': 'cherenkov telescopes'}, {'subject': 'CTA'}, {'subject': 'instrument response'}, {'subject': 'IRF'}, {'subject': 'python'}]",,
-10.26302/sshade/experiment_cl_20181202_02,Ion irradiation ($He^+$) of a LancÃ© meteorite pellet probed by NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR spectra of LancÃ© meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T17:01:51.000Z,2022-05-27T17:01:52.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CO,complex organic-mineral mix,matrix LancÃ©,complex mineral mix,chondrules LancÃ©,CAIs LancÃ©,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CO'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix LancÃ©'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules LancÃ©'}, {'subject': 'CAIs LancÃ©'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.5281/zenodo.7628236,Raw sequencing data for studying the colonization of soil communities after glacier retreat,Zenodo,2022,,Dataset,Creative Commons Attribution 4.0 International,"Glaciers show a pattern of retreat at the global scale. Deglaciated areas are exposed and colonized by multiple organisms, but lack of global studies hampers a complete understanding of the future of these ecosystems. Until now, the complete reconstruction of soil communities was hampered by the complex identification of organisms, thus analyses at broad geographical and taxonomic scale have been so far impossible. The dataset used for this study represents the assemblages of Bacteria, Mycota, Eukaryota, Collembola (springtails), Oligochaeta (Earth worms), Insecta, Arthropoda and Vascular Plants obtained using environmental DNA (eDNA) metabarcoding.Â eDNA was extracted from soil samples collected from multiple glacier forelands representative of some of the main mountain chains of Europe, Asia, the Americas and Oceania. We investigated chronosequences of glacier retreat (i.e., the chronological sequence of specific geomorphological features along deglaciated areas for which the date of glacier retreat is known) ranging from recent years to the Little Ice Age (~1850).Â We used this newly assembled global DNA metabarcoding dataset to obtain a complete reconstruction of community changes in novel ecosystems after glacier retreat. Information on assemblages can be then combined with analyses of soil, landscape and climate to identify the drivers of community changes.",api,True,findable,0,0,0,0,0,2023-11-06T10:49:09.000Z,2023-11-06T10:49:09.000Z,cern.zenodo,cern,"environmental DNA (eDNA),Illumina sequencing,Fungi,Eukaryota,Bacteria,Collembola,Insecta,Oligochaeta,Spermatophyta,Vascular plants,Springtails,Earthworms,Glacier retreat,Deglaciated terrains","[{'subject': 'environmental DNA (eDNA)'}, {'subject': 'Illumina sequencing'}, {'subject': 'Fungi'}, {'subject': 'Eukaryota'}, {'subject': 'Bacteria'}, {'subject': 'Collembola'}, {'subject': 'Insecta'}, {'subject': 'Oligochaeta'}, {'subject': 'Spermatophyta'}, {'subject': 'Vascular plants'}, {'subject': 'Springtails'}, {'subject': 'Earthworms'}, {'subject': 'Glacier retreat'}, {'subject': 'Deglaciated terrains'}]",,
-10.5061/dryad.f7h12,Data from: Poor adherence to guidelines for preventing central line-associated bloodstream infections (CLABSI): results of a worldwide survey,Dryad,2017,en,Dataset,Creative Commons Zero v1.0 Universal,"Background: Central line-associated bloodstream infections (CLABSI) are a cause of increased morbidity and mortality, and are largely preventable. We documented attitudes and practices in intensive care units (ICUs) in 2015 in order to assess compliance with CLABSI prevention guidelines. Methods: Between June and October 2015, an online questionnaire was made available to medical doctors and nurses working in ICUs worldwide. We investigated practices related to central line (CL) insertion, maintenance and measurement of CLABSI-related data following the SHEA guidelines as a standard. We computed weighted estimates for high, middle and low-income countries using country population as a weight. Only countries providing at least 10 complete responses were included in these estimates. Results: Ninety five countries provided 3407 individual responses; no low income, 14 middle income (MIC) and 27 high income (HIC) countries provided 10 or more responses. Of the total respondents, 80% (MIC, SE = 1.5) and 81% (HIC, SE = 1.0) reported availability of written clinical guidelines for CLABSI prevention in their ICU; 23% (MIC,SE = 1.7) and 62% (HIC,SE = 1.4) reported compliance to the following (combined) recommendations for CL insertion: hand hygiene, full barrier precaution, chlorhexidine &gt;0.5%, no topic or systemic antimicrobial prophylaxis; 60% (MIC,SE = 2.0) and 73% (HIC,SE = 1.2) reported daily assessment for the need of a central line. Most considered CLABSI measurement key to quality improvement, however few were able to report their CLABSI rate. Heterogeneity between countries was high and country specific results are made available. Conclusions: This study has identified areas for improvement in CLABSI prevention practices linked to CL insertion and maintenance. Priorities for intervention differ between countries.",mds,True,findable,426,97,1,1,0,2016-10-31T16:48:38.000Z,2016-10-31T16:48:39.000Z,dryad.dryad,dryad,"central line-associated bloodstream infection,healthcare associated infection,intensive care","[{'subject': 'central line-associated bloodstream infection'}, {'subject': 'healthcare associated infection'}, {'subject': 'intensive care'}]",['2869151 bytes'],
-10.5281/zenodo.10688119,Dataset related to article: Equivariant graph neural network interatomic potential for Green-Kubo thermal conductivity in phase change materials,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,This repository contains the dataset to train and test the GeTe Machine Learning Interatomic Potential (MLIP). Â The computational details are given in the manuscript.Â Â ,api,True,findable,0,0,0,0,1,2024-02-21T14:23:00.000Z,2024-02-21T14:23:01.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8223563,InGaN/GaN QWs on Si,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Dataset for the project of high TD density QWs grown on Si, published here.
-The different sub-datasets are named after:
-
-the measurement technique, from [ Atomic Force Microscopy (AFM) ; Cathodoluminescence (CL) mapping ; Power-dependent photoluminescence (PL) series (P-series) ; Scanning Electron Micrographs (SEM) ; Temperature-dependent P-series (T-P-series) ; Transmission Electron Microscopy (TEM) ; Time-resolved PL (TRPL) ];
-the sample name, from [ R = A4286 ; U = A4287 ; V = A4289 ].
-Further relevant information can be found in the .zip folders, in README files.",mds,True,findable,0,0,0,0,0,2023-09-18T19:41:32.000Z,2023-09-18T19:41:33.000Z,cern.zenodo,cern,,,,
-10.57745/52ht2l,BERGER-SPAZM,Recherche Data Gouv,2022,,Dataset,,Simulations hydrologiques du bassin de l'Arvan rÃ©alisÃ©es avec le modÃ¨le hydrologique semi-distribuÃ© J2000 et les forÃ§ages atmosphÃ©riques SPAZM. Pour le maillage du modÃ¨le hydrologique se rÃ©fÃ©rer au dÃ©pot : https://doi.org/10.57745/RZ1LWK,mds,True,findable,67,2,0,0,0,2022-09-10T09:31:06.000Z,2022-09-10T09:32:26.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.3725791,Dataset - Learning to Measure Static Friction Coefficient in Cloth Contact,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Dataset for: Learning to Measure the Static Friction Coefficient in Cloth Contact,mds,True,findable,0,0,1,0,0,2020-03-28T15:08:16.000Z,2020-03-28T15:08:16.000Z,cern.zenodo,cern,"Machine Learning,Friction Estimation","[{'subject': 'Machine Learning'}, {'subject': 'Friction Estimation'}]",,
-10.6084/m9.figshare.22807641,Additional file 2 of Phenotype and imaging features associated with APP duplications,figshare,2023,,Image,Creative Commons Attribution 4.0 International,Additional file 2: Supp Figure 2. MRI scans of three patients from the BES_262 family showing the large heterogeneity of cerebral imaging. A: MRI of 262-001; B: MRI of 262-003; C: MRI of 262-004.,mds,True,findable,0,0,0,0,0,2023-05-12T03:40:50.000Z,2023-05-12T03:40:51.000Z,figshare.ars,otjm,"Biochemistry,Medicine,Cell Biology,Neuroscience,Science Policy","[{'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Science Policy'}]",['779176 Bytes'],
-10.6084/m9.figshare.c.7046484,The methodology of quantitative risk assessment studies,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Once an external factor has been deemed likely to influence human health and a dose response function is available, an assessment of its health impact or that of policies aimed at influencing this and possibly other factors in a specific population can be obtained through a quantitative risk assessment, or health impact assessment (HIA) study. The health impact is usually expressed as a number of disease cases or disability-adjusted life-years (DALYs) attributable to or expected from the exposure or policy. We review the methodology of quantitative risk assessment studies based on human data. The main steps of such studies include definition of counterfactual scenarios related to the exposure or policy, exposure(s) assessment, quantification of risks (usually relying on literature-based dose response functions), possibly economic assessment, followed by uncertainty analyses. We discuss issues and make recommendations relative to the accuracy and geographic scale at which factors are assessed, which can strongly influence the study results. If several factors are considered simultaneously, then correlation, mutual influences and possibly synergy between them should be taken into account. Gaps or issues in the methodology of quantitative risk assessment studies include 1) proposing a formal approach to the quantitative handling of the level of evidence regarding each exposure-health pair (essential to consider emerging factors); 2) contrasting risk assessment based on human doseâ€“response functions with that relying on toxicological data; 3) clarification of terminology ofÂ health impact assessment and human-based risk assessment studies, which are actually very similar, and 4) other technical issues related to the simultaneous consideration of several factors, in particular when they are causally linked.",mds,True,findable,0,0,0,0,0,2024-01-28T04:40:08.000Z,2024-01-28T04:40:09.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Environmental Sciences not elsewhere classified,Chemical Sciences not elsewhere classified,Sociology,FOS: Sociology,Developmental Biology,Cancer,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",,
-10.48380/dggv-jsn0-1k58,Crust and upper mantle structure of the Ligurian Sea revealed by ambient noise tomography and receiver function analysis,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2020,en,Text,,"GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany (1); Kiel University (2); Institut de physique du globe de Paris, Paris, France (3); ISTerre - Institut des Sciences de la Terre, Grenoble, France (4); AlpArray Working Group: http://www.alparray.ethz.ch (5); <br> <br> The Liguro-Provencal-basin was formed as a back-arc basin of the retreating Calabrian-Apennines subduction zone during the Oligocene and Miocene. The resulting rotation of the Corsica-Sardinia block is associated with rifting, shaping the Ligurian Sea. It is debated though, whether oceanic or atypical oceanic crust was formed or if the crust is continental and experienced extreme thinning during the opening of the basin. We contribute to the debate by surveying the type of crust and lithosphere flooring the Ligurian Sea using 29 broadband Ocean Bottom Seismometer (OBS). The instruments were installed in the Ligurian Sea for eight months between June 2017 and February 2018, as part of the AlpArray seismic network. Because of additional noise sources in the ocean, OBS data are rarely used for ambient noise studies. However, we extensively pre-process the data, including corrections for instrument tilt and seafloor compliance, to improve the signal-to-noise ratio. We calculate daily cross-correlation functions for the LOBSTER array and surrounding land stations. Additionally, we correlate short time windows that include strong earthquake events that allow us to derive surface wave group velocities for longer periods than using ambient noise only. Group velocity maps are obtained by inverting Greenâ€™s functions derived from the cross-correlation of ambient noise and teleseismic events, respectively. Our group velocity maps show strong heterogeneities for short periods (5-15 s, corresponding to shallow depths). In general, the velocities increase with depth and the velocity anomalies can be related to varying sediment thickness and magmatism. The longer periods (20-90 s) show a smoother velocity structure that reveals mantle velocities in the vicinity of the Ligurian margin, north of the basin centre. However, resolution at greater depth is limited along the Corsican margin due to less station coverage. Our results do not indicate an oceanic spreading centre, however, may hint to an asymmetric opening of the Ligurian Basin.",fabricaForm,True,findable,0,0,0,0,0,2021-01-11T09:10:54.000Z,2021-04-15T11:44:22.000Z,mcdy.dohrmi,mcdy,,,,
-10.26302/sshade/bandlist_raman_n2_alpha-n2,Raman band list of N2 in natural solid N2 (phase alpha),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman band list of the isotopes of $N_2$ in natural solid $\alpha-N2$,mds,True,findable,0,0,0,0,0,2023-04-21T07:14:31.000Z,2023-04-21T07:14:31.000Z,inist.sshade,mgeg,"natural N2 - phase alpha,Nitrogen,Solid alpha Nitrogen,$\alpha$-phase,Dinitrogen,7727-37-9,N2,non polar molecular solid,molecular solids with apolar molecules,inorganic molecular solid,Raman scattering,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural N2 - phase alpha', 'subjectScheme': 'name'}, {'subject': 'Nitrogen', 'subjectScheme': 'name'}, {'subject': 'Solid alpha Nitrogen', 'subjectScheme': 'name'}, {'subject': '$\\alpha$-phase', 'subjectScheme': 'name'}, {'subject': 'Dinitrogen', 'subjectScheme': 'IUPAC name'}, {'subject': '7727-37-9', 'subjectScheme': 'CAS number'}, {'subject': 'N2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5281/zenodo.5109574,Snow cover in the European Alps: Station observations of snow depth and depth of snowfall,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Auxiliary files, code, and data for paper published in The Cryosphere: Observed snow depth trends in the European Alps 1971 to 2019 https://doi.org/10.5194/tc-15-1343-2021 <strong>Auxiliary files:</strong> aux_paper.zip: Auxiliary figures to the paper (time series showing the consistency of averaging monthly mean snow depth of stations within 500 m elevation bins; times of seasonal snow depth and snow cover duration indices). aux_paper_crocus_comparison.zip: Time series comparing spatial statistical gap filling from paper to gap filling using snow depth assimilation into Crocus snow model (only for subset of stations in the French Alps) aux_paper_monthly_time_series.zip: Plots of monthly time series of snow depth, for each station. aux_paper_spatial_consistency.zip: Aggregate results from spatial consistency (statistical simulation using neighboring stations), and time series of observed versus simulated monthly snow depths. <strong>Code </strong>(working copy, not cleaned, all written in R statistical software): code.zip to read in the different data sources to do quality checks and data processing to perform statistical analyses as in paper to produce figures and tables as in paper <strong>Data</strong>: &gt; 2000 stations from Austria, Germany, France, Italy, Switzerland, and Slovenia Daily stations snow depth and depth of snowfall, as .zips, grouped by data provider. Information on column content is provided in ""data_daily_00_column_names_content.txt"". Monthly stations mean snow depth, sum of depth of snowfall, maximum snow depth, days with snow cover (1-100cm thresholds), as .zips, grouped by data provider. Information on column content is provided in ""data_monthly_00_column_names_content.txt"". Meta data (name, latitude, longitude, elevation) in ""meta_all.csv"", along with an interactive map ""meta_interactive_map.html"", and column information in ""meta_00_column_names_content.txt"". If you <strong>use the data you agree to adhere to the respective data provider's terms</strong> as listed in ""00_DATA_LICENSE_AND_TERMS.PDF"" The license terms especially (and additionally to any other terms of the single data providers) include: <strong>Attribution</strong> â€” You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. [from CC BY 4.0] <strong>Version history:</strong> v1.3: added maxHS and SCD (with various 1-100cm thresholds) to monthly data v1.2: uploaded data v1.1: changes to aux-paper.zip and code.zip as consequence from submitting a revised manuscript v1.0: initial upload",mds,True,findable,0,0,0,1,0,2021-07-16T10:47:06.000Z,2021-07-16T10:47:07.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3361544,Exoplanet imaging data challenge,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Datasets for the Exoplanet imaging data challenge (https://exoplanet-imaging-challenge.github.io).,mds,True,findable,4,0,0,0,0,2019-08-06T13:28:55.000Z,2019-08-06T13:28:55.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10654575,"Calculs de Puissance, de la Taille d'Ã‰chantillon et du Smallest Effect Size of Interest (SESOI)",Zenodo,2024,,InteractiveResource,Creative Commons Attribution 4.0 International,"Cet atelier Ã  pour objectif d'expliquer pourquoi et comment conduire (a) un calcul de puissance, (b) un calcul de taille d'Ã©chantillon et (c) un calcul du Smallest Effect Size of Interest (SESOI). Une Ã©tude fictive nous permet d'illustrer ces concepts tout au long de l'atelier, notamment via l'utilisation du logiciel G*Power.
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-Vous trouverez les ressources suivantes :
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-L'enregistrement vidÃ©o de l'atelier
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-Le support .pdf qui intÃ¨gre les ressources utilisÃ©es pour crÃ©er l'atelier et vous permettre d'aller plus loin dans cette rÃ©flexion",api,True,findable,0,0,0,0,1,2024-02-13T14:28:34.000Z,2024-02-13T14:28:34.000Z,cern.zenodo,cern,"Power analysis,Sample size,Smallest effect size of interest","[{'subject': 'Power analysis'}, {'subject': 'Sample size'}, {'subject': 'Smallest effect size of interest'}]",,
-10.5281/zenodo.4022283,Topological Weaire-Thorpe models of amorphous matter,Zenodo,2020,,Software,"BSD 2-Clause ""Simplified"" License,Open Access","<strong>Abstract</strong> Amorphous solids remain outside of the classification and systematic discovery of new topological materials, partially due to the lack of realistic models that are analytically tractable. Here we introduce the topological Weaire-Thorpe class of models, which are defined on amorphous lattices with fixed coordination number, a realistic feature of covalently bonded amorphous solids. Their short-range properties allow us to analytically predict spectral gaps. Their symmetry under permutation of orbitals allows us to compute analytically topological phase diagrams, which determine quantized observables like circular dichroism, by introducing symmetry indicators for the first time in amorphous systems. These models and our procedures to define invariants are generalizable to higher coordination number and dimensions, opening a route towards a complete classification of amorphous topological states in real space using quasilocal properties. <strong>Contents</strong> Code to generate all data and figures in the manuscript: Plots.ipynb most plots, no calculations Figure2.ipynb figure 2 c) and d) including calculations kpm_weaire_thorpe.ipynb heavy calculations and some supplementary plots fourfold_model_plots.ipynb calculations and figures for fourfold coordinated model Data produced by the longer calculations. <strong>Requirements</strong> kwant &gt;= 1.4",mds,True,findable,0,0,1,0,0,2020-09-10T10:56:45.000Z,2020-09-10T10:56:46.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5243199,Japanese DBnary archive in original Lemon format,Zenodo,2021,ja,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Japanese language edition, ranging from 11th October 2013 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T10:26:51.000Z,2021-08-24T10:26:51.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.26302/sshade/experiment_lb_20200914_001,"Vis-NIR reflectance spectra (i = 0Â°, e = 30Â°) of three lithologies (raw + powder) of the CM2 chondrite Aguas Zarcas under ambient conditions",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra (i = 0Â°, e = 30Â°) of 3 different lithologies (raw and powdered samples) of the CM2 chondrite Aguas Zarcas under ambient conditions",mds,True,findable,0,0,0,0,0,2020-09-28T09:14:32.000Z,2020-09-28T09:14:33.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix,complex mineral mix,chondrules,CAIs,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules'}, {'subject': 'CAIs'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['6 spectra'],['ASCII']
-10.57745/5o6qih,The EVE Pilot: Usage Data from an Electric Car in France,Recherche Data Gouv,2023,,Dataset,,"This dataset contains the usage data of a single electric car collected in as part of the EVE study (EnquÃªte des Vehicles Electrique) run by the Observatoire du Transition EnergÃ©tique Grenoble (OTE-UGA). This dataset includes the following variables for a single Renault ZOE 2014 Q90: - Speed, distance covered, and other drivetrain data variables; - State of charge, State of health and other battery characteristics; as well as - external temperature variables. The Renault ZOE 2014 Q90 has a battery capacity of 22 KWh and a maximum speed of 135 KM/h. More information about on the specifications can be found here The electric car is used for personal use exclusively including occasional transit to work but mostly for personal errands and trips. The dataset was collected using a CanZE app and a generic car lighter dongle. The dataset spans two years from October 2020 to August 2022. A simple Python notebook that visualises the datasets can be found here. More complex usecases for the datasets can be found in the following links: - Comparison of the carbon footprint of driving across countries: link - Feedback indicators of electric car charging behaviours: link There is also more information on the collection process and other potential uses in the data paper here. Please don't hesitate to contact the authors if you have any further questions about the dataset.",mds,True,findable,83,0,0,0,0,2023-08-31T07:08:06.000Z,2023-10-13T07:32:19.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.2789093,Seismic analysis of the detachment and impact phases of a rockfall and application for estimating rockfall volume and free-fall height,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Digital Elevation models of the Mount Granier and Mount Saint-Eynard. Mount Saint-Eynard DEMs were carried out using an Optech Ilris-LR laser scanner. Mount Granier DEMs were carried out by photogrammetry.,mds,True,findable,0,0,0,0,0,2019-05-14T10:03:04.000Z,2019-05-14T10:03:05.000Z,cern.zenodo,cern,"DEM,Mount Granier,Mount Saint-Eynard,TLS,photogrammetry","[{'subject': 'DEM'}, {'subject': 'Mount Granier'}, {'subject': 'Mount Saint-Eynard'}, {'subject': 'TLS'}, {'subject': 'photogrammetry'}]",,
-10.35088/hh7x-gr77,"Current status of putative animal sources of SAS-CoV-2 2 infection in humans: wildlife, domestic animals and pets",IHU MÃ©diterranÃ©e Infection,2021,,Text,,,fabricaForm,True,findable,0,0,0,0,0,2021-04-06T13:12:21.000Z,2021-04-06T13:12:21.000Z,ihumi.pub,ihumi,,,,
-10.26302/sshade/experiment_cl_20181201_01,Ion irradiation ($He^+$) of an Allende meteorite pellet probed by Vis-NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR spectra of Allende meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T10:52:20.000Z,2022-05-27T10:52:21.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CV,complex organic-mineral mix,matrix Allende,complex mineral mix,chondrules Allende,CAIs Allende,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CV'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Allende'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Allende'}, {'subject': 'CAIs Allende'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.15778/resif.yi2015,"Saint-GuÃ©rin Arch Dam Experiment, 2015-2016, code YI, funded by chaire Pereniti (Grenoble INP, EDF), UniversitÃ© Grenoble Alpes, instrumented by RESIF-SISMOB",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2017,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","The Saint-GuÃ©rin arch dam experiment consists of a dense network of 19 broadband velocimeters deployed for one year on and around the Saint-GuÃ©rin arch dam (french Alps) in order (i) to capture the spatial variability of seismic ground motions at the dam-foundation interface, (ii) to measure the seismic response at the dam crest and (iii) to monitor the variations of the seismic response of the dam and its surroundings caused by environemental changes (water elevation, temperature).",mds,True,findable,0,0,0,1,0,2017-11-22T11:24:15.000Z,2017-11-22T11:24:15.000Z,inist.resif,vcob,"Dense seismic array,Spatial variability,Seismic ground motion,Arch dam,Engineering seismology,Earthquake engineering,Structural dynamics","[{'subject': 'Dense seismic array'}, {'subject': 'Spatial variability'}, {'subject': 'Seismic ground motion'}, {'subject': 'Arch dam'}, {'subject': 'Engineering seismology'}, {'subject': 'Earthquake engineering'}, {'subject': 'Structural dynamics'}]",['Approx. 307 Gb;19 stations'],"['Miniseed data data', 'stationXML metadata']"
-10.5281/zenodo.5723606,Classification of blood cells dynamics with convolutional and recurrent neural networks: a sickle cell disease case study,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The fraction of red blood cells (RBC) adopting a specific motion under low shear flow is a promising inexpensive marker for monitoring the clinical status of patients with sickle cell disease (SCD). Its high-throughput measurement relies on the video analysis of thousands of cell motions for each blood sample to eliminate a large majority of unreliable samples(out of focus or overlapping cells) and discriminate between tank-treading and flipping motion, characterizing highly and poorly deformable cells respectively. These videos are of different durations (from 6 to more than 100 frames). This dataset contains four adult patients with SCD. They were enrolled in the study Drepaforme (approved by the institutional review board CPP Ouest 6 under the reference nÂ°2018A00679-46) and were sampled weekly for several months. The movies were processed using in-house routines in Matlab (Matlab, R2016a) and RBC were detected individually and tracked over time. The database provided in this repository are already pre-processed sequences of tracked and centered RBC over time, each time step image being normalized to 31x31 pixels. Within the 32 experiments, the total number of sequences (or samples) is nearly 150 000. All sequences were semi-automatically labelled into 3 classes, depending on the dynamic of the cell: tank-treading, flipping and unreliable (140 000 are unreliable). The percentage of tank-treading cells with respect to all reliable cells (tank-treading+flipping) in every experiment is the final goal of this study. This dataset is very interesting to the community as it is a large database for cell dynamics classification: the class depends on the movement of the cell. An automatic processing of the database using a 2-stage deep learning model is available here https://github.com/icannos/redbloodcells_disease_classification For opening the data in python: from scipy.io import loadmat<br> x=loadmat('BG20191003shear10s01_Export.mat') * x['Norm_Tab'] is of size nb_samples x max_len_sequences x 31 x 31, where max_len_sequences is the length of the longest sequence of the series, typically ~150 to 180. The other sequences are padded with 31x31 zero matrices at the end in order to fill this maximal length. * x['Labels_Num'] is the corresponding label of each sequence, of size nb_samples. Label can be:<br> - 0 : ""tank-treading"" (or healthy)<br> - 1 : ""flipping"" (or tumbling, i.e. related to a SCD)<br> - 2 : ""unreliable""",mds,True,findable,0,0,0,0,0,2021-11-24T10:21:40.000Z,2021-11-24T10:21:41.000Z,cern.zenodo,cern,"blood cell,cell dynamics,cell classification,cell motion","[{'subject': 'blood cell'}, {'subject': 'cell dynamics'}, {'subject': 'cell classification'}, {'subject': 'cell motion'}]",,
-10.17178/emaa_(40ar)h-plus_rotation_8c27af9a,Rotation excitation of [40Ar]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 66 collisional transitions for H (34 temperatures in the range 10-1000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:35.000Z,2021-11-18T13:34:36.000Z,inist.osug,jbru,"target [40Ar]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [40Ar]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_lb_20191216_001,"NIR reflectance spectrum (i=0Â°, e=30Â°) of bulk CM, CR, CI and ungrouped chondrites under vacuum at room temperature before and after a heating cycle",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR reflectance spectra (i = 0Â°, e=30Â°) of bulk CM, CR, CI and ungrouped chondrites (ALH83100, MET01070, Murchison, QUE97990, DOM08003, ALH84033, MAC88100, EET96029, MIL07700, WIS91600, Orgueil, GRO95577, Tagish Lake) under vacuum at room temperature before and after heating cycle",mds,True,findable,0,0,0,1,0,2020-05-12T07:59:40.000Z,2020-05-12T07:59:41.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix ALH83100,complex mineral mix,chondrules ALH83100,CAIs ALH83100,matrix MET01070,chondrules MET01070,CAIs MET01070,matrix Murchison,chondrules Murchison,CAIs Murchison,matrix QUE97990,chondrules QUE97990,CAIs QUE97990,matrix DOM08003,chondrules DOM08003,CAIs DOM08003,matrix ALH84033,chondrules ALH84033,CAIs ALH84033,matrix MAC88100,chondrules MAC88100,CAIs MAC88100,matrix EET96029,chondrules EET96029,CAIs EET96029,matrix MIL07700,chondrules MIL07700,CAIs MIL07700,matrix WIS91600,chondrules WIS91600,CAIs WIS91600,CR,matrix GRO95577,chondrules GRO95577,CAIs GRO95577,CI,bulk Orgueil,ungrouped,matrix TL,chondrules TL,CAIs TL,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix ALH83100'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules ALH83100'}, {'subject': 'CAIs ALH83100'}, {'subject': 'matrix MET01070'}, {'subject': 'chondrules MET01070'}, {'subject': 'CAIs MET01070'}, {'subject': 'matrix Murchison'}, {'subject': 'chondrules Murchison'}, {'subject': 'CAIs Murchison'}, {'subject': 'matrix QUE97990'}, {'subject': 'chondrules QUE97990'}, {'subject': 'CAIs QUE97990'}, {'subject': 'matrix DOM08003'}, {'subject': 'chondrules DOM08003'}, {'subject': 'CAIs DOM08003'}, {'subject': 'matrix ALH84033'}, {'subject': 'chondrules ALH84033'}, {'subject': 'CAIs ALH84033'}, {'subject': 'matrix MAC88100'}, {'subject': 'chondrules MAC88100'}, {'subject': 'CAIs MAC88100'}, {'subject': 'matrix EET96029'}, {'subject': 'chondrules EET96029'}, {'subject': 'CAIs EET96029'}, {'subject': 'matrix MIL07700'}, {'subject': 'chondrules MIL07700'}, {'subject': 'CAIs MIL07700'}, {'subject': 'matrix WIS91600'}, {'subject': 'chondrules WIS91600'}, {'subject': 'CAIs WIS91600'}, {'subject': 'CR'}, {'subject': 'matrix GRO95577'}, {'subject': 'chondrules GRO95577'}, {'subject': 'CAIs GRO95577'}, {'subject': 'CI'}, {'subject': 'bulk Orgueil'}, {'subject': 'ungrouped'}, {'subject': 'matrix TL'}, {'subject': 'chondrules TL'}, {'subject': 'CAIs TL'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['26 spectra'],['ASCII']
-10.6084/m9.figshare.14216912,Exhumation of the Western Alpine collisional wedge: new thermochronological data,figshare,2022,,Dataset,Creative Commons Attribution 4.0 International,"<b>Table 1</b>: Raman spectroscopy of carbonaceous material data. GPS coordinates in WGS84 system, number of spectra (n), mean R2 ratio (Beyssac et al., 2002a) or RA1 ratio (Lahfid et al., 2010) reliant on best fit during post-processing using the software PeakFit following the methods described in Beyssac et al. (2002b) and Lahfid et al. (2010) with corresponding standard deviation, and calculated temperature with standard error (SE). Standard error is the standard deviation divided by âˆšn. The absolute error on temperature is Â±50 Â°C (Beyssac et al., 2002b). (a) Method from Lahfid et al. (2010) and (b) Method from Beyssac et al. (2002b). For very disordered graphitic carbon that is found in least metamorphosed rocks, we assign T &lt; 200 Â°C.<br><b>Table 2</b>: Zircon fission-track data from Belledonne and Grandes Rousses massifs, western Alps. All samples were counted at 1250 x dry (x 100 objective, 1.25 tube factor, 10 oculars) by J.B. Girault using a zeta (IRMM541) of 120.42 Â± 3.23 (Â± 1SE); all ages are reported as central ages (Galbraith and Laslett, 1993). GPS coordinates in WGS84 system. Massif: NBDi = North Belledonne internal unit; NBDe = North Belledonne external unit, CBD = Central Belledonne, SBD = South Belledonne, GR =Grandes Rousses; N = number of grains counted; Ïs = spontaneous track density; Ïi = induced track density; Ns, Ni = number of tracks counted to determine the reported track densities; P(Ï‡2) = Chi-square probability that the single grain ages represent one population.<br><b>Table 3</b>: Apatite fission-track data from Belledonne massif, western Alps. All samples were counted at 1250 x dry (x 100 objective, 1.25 tube factor, 10 oculars) by M. Balvay using a zeta (CN-5) of 273.35 Â± 12.05 (Â± 1SE); all ages are reported as central ages (Galbraith and Laslett, 1993). Latitude and Longitude in WGS84 reference frame. Massif: NBDi = North Belledonne internal unit; NBDe = North Belledonne external unit, CBD = Central Belledonne, SBD = South Belledonne, GR =Grandes Rousses; N = number of grains counted; Ïs = spontaneous track density; Ïi = induced track density; Ns, Ni = number of tracks counted to determine the reported track densities; P(Ï‡2) = Chi-square probability that the single grain ages represent one population.<br><b>Table 4</b>: (U-T-Sm/He) on zircons data (ZHe) from Belledonne and Grandes Rousses massifs, western Alps. Latitude and Longitude in WGS84 reference frame. Massif: NBDi = North Belledonne internal unit; NBDe = North Belledonne external unit, CBD = Central Belledonne, SBD = South Belledonne, GR = Grandes Rousses<br><b>Supplemental data 1</b>: Age/elevation distribution of the thermochronological data (AFT, ZHe and ZFT) from (e) North External Belledonne (dark blue dots), (f) North Internal Belledonne (light blue dots) and (g) South Belledonne (yellow dots). One elevation range of LT thermochronological data was selected at ~1800m with, when possible, ZFT, ZHe and AFT data for thermal inversion modelling. (d) Grandes Rousses (purple dots) with full range scale. South Belledonne and Grandes Rousses: AFT data from Sabil (1995).<br><b><br></b><b>Supplemental data 2</b>: Termal histories modelled with HeFTy sofware for the (e) North Belledonne external unit at ~1800m, (f) North Belledonne external unit at 1800m and (g) South Belledonne massif at ~2200m. Tâ€“t paths are statistically evaluated and categorized by their value of goodness of ft (GOF). â€˜Acceptableâ€™ results, in green, correspond to a 0.05 GOF value and â€˜goodâ€™ results, in purple, correspond to 0.5 GOF (Ketcham, 2005).<b><br></b><b>Supplemental data 3</b>: Age/elevation distribution of zircon fssion-track (ZFT) ages available for Aiguilles Rouges (Soom, 1990) and Mont Blanc (Glotzbach et al., 2011): gray diamond-shaped, Belledonne (this study): orange circle, Pelvoux â€“ Meije massifs (van der Beek et al., 2010): yellow square, Grandes Rousses (this study): pink circle and Argentera (Bigot-Cormier et al., 2002): grey square.<br><br><br>",mds,True,findable,0,0,0,0,0,2021-03-15T15:40:01.000Z,2021-03-15T15:40:01.000Z,figshare.ars,otjm,"40312 Structural Geology,FOS: Earth and related environmental sciences,Geology,40399 Geology not elsewhere classified","[{'subject': '40312 Structural Geology', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Geology'}, {'subject': '40399 Geology not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}]",['1526061 Bytes'],
-10.5061/dryad.5x69p8d6v,Cophylogeny reconstruction allowing for multiple associations through approximate Bayesian computation,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Phylogenetic tree reconciliation is extensively employed for the examination of coevolution between host and symbiont species. An important concern is the requirement for dependable cost values when selecting event-based parsimonious reconciliation. Although certain approaches deduce event probabilities unique to each pair of host and symbiont trees, which can subsequently be converted into cost values, a significant limitation lies in their inability to model the invasion of diverse host species by the same symbiont species (termed as a spread event), which is believed to occur in symbiotic relationships. Invasions lead to the observation of multiple associations between symbionts and their hosts (indicating that a symbiont is no longer exclusive to a single host), which are incompatible with the existing methods of coevolution. Here, we present a method called AmoCoala (an enhanced version of the tool Coala) that provides a more realistic estimation of cophylogeny event probabilities for a given pair of host and symbiont trees, even in the presence of spread events. We expand the classical 4-event coevolutionary model to include 2 additional spread events (vertical and horizontal spreads) that lead to multiple associations. In the initial step, we estimate the probabilities of spread events using heuristic frequencies. Subsequently, in the second step, we employ an approximate Bayesian computation (ABC) approach to infer the probabilities of the remaining 4 classical events (cospeciation, duplication, host switch, and loss) based on these values. By incorporating spread events, our reconciliation model enables a more accurate consideration of multiple associations. This improvement enhances the precision of estimated cost sets, paving the way to a more reliable reconciliation of host and symbiont trees. To validate our method, we conducted experiments on synthetic datasets and demonstrated its efficacy using real-world examples. Our results showcase that AmoCoala produces biologically plausible reconciliation scenarios, further emphasizing its effectiveness.The software is accessible at https://github.com/sinaimeri/AmoCoala.",mds,True,findable,123,17,0,1,0,2022-10-25T22:13:01.000Z,2022-10-25T22:13:02.000Z,dryad.dryad,dryad,"reconciliation,cophylogeny,ABC method,spread,FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'reconciliation'}, {'subject': 'cophylogeny'}, {'subject': 'ABC method'}, {'subject': 'spread'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['6418 bytes'],
-10.5281/zenodo.7472518,"Dataset for ""Coulomb-mediated antibunching of an electron pair surfing on sound""",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","*********************************************************<br> This repository contains the raw experimental data associated with the manuscript<br> ""Coulomb-mediated antibunching of an electron pair surfing on sound""<br> by Junliang Wang et al.<br> See arXiv:2210.03452 for more details.<br> ********************************************************* ***************************************<br> Folder organization<br> ***************************************<br> Each figure in the manuscript which contains experimental data has assigned an unique folder.<br> In each folder, you will find:<br> - a 'data' folder containing the data files<br> - the figure in pdf format<br> - the jupyter notebook employed to generate the figure. There are two types of data files:<br> - .txt with comma separated values where the header contains the information for each column.<br> - .xlxs: standard Excel format.",mds,True,findable,0,0,1,0,0,2022-12-22T12:55:10.000Z,2022-12-22T12:55:10.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.22625617,"Additional file 4 of A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 4.,mds,True,findable,0,0,0,0,0,2023-04-13T18:56:25.000Z,2023-04-13T18:56:26.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['139801 Bytes'],
-10.17178/amma-catch.senegal,"AMMA-CATCH observatory: Ferlo and Niakhar complementary sites in the Sahelian pastoral zone, Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2013,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Galle, S., Grippa, M., Peugeot, C., Bouzou Moussa, I., Cappelaere, B., Demarty, J., Mougin, E., Panthou, G. et al., 2018. AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 180062, DOI : http://dx.doi.org/10.2136/vzj2018.04.0067",mds,True,findable,0,0,1,0,0,2021-11-15T12:53:59.000Z,2021-11-15T12:54:00.000Z,inist.osug,jbru,"Sahelian climate,Precipitation,Meteo,Flux,Ground water,Soils,Soil chemistry","[{'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Soil chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.26302/sshade/experiment_vc_20050725_001,Vis-NIR reflectance spectra of Fontainebleau sand wetted with water and dried in ambiant air at 38Â°C,SSHADE/SSTONE (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","In order to investigate the spectral behavior of humidity on sand spectra, we have acquired laboratory reflectance spectra of a sand containing various proportion of water. Water was deposited on a dry sand (previously dried in an oven at 40Â°C during one night). During the experiment, the sample is then dried, under the sun at 38Â°C. A spectrum is acquired every 5 minutes with an ASD FieldSpec3FR. This experiment was done on Fontainebleau sand",mds,True,findable,0,0,0,0,0,2023-04-22T08:30:57.000Z,2023-04-22T08:30:58.000Z,inist.sshade,mgeg,"laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance,Quartz,Liquid water,mineral,natural terrestrial,tektosilicate,liquid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'bidirectional reflectance', 'subjectScheme': 'var'}, {'subject': 'Quartz', 'subjectScheme': 'name'}, {'subject': 'Liquid water', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'liquid', 'subjectScheme': 'compound type'}]",['28 spectra'],['ASCII']
-10.17178/amma-catch.ce.rain_nc_9004,"Precipitation dataset (5 minutes rainfall), for the 1990-2004 period over the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1990,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal and spatial variability of rainfall down to the local scale, where process studies are carried on. Data is used in hydrological modelling and process studies.",mds,True,findable,0,0,1,1,0,2018-03-16T15:36:59.000Z,2018-03-16T15:37:00.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.26302/sshade/experiment_ak_20141107_1,Mid-infrared attenuated total reflectance experiment with K+ exchanged less 1 Î¼m size fraction of nontronite (SWa-1) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:12:45.000Z,2022-11-04T08:12:45.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,K-exchanged smectite SWa-1 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'K-exchanged smectite SWa-1 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['5 spectra'],['ASCII']
-10.5281/zenodo.5336853,Canopy and understory tree guilds respond differently to the environment in an Indian rainforest,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Questions. Changes in the functional composition of tree communities along resource availability gradients have received attention, but it is unclear whether or not understory and canopy guilds respond similarly to different light, biomechanical, and hydraulic constraints. Location. An anthropically-undisturbed, old-growth wet evergreen Dipterocarp forest plot located in Karnataka State, India. Methods. We measured leaf and wood traits of 89 tree species representing 99% of all individuals in a 10 ha permanent plot with varying topographic and canopy conditions inferred from LiDAR data. We assigned tree species to guilds of canopy and understory species and assessed the variation of the guild weighted means of functional trait values with canopy height and topography. Results. The functional trait space did not differ between canopy and understory tree species. However, environmental filtering led to significantly different functional composition of canopy and understory guild assemblages. Furthermore, they responded differently along environmental gradients related to water, nutrients, light, and wind exposure. For example, the canopy guild responded to wind exposure while the understory guild did not. Conclusions. The pools of understory and canopy species are functionally similar. However, fine-scale environmental heterogeneity impacts differently on these two guilds, generating striking differences in functional composition between understory and canopy guild assemblages. Accounting for vertical guilds improves our understanding of forest communitiesâ€™ assembly processes.",mds,True,findable,0,0,0,0,0,2021-10-11T12:59:38.000Z,2021-10-11T12:59:39.000Z,cern.zenodo,cern,"Rainforest,Western Ghats,Leaf economics spectrum,Environmental filtering,Vertical strata,Wood economics spectrum","[{'subject': 'Rainforest'}, {'subject': 'Western Ghats'}, {'subject': 'Leaf economics spectrum'}, {'subject': 'Environmental filtering'}, {'subject': 'Vertical strata'}, {'subject': 'Wood economics spectrum'}]",,
-10.26302/sshade/experiment_rc_20200508_000,VIS-NIR reflectance spectra collected during low-temperature and near-vacuum sublimation of spherical salty ice particles (67 Âµm average diameter) produced by freezing droplets of solutions of MgSO4 with three different concentrations,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Spherical ice particles are produced by spraying droplets of salt solution into liquid nitrogen with the SPIPA-B setup. Centimeter-thick samples made of these particles are then introduced in the SCITEAS-2 simulations chamber and their slow sublimation at low temperature and in secondary vacuum is followed for several tens of hours by VIS-NIR hyperspectral imaging.,mds,True,findable,0,0,0,0,0,2023-06-09T17:14:58.000Z,2023-06-09T17:14:59.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,water ice,Magnesium(II) sulfate hydrates,laboratory,inorganic molecular solid,sulfate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) sulfate hydrates', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'sulfate', 'subjectScheme': 'compound type'}]",['204 spectra'],['ASCII']
-10.17178/emaa_dnc_rotation_65a4bdbe,"Rotation excitation of DNC by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 16 radiative transitions / 136 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 136 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 36 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:30.000Z,2022-02-07T11:24:31.000Z,inist.osug,jbru,"target DNC,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DNC', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_n2h-plus_hyperfine_e9d3c782,Hyperfine excitation of N2H+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",64 hyperfine energy levels / 156 radiative transitions / 1946 collisional transitions for para-H2 (14 temperatures in the range 5-70K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:23.000Z,2021-11-18T13:35:24.000Z,inist.osug,jbru,"target N2H+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N2H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_bs_20200422_100,"Vis-NIR reflectance spectra of Bordezac pigments (Pig_0160_D): blocks, powders, plots and painted matters",SSHADE/PIG (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of Bordezac pigments (Pig_0160_D) as 2 raw blocks and 1 sawn (2 faces each), as a powder with grain sizes &lt; 160 Âµm (2 densities: 0.91 and 1.53 g/cm3), as a polished plot and a painted matter on limestone",mds,True,findable,0,0,0,0,0,2020-08-28T04:51:37.000Z,2020-08-28T04:51:38.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,tektosilicate,Quartz,phyllosilicate,Muscovite,phosphate,Xenotime-(Y),sulfate,Baryte,oxide-hydroxide,Hematite,carbonate,limestone,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'phyllosilicate'}, {'subject': 'Muscovite'}, {'subject': 'phosphate'}, {'subject': 'Xenotime-(Y)'}, {'subject': 'sulfate'}, {'subject': 'Baryte'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hematite'}, {'subject': 'carbonate'}, {'subject': 'limestone'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['10 spectra'],['ASCII']
-10.6084/m9.figshare.24091567,Additional file 2 of Survey of adolescentsâ€™ needs and parentsâ€™ views on sexual health in juvenile idiopathic arthritis,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 2,mds,True,findable,0,0,0,0,0,2023-09-06T17:23:04.000Z,2023-09-06T17:23:04.000Z,figshare.ars,otjm,"Medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Science Policy'}]",['286208 Bytes'],
-10.26302/sshade/bandlist_raman_dolomite,Raman bandlist of natural Dolomite,SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Dolomite at 295K,mds,True,findable,0,0,0,0,0,2023-04-22T06:32:32.000Z,2023-04-22T06:32:33.000Z,inist.sshade,mgeg,"Dolomite,Calcium cation,Magnesium(II) cation,Carbonate anion,Calcium(2+) cation,Magnesium(2+) cation,14127-61-8,22537-22-0,Ca2+,Mg2+,(CO3)2-,CaMg(CO3)2,Dolomite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Norsethite Group,14.02.01.01,05.AB.10,Raman scattering,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Dolomite', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Magnesium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': '22537-22-0', 'subjectScheme': 'CAS number'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': 'Mg2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'CaMg(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'Dolomite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Norsethite Group', 'subjectScheme': 'Dana group'}, {'subject': '14.02.01.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.10', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.57745/ot1ifb,Water transit time tracing model using wetness adaptive StorAge Selection functions,Recherche Data Gouv,2023,,Dataset,,"A model using StorAge Selection (SAS) functions in order to estimate water transit time distributions through a mesoscale catchment under Mediterranean climate, prone to flash floods. This dataset contains the model code, forcing data as well as results of a sensitivity analysis. The article describing this model will be linked once published.",mds,True,findable,253,2,0,0,0,2023-04-20T12:52:05.000Z,2023-06-20T12:31:30.000Z,rdg.prod,rdg,,,,
-10.25384/sage.c.6837354.v1,Perceived Quality of Life in Intensive Care Medicine Physicians: A French National Survey,SAGE Journals,2023,,Collection,Creative Commons Attribution 4.0 International,"PurposeThere is a growing interest in the quality of work life (QWL) of healthcare professionals and staff well-being. We decided to measure the perceived QWL of ICU physicians and the factors that could influence their perception. <b>Methods:</b> We performed a survey coordinated and executed by the French Trade Union of Intensive Care Physicians (SMR). QWL was assessed using the French version of the Work-Related Quality of Life (WRQoL) scale, perceived stress using the French version of 10 item-Perceived Stress Scale (PSS-10) and group functioning using the French version of the Reflexivity Scale, the Social Support at Work Questionnaire (QSSP-P). <b>Results:</b> 308 French-speaking ICU physicians participated. 40% perceived low WRQoL, mainly due to low general well-being, low satisfaction with working conditions and low possibility of managing the articulation between their private and professional lives. Decreased QWL was associated with being a woman (p = .002), having children (p = .022) and enduring many monthly shifts (p = .022). <b>Conclusions:</b> This work highlights the fact that ICU physicians feel a significant imbalance between the demands of their profession and the resources at their disposal. Communication and exchanges within a team and quality of social support appear to be positive elements to maintain and/or develop within our structures.",mds,True,findable,0,0,0,0,0,2023-09-15T12:11:54.000Z,2023-09-15T12:11:54.000Z,figshare.sage,sage,"Emergency Medicine,Aged Health Care,Respiratory Diseases","[{'subject': 'Emergency Medicine'}, {'subject': 'Aged Health Care'}, {'subject': 'Respiratory Diseases'}]",,
-10.25384/sage.c.6567921.v1,Impact of a telerehabilitation programme combined with continuous positive airway pressure on symptoms and cardiometabolic risk factors in obstructive sleep apnea patients,SAGE Journals,2023,,Collection,Creative Commons Attribution 4.0 International,"BackgroundObstructive sleep apnea syndrome is a common sleep-breathing disorder associated with adverse health outcomes including excessive daytime sleepiness, impaired quality of life and is well-established as a cardiovascular risk factor. Continuous positive airway pressure is the reference treatment, but its cardiovascular and metabolic benefits are still debated. Combined interventions aiming at improving patient's lifestyle behaviours are recommended in guidelines management of obstructive sleep apnea syndrome but adherence decreases over time and access to rehabilitation programmes is limited. Telerehabilitation is a promising approach to address these issues, but data are scarce on obstructive sleep apnea syndrome.MethodsThe aim of this study is to assess the potential benefits of a telerehabilitation programme implemented at continuous positive airway pressure initiation, compared to continuous positive airway pressure alone and usual care, on symptoms and cardiometabolic risk factors of obstructive sleep apnea syndrome. This study is a 6-months multicentre randomized, parallel controlled trial during which 180 obese patients with severe obstructive sleep apnea syndrome will be included. We will use a sequential hierarchical criterion for major endpoints including sleepiness, quality of life, nocturnal systolic blood pressure and inflammation biological parameters.Discussionm-Rehab obstructive sleep apnea syndrome is the first multicentre randomized controlled trial to examine the effectiveness of a telerehabilitation lifestyle programme in obstructive sleep apnea syndrome. We hypothesize that a telerehabilitation lifestyle intervention associated with continuous positive airway pressure for 6 months will be more efficient than continuous positive airway pressure alone on symptoms, quality of life and cardiometabolic risk profile. Main secondary outcomes include continuous positive airway pressure adherence, usability and satisfaction with the telerehabilitation platform and medico-economic evaluation.Trial registrationClinicaltrials.gov Identifier: NCT05049928. Registration data: 20 September 2021",mds,True,findable,0,0,0,0,0,2023-04-07T00:07:22.000Z,2023-04-07T00:07:23.000Z,figshare.sage,sage,"111708 Health and Community Services,FOS: Health sciences,Cardiology,110306 Endocrinology,FOS: Clinical medicine,110308 Geriatrics and Gerontology,111099 Nursing not elsewhere classified,111299 Oncology and Carcinogenesis not elsewhere classified,111702 Aged Health Care,111799 Public Health and Health Services not elsewhere classified,99999 Engineering not elsewhere classified,FOS: Other engineering and technologies,Anthropology,FOS: Sociology,200299 Cultural Studies not elsewhere classified,FOS: Other humanities,89999 Information and Computing Sciences not elsewhere classified,FOS: Computer and information sciences,150310 Organisation and Management Theory,FOS: Economics and business,Science Policy,160512 Social Policy,FOS: Political science,Sociology","[{'subject': '111708 Health and Community Services', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cardiology'}, {'subject': '110306 Endocrinology', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '110308 Geriatrics and Gerontology', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111099 Nursing not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111299 Oncology and Carcinogenesis not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111702 Aged Health Care', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111799 Public Health and Health Services not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '99999 Engineering not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Other engineering and technologies', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Anthropology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '200299 Cultural Studies not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Other humanities', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '89999 Information and Computing Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '150310 Organisation and Management Theory', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Economics and business', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '160512 Social Policy', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Political science', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}]",,
-10.5281/zenodo.3876188,Raw diffraction data for [NiFeSe] hydrogenase G491A variant pressurized with O2 gas - dataset G491A-O2-HD,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID30B on April 8, 2018. Image files are uploaded in blocks of gzip-compressed cbf files.",mds,True,findable,0,0,0,0,0,2020-06-04T10:15:53.000Z,2020-06-04T10:15:54.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
-10.57745/ovcwqn,"Data supporting ""Deformation mechanisms, microstructures, and seismic anisotropy of wadsleyite in the Earth's transition zone"" by Ledoux et al.",Recherche Data Gouv,2023,,Dataset,,"We provide here the data supporting our article entitled Deformation mechanisms, microstructures, and seismic anisotropy of wadsleyite in the Earths transition zone: raw diffraction images, multigrain indexing files, and VPSC and seismic anisotropy simulations.",mds,True,findable,61,7,0,1,0,2023-04-17T15:55:54.000Z,2023-10-22T15:05:39.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.7382840,"DBnary in Ontolex, All Languages Archive 2017",Zenodo,2017,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modeled using the ontolex vocabulary. This dataset contains the archive of all DBnary dumps of 2017 in Ontolex format containing lexical information from wiktionary dumps of 2017 (post July 1st).",mds,True,findable,0,0,0,0,0,2022-11-30T16:23:54.000Z,2022-11-30T16:23:54.000Z,cern.zenodo,cern,"Wiktionary,Ontolex,Lexical Data,RDF,Bulgarian,German,Modern Greek,English,Spanish,Finnish,French,Indonesian,Italian,Japanese,Latin,Lithuanian,Malagasy,Dutch,Norvegian,Polish,Portuguese,Russian,Serbo Croatian,Swedish,Turkish","[{'subject': 'Wiktionary'}, {'subject': 'Ontolex'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}, {'subject': 'Bulgarian'}, {'subject': 'German'}, {'subject': 'Modern Greek'}, {'subject': 'English'}, {'subject': 'Spanish'}, {'subject': 'Finnish'}, {'subject': 'French'}, {'subject': 'Indonesian'}, {'subject': 'Italian'}, {'subject': 'Japanese'}, {'subject': 'Latin'}, {'subject': 'Lithuanian'}, {'subject': 'Malagasy'}, {'subject': 'Dutch'}, {'subject': 'Norvegian'}, {'subject': 'Polish'}, {'subject': 'Portuguese'}, {'subject': 'Russian'}, {'subject': 'Serbo Croatian'}, {'subject': 'Swedish'}, {'subject': 'Turkish'}]",,
-10.5281/zenodo.10674398,easystats/performance: performance 0.10.9,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"Changes
-
-
-
-
-r2() for models of class glmmTMB without random effects now returns the
-correct r-squared value for non-mixed models.
-
-
-
-check_itemscale() now also accepts data frames as input. In this case,
-factor_index must be specified, which must be a numeric vector of same
-length as number of columns in x, where each element is the index of the
-factor to which the respective column in x.
-
-
-
-check_itemscale() gets a print_html() method.
-
-
-
-Clarification in the documentation of the estimator argument for
-performance_aic().
-
-
-
-Improved plots for overdispersion-checks for negative-binomial models from
-package glmmTMB (affects check_overdispersion() and check_mnodel()).
-
-
-
-Improved detection rates for singularity in check_singularity() for models
-from package glmmTMB.
-
-
-
-For model of class glmmTMB, deviance residuals are now used in the
-check_model() plot.
-
-
-
-Improved (better to understand) error messages for check_model(),
-check_collinearity() and check_outliers() for models with non-numeric
-response variables.
-
-
-
-r2_kullback() now gives an informative error for non-supported models.
-
-
-
-Bug fixes
-
-
-
-
-Fixed issue in binned_residuals() for models with binary outcome, where
-in rare occasions empty bins could occur.
-
-
-
-performance_score() should no longer fail for models where scoring rules
-can't be calculated. Instead, an informative message is returned.
-
-
-
-check_outliers() now properly accept the percentage_central argument when
-using the ""mcd"" method.
-
-
-
-Fixed edge cases in check_collinearity() and check_outliers() for models
-with response variables of classes Date, POSIXct, POSIXlt or difftime.
-
-
-
-Fixed issue with check_model() for models of package quantreg.",api,True,findable,0,0,0,1,0,2024-02-17T18:09:47.000Z,2024-02-17T18:09:47.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10276481,Bathymetry of Bossons Lake of 26 June 2023,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,Bathymetry of the Bossons lake done the 26 June 2023.Â ,api,True,findable,0,0,0,0,0,2023-12-06T10:42:06.000Z,2023-12-06T10:42:07.000Z,cern.zenodo,cern,,,,
-10.18709/perscido.2023.04.ds391,Snow status (wet/dry) in Antarctica from AMSR-E and AMSR2 passive microwave radiometers 2002 â€“ 2023,PerSCiDO,2023,,Dataset,,"The dataset provides daily binary status (wet/dry) of the snowpack for each pixel at 12.5 km resolution in Antarctica over more than 20 years. This status is retrieved from passive microwave observations at 19 GHz and horizontal polarisation, using an algorithm developed by Torinesi et al. 2013 and Picard and Fily, 2006. The dataset merge the two timeseries from AMSR-E and AMSR2 sensors. The effective resolution of about ~25 km. There is a gap in 2011/2012 between AMSR-E and AMSR2. The ascending (afternoon) and descending (midnight) passes are provided separately.",api,True,findable,0,0,0,1,0,2023-04-26T19:44:58.000Z,2023-04-26T19:44:58.000Z,inist.persyval,vcob,"glaciology,Environmental Science and Ecology","[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['100 Mo'],['netcdf']
-10.5281/zenodo.7418361,Southwest Greenland Ice Sheet Yearly Ice Velocities dataset from 1984 to 2020,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The present dataset is published after the work of Paul Halas, JÃ©rÃ©mie Mouginot, Basile de Fleurian and Petra Langebroek on the Southwest of the Greenland Ice Sheet. It provides ice velocity products derived using the processing chain developped by JÃ©rÃ©mie Mouginot and collaborators, following the steps described in Romain Millanâ€™s paper â€Mapping Surface Flow Velocity of Glaciers at Regional Scale Using a Multiple Sensors Approachâ€ (https://doi.org/10.3390/rs11212498). In order to derive the velocity fields, we used all available imagery from Landsat 5, Landsat 7 and Landsat 8, from 1984 up to 2021, with less than 40% cloud coverage. Unfortunately, no data was collected for 1984, 1993, 1996, 1997 and 1998. Please also note that the spatial coverage is really limited before 1999. From 2016, satellite imagery from Sentinel-2 is also used, improving the spatial coverage of our velocity maps.<br> In this archive, we provide:<br> â€¢ Complete dataset of all velocity fields derived from every image pair;<br> â€¢ Yearly median results run through all data for every single pixel;<br> â€¢ Yearly GeoTIFF spatial aggregate of all previously computed medians;<br> â€¢ The shapefile â€cube grid.shpâ€ describing the grid used for our area. For any question, please contact Paul Halas (paul.halas@uib.no).",mds,True,findable,0,0,0,0,0,2022-12-09T18:46:51.000Z,2022-12-09T18:46:52.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7790110,Oxygen-induced chromophore degradation in the photoswitchable red fluorescent protein rsCherry,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Source data for figure 1, figure 3a, and supplementary figure 1.",mds,True,findable,0,0,0,0,0,2023-03-31T21:37:12.000Z,2023-03-31T21:37:12.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.22027566,Studentsâ€™ and tutorsâ€™ experiences of remote â€˜studentâ€“patientâ€™ consultations,Taylor & Francis,2023,,Text,Creative Commons Attribution 4.0 International,"Remote consulting has become part of the medical student clinical experience in primary care, but little research exists regarding the impact on learning. To describe the experiences of General Practitioner (GP) educators and medical students in using student-led remote consultations as an educational tool. A qualitative, explorative study conducted at four UK medical schools. GP educators and medical students were purposively sampled and interviewed. Nine themes arose: practical application, autonomy, heuristics, safety, triage of undifferentiated patients, clinical reasoning, patient inclusion in student education, studentâ€“patient interaction, and studentâ€“doctor interaction. Remote consulting has become part of the clinical placement experience. This has been found to expose students to a wider variety of clinical presentations. Verbal communication, history-taking, triage, and clinical reasoning skills were practised through remote consulting, but examination skills development was lacking. Students found building rapport more challenging, although this was mitigated by having more time with patients. Greater clinical risk was perceived in remote consulting, which had potential to negatively impact studentsâ€™ psychological safety. Frequent debriefs could ameliorate this risk and positively impact studentâ€“doctor relationships. Student autonomy and independence increased due to greater participation and responsibility. Pre-selection of patients could be helpful but had potential to expose students to lower complexity patients. Practice pointsRemote consulting confers unique educational benefits.Remote consulting can help develop history-taking and communication skills, as well as clinical reasoning skills.The psychological safety of the student and the supervisory risk of the tutor can be impacted by remote consulting, but frequent debriefs between the student and tutor can help mitigate this risk.Learning how to conduct remote, and face-to-face consultations is important in medical education. Practice points Remote consulting confers unique educational benefits. Remote consulting can help develop history-taking and communication skills, as well as clinical reasoning skills. The psychological safety of the student and the supervisory risk of the tutor can be impacted by remote consulting, but frequent debriefs between the student and tutor can help mitigate this risk. Learning how to conduct remote, and face-to-face consultations is important in medical education.",mds,True,findable,0,0,0,1,0,2023-02-06T19:20:05.000Z,2023-02-06T19:20:05.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Biotechnology,Science Policy,Mental Health,Hematology,Plant Biology,FOS: Biological sciences","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}, {'subject': 'Plant Biology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['17511 Bytes'],
-10.17178/amma-catch.ce.run_odc,"Surface water dataset (river discharge), of the Nalohou watershed (16 ha), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2012,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of discharge at a 1st order catchment with a bas-fond at hillslope scale on association with others measurements (ground water levels in bas-fond, gravimeter on the top of the hillslope, flux tower)) contributing to close the surface water budget. Data will be used to validate hydrological modelling. The electrical conductivity of water is an integrative measure that allows documentation of the origin of waters (rainfall, surface and sub-surface runoff, watertable drainage).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:02.000Z,2018-03-16T15:37:02.000Z,inist.osug,jbru,"Discharge,Sudanian climate,Discharge/Flow (5 minutes)","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow (5 minutes)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.61089,The Debsources Dataset: Two Decades Of Free And Open Source Software,Zenodo,2016,,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","This is the Debsources Dataset: source code and related metadata spanning two decades of Free and Open Source Software (FOSS) history, seen through the lens of the Debian distribution.
-
-The dataset spans more than 3 billion lines of source code as well as metadata about them such as: size metrics (lines of code, disk usage), developer-defined symbols (ctags), file-level checksums (SHA1, SHA256, TLSH), file media types (MIME), release information (which version of which package containing which source code files has been released when), and license informa-<br>
-tion (GPL, BSD, etc).
-
-The Debsources Dataset comes as a set of tarballs containing deduplicated unique source code files organized by their SHA1 checksums (the source code), plus a portable PostgreSQL database dump (the metadata).
-
-The Debsources Dataset is described in full in the paper The Debsources Dataset: Two Decades of Free and Open Source Software, published on the Empirical Software Engineering journal with DOI 10.1007/s10664-016-9461-5 . A preprint of the paper is available at https://upsilon.cc/~zack/research/publications/debsources-ese-2016.pdf .",,True,findable,1,0,0,0,0,2016-08-29T13:52:40.000Z,2016-08-29T13:52:40.000Z,cern.zenodo,cern,"debian,open source,free software,source code,software evolution","[{'subject': 'debian'}, {'subject': 'open source'}, {'subject': 'free software'}, {'subject': 'source code'}, {'subject': 'software evolution'}]",,
-10.17178/emaa_para-nh3_hyperfine_1be97812,Hyperfine excitation of para-NH3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",48 hyperfine energy levels / 115 radiative transitions / 1127 collisional transitions for para-H2 (11 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:22.000Z,2023-12-07T15:52:23.000Z,inist.osug,jbru,"target para-NH3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_gs_20161209_001,Ag K edge XAS fluorescence of frozen Ag malate solution,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:11:35.000Z,2019-12-05T14:11:35.000Z,inist.sshade,mgeg,"laboratory,molecular solid solution,Frozen Ag malate solution,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'laboratory'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen Ag malate solution'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_lb_20210512_001,"Vis-IR reflectance spectra (i=0Â°, e=30Â°, az=0Â°) of bulk (powders or raw pieces) Martian meteorites",SSHADE/ROMA+GhoSST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-IR reflectance spectra (i=0Â°, e=30Â°, az=0Â°) of bulk (powders or raw pieces) Martian meteorites (6 basaltic shergottites + 4 phyric shergottites + 4 poikilitic shergottites + 3 Opx-phyric shergottites + 5 Nakhlites + 1 chassignite + 1 Orthopyroxenite + 1 augite-rich basalt and 1 breccia)",mds,True,findable,0,0,0,0,0,2021-05-19T14:00:02.000Z,2021-05-19T14:00:04.000Z,inist.sshade,mgeg,"extraterrestrial,martian,shergottite,inosilicate,pyroxene,nesosilicate,olivine,tektosilicate,plagioclase,not classified,nacklite,chassignite,orthopyroxenite,basalt,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'martian'}, {'subject': 'shergottite'}, {'subject': 'inosilicate'}, {'subject': 'pyroxene'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclase'}, {'subject': 'not classified'}, {'subject': 'nacklite'}, {'subject': 'chassignite'}, {'subject': 'orthopyroxenite'}, {'subject': 'basalt'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['28 spectra'],['ASCII']
-10.26302/sshade/experiment_tg_20181312_002,Mid-IR absorbance spectra evolution of tholins thin film (95%N2:5%CH4) upon X-Ray irradiation,SSHADE/SPAN (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Mid-IR absorbance spectra evolution of tholins thin film upon X-Ray irradiation at different durations,mds,True,findable,0,0,0,0,0,2020-06-26T06:48:14.000Z,2020-06-26T06:48:15.000Z,inist.sshade,mgeg,"laboratory,complex macromolecular mixture,Tholins Film for X-ray irradiation LATMOS 95%N2:5%CH4,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance","[{'subject': 'laboratory'}, {'subject': 'complex macromolecular mixture'}, {'subject': 'Tholins Film for X-ray irradiation LATMOS 95%N2:5%CH4'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['6 spectra'],['ASCII']
-10.26302/sshade/experiment_rb_20130101_003,"Ion irradiation ($He^+$, $Ar^+$) of an Allende meteorite pellet probed by IR spectroscopy in the MIR range",SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR spectra of pellet nÂ°2 of the Allende meteorite, with different irradiation spots on the surface.",mds,True,findable,0,0,0,0,0,2022-05-27T17:03:03.000Z,2022-05-27T17:03:04.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CV,complex organic-mineral mix,matrix Allende,complex mineral mix,chondrules Allende,CAIs Allende,laboratory measurement,confocal reflection,micro-imaging,MIR,Mid-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CV'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Allende'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Allende'}, {'subject': 'CAIs Allende'}, {'subject': 'laboratory measurement'}, {'subject': 'confocal reflection'}, {'subject': 'micro-imaging'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'reflectance factor'}]",['3 spectra'],['ASCII']
-10.18709/perscido.2023.06.ds395,The Tour Perret LoRaWAN frames dataset,PerSCiDO,2023,,Dataset,,"The dataset contains LoRaWAN frames sent by five LoRaWAN endpoints installed on the top of Tour Perret in Grenoble, France. It contains 421937 messages received between June 2021 and June 2023 (2 years) by LoRa gateways installed  in the Grenoble area by the LIG.",api,True,findable,0,0,0,0,0,2023-06-28T11:23:03.000Z,2023-06-28T11:23:03.000Z,inist.persyval,vcob,"Information Technology,Computer Science","[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}, {'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['100 Mo'],['JSON']
-10.5281/zenodo.3606016,Modifications of the plant-pollinator network structure and species' roles along a gradient of urbanization,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This file includes data and codes used in the article titled: "" Modifications of the plant-pollinator network structure and speciesâ€™ roles along a gradient of urbanization"". Data include plant-pollinator interactions sampled in each site (1-12) at each sampling event (6 events) in the three urbanization classes (low, medium, high). Each row is a single insect pollinator X plant interaction. Full species names and abbreviations used in figures in the Supplementary Information are reported.<br> The data file is .txt with tab-separated values.",mds,True,findable,1,0,0,0,0,2020-01-13T10:19:33.000Z,2020-01-13T10:19:34.000Z,cern.zenodo,cern,"bees, beta-diversity, conservation biology, global changes, hoverflies, interaction diversity, land-use change, motifs, mutualistic networks, pollinators, plant-pollinator interactions, urbanization","[{'subject': 'bees, beta-diversity, conservation biology, global changes, hoverflies, interaction diversity, land-use change, motifs, mutualistic networks, pollinators, plant-pollinator interactions, urbanization'}]",,
-10.17178/cryobsclim.clb.col,"Col, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2010,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate â€“ Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:35.000Z,2018-04-09T10:16:35.000Z,inist.osug,jbru,"Wind speed,Wind direction,Snow depth,Blowing snow flux","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Snow depth', 'subjectScheme': 'main'}, {'subject': 'Blowing snow flux', 'subjectScheme': 'main'}]",,['CSV']
-10.25384/sage.c.6772590,Beyond atezolizumab plus bevacizumab in patients with advanced hepatocellular carcinoma: overall efficacy and safety of tyrosine kinase inhibitors in a real-world setting,SAGE Journals,2023,,Collection,Creative Commons Attribution 4.0 International,"Background:In patients with advanced hepatocellular carcinoma (HCC) progressing after atezolizumab and bevacizumab, the optimal therapeutic sequence is still unclear and no second-line agent has proven its efficacy.Objectives:The aim of this retrospective multicenter real-world cohort study was to provide an evaluation of the efficacy and safety of the use of second-line tyrosine kinase inhibitors (TKIs) in this population.Methods:All patients with advanced HCC, treated in first-line setting by atezolizumabâ€“bevacizumab, and who received at least one dose of treatment with TKI were included in this study. All the data were retrospectively collected from medical records. The primary outcome was progression-free survival (PFS). Secondary outcomes were overall survival (OS), overall global survival (OGS), and safety. A total of 82 patients were included in this study.Results:Patients were assigned to the regorafenib group (<i>n</i> = 29, 35.4%) or other TKI (sorafenib <i>n</i> = 41, lenvatinib <i>n</i> = 8, or cabozantinib <i>n</i> = 4) group (<i>n</i> = 53). PFS was not significantly different between the two groups [2.6 <i>versus</i> 2.8 months, HR 1.07 (95% CI: 0.61â€“1.86), <i>p</i> = 0.818]. Median PFS rates were 2.6, 4.4, and 2.8 months in sorafenib-, lenvatinib-, and cabozantinib group, respectively. OS was statistically different between the regorafenib group and other TKI group [15.8 <i>versus</i> 7.0 months, HR 0.40 (95% CI: 0.20â€“0.79), <i>p</i> = 0.023]. When adjusting on confounding factors, there was still a difference in OS favoring the regorafenib group (adjusted hazard ratio 0.35, <i>p</i> = 0.019). OGS of patients who received regorafenib was improved compared to other TKI [18.6 <i>versus</i> 15.0 months, HR 0.42 (95% CI: 0.22â€“0.84), <i>p</i> = 0.036]. Twenty percent of patients had grade 3 and none had grade 4 or 5 adverse events. In patients who experienced disease progression and fit for a third-line treatment, 80% and 50% received cabozantinib in regorafenib group and other TKI group, respectively.Conclusion:Efficacy of any TKI in the second-line setting was not affected by atezolizumabâ€“bevacizumab treatment as first-line therapy. The safety profile in the second-line setting was consistent with the results shown in pivotal studies. PFS rates of patients were similar, regardless of TKI type. Regorafenib was associated with better OS and OGS rates compared to other TKI. These data need to be confirmed in prospective comparative studies.",mds,True,findable,0,0,0,0,0,2023-08-03T00:08:51.000Z,2023-08-03T00:08:52.000Z,figshare.sage,sage,"Oncology and Carcinogenesis not elsewhere classified,Aged Health Care,Pharmacology and Pharmaceutical Sciences not elsewhere classified,Respiratory Diseases","[{'subject': 'Oncology and Carcinogenesis not elsewhere classified'}, {'subject': 'Aged Health Care'}, {'subject': 'Pharmacology and Pharmaceutical Sciences not elsewhere classified'}, {'subject': 'Respiratory Diseases'}]",,
-10.26302/sshade/experiment_zy_20180212_000,VIS-NIR reflectance spectra of CO2 ice particles produced by crushing and sieving a compact slab of CO2 ice,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",The VIS-NIR reflectance spectrum of a piece of compact CO2 ice slab (commercial sample) was measured as well as the spectra of different particle size fractions of crushed CO2 ice produced by crushing the compact ice and dry sieving the powder. Vis multispectral + NIR low resolution and Vis-NIR high resolution spectra.,mds,True,findable,0,0,0,0,0,2023-04-28T13:48:34.000Z,2023-04-28T13:48:35.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,solid CO2,solid,commercial,laboratory,inorganic molecular solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'reflectance factor', 'subjectScheme': 'var'}, {'subject': 'solid CO2', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}]",['8 spectra'],['ASCII']
-10.26302/sshade/bandlist_abs_so2_so2-i,Absorption band list of SO2 in natural solid SO2 (phase I),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","FIR-MIR-NIR absorption band list of $SO_2$ in natural solid $SO_2$ (phase I) at 20, 90 and 125 K",mds,True,findable,0,0,0,0,0,2023-04-21T07:12:29.000Z,2023-04-21T07:12:30.000Z,inist.sshade,mgeg,"natural SO2 - phase I,Sulfur dioxide,Sulfur dioxide phase I,Phase I,Sulfur dioxide,7446-09-5,SO2,polar molecular solid,molecular solids with polar molecules,inorganic molecular solid,absorption,FIR,MIR,NIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural SO2 - phase I', 'subjectScheme': 'name'}, {'subject': 'Sulfur dioxide', 'subjectScheme': 'name'}, {'subject': 'Sulfur dioxide phase I', 'subjectScheme': 'name'}, {'subject': 'Phase I', 'subjectScheme': 'name'}, {'subject': 'Sulfur dioxide', 'subjectScheme': 'IUPAC name'}, {'subject': '7446-09-5', 'subjectScheme': 'CAS number'}, {'subject': 'SO2', 'subjectScheme': 'formula'}, {'subject': 'polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with polar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5281/zenodo.7627946,Geometrical effects on the downstream conductance in quantum-Hall--superconductor hybrid systems (code),Zenodo,2023,,Software,Open Access,"Code used in the paper: A. David, J. S. Meyer, and M. Houzet, Geometrical effects on the downstream conductance in quantum-Hall--superconductor hybrid systems, Phys. Rev. B <strong>107</strong>, 125416 (2023). https://journals.aps.org/prb/abstract/10.1103/PhysRevB.107.125416",mds,True,findable,0,0,0,1,0,2023-02-10T09:06:08.000Z,2023-02-10T09:06:08.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_para-h2co_rotation_0b3b04a6,Rotation excitation of para-H2CO by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",41 rotation energy levels / 115 radiative transitions / 820 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 820 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:02.000Z,2021-11-17T14:02:04.000Z,inist.osug,jbru,"target para-H2CO,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.7122113,"New insights into the decadal variability in glacier volume of a tropical ice-cap explained by the morpho-topographic and climatic context, Antisana, (0Â°29' S, 78Â°09' W)",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The dataset contains five periods of surface elevation change observed on the Antisana icecap in the inner tropical region. Data were obtained by geodetic observations of aerial photographs and high-resolution satellite images for the study periods: 1956-1965, 1965-1979, 1979-1997, 1997-2009, and 2009-2016.",mds,True,findable,0,0,0,0,0,2022-09-29T04:18:20.000Z,2022-09-29T04:18:20.000Z,cern.zenodo,cern,"Geodetic Mass Balance,Tropical Glaciers,Climate variability","[{'subject': 'Geodetic Mass Balance'}, {'subject': 'Tropical Glaciers'}, {'subject': 'Climate variability'}]",,
-10.26302/sshade/bandlist_raman_ch3cn_alpha-ch3cn,Raman band list of CH3CN in natural solid CH3CN (phase alpha),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",FIR-MIR Raman band list of $CH_3CN$ in natural solid $CH_3CN$ (phase alpha) at 80 K,mds,True,findable,0,0,0,0,0,2023-04-21T07:13:20.000Z,2023-04-21T07:13:21.000Z,inist.sshade,mgeg,"natural CH3CN - phase alpha,Acetonitrile,alpha-Acetonitrile,alpha-acetonitrile (phase II),Acetonitrile,75-05-8,CH3CN,polar molecular solid,molecular solids with polar molecules,nitrile,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural CH3CN - phase alpha', 'subjectScheme': 'name'}, {'subject': 'Acetonitrile', 'subjectScheme': 'name'}, {'subject': 'alpha-Acetonitrile', 'subjectScheme': 'name'}, {'subject': 'alpha-acetonitrile (phase II)', 'subjectScheme': 'name'}, {'subject': 'Acetonitrile', 'subjectScheme': 'IUPAC name'}, {'subject': '75-05-8', 'subjectScheme': 'CAS number'}, {'subject': 'CH3CN', 'subjectScheme': 'formula'}, {'subject': 'polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with polar molecules', 'subjectScheme': 'class'}, {'subject': 'nitrile', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.26302/sshade/experiment_gm_20190903_001,Raman spectra of some phyllosilicates,SSHADE/REAP (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-05-13T07:46:23.000Z,2021-05-13T07:46:24.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Antigorite,Hectorite,Kaolinite,Lizardite,Montmorillonite,Muscovite,Saponite,Talc,Vermiculite,laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,FIR,Far-Infrared,normalized Raman scattering intensity","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Antigorite'}, {'subject': 'Hectorite'}, {'subject': 'Kaolinite'}, {'subject': 'Lizardite'}, {'subject': 'Montmorillonite'}, {'subject': 'Muscovite'}, {'subject': 'Saponite'}, {'subject': 'Talc'}, {'subject': 'Vermiculite'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'normalized Raman scattering intensity'}]",['20 spectra'],['ASCII']
-10.18709/perscido.2019.10.ds267,Benchmark MODECOGeL,PerSciDo,2019,en,Dataset,,A global sensitivity analysis approach for marine biogeochemical modeling,fabrica,True,findable,0,0,0,0,0,2019-10-18T12:55:06.000Z,2019-10-18T12:55:07.000Z,inist.persyval,vcob,"Computer Science,Mathematics,FOS: Mathematics,FOS: Mathematics,Biochemistry","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Biochemistry'}]",['6.1 GB'],['zip']
-10.26302/sshade/experiment_ak_20141102_1,Mid-infrared attenuated total reflectance experiment with Na+ exchanged less 1 Î¼m size fraction of montmorillonite (SCa-3) equilibrated with H2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-18T08:29:25.000Z,2019-11-18T08:29:26.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Na-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm,liquid,H2O deionized,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'H2O deionized'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['6 spectra'],['ASCII']
-10.17178/amma-catch.cl.rain_o,"Precipitation dataset (5 minutes rainfall), 30 long-term stations over the upper Oueme watershed (14 000 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the soudanian zone. The aim is to characterize the temporal and spatial variability of rainfall at meso-scale, with a good resolution of the convective scale patterns. Data is used in modelling and assimilation activities, process studies as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:15.000Z,2018-03-16T15:37:16.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sudanian climate,Precipitation Amount (previous hour),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.8388930,Sneaked references: Cooked reference metadata inflate citation counts,Zenodo,2023,en,Software,"Creative Commons Attribution 4.0 International,Open Access","Supplementary materials of the manuscript titled â€œSneaked references: Cooked reference metadata inflate citation counts.""",mds,True,findable,0,0,0,0,0,2023-10-03T13:38:45.000Z,2023-10-03T13:38:46.000Z,cern.zenodo,cern,"sneaked references,undue citations,citation manipulation,metadata registration,bibliometrics,research evaluation","[{'subject': 'sneaked references'}, {'subject': 'undue citations'}, {'subject': 'citation manipulation'}, {'subject': 'metadata registration'}, {'subject': 'bibliometrics'}, {'subject': 'research evaluation'}]",,
-10.5281/zenodo.10551645,Data for the Discrete Image correlation tutorial of spam,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Data and folder structure for the Discrete Image Correlation tutorial of spam available here: spam DDIC tutorial.Â 
-
-The objective of the tutorial is to measure particle kinematics (i.e., particle tracking) with the scripts available in spam. The data used is from a study on granular materials using x-ray tomography, available here: Article. The experiment is called LENGP04, and correspond to a cylinder full of lentils initially oriented at 45Â° and deformed under triaxial compression. Repeated x-ray tomography scans are taken each 1% of axial shortening.Â The data of the tutorial correspond to the grey-scale volumes of the first six scans, (fromÂ LENGP04_00.tif to LENGP05_00.tif), as well as the segmentation of the initial scan (LENGP04_00-lab.tif).
-
-The complete dataset with the grey-scale volumes for all the specimens of the experimental campaign, along with the processed results, is available here: Zenodo link.",api,True,findable,0,0,0,0,0,2024-01-22T14:58:26.000Z,2024-01-22T14:58:27.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8314813,"Supplementary data for ""Ecological assessment of combined sewer overflow management practices through the analysis of benthic and hyporheic sediment bacterial assemblages of an intermittent stream""",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","<strong>Supplementary data for the Pozzi <em>et al.</em> paper entitled ""Ecological assessment of combined sewer overflow management practices through the analysis of benthic and hyporheic microbial assemblages and a tracking of exogenous bacterial taxa in a peri-urban intermittent stream"".</strong> # Created by Dr Adrien C. MEYNIER POZZI on June, 29th, 2023<br> # Part of DOmic research project funded by the Agence de lâ€™Eau - RhÃ´ne MÃ©diterranÃ©e Corse [AE-RMC, Project 2020 0702 DOmic, 2020-2023], and of the DOmic extension funded by the EUR H2O'Lyon [ANR-17-EURE-0018] of UniversitÃ© de Lyon<br> # Part of the Chaudanne river long-term experiment site belonging to the Observatoire de Terrain en Hydrologie Urbaine (OTHU)<br> # Part of the work conducted in the team on Opportinistic Bacterial Pathogen in the Environment (BPOE) led by Dr. Benoit Cournoyer<br> # Samples were obtained in 2 campaigns, corresponding to periods before (2010-2011) or after (2018) the implementation of the 91/271/EEC European Directive that limited Combined-Sewer Overflow (CSO) discharges to the Chaudanne river<br> # Samples consisted in surface water, benthic and hyporheic sediments taken in run, riffle and pool geomorphologic features, either upstream or downstream the CSO outlet, plus positive and negative controls <strong>Metadata. Name and description of data tables provided as supplementary information</strong> <strong>Data Name</strong> <strong>Description</strong> Data S1. River hydrology variables and hydraulic gradients at surveyed transects Array to describe the hydrologic variables and gradients at the studied transects. Top line is header, second line is metadata for each recorded variable, and third line is the unit of the variable, if any. Data S2. Environmental variables (water physical-chemistry, nutrients, FIBs, MTEs, PAHs) with metadata An array to list environmental variables for all true samples (n=90) included in the study. Sample identifiers and dates are provided. First 8 rows list the CAS number, SANDRE number, unit, method, limit of quantification and norm for each variable, if any. Data S3. Hydrological indices and synthetic variables computed with ClustOfVar Hydrological indices computed for the river flow, precipitations and CSO overflows computed over a 3-week period preceding each sampling date. Data S4. Discharge events selected to compute CSO dilution ratios An array to describe CSO events included for the computation of the CSO dilution ratio (SI Data 6A) together with 6 tables and 3 figures (SI Data 6B to 6J) describing the CSO event ratio all year round over the studied period, as well as for events that occurred before or after the CSO was modified and during low flow or high flow season. In SI Data 6A, top line is header and second line is metadata for each recorded variable. Data S5. Raw environmental matrix for use in R An array to list experimental design and environmental variables for all true samples and controls. Several environmental variables were synthetized using the ClustOfVar method (Chavent et al (2012) 10.18637/jss.v050.i13). Format is directly usable in R software.",mds,True,findable,0,0,0,0,0,2023-09-04T10:16:14.000Z,2023-09-04T10:16:14.000Z,cern.zenodo,cern,"intermittent stream,fluvial geomorphology,hydrology,microbiology,chemical pollutants,Combined-Sewer Overflow","[{'subject': 'intermittent stream'}, {'subject': 'fluvial geomorphology'}, {'subject': 'hydrology'}, {'subject': 'microbiology'}, {'subject': 'chemical pollutants'}, {'subject': 'Combined-Sewer Overflow'}]",,
-10.6084/m9.figshare.23822157,Dataset for the replication experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,Data for the replication experiment in CSV format.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:27.000Z,2023-08-02T11:18:27.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['3105 Bytes'],
-10.5281/zenodo.4139737,"Radiation data (2014-2019) at site D17 (Adelie Land, East Antarctica)",Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",This dataset reports raw half-hourly radiative fluxes acquired at site D17 on the marginal slopes of Adelie Land (East Antarctica) and complements another dataset on near-surface meteorological variables including drifting-snow mass fluxes at the same location. The available data have been measured almost continuously since mid February 2014 with a Kipp and Zonen CNR4 net radiometer installed 2 m above ground and include downward/upward shortwave/longwave radiation. Latitude: 66.7Â°S ; Longitude 139.9Â°E Date/Time (UTC): Start:2014-02-18 06:00 ; End: 2019-12-07 23:30 Elevation 450 m The data files contain the following variables and units: YYYY: year; MM: month; DD: day; hh: hour; mm: minute; SWU: upward shortwave radiation (W m<sup>-2</sup>); SWD: downward shortwave radiation (W m<sup>-2</sup>); LWU: upward longwave radiation (W m<sup>-2</sup>); LWD: downward longwave radiation (W m<sup>-2</sup>);,mds,True,findable,0,0,0,0,0,2020-10-28T08:14:52.000Z,2020-10-28T08:14:53.000Z,cern.zenodo,cern,Antarctic climate - radiative fluxes,[{'subject': 'Antarctic climate - radiative fluxes'}],,
-10.15778/resif.9c2019,"COPIACO temporary deployment around Copiapo, Chili (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2023,,Dataset,,"Slow-slip events have recently been detected along the Chilean subduction in the Atacama region (Klein et al., GRL 2018). To monitor the seismicity associated with such events, we have deployed 3 broadband stations to complete the chilean network in the region. These stations will be on the field for three years (the end of the deployment is planed in 2022).",mds,True,findable,0,0,0,0,0,2021-12-06T16:50:02.000Z,2021-12-06T16:53:51.000Z,inist.resif,vcob,"Seismology,Chilean subduction zone,Atacama","[{'subject': 'Seismology'}, {'subject': 'Chilean subduction zone'}, {'subject': 'Atacama'}]","['3 stations, 31Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.26302/sshade/bandlist_abs_s2o_ar-matrix,Absorption band list of S2O in Ar matrix,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR absorption band list of the isotopes of $S_2O$ in Ar matrix,mds,True,findable,0,0,0,0,0,2023-05-13T13:38:28.000Z,2023-05-13T13:38:29.000Z,inist.sshade,mgeg,"natural $S_2O$ in Ar matrix,Argon,Disulfur monoxide,solid alpha Argon,$\alpha$-phase,Argon,Disulfur monoxide,7440-37-1,20901-21-7,Ar,S2O,tridimentional covalent network solid,molecular solids with apolar molecules,elemental solid,absorption,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural $S_2O$ in Ar matrix', 'subjectScheme': 'name'}, {'subject': 'Argon', 'subjectScheme': 'name'}, {'subject': 'Disulfur monoxide', 'subjectScheme': 'name'}, {'subject': 'solid alpha Argon', 'subjectScheme': 'name'}, {'subject': '$\\alpha$-phase', 'subjectScheme': 'name'}, {'subject': 'Argon', 'subjectScheme': 'IUPAC name'}, {'subject': 'Disulfur monoxide', 'subjectScheme': 'IUPAC name'}, {'subject': '7440-37-1', 'subjectScheme': 'CAS number'}, {'subject': '20901-21-7', 'subjectScheme': 'CAS number'}, {'subject': 'Ar', 'subjectScheme': 'formula'}, {'subject': 'S2O', 'subjectScheme': 'formula'}, {'subject': 'tridimentional covalent network solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'elemental solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.17178/emaa_(38ar)h-plus_rotation_4186bb1b,Rotation excitation of [38Ar]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 66 collisional transitions for H (34 temperatures in the range 10-1000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:33.000Z,2021-11-18T13:34:33.000Z,inist.osug,jbru,"target [38Ar]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [38Ar]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-nh2d_rotation_bc5106bb,Rotation excitation of para-NH2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",79 rotation energy levels / 428 radiative transitions / 3081 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 3081 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:14.000Z,2021-11-17T14:02:15.000Z,inist.osug,jbru,"target para-NH2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.6084/m9.figshare.16851105,Additional file 20 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 20: Table S3. Characteristics of the 526 human breast tumor cohort.,mds,True,findable,0,0,93,1,0,2021-10-22T04:05:31.000Z,2021-10-22T04:05:32.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['51712 Bytes'],
-10.5061/dryad.6gc6h,Data from: Development of an Arabis alpina genomic contig sequence dataset and application to single nucleotide polymorphisms discovery,Dryad,2013,en,Dataset,Creative Commons Zero v1.0 Universal,"The alpine plant Arabis alpina is an emerging model in the ecological genomic field which is well-suited to identifying the genes involved in local adaptation in contrasted environmental conditions, a subject which remains poorly understood at molecular level. This paper presents the assembly of a pool of A. alpina genomic fragments using Next Generation Sequencing technologies. These contigs cover 172 Mb of the A. alpina genome (i.e. 50% of the genome) and were shown to contain sequences giving positive hits against 96% of the 458 CEGMA core genes (Core Eukaryotic Genes Mapping Approach), a set of highly conserved eukaryotic genes. Regions presenting high nucleic sequence identity with 77% of the close relative Arabidopsis thaliana's genes were found, with an unbiased distribution across the different functional categories of A. thaliana genes. This new resource was tested using a resequencing assay to identify polymorphic sites. Sixteen samples were successfully analyzed and 127,041 Single Nucleotide Polymorphisms identified. This contig dataset will contribute to improving understanding of the ecology of Arabis alpina, thus constituting an important resource for future ecological genomic studies.",mds,True,findable,601,179,1,1,0,2013-10-14T14:23:52.000Z,2013-10-14T14:23:54.000Z,dryad.dryad,dryad,"Genomics/Proteomics,Bioinfomatics/Phyloinfomatics","[{'subject': 'Genomics/Proteomics'}, {'subject': 'Bioinfomatics/Phyloinfomatics'}]",['611063794 bytes'],
-10.26302/sshade/experiment_lb_20191220_001,"NIR reflectance spectrum (i=0Â°, e=30Â°) of bulk CV chondrites under vacuum at T = 80Â°C",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR reflectance spectra (i = 0Â°, e=30Â°) of bulk CV chondrites (CVRed, CVOxA, CVOxB) under vacuum at T = 80Â°C",mds,True,findable,0,0,0,0,0,2020-08-13T09:14:27.000Z,2020-08-13T09:14:28.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CV,complex organic-mineral mix,matrix ALHA81003,complex mineral mix,chondrules ALHA81003,CAIs ALHA81003,matrix GRA06101,chondrules GRA06101,CAIs GRA06101,matrix LAP02206,chondrules LAP02206,CAIs LAP02206,matrix MIL07002,chondrules MIL07002,CAIs MIL07002,matrix MIL07671,chondrules MIL07671,CAIs MIL07671,matrix MIL091010,chondrules MIL091010,CAIs MIL091010,matrix QUE94688,chondrules QUE94688,CAIs QUE94688,matrix ALH85006,chondrules ALH85006,CAIs ALH85006,matrix LAR06317,chondrules LAR06317,CAIs LAR06317,matrix MCY05219,chondrules MCY05219,CAIs MCY05219,matrix MET00761,chondrules MET00761,CAIs MET00761,matrix MET01074,chondrules MET01074,CAIs MET01074,matrix GRO95652,chondrules GRO95652,CAIs GRO95652,matrix MIL07277,chondrules MIL07277,CAIs MIL07277,matrix RBT04302,chondrules RBT04302,CAIs RBT04302,matrix Allende,chondrules Allende,CAIs Allende,matrix Axtell,chondrules Axtell,CAIs Axtell,matrix Grosnaja,chondrules Grosnaja,CAIs Grosnaja,matrix Kaba,chondrules Kaba,CAIs Kaba,matrix Mokoia,chondrules Mokoia,CAIs Mokoia,matrix Efremovka,chondrules Efremovka,CAIs Efremovka,matrix Leoville,chondrules Leoville,CAIs Leoville,matrix Vigarano,chondrules Vigarano,CAIs Vigarano,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CV'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix ALHA81003'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules ALHA81003'}, {'subject': 'CAIs ALHA81003'}, {'subject': 'matrix GRA06101'}, {'subject': 'chondrules GRA06101'}, {'subject': 'CAIs GRA06101'}, {'subject': 'matrix LAP02206'}, {'subject': 'chondrules LAP02206'}, {'subject': 'CAIs LAP02206'}, {'subject': 'matrix MIL07002'}, {'subject': 'chondrules MIL07002'}, {'subject': 'CAIs MIL07002'}, {'subject': 'matrix MIL07671'}, {'subject': 'chondrules MIL07671'}, {'subject': 'CAIs MIL07671'}, {'subject': 'matrix MIL091010'}, {'subject': 'chondrules MIL091010'}, {'subject': 'CAIs MIL091010'}, {'subject': 'matrix QUE94688'}, {'subject': 'chondrules QUE94688'}, {'subject': 'CAIs QUE94688'}, {'subject': 'matrix ALH85006'}, {'subject': 'chondrules ALH85006'}, {'subject': 'CAIs ALH85006'}, {'subject': 'matrix LAR06317'}, {'subject': 'chondrules LAR06317'}, {'subject': 'CAIs LAR06317'}, {'subject': 'matrix MCY05219'}, {'subject': 'chondrules MCY05219'}, {'subject': 'CAIs MCY05219'}, {'subject': 'matrix MET00761'}, {'subject': 'chondrules MET00761'}, {'subject': 'CAIs MET00761'}, {'subject': 'matrix MET01074'}, {'subject': 'chondrules MET01074'}, {'subject': 'CAIs MET01074'}, {'subject': 'matrix GRO95652'}, {'subject': 'chondrules GRO95652'}, {'subject': 'CAIs GRO95652'}, {'subject': 'matrix MIL07277'}, {'subject': 'chondrules MIL07277'}, {'subject': 'CAIs MIL07277'}, {'subject': 'matrix RBT04302'}, {'subject': 'chondrules RBT04302'}, {'subject': 'CAIs RBT04302'}, {'subject': 'matrix Allende'}, {'subject': 'chondrules Allende'}, {'subject': 'CAIs Allende'}, {'subject': 'matrix Axtell'}, {'subject': 'chondrules Axtell'}, {'subject': 'CAIs Axtell'}, {'subject': 'matrix Grosnaja'}, {'subject': 'chondrules Grosnaja'}, {'subject': 'CAIs Grosnaja'}, {'subject': 'matrix Kaba'}, {'subject': 'chondrules Kaba'}, {'subject': 'CAIs Kaba'}, {'subject': 'matrix Mokoia'}, {'subject': 'chondrules Mokoia'}, {'subject': 'CAIs Mokoia'}, {'subject': 'matrix Efremovka'}, {'subject': 'chondrules Efremovka'}, {'subject': 'CAIs Efremovka'}, {'subject': 'matrix Leoville'}, {'subject': 'chondrules Leoville'}, {'subject': 'CAIs Leoville'}, {'subject': 'matrix Vigarano'}, {'subject': 'chondrules Vigarano'}, {'subject': 'CAIs Vigarano'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['23 spectra'],['ASCII']
-10.15454/d3odjm,"Colisa, the collection of ichthyological samples.",Portail Data INRAE,2018,,Dataset,,"The collection of ichthyological samples, Colisa, results from the merging of historical samples collected by 3 INRA units (U3E in Rennes, ECOBIOP in Saint PÃ©e sur Nivelle and CARRTEL in Thonon les Bains) and AFB-INRA Pole Gestâ€™Aqua. These samples come from long term monitoring and research activities conducted by these units and from a national catch declaration scheme (angling and professional fishery). It consists of more than 200000 scales or other tissue samples of fish from 26 species collected in France over 50 years. Beyond age and growth, these samples, carrying DNA, allow genetic characterization of individuals or populations. Via microchemistry, they alos allow to characterize the trophic status and the environmental conditions of life of animals. The conservation of these tissues allow to investigate retrospective changes (global and local). Colisa is a part of BRC4env, one of the 5 specialized pillars of the French Research Infrastructure ""Agricultural Resources for Research"" (AgroBRC-RARe, http://www.enseignementsup-recherche.gouv.fr/cid99437/ressources-agronomiques-pour-la-recherche-rare.html) federating BRCs: animals as CRB-Anim, plant as CRB-Plantes, micro-organisms as CIRM, environmental resources as BRC4Env, and forests as CRB-Forets. BRC4Env includes BRCs and collections hosted by INRA, IRD, CIRAD, CNRS, technical and higher education institutions. (2018-09-20).",mds,True,findable,153,0,0,2,0,2018-09-20T15:17:20.000Z,2018-09-20T15:18:21.000Z,rdg.prod,rdg,,,,
-10.26302/sshade/bandlist_abs_co_alpha-co,Absorption band list of CO in natural solid CO (phase alpha),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",VUV-NIR-MIR-FIR absorption band list of the isotopes of $CO$ in natural solid $\alpha-CO$,mds,True,findable,0,0,0,0,0,2023-04-21T07:11:08.000Z,2023-04-21T07:11:09.000Z,inist.sshade,mgeg,"natural CO - phase alpha,Carbon monoxide,alpha Carbon Monoxide,$\alpha-CO$,Carbon monoxide,630-08-0,CO,polar molecular solid,molecular solids with polar molecules,inorganic molecular solid,absorption,VUV,NIR,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural CO - phase alpha', 'subjectScheme': 'name'}, {'subject': 'Carbon monoxide', 'subjectScheme': 'name'}, {'subject': 'alpha Carbon Monoxide', 'subjectScheme': 'name'}, {'subject': '$\\alpha-CO$', 'subjectScheme': 'name'}, {'subject': 'Carbon monoxide', 'subjectScheme': 'IUPAC name'}, {'subject': '630-08-0', 'subjectScheme': 'CAS number'}, {'subject': 'CO', 'subjectScheme': 'formula'}, {'subject': 'polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with polar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'VUV', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5281/zenodo.7249512,CMB heat flux PCA results,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Results of the CMB heat flux PCA from the Coltice et al. (2019) mantle convection model in the numpy (.npy) format. The PCA is computed on the snapshots of the simulations between 300 Myr and 1131 Myr in the simulation time. -avg_pattern.npy: Spherical harmonic decomposition of the CMB heat flux average pattern -patterns.npy: Spherical harmonic decomposition of the PCA components patterns -sing_val.npy: Singular value of the PCA components -weights.npy: Time dependent weights of the PCA components,mds,True,findable,0,0,0,0,0,2022-10-26T07:18:01.000Z,2022-10-26T07:18:02.000Z,cern.zenodo,cern,,,,
-10.17178/gnss.products.epos,GNSS position and velocity solutions calculated in the framework of the EPOS initiative,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)"". 
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset include all GNSS solutions processed by ISTerre in the framework of the EPOS initiative. These products are position time series (North, East and Vertical) and the horizontal and vertical velocity fields calculated from rinex files using the double difference method with GAMIT software.",mds,True,findable,0,0,0,0,0,2019-11-08T14:59:30.000Z,2019-11-08T14:59:31.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['sinex', 'pos', 'PBO']"
-10.6084/m9.figshare.16851132,Additional file 2 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Audiovisual,Creative Commons Attribution 4.0 International,Additional file 2: Movie 1. Videomicroscopy of control HeLa clones.,mds,True,findable,0,0,93,1,0,2021-10-22T04:06:52.000Z,2021-10-22T04:06:54.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['7577616 Bytes'],
-10.17178/gnss.products.epos.2019.rapid,GNSS positions calculated in the framework of the EPOS initiative with IGS rapid products,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)"". 
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset include all GNSS solutions processed by ISTerre with IGS rapid products in the framework of the EPOS initiative. These products are position time series (North, East and Vertical) calculated from rinex files using the double difference method with GAMIT software. These products are updated every day.",mds,True,findable,0,0,0,0,0,2019-11-08T14:59:31.000Z,2019-11-08T14:59:32.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['sinex', 'pos', 'PBO']"
-10.18709/perscido.2021.12.ds363,Redundant Apodized Pupils (RAP),PerSCiDo,2021,en,Dataset,,"The RAP concept can be applied on coronagraphic instruments combined with segmented primary mirror telescope. It aims to reduce the constraints of segment phasing (piston, tip, and tilt) by 1) optimizing the apodization of the elementary segment and 2) reproducing this apodization on all segments, mimicking the mirror segmentation. In Leboulleux et al. [submitted in 2021], the RAP concept is applied on a Giant Magellan telescope- like pupil combined with an Apodized Pupil Lyot Coronagraph (APLC) on one hand and with an Apodizing Phase Plate (APP) coronagraph on the other hand. This folder provides all the files to reproduce the coronagraphs of the paper and test their robustness.",fabrica,True,findable,0,0,0,0,0,2021-12-13T11:07:37.000Z,2021-12-13T11:07:38.000Z,inist.persyval,vcob,Astrophysics and astronomy,"[{'lang': 'en', 'subject': 'Astrophysics and astronomy'}]",['10 mo'],['.fits']
-10.5285/634ee206-258f-4b47-9237-efff4ef9eedd,"Polarimetric ApRES data on a profile across Dome C, East Antarctica, 2013-2014",NERC EDS UK Polar Data Centre,2021,en,Dataset,Open Government Licence V3.0,"The radar data collected in 2013-2014 at Dome C, East Antarctica, aims to understand bulk preferred crystal orientation fabric near a dome. We measure changes in englacial birefringence and anisotropic scattering in 21 sites along a 36 km long profile across Dome C. These optical properties are obtained by analysing radar returns for different antenna orientations. More details can be found in Ershadi et al, 2021. Funding was provided by BAS National Capability and IPEV core funding.",mds,True,findable,0,0,0,1,0,2021-09-16T11:17:15.000Z,2021-09-16T11:19:24.000Z,bl.nerc,rckq,"""EARTH SCIENCE"",""CRYOSPHERE"",""GLACIERS/ICE SHEETS"",""GLACIER MOTION/ICE SHEET MOTION"",""EARTH SCIENCE"",""CRYOSPHERE"",""GLACIERS/ICE SHEETS"",""ICE SHEETS"",ApRES,Dome C,fabric,polarimetric radar","[{'subject': '""EARTH SCIENCE"",""CRYOSPHERE"",""GLACIERS/ICE SHEETS"",""GLACIER MOTION/ICE SHEET MOTION""', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords/?format=xml', 'subjectScheme': 'GCMD'}, {'subject': '""EARTH SCIENCE"",""CRYOSPHERE"",""GLACIERS/ICE SHEETS"",""ICE SHEETS""', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords/?format=xml', 'subjectScheme': 'GCMD'}, {'subject': 'ApRES'}, {'subject': 'Dome C'}, {'subject': 'fabric'}, {'subject': 'polarimetric radar'}]","['81 files', '148.8 MB']","['text/plain', 'text/csv', 'application/x-hdf', 'application/netcdf']"
-10.26302/sshade/experiment_vc_20050726_001,Vis-NIR reflectance spectra of Australia white sand wetted with water and dried in ambiant air at 38Â°C,SSHADE/SSTONE (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","In order to investigate the spectral behavior of humidity on sand spectra, we have acquired laboratory reflectance spectra of a sand containing various proportion of water. Water was deposited on a dry sand (previously dried in an oven at 40Â°C during one night). During the experiment, the sample is then dried, under the sun at 38Â°C. A spectrum is acquired every 5 minutes with an ASD FieldSpec3FR. This experiment was done on Australia white sand",mds,True,findable,0,0,0,0,0,2023-04-22T08:30:42.000Z,2023-04-22T08:30:42.000Z,inist.sshade,mgeg,"laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance,Quartz,Orthoclase,Albite,Liquid water,mineral,natural terrestrial,tektosilicate,liquid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'bidirectional reflectance', 'subjectScheme': 'var'}, {'subject': 'Quartz', 'subjectScheme': 'name'}, {'subject': 'Orthoclase', 'subjectScheme': 'name'}, {'subject': 'Albite', 'subjectScheme': 'name'}, {'subject': 'Liquid water', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'liquid', 'subjectScheme': 'compound type'}]",['27 spectra'],['ASCII']
-10.5281/zenodo.7056694,Companion data for Communication-Aware Load Balancing of the LU Factorization over Heterogeneous Clusters,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the companion data repository for the paper entitled <strong>Communication-Aware Load Balancing of the LU Factorization over Heterogeneous Clusters</strong> by Lucas Leandro Nesi, Lucas Mello Schnorr, and Arnaud Legrand. The manuscript has been accepted in the ICPADS 2020.",mds,True,findable,0,0,0,0,0,2022-09-07T08:36:26.000Z,2022-09-07T08:36:27.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_h(13c)n_rotation_e05542a3,"Rotation excitation of H[13C]N by He, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 36 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for He (25 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:51.000Z,2021-11-18T13:34:51.000Z,inist.osug,jbru,"target H[13C]N,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,collider.3 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H[13C]N', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-h2(13c)o_rotation_e08b64e2,Rotation excitation of ortho-H2[13C]O by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 27 radiative transitions / 136 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 136 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:34.000Z,2021-11-18T13:35:35.000Z,inist.osug,jbru,"target ortho-H2[13C]O,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2[13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.6084/m9.figshare.12291689,Additional file 1 of Association of helicopter transportation and improved mortality for patients with major trauma in the northern French Alps trauma system: an observational study based on the TRENAU registry,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Trauma system of the Northern French Alps Emergency Network.,mds,True,findable,0,0,16,0,0,2020-05-13T03:41:51.000Z,2020-05-13T03:41:52.000Z,figshare.ars,otjm,"Medicine,Environmental Sciences not elsewhere classified,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Cancer,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['635334 Bytes'],
-10.18709/perscido.2018.10.ds133,Micro-seismic-monitoring of a floating ice plate to monitor its deformation: Catalog,PerSciDo,2018,en,Dataset,Creative Commons Attribution Non Commercial Share Alike 4.0 International,This dataset corresponds to the detected fractures characteristics related to the microseismic monitoring of a floating ice plate.,fabrica,True,findable,0,0,0,0,0,2018-12-06T13:54:50.000Z,2018-12-06T13:54:51.000Z,inist.persyval,vcob,"Glaciology,Materials Science,Geology,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences,Physics","[{'lang': 'en', 'subject': 'Glaciology'}, {'lang': 'en', 'subject': 'Materials Science'}, {'lang': 'en', 'subject': 'Geology'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Physics'}]",['10 MB'],['txt']
-10.5281/zenodo.3382123,Adriatic-Ionian Bimodal Oscillating System - Coriolis Rotating Platform Experiment,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Numerical modelling has not yet offered satisfactory description of the functioning of the Adriatic/ Ionian and Levantine system.<br> So far, the explanation for the inversion of the near-surface circulation has been mainly sought in the wind stress curl.<br> Recent results have however suggested that the wind forcing cannot explain such inversions.<br> Scientific objective of this study is to show from physical modelling that the inversions of the NIG circulation<br> in an idealized Adriatic-Ionian/ Eastern Mediterranean circulation system can be generated<br> only bu changing the inflowing water density (from the Adriatic) with respect to the residing water in the Ionian basin.",mds,True,findable,1,0,0,0,0,2019-09-17T11:12:28.000Z,2019-09-17T11:12:28.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_yd_20220602_010,Multiangular reflectance of Ysson amorphous/crystalline mixture in 5 visible spectral bands for 2 different grain sizes,SSHADE/PaSSTEL (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Multiangular reflectance (23 angular configurations) of Ysson amorphous/crystalline mixture (synthetic glass/natural basalt) in 5 visible spectral bands (0.56, 0.70, 0.79, 0.88, 0.96 Âµm) and for 2 different grain size ranges (125-250, 250-500 Âµm)",mds,True,findable,0,0,0,0,0,2022-06-03T12:48:53.000Z,2022-06-03T12:48:54.000Z,inist.sshade,mgeg,"solid,laboratory,natural terrestrial,tektosilicate,Glass,mineral,Vitreous matrix,nesosilicate,Olivine,inosilicate,Pyroxene,Plagioclase,laboratory measurement,bidirectional reflection,imaging,Vis,Visible,reflectance factor","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'natural terrestrial'}, {'subject': 'tektosilicate'}, {'subject': 'Glass'}, {'subject': 'mineral'}, {'subject': 'Vitreous matrix'}, {'subject': 'nesosilicate'}, {'subject': 'Olivine'}, {'subject': 'inosilicate'}, {'subject': 'Pyroxene'}, {'subject': 'Plagioclase'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'imaging'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'reflectance factor'}]",['6 spectra'],['ASCII']
-10.26302/sshade/experiment_sb_20210115_001,T-dependent optical constants of calcite and dolomite,SSHADE/DOCCD (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Optical constants are obtained by reflectance measurements with polarized light in a temperature range of 10 K to 300 K,mds,True,findable,0,0,0,0,0,2021-02-10T12:23:24.000Z,2021-02-10T12:23:25.000Z,inist.sshade,mgeg,"natural terrestrial,carbonate,Calcite,Dolomite,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'natural terrestrial'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'Dolomite'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['16 spectra'],['ASCII']
-10.6084/m9.figshare.23575369,Additional file 4 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authorsâ€™ original file for figure 3,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:48.000Z,2023-06-25T03:11:49.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['45056 Bytes'],
-10.26302/sshade/experiment_lb_20170719_001,"Mid-IR absorbance spectra of bulk CI chondrites in KBr pellets at ambient temperature, 150Â°C and 300Â°C",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR absorbance spectra of 2 bulk CI chondrites, Orgueil and Ivuna, in KBr pellets at 3 different temperatures: ambient temperature, 150Â°C and 300Â°C",mds,True,findable,0,0,0,0,0,2020-02-11T14:20:21.000Z,2020-02-11T14:20:21.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,bulk Orgueil,physically adsorbed phase,adsorbed water on Orgueil bulk,commercial,bromide,KBr,adsorbed water on KBr (Beck14),matrix Orgueil heated at 150C,matrix Orgueil heated at 300C,adsorbed water on Ivuna bulk,matrix Ivuna heated at 300C,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'bulk Orgueil'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water on Orgueil bulk'}, {'subject': 'commercial'}, {'subject': 'bromide'}, {'subject': 'KBr'}, {'subject': 'adsorbed water on KBr (Beck14)'}, {'subject': 'matrix Orgueil heated at 150C'}, {'subject': 'matrix Orgueil heated at 300C'}, {'subject': 'adsorbed water on Ivuna bulk'}, {'subject': 'matrix Ivuna heated at 300C'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['6 spectra'],['ASCII']
-10.26302/sshade/experiment_bs_20191231_001,Near-IR bidirectional reflection spectra (i=0Â°/e=30Â°) of volcanic tuff with different amounts of adsorbed H2O at -30Â°C,SSHADE/GhoSST (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Near-IR bidirectional reflection spectra (at fixed geometry: i=0Â°/e=30Â°) of volcanic tuff with different amounts of adsorbed H2O at -30Â°C, under increasing, then decreasing pressure of H2O vapor.",mds,True,findable,0,0,0,0,0,2019-12-31T09:28:27.000Z,2019-12-31T09:28:28.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,tektosilicate,Anorthite,Albite,Orthoclase,Nepheline,inosilicate,Diopside,nesosilicate,Forsterite,oxide-hydroxide,Hematite,Ilmenite,laboratory,physically adsorbed phase,adsorbed H2O,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'tektosilicate'}, {'subject': 'Anorthite'}, {'subject': 'Albite'}, {'subject': 'Orthoclase'}, {'subject': 'Nepheline'}, {'subject': 'inosilicate'}, {'subject': 'Diopside'}, {'subject': 'nesosilicate'}, {'subject': 'Forsterite'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hematite'}, {'subject': 'Ilmenite'}, {'subject': 'laboratory'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed H2O'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['21 spectra'],['ASCII']
-10.26302/sshade/experiment_lb_20201104_001,Mid-IR absorbance spectra of bulk CR chondrites in KBr pellets under ambient conditions of temperature and pressure,SSHADE/GhoSST (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR absorbance spectra of bulk CR chondrites (EET92042, GRA95229, LAP04720, MET00426, MIL090657) in KBr pellets under ambient conditions of temperature and pressure",mds,True,findable,0,0,0,0,0,2022-10-13T13:28:39.000Z,2022-10-13T13:28:40.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix EET92042,complex mineral mix,chondrules EET92042,CAIs EET92042,physically adsorbed phase,adsorbed water on EET92042 bulk,commercial,bromide,KBr,adsorbed water on ALHA77003 bulk,matrix GRA95229,chondrules GRA95229,CAIs GRA95229,adsorbed water on GRA95229 bulk,matrix LAP04720,chondrules LAP04720,CAIs LAP04720,adsorbed water on LAP04720 bulk,matrix MET00426,chondrules MET00426,CAIs MET00426,adsorbed water on MET00426 bulk,matrix MIL090657,chondrules MIL090657,CAIs MIL090657,adsorbed water on MIL090657 bulk,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix EET92042'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules EET92042'}, {'subject': 'CAIs EET92042'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water on EET92042 bulk'}, {'subject': 'commercial'}, {'subject': 'bromide'}, {'subject': 'KBr'}, {'subject': 'adsorbed water on ALHA77003 bulk'}, {'subject': 'matrix GRA95229'}, {'subject': 'chondrules GRA95229'}, {'subject': 'CAIs GRA95229'}, {'subject': 'adsorbed water on GRA95229 bulk'}, {'subject': 'matrix LAP04720'}, {'subject': 'chondrules LAP04720'}, {'subject': 'CAIs LAP04720'}, {'subject': 'adsorbed water on LAP04720 bulk'}, {'subject': 'matrix MET00426'}, {'subject': 'chondrules MET00426'}, {'subject': 'CAIs MET00426'}, {'subject': 'adsorbed water on MET00426 bulk'}, {'subject': 'matrix MIL090657'}, {'subject': 'chondrules MIL090657'}, {'subject': 'CAIs MIL090657'}, {'subject': 'adsorbed water on MIL090657 bulk'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['5 spectra'],['ASCII']
-10.17178/ohmcv.adv.cla.13-14.1,"Acoustic Doppler Velocimeter IQ Plus, CladuÃ¨gne",CNRS - OSUG - OREME,2013,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:18.000Z,2017-03-10T17:09:19.000Z,inist.osug,jbru,"Surface Water,ADCP &gt; Acoustic Doppler Current Profiler,Fixed Observation Stations","[{'subject': 'Surface Water', 'subjectScheme': 'main'}, {'subject': 'ADCP &gt; Acoustic Doppler Current Profiler', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.17178/draixbleone_gal_rob_temp_1519,Temperature of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This temperature data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:52.000Z,2020-09-15T15:58:53.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.26302/sshade/experiment_ak_20141110_1,Mid-infrared attenuated total reflectance experiment with K+ exchanged less 1 Î¼m size fraction of beidellite (SbCa-1) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:13:57.000Z,2022-11-04T08:13:58.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,K-exchanged beidellite SbCa-1 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'K-exchanged beidellite SbCa-1 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['5 spectra'],['ASCII']
-10.26302/sshade/experiment_rc_20200616_000,"VIS reflectance spectra collected during electron irradiation experiments of ice particles (spherical, 67 Âµm average diameter) intimately mixed with NaCl particles (sieved to less than 100 Âµm)",SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Spherical ice particles are produced by spraying droplets of water into liquid nitrogen with the SPIPA-B setup. These ice particles are then intimately mixed with NaCl particles (sieved to less than 100 Âµm) in different concentrations and 9mm-thick samples are produced from the mixtures. The samples are then introduced into the MEFISTO chamber, placed on a liquid nitrogen cooling plate, and the chamber is evacuated to high vacuum. The samples can then be bombarded with energetic electrons at different energies and fluxes and VIS hyperspectral images are collected. Fib. 4 in Cerubini et al. (2022).",mds,True,findable,0,0,0,0,0,2023-07-31T13:23:56.000Z,2023-07-31T13:23:57.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,reflectance factor,water ice,Sodium chloride,solid,laboratory,commercial,inorganic molecular solid,chloride","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'Sodium chloride', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'chloride', 'subjectScheme': 'compound type'}]",['6 spectra'],['ASCII']
-10.17178/emaa_(13c)o_rotation_30dfe01d,"Rotation excitation of [13C]O by ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 10 collisional transitions for para-H2 (9 temperatures in the range 2-40K),mds,True,findable,0,0,4,0,0,2022-02-07T11:23:59.000Z,2022-02-07T11:24:00.000Z,inist.osug,jbru,"target [13C]O,excitationType Rotation,collisional excitation,collider.0 para-H2O,collider.1 ortho-H2O,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-h2c(18o)_rotation_7963f75b,Rotation excitation of ortho-H2C[18O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",30 rotation energy levels / 69 radiative transitions / 435 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 435 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2022-06-08T11:34:53.000Z,2022-06-08T11:34:54.000Z,inist.osug,jbru,"target ortho-H2C[18O],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_co_rotation_e6542418,"Rotation excitation of CO by ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",11 rotation energy levels / 10 radiative transitions / 10 collisional transitions for para-H2 (9 temperatures in the range 2-40K) / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:17.000Z,2022-02-07T11:24:18.000Z,inist.osug,jbru,"target CO,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 para-H2O,collider.2 ortho-H2O,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.10635624,Unite! white paper. A new University open science and innovation governance model and policy for a sustainable world,Unite! Alliance Publications,2023,en,Text,Creative Commons Attribution 4.0 International,"This white paper is a practical tool aimed at contributing to the transition from modern science to open science in universities and European Universities Alliances (EUAs) by 2030. This white paper provides evidence-based policy guidelines for university managers, policymakers, and funders to enhance efficient open science and innovation management at universities.Â ",api,True,findable,0,0,0,0,2,2024-02-09T10:57:13.000Z,2024-02-09T10:57:13.000Z,cern.zenodo,cern,"open science,open science and innovation management,university governance,open innovation,science and innovation policy,European university alliances","[{'subject': 'open science'}, {'subject': 'open science and innovation management'}, {'subject': 'university governance'}, {'subject': 'open innovation'}, {'subject': 'science and innovation policy'}, {'subject': 'European university alliances'}]",,
-10.5061/dryad.cjsxksn63,Strong links between plant traits and microbial activities but different abiotic drivers in mountain grasslands,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"This dataset contains data and code that support the results in Weil, S.-S., Martinez-Almoyna, C., Piton, G., Renaud, J., Boulangeat, L., Foulquier, A., ... &amp; Thuiller, W. (2021) Strong links between plant traits and microbial activities but different abiotic drivers in mountain grasslands. Journal of Biogeography, 48(11), 2755-2770. We used an extensive plant-soil dataset that covers 14 elevational gradients (between 1500 and 2800 m of elevation) distributed over the whole French Alps to analyse the spatial co-dependencies between the plant and soil compartments. We ran a Graphical Lasso that extracts the direct and indirect linkages between plant functional composition, soil microbial activities, and environmental conditions (local climate and soil properties). Our main results are 1) that plant traits are tightly associated with microbial activities, the former being driven by climate and the latter by soil properties; 2) that the dominance of specific plant traits was more important than their diversity to determine plant-soil linkages; and 3) that soil microbes invested strongly in nutrient acquisition in sites with conservative plant traits and reduced organic matter quality.",mds,True,findable,190,7,0,1,0,2021-07-13T00:11:18.000Z,2021-07-13T00:11:19.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,graphical lasso,ORCHAMP,partial correlation networks,plant-soil (aboveground-belowground) interactions,soil enzymatic activities","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'graphical lasso'}, {'subject': 'ORCHAMP'}, {'subject': 'partial correlation networks'}, {'subject': 'plant-soil (aboveground-belowground) interactions'}, {'subject': 'soil enzymatic activities'}]",['24344 bytes'],
-10.26302/sshade/experiment_im_20120926_001,Co K edge XAS transmission and XAS fluorescence and XAS HERFD of Co oxides and salts for the study of Co doping in maghemite nanoparticles,SSHADE/FAME (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Varying the Co environment and adapting the observation mode as a function of the Co content,mds,True,findable,0,0,0,0,0,2019-12-05T13:34:06.000Z,2019-12-05T13:34:06.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,nitrate,Co(II)-nitrate hexahydrate,oxide-hydroxide,cobalt oxide Co(II,III),cyanide,potassium hexacyanocobaltate(III),laboratory,oxide,Aluminum oxide,elemental solid,Cobalt,Zinc oxide,tectosilicate,Sol-gel silica,Maghemite nanoparticles,laboratory measurement,transmission,None,hard X,hard X-rays,fluorescence emission","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'nitrate'}, {'subject': 'Co(II)-nitrate hexahydrate'}, {'subject': 'oxide-hydroxide'}, {'subject': 'cobalt oxide Co(II,III)'}, {'subject': 'cyanide'}, {'subject': 'potassium hexacyanocobaltate(III)'}, {'subject': 'laboratory'}, {'subject': 'oxide'}, {'subject': 'Aluminum oxide'}, {'subject': 'elemental solid'}, {'subject': 'Cobalt'}, {'subject': 'Zinc oxide'}, {'subject': 'tectosilicate'}, {'subject': 'Sol-gel silica'}, {'subject': 'Maghemite nanoparticles'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'fluorescence emission'}]",['8 spectra'],['ASCII']
-10.17178/draixbleone_gal_rob_disch_0719,Liquid discharge of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Esteves et al. (2019) when using these data. Esteves M., Legout C., Navratil O., Evrard O. (2019) Medium term high frequency observation of discharges and suspended sediment in a Mediterranean mountainous catchment. Journal of Hydrology 568: 562-574. doi.org/10.1016/j.jhydrol.2018.10.066.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This discharge data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:40.000Z,2020-09-15T15:58:41.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}]",,['CSV']
-10.5281/zenodo.8206446,"Data set for ""Tracking the as yet unknown nearfield evolution of a shallow, neutrally-buoyant plane jet over a sloping bottom boundary""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data set for the paper titled ""Tracking the as yet unknown nearfield evolution of a shallow, neutrally-buoyant plane jet over a sloping bottom boundary"".",mds,True,findable,0,0,0,0,0,2023-08-01T19:39:16.000Z,2023-08-01T19:39:17.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_op_20171130_001,"Vis-NIR bidirectional reflection spectra of spherical water ice particles for different sizes (2 to 100 Âµm), temperatures (173 and 223 K) and temporal evolutions",SSHADE/BYPASS+CSS (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Three types of water ice particles were prepared, having three grain size distributions: 4.5Â±2.5 Âµm, 67Â±31 Î¼m, and between 2 and 100 Âµm. Reflectance spectra (from 0.4 to 4 Âµm) of 5mm-deep surfaces of these particles were measured at 173 K, and some at 223 K, under primary vacuum. During time, the particles undergo metamorphism (recristallisation/sintering, change of grains shape and size) and spectra were measured again several hours after the measurement of the fresh samples.",mds,True,findable,0,0,0,0,0,2020-01-29T08:37:35.000Z,2020-01-29T08:37:35.000Z,inist.sshade,mgeg,"solid,laboratory,inorganic molecular solid,water ice,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'water ice'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['9 spectra'],['ASCII']
-10.15778/resif.7c2009,Seismic network 7C:Dora experiment (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2014,en,Other,"Open Access,Creative Commons Attribution 4.0 International","A network of 25 short period and broadband stations has been installed from 2009 to 2011 in Djibouti. The stations were aligned along a 150 km long profile, perpendicular to the axis of the active magmato-tectonic Asal-Ghoubbet rift segment. The station inter distance decreases near the rift axis. Five stations have been removed of the profile end of November 2010 and installed along the coasts of Djibouti to monitor the offshore activity in the western Aden Gulf.",mds,True,findable,0,0,0,5,0,2018-05-25T11:52:15.000Z,2018-05-25T11:52:15.000Z,inist.resif,vcob,"seismicity,crustal structure,ocean continent transition","[{'subject': 'seismicity'}, {'subject': 'crustal structure'}, {'subject': 'ocean continent transition'}]",,
-10.18709/perscido.2016.08.ds04,LastFM top-50 artists,PerSciDo,2016,en,Dataset,Creative Commons Attribution Non Commercial 4.0 International,A set of users and the 50 artists they listen the most to.,api,True,findable,0,0,0,0,0,2017-11-03T00:58:27.000Z,2017-11-03T00:58:27.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['500 MB'],['sql']
-10.26302/sshade/experiment_lb_20140114_001,Raman spectra (Î» = 514 nm) of matrix grains of CV meteorites,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-01-31T15:00:53.000Z,2020-01-31T15:00:53.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix Allende,matrix Axtell,matrix Kaba,matrix Mokoia,matrix Vigarano,matrix Leoville,matrix Efremovka,matrix Bali,laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,Raman scattering intensity,normalized Raman scattering intensity","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Allende'}, {'subject': 'matrix Axtell'}, {'subject': 'matrix Kaba'}, {'subject': 'matrix Mokoia'}, {'subject': 'matrix Vigarano'}, {'subject': 'matrix Leoville'}, {'subject': 'matrix Efremovka'}, {'subject': 'matrix Bali'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'Raman scattering intensity'}, {'subject': 'normalized Raman scattering intensity'}]",['16 spectra'],['ASCII']
-10.26302/sshade/experiment_zy_20180216_000,VIS-NIR reflectance spectra of binary mixtures of particulate CO2 ice (400-800 Âµm) and regolith simulant JSC Mars-1 in variable amount,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Particulate CO2 ice produced by crushing a piece of compact CO2 ice and sieving the powder to the 400-800 Âµm range is mixed intimately with variable amount of soil simulant JSC Mars-1 (25, 50, 65, 90 and 95 wt.% of soil simulant) and the VIS-NIR reflectance spectra of the mixtures is measured. Vis multispectral + NIR low resolution and Vis-NIR high resolution spectra.",mds,True,findable,0,0,0,0,0,2023-04-28T13:52:15.000Z,2023-04-28T13:52:16.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,Magnetite,Ulvospinel,Anorthite,Olivine,Ferrihydrite,Augite,Orthopyroxenes,solid CO2,solid,natural terrestrial,laboratory,oxide-hydroxide,tektosilicate,nesosilicate,inosilicate,inorganic molecular solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'reflectance factor', 'subjectScheme': 'var'}, {'subject': 'Magnetite', 'subjectScheme': 'name'}, {'subject': 'Ulvospinel', 'subjectScheme': 'name'}, {'subject': 'Anorthite', 'subjectScheme': 'name'}, {'subject': 'Olivine', 'subjectScheme': 'name'}, {'subject': 'Ferrihydrite', 'subjectScheme': 'name'}, {'subject': 'Augite', 'subjectScheme': 'name'}, {'subject': 'Orthopyroxenes', 'subjectScheme': 'name'}, {'subject': 'solid CO2', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'oxide-hydroxide', 'subjectScheme': 'compound type'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'nesosilicate', 'subjectScheme': 'compound type'}, {'subject': 'inosilicate', 'subjectScheme': 'compound type'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}]",['12 spectra'],['ASCII']
-10.26302/sshade/experiment_cl_20181123_001,Pt L3 edge XAS HERFD of metallic Pt powder at ambient conditions,SSHADE/FAME (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-04-15T07:43:23.000Z,2020-04-15T07:43:23.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,elemental solid,metallic Pt,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'elemental solid'}, {'subject': 'metallic Pt'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.17178/emaa_a-ch3oh_rotation_aa19a665,"Rotation excitation of A-CH3OH by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",140 rotation energy levels / 891 radiative transitions / 9669 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 4005 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 891 collisional transitions for electron (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:33.000Z,2023-12-07T15:50:33.000Z,inist.osug,jbru,"target A-CH3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target A-CH3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.al.met_nc,"Meteorological dataset (including radiative budget and soil variables), within the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of climate components.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:54.000Z,2018-03-16T15:36:55.000Z,inist.osug,jbru,"Meteorology,Sahelian climate,Wind Speed,Soil Moisture/CS616 Period at depth 5 cm,Soil Moisture/CS616 Period at depth 5 cm (2),Soil Temperature at depth 10 cm,Relative Humidity,Standard Deviation of Wind Direction,Soil Temperature at depth 5 cm,Wind Direction,Air Temperature,Incoming Shortwave Radiation","[{'subject': 'Meteorology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.6084/m9.figshare.22609322,Additional file 2 of TRansfusion strategies in Acute brain INjured patients (TRAIN): a prospective multicenter randomized interventional trial protocol,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 2. SPIRIT Checklist for Trials.,mds,True,findable,0,0,0,0,0,2023-04-13T11:34:55.000Z,2023-04-13T11:34:56.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['34625 Bytes'],
-10.5281/zenodo.5243209,Latin DBnary archive in original Lemon format,Zenodo,2021,la,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Latin language edition, ranging from 6th June 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T10:32:45.000Z,2021-08-24T10:32:46.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.17178/ohmcv.dsd.val.12-16.1,"DSD network, Valescure",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:22.000Z,2017-10-17T13:24:22.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.17178/amma-catch.ce.sw_g,"Soil dataset (soil moisture and temperature profiles), within the Gourma site (30 000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Monitoring soil moisture dynamic in the Sahel. The aim is to characterize the spatial variability of the soil moisture, with particular attention to the meridional gradient in the Gourma mesoscale site as well as the vertical and temporal variability. This data set will improve our understanding of land surface processes, continental water budget and surface-atmosphere feedbacks. It will be used in modelling and assimilation activities, as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:03.000Z,2018-03-16T15:37:03.000Z,inist.osug,jbru,"Soil Temperature, soil moisture, soil water,Sahelian/Saharan climate,Soil Temperature at depth 1.2 m,Soil Temperature at depth 10 cm,Soil Moisture/Water Content at depth 30 cm,Soil Temperature at depth 60 cm,Soil Temperature at depth 80 cm,Soil Moisture/Water Content at depth 40 cm,Soil Moisture/Water Content at depth 4 m,Soil Temperature at depth 40 cm,Soil Moisture/Water Content at depth 20 cm,Soil Moisture/Water Content at depth 1 m,Soil Temperature at depth 30 cm,Soil Moisture/Water Content at depth 1.8 m,Soil Moisture/Water Content at depth 2.2 m,Soil Temperature at depth 20 cm,Soil Moisture/Water Content at depth 2.5 m,Soil Moisture/Water Content at depth 10 cm,Soil Moisture/Water Content at depth 60 cm,Soil Moisture/Water Content at depth 1.2 m,Soil Temperature at depth 5 cm (2),Soil Moisture/Water Content at depth 1.5 m,Soil Moisture/Water Content at depth 80 cm,Soil Temperature at depth 1 m,Soil Temperature at depth 5 cm,Soil Moisture/Water Content at depth 5 cm","[{'subject': 'Soil Temperature, soil moisture, soil water', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Soil Temperature at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.8 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 5 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.44754,Jessie environment,Zenodo,2016,,Software,"GNU General Public License v2.0 only,Open Access",Jessie environment for grid5000,mds,True,findable,0,0,0,0,0,2016-01-18T08:35:17.000Z,2016-01-18T08:35:18.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_abs_ch3cn_alpha-ch3cn,Absorption band list of CH3CN in pnatural solid CH3CN (phase alpha),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","FIR-MIR absorption band list of $CH_3CN$ in natural solid $CH_3CN$ (phase alpha) at 20, 80 and 210 K",mds,True,findable,0,0,0,0,0,2023-04-21T07:11:28.000Z,2023-04-21T07:11:29.000Z,inist.sshade,mgeg,"natural CH3CN - phase alpha,Acetonitrile,alpha-Acetonitrile,alpha-acetonitrile (phase II),Acetonitrile,75-05-8,CH3CN,polar molecular solid,molecular solids with polar molecules,nitrile,absorption,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural CH3CN - phase alpha', 'subjectScheme': 'name'}, {'subject': 'Acetonitrile', 'subjectScheme': 'name'}, {'subject': 'alpha-Acetonitrile', 'subjectScheme': 'name'}, {'subject': 'alpha-acetonitrile (phase II)', 'subjectScheme': 'name'}, {'subject': 'Acetonitrile', 'subjectScheme': 'IUPAC name'}, {'subject': '75-05-8', 'subjectScheme': 'CAS number'}, {'subject': 'CH3CN', 'subjectScheme': 'formula'}, {'subject': 'polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with polar molecules', 'subjectScheme': 'class'}, {'subject': 'nitrile', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5281/zenodo.5799465,GPS Time Series Kamchatka 2013,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","GPS time series presented in the article: ""Transient slab plunge prior to the Mw 8.3 2013 Okhotsk deep-focus earthquake"" The columns of the files correspond to Year ; Month ; Day ; Hour ; Minute ; Second ; East position (mm) ; North position (mm) ; Up position (mm) ; East uncertainty (mm) ; North uncertainty (mm) ; Up uncertainty (mm) ;",mds,True,findable,0,0,0,0,0,2021-12-22T17:43:30.000Z,2021-12-22T17:43:30.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_raman_rhodochrosite,Raman bandlist of natural Rhodochrosite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Rhodochrosite at 295K,mds,True,findable,0,0,4,0,0,2023-04-22T06:34:10.000Z,2023-04-22T06:34:11.000Z,inist.sshade,mgeg,"Rhodochrosite,Manganese(II) cation,Carbonate anion,Manganese(2+) cation,16397-91-4,Mn2+,(CO3)2-,MnCO3,Rhodochrosite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Calcite group (Trigonal: R-3c),14.01.01.04,05.AB.05,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Rhodochrosite', 'subjectScheme': 'name'}, {'subject': 'Manganese(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Manganese(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '16397-91-4', 'subjectScheme': 'CAS number'}, {'subject': 'Mn2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'MnCO3', 'subjectScheme': 'formula'}, {'subject': 'Rhodochrosite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Calcite group (Trigonal: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.01.04', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.15778/resif.zf2015,"RiviÃ¨re des Pluies Project, La RÃ©union Island, 2015-2018",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2015,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","In the frame of the RiviÃ¨re des Pluies project, a temporary seismic network of approximately 10 three-component broadband seismometers was deployed around two rivers of La RÃ©union Island: RiviÃ¨re des Pluies and RiviÃ¨re du MÃ¢t. The goal of the project is to monitor spatial and temporal variations of the riverâ€™s bed-load during tropical cyclones with high-frequency noise.",mds,True,findable,0,0,0,1,0,2016-08-08T15:01:38.000Z,2016-08-08T15:01:38.000Z,inist.resif,vcob,Monitoring the transport of sediment during tropical cyclones from high-frequency seismic noise in two rivers of La RÃ©union Island,[{'subject': 'Monitoring the transport of sediment during tropical cyclones from high-frequency seismic noise in two rivers of La RÃ©union Island'}],"['10 stations, 155 Gb per year, growing']","['Miniseed data data', 'stationXML metadata']"
-10.17178/ohmcv.dsd.sef.12-14.1,"DSD network, Saint-Etienne-de-Fontbellon",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:21.000Z,2017-03-10T17:09:22.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.26302/sshade/experiment_op_20180717_001,Cu K edge XAS HERFD (Kalpha1) of CuO at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:45:46.000Z,2019-12-05T13:45:47.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,oxide-hydroxide,CuO,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'oxide-hydroxide'}, {'subject': 'CuO'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.6084/m9.figshare.24946445,Additional file 1 of Barriers and facilitators to the HPV vaccine: a multicenter qualitative study of French general practitioners,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Table 1: interview guide,mds,True,findable,0,0,0,0,0,2024-01-05T04:41:35.000Z,2024-01-05T04:41:35.000Z,figshare.ars,otjm,"Biological Sciences not elsewhere classified,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['20755 Bytes'],
-10.6084/m9.figshare.16851144,Additional file 5 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Audiovisual,Creative Commons Attribution 4.0 International,Additional file 5: Movie 4. Videomicroscopy of kinase-dead NDPK-D mutant HeLa clones.,mds,True,findable,0,0,93,1,0,2021-10-22T04:07:49.000Z,2021-10-22T04:07:51.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['7942610 Bytes'],
-10.5281/zenodo.3817437,"Search Queries for ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" v3.0",Zenodo,2019,,Software,"Creative Commons Attribution 4.0 International,Open Access","<strong>This package contains machine readable (xml) search queries, for the Scopus publication database, to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs).</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as <em>proof of practice</em>.) The initiative started from the Aurora Universities Network in 2017, in the working group ""Societal Impact and Relevance of Research"", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's). The classification model we have used are 17 different search queries on the Scopus database. The search queries are elegant constructions with keyword combinations and boolean operators, in the syntax specific to the Scopus Query Language. We have used Scopus because it covers more research area's that are relevant to the SDG's, and we could filter much easier the Aurora Institutions. <strong>Versions</strong> Different versions of the search queries have been made over the past years to improve the precision (soundness) and recall (completeness) of the results. The queries have been made in a team effort by several bibliometric experts from the Aurora Universities. Each one did two or 3 SDG's, and than reviewed each other's work. v1.0 January 2018<em> Initial 'strict' version.</em> In this version only the terms were used that appear in the SDG policy text of the targets and indicators defined by the UN. At this point we have been aware of the SDSN Compiled list of keywords, and used them as inspiration. Rule of thumb was to use <em>keyword-combination searches</em> as much as possible rather than <em>single-keyword searches</em>, to be more precise rather than to yield large amounts of false positive papers. Also we did not use the inverse or 'NOT' operator, to prevent removing true positives from the result set. This version has not been reviewed by peers. Download from: GitHub / Zenodo v2.0 March 2018<em> Reviewed 'strict' version.</em> Same as version 1, but now reviewed by peers. Download from: GitHub / Zenodo v3.0 May 2019 <em>'echo chamber' version.</em> We noticed that using strictly the terms that policy makers of the UN use in the targets and indicators, that much of the research that did not use that specific terms was left out in the result set. (eg. ""mortality"" vs ""deaths"") To increase the recall, without reducing precision of the papers in the results, we added keywords that were obvious synonyms and antonyms to the existing 'strict' keywords. This was done based on the keywords that appeared in papers in the result set of version 2. This creates an 'echo chamber', that results in more of the same papers. Download from: GitHub / Zenodo v4.0 August 2019<em> uniform 'split' version.</em> Over the course of the years, the UN changed and added Targets and indicators. In order to keep track of if we missed a target, we have split the queries to match the targets within the goals. This gives much more control in maintenance of the queries. Also in this version the use of brackets, quotation marks, etc. has been made uniform, so it also works with API's, and not only with GUI's. His version has been used to evaluate using a survey, to get baseline measurements for the precision and recall. Published here: Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. Download from: GitHub / Zenodo v5.0 June 2020 <em>'improved' version.</em> In order to better reflect academic representation of research output that relate to the SDG's, we have added more keyword combinations to the queries to increase the recall, to yield more research papers related to the SDG's, using academic terminology. We mainly used the input from the Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. We ran several text analyses: Frequent term combination in title and abstracts from Suggested papers, and in selected (accepted) papers, suggested journals, etc. Secondly we got inspiration out of the Elsevier SDG queries Jayabalasingham, Bamini; Boverhof, Roy; Agnew, Kevin; Klein, Lisette (2019), â€œIdentifying research supporting the United Nations Sustainable Development Goalsâ€, Mendeley Data, v1 https://dx.doi.org/10.17632/87txkw7khs.1. Download from: GitHub / Zenodo <strong>Contribute and improve the SDG Search Queries</strong> We welcome you to join the Github community and to fork, improve and make a pull request to add your improvements to the new version of the SDG queries. <strong>https://github.com/Aurora-Network-Global/sdg-queries</strong>",mds,True,findable,3,0,2,0,0,2020-05-15T13:26:26.000Z,2020-05-15T13:26:27.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Classification model,Search Queries,SCOPUS","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Classification model'}, {'subject': 'Search Queries'}, {'subject': 'SCOPUS'}]",,
-10.17178/amma-catch.pa.sw_snnr,"Soil dataset (soil moisture and temperature profiles), in the Niakhar site (Ragola station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of soil water content and soil temperature.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:55.000Z,2021-11-15T12:53:56.000Z,inist.osug,jbru,"Soil Temperature, soil moisture,Sahelian climate,Soil Moisture/Water Content at depth 10 cm,Soil Temperature at depth 10 cm,Soil Moisture/Water Content at depth 40 cm,Soil Temperature at depth 40 cm,Soil Temperature at depth 20 cm,Soil Moisture/Water Content at depth 20 cm","[{'subject': 'Soil Temperature, soil moisture', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 20 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.6084/m9.figshare.c.6650322,Digital undergraduate medical education and patient and carer involvement: a rapid systematic review of current practice,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Involving patients and carers in medical studentsâ€™ learning aims to centralise the perspective of healthcare users and supports our future medical workforce in the development of key skills. Medical schools are increasingly using digital technology for teaching and it is timely to understand how to maintain patient and carer involvement in this context. Methods Ovid MEDLINE, Ovid EMBASE and medRxiv were searched in October 2020 and reference lists of key articles were hand searched. Eligible studies reported authentic patient or carer involvement in undergraduate medical education where technology was also used. Study quality was assessed by the Mixed Methods Appraisal Tool (MMAT). Levels of patient or carer involvement were assessed using Towle et al.â€™s (2010) taxonomy, from Level 1 (lowest level) to Level 6 (highest level). Results Twenty studies were included in this systematic review. In 70% of studies, patients and carers featured in video or web-based case scenarios with no interaction between healthcare users and students. The remaining 30% of studies reported real-time interactions between students and patients via remote clinical encounters. Digital teaching sessions involving patients or carers were perceived to be valuable by students and educators, and increased student engagement, patient-centred attitudes, clinical knowledge, and communication skills. No studies reported the perspective of patients or carers. Discussion Digital technology has not yet driven higher levels of patient and carer involvement in medical training. â€œLiveâ€ interactions between students and patients are becoming more common but challenges need addressing to ensure positive experiences for all involved. Future teaching should enhance the role of patients and carers in medical education and support them to overcome any potential barriers to doing so remotely.",mds,True,findable,0,0,0,0,0,2023-05-17T03:24:27.000Z,2023-05-17T03:24:27.000Z,figshare.ars,otjm,"Medicine,Science Policy,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Science Policy'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5281/zenodo.10636066,Assessing the accuracy of excited-state geometries through optimal tuning of TD-DFT with GW,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This data set is a part of Supporting Info for our work entitled â€œAssessing the accuracy of excited-state geometries through optimal tuning of TD-DFT with GWâ€ which is to be submitted to the Journal of Chemical Physics. In this data set, we provide the XYZ coordinates for the compounds studied in this work.",api,True,findable,0,0,0,0,0,2024-02-16T12:23:14.000Z,2024-02-16T12:23:14.000Z,cern.zenodo,cern,,,,
-10.57745/id1ls6,"Ice texture data from ice core, NEEM, Greenland, 2007-2012",Recherche Data Gouv,2023,,Dataset,,"NEEM (North Greenland Eemian Ice Drilling) was an international ice core research project in Greenland. As other projects like GRIP and NGRIP, this ice core had the goal to extract informations and data about the last interglacial period. The project was directed and organized by the Danish former Centre for Ice and Climate at the Niels Bohr Institute and US NSF, Office of Polar Programs. It was supported by funding agencies and institutions in Belgium (FNRS-CFB and FWO), Canada (NRCan/GSC), China(CAS), Denmark (FIST), France (IPEV, CNRS/INSU, CEA and ANR), Germany (AWI), Iceland (RannIs), Japan (NIPR), South Korea (KOPRI), the Netherlands (NWO/ ALW), Sweden (VR), Switzerland (SNF), the United Kingdom (NERC) and the USA (US NSF, Office of Polar Programs) and the EU Seventh Framework programmes Past4Future and WaterundertheIce The coring site was located in North West Greenland (camp position 77.45Â°N 51.06Â°W). The drilling took place between 2007 and 2012. For more information about the project: https://neem.dk/, NEEM community members (doi:https://doi.org/10.1038/nature11789 ). The data provided here is published in Montagnat et al., (2014) (doi:https://doi.org/10.5194/tc-8-1129-2014) The dataset contains texture data (crystallographic orientations) measured on thin sections of ice extracted along the 2540 m depth ice core. The ice core has been subdivided and stored into core sections (also called â€œbagsâ€) of 0.55 m long.",mds,True,findable,139,2,0,0,0,2023-03-27T12:10:05.000Z,2023-11-03T15:28:56.000Z,rdg.prod,rdg,,,,
-10.26302/sshade/experiment_ak_20141101_1,Mid-infrared attenuated total reflectance experiment with Na+ exchanged less 1 Î¼m size fraction of nontronite (SWa-1) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:11:24.000Z,2022-11-04T08:11:25.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Na-exchanged smectite SWa-1 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-exchanged smectite SWa-1 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['4 spectra'],['ASCII']
-10.26302/sshade/experiment_bms_20150101_004,VUV absorbance spectra between 10 and 130 K of amorphous (CH3)2CHCN deposited at 10 K,SSHADE/ACID (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",VUV absorbance spectra between 10 and 130 K of amorphous (CH3)2CHCN deposited at 10 K,mds,True,findable,0,0,0,0,0,2021-03-01T20:13:43.000Z,2021-03-01T20:13:44.000Z,inist.sshade,mgeg,"laboratory,organic molecular solid,amorphous (CH3)2CHCN ice,laboratory measurement,transmission,macroscopic,VUV,Vacuum Ultraviolet,absorbance","[{'subject': 'laboratory'}, {'subject': 'organic molecular solid'}, {'subject': 'amorphous (CH3)2CHCN ice'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'VUV'}, {'subject': 'Vacuum Ultraviolet'}, {'subject': 'absorbance'}]",['4 spectra'],['ASCII']
-10.5281/zenodo.8060225,Ultrastructure of macromolecular assemblies contributing to bacterial spore resistance revealed by in situ cryo-electron tomography,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Cryo-electron tomograms reconstructed from data acquired on FIBM/SEM lamellae of Bacillus subtilis sporangia.
-
-
-Excel files containing measurements of various cellular ultrastructures observed by cryo-electron tomography and transmission electron microcopy of resin sections of B. subtilis sporangia.",mds,True,findable,0,0,0,0,0,2023-06-20T14:30:02.000Z,2023-06-20T14:30:03.000Z,cern.zenodo,cern,"Cryo-FIBM/electron tomography,cellular electron microscopy,sporulation,coat proteins","[{'subject': 'Cryo-FIBM/electron tomography'}, {'subject': 'cellular electron microscopy'}, {'subject': 'sporulation'}, {'subject': 'coat proteins'}]",,
-10.26302/sshade/experiment_sb_20210218_001,Optical constants of glassy SiS$_2$ in MIR/FIR,SSHADE/DOCCD (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-03-15T09:35:55.000Z,2021-03-15T09:35:56.000Z,inist.sshade,mgeg,"laboratory,sulfide,SiS$_2$, amorphous,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'sulfide'}, {'subject': 'SiS$_2$, amorphous'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.8086478,"Data of ""Inferring the Basal Friction Law from long term observations of Glacier Length, Thickness and Velocity changes on an Alpine Glacier""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the surface velocity and elevation of ArgentiÃ¨re Glacier in 2003 and 2018 used in: Gilbert, A., Gimbert, F., Gagliardini, O., &amp; Vincent, C. (2023). Inferring the Basal Friction Law From Long Term Changes of Glacier Length, Thickness and Velocity on an Alpine Glacier. <em>Geophysical Research Letters</em>, <em>50</em>(16), e2023GL104503. https://doi.org/10.1029/2023GL104503 Surface DEM files contain elevation Z on a 20X20 meter grid (geotif files, coordinnate are in Lambert 2E ( EPSG:27572 ) ) Horizontal Velocity files contain measured horizontal velocities Vh in m/yr on a 20X20 meter grid (geotif files, coordinnate are in Lambert 2E ( EPSG:27572 ) )",mds,True,findable,0,0,0,0,0,2023-06-27T11:59:18.000Z,2023-06-27T11:59:18.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10013099,"Data and code for the article "" Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe""",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2023-10-17T09:29:23.000Z,2023-10-17T09:29:23.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.6s5pn,Data from: Investigating the genetics of Bti resistance using mRNA tag sequencing: application on laboratory strains and natural populations of the dengue vector Aedes aegypti,Dryad,2013,en,Dataset,Creative Commons Zero v1.0 Universal,"Mosquito control is often the main method used to reduce mosquito-transmitted diseases. In order to investigate the genetic basis of resistance to the bio-insecticide Bacillus thuringiensis subsp. israelensis (Bti), we used information on polymorphism obtained from cDNA tag sequences from pooled larvae of laboratory Bti-resistant and susceptible Aedes aegypti mosquito strains to identify and analyse 1520 single nucleotide polymorphisms (SNPs). Of the 372 SNPs tested, 99.2% were validated using DNA Illumina GoldenGateÂ® array, with a strong correlation between the allelic frequencies inferred from the pooled and individual data (r = 0.85). A total of 11 genomic regions and five candidate genes were detected using a genome scan approach. One of these candidate genes showed significant departures from neutrality in the resistant strain at sequence level. Six natural populations from Martinique Island were sequenced for the 372 tested SNPs with a high transferability (87%), and association mapping analyses detected 14 loci associated with Bti resistance, including one located in a putative receptor for Cry11 toxins. Three of these loci were also significantly differentiated between the laboratory strains, suggesting that most of the genes associated with resistance might differ between the two environments. It also suggests that common selected regions might harbour key genes for Bti resistance.",mds,True,findable,288,41,1,1,0,2013-06-05T16:30:58.000Z,2013-06-05T16:30:59.000Z,dryad.dryad,dryad,"Genomics/Proteomics,Ecotoxicology,Aedes aegypti","[{'subject': 'Genomics/Proteomics'}, {'subject': 'Ecotoxicology', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Aedes aegypti', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['137673 bytes'],
-10.26302/sshade/bandlist_raman_spherocobaltite,Raman bandlist of natural Spherocobaltite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Spherocobaltite at 295K,mds,True,findable,0,0,2,0,0,2023-08-12T14:39:57.000Z,2023-08-12T14:39:58.000Z,inist.sshade,mgeg,"Spherocobaltite,Cobaltous cation,Carbonate anion,Cobalt(2+) cation,22541-53-3,Co2+,(CO3)2-,CoCO3,Spherocobaltite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Calcite group (Trigonal: R-3c),14.01.01.05,05.AB.05,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Spherocobaltite', 'subjectScheme': 'name'}, {'subject': 'Cobaltous cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Cobalt(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '22541-53-3', 'subjectScheme': 'CAS number'}, {'subject': 'Co2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'CoCO3', 'subjectScheme': 'formula'}, {'subject': 'Spherocobaltite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Calcite group (Trigonal: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.01.05', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5281/zenodo.10265626,Dataset for first resonant PXCT experiments at the SWING beamline at Synchrotron Soleil,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This dataset was acquired at the SWING beamline at the French synchrotron SOLEIL. The ptychographic scans consisted of 205 diffraction patterns from a field of view of 14x12 ÂµmÂ² with an exposure time of 100 ms per point. The ptychographic reconstruction was carried out using the PtychoShelves Matlab software package [1], involving 200 iterations of the difference map (DM) algorithm, followed by 100 iterations of the maximum likelihood (ML) algorithm.
-
-The dataset consists of the ptychographic reconstructions of two ptychographic tomography scans at energies 8383 eV and 8337 eV, the angle files, and the corresponding tomograms as slices.
-
-Niwire_3D_8383 - ptychographic reconstructions of the 200 projections at 3838 eV
-
-Niwire_3D_8337 - ptychographic reconstructions of the 210 projections at 8337 eV (10 duplicate angles)
-
-Niwire8383_TIFF_delta_FBP_ram-lak_freqscl_1.00 - tomographic reconstruction (with PtychoShelves [2]) of the Niwire measured at 8383 eV
-
-Niwire8337_TIFF_delta_FBP_ram-lak_freqscl_1.00 - tomographic reconstruction (with PtychoShelves [2]) of the Niwire measured at 8337 eV
-
-angles_Niwire8383 - the angles of the tomographic scan at 8383 eV
-
-angles_Niwire8383 - the angles of the tomographic scan at 8337 eV
-
-Â 
-
-[1] Wakonig, K., Stadler, H.-C., OdstrÄil, M., Tsai, E. H. R., Diaz, A., Holler, M., Usov, I., Raabe, J., Menzel, A. & Guizar-Sicairos, M. (2020). PtychoShelves, a versatile high-level framework for high-performance analysis of ptychographic data. J. Appl. Cryst. 53, 574-586.
-
-[2] Michal OdstrÄil, Mirko Holler, JÃ¶rg Raabe, and Manuel Guizar-Sicairos, ""Alignment methods for nanotomography with deep subpixel accuracy,"" Opt. Express 27, 36637-36652 (2019)",api,True,findable,0,0,0,0,0,2024-02-13T07:48:59.000Z,2024-02-13T07:48:59.000Z,cern.zenodo,cern,"Ptychography,Ptychographic X-Ray Computed Tomography,Spectral Ptychography,Resonant Ptychography,SWING beamline,SOLEIL synchrotron","[{'subject': 'Ptychography'}, {'subject': 'Ptychographic X-Ray Computed Tomography'}, {'subject': 'Spectral Ptychography'}, {'subject': 'Resonant Ptychography'}, {'subject': 'SWING beamline'}, {'subject': 'SOLEIL synchrotron'}]",,
-10.17178/cryobsclim.clb.safran,"Col du Lac Blanc, SAFRAN meteorological data",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate â€“ Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:38.000Z,2018-04-09T10:16:38.000Z,inist.osug,jbru,"SAFRAN air temperature (K),SAFRAN specific humidity (kg/kg),SAFRAN wind speed (m/s),SAFRAN wind direction (deg),SAFRAN downward longwave radiation (W/mÂ²),SAFRAN downward direct shortwave radiation (W/m2),SAFRAN downward diffuse shortwave radiation (W/m2),SAFRAN nebulosity (-),SAFRAN rainfall rate (kg/m2/s),SAFRAN snowfall rate (kg/m2/s)","[{'subject': 'SAFRAN air temperature (K)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN specific humidity (kg/kg)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN wind speed (m/s)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN wind direction (deg)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN downward longwave radiation (W/mÂ²)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN downward direct shortwave radiation (W/m2)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN downward diffuse shortwave radiation (W/m2)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN nebulosity (-)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN rainfall rate (kg/m2/s)', 'subjectScheme': 'main'}, {'subject': 'SAFRAN snowfall rate (kg/m2/s)', 'subjectScheme': 'main'}]",,['CSV']
-10.5281/zenodo.4628245,HPL (modified for Simgrid/SMPI),Zenodo,2021,,Software,"BSD licenses (New and Simplified),Open Access","This is a modified version of High Performance Linpack, intended to be used on top Simgrid/SMPI simulator.",mds,True,findable,0,0,1,0,0,2021-03-22T19:58:34.000Z,2021-03-22T19:58:35.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5835979,FIGURE 3. Bulbophyllum taeniophyllum var. denticulatoalatum Vuong &amp; Aver. A. Flowering plant. B. Pseudobulbs. C in Bulbophyllum section Rhytionanthos (Orchidaceae) in Vietnam with description of new taxa and new national record,Zenodo,2022,,Image,Open Access,"FIGURE 3. Bulbophyllum taeniophyllum var. denticulatoalatum Vuong &amp; Aver. A. Flowering plant. B. Pseudobulbs. C. Pseudobulb and leaf, adaxial side. D. Abaxial leaf surface. E. Inflorescence. F. Flowers, frontal view. G. Flowers, half side and side views. H. Median sepal, adaxial and abaxial side. I. Lateral sepals, adaxial and abaxial side. J. Petals, adaxial and abaxial side. K. Lip, views from different sides. L. Ovary, column, and lip, side view. M. Pedicel, ovary and column, side view. N. Column, frontal and side views. O. Anther cap, views from different sides. P. Pollinia. Photos by Truong Ba Vuong, correction and design by L. Averyanov and T. Maisak.",mds,True,findable,0,0,2,2,0,2022-01-11T09:00:40.000Z,2022-01-11T09:00:41.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Plantae,Tracheophyta,Liliopsida,Asparagales,Orchidaceae,Bulbophyllum","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Plantae'}, {'subject': 'Tracheophyta'}, {'subject': 'Liliopsida'}, {'subject': 'Asparagales'}, {'subject': 'Orchidaceae'}, {'subject': 'Bulbophyllum'}]",,
-10.7280/d1mm37,Annual Ice Velocity of the Greenland Ice Sheet (1972-1990),Dryad,2019,en,Dataset,Creative Commons Attribution 4.0 International,"We derive surface ice velocity using data from 16 satellite sensors deployed by 6 different space agencies. The list of sensors and the year that they were used are listed in the following (Table S1). The SAR data are processed from raw to single look complex using the GAMMA processor (www.gamma-rs.ch). All measurements rely on consecutive images where the ice displacement is estimated from tracking or interferometry (Joughin et al. 1998, Michel and Rignot 1999, Mouginot et al. 2012). Surface ice motion is detected using a speckle tracking algorithm for SAR instruments and feature tracking for Landsat. The cross-correlation program for both SAR and optical images is ampcor from the JPL/Caltech repeat orbit interferometry package (ROI_PAC). We assembled a composite ice velocity mosaic at 150 m posting using our entire speed database as described in Mouginot et al. 2017 (Fig. 1A). The ice velocity maps are also mosaicked in annual maps at 150 m posting, covering July, 1st to June, 30th of the following year, i.e. centered on January, 1st (12) because a majority of historic data were acquired in winter season, hence spanning two calendar years. We use Landsat-1&amp;2/MSS images between 1972 and 1976 and combine image pairs up to 1 years apart to measure the displacement of surface features between images as described in Dehecq et al., 2015 or Mouginot et al. 2017. We use the 1978 2-m orthorectified aerial images to correct the geolocation of Landsat-1 and -2 images (Korsgaard et al., 2016). Between 1984 and 1991, we processed Landsat-4&amp;5/TM image pairs acquired up to 1-year apart. Only few Landsat-4 and -5 images (~3%) needed geocoding refinement using the same 1978 reference as used previously. Between 1991 and 1998, we process radar images from the European ERS-1/2, with a repeat cycle varying from 3 to 36 days depending on the mission phase. Between 1999 and 2013, we use Landsat-7, ASTER, RADARSAT-1/2, ALOS/PALSAR, ENVISAT/ASAR to determine surface velocity (Joughin et al., 2010; Howat, I. 2017; Rignot &amp; Mouginot, 2012). After 2013, we use Landsat-8, Sentinel-1a/b and RADARSAT-2 (Mouginot et al., 2017). All synthetic aperture radar (SAR) datasets are processed assuming surface parallel flow using the digital elevation model (DEM) from the Greenland Mapping Project (GIMP; Howat et al., 2014) and calibrated as described in Mouginot et al., 2012, 2017. Data were provided by the European Space Agency (ESA) the EU Copernicus program (through ESA), the Canadian Space Agency (CSA), the Japan Aerospace Exploration Agency (JAXA), the Agenzia Spaziale Italiana (ASI), the Deutsches Zentrum fuÌˆr Luft- und Raumfahrt e.V. (DLR) and the National Aeronautics and Space Administration (NASA) and the U.S. Geological Survey (USGS). SAR data acquisition were coordinated by the Polar Space Task Group (PSTG). References: Dehecq, A, Gourmelen, N, Trouve, E (2015). Deriving large-scale glacier velocities from a complete satellite archive: Application to the Pamir-Karakoram-Himalaya. Remote Sensing of Environment, 162, 55â€“66. Howat IM, Negrete A, Smith BE (2014) The greenland ice mapping project (gimp) land classification and surface elevation data sets. The Cryosphere 8(4):1509â€“1518. Howat, I (2017). MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from Optical Images, Version 2. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. Joughin, I., B. Smith, I. Howat, T. Scambos, and T. Moon. (2010). Greenland Flow Variability from Ice-Sheet-Wide Velocity Mapping, J. of Glac.. 56. 415-430. Joughin IR, Kwok R, Fahnestock MA (1998) Interferometric estimation of three dimensional ice-flow using ascending and descending passes. IEEE Trans. Geosci. Remote Sens. 36(1):25â€“37. Joughin, I, Smith S, Howat I, and Scambos T (2015). MEaSUREs Greenland Ice Sheet Velocity Map from InSAR Data, Version 2. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. Michel R, Rignot E (1999) Flow of Glaciar Moreno, Argentina, from repeat-pass Shuttle Imaging Radar images: comparison of the phase correlation method with radar interferometry. J. Glaciol. 45(149):93â€“100. Mouginot J, Scheuchl B, Rignot E (2012) Mapping of ice motion in Antarctica using synthetic-aperture radar data. Remote Sens. 4(12):2753â€“2767. Mouginot J, Rignot E, Scheuchl B, Millan R (2017) Comprehensive annual ice sheet velocity mapping using landsat-8, sentinel-1, and radarsat-2 data. Remote Sensing 9(4). Rignot E, Mouginot J (2012) Ice flow in Greenland for the International Polar Year 2008- 2009. Geophys. Res. Lett. 39, L11501:1â€“7.",mds,True,findable,1211,209,0,3,0,2018-12-14T09:39:45.000Z,2018-12-14T09:39:46.000Z,dryad.dryad,dryad,,,['7913047164 bytes'],
-10.17178/ohmcv.dsd.vb2.12-16.1,"DSD network, Villeneuve-de-Berg-2",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:24.000Z,2017-10-17T13:24:25.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Amount,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.5281/zenodo.7195152,Data Used in [~Re] Setting Inventory Levels in a Bike Sharing Network,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data used to reproduce the publication ""Setting an Inventory Levels in a Bike Sharing Network"" by Datner et al. This data correspond to the scenarios generated from the parameters given by the authors.",mds,True,findable,0,0,0,0,0,2022-10-13T17:53:59.000Z,2022-10-13T17:53:59.000Z,cern.zenodo,cern,"Reproduction,FOS: Medical biotechnology,Bike Sharing System,Optimization","[{'subject': 'Reproduction'}, {'subject': 'FOS: Medical biotechnology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Bike Sharing System'}, {'subject': 'Optimization'}]",,
-10.17178/amma-catch.mali,"AMMA-CATCH observatory: Gourma mesoscale site (30 000 km2) in the Sahelian pastoral zone, Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","The northernmost site of the AMMA-CATCH observatory, the Gourma meso-scale site in Mali, is located between 14.5Â°N and 17.5Â°N in the Sahelian zone sensu stricto stretching mainly from the loop of the Niger River southward down to the border region with Burkina-Faso. It also reaches the Saharo-Sahelian transition zone, north of the Niger River. The climate is semi-arid, daytime air temperatures are always high and annual rainfall amounts (from about 100 mm in the northern part to about 450 mm in the southern part of the site) exhibit strong inter-annual and seasonal variations. The region is mainly pastoral and agriculture fields cover less than 1% of the Gourma. Measurements sites are organized along the northâ€“south rainfall transect on two main types of soil surfaces and hydrologic systems which reveal sharp gradients in soil moisture, vegetation cover and energy budget: a) sandy soils with high water infiltration rates and limited run-off, that support an open tree savannah; b) shallow soils characterized by a poor water infiltration and a sparse vegetation, with more concentrated run-off that ends in pools or low lands within structured endorheic watersheds. Seasonally inundated lowlands are covered by open Acacia forests. Since 2010, due to security issues, field measurements are restricted within the Hombori super-site.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:19.000Z,2018-03-16T15:37:19.000Z,inist.osug,jbru,"Sahelian climate,Precipitation,Surface water,Meteo,Flux,Radiation,Vegetation,Soils,Water quality / Water chemistry","[{'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Radiation', 'subjectScheme': 'var'}, {'subject': 'Vegetation', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.18709/perscido.2021.11.ds356,Planeterrella polarisation data,PerSCiDo,2021,en,Dataset,,"Data used and described in the following article, submitted to GRL: ""Laboratory experiments confirm the polarization of auroral emissions.""",fabrica,True,findable,0,0,0,0,0,2021-11-24T15:51:42.000Z,2021-11-24T15:51:42.000Z,inist.persyval,vcob,"Physics,Astrophysics and astronomy","[{'lang': 'en', 'subject': 'Physics'}, {'lang': 'en', 'subject': 'Astrophysics and astronomy'}]",['10Mo'],['CSV']
-10.5281/zenodo.4625619,org_attach,Zenodo,2021,,Software,"MIT License,Open Access",Add an entry with attachment in an org-mode file,mds,True,findable,0,0,1,0,0,2021-03-21T15:14:09.000Z,2021-03-21T15:14:10.000Z,cern.zenodo,cern,org-mode,[{'subject': 'org-mode'}],,
-10.26302/sshade/experiment_gp_20181107_001,Pt L3 edge XAS HERFD and XAS transmission of platinum hydrogensulfide complexes in geological fluids (impact of sulfur on the transfer of noble metals by hydrothermal fluids),SSHADE/FAME (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Platinum oxide, chloride, sulfide and polysulfide phases; fluorescence and transmission; 25Â°C 1 bar",mds,True,findable,0,0,0,0,0,2022-12-13T11:19:51.000Z,2022-12-13T11:19:52.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,sulfide,PtS,PtS2,organic molecular solid,C6H12N2O4Pt,chloride,K2PtCl4,K2PtCl6,(NH4)2Pt(S5)3,oxide,PtO2,laboratory measurement,fluorescence emission,None,hard X,hard X-rays,transmission","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'sulfide'}, {'subject': 'PtS'}, {'subject': 'PtS2'}, {'subject': 'organic molecular solid'}, {'subject': 'C6H12N2O4Pt'}, {'subject': 'chloride'}, {'subject': 'K2PtCl4'}, {'subject': 'K2PtCl6'}, {'subject': '(NH4)2Pt(S5)3'}, {'subject': 'oxide'}, {'subject': 'PtO2'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'transmission'}]",['14 spectra'],['ASCII']
-10.26302/sshade/experiment_lb_20170731_002,MIR absorbance spectra of pressed QUE99177 matrix grains (CR Chondrite) under vacuum at different temperatures,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Raw and normalized (baseline-corrected) MIR absorbance spectra of several matrix grains of QUE99177 (CR Chondrite) pressed on a diamond window and measured under vacuum at ambient temperature (22Â°C) and after heating at 300Â°C,mds,True,findable,0,0,0,0,0,2021-05-02T05:47:13.000Z,2021-05-02T05:47:14.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix QUE99177,physically adsorbed phase,adsorbed water,matrix QUE99177 heated at 300Â°C,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix QUE99177'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water'}, {'subject': 'matrix QUE99177 heated at 300Â°C'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['27 spectra'],['ASCII']
-10.5281/zenodo.1199545,Voter Autrement 2017 - Online Experiment,Zenodo,2018,en,Dataset,"Open Data Commons Open Database License 1.0,Open Access","In March and April 2017, we have run a voting experiment during the French presidential election. During this experiment, participants were asked to test several alternative voting methods to elect the French president, like scoring methods, instant-runoff voting, Borda with partial rankings. The experiment was both carried out <em>in situ</em> in polling stations during the first round of the presidential election (using paper ballots), and online during the month preceding the first round, and until the second round of the election (using a web application). A total of 6358 participants took part to the <em>in situ</em> experiment and 37739 participants took part to the online experiment. This dataset contains the answers provided by the participants to the online experiment, with no other processsing than a basic transformation to a set of CSV files.
-
- 
-
-The companion paper available on this repository describes the experimental protocol, the format of the files, and summarizes the precise conditions under which this dataset is available.",legacy,True,findable,0,0,0,0,0,2018-07-25T17:16:23.000Z,2018-07-25T17:17:45.000Z,cern.zenodo,cern,"Election,Social Choice,Experimental Voting","[{'subject': 'Election'}, {'subject': 'Social Choice'}, {'subject': 'Experimental Voting'}]",,
-10.25384/sage.23826552,sj-docx-1-tam-10.1177_17588359231189425 â€“ Supplemental material for Beyond atezolizumab plus bevacizumab in patients with advanced hepatocellular carcinoma: overall efficacy and safety of tyrosine kinase inhibitors in a real-world setting,SAGE Journals,2023,,Text,Creative Commons Attribution Non Commercial 4.0 International,"Supplemental material, sj-docx-1-tam-10.1177_17588359231189425 for Beyond atezolizumab plus bevacizumab in patients with advanced hepatocellular carcinoma: overall efficacy and safety of tyrosine kinase inhibitors in a real-world setting by Manon Falette-Puisieux, Jean-Charles Nault, Mohamed Bouattour, Marie Lequoy, Giuliana Amaddeo, Thomas Decaens, Frederic Di Fiore, Sylvain Manfredi, Philippe Merle, Aurore Baron, Christophe Locher, Anna Pellat and Romain Coriat in Therapeutic Advances in Medical Oncology",mds,True,findable,0,0,0,0,0,2023-08-03T00:08:51.000Z,2023-08-03T00:08:51.000Z,figshare.sage,sage,"Oncology and Carcinogenesis not elsewhere classified,Aged Health Care,Pharmacology and Pharmaceutical Sciences not elsewhere classified,Respiratory Diseases","[{'subject': 'Oncology and Carcinogenesis not elsewhere classified'}, {'subject': 'Aged Health Care'}, {'subject': 'Pharmacology and Pharmaceutical Sciences not elsewhere classified'}, {'subject': 'Respiratory Diseases'}]",['13476 Bytes'],
-10.6084/m9.figshare.16786774,Additional file 8 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 8. IES-R questionnaire (French version).,mds,True,findable,0,0,16,1,0,2021-10-12T03:42:34.000Z,2021-10-12T03:42:37.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['25288 Bytes'],
-10.15454/o93984,Cartographie indicative Ã  lâ€™Ã©chelle dÃ©partementale des alÃ©as rocheux et des forÃªts Ã  fonction de protection,Recherche Data Gouv,2022,,Dataset,,Le LESSEM a dÃ©veloppÃ© un modÃ¨le (Sylvarock) de cartographie indicative Ã  lâ€™Ã©chelle dâ€™un versant des alÃ©as rocheux et des forÃªts susceptibles dâ€™avoir une fonction de protection. Ce modÃ¨le a tout d'abord Ã©tÃ© appliquÃ© sur l'ensemble de l'Arc Alpin (Projet Interreg Espace Alpin ROCKTheAlps) Ã  partir de donnÃ©es disponibles Ã  l'Ã©chelle europÃ©enne avant un dÃ©ploiement sur l'ensemble de la France mÃ©tropolitaine en utilisant des donnÃ©es nationales plus prÃ©cises (action CADOC de la convention INRAE/DGPR du MinistÃ¨re de la transition Ã©cologique et solidaire). Ce dataset rassemble les rÃ©sultats de la cartographie Ã  l'Ã©chelle de la France mÃ©tropolitaine avec un prÃ©dÃ©coupage par DÃ©partement. LESSEM lab has developed a model (Sylvarock) for indicative mapping of rock hazards and forests likely to have a protective function. This model was first applied to the whole of the Alps (Alpine Space Interreg ROCKTheAlps project) from data available at the European level before being deployed throughout mainland France using more precise national data (CADOC action of the INRAE/DGPR agreement of the Ministry of Environment). This dataset gathers results of the mapping at the scale of metropolitan France with a pre-division by Department.,mds,True,findable,573,171,0,0,0,2022-04-14T12:30:30.000Z,2022-04-14T14:49:54.000Z,rdg.prod,rdg,,,,
-10.15778/resif.zl2019,Dense nodal seismic array temporary experiment on the banks of the SÃ©vraisse River in Alpes (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2022,,Dataset,,This experiment consists in continuous seismic records acquired during an entire summer season (early June-early October) at 40 stations along the banks of the SÃ©vraisse River (French Alps). The seismic array consists in sub arrays of 5 sensors designed to enable sub-wavelength analysis while covering a representative part of the river braided reach. Our ultimate goal is to locate river seismic sources generated by sediment transport and/or fluid flow as well as to evaluate their spatial and temporal changes over various scales.,mds,True,findable,0,0,0,0,0,2021-12-06T15:36:24.000Z,2021-12-06T15:38:20.000Z,inist.resif,vcob,"River,Seismic,Morphology,Interferometry,Localisation,Bedload","[{'subject': 'River'}, {'subject': 'Seismic'}, {'subject': 'Morphology'}, {'subject': 'Interferometry'}, {'subject': 'Localisation'}, {'subject': 'Bedload'}]","['40 stations, 590Go (miniseed format)']","['Miniseed data', 'hdf5 data', 'stationXML metadata']"
-10.5281/zenodo.5237188,Serbo-Croatian DBnary archive in original Lemon format,Zenodo,2021,,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Serbo-Croatian language edition, ranging from 16th April 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-23T18:31:03.000Z,2021-08-23T18:31:05.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.15778/resif.fr,"RESIF-RLBP French Broad-band network, RESIF-RAP strong motion network and other seismic stations in metropolitan France",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,1995,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","The FR network code embraces most of the permanent seismic stations installed in metropolitan France and operated by academic research institutes and observatories. In 2014, it includes 1) about fifty broadband stations of the RLBP (RÃ©seau Large Bande Permanent) network, 2) about fourty short period stations of the historical RÃ©NaSS (RÃ©seau National de Surveillance Sismique) network, 3) six broadband stations installaed at the LSBB -low noise underground multidisciplinary laboratory-, 4) some broadband stations on landslides managed by OMIV (Observatoire Multidiciplinaire des InstabilitÃ©s de Versants) and 5) the ANTARES seafloor broadband station in the Ligurian sea. Some of these broadband stations also host a strong motion sensor of the RAP French strong motion network. Broadband stations of the RLBP are part of the national RESIF (RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais) Research Infrastructure. Within this framework, this network is planned to evolve toward a denser and more homogeneous network of ~150 broadband stations by 2018. Each broadband station is equipped with a wide band seismic sensor, usually having a flat response at periods lower than 120s, and a high dynamic acquisition system. Data are collected in near real-time via DSL, satellite or cellar links. Emphasis is put on the continuity of the records and the noise level at the sites to provide high-quality data to the end users. The RESIF Information System manages the data from the broadband stations and collocated accelerometers and freely provides both real time and consolidated data. Quality control of waveforms and metadata updating are performed by EOST (Strasbourg) and OCA (Nice) for the RLBP, RÃ©NaSS, LSSB and ANTARES stations and by OSUG (Grenoble) for the OMIV and RAP stations. Archiving and distribution of every data are carried out by the RESIF datacentre hosted by the University of Grenoble Alpes. Data from short period stations are expected to integrate the system in 2015. All together, these data are used for a wide variety of fundamental and applied studies including seismic imaging of the deep earth, monitoring of the seismic activity in metropolitan France and adjacent regions, source studies of local, regional and teleseismic earthquakes or monitoring of seismic signals related to subsurface processes.",mds,True,findable,0,0,0,26,0,2014-12-05T15:20:35.000Z,2014-12-05T15:20:35.000Z,inist.resif,vcob,"Broad Band,Short Period,Strong motion,France","[{'subject': 'Broad Band'}, {'subject': 'Short Period'}, {'subject': 'Strong motion'}, {'subject': 'France'}]",['Approximately 155 active stations; greater than 7.5 GB/day.'],"['Miniseed data', 'stationXML metadata']"
-10.15778/resif.1e2008,Post-sismic experiment after 8th June 2008 Movri (Greece) event (Peloponesus),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2018,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","120 days deployement of 7 broad band seismological stations in the area of the 8th June 2008 Movri (Greece) event, south of Patras to record the migration towards the north of aftershock sequence",mds,True,findable,0,0,0,1,0,2019-06-26T13:53:09.000Z,2019-06-26T13:53:09.000Z,inist.resif,vcob,"Andravida,2008,Peloponesus,Greece,Seismology,Aftershocks","[{'subject': 'Andravida'}, {'subject': '2008'}, {'subject': 'Peloponesus'}, {'subject': 'Greece'}, {'subject': 'Seismology'}, {'subject': 'Aftershocks'}]","['7 stations, 24 Gb']","['miniseed data', 'stationXML metadata']"
-10.6084/m9.figshare.20221979,Additional file 4 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter caseâ€“control computed tomography study,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 4: Sensitivity analysis,mds,True,findable,0,0,27,1,0,2022-07-04T06:41:11.000Z,2022-07-04T06:41:12.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['87438 Bytes'],
-10.26302/sshade/experiment_sb_20210203_001,T-dependent optical constants of amorphous SiO$_2$,SSHADE/DOCCD (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Optical constants are obtained by reflectance measurements in a temperature range of 10 K to 300 K,mds,True,findable,0,0,0,0,0,2021-02-16T16:16:32.000Z,2021-02-16T16:16:34.000Z,inist.sshade,mgeg,"commercial,silicate,SiO$_2$, amorphous,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'commercial'}, {'subject': 'silicate'}, {'subject': 'SiO$_2$, amorphous'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['4 spectra'],['ASCII']
-10.6084/m9.figshare.12421367,Additional file 3 of Impact of take-home messages written into slide presentations delivered during lectures on the retention of messages and the residentsâ€™ knowledge: a randomized controlled study,figshare,2020,,Text,Creative Commons Attribution 4.0 International,"Additional file 3. Timing of the study (Figure). Legend: THM, take-home message; MCQ: multiple choice question.",mds,True,findable,0,0,18,0,0,2020-06-04T03:57:45.000Z,2020-06-04T03:57:45.000Z,figshare.ars,otjm,"Medicine,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['31826 Bytes'],
-10.6084/m9.figshare.c.6575881,Procalcitonin to reduce exposure to antibiotics and individualise treatment in hospitalised old patients with pneumonia: a randomised study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Treating pneumonia in old patients remains challenging for clinicians. Moreover, bacterial antimicrobial resistance is a major public health threat. Objective The PROPAGE study evaluated the interest of a strategy using serial measurements of procalcitonin (PCT) to reduce the duration of antibiotic therapy in old patients with pneumonia. Methods PROPAGE took place from Dec.-2013 to Jun.-2016 in eight French geriatric units. It was a prospective, comparative, randomised, open-label study involving old patients (â‰¥ 80 years) who had initiated antibiotic treatment for pneumonia in the previous 48 h. PCT was monitored in all patients and two decision-making PCT-based algorithms guided antibiotic therapy in patients from the PCT group. Results 107 patients were randomised (PCT, n = 50; Control, n = 57). Antibiotic therapy exposure was reduced in the PCT group as compared to the Control group (median duration of antibiotic therapy, 8 vs. 10 days [rank-test, p = 0.001]; antibiotic persistence rates on Days 6 and 8, 54% and 44% vs. 91% and 72%) and no significant difference was found in recovery rate (84% vs. 89.5%; Pearson ChiÂ² test, p = 0.402). Conclusion Although, the superiority of the strategy was not tested using a composite criterion combining antibiotic therapy duration and recovery rate was not tested due to the small sample size, the present study showed that monitoring associated with PCT-guided algorithm could help shorten antibiotic treatment duration in the very old patients without detrimental effects. Measuring PCT levels between Day 4 and Day 6 could be helpful when making the decision regarding antibiotic discontinuation. Trial registration NCT02173613. This study was first registered on 25/06/2014.",mds,True,findable,0,0,0,0,0,2023-04-13T09:42:57.000Z,2023-04-13T09:42:57.000Z,figshare.ars,otjm,"Space Science,Medicine,Immunology,FOS: Clinical medicine,Cancer,111714 Mental Health,FOS: Health sciences,110309 Infectious Diseases","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}]",,
-10.25364/19.2021.5.2,Ã‰tude lexicale et arÃ©ale des dÃ©signations du pissenlit en domaine gallo-roman de France,UniversitÃ¤t Graz,2021,,Text,,"RÃ©sumÃ© : Depuis 2015 nous participons au projet Extraction automatisÃ©e des contenus gÃ©olinguistiques
-d'atlas et analyse spatiale : application Ã  la dialectologie (ECLATS, ANR-15-CE-380002).
-Ce projet a pour objectifs de valoriser les atlas linguistiques anciens, tels que l'Atlas linguistique
-de la France (ALF), de faciliter l'exploitation et la diffusion des cartes de l'ALF, de dÃ©finir des modÃ¨les
-combinant les dimensions linguistiques, spatiales et temporelles pour reprÃ©senter les donnÃ©es
-gÃ©o-linguistiques et enfin de proposer des outils permettant le traitement et la gÃ©o-visualisation de
-ces donnÃ©es. Dans le cadre de ce projet, nous avons effectuÃ© le traitement lexical et arÃ©al des dÃ©signations
-du pissenlit Ã  partir de la carte ALF nÂ°1022. Nous proposons ici de prÃ©senter les rÃ©sultats
-de nos recherches.",fabricaForm,True,findable,0,0,0,0,0,2021-03-18T08:30:59.000Z,2021-03-18T08:30:59.000Z,ugraz.unipub,ugraz,,,,
-10.17178/emaa_para-nh3_rotation-hot_9da5b297,Rotation-hot excitation of para-NH3 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",62 rotation-hot energy levels / 133 radiative transitions / 1891 collisional transitions for ortho-H2 (5 temperatures in the range 100-500K) / 1891 collisional transitions for para-H2 (5 temperatures in the range 100-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:25.000Z,2023-12-07T15:52:25.000Z,inist.osug,jbru,"target para-NH3,excitationType Rotation-hot,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation-hot', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.6280986,Understanding monsoon controls on the energy and mass balance of glaciers in the Central and Eastern Himalaya (Data Sets and Codes),Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains AWS datasets for the modelling periods considered in the analysis presented in the research paper, together with ablation measurements, pre-processed forcing data, T&amp;C model codes, outputs and scripts for analysing outputs. When previously published elsewhere, references and links to the full, original datasets are provided under References. Matlab scripts for executing the T&amp;C model are provided and should work stand-alone on any machine with a Matlab version 2019b or later installed.",mds,True,findable,0,0,2,0,0,2022-03-03T21:27:19.000Z,2022-03-03T21:27:20.000Z,cern.zenodo,cern,"glacier, energy balance modelling, debris cover, glacier melt modelling","[{'subject': 'glacier, energy balance modelling, debris cover, glacier melt modelling'}]",,
-10.5281/zenodo.6860527,JASPAR TFBS LOLA databases - Part 1,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the first part of the JASPAR 2022 LOLA databases used by the JASPAR TFBS enrichment tool. For each organism, we provide the LOLA databases for all JASPAR 2022 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly. Due to file sizes, we had to split the repository into two different parts. Part 2 of the repository containing the databases for human can be found here.",mds,True,findable,0,0,0,0,0,2022-07-25T12:25:26.000Z,2022-07-25T12:25:27.000Z,cern.zenodo,cern,,,,
-10.17178/ohmcv.dsd.sou.12-16.1,"DSD network, La Souche",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:20.000Z,2017-10-17T13:24:20.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.26302/sshade/experiment_ak_20141121_1,Mid-infrared attenuated total reflectance experiment with Ca2+ exchanged less 2 Î¼m size fraction of synthetic saponite equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:16:06.000Z,2022-11-04T08:16:07.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Ca-exchanged saponite SAP size-fraction &lt;2 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Ca-exchanged saponite SAP size-fraction &lt;2 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['3 spectra'],['ASCII']
-10.26302/sshade/experiment_tg_20180504_001,"Mid-IR absorption coefficient of Tholins synthesized from N2:CH4 gas with 1, 2, 5 and 10% CH4",SSHADE/SPAN (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR absorption coefficient spectra for a set of Tholins films synthetized by plasma discharge in N2:CH4 gas mixtures with different methane percentages (1, 2, 5 and 10%)",mds,True,findable,0,0,0,0,0,2023-04-20T18:01:25.000Z,2023-04-20T18:01:26.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorption coefficient,Tholins,Tholins LATMOS Film-IR 98%N2:2%CH4,Tholins LATMOS Film-IR 95%N2:5%CH4,Tholins LATMOS Film-IR 90%N2:10%CH4,laboratory,complex macromolecular mixture","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'transmission', 'subjectScheme': 'main'}, {'subject': 'microscopy', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'var'}, {'subject': 'absorption coefficient', 'subjectScheme': 'var'}, {'subject': 'Tholins', 'subjectScheme': 'name'}, {'subject': 'Tholins LATMOS Film-IR 98%N2:2%CH4', 'subjectScheme': 'name'}, {'subject': 'Tholins LATMOS Film-IR 95%N2:5%CH4', 'subjectScheme': 'name'}, {'subject': 'Tholins LATMOS Film-IR 90%N2:10%CH4', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'complex macromolecular mixture', 'subjectScheme': 'compound type'}]",['4 spectra'],['ASCII']
-10.18709/perscido.2023.06.ds392,"The optical shape of natural snow computed with a ray-tracing model. Data from Robledano et al.: Unraveling the optical shape of snow, 2023.",PerSCiDO,2023,,Dataset,,"This dataset contains the simulation results computed with the RSRT model over natural snow samples. 
-
-It contains all the (B, gG) optical shape parameters results for 33 snow samples over the 400 - 1400 nm wavelength range, as well as other relevant results and the codes needed to reproduce the figures in the associated paper:  ""Robledano, A., Picard, G., Dumont, M., Flin, F., Arnaud, L.,  and Libois, Q.: Unraveling the optical shape of snow, Nat. Comm., 2023"".
-
-It contains as well the generated geometric shapes (spheres, cubes and a convex shape) used in the associated paper.",api,True,findable,0,0,0,0,0,2023-06-14T10:02:57.000Z,2023-06-14T10:02:57.000Z,inist.persyval,vcob,"Physics,glaciology,Materials Science,Mathematics,FOS: Mathematics,Environmental Science and Ecology","[{'subject': 'Physics', 'subjectScheme': 'http://www.radar-projekt.org/display/Physics'}, {'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Materials Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Materials_Science'}, {'subject': 'Mathematics', 'subjectScheme': 'http://www.radar-projekt.org/display/Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['500 Mo'],"['CSV', '']"
-10.5281/zenodo.3631244,"Data and figures used in ""Pressure torque of torsional AlfvÃ©n modes acting on an ellipsoidal mantle""",Zenodo,2020,,Dataset,"GNU General Public License v3.0 or later,Open Access","Data, plotting routines and analysis routines to reproduce all results from the article ""Pressure torque of torsional AlfvÃ©n modes acting on an ellipsoidal mantle"". The package uses the freely available code Mire.jl. <strong>Prerequisites</strong> Installed texlive, python/python3 with matplotlib &gt;v2.1 for support of latest colormaps. A working Julia &gt;v1.3. <br> <strong>Install</strong> Open the repository directory and run <pre><code class=""language-bash"">julia install_local.jl</code></pre> to install the package. <strong>Run</strong> To run the calculations and the plots you simply run <pre><code>using Elltorque Elltorque.run(true)</code></pre> <br> from within the Julia REPL (takes around 2-3h). To run without calculating the data use <pre><code>Elltorque.run(false)</code></pre>",mds,True,findable,0,0,0,0,0,2020-04-21T20:00:11.000Z,2020-04-21T20:00:12.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.6t1g1jx0m,Adaptive potential of Coffea canephora from Uganda in response to climate change,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Understanding vulnerabilities of plant populations to climate change could help preserve their biodiversity and reveal new elite parents for future breeding programs. To this end, landscape genomics is a useful approach for assessing putative adaptations to future climatic conditions, especially in long-lived species such as trees. We conducted a population genomics study of 207 Coffea canephora trees from seven forests along different climate gradients in Uganda. For this, we sequenced 323 candidate genes involved in key metabolic and defense pathways in coffee. Seventy-one SNPs were found to be significantly associated with bioclimatic variables, and were thereby considered as putatively adaptive loci. These SNPs were linked to key candidate genes, including transcription factors, like DREB-like and MYB family genes controlling plant responses to abiotic stresses, as well as other genes of organoleptic interest, like the DXMT gene involved in caffeine biosynthesis and a putative pest repellent. These climate-associated genetic markers were used to compute genetic offsets, predicting population responses to future climatic conditions based on local climate change forecasts. Using these measures of maladaptation to future conditions, substantial levels of genetic differentiation between present and future diversity were estimated for all populations and scenarios considered. The populations from the forests Zoka and Budongo, in the northernmost zone of Uganda, appeared to have the lowest genetic offsets under all predicted climate change patterns, while populations from Kalangala and Mabira, in the Lake Victoria region, exhibited the highest genetic offsets. The potential of these findings in terms of ex-situ conservation strategies are discussed.",mds,True,findable,331,30,0,1,0,2022-01-31T07:37:46.000Z,2022-01-31T07:37:47.000Z,dryad.dryad,dryad,"Climate change,Conservation genetics,Landscape genetics,Agriculture","[{'subject': 'Climate change', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Conservation genetics', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Landscape genetics'}, {'subject': 'Agriculture', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['2563202 bytes'],
-10.15778/resif.xf2018,Hazard in Tanzanian Rift : HATARI (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2020,,Dataset,,"HATARI project (HAzard in TAnzania RIft) is an inter-disciplinary project dedicated to the study of the geodynamical processes impact on environment, society and learning abilities. A temporary seismic network of 8 broadband stations have been deployed for a year between Arusha and Olduvai Gorges to study the seismic and volcanic hazard in Northern Tanzania. Four stations were deployed around Mount Meru to record potential micro seismicity, while 4 stations were deployed near Gelai, Ngorongoro, Longido and Mto Wa Mbu to characterise the local seismicity in this particular area of the North Tanzania Divergence.",mds,True,findable,0,0,0,0,0,2021-03-03T09:41:14.000Z,2021-03-03T09:42:04.000Z,inist.resif,vcob,"Temporary Arusha and Lengai seismic network,Seismic hazard,Volcanic hazard,Crustal structure","[{'subject': 'Temporary Arusha and Lengai seismic network'}, {'subject': 'Seismic hazard'}, {'subject': 'Volcanic hazard'}, {'subject': 'Crustal structure'}]","['8 stations, 101Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.17178/emaa_oh_hyperfine_72d6c3c5,"Hyperfine excitation of OH by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",24 hyperfine energy levels / 95 radiative transitions / 264 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 264 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K) / 276 collisional transitions for H (11 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:31.000Z,2023-12-07T15:51:32.000Z,inist.osug,jbru,"target OH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5061/dryad.s3015,Data from: Extreme climate events counteract the effects of climate and land-use changes in Alpine treelines,Dryad,2017,en,Dataset,Creative Commons Zero v1.0 Universal,"Climate change and extreme events, such as drought, threaten ecosystems world-wide and in particular mountain ecosystems, where species often live at their environmental tolerance limits. In the European Alps, plant communities are also influenced by land-use abandonment leading to woody encroachment of subalpine and alpine grasslands. In this study, we explored how the forestâ€“grassland ecotone of Alpine tree lines will respond to gradual climate warming, drought events and land-use change in terms of forest expansion rates, taxonomic diversity and functional composition. We used a previously validated dynamic vegetation model, FATE-HD, parameterized for plant communities in the Ecrins National Park in the French Alps. Our results showed that intense drought counteracted the forest expansion at higher elevations driven by land-use abandonment and climate change, especially when combined with high drought frequency (occurring every 2 or less than 2 years). Furthermore, intense and frequent drought accelerated the rates of taxonomic change and resulted in overall higher taxonomic spatial heterogeneity of the ecotone than would be expected under gradual climate and land-use changes only. Synthesis and applications. The results from our model show that intense and frequent drought counteracts forest expansion driven by climate and land-use changes in the forestâ€“grassland ecotone of Alpine tree lines. We argue that land-use planning must consider the effects of extreme events, such as drought, as well as climate and land-use changes, since extreme events might interfere with trends predicted under gradual climate warming and agricultural abandonment.",mds,True,findable,264,28,1,1,0,2016-06-28T18:41:06.000Z,2016-06-28T18:41:07.000Z,dryad.dryad,dryad,,,['3287641109 bytes'],
-10.6084/m9.figshare.13323652,Additional file 2 of Impact of advance directives on the variability between intensivists in the decisions to forgo life-sustaining treatment,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 2. The two clinical scenarios (text).,mds,True,findable,0,0,33,1,0,2020-12-03T04:34:13.000Z,2020-12-03T04:34:15.000Z,figshare.ars,otjm,"Cell Biology,Biotechnology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['35281 Bytes'],
-10.5281/zenodo.6939154,On the formulation and implementation of extrinsic cohesive zone models with contact - data set,Zenodo,2022,en,Dataset,"Apache License 2.0,Open Access","This data set contains data relating to the paper ""On the formulation and implementation of extrinsic cohesive zone models with contact"", https://doi.org/10.1016/j.cma.2022.115545 , specifically:<br> 1. the meshes used to conduct finite element analyses,<br> 2. the results of those finite element analyses (in the form of vtk files and numpy pickles), and<br> 3. some images of the meshes and the total displacement at the end of the analyses.<br> <br> The corresponding code to generate and read the data is available at https://github.com/nickcollins-craft/On-the-formulation-and-implementation-of-extrinsic-cohesive-zone-models-with-contact (which is the preferred method), or alternatively via https://doi.org/10.5281/zenodo.6939391.",mds,True,findable,0,0,0,3,0,2022-07-29T13:50:36.000Z,2022-07-29T13:50:37.000Z,cern.zenodo,cern,"Extrinsic cohesive zone,Finite element analysis,Dynamic crack propagation,Non-smooth mechanics","[{'subject': 'Extrinsic cohesive zone'}, {'subject': 'Finite element analysis'}, {'subject': 'Dynamic crack propagation'}, {'subject': 'Non-smooth mechanics'}]",,
-10.26302/sshade/experiment_bs_20160912_001,"Vis-NIR bidirectional reflection spectra of simulated slab ice (3 thicknesses: 2.2, 7.5 and 11.4 mm) on snow at âˆ’3Â°C",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR bidirectional reflection spectrum of simulated slab ice (3 thicknesses: 2.2 mm [i=40Â°, e=10Â°, az=140Â°], 7.5 mm [i=40Â°, e=20Â°, az=45Â°] and 11.4 mm [i=60Â°, e=0Â°, az=180Â°]) on snow at âˆ’3Â°C",mds,True,findable,0,0,0,0,0,2020-03-20T11:12:08.000Z,2020-03-20T11:12:09.000Z,inist.sshade,mgeg,"simulated,inorganic molecular solid,H2O ice,numerical modeling,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'simulated'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O ice'}, {'subject': 'numerical modeling'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['3 spectra'],['ASCII']
-10.5061/dryad.060d2,"Data from: Genomics of the divergence continuum in an African plant biodiversity hotspot, I: drivers of population divergence in Restio capensis (Restionaceae)",Dryad,2014,en,Dataset,Creative Commons Zero v1.0 Universal,"Understanding the drivers of population divergence, speciation and species persistence is of great interest to molecular ecology, especially for species-rich radiations inhabiting the worldâ€™s biodiversity hotspots. The toolbox of population genomics holds great promise for addressing these key issues, especially if genomic data are analyzed within a spatially and ecologically explicit context. We have studied the earliest stages of the divergence continuum in the Restionaceae, a species-rich and ecologically important plant family of the Cape Floristic Region (CFR) of South Africa, using the widespread CFR endemic Restio capensis (L.) H.P. Linder &amp; C.R. Hardy as an example. We studied diverging populations of this morphotaxon for chloroplast (cp) DNA sequences and &gt;14 400 nuclear DNA polymorphisms from Restriction site Associated DNA (RAD) sequencing and analyzed the results jointly with spatial, climatic, and phytogeographic data, using a Bayesian generalized linear mixed modeling (GLMM) approach. The results indicate that population divergence across the extreme environmental mosaic of the CFR is driven by isolation-by-environment (IBE) rather than isolation-by-distance (IBD) for both neutral and non-neutral markers, consistent with genome hitchhiking during early stages of divergence. Mixed modeling of cpDNA and single highly divergent outlier loci from a Bayesian genome scan confirmed the predominant role of climate and pointed to additional drivers of divergence, such as drift and ecological agents of selection captured by phytogeographic zones. Our study demonstrates the usefulness of population genomics for disentangling the effects of IBD and IBE along the divergence continuum often found in species radiations across heterogeneous ecological landscapes.",mds,True,findable,290,57,1,1,0,2014-07-22T15:25:10.000Z,2014-07-22T15:25:11.000Z,dryad.dryad,dryad,"Restio capensis,Population Divergence,isolation by environment,Empirical Population Genetics,isolation by adaptation,Ppopulation divergence","[{'subject': 'Restio capensis'}, {'subject': 'Population Divergence'}, {'subject': 'isolation by environment'}, {'subject': 'Empirical Population Genetics'}, {'subject': 'isolation by adaptation'}, {'subject': 'Ppopulation divergence'}]",['24738988 bytes'],
-10.57745/nohrhj,Spatial variability of rainfall driven erosion at the catchment scale: the June 23rd 2010 rainfall event on the Galabre catchment,Recherche Data Gouv,2023,,Dataset,,"This dataset is related to the Galabre basin, a 20 kmÂ² headwater catchment located in the French Alps that is part of the Draix-BlÃ©one Observatory. Liquid and solid discharges are continuously monitored at the catchment outlet (Legout et al. 2021). Soil erosion was modelled for a rainfall event recorded on June 23rd 2010, prescribing the effective rainfall intensity in two different ways: 1) as spatially distributed rainfall fields defined from raster files with spatial and temporal resolutions of 1 km and 15 minutes respectively, and 2) as spatially uniform rainfall fields defined as the spatial average of the rainfall fields over the entire catchment, with a time resolution of 15 minutes. Both rainfall products are equivalent in terms of the spatial average of rainfall intensity at each time step. The only difference between both simulations was the spatial variability of rainfall. The dataset contains two Iber+ models with either options of modelling rainfall, including the rainfall data as .asc rasters, as well as a spreadsheets with the output results of the simulation. The Iber+ model should be run with the executables provided by CEA &amp; GARCIA-FEAL 2023, ""Iber+ executables (V3.2b)"", https://doi.org/10.57745/UFEK4L.",mds,True,findable,19,0,0,0,0,2023-04-04T15:34:19.000Z,2023-04-04T15:57:23.000Z,rdg.prod,rdg,,,,
-10.57745/cm2woi,"Bichromatic melt pool thermal measurement based on a Red, Green, and Blue camera: application to additive manufacturing processes",Recherche Data Gouv,2023,,Dataset,,"The data presented here are related to the research article : ""Bichromatic melt pool thermal measurement based on a Red, Green, and Blue camera: application to additive manufacturing processes"". https://doi.org/10.1016/j.optlastec.2023.109799 Date : Feburary 2023 e-mail : loic.jegou@insa-lyon.fr The measure of temperature fields during additive manufacturing processes usually requires bulky expansive equipement such as infrared cameras. A compact full field thermal sensor was developped in order to accurately measure the temperature and the morpholgy of the melt pool during these processes. It is based on a dual-wavelength radiometrioc model and designed to measure temperatures ranging from 1000K to 2500K. The system is calibrated on a blackbody and a tungsten ribbon lamp. This method is validated with two distinct experiments: -Induction heating of a 316L stainless steel tube in a controlled environnement. The temperature is measured with type K thermocouples and compared to the one measured with the camera. In a first experiment, the tube is placed in an open environnement (with oxygen). In a second experiment, the tube is place in an environnement filled with argon that delays its oxidation. -Fusion of a vanadium rod (with a purity of 99.8%) with a laser impulsion of 350 W for 2 seconds. The fusion temperature of pure vanadium is 2183K, and the camera was used to assess the position of the solidifcation front during the experiment. The camera is then used on two different additive manufacturing processes to identify thermal gradients and highlight the melt pool contours. -Laser metal deposition with powder (LMDP). It consists in melting a small section of a substrate with a highly focused energy source, and continuously delivering feedstock material in this melt pool in the form of powder, layer by layer. The camera captures uspide views of the melt pool. -Wire arc additive manufacturing (WAAM). It is based on Gas Metal Arc Welding processes and consists of melting a metal wire onto the substrate with an electric arc as the heat source. The camera captures side views of the melt pool. Please use appropriate citations and referencing while using this dataset by any means. Contributing authors: LoÃ¯c Jegou, Joel Lachambre, Nicolas Tardif, Mady Guillemot, Anthony Dellarre, Abderrahime Zaoui, Thomas Elguedj, Valerie Kaftandjian and Nicolas Beraud. Any further information could be asked by making a legitimate request to: LoÃ¯c Jegou (loic.jegou@insa-lyon.fr) and Nicolas Tardif (nicolas.tardif@insa-lyon.fr) The folder contains 4 subfolders for every experiments described in the article. Each subfolder contains one folder (image) with the raw images in the format tiff, and a csv file (images_informations.csv) with every informations about the pictures (identification, exposure time, gain, timestamp). - Subfolder 1: Induction_heating, induction heating of a 316L stainless steel tube, - Subfolder 2: Fusion_vanadium, fusion of a Vanadium rod, - Subfolder 3: LMDP, laser metal deposition (with powder), - Subfolder 4: WAAM, wire arc additive manufcaturing. Please refer to the paper for any further scientific details.",mds,True,findable,134,2,0,0,0,2023-02-24T08:50:05.000Z,2023-07-19T10:14:35.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.3372756,Simulations of shallow water wave turbulence,Zenodo,2019,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>About</strong> This dataset curates all the simulations used to reproduce the paper: <em>Shallow water wave turbulence</em><br> DOI: 10.1017/jfm.2019.375 The source code and scripts necessary to generate the manuscript are archived at: https://github.com/ashwinvis/augieretal_jfm_2019_shallow_water See the README in the repository above to generate the manuscript <strong>Abstract</strong> The dynamics of irrotational shallow water wave turbulence forced at large scales and dissipated at small scales is investigated. First, we derive the shallow water analogue of the â€˜four-fifths lawâ€™ of Kolmogorov turbulence for a third-order structure function involving velocity and displacement increments. Using this relation and assuming that the flow is dominated by shocks, we develop a simple model predicting that the shock amplitude scales as \((\epsilon d)^{1/3}\), where \( \epsilon\) is the mean dissipation rate and \(d\) the mean distance between the shocks, and that the \(p\)<sup>th</sup>-order displacement and velocity structure functions scale as \((\epsilon d)^{p/3} r/d\), where \(r\) is the separation. Then we carry out a series of forced simulations with resolutions up to 7680<sup>2</sup>, varying the Froude number,\(F_{f} = (\epsilon L_f)^{1/3}/ c \), where \(L_f\) is the forcing length scale and \(c\) is the wave speed. In all simulations a stationary state is reached in which there is a constant spectral energy flux and equipartition between kinetic and potential energy in the constant flux range. The third-order structure function relation is satisfied with a high degree of accuracy. Mean energy is found to scale approximately as \(E \sim \sqrt{\epsilon L_f c}\), and is also dependent on resolution, indicating that shallow water wave turbulence does not fit into the paradigm of a Richardsonâ€“Kolmogorov cascade. In all simulations shocks develop, displayed as long thin bands of negative divergence in flow visualizations. The mean distance between the shocks is found to scale as \( d \sim F_f^{1/2} L_f\). Structure functions of second and higher order are found to scale in good agreement with the model. We conclude that in the weak limit, \(F_f \rightarrow 0 \), shocks will become denser and weaker and finally disappear for a finite Reynolds number. On the other hand, for a given \(F_f\), no matter how small, shocks will prevail if the Reynolds number is sufficiently large.",mds,True,findable,0,0,0,0,0,2019-08-23T08:21:44.000Z,2019-08-23T08:21:45.000Z,cern.zenodo,cern,"Energy cascade,Energy spectrum,Fluid Dynamics,Shocks,Wave turbulence,FluidSim,FluidDyn","[{'subject': 'Energy cascade'}, {'subject': 'Energy spectrum'}, {'subject': 'Fluid Dynamics'}, {'subject': 'Shocks'}, {'subject': 'Wave turbulence'}, {'subject': 'FluidSim'}, {'subject': 'FluidDyn'}]",,
-10.6084/m9.figshare.24647123,Additional file 1 of Effects of a physical activity and endometriosis-based education program delivered by videoconference on endometriosis symptoms: the CRESCENDO program (inCRease physical Exercise and Sport to Combat ENDOmetriosis) protocol study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Randomization script,mds,True,findable,0,0,0,0,0,2023-11-28T04:40:37.000Z,2023-11-28T04:40:37.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Physiology,Science Policy,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Science Policy'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}]",['12261 Bytes'],
-10.26302/sshade/experiment_gs_20170705_001,Ag K edge XAS transmission of PVP-coated Ag nano-particles,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T08:15:59.000Z,2019-11-16T08:15:59.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,elemental solid,Ag nanoparticle,homopolymer,PVP,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'elemental solid'}, {'subject': 'Ag nanoparticle'}, {'subject': 'homopolymer'}, {'subject': 'PVP'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.10485575,"Fig. 1 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016,,Image,License Not Specified,"Fig. 1. Detoxification of reactive Oi,Î²-unsaturated carbonyl compounds.",api,True,findable,0,0,0,0,0,2024-01-11T04:59:31.000Z,2024-01-11T04:59:31.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.5281/zenodo.3925378,A deep learning reconstruction of mass balance series for all glaciers in the French Alps: 1967-2015,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Glacier mass balance (MB) data are crucial to understand and quantify the regional effects of climate on glaciers and the high-mountain water cycle, yet observations cover only a small fraction of glaciers in the world. We present a dataset of annual glacier-wide surface mass balance of all the glaciers in the French Alps for the 1967-2015 period. This dataset has been reconstructed using deep learning (i.e. a deep artificial neural network), based on direct MB observations and remote sensing annual estimates, meteorological reanalyses and topographical data from glacier inventories. The methodâ€™s validity was assessed through an extensive cross-validation against a dataset of 32 glaciers , with an estimated average error (RMSE) of 0.55 m.w.e. a<sup>-1</sup>, an explained variance (r2) of 75% and an average bias of -0.021 m.w.e. a<sup>-1</sup>. We estimate an average regional area-weighted glacier-wide MB of -0.71Â±0.21 (1 sigma) m.w.e. a<sup>-1</sup> for the 1967-2015 period, with negative mass balances in the 1970s (-0.44 m.w.e. a<sup>-1</sup>), moderately negative in the 1980s (-0.16 m.w.e. a<sup>-1</sup>), and an increasing negative trend from the 1990s onwards, up to -1.34 m.w.e. a<sup>-1</sup> in the 2010s. A comparison with ASTER-derived geodetic MB for the 2000-2015 period showed important differences with the photogrammetric geodetic MB used to train our model. When recalibrating our reconstructions with the new ASTER-derived geodetic MB, the estimated average regional area-weighted glacier-wide MB (1967-2015) is reduced to -0.64Â±0.21 (1 sigma) m.w.e. a<sup>-1</sup>. Following a topographical and regional analysis, we estimate that the massifs with the highest mass losses for the 1967-2015 period are the Chablais (-0.93 m.w.e. a<sup>-1</sup>), Champsaur and Haute-Maurienne (-0.86 m.w.e. a<sup>-1</sup> both) and Ubaye ranges (-0.83 m.w.e. a<sup>-1</sup>), and the ones presenting the lowest mass losses are the Mont-Blanc (-0.69 m.w.e. a<sup>-1</sup>), Oisans and Haute-Tarentaise ranges (-0.75 m.w.e. a<sup>-1</sup> both). This dataset provides relevant and timely data for studies in the fields of glaciology, hydrology and ecology in the French Alps, in need of regional or glacier-specific annual net glacier mass changes in glacierized catchments. The MB dataset is presented in two different formats: (a) A single netCDF file containing the MB reconstructions, the glacier RGI and GLIMS IDs and the glacier names. This file contains all the necessary information to correctly interact with the data, including some metadata with the authorship and data units. (b) A dataset comprised of multiple CSV files, one for each of the 661 glaciers from the 2003 glacier inventory (Gardent et al., 2014), named with its GLIMS ID and RGI ID with the following format: GLIMS-ID_RGI-ID_SMB.csv. Both indexes are used since some glaciers that split into multiple sub-glaciers do not have an RGI ID. Split glaciers have the GLIMS ID of their ""parent"" glacier and an RGI ID equal to 0. Every file contains one column for the year number between 1967 and 2015 and another column for the annual glacier-wide MB time series. Glaciers with remote sensing-derived estimates (Rabatel et al., 2016) include this information as an additional column. This allows the user to choose the source of data, with remote sensing data having lower uncertainties (0.35Â±0.06 () m.w.e. a<sup>-1</sup> as estimated in Rabatel et al. (2016)). Columns are separated by semicolon (;).",mds,True,findable,0,0,0,0,0,2020-07-01T11:14:14.000Z,2020-07-01T11:14:14.000Z,cern.zenodo,cern,"glacier,glacier mass balance,mountain glaciers,climate change,french alps","[{'subject': 'glacier'}, {'subject': 'glacier mass balance'}, {'subject': 'mountain glaciers'}, {'subject': 'climate change'}, {'subject': 'french alps'}]",,
-10.5281/zenodo.5765565,DATA_PRF2021_Chauchat,Zenodo,2021,en,Other,"Creative Commons Attribution 4.0 International,Open Access","The repository contains 2 netcdf files, the file PRF2021_ChauchatEtAl.nc contains sheet-flow experimental data from Revil-Baudard et al. (JFM 2015, 2016) as well as two-fluid LES data by Cheng et al. (AWR 2018) using sedFOAM. The file ShenDataPRF.nc contains experimental data from Shen and Lemmin (JHR 1999). The folder Lyn2008 contains the data for Schmidt number gathered by Lyn (2008). The python script figuresPRFnc.py allows to read the data and make the figures from the article Chauchat et al. (PRF 2021).",mds,True,findable,0,0,0,0,0,2021-12-07T20:58:07.000Z,2021-12-07T20:58:08.000Z,cern.zenodo,cern,"Sediment transport,Suspended load,Turbulent Sclmidt Number","[{'subject': 'Sediment transport'}, {'subject': 'Suspended load'}, {'subject': 'Turbulent Sclmidt Number'}]",,
-10.5281/zenodo.7689499,Code and Data Presented in JFSMA 2023,Zenodo,2023,,Software,Closed Access,Code of the simulation<br> Graphs and raw data obtained through simulations Models used for model checking,mds,True,findable,0,0,0,0,0,2023-03-01T18:01:45.000Z,2023-03-01T18:01:45.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3630439,Convergence in voice fundamental frequency in a joint speech production task - Dataset,Zenodo,2020,fr,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains fundamental frequency values for 30 pairs of participants performing an alternate reading task. Fundamental frequency in each speaker's speech was artificially modified in real-time during the task. We provide both the untransformed and transformed fundamental frequency values. Full description of the experimental setup is found in &lt; insert paper DOI here &gt; The data is organised as follows: data for each pair is stored in a separate folder with the pair ID as the folder name each folder contains two repetitions of the task, as produced in a zero-phase and pi-phase condition, respectively file names ending with '<strong>f0</strong>' contain fundamental frequency data, sampled every 10 ms file names ending with '<strong>turns</strong>' contain time onsets of speaking turns The format of '<strong>f0</strong>' files is as follows: '<strong>t</strong>': time in seconds '<strong>ch</strong>': channel of the recording, indicating the participant (<em>A</em> or <em>B</em>) '<strong>f0_unstransf</strong>': fundamental frequency values as produced by the participant (untransformed) in Hertz '<strong>f0_transf</strong>': fundamental frequency values as heard by the other participant (transformed) in Hertz The format of '<strong>turns</strong>' files is as follows: '<strong>ch</strong>': channel of the recording, indicating the participant (<em>A</em> or <em>B</em>), or both participants at once (<em>joint</em>) '<strong>turn</strong>': index of the reading turn '<strong>type</strong>': turn type. Either <em>speech</em> or <em>silence</em> for each participant, or <em>turn</em> for the joint description. '<strong>t</strong>': turn onset in seconds",mds,True,findable,1,0,0,0,0,2020-01-29T16:09:42.000Z,2020-01-29T16:09:43.000Z,cern.zenodo,cern,"Fundamental frequency,Voice transformation,Joint reading task,Phonetic convergence","[{'subject': 'Fundamental frequency'}, {'subject': 'Voice transformation'}, {'subject': 'Joint reading task'}, {'subject': 'Phonetic convergence'}]",,
-10.34847/nkl.ef903o6v,"Taciti et C. Velleii Paterculi scripta quae exstant; recognita, emaculata. Additique commentarii copiosissimi et notae non antea editae Paris e typographia Petri Chevalier, in monte diui Hilarii - II-0491",NAKALA - https://nakala.fr (Huma-Num - CNRS),2020,,Image,,,api,True,findable,0,0,0,0,0,2023-02-05T15:02:14.000Z,2023-02-05T15:02:14.000Z,inist.humanum,jbru,,,['52597290 Bytes'],['image/tiff']
-10.6084/m9.figshare.21368764,Additional file 1 of Acute mesenteric ischemia: updated guidelines of the World Society of Emergency Surgery,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Table S3. Summary of the updated 2022 guidelines for AMI: statements and recommendations.,mds,True,findable,0,0,0,0,0,2022-10-20T06:32:08.000Z,2022-10-20T06:32:09.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Neuroscience,Biotechnology,80699 Information Systems not elsewhere classified,FOS: Computer and information sciences","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': '80699 Information Systems not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['26216 Bytes'],
-10.17178/emaa_ortho-nh3_rotation_331d9739,"Rotation excitation of ortho-NH3 by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 25 radiative transitions / 136 collisional transitions for H (20 temperatures in the range 10-200K) / 136 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 136 collisional transitions for para-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:56.000Z,2023-12-07T15:51:57.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Rotation,collisional excitation,collider.0 H,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_para-nh3_rotation_44e467bd,"Rotation excitation of para-NH3 by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",34 rotation energy levels / 56 radiative transitions / 561 collisional transitions for H (20 temperatures in the range 10-200K) / 561 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 561 collisional transitions for para-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:17.000Z,2021-11-17T14:02:19.000Z,inist.osug,jbru,"target para-NH3,excitationType Rotation,collisional excitation,collider.0 H,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.10693937,Conception et optimisation d'un rÃ©acteur de type MSFR en sels chlorures et en cycle uranium,Zenodo,2024,fr,Text,Creative Commons Attribution 4.0 International,"Depuis le dÃ©but des annÃ©es 2000 et suite Ã  la loi Bataille en France, lâ€™Ã©quipe MSFR du LPSC de Grenoble a repris le concept des rÃ©acteurs Ã  sels fondus, donnant progressivement forme au Molten Salt Fast Reactor (MSFR) de rÃ©fÃ©rence. Ce surrÃ©gÃ©nÃ©rateur de 3GWth utilise des sels Ã  base fluor et le cycle thorium. Dans lâ€™optique de proposer un modÃ¨le plus Ã  mÃªme dâ€™utiliser les matiÃ¨res disponibles (uranium appauvri et noyaux lourds des combustibles usÃ©s), cette thÃ¨se porte sur lâ€™Ã©tude dâ€™un MSFR en cycle uranium.Pour sâ€™affranchir dâ€™Ã©ventuels problÃ¨mes de solubilitÃ© des transuraniens (TRU) en sels fluorures, le sel combustible retenu est un mÃ©lange eutectique NaCl-appUCl3-(TRU)Cl3. Ce sel Ã©tant un moins bon caloporteur et plus transparent aux neutrons que son Ã©quivalent du MSFR fluorure de rÃ©fÃ©rence, les travaux de thÃ¨se ont dâ€™abord portÃ© sur des Ã©tudes du volume optimal de sel combustible, qui a Ã©tÃ© portÃ© de 18m3 (MSFR de rÃ©fÃ©rence) Ã  45m3 (MSFR-Cl). Un volume de 20m3 se trouve dans le coeur (optimisation neutronique) et 25m3 sont dans les boucles de recirculation contenant les Ã©changeurs de chaleur (optimisation thermique). Pour amÃ©liorer le facteur de rÃ©gÃ©nÃ©ration du rÃ©acteur, une couverture fertile radiale est placÃ©e autour de la zone centrale. La composition du sel fertile rÃ©sulte dâ€™une optimisation principalement entre le dÃ©bit de retraitement et la rÃ©sistance Ã  la prolifÃ©ration. Les Ã©tudes de conception effectuÃ©es durant la thÃ¨se incluent le dimensionnement des protections neutroniques en tenant compte de la circulation des prÃ©curseurs de neutrons retardÃ©s, et du vase dâ€™expansion dÃ©diÃ© Ã  accommoder la dilatation du sel combustible.Pour tirer un maximum de bÃ©nÃ©fices de la forme liquide des sels, le rÃ©acteur peut Ãªtre connectÃ© Ã  une unitÃ© de traitement. Lâ€™extraction rÃ©guliÃ¨re des produits de fission permet ainsi de rÃ©duire le terme source et les processus de corrosion tout en amÃ©liorant lâ€™Ã©conomie neutronique, et ce sans besoin dâ€™arrÃªt du rÃ©acteur. Un schÃ©ma de principe du traitement envisagÃ© a Ã©tÃ© conÃ§u durant la thÃ¨se en collaboration avec des experts en chimie.Des calculs neutroniques statiques puis en Ã©volution ont Ã©tÃ© rÃ©alisÃ©s avec divers codes neutroniques (MCNP couplÃ© au code dâ€™Ã©volution REM, Serpent2) pour Ã©valuer les performances du systÃ¨me (contre-rÃ©actions, bilans massiques). Des Ã©tudes prÃ©liminaires de dÃ©ploiement de ce type de rÃ©acteurs ont Ã©tÃ© menÃ©es pour Ã©valuer lâ€™impact de lâ€™insertion du MSFR-Cl dans un parc de REP, en comparaison du MSFR de rÃ©fÃ©rence.Pour finir, et suite aux limites rencontrÃ©es avec le MSFR-Cl, un modÃ¨le innovant d'incinÃ©rateur de petite taille en cycle uranium Ã  couverture fertile thoriÃ©e a Ã©tÃ© Ã©tudiÃ©, pour proposer un outil de transition du cycle uranium vers le cycle thorium.",api,True,findable,0,0,0,0,1,2024-02-22T16:13:43.000Z,2024-02-22T16:13:43.000Z,cern.zenodo,cern,,,,
-10.15454/m7ok9e,Flux tower by Eddy Covariance and InfraRed scintillometry on ORACLE observatory,Portail Data INRAE,2020,,Dataset,,Observational data from flux tower and infrared scintillometry. Data are associated with micro-meteorological data. All data is measured at high-frequency. Data have been collected during CRITEX/EQUIPEX project on the Oracle-Orgeval observatory (INRAE). These data are free available from BDOH database (https://bdoh.irstea.fr/ORACLE/).,mds,True,findable,3526,0,0,0,0,2020-03-27T11:57:36.000Z,2020-03-27T11:57:37.000Z,rdg.prod,rdg,,,,
-10.26302/sshade/experiment_jg_20091029_002,"Vis-NIR reflectance spectra of Werder (Ogaden, Ethiopia) basalt powder",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Werder (Ogaden, Ethiopia) basalts altered in hot conditions with globally increasing aridity since Late Oligocene. The samples are cobble fragments sampled from the same outcrop. The experiment contains spectra of the powder of the alteration rind and of the internal part of the samples.",mds,True,findable,0,0,0,0,0,2019-12-09T05:13:51.000Z,2019-12-09T05:13:51.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,carbonate,calcite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'carbonate'}, {'subject': 'calcite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['6 spectra'],['ASCII']
-10.5281/zenodo.7602827,Military Air Defense System Requirements,Zenodo,2023,en,Dataset,"GNU Lesser General Public License v3.0 or later,Open Access","This repository contains the military air defense system requirements described in ""Automatic requirements extraction, analysis, and graph representation using an approach derived from computational linguistics"" by Faisal Mokammel, Eric CoatanÃ©a, Joonas CoatanÃ©a, Vladislav Nenchev, Eric Blanco, and Matti Pietola.",mds,True,findable,0,0,0,0,0,2023-02-03T12:38:28.000Z,2023-02-03T12:38:28.000Z,cern.zenodo,cern,"contradiction analysis,network representation,requirements management,similarity","[{'subject': 'contradiction analysis'}, {'subject': 'network representation'}, {'subject': 'requirements management'}, {'subject': 'similarity'}]",,
-10.5281/zenodo.7499383,"Trajectory files for ""Where does the energy go during the interstellar NH3 formation on water ice? A computational study""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","CP2K trajectory files for the N+H, NH + H and NH2 + H reactions on the amorphous water ice surface",mds,True,findable,0,0,0,0,0,2023-01-02T15:10:54.000Z,2023-01-02T15:10:55.000Z,cern.zenodo,cern,,,,
-10.34847/nkl.a0fe865m,"Au pied des sources. ItinÃ©raire de Marie-France, le 5 avril 2019 Ã  Livet",NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,Other,,"ItinÃ©raire rÃ©alisÃ© dans le cadre du projet de recherche-crÃ©ation Les Ondes de lâ€™Eau : MÃ©moires des lieux et du travail dans la vallÃ©e de la Romanche. AAU-CRESSON (Laure Brayer, direction scientifique) - Regards des Lieux (Laure NicoladzÃ©, direction culturelle). 
-
-Marie-France est nÃ©e Ã  Livet. AprÃ¨s avoir passÃ© la moitiÃ© de sa vie ailleurs, elle y est aujourdâ€™hui revenue.
-Elle a cofondÃ© il y a deux ans lâ€™association Marcheurs et Coureurs des Gorges de la Romanche qui rÃ©nove les chemins pÃ©destres de la vallÃ©e. Ce jour dâ€™avril ensoleillÃ© il venait de neiger et nous nous sommes promenÃ©s dans les rues de la RenardiÃ¨re en direction du Fontario, oÃ¹ des sources anciennement captÃ©es jaillissent en pleine forÃªt pour retourner ensuite dans le cours tumultueux de la Romanche.",api,True,findable,0,0,0,0,0,2022-06-27T12:22:30.000Z,2022-06-27T12:22:30.000Z,inist.humanum,jbru,"mÃ©thode des itinÃ©raires,environnement sonore,forÃªt,perception de l'espace,dÃ©sindustrialisation,patrimoine industriel,pollution de l'air,Keller, Charles Albert (1874-1940 , IngÃ©nieur A&amp;M),Romanche, VallÃ©e de la (France),Ã©nergie hydraulique,climat de montagne,montagnes -- amÃ©nagement,Perception sensible,Histoires de vie,paysage de l'eau,histoire orale,Marche,Sens et sensations,MÃ©moires des lieux,roman-photo,itinÃ©raire,matÃ©riaux de terrain Ã©ditorialisÃ©s","[{'lang': 'fr', 'subject': 'mÃ©thode des itinÃ©raires'}, {'lang': 'fr', 'subject': 'environnement sonore'}, {'lang': 'fr', 'subject': 'forÃªt'}, {'lang': 'fr', 'subject': ""perception de l'espace""}, {'lang': 'fr', 'subject': 'dÃ©sindustrialisation'}, {'lang': 'fr', 'subject': 'patrimoine industriel'}, {'lang': 'fr', 'subject': ""pollution de l'air""}, {'lang': 'fr', 'subject': 'Keller, Charles Albert (1874-1940 , IngÃ©nieur A&amp;M)'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e de la (France)'}, {'lang': 'fr', 'subject': 'Ã©nergie hydraulique'}, {'lang': 'fr', 'subject': 'climat de montagne'}, {'lang': 'fr', 'subject': 'montagnes -- amÃ©nagement'}, {'lang': 'fr', 'subject': 'Perception sensible'}, {'lang': 'fr', 'subject': 'Histoires de vie'}, {'lang': 'fr', 'subject': ""paysage de l'eau""}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'Marche'}, {'lang': 'fr', 'subject': 'Sens et sensations'}, {'lang': 'fr', 'subject': 'MÃ©moires des lieux'}, {'lang': 'fr', 'subject': 'roman-photo'}, {'lang': 'fr', 'subject': 'itinÃ©raire'}, {'lang': 'fr', 'subject': 'matÃ©riaux de terrain Ã©ditorialisÃ©s'}]","['10680951 Bytes', '326384 Bytes', '110947 Bytes', '347698 Bytes', '1394463 Bytes', '1220074 Bytes', '1253240 Bytes', '1173528 Bytes', '1398574 Bytes', '1384255 Bytes', '1618130 Bytes', '1196287 Bytes', '1259731 Bytes', '1361277 Bytes', '1403907 Bytes', '1028221 Bytes']","['application/pdf', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg']"
-10.5061/dryad.ksn02v75q,A multicentre study on spontaneous in-cage activity and micro-environmental conditions of IVC housed C57BL/6J mice during consecutive cycles of bi-weekly cage change,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Mice respond to a cage change (CC) with altered activity, disrupted sleep and increased anxiety. A bi-weekly cage change is, therefore, preferred over a shorter CC interval and is currently the prevailing routine for Individually ventilated cages (IVCs). However, the build-up of ammonia (NH3) during this period is a potential threat to the animal health and the literature holds conflicting reports leaving this issue unresolved. We have therefor examined longitudinally in-cage activity, animal health and the build-up of ammonia across the cage floor with female and male C57BL/6 mice housed four per IVC changed every other week. We used a multicentre design with a standardised husbandry enabling us to tease-out features that replicated across sites from those that were site-specific. CC induce a marked increase in activity, especially during daytime (~50%) when the animals rest. A reduction in density from four to two mice did not alter this response. This burst was followed by a gradual decrease till the next cage change. Female but not male mice preferred to have the latrine in the front of the cage. Male mice allocate more of the activity to the latrine free part of the cage floor already the day after a CC. A behaviour that progressed through the CC cycle but was not impacted by the type of bedding used. Reducing housing density to two mice abolished this behaviour. Female mice used the entire cage floor the first week while during the second week activity in the latrine area decreased. Measurement of NH3 ppm across the cage floor revealed x3 higher values for the latrine area compared with the opposite area. NH3 ppm increases from 0-1 ppm to reach â‰¤25 ppm in the latrine free area and 50-100 ppm in the latrine area at the end of a cycle. As expected in-cage bacterial load covaried with in-cage NH3 ppm. Histopathological analysis revealed no changes to the upper airways covarying with recorded NH3 ppm or bacterial load. We conclude that housing of four (or equivalent biomass) C57BL/6J mice for 10 weeks under the described conditions does not cause any overt discomfort to the animals.",mds,True,findable,169,4,0,0,0,2022-05-02T17:25:52.000Z,2022-05-02T17:25:53.000Z,dryad.dryad,dryad,"FOS: Animal and dairy science,FOS: Animal and dairy science","[{'subject': 'FOS: Animal and dairy science', 'subjectScheme': 'fos'}, {'subject': 'FOS: Animal and dairy science', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['80979400 bytes'],
-10.26302/sshade/experiment_gl_20150101_1,Mid-infrared diffuse reflectance experiment with chlorite (Mg-chamosite) heated in-situ from 25 to 800Â°C,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:24:14.000Z,2022-11-04T08:24:14.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,chamosite,commercial,elemental solid,Synthetic diamond powder,laboratory measurement,diffuse reflection,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'chamosite'}, {'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'Synthetic diamond powder'}, {'subject': 'laboratory measurement'}, {'subject': 'diffuse reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['4 spectra'],['ASCII']
-10.5281/zenodo.10551644,Data for the Discrete Image correlation tutorial of spam,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Data and folder structure for the Discrete Image Correlation tutorial of spam available here: spam DDIC tutorial.Â 
-
-The objective of the tutorial is to measure particle kinematics (i.e., particle tracking) with the scripts available in spam. The data used is from a study on granular materials using x-ray tomography, available here: Article. The experiment is called LENGP04, and correspond to a cylinder full of lentils initially oriented at 45Â° and deformed under triaxial compression. Repeated x-ray tomography scans are taken each 1% of axial shortening.Â The data of the tutorial correspond to the grey-scale volumes of the first six scans, (fromÂ LENGP04_00.tif to LENGP05_00.tif), as well as the segmentation of the initial scan (LENGP04_00-lab.tif).
-
-The complete dataset with the grey-scale volumes for all the specimens of the experimental campaign, along with the processed results, is available here: Zenodo link.",api,True,findable,0,0,0,0,1,2024-01-22T14:58:27.000Z,2024-01-22T14:58:27.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.78642,Data from: Controlling false discoveries in genome scans for selection,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"Population differentiation (PD) and ecological association (EA) tests have recently emerged as prominent statistical methods to investigate signatures of local adaptation using population genomic data. Based on statistical models, these genome-wide testing procedures have attracted considerable attention as tools to identify loci potentially targeted by natural selection. An important issue with PD and EA tests is that incorrect model specification can generate large numbers of false positive associations. Spurious association may indeed arise when shared demographic history, patterns of isolation by distance, cryptic relatedness or genetic background are ignored. Recent works on PD and EA tests have widely focused on improvements of test corrections for those confounding effects. Despite significant algorithmic improvements, there is still a number of open questions on how to check that false discoveries are under control and implement test corrections, or how to combine statistical tests from multiple genome scan methods. This tutorial paper provides a detailed answer to these questions. It clarifies the relationships between traditional methods based on allele frequency differentiation and EA methods, and provides a unified framework for their underlying statistical tests. We demonstrate how techniques developed in the area of genome-wide association studies, such as inflation factors and linear mixed models, benefit genome scan methods, and provide guidelines for good practice while conducting statistical tests in landscape and population genomic applications. Finally, we highlight how the combination of several well-calibrated statistical tests can increase the power to reject neutrality, improving our ability to infer patterns of local adaptation in large population genomic datasets.",mds,True,findable,321,59,1,1,0,2015-12-09T20:00:16.000Z,2015-12-09T20:00:17.000Z,dryad.dryad,dryad,"Natural Selection and Contemporary Evolution,Bioinfomatics/Phyloinfomatics","[{'subject': 'Natural Selection and Contemporary Evolution'}, {'subject': 'Bioinfomatics/Phyloinfomatics'}]",['9571616 bytes'],
-10.26302/sshade/experiment_rc_20200622_000,VIS reflectance spectra collected during electron irradiation experiments of compact slabs of salty ice prepared by slowly freezing solutions of NaCl with different concentrations.,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Spherical salty ice particles are produced by spraying droplets of NaCl solutions into liquid nitrogen with the SPIPA-B setup and 9mm-thick samples are produced from this material. The samples are then introduced into the MEFISTO chamber, placed on a liquid nitrogen cooling plate, and the chamber is evacuated to high vacuum. The samples can then be bombarded with energetic electrons at different energies and fluxes and VIS hyperspectral images are collected.",mds,True,findable,0,0,0,0,0,2023-07-31T13:29:37.000Z,2023-07-31T13:29:37.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,reflectance factor,water ice,NaCl hydrate,laboratory,inorganic molecular solid,chloride","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'NaCl hydrate', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'chloride', 'subjectScheme': 'compound type'}]",['18 spectra'],['ASCII']
-10.5281/zenodo.10640565,"Dataset for the Paper ""Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Dataset used for the paper ""Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023"" submitted at REP'24.
-
-The associated analysis scripts are available on Software-Heritage: https://archive.softwareheritage.org/swh:1:dir:8910bfe0983a77aa547e8eb08cf24a41584654c3;origin=https://github.com/GuilloteauQ/artefact-lifetime;visit=swh:1:snp:7f5a596f815bf3b05f3b45a0fad7d3205144e5ee;anchor=swh:1:rev:f45f51d5a9cc5b67e8a8c1e231c7b7f09fd24a32",api,True,findable,0,0,0,0,2,2024-02-09T14:40:27.000Z,2024-02-09T14:40:27.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3405119,Proteomic characterization of human exhaled breath condensate.,Zenodo,2018,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","datasets from 3 studies, for In-depth proteomics characterization of exhaled breath condensate (EBC). 1) Lacombe M. et al, 2018 2) Muccilli V. et al, 2015 3) Bredberg A. et al, 2012",mds,True,findable,367,0,0,0,0,2019-09-11T12:00:51.000Z,2019-09-11T12:00:51.000Z,cern.zenodo,cern,"proteomics, exhaled breath condensate","[{'subject': 'proteomics, exhaled breath condensate'}]",,
-10.6084/m9.figshare.16786753,Additional file 1 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Study protocol version 3.,mds,True,findable,0,0,16,1,0,2021-10-12T03:41:55.000Z,2021-10-12T03:41:56.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['656137 Bytes'],
-10.57745/ngc4j0,Long-term monitoring of near-surface soil temperature on the four high summits of Mercantour included in the GLORIA project,Recherche Data Gouv,2023,,Dataset,,"Monitoring of near-surface soil temperature on high summits. Data is part of the long-term monitoring program GLORIA https://gloria.ac.at/home and correspond to the FR-AME site located in Mercantour. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in Â°C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,61,7,0,0,0,2023-03-27T12:53:09.000Z,2023-07-18T08:20:24.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.8410346,Ã‰tude des applications Bag-of-Tasks du mÃ©so-centre Gricad,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data from the CiGri middleware running on the Gricad center: version 1: from Jan 2017 to Nov 202, analysis scripts are available here version 2: from Jan 2013 to Apr 2023, analysis scripts are available here This data has been used to produce the document https://hal.archives-ouvertes.fr/hal-03702246 SWH: https://archive.softwareheritage.org/swh:1:rev:7a249f4e726644ad119a29dffe42ff0075eaaecd;origin=https://gitlab.inria.fr/cigri-ctrl/compas22_etude_bot_gricad;visit=swh:1:snp:df9e28f8d6542d06b13f404bc1f47c457582cf64",mds,True,findable,0,0,0,0,0,2023-10-05T12:29:36.000Z,2023-10-05T12:29:36.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.16851117,Additional file 24 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 24: Fig. S16. Association between NME4 and markers of EMT and tumor invasion in the human breast tumor TCGA database. The database was retrieved for mRNA expression of NME4 and EMT (KRT18, CDH2, ZEB2, CTNNB1, CLDN3) and tumor invasion (MMP7, ADAM17, ROCK2, CFL2, MYO5A) markers and their correlation analyzed (seeÂ Additional file 23: Table S4 ).",mds,True,findable,0,0,93,1,0,2021-10-22T04:06:02.000Z,2021-10-22T04:06:05.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['18443258 Bytes'],
-10.17178/emaa_ortho-nhd2_rotation_a29be09d,Rotation excitation of ortho-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 rotation energy levels / 48 radiative transitions / 120 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:58.000Z,2021-11-17T14:02:00.000Z,inist.osug,jbru,"target ortho-NHD2,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.6084/m9.figshare.24202747,Additional file 1 of Obstructive sleep apnea: a major risk factor for COVID-19 encephalopathy?,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Supplemental Table 1. Comparison of patient demographic characteristics between definite OSA group and No OSA group.,mds,True,findable,0,0,0,0,0,2023-09-27T03:26:07.000Z,2023-09-27T03:26:07.000Z,figshare.ars,otjm,"Biophysics,Medicine,Cell Biology,Neuroscience,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Cancer,Mental Health,Virology","[{'subject': 'Biophysics'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Virology'}]",['31583 Bytes'],
-10.26302/sshade/experiment_lb_20170725_001,"Mid-IR absorbance spectra of bulk CR chondrites in KBr pellets at ambient temperature, 150Â°C and 300Â°C",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR absorbance spectra of 6 bulk CR chondrites (GRA06100, GRO03116, GRO95577, LAP02342, RBT04133, PCA91082) in KBr pellets at 3 different temperatures: ambient temperature, 150Â°C and 300Â°C",mds,True,findable,0,0,0,1,0,2020-03-18T17:13:47.000Z,2020-03-18T17:13:48.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix GRO03116,complex mineral mix,chondrules GRO03116,CAIs GRO03116,physically adsorbed phase,adsorbed water on GRO03116 bulk,commercial,bromide,KBr,adsorbed water on KBr (Beck14),matrix GRO03116 heated at 150C,matrix GRO03116 heated at 300C,matrix LAP02342,chondrules LAP02342,CAIs LAP02342,adsorbed water on LAP02342 bulk,matrix LAP02342 heated at 150C,matrix LAP02342 heated at 300C,matrix RBT04133,chondrules RBT04133,CAIs RBT04133,adsorbed water on RBT04133 bulk,matrix RBT04133 heated at 150C,matrix GRA06100,chondrules GRA06100,CAIs GRA06100,adsorbed water on GRA06100 bulk,matrix GRA06100 heated at 150C,matrix GRA06100 heated at 300C,matrix PCA91082,chondrules PCA91082,CAIs PCA91082,adsorbed water on PCA91082 bulk,matrix PCA91082 heated at 150C,matrix PCA91082 heated at 300C,matrix GRO95577 heated at 150C,chondrules GRO95577,CAIs GRO95577,adsorbed water on GRO95577 bulk,matrix GRO95577 heated at 300C,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix GRO03116'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules GRO03116'}, {'subject': 'CAIs GRO03116'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water on GRO03116 bulk'}, {'subject': 'commercial'}, {'subject': 'bromide'}, {'subject': 'KBr'}, {'subject': 'adsorbed water on KBr (Beck14)'}, {'subject': 'matrix GRO03116 heated at 150C'}, {'subject': 'matrix GRO03116 heated at 300C'}, {'subject': 'matrix LAP02342'}, {'subject': 'chondrules LAP02342'}, {'subject': 'CAIs LAP02342'}, {'subject': 'adsorbed water on LAP02342 bulk'}, {'subject': 'matrix LAP02342 heated at 150C'}, {'subject': 'matrix LAP02342 heated at 300C'}, {'subject': 'matrix RBT04133'}, {'subject': 'chondrules RBT04133'}, {'subject': 'CAIs RBT04133'}, {'subject': 'adsorbed water on RBT04133 bulk'}, {'subject': 'matrix RBT04133 heated at 150C'}, {'subject': 'matrix GRA06100'}, {'subject': 'chondrules GRA06100'}, {'subject': 'CAIs GRA06100'}, {'subject': 'adsorbed water on GRA06100 bulk'}, {'subject': 'matrix GRA06100 heated at 150C'}, {'subject': 'matrix GRA06100 heated at 300C'}, {'subject': 'matrix PCA91082'}, {'subject': 'chondrules PCA91082'}, {'subject': 'CAIs PCA91082'}, {'subject': 'adsorbed water on PCA91082 bulk'}, {'subject': 'matrix PCA91082 heated at 150C'}, {'subject': 'matrix PCA91082 heated at 300C'}, {'subject': 'matrix GRO95577 heated at 150C'}, {'subject': 'chondrules GRO95577'}, {'subject': 'CAIs GRO95577'}, {'subject': 'adsorbed water on GRO95577 bulk'}, {'subject': 'matrix GRO95577 heated at 300C'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['16 spectra'],['ASCII']
-10.5281/zenodo.5950801,"DataMerge, a command line tool to interpolate data files of time series... and much more",Zenodo,2022,,Software,"GNU General Public License v2.0 or later,Open Access","<strong>DataMerge</strong> DataMerge is a linux command line which allows to merge a number of datafiles organised in columns indexed in a one-dimensional way into a single dataset. It can handle files of data tabulated on different grids, by using interpolation methods. E.g., data recorded every 10 seconds and data recorded every 15 seconds can be interpolated into either grid. Interpolation can be linear between adjacent points, or use a least-square approximation on a moving window. It also allows to process columns individually, perform cross-column calculations or change the unit in which quantities are expressed. Several other methods also allow to perform cross-row calculations, such as finite differences or normalisation by an automatically detected entry row. <strong>Functionalities</strong> Interpolate between datasets Select values Normalise data by value reached at some timepoint Multiple columns bulk management Multicolumn statistics (expanded in v1.1.0) Calculate finite differences Cumulate values across rows (new in v1.1.0) Interpolate between datasets with LOESS Calculate derivatives with LOESS <strong>See the DataMerge wiki for more!</strong> <strong>Example</strong> <pre><code class=""language-bash"">datamerge -f \ --reference example/dataset_sampling_3.tsv 'time_sampling_3' \ 'line_sampling_3 time_sampling_3 sinusoidal exponential' \ --input example/dataset_sampling_7.tsv 'time_sampling_7' \ 'line_sampling_7 time_sampling_7 cosinusoidal exponential_sampling_7' \ -o example/linear_interpolation.tsv 'time' \ 'sinusoidal cosinusoidal exponential exponential-exponential_sampling_7 sinusoidal^2+cosinusoidal^2'</code></pre> Sample from output: <pre><code>time sinusoidal cosinusoidal exponential exponential-exponential_sampling_7 sinusoidal^2+cosinusoidal^2 0 0 na 1 na na 3 0.187381 0.96325 1.03045 -0.000525714 0.962962 6 0.368125 0.911084 1.06184 -0.000524286 0.96559 9 0.535827 0.83509 1.09417 -0.00034 0.984485 12 0.684547 0.711437 1.1275 -0.00067 0.974748 15 0.809017 0.587785 1.16183 0 1 18 0.904827 0.416183 1.19722 -0.000717143 0.99192 </code></pre> Available from https://gricad-gitlab.univ-grenoble-alpes.fr/etiennej/datamerge (C) J Etienne 2012-2022 DataMerge is released under GPL 2 licence. DataMerge logo CC-BY 4.0 based on original work by Delapouite",mds,True,findable,0,0,0,0,0,2022-02-02T22:17:55.000Z,2022-02-02T22:17:56.000Z,cern.zenodo,cern,"time series,interpolation,data management,scripting,bash,command line,spreadsheet alternative","[{'subject': 'time series'}, {'subject': 'interpolation'}, {'subject': 'data management'}, {'subject': 'scripting'}, {'subject': 'bash'}, {'subject': 'command line'}, {'subject': 'spreadsheet alternative'}]",,
-10.26302/sshade/experiment_dt_20170706_005,Fe K edge XAS transmission of natural goethite FeO(OH) at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-15T20:30:15.000Z,2019-11-15T20:30:16.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,natural terrestrial,oxide-hydroxide,Natural goethite,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Natural goethite'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.10587576,Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Here we provide the source data and source code associated with our manuscript (NCOMMS-23-50331-T) entitled ""Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation"" for its forthcoming publication in Nature Communications.
-
-'Source Data.zip' contains the raw data for the main text figures.
-
-'Source Code.zip' contains both the code for automated exhaustive experiment and the code for autonomous closed-loop workflow presented in the manuscript.
-
-'Deep-learning model for voltammogram analysis.zip' contains the deep-learning model file used in the code.",api,True,findable,0,0,0,0,0,2024-02-02T16:24:15.000Z,2024-02-02T16:24:16.000Z,cern.zenodo,cern,"Autonomous electrochemical research,closed-loop workflow,high-throughput experimentation,molecular electrochemistry,cyclic voltammetry,machine learning,Bayesian optimization","[{'subject': 'Autonomous electrochemical research'}, {'subject': 'closed-loop workflow'}, {'subject': 'high-throughput experimentation'}, {'subject': 'molecular electrochemistry'}, {'subject': 'cyclic voltammetry'}, {'subject': 'machine learning'}, {'subject': 'Bayesian optimization'}]",,
-10.5281/zenodo.10214410,Radiofrequency to Microwave Coherent Manipulation of an Organometallic Electronic Spin Qubit Coupled to a Nuclear Qudit,Zenodo,2021,,Dataset,Creative Commons Attribution 4.0 International,"Dataset containing ASCII files for Figures 2-8 of the paperÂ 
-Radiofrequency to Microwave Coherent Manipulation of an Organometallic Electronic Spin Qubit Coupled to a Nuclear Qudit
-Inorg. Chem. 2021, 60, 11273âˆ’11286",api,True,findable,0,0,0,0,0,2023-11-29T12:01:19.000Z,2023-11-29T12:01:19.000Z,cern.zenodo,cern,,,,
-10.57745/uogrpy,Synthetic Datasets and Evaluations for Sub-pixel Displacements Estimation from Optical Satellite Images with Deep Learning,Recherche Data Gouv,2023,,Dataset,,"Contains 3 synthetic datasets (UNI, DIS, UNI-5px), with three corresponding trained models, based on a CNN architecture. The three datasets contains pairs of small (either 16x16 or 32x32 pixels) windows that simulate shifts. Contains also evaluations on realistic synthetics examples of a deep learning pipeline using two of the three models presented.",mds,True,findable,73,1,0,0,0,2023-09-15T08:36:13.000Z,2023-11-02T16:12:28.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.10533809,SpectralGPT: The first remote sensing foundation model customized for spectral data,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"SpectralGPT is the first purpose-built foundation model designed explicitly for spectral RS data. ItÂ considers unique characteristics of spectral data, i.e., spatial-spectral coupling and spectral sequentiality, in the MAE framework with a simple yet effective 3D GPT network.
-
-
-We will gradually release the trained models (SpectralGPT, SpectralGPT+), the newÂ benchmark dataset (SegMunich) for the downstream task ofÂ semantic segmentation, original code, and implementation instructions.",api,True,findable,0,0,0,0,0,2024-01-22T02:08:21.000Z,2024-01-22T02:08:21.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8275263,"EW-ino scan points from ""SModelS v2.3: enabling global likelihood analyses"" paper",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Input SLHA and SModelS output (.smodels and .py) files from the paper ""SModelS v2.3: enabling global likelihood analyses"". The dataset comprises 18544 electroweak-ino scan points and can be used to reproduce all the plots presented in the paper. <strong>ewino_slha.tar.gz</strong> : input SLHA files including mass spectra, decay tables and cross sections <strong>ewino_smodels_v23_combSRs.tar.gz</strong> : SModelS v2.3 output with combineSRs=True and combineAnas = ATLAS-SUSY-2018-41,CMS-SUS-21-002 (primary v2.3 results used in section 4, Figs. 2-6) <strong>ewino_smodels_v23_bestSR.tar.gz</strong> : SModelS v2.3 output with combineSRs=False and combineAnas = ATLAS-SUSY-2018-41,CMS-SUS-21-002 (used only in Fig. 2) <strong>ewino_smodels_v21.tar.gz</strong> : SModelS v2.1 output with combineSRs=False (used only in Fig. 2) Changes w.r.t. version 1: removed 13 SLHA input files, which had wrong neutralino2 decays due to a bug in softsusy 4.1.11; recomputed smodels_v23_combSRs results with sigmacut=1e-3 fb. See comments on https://scipost.org/submissions/2306.17676v2/ for details.",mds,True,findable,0,0,0,0,0,2023-08-23T09:37:05.000Z,2023-08-23T09:37:05.000Z,cern.zenodo,cern,"large hadron collider, beyond the standard model, simplified models, supersymmetry, reinterpretation","[{'subject': 'large hadron collider, beyond the standard model, simplified models, supersymmetry, reinterpretation'}]",,
-10.17178/emaa_oh_hyperfine_83ce026b,Hyperfine excitation of OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",24 hyperfine energy levels / 95 radiative transitions / 264 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 264 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:27.000Z,2021-11-17T14:01:29.000Z,inist.osug,jbru,"target OH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.ce.sap_odc,"Vegetation dataset (sap flow), within the Donga watershed (600km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2010,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","1) Provide a estimation of woody strata transpiration in two representative un-cultivated covers of the Donga watershed, 2) analyse the biological and physical factors driving tree transpiration, 3) assess the contribution of tree transpiration to the water cycle compartments (actual evapotranspiration, ground and soil water).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:02.000Z,2018-03-16T15:37:03.000Z,inist.osug,jbru,"Sap flow, tree transpiration,Sudanian climate,Sap Flow Density from 10 to 20 mm depth,Sap Flow Density from 0 to 50 mm depth,Sap Flow Density from 5 to 30 mm depth,Sap Flow Density from 30 to 55 mm depth,Sap Flow Density from 60 to 85 mm depth,Sap Flow Density from 90 to 115 mm depth","[{'subject': 'Sap flow, tree transpiration', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Sap Flow Density from 10 to 20 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 0 to 50 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 5 to 30 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 30 to 55 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 60 to 85 mm depth', 'subjectScheme': 'var'}, {'subject': 'Sap Flow Density from 90 to 115 mm depth', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.26302/sshade/experiment_dt_20180313_001,Mn K edge XAS transmission of Mn metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T07:53:42.000Z,2019-11-16T07:53:43.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Mn,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Mn'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5061/dryad.1s7v5,Data from: Evaluation of redundancy analysis to identify signatures of local adaptation,Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"Ordination is a common tool in ecology that aims at representing complex biological information in a reduced space. In landscape genetics, ordination methods such as principal component analysis (PCA) have been used to detect adaptive variation based on genomic data. Taking advantage of environmental data in addition to genotype data, redundancy analysis (RDA) is another ordination approach that is useful to detect adaptive variation. This paper aims at proposing a test statistic based on RDA to search for loci under selection. We compare redundancy analysis to pcadapt, which is a nonconstrained ordination method, and to a latent factor mixed model (LFMM), which is a univariate genotype-environment association method. Individual-based simulations identify evolutionary scenarios where RDA genome scans have a greater statistical power than genome scans based on PCA. By constraining the analysis with environmental variables, RDA performs better than PCA in identifying adaptive variation when selection gradients are weakly correlated with population structure. Additionally, we show that if RDA and LFMM have a similar power to identify genetic markers associated with environmental variables, the RDA-based procedure has the advantage to identify the main selective gradients as a combination of environmental variables. To give a concrete illustration of RDA in population genomics, we apply this method to the detection of outliers and selective gradients on an SNP data set of Populus trichocarpa (Geraldes et al., 2013). The RDA-based approach identifies the main selective gradient contrasting southern and coastal populations to northern and continental populations in the northwestern American coast.",mds,True,findable,654,338,1,1,0,2018-06-15T04:58:08.000Z,2018-06-15T04:58:15.000Z,dryad.dryad,dryad,"RDA,Genome scans","[{'subject': 'RDA'}, {'subject': 'Genome scans', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['1307365306 bytes'],
-10.15778/resif.xw2019,Noise monitoring of the groundwater in Albion area : ALBION2 (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2020,,Dataset,,A set of 20 broadband seismic stations operating for nearly two years in the Plateau dâ€™Albion area. The dataset is formed of continuous seismic recordings @100Hz of sampling frequency.,mds,True,findable,0,0,0,0,0,2021-01-11T09:51:19.000Z,2021-01-11T09:51:45.000Z,inist.resif,vcob,"Seismic noise,Boadband seismology,Water monitoring","[{'subject': 'Seismic noise'}, {'subject': 'Boadband seismology'}, {'subject': 'Water monitoring'}]","['19 stations, 292Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.26302/sshade/bandlist_raman_fe-dolomite,Raman bandlist of natural Ferroan Dolomite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Ferroan Dolomite (Fe &lt; Mg) at 295K,mds,True,findable,0,0,0,0,0,2023-08-27T13:42:26.000Z,2023-08-27T13:42:27.000Z,inist.sshade,mgeg,"Ferroan Dolomite,Calcium,Iron(II) cation,Magnesium,Manganese(II) cation,Carbonate anion,Dolomite,Calcium,Iron(2+) cation,Magnesium,Manganese(2+) cation,7440-70-2,15438-31-0,7439-95-4,16397-91-4,Ca,Fe2+,Mg,Mn2+,(CO3)2-,CaMg(CO3)2,Dolomite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Norsethite Group,14.02.01.01,05.AB.10,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Ferroan Dolomite', 'subjectScheme': 'name'}, {'subject': 'Calcium', 'subjectScheme': 'name'}, {'subject': 'Iron(II) cation', 'subjectScheme': 'name'}, {'subject': 'Magnesium', 'subjectScheme': 'name'}, {'subject': 'Manganese(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Dolomite', 'subjectScheme': 'name'}, {'subject': 'Calcium', 'subjectScheme': 'IUPAC name'}, {'subject': 'Iron(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Magnesium', 'subjectScheme': 'IUPAC name'}, {'subject': 'Manganese(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '7440-70-2', 'subjectScheme': 'CAS number'}, {'subject': '15438-31-0', 'subjectScheme': 'CAS number'}, {'subject': '7439-95-4', 'subjectScheme': 'CAS number'}, {'subject': '16397-91-4', 'subjectScheme': 'CAS number'}, {'subject': 'Ca', 'subjectScheme': 'formula'}, {'subject': 'Fe2+', 'subjectScheme': 'formula'}, {'subject': 'Mg', 'subjectScheme': 'formula'}, {'subject': 'Mn2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'CaMg(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'Dolomite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Norsethite Group', 'subjectScheme': 'Dana group'}, {'subject': '14.02.01.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.10', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.26302/sshade/experiment_gs_20170712_002,Ag K edge XAS transmission of AgO,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:00:51.000Z,2019-12-05T14:00:51.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,metallic alloy,AgO,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'metallic alloy'}, {'subject': 'AgO'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.4059193,CNRM-ARPEGE v6.2.4 contribution to Antarctic Cordex,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This data set is a contribution to Antarctic Polar Cordex using the stretched grid capacity of CNRM-ARPEGE atmospheric GCM. Model outputs have been interpolated from the native ARPEGE grid, with horizontal resolution varying between 35kms (near the stretching pole) to 45 kms on the Antarctic continent, to the ANTi-44 domain (actual lon/lat). The data and metadata format respect almost all of Cordex/CMIP conventions (variables names, units, file names...). The data set consists in six simulations of 30 years time slots : 1981-2010 for ""historical"" simulations and 2071-2100 for future projections using radiative forcing from RCP8.5 scenario : - ARP-AMIP : amip-style control run driven by observed SST and sea-ice (1981-2100) - ARP-NOR-OC : Future projection driven by NorESM1-M RCP8.5 climate change signal on SST and sea-ice (2071-2100) - ARP-MIR-OC : Future projection driven by MIROC-ESM RCP8.5 climate change signal on SST and sea-ice (2071-2100) More details on these three simulations are given in Beaumet et al., 2019 (<strong>10.5194/tc-13-3023-2019) </strong> - ARP-AMIP-AC : Driven by observed SST and sea-ice + run-time flux bias correction* - ARP-NOR-AOC : Driven by same SST and sea-ice as NOR-OC + run-time flux bias correction* - ARP-MIR-AOC : Driven by same SST and sea-ice as MIR-OC + run-time flux bias correction* Empirical run-time bias correction uses correction terms derived from the climatological mean of tendency errors of a simulation nudged towards climate reanalysis (here ERA-Interim). The method is presented first in Guldberg et al., 2005 (10.1111/j.1600-0870.2005.00120.x) and Krinner et al., 2019 (10.1029/2018MS001438). The method applied with ARPEGE over Antarctica and the evalution of the simulation are presented in this paper : https://doi.org/10.5194/tc-2020-307 (In review) Outputs are available at daily time scale for near-surface atmospherique mean (tas), min (tasmin) and max (tasmax) temperature, total precipitation (pr), snowfall (prsn), snowmelt(snm), surface snow sublimation (sbl_i) and surface runoff (mrros). If you consider using these data, please email me (Julien.Beaumet@univ-grenoble-alpes.fr) to see how I can help and/or be involved.",mds,True,findable,0,0,0,0,0,2020-09-30T14:02:31.000Z,2020-09-30T14:02:31.000Z,cern.zenodo,cern,"Antarctic,Cordex,ARPEGE,Climate projection,Surface mass balance,Bias correction","[{'subject': 'Antarctic'}, {'subject': 'Cordex'}, {'subject': 'ARPEGE'}, {'subject': 'Climate projection'}, {'subject': 'Surface mass balance'}, {'subject': 'Bias correction'}]",,
-10.18709/perscido.2016.10.ds06,MovieLens+IMDb,PerSciDo,2016,en,Dataset,,MovieLens 1M dataset enriched with IMDB on movie attributes.,api,True,findable,0,0,0,0,0,2017-11-03T14:41:05.000Z,2017-11-03T14:41:05.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['16 MB'],
-10.17178/emaa_para-nhd2_rotation_8fdc530e,Rotation excitation of para-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 rotation energy levels / 48 radiative transitions / 120 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:23.000Z,2021-11-17T14:02:24.000Z,inist.osug,jbru,"target para-NHD2,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_e-ch3(18o)h_rotation_da227d5c,Rotation excitation of E-CH3[18O]H by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",13 rotation energy levels / 52 radiative transitions / 71 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 78 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:56.000Z,2023-12-07T15:50:56.000Z,inist.osug,jbru,"target E-CH3[18O]H,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target E-CH3[18O]H', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.6084/m9.figshare.20080019,Views Evolution 5 Minutes Frequency,figshare,2022,,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains 1934 videos posted between February 2, 2022 and February 16, 2022. For every video it records the amount of views every 5 minutes.",mds,True,findable,0,0,0,0,0,2022-06-16T13:46:14.000Z,2022-06-16T13:46:28.000Z,figshare.ars,otjm,"Applications in physical sciences,Complex physical systems","[{'subject': 'Applications in physical sciences'}, {'subject': 'Complex physical systems'}]",['352821547 Bytes'],
-10.26302/sshade/experiment_kd_20220525,"Optical constants of Mg- and Fe-rich amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1 - 0.2 - 0.3 - 0.4, 10-300 K, UV-mm range",SSHADE/STOPCODA (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","UV to mm optical constants of four Mg- and Fe-rich amorphous silicates Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1 - 0.2 - 0.3 - 0.4, at 10, 100, 200 and 300 K. The optical constants are calculated from mass absorption coefficients measured in the 5 - 1000 Âµm (2000-10 cm-1) range and extrapolated in the range 0.024 - 5 Âµm and 1000 - 100000 Âµm.",mds,True,findable,0,0,0,0,0,2022-05-31T13:17:49.000Z,2022-05-31T13:17:51.000Z,inist.sshade,mgeg,"solid,laboratory,non-oxide ceramic,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1,commercial,homopolymer,Polyethylene HDPE,bromide,Potassium bromide KBr,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.2,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.3,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.4,laboratory measurement,numerical extrapolation,macroscopic,UV,Ultraviolet,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,FIR,Far-Infrared,sub-mm,mm,millimeter wave,cm,centimeter wave,optical constants","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'non-oxide ceramic'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1'}, {'subject': 'commercial'}, {'subject': 'homopolymer'}, {'subject': 'Polyethylene HDPE'}, {'subject': 'bromide'}, {'subject': 'Potassium bromide KBr'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.2'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.3'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.4'}, {'subject': 'laboratory measurement'}, {'subject': 'numerical extrapolation'}, {'subject': 'macroscopic'}, {'subject': 'UV'}, {'subject': 'Ultraviolet'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'sub-mm'}, {'subject': 'mm'}, {'subject': 'millimeter wave'}, {'subject': 'cm'}, {'subject': 'centimeter wave'}, {'subject': 'optical constants'}]",['16 spectra'],['ASCII']
-10.17178/emaa_ortho-h2s_rotation_3f29e6c3,Rotation excitation of ortho-H2S by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 46 radiative transitions / 171 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K) / 171 collisional transitions for para-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:48.000Z,2023-12-07T15:51:49.000Z,inist.osug,jbru,"target ortho-H2S,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2S', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_gm_20190813_001,Raman spectra of some carbonate minerals,SSHADE/REAP (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-05-13T07:45:51.000Z,2021-05-13T07:45:53.000Z,inist.sshade,mgeg,"natural terrestrial,carbonate,Calcite,Aragonite,Dolomite,Magnesite,Siderite,Ankerite,laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,FIR,Far-Infrared,normalized Raman scattering intensity","[{'subject': 'natural terrestrial'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'Aragonite'}, {'subject': 'Dolomite'}, {'subject': 'Magnesite'}, {'subject': 'Siderite'}, {'subject': 'Ankerite'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'normalized Raman scattering intensity'}]",['6 spectra'],['ASCII']
-10.5281/zenodo.10214411,Radiofrequency to Microwave Coherent Manipulation of an Organometallic Electronic Spin Qubit Coupled to a Nuclear Qudit,Zenodo,2021,,Dataset,Creative Commons Attribution 4.0 International,"Dataset containing ASCII files for Figures 2-8 of the paperÂ 
-Radiofrequency to Microwave Coherent Manipulation of an Organometallic Electronic Spin Qubit Coupled to a Nuclear Qudit
-Inorg. Chem. 2021, 60, 11273âˆ’11286",api,True,findable,0,0,0,0,0,2023-11-29T12:01:19.000Z,2023-11-29T12:01:19.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4680486,ARTURIA synthesizer sounds dataset,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains all data that have been used in:<br> Roche F., Hueber T., Garnier M., Limier S. and Girin L., 2021. ""Make That Sound More Metallic: Towards a Perceptually Relevant Control of the Timbre of Synthesizer Sounds Using Variational Autoencoder"". Transactions of the International Society for Music Information Retrieval.<br> <br> It is constituted of a .zip file containing 1,233 audio samples of synthesizer sounds generated using factory presets of ARTURIA software applications resulting in single pitched sounds (E3, ~165Hz) with a similar duration (between 2 and 2.5 seconds) and normalized in loudness.<br> <br> Audio files are monophonic in WAV format using a samplerate of 44.1kHz and a 32-bit encoding.",mds,True,findable,0,0,0,0,0,2021-04-12T12:32:45.000Z,2021-04-12T12:32:46.000Z,cern.zenodo,cern,"Machine Learning, music sound processing, timbre perception, psychoacoustics","[{'subject': 'Machine Learning, music sound processing, timbre perception, psychoacoustics'}]",,
-10.5281/zenodo.8161141,The Coq Proof Assistant,Zenodo,2023,en,Software,"GNU Lesser General Public License v2.1 only,Open Access","Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs. Typical applications include the certification of properties of programming languages (e.g. the CompCert compiler certification project, the Verified Software Toolchain for verification of C programs, or the Iris framework for concurrent separation logic), the formalization of mathematics (e.g. the full formalization of the Feit-Thompson theorem, or homotopy type theory), and teaching. Coq version 8.17 integrates a soundness fix to the Coq kernel along with a few new features and a host of improvements to the Ltac2 language and libraries. We highlight some of the most impactful changes here: Fixed a logical inconsistency due to <code>vm_compute</code> in presence of side-effects in the enviroment (e.g. using <code>Back</code> or <code>Fail</code>). It is now possible to dynamically enable or disable notations. Support multiple scopes in <code>Arguments</code> and <code>Bind Scope</code>. The tactics chapter of the manual has many improvements in presentation and wording. The documented grammar is semi-automatically checked for consistency with the implementation. Fixes to the <code>auto</code> and <code>eauto</code> tactics, to respect hint priorities and the documented use of <code>simple apply</code>. This is a potentially breaking change. New Ltac2 APIs, deep pattern-matching with <code>as</code> clauses and handling of literals, support for record types and preterms. Move from <code>:&gt;</code> to <code>::</code> syntax for declaring typeclass fields as instances, fixing a confusion with declaration of coercions. Standard library improvements. While Coq supports OCaml 5, users are likely to experience slowdowns ranging from +10% to +50% compared to OCaml 4. Moreover, the <code>native_compute</code> machinery is not available when Coq is compiled with OCaml 5. Therefore, OCaml 5 support should still be considered experimental and not production-ready. See the Changes in 8.17.0 section below for the detailed list of changes, including potentially breaking changes marked with <strong>Changed</strong>. Coq's reference manual for 8.17, documentation of the 8.17 standard library and developer documentation of the 8.17 ML API are also available. Ali Caglayan, Emilio JesÃºs Gallego Arias, GaÃ«tan Gilbert and ThÃ©o Zimmermann worked on maintaining and improving the continuous integration system and package building infrastructure. Erik Martin-Dorel has maintained the Coq Docker images that are used in many Coq projects for continuous integration. Maxime DÃ©nÃ¨s, Paolo G. Giarrusso, Huá»³nh Tráº§n Khanh, and Laurent ThÃ©ry have maintained the VsCoq extension for VS Code. The opam repository for Coq packages has been maintained by Guillaume Claret, Karl Palmskog, Matthieu Sozeau and Enrico Tassi with contributions from many users. A list of packages is available at https://coq.inria.fr/opam/www/. The Coq Platform has been maintained by Michael Soegtrop, with help from Karl Palmskog, Pierre Roux, Enrico Tassi and ThÃ©o Zimmermann. Our current maintainers are Yves Bertot, FrÃ©dÃ©ric Besson, Ana Borges, Ali Caglayan, Tej Chajed, Cyril Cohen, Pierre Corbineau, Pierre Courtieu, Maxime DÃ©nÃ¨s, Andres Erbsen, Jim Fehrle, Julien Forest, Emilio JesÃºs Gallego Arias, GaÃ«tan Gilbert, Georges Gonthier, Benjamin GrÃ©goire, Jason Gross, Hugo Herbelin, Vincent Laporte, Olivier Laurent, Assia Mahboubi, Kenji Maillard, Guillaume Melquiond, Pierre-Marie PÃ©drot, ClÃ©ment Pit-Claudel, Pierre Roux, Kazuhiko Sakaguchi, Vincent Semeria, Michael Soegtrop, Arnaud Spiwack, Matthieu Sozeau, Enrico Tassi, Laurent ThÃ©ry, Anton Trunov, Li-yao Xia and ThÃ©o Zimmermann. See the Coq Team face book page for more details. The 45 contributors to the 8.17 version are: Reynald Affeldt, Tanaka Akira, Lasse Blaauwbroek, Stephan Boyer, Ali Caglayan, Cyril Cohen, Maxime DÃ©nÃ¨s, Andrej Dudenhefner, Andres Erbsen, FrantiÅ¡ek Farka, Jim Fehrle, Paolo G. Giarrusso, GaÃ«tan Gilbert, Jason Gross, Alban Gruin, Stefan Haan, Hugo Herbelin, Wolf Honore, Bodo Igler, Jerry James, Emilio JesÃºs Gallego Arias, Ralf Jung, Jan-Oliver Kaiser, Wojciech Karpiel, Chantal Keller, Thomas Klausner, Olivier Laurent, Yishuai Li, Guillaume Melquiond, Karl Palmskog, Sudha Parimala, Pierre-Marie PÃ©drot, Valentin Robert, Pierre Roux, Julin S, Dmitry Shachnev, Michael Soegtrop, Matthieu Sozeau, Naveen Srinivasan, Sergei Stepanenko, Karolina Surma, Enrico Tassi, Li-yao Xia and ThÃ©o Zimmermann. The Coq community at large helped improve this new version via the GitHub issue and pull request system, the coq-club@inria.fr mailing list, the Discourse forum and the Coq Zulip chat. Version 8.17's development spanned 5 months from the release of Coq 8.16.0. ThÃ©o Zimmermann is the release manager of Coq 8.17. This release is the result of 414 merged PRs, closing 105 issues.",mds,True,findable,0,0,0,2,0,2023-07-18T17:17:12.000Z,2023-07-18T17:17:13.000Z,cern.zenodo,cern,"proof assistant,mathematical software,formal proofs","[{'subject': 'proof assistant'}, {'subject': 'mathematical software'}, {'subject': 'formal proofs'}]",,
-10.6084/m9.figshare.21430971,Additional file 1 of Digitally-supported patient-centered asynchronous outpatient follow-up in rheumatoid arthritis - an explorative qualitative study,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 1,mds,True,findable,0,0,0,0,0,2022-10-29T03:17:12.000Z,2022-10-29T03:17:13.000Z,figshare.ars,otjm,"Medicine,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['24235 Bytes'],
-10.5281/zenodo.4590885,Systematic Mapping Study of Security in Multi-Embedded-Agent Systems dataset,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The dataset used for in the article â€œSystematic Mapping Study of Security in Multi-Embedded-Agent Systemsâ€ submitted to IEEE Access. The dataset contains all the data manipulated during the mapping study, from the search exports to the full classification of selected papers. It should allow reproduction of the study.",mds,True,findable,0,0,0,0,0,2021-03-09T14:13:15.000Z,2021-03-09T14:13:16.000Z,cern.zenodo,cern,"Multi-agent system with embedded agents,security architecture,systematic mapping study","[{'subject': 'Multi-agent system with embedded agents'}, {'subject': 'security architecture'}, {'subject': 'systematic mapping study'}]",,
-10.26302/sshade/experiment_ak_20141116_1,Mid-infrared attenuated total reflectance experiment with Mg2+ exchanged less 0.1 Î¼m size fraction of beidellite (SbId-1) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:25:37.000Z,2022-11-04T08:25:38.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Mg-exchanged beidellite SbId-1 size-fraction &lt;0.1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Mg-exchanged beidellite SbId-1 size-fraction &lt;0.1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['5 spectra'],['ASCII']
-10.26302/sshade/experiment_lb_20170731_004,Mid-IR absorbance spectra of EET92042 matrix grains under vacuum at different temperatures) under vacuum at 300Â°C,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Raw, normalized and baseline-corrected Mid-IR spectra of several matrix grains of EET92042 (pressed on diamond) under vacuum at ambient temperature and 300Â°C",mds,True,findable,0,0,0,1,0,2020-02-11T12:17:16.000Z,2020-02-11T12:17:16.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix EET92042,physically adsorbed phase,adsorbed water,matrix EET92042 heated at 300Â°C,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance,normalized absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix EET92042'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water'}, {'subject': 'matrix EET92042 heated at 300Â°C'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}, {'subject': 'normalized absorbance'}]",['19 spectra'],['ASCII']
-10.5061/dryad.m7m72,Data from: Loss of connectivity among island-dwelling Peary caribou following sea ice decline,Dryad,2016,en,Dataset,Creative Commons Zero v1.0 Universal,"Global warming threatens to reduce population connectivity for terrestrial wildlife through significant and rapid changes to sea ice. Using genetic fingerprinting, we contrasted extant connectivity in island-dwelling Peary caribou in northern Canada with continental-migratory caribou. We next examined if sea-ice contractions in the last decades modulated population connectivity and explored the possible impact of future climate change on long-term connectivity among island caribou. We found a strong correlation between genetic and geodesic distances for both continental and Peary caribou, even after accounting for the possible effect of sea surface. Sea ice has thus been an effective corridor for Peary caribou, promoting inter-island connectivity and population mixing. Using a time series of remote sensing sea-ice data, we show that landscape resistance in the Canadian Arctic Archipelago has increased by approximately 15% since 1979 and may further increase by 20â€“77% by 2086 under a high-emission scenario (RCP8.5). Under the persistent increase in greenhouse gas concentrations, reduced connectivity may isolate island-dwelling caribou with potentially significant consequences for population viability.",mds,True,findable,276,26,1,1,0,2016-08-24T16:45:38.000Z,2016-08-24T16:45:39.000Z,dryad.dryad,dryad,"Canadian Arctic Archipelago,isolation by distance,Rangifer tarandus","[{'subject': 'Canadian Arctic Archipelago'}, {'subject': 'isolation by distance'}, {'subject': 'Rangifer tarandus'}]",['50097 bytes'],
-10.5281/zenodo.10000776,Metallic nickel pillar X-ray spectral ptychographic dataset,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"This dataset was acquired at the SWING beamline at the French synchrotron SOLEIL. The dataset was obtained by conducting spectral 2D X-ray ptychography on a 7-micron diameter metallic nickel pillar. An energy scan was performed from 8.3 KeV to 8.4 KeV with a 1 eV step, including the resonant energy of nickel at 8.333 KeV. For each energy acquisition, the ptychographic scanning parameters consisted of 242 diffraction patterns from a field of view of 14x12 ÂµmÂ², with an exposure time of 100 ms per point. The ptychographic reconstruction was carried out using the PtychoShelves Matlab software package, involving 200 iterations of the difference map (DM) algorithm, followed by 100 iterations of the maximum likelihood (ML) algorithm.",api,True,findable,0,0,0,0,0,2023-10-13T14:05:21.000Z,2023-10-13T14:05:21.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.2j5s7,Data from: Are variations of direct and indirect plant interactions along a climatic gradient dependent on species' strategies? An experiment on tree seedlings,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"Investigating how interactions among plants depend on environmental conditions is key to understand and predict plant communitiesâ€™ response to climate change. However, while many studies have shown how direct interactions change along climatic gradients, indirect interactions have received far less attention. In this study, we aim at contributing to a more complete understanding of how biotic interactions are modulated by climatic conditions. We investigated both direct and indirect effects of adult tree canopy and ground vegetation on seedling growth and survival in five tree species in the French Alps. To explore the effect of environmental conditions, the experiment was carried out at 10 sites along a climatic gradient closely related to temperature. While seedling growth was little affected by direct and indirect interactions, seedling survival showed significant patterns across multiple species. Ground vegetation had a strong direct competitive effect on seedling survival under warmer conditions. This effect decreased or shifted to facilitation at lower temperatures. While the confidence intervals were wider for the effect of adult canopy, it displayed the same pattern. The monitoring of micro-environmental conditions revealed that competition by ground vegetation in warmer sites could be related to reduced water availability; and weak facilitation by adult canopy in colder sites to protection against frost. For a cold-intolerant and shade-tolerant species (Fagus sylvatica), adult canopy indirectly facilitated seedling survival by suppressing ground vegetation at high temperature sites. The other more cold tolerant species did not show this indirect effect (Pinus uncinata, Larix decidua and Abies alba). Our results support the widely observed pattern of stronger direct competition in more productive climates. However, for shade tolerant species, the effect of direct competition may be buffered by tree canopies reducing the competition of ground vegetation, resulting in an opposite trend for indirect interactions across the climatic gradient.",mds,True,findable,308,41,1,1,0,2015-08-11T14:26:07.000Z,2015-08-11T14:26:10.000Z,dryad.dryad,dryad,"Abies alba,Larix decidua,Pinus uncinata,Quercus petraea,Fagus sylvatica","[{'subject': 'Abies alba'}, {'subject': 'Larix decidua'}, {'subject': 'Pinus uncinata'}, {'subject': 'Quercus petraea'}, {'subject': 'Fagus sylvatica'}]",['4698866 bytes'],
-10.5281/zenodo.10222606,"Spectral albedo and summer ground temperature of herbaceous and shrub tundra vegetation at Bylot Island, Canadian High-Arctic",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"These data are in support of a preprint:Â 
-Comparing spectral albedo and NDVI of herbaceous and shrub tundra vegetation at Bylot Island, Canadian High-Arctic
-Florent Domine, Maria-Belke-Brea, Ghislain Picard, Laurent Arnaud, and Esther LÃ©vesque
-To be submitted in 2023.Â 
-The spectral albedo of several vegetation assemblages on Bylot Island and in Mala River valley on nearby Baffin Island were recorded between 10 and 18 July 2015. The spectral range covered was 346 to 2400 nm. Surfaces were classified according to the main vegetation types. Classes used are graminoids, moss, Salix arctica, soil, and Salix richardsonii. S. richardsonii is the only truly erect species on Bylot Island. Transmission spectra of radiation through the S. richardsonii canopy were also recorded. S. richardsonii spectra were different depending on the location where they were measured and we present spectra for sites in active parts of an alluvial fan (Salix-G2), an inactive part of an alluvial fan (Salix-D1) and in a mesic area on Mala River Valley (Salix-M). We also present typical relative solar irradiance spectra recorded at Bylot Island during the campaign, under clear and overcast conditions. In conjunction with spectral albedo data, these irradiance spectra allow the calculation of the broadband (BB) albedo of the vegetation types and to compare BB albedo values under identical irradiance conditions.Â  83 spectra were recorded: 39 for S. richardsonii and 44 for low vegetation and soil. 17 transmission spectra under S. richardsonii were recorded. We present here only averages for each vegetation type. We also present averages for all low vegetation types and for all S. richardsonii spectra, to allow the calculation of the radiative impact of erect shrubs at Bylot Island.Â 
-We also present soil temperature data at 15 cm depth for the spots GRASS (mostly Salix Arctica), TUNDRA (Mostly moss), SALIX-D1 (Salix richardsonii) and SALIX-F (Salix richardsonii). SALIX-F is similar to SALIX-G2. The data are during summer 2020.Â 
-The locations of the various spots investigated are:Â 
-Spot name Â Latitude Â Longitude Vegetation types found
-TUNDRA 73.150Â° -80.004Â° Humid and moist polygons with low vegetation dominated by mosses, graminoids, S. arctica and S. herbacea.
-PLAINE 73.167Â° -79.915Â° Low vegetation and bare soil patches caused by cryoturbation (mudboils) with mosses, graminoids and S. arctica.
-GRASS 73.158Â° -79.907Â° Low vegetation between patches of S. richardsonii dominated by S.Â arctica, with litter, mosses, graminoids and occasional bare soil. Â 
-SALIX-D1 73.158Â° -79.907Â° Scattered patches of S. richardsonii <35 cm tall. Understory is mosses, graminoids, litter, S. arctica and bare soil.
-SALIX-M 73.006Â° -80.685Â° Mesic area with patches of S. richardsonii 35 to 40 cm tall. Understory includes moss, graminoids and litter. Between patches: herb tundra with graminoids and mosses. The area is not within an alluvial fan.
-SALIX-G2 73.168Â° -79.812Â° Extended area in an alluvial fan with S. richardsonii >40 cm. Understory includes litter, mosses, graminoids, bare soil, S. arctica and S. reticulata.
-SALIX-F 73.182Â° -79.745Â° Similar to SALIX-G2. Ground temperature is monitored there. No spectral data were recorded at that site. Â 
-Â 
-Â ",api,True,findable,0,0,0,0,0,2023-11-29T16:34:14.000Z,2023-11-29T16:34:14.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.14450793,Additional file 3 of Rare deleterious mutations of HNRNP genes result in shared neurodevelopmental disorders,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 3: Table S13. GenBank accession numbers.,mds,True,findable,0,0,85,1,0,2021-04-20T03:46:32.000Z,2021-04-20T03:46:34.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['4116100 Bytes'],
-10.26302/sshade/experiment_vc_20050727_001,Vis-NIR reflectance spectra of Narbonne sand (NS 243) wetted with water and dried in ambiant air at 38Â°C,SSHADE/SSTONE (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","In order to investigate the spectral behavior of humidity on sand spectra, we have acquired laboratory reflectance spectra of a sand containing various proportion of water. Water was deposited on a dry sand (previously dried in an oven at 40Â°C during one night). During the experiment, the sample is then dried, under the sun at 38Â°C. A spectrum is acquired every 5 minutes with an ASD FieldSpec3FR. This experiment was done on Narbonne sand (NS 243)",mds,True,findable,0,0,0,0,0,2021-05-19T19:16:05.000Z,2021-05-19T19:16:06.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,Illite,Chlorite,liquid,Liquid water,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Illite'}, {'subject': 'Chlorite'}, {'subject': 'liquid'}, {'subject': 'Liquid water'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['29 spectra'],['ASCII']
-10.5061/dryad.jm58p,Data from: Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"Global biodiversity in freshwater and the oceans is declining at high rates. Reliable tools for assessing and monitoring aquatic biodiversity, especially for rare and secretive species, are important for efficient and timely management. Recent advances in DNA sequencing have provided a new tool for species detection from DNA present into the environment. In this study, we tested if an environmental DNA (eDNA) metabarcoding approach, using water samples, can be used for addressing significant questions in ecology and conservation. Two key aquatic vertebrate groups were targeted: amphibians and bony fish. The reliability of this method was cautiously validated in silico, in vitro, and in situ. When compared with traditional surveys or historical data, eDNA metabarcoding showed a much better detection probability overall. For amphibians, the detection probability with eDNA metabarcoding was 0.97 (CI = 0.90-0.99) versus 0.58 (CI = 0.50-0.63) for traditional surveys. For fish, in 89% of the studied sites, the number of taxa detected using the eDNA metabarcoding approach was higher or identical to the number detected using traditional methods. We argue that the proposed DNA-based approach has the potential to become the next-generation tool for ecological studies and standardized biodiversity monitoring in a wide range of aquatic ecosystems.",mds,True,findable,821,168,1,1,0,2015-10-26T14:31:28.000Z,2015-10-26T14:31:29.000Z,dryad.dryad,dryad,"Batrachia,detection probability,wildlife management.,amphibian,Teleostei","[{'subject': 'Batrachia'}, {'subject': 'detection probability'}, {'subject': 'wildlife management.'}, {'subject': 'amphibian'}, {'subject': 'Teleostei'}]",['11226013657 bytes'],
-10.6084/m9.figshare.16851153,Additional file 7 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 7: Fig. S3. 14-days invasion assay of NDPK-D HeLa clones. Clones WT (left) and KD (right) are shown (for abbreviations see Fig. 1). Cells were seeded on the surface of collagen type I indicated by an arrow. Representative cross-sections of the collagen gel after a 14-day culture period stained with hematoxylin and eosin are shown (scale bar, 100â€‰Î¼m).",mds,True,findable,0,0,93,1,0,2021-10-22T04:08:15.000Z,2021-10-22T04:08:17.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['6763524 Bytes'],
-10.17178/amma-catch.ce.rain_nc,"Precipitation dataset (5 minutes rainfall), over the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal and spatial variability of rainfall down to the local scale, where process studies are carried on. Data is used in hydrological modelling and process studies.",mds,True,findable,0,0,2,0,0,2018-03-16T15:36:59.000Z,2018-03-16T15:36:59.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous hour),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.4305929,DEM simulations of size-segregation during bedload transport,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This depository contains the data of all DEM simulations used in the publication Chassagne, R., Maurin, R., Chauchat, J., Gray, J., &amp; Frey, P. (2020). Discrete and continuum modelling of grain size segregation during bedload transport. <em>Journal of Fluid Mechanics,</em> <em>895</em>, A30. doi:10.1017/jfm.2020.274, as well as post processing scripts to use the data. The simulations are located in two folders, fine/ (simulations for which the amount of fine particles is varied) and sizeRatio (simulations for which the size ratio between large and small particles is varied). The data of each simulations are contained in separate subfolders named after the simulation. For example, Fine2R1.5/ corresponds to a simulation with 2 layers of small particles and a size ratio of 1.5. For each simulation, the time data are saved in data.hdf5 and averaged data in average.hdf5. A GeomParam.txt file is also in each folder. It contains information of the simulation that the post processing programm will read. The python script used to initiate the YADE-DEM simulation is also given for information (it contains all parameters of the simulation). The post-processing program has been coded in python2.7 with an oriented-object procedure. The h5py package is necessary to read the .hdf5 files. The scripts do not work in python3, but can be very easily adapted if necessary (you only have to modify the ""print"" functions). The scripts are available in ScriptsPP/ and are organized as follow. A mother class in SegregationPP and two child classes SegFull (to load the full time data set) and SegMean (to load only average data). A script examplePP.py is proposed and shows how to manipulate theses classes and the data.",mds,True,findable,0,0,0,1,0,2020-12-04T14:22:25.000Z,2020-12-04T14:22:25.000Z,cern.zenodo,cern,"Granular flow,Sediment transport,Size-segregation,Coupled Fluid-DEM simulations","[{'subject': 'Granular flow'}, {'subject': 'Sediment transport'}, {'subject': 'Size-segregation'}, {'subject': 'Coupled Fluid-DEM simulations'}]",,
-10.2312/yes19,Proceedings of the 5th International Young Earth Scientists (YES) Congress â€œRocking Earthâ€™s Futureâ€,German YES Chapter & GFZ German Research Centre for Geosciences,2021,en,Text,Creative Commons Attribution 4.0 International,,fabricaForm,True,findable,0,0,0,0,0,2020-09-10T09:36:58.000Z,2021-08-31T19:11:27.000Z,tib.gfzbib,gfz,"Conference Proceedings,Young Earth Scientists (YES),International Young Earth Scientists (YES) Congress,Geosciences","[{'subject': 'Conference Proceedings'}, {'subject': 'Young Earth Scientists (YES)'}, {'subject': 'International Young Earth Scientists (YES) Congress'}, {'subject': 'Geosciences'}]",['148 pages'],['pdf']
-10.18709/perscido.2017.06.ds80,SPEECH-COCO,PerSciDo,2017,en,Dataset,Creative Commons Attribution 4.0 International,"SPEECH-COCO is an augmentation of MS-COCO dataset where speech is added to image and text. Speech captions were generated using text-to-speech (TTS) synthesis resulting in 616,767 spoken captions (&gt;600h) paired with images. Disfluencies and speed perturbation were added to the signal in order to sound more natural. Each speech signal (WAV) is paired with a JSON file containing exact timecode for each word/syllable/phoneme in the spoken caption. Such a corpus could be used for Language and Vision (LaVi) tasks including speech input or output instead of text.",api,True,findable,0,0,0,0,0,2017-07-11T08:41:11.000Z,2017-07-11T08:41:11.000Z,inist.persyval,vcob,"Computer Science,Linguistics,FOS: Languages and literature,FOS: Languages and literature","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Linguistics'}, {'subject': 'FOS: Languages and literature', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Languages and literature', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['57 GB'],"['wav', 'json', 'sql']"
-10.26302/sshade/experiment_gs_20170713_002,Ag K edge XAS transmission of AgCl,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:39:28.000Z,2019-12-05T14:39:55.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,chloride,AgCl,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'chloride'}, {'subject': 'AgCl'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.18709/perscido.2021.09.ds353,PAirMax-Airbus,PerSCiDo,2021,en,Dataset,,"This archive contains 5 panchromatic and multispectral bundles (at both both full and reduced resolution). These images are part of the PAirMax dataset (*). This dataset is provided as a password protected folder as data can be accessed only after accepting the Airbus license. Description: The images were derived from original acquisitions by the PlÃ©iades and Spot7 satellites and are provided courtesy of Airbus. The original images full scenes can be accessed at: https://sandbox.intelligence-airbusds.com -&gt; Pansharpening dataset. The 5 images in this archive are listed below. Please refer to [1] for more details on the images and the preprocessing done. - Pl_Hous_Urb - Pl_Sacr_Mix - Pl_Stoc_Urb - S7_Napl_Urb - S7_NewY_Mix Instruction for retrieving the password: - Go to https://sandbox.intelligence-airbusds.com - Fill the form for requesting the Pansharpening dataset (need to accept the Airbus license) - The password will be provided in the confirmation email. ---------------------------------------------------------------------------- (*) The PAirMax dataset is a collection of data with the aim of assessing the performance of pansharpening algorithms. The data collection includes 5 test cases selected at full resolution (FR), acquired by two sensors belonging to the Airbus' constellation of high-resolution imaging satellites. Moreover, 5 related test cases at reduced resolution (RR), simulated according to the Waldâ€™s protocol, are included, thus resulting in 10 challenging test cases for pansharpening performance assessment. For further details, please, refer to the paper: [1] G. Vivone, M. Dalla Mura, A. Garzelli, and F. Pacifici, \""A Benchmarking Protocol for Pansharpening: Dataset, Pre-processing, and Quality Assessment,\"" IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.",fabrica,True,findable,0,0,0,0,0,2021-09-21T14:31:17.000Z,2021-09-21T14:31:17.000Z,inist.persyval,vcob,"Environmental science and ecology,Information technology","[{'lang': 'en', 'subject': 'Environmental science and ecology'}, {'lang': 'en', 'subject': 'Information technology'}]",['500 MB'],
-10.5281/zenodo.3345743,"Companion code for ""When and how can Stacked Species Distribution Models predict local richness?""",Zenodo,2019,en,Software,Restricted Access,"<strong>When and how can Stacked Species Distribution Models predict local richness?</strong> This repository contains the data and code for our paper: GreniÃ© M., Violle C, Munoz F.<em> When and how can Stacked Species Distribution Models predict local richness?</em>. submitted to <em>Ecological Indicators</em>. <strong>How to cite</strong> Please cite this compendium as: GreniÃ© M., Violle C, Munoz F., (2019). <em>Compendium of R code and data for When and how can Stacked Species Distribution Models predict local richness?</em>. Accessed 29 july 2019. Online at &lt;https://doi.org/10.5281/zenodo.3345743&gt; <strong>How to download or install</strong> You can download the compendium from Zenodo https://doi.org/10.5281/zenodo.3345743 Or you can install this compendium as an R package, `comsat`, from<br> GitHub with: <pre><code># install.packages(""devtools"") remotes::install_github(""Rekyt/comsat"")</code></pre> <strong>How to run the analyses</strong> This compendium uses drake to make analyses reproducible. To redo the analyses and rebuild the manuscript run the following lines (from the `comsat` folder): <pre><code># install.packages(""devtools"") pkgload::load_all() # Load all functions included in the package make(comsat_drake_plan()) # Run Analyses</code></pre> Beware that some code make time a long time to run, and it may be useful<br> to run analyses in parallel.",mds,True,findable,0,0,0,0,0,2019-07-29T11:28:01.000Z,2019-07-29T11:28:02.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4957517,Coda wave sensitivity kernels for non-uniform scattering media: the Monte Carlo simulation code,Zenodo,2021,en,Software,"GNU General Public License v3.0 only,Open Access","The ``kernels_volcano_FZ.c"" code performs Monte Carlo simulations to obtain coda wave sensitivity kernels (travel-time, decorrelation and scattering kernels) for media with non-uniform scattering strength (e.g. a volcanic, fault zone or two half-spaces setting). This code has been used to create the results in the accompanying paper ``Implications of laterally varying scattering properties for subsurface monitoring with coda wave sensitivity kernels: application to volcanic and fault zone setting"" by Chantal van Dinther, Ludovic Margerin and Michel Campillo, submitted to the Journal of Geophysical Research: Solid Earth, with DOI: https://doi.org/10.1029/2021JB022554<br> The details of the code are explained in the paper, including a graphical representation of the delta-scattering, a procedure specific to this code to speed up the calculations of the kernels for non-uniform media.",mds,True,findable,0,0,0,0,0,2021-09-21T13:32:55.000Z,2021-09-21T13:32:56.000Z,cern.zenodo,cern,"monte carlo simulations,sensitivity kernels,non-uniform scattering,travel-time kernel,decorrelation kernel,scattering kernel","[{'subject': 'monte carlo simulations'}, {'subject': 'sensitivity kernels'}, {'subject': 'non-uniform scattering'}, {'subject': 'travel-time kernel'}, {'subject': 'decorrelation kernel'}, {'subject': 'scattering kernel'}]",,
-10.26302/sshade/experiment_bs_20191012_100,"Vis-NIR reflectance spectra of Fontenaille pigments (PIG-0175-2016 + PIG-0218-2019): raw block, powders with different grain sizes and painted matter",SSHADE/PIG (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of Fontenaille pigments (PIG-0175-2016) as powders with grain sizes &lt; 160 Âµm and &gt; 160 Âµm at 2 densities (1.46/1.48 &amp; 1.64 g/cm3), and as a sawn block (PIG-0218-2019), and a painted matter on limestone",mds,True,findable,0,0,0,0,0,2020-06-25T12:04:53.000Z,2020-06-25T12:04:56.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,carbonate,limestone,tektosilicate,Quartz,phyllosilicate,Kaolinite,oxide-hydroxide,Goethite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'carbonate'}, {'subject': 'limestone'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'phyllosilicate'}, {'subject': 'Kaolinite'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Goethite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['6 spectra'],['ASCII']
-10.17178/emaa_ortho-h2co_rotation_b10653cc,Rotation excitation of ortho-H2CO by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",40 rotation energy levels / 104 radiative transitions / 780 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 780 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:34.000Z,2021-11-17T14:01:35.000Z,inist.osug,jbru,"target ortho-H2CO,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.8271248,Investigating the velocity of magmatic intrusions and its relation with rock fracture toughness: insights from laboratory experiments and numerical models,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository provides compressed folders containing the velocity profiles recorded during our oil-filled crack propagation experiments and the code used to simulate those experiments. In particular, the files in compressed folders <strong>10ml</strong>, <strong>30ml</strong>, <strong>50ml</strong> and <strong>others_ml</strong> contain two columns corresponding to the tracked cracks' depth [m] and velocity [m/s]. The two folders <strong>DYKE-CODE_constant-Ef</strong> and <strong>DYKE-CODE_variable-Ef</strong> contain the Fortran90 code, the input and output files, and all the scripts needed to reproduce the simulations and the plots displayed in Figure 3 and Figure 4 of the article <em>""</em>Investigating the velocity of magmatic intrusions and its relation with rock fracture toughness: insights from laboratory experiments and numerical models<em>""</em><strong><em> </em></strong> by A. Gaete, F. Maccaferri, S. Furst, and V. Pinel.",mds,True,findable,0,0,0,0,0,2023-09-06T19:09:03.000Z,2023-09-06T19:09:03.000Z,cern.zenodo,cern,,,,
-10.25364/19.2022.7.3,La comparaison dans Philandre (1544) ProcÃ©dures figuratives en contexte narratif,UniversitÃ¤t Graz,2022,fr,Text,Creative Commons Attribution 4.0 International,"La comparaison participe Ã  l'Ã©laboration des types de texte en s'adaptant aux contraintes formelles
-des genres et aux principes de la production des discours, qui Ã©voluent dans le temps. Elle joue en
-l'occurrence plusieurs rÃ´les dans l'Ã©laboration des sÃ©quences narratives de Philandre, un roman de
-chevalerie composÃ© par Jean des Gouttes et publiÃ© en 1544. Une double approche de linguistique
-textuelle et de stylistique historique permet d'identifier trois grandes procÃ©dures figuratives Ã 
-l'oeuvre dans les Ã©noncÃ©s comparatifs de ces passages, qui mÃ©ritent une description et une analyse.
-La premiÃ¨re consiste dans l'expression du haut degrÃ© des propriÃ©tÃ©s qui fondent la ressemblance, la
-seconde dans la recherche de prÃ©cision dans l'identification de celles-ci et la troisiÃ¨me dans l'Ã©valuation
-des Ã©lÃ©ments rapprochÃ©s et de l'acte de comparaison",fabricaForm,True,findable,0,0,0,0,0,2022-04-04T09:30:40.000Z,2022-04-04T09:30:41.000Z,ugraz.unipub,ugraz,,,,
-10.5281/zenodo.7537055,"Spectral data associated to the publication: ""Reflectance study of ice and Mars soil simulant associationsâ€”II. CO2 and H2O ice"" by Z. Yoldi et al. (Icarus 386, 2022)",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the complete set of experimental VIS-NIR reflectance data collected by Z. Yoldi and co-authors for the article ""Reflectance study of ice and Mars soil simulant associationsâ€”II. CO2 and H2O ice"" published in Icarus 386 (2022). doi: https://doi.org/10.1016/j.icarus.2022.115116. A pre-print of the article is also freely available on ArXiv: https://arxiv.org/abs/2207.13905 The article provides the methodology for the spectral aquisitions, discussion of the errors and uncertainties, analysis of the spectra and implications for the composition of Solar System surfaces. The spectral data are organised in folders corresponding to the different types of experiments detailed in the article. In case both hyperspectral and multispectral data were acquired, they are organised in subfolders. The spectral files inside these folders and subfolders have the following naming convention: spectrum_YYYYMMDD_experiment_name_TYPE_XX_YYY.csv Where TYPE is either multi (multispectral) or hyper (hyperspectral), XX indicates different samples within the experiment (see paper, figures and tables) and YYY is a sequential number in case of a temporal evolution (sublimation experiment in ""20180207_ternary_mixture"" with 12 timesteps). The files are in csv format (columns separated by comma) and the content of each column is indicated in the first line (header).",mds,True,findable,0,0,0,0,0,2023-01-14T14:41:33.000Z,2023-01-14T14:41:34.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_yd_20160401_001,Olivine Hawaii Forsterite Fo88 sand 45-75 Âµm (C1) to 1000-2000 Âµm (C6) grains Vis-NIR reflectance,SSHADE/PaSSTEL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","193 Vis-NIR ASD channels of Olivine Hawaii Forsterite Fo88 sand for 6 different grain size ranges (45-75, 75-125, 125-250, 250-500, 500-1000, 1000-2000 Âµm)",mds,True,findable,0,0,0,0,0,2023-05-09T12:44:31.000Z,2023-05-09T12:44:32.000Z,inist.sshade,mgeg,"laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance,Olivine Forsterite 88,mineral,natural terrestrial,nesosilicate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'bidirectional reflectance', 'subjectScheme': 'variables'}, {'subject': 'Olivine Forsterite 88', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'nesosilicate', 'subjectScheme': 'compound type'}]",['6 spectra'],['ASCII']
-10.17178/emaa_ortho-nh3_rotation_7565c572,"Rotation excitation of ortho-NH3 by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",17 rotation energy levels / 25 radiative transitions / 136 collisional transitions for H (20 temperatures in the range 10-200K) / 136 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 136 collisional transitions for para-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:50.000Z,2021-11-17T14:01:52.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Rotation,collisional excitation,collider.0 H,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.15778/resif.zh2016,POSA experiment,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2013,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","The POSA project, centred on the Mediterranean region, adress the question of on shore risk management upstream to the operations of counter mining in marine domain. We have thus lean on campaigns of measurements during operations of counter mining of explosive devices of the Second World War of diverse powers and in diverse environments. Two broad band stations were installed for the project duration around bay of Toulon (France) were most of the explosions are performed.",mds,True,findable,0,0,0,3,0,2018-04-04T13:29:01.000Z,2018-04-04T13:29:01.000Z,inist.resif,vcob,"Counter mining,marine explosion,Risk assesment,seismic waves propagation,seismic noise","[{'subject': 'Counter mining'}, {'subject': 'marine explosion'}, {'subject': 'Risk assesment'}, {'subject': 'seismic waves propagation'}, {'subject': 'seismic noise'}]","['2 stations,25 Gb per year']","['Miniseed data', 'stationXML metadata']"
-10.15778/resif.yz2004,Tabriz temporary experiment (RESIF - SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2010,en,Other,"Open Access,Creative Commons Attribution 4.0 International","Microearthquake study conducted in 2004 with 31 portable stations around the city of Tabriz, which is crossed by an active fault and experienced several destructive earthquakes in the recent history. From April 24 until July 24, we recorded 80 earthquakes in more than 4 stations. Most of the earthquakes are located along the Tabriz fault. We computed 22 focal mechanisms that mostly show right-lateral strike-slip motion consistent with the surface motion.",mds,True,findable,0,0,0,1,0,2018-03-01T15:50:36.000Z,2018-03-01T15:50:36.000Z,inist.resif,vcob,"Seismology,Tectonics,Iran,Tabriz","[{'subject': 'Seismology'}, {'subject': 'Tectonics'}, {'subject': 'Iran'}, {'subject': 'Tabriz'}]",,
-10.5281/zenodo.7796264,Dataset for Manuscript: Comparing Urban Anthropogenic NMVOC Measurements with Representation in Emission Inventories - A Global Perspective,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Urban observations of individual NMVOCs and the calculated or reported emission ratios used for comparison to emission inventories.,mds,True,findable,0,0,0,0,0,2023-04-03T19:35:52.000Z,2023-04-03T19:35:53.000Z,cern.zenodo,cern,"volatile organic compounds,NMVOCs,air pollution observations,urban,emission inventories","[{'subject': 'volatile organic compounds'}, {'subject': 'NMVOCs'}, {'subject': 'air pollution observations'}, {'subject': 'urban'}, {'subject': 'emission inventories'}]",,
-10.5061/dryad.490p9,Data from: Optimizing the trade-off between spatial and genetic sampling efforts in patchy populations: towards a better assessment of functional connectivity using an individual-based sampling scheme,Dryad,2013,en,Dataset,Creative Commons Zero v1.0 Universal,"Genetic data are increasingly used in landscape ecology for the indirect assessment of functional connectivity, i.e. the permeability of landscape to movements of organisms. Among available tools, matrix correlation analyses (e.g. Mantel tests or mixed models) are commonly used to test for the relationship between pairwise genetic distances and movement costs incurred by dispersing individuals. When organisms are spatially clustered, a population-based sampling scheme (PSS) is usually performed, so that a large number of genotypes can be used to compute pairwise genetic distances on the basis of allelic frequencies. Because of financial constraints, this kind of sampling scheme implies a drastic reduction in the number of sampled aggregates, thereby reducing sampling coverage at the landscape level. We used matrix correlation analyses on simulated and empirical genetic datasets to investigate the efficiency of an individual-based sampling scheme (ISS) in detecting isolation-by-distance and isolation-by-barrier patterns. Provided that pseudo-replication issues are taken into account (e.g. through restricted permutations in Mantel tests), we showed that the use of inter-individual measures of genotypic dissimilarity may efficiently replace inter-population measures of genetic differentiation: the sampling of only three or four individuals per aggregate may be sufficient to efficiently detect specific genetic patterns in most situations. The ISS proved to be a promising methodological alternative to the more conventional PSS, offering much flexibility in the spatial design of sampling schemes and ensuring an optimal representativeness of landscape heterogeneity in data, with few aggregates left unsampled. Each strategy offering specific advantages, a combined use of both sampling schemes is discussed.",mds,True,findable,322,86,1,1,0,2013-08-22T16:56:16.000Z,2013-08-22T16:56:18.000Z,dryad.dryad,dryad,"Habitat Degradation,Ichthyosaura alpestris","[{'subject': 'Habitat Degradation'}, {'subject': 'Ichthyosaura alpestris'}]",['4550442 bytes'],
-10.17178/amma-catch.cl.run_o,"Surface water dataset (river discharge), within the upper Oueme watershed (14 000 km2 ), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1996,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Long-term measurements (LOP) of river discharge and electrical conductivity of water on the sub-basins of the Upper Oueme. Allow to relate runoff fluctuation to rainfall variability. The electrical conductivity of river water is an integrative measure that allows documentation of the origin of waters (rainfall, surface and sub-surface runoff, watertable drainage). Associated to the chemical characterization of water (CE.Wchem_O), these data give insight into process of runoff generation, allow to compute water balance components and constitute validation datasets for hydrological models.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:17.000Z,2018-03-16T15:37:17.000Z,inist.osug,jbru,"Discharge,Sudanian climate,Discharge/Flow (hourly),Discharge/Flow (daily average),Discharge/Flow Upper Boundary Of Uncertainty Interval (hourly),Discharge/Flow Lower Boundary Of Uncertainty Interval (hourly),Discharge/Flow Upper Boundary Of Uncertainty Interval (daily average),Discharge/Flow Lower Boundary Of Uncertainty Interval (daily average)","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow (hourly)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow (daily average)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Upper Boundary Of Uncertainty Interval (hourly)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Lower Boundary Of Uncertainty Interval (hourly)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Upper Boundary Of Uncertainty Interval (daily average)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow Lower Boundary Of Uncertainty Interval (daily average)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.26302/sshade/experiment_op_20180717_003,Cu K edge XAS HERFD (Kalpha1) of CuSO4 in aqueous solution at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:03:46.000Z,2019-12-05T13:03:47.000Z,inist.sshade,mgeg,"laboratory,liquid solution,CuSO4.xH2O solution at ambient conditions,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'liquid solution'}, {'subject': 'CuSO4.xH2O solution at ambient conditions'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.6084/m9.figshare.22807638,Additional file 1 of Phenotype and imaging features associated with APP duplications,figshare,2023,,Image,Creative Commons Attribution 4.0 International,Additional file 1: Supp Figure 1. MRI scans of two APP duplication carriers showing deep microbleeds (orange arrows). A: EXT_814 carrying a 5.7Mb duplication and B: EXT_1516 carrying a 0.95Mb duplication.,mds,True,findable,0,0,0,0,0,2023-05-12T03:40:49.000Z,2023-05-12T03:40:49.000Z,figshare.ars,otjm,"Biochemistry,Medicine,Cell Biology,Neuroscience,Science Policy","[{'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Science Policy'}]",['568868 Bytes'],
-10.6084/m9.figshare.23575390,Additional file 11 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authorsâ€™ original file for figure 10,mds,True,findable,0,0,0,0,0,2023-06-25T03:12:05.000Z,2023-06-25T03:12:06.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['36864 Bytes'],
-10.6084/m9.figshare.c.6712342,Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract High levels of arsenic in groundwater and drinking water are a major health problem. Although the processes controlling the release of As are still not well known, the reductive dissolution of As-rich Fe oxyhydroxides has so far been a favorite hypothesis. Decoupling between arsenic and iron redox transformations has been experimentally demonstrated, but not quantitatively interpreted. Here, we report on incubation batch experiments run with As(V) sorbed on, or co-precipitated with, 2-line ferrihydrite. The biotic and abiotic processes of As release were investigated by using wet chemistry, X-ray diffraction, X-ray absorption and genomic techniques. The incubation experiments were carried out with a phosphate-rich growth medium and a community of Fe(III)-reducing bacteria under strict anoxic conditions for two months. During the first month, the release of Fe(II) in the aqueous phase amounted to only 3% to 10% of the total initial solid Fe concentration, whilst the total aqueous As remained almost constant after an initial exchange with phosphate ions. During the second month, the aqueous Fe(II) concentration remained constant, or even decreased, whereas the total quantity of As released to the solution accounted for 14% to 45% of the total initial solid As concentration. At the end of the incubation, the aqueous-phase arsenic was present predominately as As(III) whilst X-ray absorption spectroscopy indicated that more than 70% of the solid-phase arsenic was present as As(V). X-ray diffraction revealed vivianite Fe(II)3(PO4)2.8H2O in some of the experiments. A biogeochemical model was then developed to simulate these aqueous- and solid-phase results. The two main conclusions drawn from the model are that (1) As(V) is not reduced during the first incubation month with high Eh values, but rather re-adsorbed onto the ferrihydrite surface, and this state remains until arsenic reduction is energetically more favorable than iron reduction, and (2) the release of As during the second month is due to its reduction to the more weakly adsorbed As(III) which cannot compete against carbonate ions for sorption onto ferrihydrite. The model was also successfully applied to recent experimental results on the release of arsenic from Bengal delta sediments.",mds,True,findable,0,0,0,0,0,2023-06-25T03:12:09.000Z,2023-06-25T03:12:10.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",,
-10.6084/m9.figshare.16851108,Additional file 21 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 21: Fig. S14. Association between NME4, NME1 and markers of EMT in human breast tumors. NME4 and NME1 status in the cohort of 526 human breast tumor clinical samples: mRNA correlation between NME4 and CDH1 (A), NME4 and KRT18 (B), NME1 and CDH1 (C), NME1 and KRT18 (D), NME1 and VIM (E).",mds,True,findable,0,0,93,1,0,2021-10-22T04:05:42.000Z,2021-10-22T04:05:45.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['19521989 Bytes'],
-10.17178/emaa_para-h2c(18o)_rotation_8f130c2d,Rotation excitation of para-H2C[18O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 rotation energy levels / 56 radiative transitions / 351 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 351 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2022-06-08T11:35:19.000Z,2022-06-08T11:35:20.000Z,inist.osug,jbru,"target para-H2C[18O],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_sb_20200609_001,Absorption coefficient in the VIS and NIR for a natural spinel,SSHADE/DOCCD (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-06-26T10:03:06.000Z,2020-06-26T10:03:07.000Z,inist.sshade,mgeg,"natural terrestrial,oxide-hydroxide,Spinel,laboratory measurement,transmission,macroscopic,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,absorption coefficient","[{'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Spinel'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorption coefficient'}]",['1 spectrum'],['ASCII']
-10.6084/m9.figshare.22620031,"Additional file 1 of Biallelic variants in NOS3 and GUCY1A3, the two major genes of the nitric oxide pathway, cause moyamoya cerebral angiopathy",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Genealogical trees of to the 6 consanguineous MMA probands.,mds,True,findable,0,0,0,0,0,2023-04-13T14:39:34.000Z,2023-04-13T14:40:09.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['134635 Bytes'],
-10.17178/emaa_ortho-(13c)c2h2_rotation_a4239764,Rotation excitation of ortho-c-[13C]C2H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",49 rotation energy levels / 109 radiative transitions / 1176 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 1176 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:34.000Z,2023-12-07T15:51:35.000Z,inist.osug,jbru,"target ortho-c-[13C]C2H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-c-[13C]C2H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.7307797,SolSysELTs2022 Part II: Discussion: Ice-Rich Small Bodies,Zenodo,2022,en,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access",Discussion: video recording,mds,True,findable,0,0,0,0,0,2022-11-09T12:28:01.000Z,2022-11-09T12:28:01.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10577879,sedInterFoam,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"A three-dimensional two-phase flow solver with resolution of a free surface, sedInterFoam, has been developed for sediment transport applications. The solver is extended from sedFoam (https://zenodo.org/records/7944048), itself extended from twoPhaseEulerFoam available in the 2.1.0 release of the open-source CFD (computational fluid dynamics) toolbox OpenFOAM.",api,True,findable,0,0,0,0,0,2024-01-28T14:52:06.000Z,2024-01-28T14:52:06.000Z,cern.zenodo,cern,"Three-phase flow solver,OpenFoam,Sediment transport","[{'subject': 'Three-phase flow solver'}, {'subject': 'OpenFoam'}, {'subject': 'Sediment transport'}]",,
-10.26302/sshade/experiment_cl_20180316_03,MIR reflectance spectrum of a EET92159 CR chondrite pellet,SSHADE/DAYSY (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Average MIR reflectance spectrum of a pellet of EET92159 CR chondrite, obtained by hyperspectral imaging",mds,True,findable,0,0,0,0,0,2022-06-01T21:26:23.000Z,2022-06-01T21:26:23.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CR,complex organic-mineral mix,matrix EET92159,complex mineral mix,chondrules EET92159,CAIs EET92159,laboratory measurement,confocal reflection,micro-imaging,MIR,Mid-Infrared,normalized reflectance","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CR'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix EET92159'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules EET92159'}, {'subject': 'CAIs EET92159'}, {'subject': 'laboratory measurement'}, {'subject': 'confocal reflection'}, {'subject': 'micro-imaging'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'normalized reflectance'}]",['1 spectrum'],['ASCII']
-10.5061/dryad.st350,Data from: Moving in the Anthropocene: global reductions in terrestrial mammalian movements,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Animal movement is fundamental for ecosystem functioning and species survival, yet the effects of the anthropogenic footprint on animal movements have not been estimated across species. Using a unique GPS-tracking database of 803 individuals across 57 species, we found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in areas with a low human footprint. We attribute this reduction to behavioral changes of individual animals and to the exclusion of species with long-range movements from areas with higher human impact. Global loss of vagility alters a key ecological trait of animals that affects not only population persistence but also ecosystem processes such as predator-prey interactions, nutrient cycling, and disease transmission.",mds,True,findable,787,125,1,1,0,2018-01-12T03:31:49.000Z,2018-01-12T03:31:50.000Z,dryad.dryad,dryad,"Eulemur rufifrons,Chlorocebus pygerythrus,Madoqua guentheri,Lynx lynx,Odocoileus hemionus,Euphractus sexcinctus,Panthera onca,Human Footprint,Cervus elaphus,Lepus europaeus,Chrysocyon brachyurus,Cerdocyon thous,Giraffa camelopardalis,Odocoileus virginianus,Antilocapra americana,Tolypeutes matacus,Martes pennanti,Odocoileus hemionus columbianus,Equus hemionus,Alces alces,Felis silvestris,Ovibos moschatus,Canis aureus,Canis latrans,Papio anubis,Papio cynocephalus,Rangifer tarandus,Canis lupus,Sus scrofa,Puma concolor,Gulo gulo,Connochaetes taurinus,Saguinus geoffroyi,Saiga tatarica,Capreolus capreolus,Cercocebus galeritus,Equus quagga,Tapirus terrestris,Myrmecophaga tridactyla,Aepyceros melampus,Anthropocene,Beatragus hunteri,Loxodonta africana,Dasypus novemcinctus,Loxodonta africana cyclotis,Procyon lotor,Ursus arctos,Equus grevyi,Tamandua mexicana,Syncerus caffer,Panthera pardus,Procapra gutturosa,Trichosurus vulpecula,Propithecus verreauxi","[{'subject': 'Eulemur rufifrons'}, {'subject': 'Chlorocebus pygerythrus'}, {'subject': 'Madoqua guentheri'}, {'subject': 'Lynx lynx'}, {'subject': 'Odocoileus hemionus'}, {'subject': 'Euphractus sexcinctus'}, {'subject': 'Panthera onca'}, {'subject': 'Human Footprint'}, {'subject': 'Cervus elaphus'}, {'subject': 'Lepus europaeus'}, {'subject': 'Chrysocyon brachyurus'}, {'subject': 'Cerdocyon thous'}, {'subject': 'Giraffa camelopardalis'}, {'subject': 'Odocoileus virginianus'}, {'subject': 'Antilocapra americana'}, {'subject': 'Tolypeutes matacus'}, {'subject': 'Martes pennanti'}, {'subject': 'Odocoileus hemionus columbianus'}, {'subject': 'Equus hemionus'}, {'subject': 'Alces alces'}, {'subject': 'Felis silvestris'}, {'subject': 'Ovibos moschatus'}, {'subject': 'Canis aureus'}, {'subject': 'Canis latrans'}, {'subject': 'Papio anubis'}, {'subject': 'Papio cynocephalus'}, {'subject': 'Rangifer tarandus'}, {'subject': 'Canis lupus'}, {'subject': 'Sus scrofa'}, {'subject': 'Puma concolor'}, {'subject': 'Gulo gulo'}, {'subject': 'Connochaetes taurinus'}, {'subject': 'Saguinus geoffroyi'}, {'subject': 'Saiga tatarica'}, {'subject': 'Capreolus capreolus'}, {'subject': 'Cercocebus galeritus'}, {'subject': 'Equus quagga'}, {'subject': 'Tapirus terrestris'}, {'subject': 'Myrmecophaga tridactyla'}, {'subject': 'Aepyceros melampus'}, {'subject': 'Anthropocene'}, {'subject': 'Beatragus hunteri'}, {'subject': 'Loxodonta africana'}, {'subject': 'Dasypus novemcinctus'}, {'subject': 'Loxodonta africana cyclotis'}, {'subject': 'Procyon lotor'}, {'subject': 'Ursus arctos'}, {'subject': 'Equus grevyi'}, {'subject': 'Tamandua mexicana'}, {'subject': 'Syncerus caffer'}, {'subject': 'Panthera pardus'}, {'subject': 'Procapra gutturosa'}, {'subject': 'Trichosurus vulpecula'}, {'subject': 'Propithecus verreauxi'}]",['585903 bytes'],
-10.6084/m9.figshare.c.6252814,Outcomes of mild-to-moderate postresuscitation shock after non-shockable cardiac arrest and association with temperature management: a post hoc analysis of HYPERION trial data,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Outcomes of postresuscitation shock after cardiac arrest can be affected by targeted temperature management (TTM). A post hoc analysis of the â€œTTM1 trialâ€ suggested higher mortality with hypothermia at 33 Â°C. We performed a post hoc analysis of HYPERION trial data to assess potential associations linking postresuscitation shock after non-shockable cardiac arrest to hypothermia at 33 Â°C on favourable functional outcome. Methods We divided the patients into groups with vs. without postresuscitation (defined as the need for vasoactive drugs) shock then assessed the proportion of patients with a favourable functional outcome (day-90 Cerebral Performance Category [CPC] 1 or 2) after hypothermia (33 Â°C) vs. controlled normothermia (37 Â°C) in each group. Patients with norepinephrine or epinephrine &gt; 1 Âµg/kg/min were not included. Results Of the 581 patients included in 25 ICUs in France and who did not withdraw consent, 339 had a postresuscitation shock and 242 did not. In the postresuscitation-shock group, 159 received hypothermia, including 14 with a day-90 CPC of 1â€“2, and 180 normothermia, including 10 with a day-90 CPC of 1â€“2 (8.81% vs. 5.56%, respectively; P = 0.24). After adjustment, the proportion of patients with CPC 1â€“2 also did not differ significantly between the hypothermia and normothermia groups (adjusted hazards ratio, 1.99; 95% confidence interval, 0.72â€“5.50; P = 0.18). Day-90 mortality was comparable in these two groups (83% vs. 86%, respectively; P = 0.43). Conclusions After non-shockable cardiac arrest, mild-to-moderate postresuscitation shock at intensive-care-unit admission did not seem associated with day-90 functional outcome or survival. Therapeutic hypothermia at 33 Â°C was not associated with worse outcomes compared to controlled normothermia in patients with postresuscitation shock. Trial registration ClinicalTrials.gov, NCT01994772",mds,True,findable,0,0,0,0,0,2022-10-18T03:24:07.000Z,2022-10-18T03:24:07.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",,
-10.6084/m9.figshare.20221982,Additional file 5 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter caseâ€“control computed tomography study,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 5: Univariate analysis of variables associated with lung recruitment,mds,True,findable,0,0,27,1,0,2022-07-04T06:41:13.000Z,2022-07-04T06:41:14.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['19706 Bytes'],
-10.5281/zenodo.6568218,"Data and Analysis Script for Cluster2022 Submission pap254: ""Painless Transposition of Reproducible Distributed Environments with NixOS Compose""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data and Analysis Script for Cluster2022 Submission pap254: ""Painless Transposition of Reproducible Distributed Environments with NixOS Compose"" The experiments repository is available at: https://gitlab.inria.fr/nixos-compose/articles/cluster2022",mds,True,findable,0,0,0,0,0,2022-05-20T22:25:05.000Z,2022-05-20T22:25:06.000Z,cern.zenodo,cern,,,,
-10.18709/perscido.2023.05.ds394,Snow status (wet/dry) in Antarctica at 4.45 km resolution from the satellite microwave scatterometer ASCAT (2007 -- 2021),PerSCiDO,2023,,Dataset,,"The dataset provides daily binary status (wet/dry) of the snowpack for each pixel at 4.45 km resolution in Antarctica over 14 years. This status is retrieved from radar backscatter measurements acquired by ASCAT, using a threshold of -3dB below the winter average backscatter level. The resolution of individual ASCAT measurements is coarse (tens of km), but is enhanced using the SIR algorithm by exploiting overlaps between all the overpasses over two or three few days. The product is gridded at 4.45 km, but the effective spatial resolution is likely a bit coarser, between this grid resolution and the measurement resolution (tens of km). The effective temporal resolution is a few days even though the product is provided daily.",api,True,findable,0,0,0,0,0,2023-05-26T12:09:01.000Z,2023-05-26T12:09:01.000Z,inist.persyval,vcob,glaciology,"[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}]",['100 Mo'],['netcdf']
-10.26302/sshade/experiment_sb_20210324_001,Optical constants of nonstoichiometric spinels in MIR/FIR,SSHADE/DOCCD (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-04-23T06:53:23.000Z,2021-04-23T06:53:24.000Z,inist.sshade,mgeg,"laboratory,oxide-hydroxide,Mg$_{1.01}$Al$_{1.99}$O$_{4}$,Mg$_{0.94}$Al$_{2.04}$O$_{4}$,Mg$_{0.82}$Al$_{2.12}$O$_{4}$,Mg$_{0.73}$Al$_{2.17}$O$_{4}$,Mg$_{0.53}$Al$_{2.31}$O$_{4}$,Mg$_{0.43}$Al$_{2.38}$O$_{4}$,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Mg$_{1.01}$Al$_{1.99}$O$_{4}$'}, {'subject': 'Mg$_{0.94}$Al$_{2.04}$O$_{4}$'}, {'subject': 'Mg$_{0.82}$Al$_{2.12}$O$_{4}$'}, {'subject': 'Mg$_{0.73}$Al$_{2.17}$O$_{4}$'}, {'subject': 'Mg$_{0.53}$Al$_{2.31}$O$_{4}$'}, {'subject': 'Mg$_{0.43}$Al$_{2.38}$O$_{4}$'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['6 spectra'],['ASCII']
-10.5281/zenodo.6223302,Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder,Zenodo,2022,,Dataset,"Creative Commons Attribution 1.0 Generic,Open Access","This is the public dataset of synthetic trajectories and MOT17-3T, which is used in paper Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder. The source code can be found here.",mds,True,findable,0,0,0,0,0,2022-02-22T12:38:53.000Z,2022-02-22T12:38:53.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3862151,MGB hydrological model for ParanÃ¡ Basin,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains model code, input and output data for the MGB hydrological model applied to the Upper ParanÃ¡ Basin. Output files (QTUDO_XXX.QBI) are binary ones (single format) containing daily discharges for all model unit-catchments for each simulation scenario. Simulation scenarios are a combination of storage representation and operation rule types. Storage representation types: L=Lumped reservoir E=Equally distributed reservoir V=Variably distributed reservoir Operation rules: T=Three points rule Tg=rule T with global-based configuration R=regression-based rule Rg=rule R with global-based configuration S=inflow-based rule (based on Shin et al. 2019 WRR) Sg=rule S with global-based configuration Additionally, simulation scenarios with pristine conditions (i.e., without reservoirs) and without floodplains are also provided. For further details please contact Ayan Fleischmann at 'ayan.fleischmann at gmail.com'.",mds,True,findable,0,0,0,0,0,2020-05-28T10:42:08.000Z,2020-05-28T10:42:10.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6380887,"Data from: Protein Conformational Space at the Edge of Allostery: Turning a Non-allosteric Malate Dehydrogenase into an ""Allosterized"" Enzyme using Evolution Guided Punctual Mutations",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This data accompanies the paper entitled <em>Protein Conformational Space at the Edge of Allostery: Turning a Non-allosteric Malate Dehydrogenase into an â€œAllosterizedâ€ Enzyme using Evolution Guided Punctual Mutations</em> The zip archive contains the results of molecular dynamics simulations of the 4 systems investigated in the paper: wt of A. ful MalDH and three mutants. Each system has been simulated at two temperatures, 300 K and 340 K. Starting configurations of the proteins after equilibration are provided for all the systems in GRO Gromos87 format. Trajectories with the positions of the proteins every 100 ps are provided for all the systems in XTC gromacs format.",mds,True,findable,0,0,0,0,0,2022-03-24T10:53:28.000Z,2022-03-24T10:53:28.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.2575055,robertxa/pyswath: Second release of pyswath,Zenodo,2019,,Software,Open Access,Python module to extract swath profiles from a raster. This is the second release.,mds,True,findable,0,0,0,1,0,2019-02-21T19:49:43.000Z,2019-02-21T19:49:44.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7180985,Code and data presented in ICAART 2023,Zenodo,2022,en,Software,"Creative Commons Attribution 4.0 International,Open Access",The code used to obtain the graph presented in the paper.<br> Additional data such as the trust fluctuation of all the agents and the data in CSV format. Read the REAMDE.md for more information.,mds,True,findable,0,0,0,0,0,2022-10-10T11:09:19.000Z,2022-10-10T11:09:19.000Z,cern.zenodo,cern,,,,
-10.48440/gfz.4.8.2021.002, The H2020 REFLECT project: Deliverable 4.1 - Userâ€™s Guide of a Coupled Hydro-Thermal-Chemical Code for Fluids,GFZ German Research Centre for Geosciences,2021,en,Text,Creative Commons Attribution 4.0 International,"This document presents the developed code, porousMedia4Foam, an open-source hydrogeochemical package that can decipher fluid flow and chemical reactive processes occurring within multi- {scale, dimensional, phase, compositional} environments. This report gives details regarding the installation of porousMedia4Foam, running the first simulations and describing many application cases in single-phase and multiphase systems. ",fabricaForm,True,findable,0,0,0,0,0,2021-07-14T12:49:11.000Z,2021-09-02T15:59:00.000Z,tib.gfzbib,gfz,,,['55 pages'],['pdf']
-10.5281/zenodo.7970338,"CliffEBM - A Gridded Ice Cliff Energy Balance Model (first public release, v01.1)",Zenodo,2023,en,Software,"Creative Commons Attribution 4.0 International,Open Access","<em>CliffEBM </em>is a model that calculates the distributed surface energy balance and backwasting (melt) rates for ice cliffs, i.e. steep ice surfaces with complex, heterogeneous topographies. The model is validated and described in Buri, P., Pellicciotti, F., Steiner, J., Miles, E., &amp; Immerzeel, W. (2016). <strong>A grid-based model of backwasting of supraglacial ice cliffs on debris-covered glaciers.</strong> <em>Annals of Glaciology,</em> <em>57</em>(71), 199-211. https://doi.org/10.3189/2016AoG71A059 See most update version here: https://github.com/pburi/CliffEBM In this repository we provide example input data (digital elevation models, shapefiles, meteodata) to run <em>CliffEBM </em>on one supraglacial cliff on the debris-covered Lirung Glacier (Nepal). Working example: to run the model, download the entire repository on your machine and adjust the paths in the model code (<em>CliffEBM.R</em>, section ""<em>primary definitions</em>"") according to the paths on your machine. Software: R (R version 4.3.0 (2023-04-21 ucrt) -- ""Already Tomorrow""). The model should also run on older versions. Packages: <em>cleaRskyQuantileRegression, doParallel, foreach, grDevices, iterators, methods, parallel, raster, rgdal, rgeos, sf, sp, stats, utils, zoo</em>",mds,True,findable,0,0,0,0,0,2023-05-25T11:41:22.000Z,2023-05-25T11:41:22.000Z,cern.zenodo,cern,"Ice cliffs,Debris-covered glaciers,Energy balance,Backwasting","[{'subject': 'Ice cliffs'}, {'subject': 'Debris-covered glaciers'}, {'subject': 'Energy balance'}, {'subject': 'Backwasting'}]",,
-10.26302/sshade/experiment_ml_20171219_001,Zr K edge XAS fluorescence of natural vlasovite Na2ZrSi4O11 at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:34:07.000Z,2019-12-05T14:34:10.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,natural terrestrial,inosilicate,Natural vlasovite Na2ZrSi4O11,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'natural terrestrial'}, {'subject': 'inosilicate'}, {'subject': 'Natural vlasovite Na2ZrSi4O11'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.10619442,"Data and Code for ""Energetically consistent Eddy-Diffusivity Mass-Flux schemes for Atmospheric and Oceanic Convection""",Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"This repository contains the codes and data used to produce the figures of ""Energetically consistent Eddy-Diffusivity Mass-Flux schemes for Atmospheric and Oceanic Convection"", a paper by M. Perrot andÂ  F. LemariÃ© submitted to Journal of Advanced Modelling in Earth Sciences. See readme.md for pratical usage.",api,True,findable,0,0,0,0,0,2024-02-05T14:45:11.000Z,2024-02-05T14:45:12.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_ortho-nh2d_hyperfine_0ead32a0,Hyperfine excitation of ortho-NH2D by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 90 radiative transitions / 276 collisional transitions for para-H2 (7 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:43.000Z,2021-11-17T14:01:45.000Z,inist.osug,jbru,"target ortho-NH2D,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.6827882,"ASTRI Mini-Array Instrument Response Functions (Prod2, v1.0)",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Aim:</strong> This data repository provides access to a set of Instrument Response Functions (IRFs) of the ASTRI Mini-Array, saved in a FITS data file. The IRFs can be used as input to science analysis tools for high-level scientific analysis purposes. <strong>Citations:</strong> In the case the present ASTRI Mini-Array Instrument Response Functions (IRFs) are used in a research project, we kindly ask to add the following acknowledgement in any resulting publication: ""This research has made use of the ASTRI Mini-Array Instrument Response Functions (IRFs) provided by the ASTRI Project [citation]."" Please use the following BibTex Entry for [citation] in the reference section of your publication: https://zenodo.org/record/6827882/export/hx <strong>Instrument:</strong> The ASTRI Mini-Array is an international project led by the Italian National Institute for Astrophysics (INAF) to build and operate an array of nine 4-m class Imaging Atmospheric Cherenkov Telescopes (IACTs) at the <em>Observatorio del Teide</em> (Tenerife, Spain) [1]. The telescopes are an evolution of the dual-mirror ASTRI-Horn telescope, successfully installed and tested since 2014 at the INAF â€œM.C. Fracastoroâ€ observing station in Serra La Nave (Mt. Etna, Italy) [2][3]. The ASTRI Mini-Array is designed to perform deep observations of the galactic and extragalactic gamma-ray sky in the TeV and multi-TeV energy band, with a differential sensitivity that surpass the one of current Cherenkov telescope facilities above a few TeV, extending the energy band well above hundreds of TeV [4]. The main science goals of the ASTRI Mini-Array in the very high-energy (VHE) gamma-ray band encompass both galactic and extragalactic science [5][6][7]. Important synergies with other ground-based gamma-ray facilities in the Northern Hemisphere and space-borne telescopes are foreseen. <strong>Monte Carlo Simulations:</strong> The IRFs of the ASTRI Mini-Array were obtained from a dedicated Monte Carlo (MC) production (dubbed ASTRI Mini-Array Prod2, version 1.0). Air showers initiated by gamma rays, protons and electrons were simulated using the CORSIKA package [8] (version 6.99), while the response of the array telescopes was simulated using the sim_telarray package [9] (version 2018-11-07). The layout of the ASTRI Mini-Array telescopes considered in the MC simulations is based on the actual telescope positions at the Teide Observatory site (28.30Â°N, 16.51Â°W, 2390 m a.s.l.). The nominal telescope pointing configuration, in which all telescopes point to the same sky position, was assumed in all MC simulations. Air showers produced by the primaries were simulated as coming from a zenith angle of 20Â° and an azimuth angle of 0Â° and 180Â° (corresponding to telescope pointing directions toward the geomagnetic North and South, respectively). Although not-negligible differences in performance (on the order of â‰¤15% at a zenith angle of 20Â°) are found between the two azimuthal pointing directions, the final IRFs were obtained by averaging between the two directions. Finally, all MC simulations were generated with a night sky background (NSB) level corresponding to dark sky conditions at the Teide Observatory site. <strong>Monte Carlo data reduction and analysis:</strong> The MC simulations were reduced and analysed with A-SciSoft [10][11] (version 0.3.1), the scientific software package of the ASTRI Project. The calibration and reconstruction of the MC events were achieved with the standard methods implemented in the data reduction pipeline (see [10][11] for more details). In particular, the background rejection and energy reconstruction were achieved with a procedure based on the Random Forest method [12], while the arrival direction of each shower was estimated from a weighted intersection of the major axes of the images from different telescopes. After the full reconstruction of the MC events, the background (proton and electron) events were re-weighted according to recent experimental measurements of their spectra, while gamma-ray events with a power-law gamma-ray spectrum with a photon index of 2.62. This approach follows a similar procedure adopted in [13]. The final analysis cuts were based on the background rejection, shower arrival direction, and event multiplicity parameters. They were defined, in each considered energy bin and off-axis bin, by optimising the flux sensitivity for 50 hr exposure time. Then, five standard deviations (5Ïƒ, with Ïƒ defined as in Eq. 17 of [14]) were required for a detection in each energy bin and off-axis bin, considering the same exposure time (as in the cut optimization procedure) and a ratio of the off-source to on-source exposure equal to 5. In addition, the signal excess was required to be larger than 10 and at least 5 times the expected systematic uncertainty in the background estimation (assumed to be âˆ¼1%). It should be noted that these analysis cuts, based on the best flux sensitivity, do not provide the best angular and energy resolution achievable by the system. Other analysis cuts, which take into account both differential flux sensitivity and angular/energy resolution in the cut optimization process, may actually provide better performance [4]. <strong>Instrument Response Functions (IRFs):</strong> The IRFs are saved in a FITS data file [15] which contains the following quantities (FITS tables): effective collection area (""EFFECTIVE AREA"" table), angular resolution (""POINT SPREAD FUNCTION"" table), energy resolution (""ENERGY DISPERSION"" table), and residual background rate (""BACKGROUND"" table). These quantities are provided as a function of the energy and the off-axis. The energy bins are logarithmic and range between 10<sup>-0.7 </sup>~ 0.2 TeV and 10<sup>2.5 </sup>~ 316 TeV. Five energy bins per decade are used for the angular resolution and residual background rate, while ten energy bins per decade for the effective collection area. In the case of energy resolution, the energy migration matrix is provided with a much finer energy binning. The off-axis bins are linearly spaced between 0Â° and 6Â°, with a bin width equal to 1Â°. In the case of the residual background rate, a 2-dimensional squared spatial binning is used, which ranges between 0Â° and 6Â° with a bin width equal to 0.2Â° in each direction. The IRFs can be used as input to science analysis tools and, in particular, are compliant with the input/output (I/O) data format requested by the science analysis tools Gammapy [16] and ctools [17]. <strong>Dataset:</strong> The dataset consists of one file: ""astri_100_43_008_0502_C0_20_AVERAGE_50h_SC_v1.0.lv3.fits"". The naming convention is: astri_[ARRAY_ID]_[ORIG_ID]_[REL_ID]_[PACKET_TYPE]_[CLASS_CUT]_[ZENITH]_[AZIMUTH]_[ EXPOSURE_TIME]_[AIM]_[VERSION].lv3.fits where: [ARRAY_ID] = 100 (100 = ASTRI Mini-Array with 9 telescopes) [ORIG_ID] = 43 (4 = INAF-OAR; 3 = AIV/AIT MC simulations) [REL_ID] = 008 (008 = MC prod2, v1.0) [PACKET_TYPE] = 0502 (0502 = IRF3) [CLASS_CUT] = C0 (C0 = cuts based on sensitivity maximisation) [ZENITH] = 20 [deg] [AZIMUTH] = AVERAGE [deg] [EXPOSURE_TIME] = 50h [AIM] = SC (SC = SCience) [VERSION]= v1.0 <strong>Acknowledgments:</strong> This work was conducted in the context of the ASTRI Project thanks to the support of the Italian Ministry of University and Research (MUR) as well as the Ministry for Economic Development (MISE) with funds specifically assigned to the Italian National Institute of Astrophysics (INAF). We acknowledge support from the Brazilian Funding Agency FAPESP (Grant 2013/10559-5) and from the South African Department of Science and Technology through Funding Agreement 0227/2014 for the South African Gamma-Ray Astronomy Programme. The Instituto de Astrofisica de Canarias (IAC) is supported by the Spanish Ministry of Science and Innovation (MICIU). This work has also been partially supported by H2020-ASTERICS, a project funded by the European Commission Framework Programme Horizon 2020 Research and Innovation action under grant agreement n. 653477. This work has gone through the internal ASTRI review process. We would also like to thank the computing centres that provided resources for the generation of the Monte Carlo (MC) simulations used to produce the ASTRI Mini-Array Instrument Response Functions (IRFs) released in this work: CAMK, Nicolaus Copernicus Astronomical Center, Warsaw, Poland CIEMAT-LCG2, CIEMAT, Madrid, Spain CYFRONET-LCG2, ACC CYFRONET AGH, Cracow, Poland DESY-ZN, Deutsches Elektronen-Synchrotron, Standort Zeuthen, Germany GRIF, Grille de Recherche dâ€™Ile de France, Paris, France IN2P3-CC, Centre de Calcul de lâ€™IN2P3, Villeurbanne, France IN2P3-CPPM, Centre de Physique des Particules de Marseille, Marseille, France IN2P3-LAPP, Laboratoire d'Annecy de Physique des Particules, Annecy, France INFN-FRASCATI, INFN Frascati, Frascati, Italy INFN-T1, CNAF INFN, Bologna, Italy INFN-TORINO, INFN Torino, Torino, Italy MPIK, Heidelberg, Germany OBSPM, Observatoire de Paris Meudon, Paris, France PIC, port dâ€™informacio cientifica, Bellaterra, Spain prague_cesnet_lcg2, CESNET, Prague, Czech Republic praguelcg2, FZU Prague, Prague, Czech Republic UKI-NORTHGRID-LANCS-HEP, Lancaster University, United Kingdom <strong>References:</strong> Scuderi, S. et al., ""The ASTRI Mini-Array of Cherenkov telescopes at the Observatorio del Teide"", Journal of High Energy Astrophysics 35, 52â€“68 (2022). Giro, E. et al., ""First optical validation of a Schwarzschild Couder telescope: the ASTRI SST-2M Cherenkov telescope"", A&amp;A 608, A86 (Sept. 2017). Lombardi, S. et al., ""First detection of the Crab Nebula at TeV energies with a Cherenkov telescope in a dual-mirror Schwarzschild-Couder configuration: the ASTRI-Horn telescope"", A&amp;A 634, A22 (Feb. 2020). Lombardi, S. et al., ""Performance of the ASTRI Mini-Array at the Observatorio del Teide"", in [37th International Cosmic Ray Conference. 12-23 July 2021. Berlin], 884 (Mar. 2022). Vercellone, S. et al., ""ASTRI Mini-Array core science at the Observatorio del Teide"", Journal of High Energy Astrophysics 35, 1â€“42 (2022). Dâ€™AÃ¬, A. et al., ""Galactic Observatory Science with the ASTRI Mini-Array at the Observatorio del Teide"", Journal of High Energy Astrophysics 35, 139â€“175 (2022). Saturni, F. et al., ""Extragalactic Observatory Science with the ASTRI Mini-Array at the Observatorio del Teide"", Journal of High Energy Astrophysics 35, 91â€“111 (2022). Heck, D. et al., [CORSIKA: a Monte Carlo code to simulate extensive air showers.], Report FZKA 6019 (1998). BernlÃ¶hr, K., ""Simulation of imaging atmospheric Cherenkov telescopes with CORSIKA and sim_telarray"", Astropart. Phys. 30, 149â€“158 (Oct. 2008). Lombardi, S. et al., ""ASTRI SST-2M prototype and mini-array data reconstruction and scientific analysis software in the framework of the Cherenkov Telescope Array"", in [Software and Cyberinfrastructure for Astronomy IV], Chiozzi, G. and Guzman, J. C., eds., Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series 9913, 991315 (July 2016). Lombardi, S. et al., ""ASTRI data reduction software in the framework of the Cherenkov Telescope Array"", in [Software and Cyberinfrastructure for Astronomy V], Guzman, J. C. and Ibsen, J., eds., Society of Photo- Optical Instrumentation Engineers (SPIE) Conference Series 10707, 107070R (July 2018). Breiman, L., ""Random Forests"", Machine Learning 45, 5â€“32 (Jan. 2001). Cherenkov Telescope Array Observatory, &amp; Cherenkov Telescope Array Consortium. (2021). CTAO Instrument Response Functions - prod5 version v0.1 (v0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5499840 Li, T.-P. and Ma, Y.-Q., ""Analysis methods for results in gamma-ray astronomy"", ApJ, 272, 317 (1983) Pence, W. D. et al., ""Definition of the Flexible Image Transport System (FITS), version 3.0"", A&amp;A 524, A42 (Dec. 2010). Deil, C. et al., ""Gammapy - A prototype for the CTA science tools"", in [35th International Cosmic Ray Conference (ICRC2017)], International Cosmic Ray Conference 301, 766 (Jan. 2017). KnÃ¶dlseder, J. et al., ""GammaLib and ctools. A software framework for the analysis of astronomical gamma- ray data"", A&amp;A 593, A1 (Aug. 2016).",mds,True,findable,0,0,0,0,0,2022-07-13T16:42:00.000Z,2022-07-13T16:42:01.000Z,cern.zenodo,cern,"ASTRI Mini-Array,Cherenkov telescopes,gamma-ray astronomy,high-level science-ready products,scientific analysis","[{'subject': 'ASTRI Mini-Array'}, {'subject': 'Cherenkov telescopes'}, {'subject': 'gamma-ray astronomy'}, {'subject': 'high-level science-ready products'}, {'subject': 'scientific analysis'}]",,
-10.17178/emaa_c(15n)_hyperfine_a1b197e3,Hyperfine excitation of C[15N] by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",34 hyperfine energy levels / 76 radiative transitions / 560 collisional transitions for para-H2 (25 temperatures in the range 5-150K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:37.000Z,2021-11-18T13:34:37.000Z,inist.osug,jbru,"target C[15N],excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[15N]', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5061/dryad.g72v731,Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Metabarcoding of lake sediments have been shown to reveal current and past biodiversity, but little is known about the degree to which taxa growing in the vegetation are represented in environmental DNA (eDNA) records. We analysed composition of lake and catchment vegetation and vascular plant eDNA at 11 lakes in northern Norway. Out of 489 records of taxa growing within 2 m from the lake shore, 17-49% (mean 31%) of the identifiable taxa recorded were detected with eDNA. Of the 217 eDNA records of 47 plant taxa in the 11 lakes, 73% and 12% matched taxa recorded in vegetation surveys within 2 m and up to about 50 m away from the lakeshore, respectively, whereas 16% were not recorded in the vegetation surveys of the same lake. The latter include taxa likely overlooked in the vegetation surveys or growing outside the survey area. The percentages detected were 61, 47, 25, and 15 for dominant, common, scattered, and rare taxa, respectively. Similar numbers for aquatic plants were 88, 88, 33 and 62%, respectively. Detection rate and taxonomic resolution varied among plant families and functional groups with good detection of e.g. Ericaceae, Roseaceae, deciduous trees, ferns, club mosses and aquatics. The representation of terrestrial taxa in eDNA depends on both their distance from the sampling site and their abundance and is sufficient for recording vegetation types. For aquatic vegetation, eDNA may be comparable with, or even superior to, in-lake vegetation surveys and may therefore be used as an tool for biomonitoring. For reconstruction of terrestrial vegetation, technical improvements and more intensive sampling is needed to detect a higher proportion of rare taxa although DNA of some taxa may never reach the lake sediments due to taphonomical constrains. Nevertheless, eDNA performs similar to conventional methods of pollen and macrofossil analyses and may therefore be an important tool for reconstruction of past vegetation.",mds,True,findable,385,55,1,1,0,2018-03-23T21:54:37.000Z,2018-03-23T21:54:38.000Z,dryad.dryad,dryad,"biomonitoring,palaeobotany,Holocene","[{'subject': 'biomonitoring'}, {'subject': 'palaeobotany'}, {'subject': 'Holocene'}]",['3664863480 bytes'],
-10.26302/sshade/experiment_la_20201113_000,VIS-NIR reflectance spectra of 6 different particles size fractions of the Mars Global Simulant MGS-1 (CLASS Exolith Lab - UCF),SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Six different particle size fractions of the Mars regolith simulant MGS-1 were separated by dry sieving with a Varisfiter sonic separator. Their respective VIS-NIR reflectance spectra were then measured with the MoHIS hyperspectral imager.,mds,True,findable,0,0,0,0,0,2023-06-16T12:37:06.000Z,2023-06-16T12:37:07.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,Anorthite,Olivine,Pyroxene,Plagioclase,Volcanic glass,Mg-sulfate,Ferrihydrite,Hydrated silica,Magnetite,Anhydrite,Fe-carbonate,Hematite,mineral,laboratory,natural terrestrial,tektosilicate,nesosilicate,inosilicate,sulfate,oxide-hydroxide,silicate,carbonate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Anorthite', 'subjectScheme': 'name'}, {'subject': 'Olivine', 'subjectScheme': 'name'}, {'subject': 'Pyroxene', 'subjectScheme': 'name'}, {'subject': 'Plagioclase', 'subjectScheme': 'name'}, {'subject': 'Volcanic glass', 'subjectScheme': 'name'}, {'subject': 'Mg-sulfate', 'subjectScheme': 'name'}, {'subject': 'Ferrihydrite', 'subjectScheme': 'name'}, {'subject': 'Hydrated silica', 'subjectScheme': 'name'}, {'subject': 'Magnetite', 'subjectScheme': 'name'}, {'subject': 'Anhydrite', 'subjectScheme': 'name'}, {'subject': 'Fe-carbonate', 'subjectScheme': 'name'}, {'subject': 'Hematite', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'nesosilicate', 'subjectScheme': 'compound type'}, {'subject': 'inosilicate', 'subjectScheme': 'compound type'}, {'subject': 'sulfate', 'subjectScheme': 'compound type'}, {'subject': 'oxide-hydroxide', 'subjectScheme': 'compound type'}, {'subject': 'silicate', 'subjectScheme': 'compound type'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}]",['6 spectra'],['ASCII']
-10.15778/resif.yb2010,Seismic network YB: Haiti 2010 aftershock experiment (RESIF-SISMOB),RESIF - Rseau Sismologique et godsique Franais,2009,en,Other,"Open Access,Creative Commons Attribution 4.0 International","The temporary experiment was a contribution to the effort of several international groups to follow the aftershock sequence of the 12 January 2010, M=7, Haiti desatreous earthquake. The deployement of four 6 components (broad band velocimeters and accelerometers) land stations was organized by the Observatoire volcanologique et sismologique de Martinique (OVSM,IPGP) with the participation of the Universit des Antilles et de la Guyanne. Data were analysed together with the data from the French OBS (Ocean Bottom Seismometers) launched by IFREMER and Goazur (UCA, CNRS, IRD, OCA) and the RNCAN (Natural Ressource Canada).",mds,True,findable,0,0,0,4,0,2018-02-15T14:44:14.000Z,2018-02-15T14:44:14.000Z,inist.resif,vcob,"Aftershocks,Haiti,Enriquillo Plantain Garden fault,Logne fault,2010 Haiti earthquake","[{'subject': 'Aftershocks'}, {'subject': 'Haiti'}, {'subject': 'Enriquillo Plantain Garden fault'}, {'subject': 'Logne fault'}, {'subject': '2010 Haiti earthquake'}]",,
-10.26302/sshade/bandlist_abs_s2o_am-so2-matrix,Absorption band list of S2O in amorphous SO2 matrix,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR absorption band list of the isotopes of $S_2O$ in amorphous $SO_2$ matrix,mds,True,findable,0,0,0,0,0,2023-05-13T13:18:37.000Z,2023-05-13T13:18:37.000Z,inist.sshade,mgeg,"natural $S_2O$ in amorphous $SO_2$ matrix,Sulfur dioxide,Disulfur monoxide,amorphous Sulfur dioxide ice,amorphous SO2,Sulfur dioxide,Disulfur monoxide,7446-09-5,20901-21-7,SO2,S2O,polar molecular solid,molecular solids with polar molecules,inorganic molecular solid,absorption,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural $S_2O$ in amorphous $SO_2$ matrix', 'subjectScheme': 'name'}, {'subject': 'Sulfur dioxide', 'subjectScheme': 'name'}, {'subject': 'Disulfur monoxide', 'subjectScheme': 'name'}, {'subject': 'amorphous Sulfur dioxide ice', 'subjectScheme': 'name'}, {'subject': 'amorphous SO2', 'subjectScheme': 'name'}, {'subject': 'Sulfur dioxide', 'subjectScheme': 'IUPAC name'}, {'subject': 'Disulfur monoxide', 'subjectScheme': 'IUPAC name'}, {'subject': '7446-09-5', 'subjectScheme': 'CAS number'}, {'subject': '20901-21-7', 'subjectScheme': 'CAS number'}, {'subject': 'SO2', 'subjectScheme': 'formula'}, {'subject': 'S2O', 'subjectScheme': 'formula'}, {'subject': 'polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with polar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5281/zenodo.10262983,Unite! handbook of best practices for effective mainstreaming of open science and innovation at Universities,Unite! Alliance Publications,2023,en,Text,Creative Commons Attribution 4.0 International,"This handbook is a practical guide for facilitating researchers, R&I support services, and university managers to transition from modern science to open science. Based on a comparative case study of 70 research teams across 7 European universities in the Unite! Alliance, this handbook reveals a high-impact understanding of the best open science and innovation practices on Unite! research teams and exposes guidelines for the adoption of these practices. This handbook shapes a new governance model for the management of open science and innovation in universities in the digital era.Â ",api,True,findable,0,0,0,0,0,2023-12-11T11:19:53.000Z,2023-12-11T11:19:53.000Z,cern.zenodo,cern,"open science,open science management,university governance,open innovation,science and innovation policy,open exploration,european universities alliances","[{'subject': 'open science'}, {'subject': 'open science management'}, {'subject': 'university governance'}, {'subject': 'open innovation'}, {'subject': 'science and innovation policy'}, {'subject': 'open exploration'}, {'subject': 'european universities alliances'}]",,
-10.26302/sshade/experiment_lb_20191220_003,"NIR reflectance spectrum (i=0Â°, e=30Â°) of bulk CR chondrites under vacuum at T = 80Â°C",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR reflectance spectra (i = 0Â°, e=30Â°) of bulk CR chondrites under vacuum at T = 80Â°C",mds,True,findable,0,0,0,0,0,2020-08-13T09:15:06.000Z,2020-08-13T09:15:07.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CR,complex organic-mineral mix,matrix EET92042,complex mineral mix,chondrules EET92042,CAIs EET92042,matrix GRA95229,chondrules GRA95229,CAIs GRA95229,matrix LAP04720,chondrules LAP04720,CAIs LAP04720,matrix MIL090657,chondrules MIL090657,CAIs MIL090657,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CR'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix EET92042'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules EET92042'}, {'subject': 'CAIs EET92042'}, {'subject': 'matrix GRA95229'}, {'subject': 'chondrules GRA95229'}, {'subject': 'CAIs GRA95229'}, {'subject': 'matrix LAP04720'}, {'subject': 'chondrules LAP04720'}, {'subject': 'CAIs LAP04720'}, {'subject': 'matrix MIL090657'}, {'subject': 'chondrules MIL090657'}, {'subject': 'CAIs MIL090657'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['4 spectra'],['ASCII']
-10.5061/dryad.rxwdbrvbg,"Genomic shifts, phenotypic clines and fitness costs associated with cold-tolerance in the Asian tiger mosquito",Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Climatic variation is a key driver of genetic differentiation and phenotypic traits evolution, and local adaptation to temperature is expected in widespread species. We investigated phenotypic and genomic changes in the native range of the Asian tiger mosquito, Aedes albopictus. We first refine the phylogeographic structure based on genome-wide regions (1,901 double-digest restriction-site associated DNA single nucleotide polymophisms [ddRAD SNPs]) from 41 populations. We then explore the patterns of cold adaptation using phenotypic traits measured in common garden (wing size and cold tolerance) and genotypeâ€“temperature associations at targeted candidate regions (51,706 exon-capture SNPs) from nine populations. We confirm the existence of three evolutionary lineages including clades A (Malaysia, Thailand, Cambodia, and Laos), B (China and Okinawa), and C (South Korea and Japan). We identified temperature-associated differentiation in 15 out of 221 candidate regions but none in ddRAD regions, supporting the role of directional selection in detected genes. These include genes involved in lipid metabolism and a circadian clock gene. Most outlier SNPs are differently fixed between clades A and C, whereas clade B has an intermediate pattern. Females are larger at higher latitudes yet produce no more eggs, which might favor the storage of energetic reserves in colder climates. Nondiapausing eggs from temperate populations survive better to cold exposure than those from tropical populations, suggesting they are protected from freezing damages but this cold tolerance has a fitness cost in terms of egg viability. Altogether, our results provide strong evidence for the thermal adaptation of A. albopictus across its wide temperature range.",mds,True,findable,89,1,0,0,0,2022-11-18T18:12:59.000Z,2022-11-18T18:13:00.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,Aedes albopictus,ddRAD Sequencing,thermal adaptation,Common garden,fitness,cold tolerance,Wing Size","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Aedes albopictus'}, {'subject': 'ddRAD Sequencing'}, {'subject': 'thermal adaptation'}, {'subject': 'Common garden'}, {'subject': 'fitness'}, {'subject': 'cold tolerance'}, {'subject': 'Wing Size'}]",['10516046 bytes'],
-10.15778/resif.8f2016,"MARGATS temporary experiment, French Guiana (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2017,,Dataset,,"Study of the origin and formation of the Demerara plateau. 13 broad-band stations in French Guyana, near the border with Surinam.",mds,True,findable,0,0,0,0,0,2022-03-17T15:56:43.000Z,2022-03-17T15:57:33.000Z,inist.resif,vcob,Margats,[{'subject': 'Margats'}],"['13 stations, 3.5Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.17178/amma-catch.cl.rain_cotonou,"Precipitation dataset (5 minutes rainfall), at Cotonou, Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2008,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall climatology based on a tipping bucket rain gage in the reference point of the DMN station, in the town of Cotonou, in Benin.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:11.000Z,2018-03-16T15:37:12.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sudanian climate,Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.4302473,Alternative architecture of the E. coli chemosensory array.,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","We present molecular models for extended patches of the <em>E. coli</em> chemosensory array. The models display either the canonical p6-symmetric architecture or an alternative p2-symmetric architecture recently observed in <em>E. coli</em> minicells. For more information, please see the associated BioRxiv preprint. Questions regarding the coordinates may be directed to Keith Cassidy (keith.cassidy@bioch.ox.ac.uk).",mds,True,findable,0,0,0,0,0,2020-12-06T13:52:06.000Z,2020-12-06T13:52:07.000Z,cern.zenodo,cern,"bacterial chemotaxis,chemosensory array","[{'subject': 'bacterial chemotaxis'}, {'subject': 'chemosensory array'}]",,
-10.5281/zenodo.2585908,Role of the quasi-particles in an electric circuit with Josephson junctions (Code and Data),Zenodo,2019,,Software,"Creative Commons Attribution 4.0 International,Open Access","This the codes and data used to produce results of the article Role of the quasi-particles in an electric circuit with Josephson junctions. It is a new algorithm to from self-consistent time dependent transport. Time dependent transport is compute by the software in development ""t-Kwant"". Both relies on Kwant package (Web page, article). Bound stats are found using a software in development (GitLab). The full code and data necessary to obtain the figure of the article are contained in this repository. The code is under development and not at all user friendly. Contents: - tkwant, new_tkwant: library used for simulations. - Scripts: python scripts used to run simulations. - Data_set: data produced by the scripts. - Post-process: jupyter notebook to transform Data_set/Raw into Data_set. - Plots: jupyter notebook producing figure of article from Data_set.",mds,True,findable,0,0,0,0,0,2019-03-06T16:22:33.000Z,2019-03-06T16:22:34.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.22625611,"Additional file 2 of A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 2.,mds,True,findable,0,0,0,0,0,2023-04-13T18:56:31.000Z,2023-04-13T18:56:31.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['374370 Bytes'],
-10.5281/zenodo.7085313,maprdhm/SPACiSS: v1.0.0,Zenodo,2022,,Software,Open Access,Simulation of Pedestrians and an Autonomous Car in Shared Spaces https://github.com/maprdhm/SPACiSS/commits/v1.0.0,mds,True,findable,0,0,0,1,0,2022-09-16T10:02:08.000Z,2022-09-16T10:02:08.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6991116,UFO model for NLO predictions in supersymmetric QCD,Zenodo,2022,,Dataset,"Creative Commons Zero v1.0 Universal,Open Access",NLO Predictions in suspersymmetric QCD,mds,True,findable,0,0,0,0,0,2022-08-14T20:40:21.000Z,2022-08-14T20:40:22.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_ortho-nhd2_hyperfine_b4d17e14,Hyperfine excitation of ortho-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",46 hyperfine energy levels / 275 radiative transitions / 990 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:53.000Z,2021-11-17T14:01:56.000Z,inist.osug,jbru,"target ortho-NHD2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_tg_20181312_001,UV-Vis optical indices of 3 oxygenated Tholins films,SSHADE/SPAN (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Set of UV-Visible (270-600nm) optical indices of tholins films formed with different $CH_4$ and $CO_2$ percentages in $N_2$ gas: 5%:0%, 5%:5%, 5%:8%",mds,True,findable,0,0,0,0,0,2023-04-20T18:06:18.000Z,2023-04-20T18:06:19.000Z,inist.sshade,mgeg,"laboratory measurement,ellipsometry,macroscopic,UV,Ultraviolet,Vis,Visible,optical constants,OxyTholins LATMOS Film 95%N2:0%CO2:5%CH4,OxyTholins LATMOS Film 90%N2:5%CO2:5%CH4,laboratory,complex macromolecular mixture","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'ellipsometry', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'UV', 'subjectScheme': 'var'}, {'subject': 'Ultraviolet', 'subjectScheme': 'var'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'optical constants', 'subjectScheme': 'var'}, {'subject': 'OxyTholins LATMOS Film 95%N2:0%CO2:5%CH4', 'subjectScheme': 'name'}, {'subject': 'OxyTholins LATMOS Film 90%N2:5%CO2:5%CH4', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'complex macromolecular mixture', 'subjectScheme': 'compound type'}]",['3 spectra'],['ASCII']
-10.5281/zenodo.7693381,Long term mean Potential Evapotranspiration (PET) and Actual Evapotranspiration (EAT) estimates using World-Wide HYPE and different PET-formula,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data of the article ""<strong>Which Potential Evapotranspiration Formula to Use in Hydrological Modelling World-wide? </strong>"" (Pimentel et al. 2023, <em>Water Resources Research, </em>https://doi.org/10.1029/2022WR033447)",mds,True,findable,0,0,0,0,0,2023-03-02T20:14:03.000Z,2023-03-02T20:14:03.000Z,cern.zenodo,cern,"Evapotranspiration, Global Hydrological Model, PET-formula","[{'subject': 'Evapotranspiration, Global Hydrological Model, PET-formula'}]",,
-10.34847/nkl.deb655as,"Brouillons de ""La RÃ©ticence"" de Jean-Philippe Toussaint",NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,Image,,"Il s'agit des brouillons de ""La RÃ©ticence"" de Jean-Philippe Toussaint, publiÃ© aux Ã‰ditions de minuit (1991). 
-
-Ces brouillons ont Ã©tÃ© confiÃ©s par leur auteur Ã  lâ€™UnitÃ© Mixte de Recherche Litt&Arts (UMR 5316 â€“ Arts et pratiques du texte, de lâ€™image, de lâ€™Ã©cran et de la scÃ¨ne â€“  UniversitÃ© Grenoble Alpes / CNRS) sous la responsabilitÃ© scientifique de Brigitte Ferrato-Combe. RÃ©unissant la totalitÃ© des documents prÃ©paratoires du roman, depuis les premiÃ¨res notes jusquâ€™aux Ã©preuves et correspondances avec lâ€™Ã©diteur, ce fonds dâ€™archives se rÃ©vÃ¨le particuliÃ¨rement intÃ©ressant pour les Ã©tudes littÃ©raires, stylistiques ou gÃ©nÃ©tiques.
-
-Les 2700 feuillets tapuscrits, comportant une abondante annotation manuscrite, ont Ã©tÃ© numÃ©risÃ©s par le Service interuniversitaire de Documentation de lâ€™UniversitÃ© Grenoble Alpes oÃ¹ ils sont momentanÃ©ment conservÃ©s. Ils seront dÃ©posÃ©s en totalitÃ© sur la plateforme collaborative TACT ( https://tact.demarre-shs.fr/ ) pour faire lâ€™objet dâ€™une transcription, opÃ©ration indispensable pour leur donner une pleine lisibilitÃ© et permettre les analyses et recherches automatiques sur le texte.",api,True,findable,0,0,0,0,0,2022-06-20T08:52:01.000Z,2022-06-20T08:52:01.000Z,inist.humanum,jbru,"Roman,LittÃ©rature,NumÃ©risation,Brouillons d'Ã©crivains","[{'lang': 'fr', 'subject': 'Roman'}, {'lang': 'fr', 'subject': 'LittÃ©rature'}, {'lang': 'fr', 'subject': 'NumÃ©risation'}, {'lang': 'fr', 'subject': ""Brouillons d'Ã©crivains""}]","['2046790 Bytes', '2241023 Bytes', '2325721 Bytes', '1989166 Bytes', '1932694 Bytes', '1893451 Bytes', '2118354 Bytes', '2147233 Bytes', '1983636 Bytes', '1958790 Bytes', '1894068 Bytes', '1918702 Bytes', '1937866 Bytes', '1867242 Bytes', '2062908 Bytes', '1941417 Bytes', '1868017 Bytes', '1769630 Bytes', '2143693 Bytes', '1804149 Bytes', '1970057 Bytes', '1996921 Bytes', '2042590 Bytes', '2078862 Bytes', '1917388 Bytes', '1971766 Bytes', '1842476 Bytes', '1898751 Bytes', '1955171 Bytes', '1965983 Bytes', '1956569 Bytes', '2068919 Bytes', '2127795 Bytes', '1760632 Bytes', '1957071 Bytes', '2113433 Bytes', '1941921 Bytes', '2169882 Bytes', '2140967 Bytes', '1942984 Bytes', '2198283 Bytes', '2176472 Bytes', '2152475 Bytes', '2178341 Bytes', '2256745 Bytes', '2070150 Bytes', '2211847 Bytes', '2172466 Bytes', '2161079 Bytes', '2184210 Bytes', '2061465 Bytes', '2316823 Bytes', '1935355 Bytes', '2053428 Bytes', '1911118 Bytes', '2164384 Bytes', '2034165 Bytes', '1960880 Bytes', '2102914 Bytes', '1966634 Bytes', '2224278 Bytes', '1909663 Bytes', '2133934 Bytes', '2305939 Bytes', '2159730 Bytes', '2294965 Bytes', '1992738 Bytes', '2296147 Bytes', '2128023 Bytes', '2101295 Bytes', '2052330 Bytes', '1922599 Bytes', '2217219 Bytes', '2185173 Bytes', '2195471 Bytes', '1956431 Bytes', '2017298 Bytes', '2312791 Bytes', '2087914 Bytes', '2142514 Bytes', '2207794 Bytes', '2271788 Bytes', '1877890 Bytes', '2115686 Bytes', '2005476 Bytes', '2005922 Bytes', '2239703 Bytes', '2149208 Bytes', '2004366 Bytes', '2273467 Bytes', '2334889 Bytes', '2174022 Bytes', '2177380 Bytes', '2251700 Bytes', '1929618 Bytes', '1912676 Bytes', '2085460 Bytes', '1997151 Bytes', '2175466 Bytes', '2343705 Bytes', '1946110 Bytes', '2021680 Bytes', '1951004 Bytes', '2233259 Bytes', '2121020 Bytes', '2065540 Bytes', '2157687 Bytes', '2014092 Bytes', '1909215 Bytes', '1996819 Bytes', '2124329 Bytes', '1945644 Bytes', '2014085 Bytes', '1935799 Bytes', '2175538 Bytes', '2141861 Bytes', '1907402 Bytes', '1907919 Bytes', '2106657 Bytes', '2020614 Bytes', '1982907 Bytes', '1862598 Bytes', '2013454 Bytes', '1950623 Bytes', '1940142 Bytes', '2087595 Bytes', '1984674 Bytes', '1997799 Bytes', '2098973 Bytes', '1876523 Bytes', '1859357 Bytes', '1994187 Bytes', '2013016 Bytes', '1946209 Bytes', '1997688 Bytes', '2203158 Bytes', '2038107 Bytes', '2163251 Bytes', '2038162 Bytes', '1979989 Bytes', '2000753 Bytes', '2068707 Bytes', '2049141 Bytes', '1993396 Bytes', '2019430 Bytes', '2144069 Bytes', '2320324 Bytes', '2024824 Bytes', '1961180 Bytes', '2282263 Bytes', '1944736 Bytes', '1951442 Bytes', '2316564 Bytes', '2106829 Bytes', '1888265 Bytes', '2021576 Bytes', '2067496 Bytes', '2019407 Bytes', '2231596 Bytes', '2252020 Bytes', '2125669 Bytes', '2055863 Bytes', '1938595 Bytes', '2022474 Bytes', '2044583 Bytes', '2125572 Bytes', '2206003 Bytes', '1989145 Bytes', '1985829 Bytes', '1953835 Bytes', '2556123 Bytes', '2163441 Bytes', '2230848 Bytes', '2177349 Bytes', '1931057 Bytes', '2445323 Bytes', '2318311 Bytes', '2272351 Bytes', '1961964 Bytes', '1865102 Bytes', '2282774 Bytes', '2327642 Bytes', '2304436 Bytes', '2010093 Bytes', '2095683 Bytes', '2117537 Bytes', '2496445 Bytes', '2103379 Bytes', '2240543 Bytes', '1954621 Bytes', '2347375 Bytes', '1980530 Bytes', '2183916 Bytes', '2303709 Bytes', '2064402 Bytes', '2003494 Bytes', '1956269 Bytes', '2063063 Bytes', '2100066 Bytes', '2285135 Bytes', '1958308 Bytes', '2027822 Bytes', '1981454 Bytes', '1946670 Bytes', '2071498 Bytes', '2332283 Bytes', '1991546 Bytes', '2340168 Bytes', '2345182 Bytes', '1970725 Bytes', '2474847 Bytes', '2406043 Bytes', '2280780 Bytes', '2300097 Bytes', '2154814 Bytes', '2210434 Bytes', '2040773 Bytes', '2373718 Bytes', '2005673 Bytes', '2120246 Bytes', '2390556 Bytes', '2093013 Bytes', '2309097 Bytes', '2198265 Bytes', '2204180 Bytes', '1917661 Bytes', '2039123 Bytes', '2307952 Bytes', '2257896 Bytes', '2086915 Bytes', '1957441 Bytes', '2110249 Bytes', '1994276 Bytes', '2105570 Bytes', '1964566 Bytes', '2045890 Bytes', '2119361 Bytes', '2089487 Bytes', '2093831 Bytes', '2179747 Bytes', '2190754 Bytes', '2242101 Bytes', '2548561 Bytes', '1871933 Bytes', '2162713 Bytes', '2074685 Bytes', '2172382 Bytes', '2018042 Bytes', '2120130 Bytes', '2094470 Bytes', '2241499 Bytes', '2089879 Bytes', '2328017 Bytes', '2053519 Bytes', '2032906 Bytes', '2188439 Bytes', '2223412 Bytes', '2075969 Bytes', '2107106 Bytes', '2148370 Bytes', '2231310 Bytes', '1989456 Bytes', '1864199 Bytes', '2054133 Bytes', '1907633 Bytes', '2024903 Bytes', '1920978 Bytes', '2185745 Bytes', '2016348 Bytes', '2398110 Bytes', '2286514 Bytes', '2247337 Bytes', '2314295 Bytes', '2451031 Bytes', '2204816 Bytes', '2127685 Bytes', '2218988 Bytes', '2332287 Bytes', '2315469 Bytes', '2010486 Bytes', '2152836 Bytes', '2021887 Bytes', '2341160 Bytes', '2238914 Bytes', '1945235 Bytes', '2198689 Bytes', '2044620 Bytes', '2187964 Bytes', '2043192 Bytes', '2205812 Bytes', '2085950 Bytes', '2184844 Bytes', '2120197 Bytes', '2044218 Bytes', '2345259 Bytes', '2062545 Bytes', '2125782 Bytes', '1983305 Bytes', '2130311 Bytes', '2146079 Bytes', '1947687 Bytes', '2141191 Bytes', '2052326 Bytes', '2263216 Bytes', '2409343 Bytes', '2327174 Bytes', '2165039 Bytes', '2164515 Bytes', '2158397 Bytes', '2283559 Bytes', '2178060 Bytes', '2187334 Bytes', '2327243 Bytes', '2176008 Bytes', '2297788 Bytes', '2100176 Bytes', '2308202 Bytes', '2353333 Bytes', '2299413 Bytes', '2312552 Bytes', '2232773 Bytes', '2269343 Bytes', '2142081 Bytes', '1962867 Bytes', '2228675 Bytes', '2139485 Bytes', '2301878 Bytes', '2200966 Bytes', '2057934 Bytes', '2057253 Bytes', '2201376 Bytes', '2050247 Bytes', '2184110 Bytes', '2053702 Bytes', '2161806 Bytes', '2280476 Bytes', '1858625 Bytes', '2090640 Bytes', '2150625 Bytes', '2175318 Bytes', '2242460 Bytes', '2002492 Bytes', '2145179 Bytes', '2151496 Bytes', '1981650 Bytes', '2356035 Bytes', '2115861 Bytes', '2127494 Bytes', '2381488 Bytes', '2076442 Bytes', '2247999 Bytes', '2302153 Bytes', '1989307 Bytes', '2194490 Bytes', '1938841 Bytes', '2041375 Bytes', '2220183 Bytes', '2296991 Bytes', '2295314 Bytes', '2351320 Bytes', '2170670 Bytes', '2083381 Bytes', '2008923 Bytes', '2176091 Bytes', '2117533 Bytes', '2057263 Bytes', '2528838 Bytes', '2028921 Bytes', '1919435 Bytes', '1982091 Bytes', '1838237 Bytes', '2061952 Bytes', '2208544 Bytes', '2033261 Bytes', '2287463 Bytes', '2158180 Bytes', '2090269 Bytes', '2092869 Bytes', '2186026 Bytes', '2343338 Bytes', '2301954 Bytes', '2293495 Bytes', '2381854 Bytes', '2237646 Bytes', '2199803 Bytes', '2243206 Bytes', '2364120 Bytes', '1952705 Bytes', '2276435 Bytes', '2304132 Bytes', '2313414 Bytes', '2232386 Bytes', '2283151 Bytes', '1934311 Bytes', '2276864 Bytes', '2112756 Bytes', '2245075 Bytes', '1898376 Bytes', '2341405 Bytes', '2142213 Bytes', '2200679 Bytes', '2203160 Bytes', '2034234 Bytes', '1997899 Bytes', '2128581 Bytes', '1993463 Bytes', '2153813 Bytes', '2162200 Bytes', '2044306 Bytes', '2152629 Bytes', '2097517 Bytes', '2205718 Bytes', '1931084 Bytes', '1958557 Bytes', '2050212 Bytes', '1929795 Bytes', '2532484 Bytes', '2474182 Bytes', '2484355 Bytes', '2108678 Bytes', '2288595 Bytes', '2103431 Bytes', '2229467 Bytes', '2086866 Bytes', '2145072 Bytes', '2021045 Bytes', '2052907 Bytes', '2181594 Bytes', '2286522 Bytes', '2200829 Bytes', '2197765 Bytes', '2361562 Bytes', '2324988 Bytes', '2135134 Bytes', '2149485 Bytes', '1998719 Bytes', '1844695 Bytes', '2113584 Bytes', '2368482 Bytes', '2584859 Bytes', '1932221 Bytes', '1229567 Bytes', '1690251 Bytes', '1413823 Bytes', '1665499 Bytes', '1424036 Bytes', '1504040 Bytes', '1524752 Bytes', '1662530 Bytes', '1601508 Bytes', '1532895 Bytes', '1872577 Bytes', '1669682 Bytes', '1838025 Bytes', '1752880 Bytes', '1716287 Bytes', '1762420 Bytes', '2006292 Bytes', '1614522 Bytes', '1498000 Bytes', '2088008 Bytes', '2328633 Bytes', '1988589 Bytes', '2413580 Bytes', '1893420 Bytes', '1741209 Bytes', '2168979 Bytes', '2382163 Bytes', '1971392 Bytes', '2232282 Bytes', '1629620 Bytes', '2234340 Bytes', '1997156 Bytes', '2256146 Bytes', '2331438 Bytes', '2305358 Bytes', '2126839 Bytes', '1895385 Bytes', '2150223 Bytes', '1738038 Bytes', '2300952 Bytes', '1917170 Bytes', '2074255 Bytes', '2341889 Bytes', '2446293 Bytes', '2054242 Bytes', '2484562 Bytes', '2178830 Bytes', '2171984 Bytes', '2549881 Bytes', '1881894 Bytes', '2143574 Bytes', '2268131 Bytes', '1988731 Bytes', '1681848 Bytes', '2026465 Bytes', '1811601 Bytes', '1727594 Bytes', '2349043 Bytes', '1827842 Bytes', '1941834 Bytes', '2041704 Bytes', '1894843 Bytes', '1947635 Bytes', '1885564 Bytes', '1852942 Bytes', '2022882 Bytes', '2086760 Bytes', '1767185 Bytes', '1903486 Bytes', '1632853 Bytes', '1775791 Bytes', '2048393 Bytes', '1751058 Bytes', '2033134 Bytes', '2473588 Bytes', '1908521 Bytes', '2331679 Bytes', '1471278 Bytes', '1782799 Bytes', '2421041 Bytes', '2128110 Bytes', '1693570 Bytes', '2287919 Bytes', '2406094 Bytes', '2163751 Bytes', '2034471 Bytes', '1706547 Bytes', '1745713 Bytes', '1810993 Bytes', '1841154 Bytes', '1696264 Bytes', '1649322 Bytes', '2096729 Bytes', '1727937 Bytes', '1668082 Bytes', '1866350 Bytes', '1817267 Bytes', '1757373 Bytes', '1925471 Bytes', '1846660 Bytes', '2065702 Bytes', '2033751 Bytes', '1854724 Bytes', '1682160 Bytes', '1691009 Bytes', '1675896 Bytes', '1986489 Bytes', '1815857 Bytes', '1909412 Bytes', '1710080 Bytes', '1896160 Bytes', '1693136 Bytes', '2437382 Bytes', '2138459 Bytes', '1609574 Bytes', '1848030 Bytes', '1789875 Bytes', '1841172 Bytes', '1777410 Bytes', '1832211 Bytes', '1662985 Bytes', '2088034 Bytes', '1758564 Bytes', '1825280 Bytes', '1688251 Bytes', '1895308 Bytes', '1726961 Bytes', '2135241 Bytes', '1759124 Bytes', '2063094 Bytes', '1980053 Bytes', '2139855 Bytes', '1676132 Bytes', '1705603 Bytes', '1575627 Bytes', '1870624 Bytes', '1917677 Bytes', '1661066 Bytes', '1664756 Bytes', '1688736 Bytes', '1559087 Bytes', '1709844 Bytes', '1724656 Bytes', '1764414 Bytes', '1927453 Bytes', '1507047 Bytes', '1723868 Bytes', '1771850 Bytes', '1969027 Bytes', '2044655 Bytes', '1777081 Bytes', '1755779 Bytes', '1802725 Bytes', '1643955 Bytes', '1831076 Bytes', '1574803 Bytes', '1605256 Bytes', '1628938 Bytes', '1722088 Bytes', '1663013 Bytes', '1682981 Bytes', '1497465 Bytes', '1734101 Bytes', '1802239 Bytes', '1601738 Bytes', '1700509 Bytes', '1622049 Bytes', '1521154 Bytes', '1976904 Bytes', '1500306 Bytes', '1611821 Bytes', '1610552 Bytes', '1894607 Bytes', '2114461 Bytes', '2070844 Bytes', '1021747 Bytes', '1794335 Bytes', '1703835 Bytes', '1957877 Bytes', '1549233 Bytes', '1678346 Bytes', '1522916 Bytes', '1613508 Bytes', '1527549 Bytes', '1593591 Bytes', '1472892 Bytes', '1601562 Bytes', '1553229 Bytes', '1524418 Bytes', '1747655 Bytes', '2029867 Bytes', '1714903 Bytes', '1844828 Bytes', '2064842 Bytes', '1731285 Bytes', '1711238 Bytes', '1540871 Bytes', '1897629 Bytes', '1678938 Bytes', '1806780 Bytes', '1173890 Bytes', '1627740 Bytes', '1815535 Bytes', '1543832 Bytes', '1790147 Bytes', '1579108 Bytes', '2043461 Bytes', '1714972 Bytes', '1759387 Bytes', '2041500 Bytes', '2125534 Bytes', '1474889 Bytes', '1760068 Bytes', '1630572 Bytes', '1854527 Bytes', '1437011 Bytes', '1547309 Bytes', '1781046 Bytes', '1769645 Bytes', '1792489 Bytes', '1738345 Bytes', '1677180 Bytes', '2046626 Bytes', '1637266 Bytes', '2088072 Bytes', '1746930 Bytes', '2087927 Bytes', '1661375 Bytes', '1446197 Bytes', '1702290 Bytes', '976902 Bytes', '1960056 Bytes', '1827073 Bytes', '1836037 Bytes', '1746252 Bytes', '1580401 Bytes', '1950579 Bytes', '1616133 Bytes', '1601262 Bytes', '1715225 Bytes', '1893446 Bytes', '1872644 Bytes', '1798686 Bytes', '2075028 Bytes', '1627621 Bytes', '1709548 Bytes', '1722529 Bytes', '1895018 Bytes', '2051436 Bytes', '2331337 Bytes', '2126514 Bytes', '2099493 Bytes', '2118618 Bytes', '2085376 Bytes', '1753091 Bytes', '1699380 Bytes', '2066595 Bytes', '1880827 Bytes', '1739458 Bytes', '2281053 Bytes', '2192294 Bytes', '1776444 Bytes', '1761032 Bytes', '1687024 Bytes', '1693600 Bytes', '1863489 Bytes', '1743857 Bytes', '2149500 Bytes', '2252495 Bytes', '2129518 Bytes', '2194697 Bytes', '2027763 Bytes', '2440103 Bytes', '2021899 Bytes', '2179525 Bytes', '2314393 Bytes', '1802912 Bytes', '1628157 Bytes', '2090121 Bytes', '2198730 Bytes', '1806564 Bytes', '1833244 Bytes', '1976503 Bytes', '2148571 Bytes', '1690199 Bytes', '1924626 Bytes', '2008224 Bytes', '1878743 Bytes', '1710346 Bytes', '2016879 Bytes', '1834974 Bytes', '2112013 Bytes', '1951034 Bytes', '1833315 Bytes', '1664569 Bytes', '1866326 Bytes', '2185677 Bytes', '2085171 Bytes', '1590839 Bytes', '1761774 Bytes', '2079905 Bytes', '2016868 Bytes', '2033769 Bytes', '1979712 Bytes', '2103003 Bytes', '1782611 Bytes', '2040817 Bytes', '1762120 Bytes', '1795570 Bytes', '2184077 Bytes', '2050455 Bytes', '1953665 Bytes', '1626622 Bytes', '2042294 Bytes', '2096432 Bytes', '1827594 Bytes', '1937622 Bytes', '2055231 Bytes', '1913707 Bytes', '1888277 Bytes', '1933865 Bytes', '1732182 Bytes', '1952222 Bytes', '1822250 Bytes', '1681685 Bytes', '2203870 Bytes', '2070931 Bytes', '2212024 Bytes', '1839907 Bytes', '1580446 Bytes', '1698881 Bytes', '1526527 Bytes', '1639603 Bytes', '1573102 Bytes', '1589747 Bytes', '1552761 Bytes', '2066574 Bytes', '2047901 Bytes', '1632714 Bytes', '1556051 Bytes', '1801738 Bytes', '1438779 Bytes', '1864635 Bytes', '1563637 Bytes', '1884698 Bytes', '1941215 Bytes', '1672749 Bytes', '1575780 Bytes', '2025024 Bytes', '2001434 Bytes', '1617762 Bytes', '1741405 Bytes', '1719299 Bytes', '1715410 Bytes', '1594328 Bytes', '1411367 Bytes', '1788390 Bytes', '1770562 Bytes', '1814725 Bytes', '1755213 Bytes', '1858606 Bytes', '1729107 Bytes', '2008239 Bytes', '1488010 Bytes', '1991399 Bytes', '1443415 Bytes', '1850153 Bytes', '1599408 Bytes', '2137303 Bytes', '1826302 Bytes', '1582294 Bytes', '1408842 Bytes', '1765896 Bytes', '1729909 Bytes', '1515194 Bytes', '2016864 Bytes', '2016825 Bytes', '1972837 Bytes', '1861974 Bytes', '1661996 Bytes', '1523572 Bytes', '1830906 Bytes', '1697072 Bytes', '1975833 Bytes', '3125560 Bytes', '3085202 Bytes', '2895008 Bytes', '2892347 Bytes', '3221909 Bytes', '2100853 Bytes', '2646238 Bytes', '2363135 Bytes', '2515024 Bytes', '2869902 Bytes', '2744315 Bytes', '2115508 Bytes', '1870487 Bytes', '1612673 Bytes', '1841513 Bytes', '1699393 Bytes', '1697118 Bytes', '1776058 Bytes', '1876316 Bytes', '1820593 Bytes', '1696869 Bytes', '1712089 Bytes', '1262634 Bytes', '1924340 Bytes', '1572168 Bytes', '1558239 Bytes', '1525185 Bytes', '1555916 Bytes', '1792510 Bytes', '1809032 Bytes', '1729199 Bytes', '2105116 Bytes', '1758920 Bytes', '2091937 Bytes', '2026724 Bytes', '1997545 Bytes', '1592083 Bytes', '2131258 Bytes', '1910829 Bytes', '1694731 Bytes', '2416413 Bytes', '1934205 Bytes', '1705647 Bytes', '1623314 Bytes', '1841426 Bytes', '1504649 Bytes', '1490037 Bytes', '1966668 Bytes', '1905051 Bytes', '2029406 Bytes', '681973 Bytes', '382078 Bytes', '1952470 Bytes', '1732533 Bytes', '1686362 Bytes', '1562653 Bytes', '1656672 Bytes', '2192302 Bytes', '1984140 Bytes', '1531261 Bytes', '2102029 Bytes', '2119806 Bytes', '1686097 Bytes', '1573684 Bytes', '1431988 Bytes', '1535855 Bytes', '1528695 Bytes', '1715044 Bytes', '1447363 Bytes', '1760294 Bytes', '1493862 Bytes', '1571480 Bytes', '1726620 Bytes', '1776059 Bytes', '1527294 Bytes', '1900102 Bytes', '1715476 Bytes', '1991283 Bytes', '1646909 Bytes', '1870411 Bytes', '1780012 Bytes', '1739578 Bytes', '1834596 Bytes', '1847464 Bytes', '1618557 Bytes', '1685656 Bytes', '1699231 Bytes', '1581885 Bytes', '1743086 Bytes', '2013783 Bytes', '1586986 Bytes', '1732037 Bytes', '1664762 Bytes', '2054210 Bytes', '1815538 Bytes', '1629428 Bytes', '1762578 Bytes', '2046199 Bytes', '2036641 Bytes', '1763100 Bytes', '2053864 Bytes', '1727638 Bytes', '1868199 Bytes', '1971112 Bytes', '1600558 Bytes', '2159634 Bytes', '2150797 Bytes', '2117772 Bytes', '1827661 Bytes', '1740110 Bytes', '2005835 Bytes', '1736410 Bytes', '1885368 Bytes', '1704013 Bytes', '1541971 Bytes', '1824347 Bytes', '2013493 Bytes', '1933163 Bytes', '1926061 Bytes', '1941556 Bytes', '1839237 Bytes', '1821007 Bytes', '2004594 Bytes', '1842571 Bytes', '2451681 Bytes', '2129561 Bytes', '1986310 Bytes', '1849867 Bytes', '2247863 Bytes', '1798126 Bytes', '1879345 Bytes', '2054432 Bytes', '1756620 Bytes', '2161360 Bytes', '2014631 Bytes', '1959917 Bytes', '1586235 Bytes', '1836284 Bytes', '2162541 Bytes', '2004892 Bytes', '1638590 Bytes', '1747337 Bytes', '1657686 Bytes', '1876017 Bytes', '2024747 Bytes', '2201657 Bytes', '1838466 Bytes', '1611609 Bytes', '1951722 Bytes', '2054629 Bytes', '1817804 Bytes', '1867395 Bytes', '1991361 Bytes', '1870016 Bytes', '1923355 Bytes', '1828749 Bytes', '1896127 Bytes', '1891161 Bytes', '1751642 Bytes', '2107863 Bytes', '1915835 Bytes', '1599067 Bytes', '1849512 Bytes', '1919067 Bytes', '1980913 Bytes', '2035092 Bytes', '2205667 Bytes', '1939124 Bytes', '1662455 Bytes', '1982641 Bytes', '2389708 Bytes', '1946483 Bytes', '1613085 Bytes', '1836984 Bytes', '2173365 Bytes', '1900846 Bytes', '1900075 Bytes', '1839007 Bytes', '1492009 Bytes', '1892468 Bytes', '1786029 Bytes', '1683248 Bytes', '1721430 Bytes', '2029909 Bytes', '2387156 Bytes', '1491331 Bytes', '2088929 Bytes', '1478358 Bytes', '1946702 Bytes', '1903983 Bytes', '1925672 Bytes', '1499939 Bytes', '1519125 Bytes', '1816264 Bytes', '1622847 Bytes', '1659561 Bytes', '1621029 Bytes', '2062708 Bytes', '1502081 Bytes', '1836767 Bytes', '1715280 Bytes', '1606123 Bytes', '1473048 Bytes', '2071173 Bytes', '1853737 Bytes', '1912101 Bytes', '2201690 Bytes', '1578699 Bytes', '2019695 Bytes', '1693021 Bytes', '2116934 Bytes', '1594179 Bytes', '1327646 Bytes', '1249908 Bytes', '1293649 Bytes', '1030360 Bytes', '1238549 Bytes', '1028833 Bytes', '1171974 Bytes', '1053795 Bytes', '1115343 Bytes', '1251617 Bytes', '1060086 Bytes', '1173681 Bytes', '1146448 Bytes', '1144210 Bytes', '1073385 Bytes', '1275064 Bytes', '1302821 Bytes', '1240983 Bytes', '1386290 Bytes', '1537519 Bytes', '1020294 Bytes', '1585774 Bytes', '1345125 Bytes', '1132322 Bytes', '1049230 Bytes', '1414832 Bytes', '1220863 Bytes', '1004496 Bytes', '1406718 Bytes', '1052547 Bytes', '1726837 Bytes', '1606761 Bytes', '1539854 Bytes', '1706071 Bytes', '1593572 Bytes', '2505156 Bytes', '1978982 Bytes', '1867467 Bytes', '1382159 Bytes', '1621699 Bytes', '1166911 Bytes', '1629582 Bytes', '1572715 Bytes', '1480141 Bytes', '1283602 Bytes', '1190476 Bytes', '1256715 Bytes', '1302102 Bytes', '1071770 Bytes', '1253452 Bytes', '1086879 Bytes', '1165558 Bytes', '1597822 Bytes', '1017803 Bytes', '1011656 Bytes', '1517654 Bytes', '1393052 Bytes', '1306654 Bytes', '1195504 Bytes', '1062981 Bytes', '1047098 Bytes', '1047041 Bytes', '1301155 Bytes', '1183511 Bytes', '1395150 Bytes', '1434858 Bytes', '1019918 Bytes', '1005020 Bytes', '1088176 Bytes', '1114292 Bytes', '1380463 Bytes', '1074184 Bytes', '1042809 Bytes', '1102996 Bytes', '1161161 Bytes', '1110261 Bytes', '1036279 Bytes', '1025304 Bytes', '1317626 Bytes', '1732431 Bytes', '1447886 Bytes', '1339309 Bytes', '1655934 Bytes', '1818990 Bytes', '1164239 Bytes', '1538785 Bytes', '1145565 Bytes', '1401702 Bytes', '1044823 Bytes', '1103903 Bytes', '1191771 Bytes', '1231248 Bytes', '922428 Bytes', '1014163 Bytes', '1223236 Bytes', '1345489 Bytes', '1511906 Bytes', '1277748 Bytes', '1152352 Bytes', '1392757 Bytes', '1472190 Bytes', '1221314 Bytes', '962039 Bytes', '1080147 Bytes', '1171505 Bytes', '1063148 Bytes', '1468956 Bytes', '1643700 Bytes', '1471242 Bytes', '1180890 Bytes', '1122160 Bytes', '1533903 Bytes', '1214791 Bytes', '1270105 Bytes', '1482849 Bytes', '1256130 Bytes', '1286401 Bytes', '1374215 Bytes', '1392387 Bytes', '1175160 Bytes', '1431047 Bytes', '1482706 Bytes', '1148813 Bytes', '1397407 Bytes', '1575569 Bytes', '1083983 Bytes', '1395852 Bytes', '1430139 Bytes', '1387949 Bytes', '1379720 Bytes', '1059206 Bytes', '1217163 Bytes', '1257352 Bytes', '1084111 Bytes', '1193276 Bytes', '1079489 Bytes', '1568435 Bytes', '1713862 Bytes', '1008842 Bytes', '1475227 Bytes', '1453712 Bytes', '1140057 Bytes', '1432008 Bytes', '1285372 Bytes', '1653506 Bytes', '1130473 Bytes', '1127118 Bytes', '1030087 Bytes', '1665977 Bytes', '1820166 Bytes', '1564376 Bytes', '1580413 Bytes', '1608357 Bytes', '1472321 Bytes', '1229037 Bytes', '1193268 Bytes', '1213923 Bytes', '1545127 Bytes', '1456061 Bytes', '1468608 Bytes', '1470090 Bytes', '1253685 Bytes', '1672554 Bytes', '1218213 Bytes', '1090125 Bytes', '1583306 Bytes', '1591922 Bytes', '1433694 Bytes', '1480368 Bytes', '1375529 Bytes', '1491659 Bytes', '1161317 Bytes', '1191376 Bytes', '1318030 Bytes', '1336596 Bytes', '1119405 Bytes', '1386836 Bytes', '1329339 Bytes', '1132372 Bytes', '1223525 Bytes', '953076 Bytes', '1254825 Bytes', '972621 Bytes', '1264793 Bytes', '1135097 Bytes', '1227192 Bytes', '1296706 Bytes', '1601819 Bytes', '1800675 Bytes', '1432307 Bytes', '1406266 Bytes', '1173540 Bytes', '1415931 Bytes', '1567375 Bytes', '1241617 Bytes', '1225827 Bytes', '1687241 Bytes', '1248728 Bytes', '1094298 Bytes', '1119367 Bytes', '1475790 Bytes', '1075897 Bytes', '1133577 Bytes', '1268069 Bytes', '1139110 Bytes', '1295656 Bytes', '1371951 Bytes', '1376546 Bytes', '1564577 Bytes', '1318116 Bytes', '1408495 Bytes', '1120908 Bytes', '1195368 Bytes', '1103299 Bytes', '1212074 Bytes', '1449997 Bytes', '1598569 Bytes', '1697011 Bytes', '1412556 Bytes', '1470842 Bytes', '1020112 Bytes', '1753468 Bytes', '1443055 Bytes', '1509285 Bytes', '1761535 Bytes', '1111595 Bytes', '1065503 Bytes', '1056480 Bytes', '1205226 Bytes', '1369702 Bytes', '1098901 Bytes', '1359746 Bytes', '1576546 Bytes', '1050952 Bytes', '1448909 Bytes', '1556820 Bytes', '1904514 Bytes', '1524327 Bytes', '1709706 Bytes', '1710823 Bytes', '1389532 Bytes', '1454569 Bytes', '1301412 Bytes', '1454766 Bytes', '1354924 Bytes', '1166240 Bytes', '1176360 Bytes', '1473685 Bytes', '1026682 Bytes', '1183647 Bytes', '1109640 Bytes', '1705167 Bytes', '1233539 Bytes', '1090679 Bytes', '1020092 Bytes', '1092763 Bytes', '1222935 Bytes', '1567068 Bytes', '1484333 Bytes', '1463160 Bytes', '1268116 Bytes', '1411822 Bytes', '1370655 Bytes', '1404055 Bytes', '1528046 Bytes', '1131547 Bytes', '1423719 Bytes', '1293818 Bytes', '1323340 Bytes', '1407156 Bytes', '1566226 Bytes', '1470789 Bytes', '1334265 Bytes', '1078859 Bytes', '1818953 Bytes', '1285791 Bytes', '1508102 Bytes', '1491082 Bytes', '1507563 Bytes', '1327297 Bytes', '1195901 Bytes', '1309626 Bytes', '1197169 Bytes', '1319836 Bytes', '1154687 Bytes', '1383038 Bytes', '1399347 Bytes', '1330807 Bytes', '1208520 Bytes', '1394352 Bytes', '1001275 Bytes', '1042124 Bytes', '1263225 Bytes', '1312877 Bytes', '503496 Bytes', '1234793 Bytes', '1673963 Bytes', '1405527 Bytes', '1561180 Bytes', '1261700 Bytes', '1038337 Bytes', '1151236 Bytes', '1105972 Bytes', '1079842 Bytes', '1297930 Bytes', '1098665 Bytes', '1422914 Bytes', '1242673 Bytes', '1330430 Bytes', '1399413 Bytes', '1905214 Bytes', '1389330 Bytes', '1317979 Bytes', '1495938 Bytes', '1418387 Bytes', '1561426 Bytes', '1452592 Bytes', '1403860 Bytes', '1488124 Bytes', '1192090 Bytes', '1132954 Bytes', '1096955 Bytes', '1570771 Bytes', '1092859 Bytes', '1458201 Bytes', '1666236 Bytes', '1289075 Bytes', '1206562 Bytes', '1118472 Bytes', '1224533 Bytes', '1370824 Bytes', '1229474 Bytes', '1137372 Bytes', '1530311 Bytes', '1179135 Bytes', '1229588 Bytes', '1152394 Bytes', '1131868 Bytes', '1092710 Bytes', '1121233 Bytes', '1219742 Bytes', '1431038 Bytes', '1231820 Bytes', '1332637 Bytes', '1043507 Bytes', '1080571 Bytes', '1427944 Bytes', '1164916 Bytes', '1112420 Bytes', '1115047 Bytes', '1184421 Bytes', '1284581 Bytes', '1364948 Bytes', '1472107 Bytes', '1521743 Bytes', '1593927 Bytes', '1497326 Bytes', '1356916 Bytes', '1436076 Bytes', '1058507 Bytes', '1537923 Bytes', '1477250 Bytes', '1400135 Bytes', '1463521 Bytes', '1432741 Bytes', '1541826 Bytes', '1735314 Bytes', '1298722 Bytes', '1390200 Bytes', '1402110 Bytes', '1180567 Bytes', '1550898 Bytes', '1466190 Bytes', '1442342 Bytes', '1139893 Bytes', '1332900 Bytes', '969318 Bytes', '1207475 Bytes', '1293302 Bytes', '1161357 Bytes', '1192843 Bytes', '1272523 Bytes', '1179222 Bytes', '1176928 Bytes', '1385108 Bytes', '1140842 Bytes', '1122202 Bytes', '1267938 Bytes', '1015967 Bytes', '1397182 Bytes', '1181378 Bytes', '1578903 Bytes', '1015173 Bytes', '1429557 Bytes', '1554003 Bytes', '1413205 Bytes', '1674927 Bytes', '1376894 Bytes', '1819028 Bytes', '1571827 Bytes', '1183086 Bytes', '1300717 Bytes', '1371771 Bytes', '1105754 Bytes', '1195216 Bytes', '1580798 Bytes', '1517637 Bytes', '1160034 Bytes', '1326416 Bytes', '1640463 Bytes', '1451033 Bytes', '1934640 Bytes', '1597070 Bytes', '1121697 Bytes', '1113604 Bytes', '1220704 Bytes', '1228251 Bytes', '1251599 Bytes', '1481499 Bytes', '1182060 Bytes', '1342331 Bytes', '1165019 Bytes', '1113023 Bytes', '1114779 Bytes', '1007324 Bytes', '1295818 Bytes', '916298 Bytes', '535347 Bytes', '530088 Bytes', '1056450 Bytes', '970804 Bytes', '1318062 Bytes', '1329961 Bytes', '1193468 Bytes', '1190634 Bytes', '1103297 Bytes', '1208685 Bytes', '1278305 Bytes', '1261196 Bytes', '1207766 Bytes', '1483261 Bytes', '1507307 Bytes', '1198630 Bytes', '1037734 Bytes', '1135562 Bytes', '1410485 Bytes', '1275551 Bytes', '1014551 Bytes', '1129178 Bytes', '1404079 Bytes', '1269125 Bytes', '1097930 Bytes', '1131256 Bytes', '1004280 Bytes', '1406104 Bytes', '1140340 Bytes', '1215680 Bytes', '1086279 Bytes', '1080466 Bytes', '1137972 Bytes', '1402316 Bytes', '1017855 Bytes', '1073028 Bytes', '1383122 Bytes', '1446286 Bytes', '1672618 Bytes', '1687324 Bytes', '1289565 Bytes', '1535984 Bytes', '1302081 Bytes', '1221172 Bytes', '1157247 Bytes', '1446731 Bytes', '1224484 Bytes', '1301446 Bytes', '1432391 Bytes', '1440310 Bytes', '1595141 Bytes', '1437310 Bytes', '1143892 Bytes', '1260715 Bytes', '1253738 Bytes', '1468352 Bytes', '1418113 Bytes', '2805052 Bytes', '2538817 Bytes', '2718738 Bytes', '2721176 Bytes', '2711180 Bytes', '2588229 Bytes', '2446541 Bytes', '2869245 Bytes', '2912578 Bytes', '2962126 Bytes', '2750849 Bytes', '2677189 Bytes', '2626471 Bytes', '3169847 Bytes', '2719093 Bytes', '2650212 Bytes', '2607494 Bytes', '2731540 Bytes', '2564968 Bytes', '2634723 Bytes', '2775495 Bytes', '2975426 Bytes', '2875638 Bytes', '2541412 Bytes', '2511056 Bytes', '3121340 Bytes', '3088115 Bytes', '2605023 Bytes', '2816897 Bytes', '2602092 Bytes', '3014658 Bytes', '3031034 Bytes', '2780240 Bytes', '3001306 Bytes', '2966599 Bytes', '2612497 Bytes', '2630569 Bytes', '2610493 Bytes', '2611524 Bytes', '2606725 Bytes', '2681016 Bytes', '2453377 Bytes', '2713542 Bytes', '2634541 Bytes', '2625192 Bytes', '3253832 Bytes', '2981181 Bytes', '2831843 Bytes', '2720321 Bytes', '2801076 Bytes', '2768865 Bytes', '2725552 Bytes', '2708977 Bytes', '2986861 Bytes', '2559948 Bytes', '2989000 Bytes', '2726479 Bytes', '2584025 Bytes', '2775579 Bytes', '2759588 Bytes', '3175764 Bytes', '2434412 Bytes', '2799647 Bytes', '2613367 Bytes', '2850218 Bytes', '2503168 Bytes', '2462009 Bytes', '2772398 Bytes', '2953844 Bytes', '2856554 Bytes', '2950840 Bytes', '2781750 Bytes', '2932272 Bytes', '2979137 Bytes', '2836253 Bytes', '2705438 Bytes', '2452353 Bytes', '2787467 Bytes', '2492712 Bytes', '2546799 Bytes', '2717887 Bytes', '2497617 Bytes', '2955338 Bytes', '2990703 Bytes', '2654572 Bytes', '2736051 Bytes', '2921106 Bytes', '2664178 Bytes', '2417547 Bytes', '2869821 Bytes', '2588268 Bytes', '2637976 Bytes', '2567736 Bytes', '2775295 Bytes', '2674575 Bytes', '2583895 Bytes', '2603107 Bytes', '2902833 Bytes', '2922572 Bytes', '2525835 Bytes', '2716912 Bytes', '2675806 Bytes', '2842816 Bytes', '2602605 Bytes', '2629958 Bytes', '2703569 Bytes', '2730110 Bytes', '2426943 Bytes', '2592442 Bytes', '2685789 Bytes', '2751159 Bytes', '2970780 Bytes', '2610255 Bytes', '2539535 Bytes', '2580598 Bytes', '2607270 Bytes', '2733107 Bytes', '2631179 Bytes', '2589775 Bytes', '2849330 Bytes', '2614054 Bytes', '2887029 Bytes', '2687443 Bytes', '2773964 Bytes', '2621486 Bytes', '2755103 Bytes', '2421430 Bytes', '2387056 Bytes', '2691476 Bytes', '2600870 Bytes', '2460752 Bytes', '2371283 Bytes', '2660800 Bytes', '2788816 Bytes', '2548841 Bytes', '2441949 Bytes', '2644707 Bytes', '2658611 Bytes', '2658538 Bytes', '2972628 Bytes', '2535822 Bytes', '2785933 Bytes', '2808645 Bytes', '2798068 Bytes', '2737163 Bytes', '2590913 Bytes', '2515295 Bytes', '2543171 Bytes', '2707723 Bytes', '2717392 Bytes', '2756127 Bytes', '2456269 Bytes', '2757051 Bytes', '2708772 Bytes', '2745731 Bytes', '2589453 Bytes', '2558592 Bytes', '2620198 Bytes', '2515547 Bytes', '2702406 Bytes', '2777940 Bytes', '2640664 Bytes', '2761493 Bytes', '2637813 Bytes', '2703403 Bytes', '2449958 Bytes', '2718916 Bytes', '2851091 Bytes', '2816960 Bytes', '2460249 Bytes', '2923678 Bytes', '2852850 Bytes', '2829658 Bytes', '2445762 Bytes', '2395321 Bytes', '2951999 Bytes', '2581819 Bytes', '2643161 Bytes', '2592827 Bytes', '2684380 Bytes', '2527410 Bytes', '2593300 Bytes', '2738597 Bytes', '2754976 Bytes', '2659569 Bytes', '2738294 Bytes', '2696005 Bytes', '2734023 Bytes', '2812650 Bytes', '2586873 Bytes', '2762385 Bytes', '2581594 Bytes', '2610706 Bytes', '2882784 Bytes', '2586512 Bytes', '2746325 Bytes', '2528155 Bytes', '2498341 Bytes', '2484423 Bytes', '2962313 Bytes', '2579944 Bytes', '2636608 Bytes', '2667947 Bytes', '2581690 Bytes', '2485311 Bytes', '2701522 Bytes', '2735536 Bytes', '2820172 Bytes', '2808391 Bytes', '2451365 Bytes', '2945901 Bytes', '2515369 Bytes', '2588931 Bytes', '2780658 Bytes', '2486136 Bytes', '2514827 Bytes', '2571651 Bytes', '2501637 Bytes', '2478317 Bytes', '2595035 Bytes', '2373079 Bytes', '2393248 Bytes', '2631896 Bytes', '2467321 Bytes', '2546077 Bytes', '2768202 Bytes', '2444301 Bytes', '2483351 Bytes', '2395838 Bytes', '2572644 Bytes', '2635153 Bytes', '2405012 Bytes', '2383766 Bytes', '2756968 Bytes', '2936854 Bytes', '2682028 Bytes', '2651122 Bytes', '2464676 Bytes', '2569441 Bytes', '2620070 Bytes', '2612335 Bytes', '2670334 Bytes', '3186086 Bytes', '3348548 Bytes', '3339399 Bytes', '2683402 Bytes', '2698316 Bytes', '2696870 Bytes', '2678497 Bytes', '2916001 Bytes', '2491271 Bytes', '2505190 Bytes', '2424830 Bytes', '2600316 Bytes', '2426631 Bytes', '2682563 Bytes', '2514053 Bytes', '2519780 Bytes', '2674698 Bytes', '2622153 Bytes', '2586410 Bytes', '2689017 Bytes', '2585696 Bytes', '2598073 Bytes', '2758742 Bytes', '2583577 Bytes', '2609807 Bytes', '2532506 Bytes', '2558555 Bytes', '2646103 Bytes', '2762782 Bytes', '2558615 Bytes', '2623530 Bytes', '2536780 Bytes', '2647967 Bytes', '2515102 Bytes', '2595339 Bytes', '2488089 Bytes', '2625234 Bytes', '2561152 Bytes', '2749246 Bytes', '2441201 Bytes', '2837357 Bytes', '2489640 Bytes', '2701520 Bytes', '2696763 Bytes', '2473350 Bytes', '2450865 Bytes', '2668654 Bytes', '2679760 Bytes', '2705201 Bytes', '2537435 Bytes', '2492535 Bytes', '2516262 Bytes', '2527639 Bytes', '2770602 Bytes', '2640890 Bytes', '2450271 Bytes', '2508388 Bytes', '2533687 Bytes', '2467644 Bytes', '2617191 Bytes', '2817534 Bytes', '2449137 Bytes', '2620601 Bytes', '2714090 Bytes', '2724924 Bytes', '2764645 Bytes', '2822120 Bytes', '2578900 Bytes', '2767872 Bytes', '2554025 Bytes', '2552775 Bytes', '2669528 Bytes', '2742974 Bytes', '2602985 Bytes', '2549398 Bytes', '2545093 Bytes', '2593404 Bytes', '2552074 Bytes', '2576583 Bytes', '2600382 Bytes', '2572707 Bytes', '2561068 Bytes', '2676489 Bytes', '2642117 Bytes', '2591588 Bytes', '2680159 Bytes', '2499034 Bytes', '2586481 Bytes', '2682304 Bytes', '2810175 Bytes', '2646033 Bytes', '2608938 Bytes', '2653087 Bytes', '2831487 Bytes', '2373466 Bytes', '2620422 Bytes', '2607258 Bytes', '2644266 Bytes', '2714689 Bytes', '2700460 Bytes', '2507121 Bytes', '2758350 Bytes', '2752108 Bytes', '2600062 Bytes', '2528479 Bytes', '2914819 Bytes', '2847219 Bytes', '2549637 Bytes', '2544014 Bytes', '2502909 Bytes', '2637219 Bytes', '2632286 Bytes', '2492947 Bytes', '2729874 Bytes', '2581005 Bytes', '2711226 Bytes', '2665985 Bytes', '2539300 Bytes', '2415689 Bytes', '2499477 Bytes', '2805610 Bytes', '2641863 Bytes', '2685073 Bytes', '2749731 Bytes', '2623599 Bytes', '2656527 Bytes', '2734612 Bytes', '2464525 Bytes', '2834934 Bytes', '2698853 Bytes', '2543818 Bytes', '2622461 Bytes', '2425647 Bytes', '2442746 Bytes', '2459962 Bytes', '2650686 Bytes', '2630062 Bytes', '2632078 Bytes', '2683712 Bytes', '2652282 Bytes', '2844642 Bytes', '2580494 Bytes', '2812337 Bytes', '2721134 Bytes', '2662502 Bytes', '3080071 Bytes', '2622756 Bytes', '2656095 Bytes', '2793056 Bytes', '2582074 Bytes', '2633070 Bytes', '2635778 Bytes', '2690154 Bytes', '2910419 Bytes', '2691029 Bytes', '2440181 Bytes', '2835796 Bytes', '2909551 Bytes', '2755645 Bytes', '2667826 Bytes', '2683634 Bytes', '2622070 Bytes', '2770946 Bytes', '2383770 Bytes', '2631926 Bytes', '2655362 Bytes', '2833991 Bytes', '2785892 Bytes', '2634254 Bytes', '2589384 Bytes', '2599140 Bytes', '2492696 Bytes', '2509480 Bytes', '2503103 Bytes', '2535554 Bytes', '2863528 Bytes', '2530774 Bytes', '2769773 Bytes', '2579778 Bytes', '2847113 Bytes', '2639682 Bytes', '2919900 Bytes', '2576672 Bytes', '2622207 Bytes', '2639125 Bytes', '2654375 Bytes', '2718034 Bytes', '3145265 Bytes', '2631278 Bytes', '2564563 Bytes', '2588752 Bytes', '2932705 Bytes', '2662489 Bytes', '2628450 Bytes', '2541037 Bytes', '2708489 Bytes', '2939728 Bytes', '2694713 Bytes', '2424627 Bytes', '2454343 Bytes', '2574850 Bytes', '2564554 Bytes', '3035739 Bytes', '2837971 Bytes', '2558366 Bytes', '2501252 Bytes', '2504030 Bytes', '2692977 Bytes', '2819167 Bytes', '2620651 Bytes', '2906034 Bytes', '2677734 Bytes', '2489206 Bytes', '2834125 Bytes', '2526841 Bytes', '2471041 Bytes', '2611950 Bytes', '2703429 Bytes', '2782746 Bytes', '2657699 Bytes', '2697085 Bytes', '2711260 Bytes', '2545299 Bytes', '2542195 Bytes', '2658718 Bytes', '2789393 Bytes', '2504694 Bytes', '2664577 Bytes', '2755839 Bytes', '2811303 Bytes', '2955213 Bytes', '2605334 Bytes', '2574914 Bytes', '2833226 Bytes', '2510194 Bytes', '2593031 Bytes', '2843633 Bytes', '2871636 Bytes', '2489537 Bytes', '2563445 Bytes', '2494629 Bytes', '2717684 Bytes', '2975288 Bytes', '2508127 Bytes', '2530365 Bytes', '2443985 Bytes', '2888286 Bytes', '2489045 Bytes', '2536125 Bytes', '2436992 Bytes', '2613138 Bytes', '2459472 Bytes', '2553235 Bytes', '2527662 Bytes', '2430570 Bytes', '2921708 Bytes', '2826366 Bytes', '3032231 Bytes', '3015348 Bytes', '2911062 Bytes', '2665849 Bytes', '2549586 Bytes', '2754448 Bytes', '2600024 Bytes', '2900525 Bytes', '2583275 Bytes', '2741637 Bytes', '2836875 Bytes', '2890580 Bytes', '3101977 Bytes', '2987647 Bytes', '2590328 Bytes', '2538126 Bytes', '2761057 Bytes', '2990933 Bytes', '2675932 Bytes', '2940298 Bytes', '3032093 Bytes', '2876847 Bytes', '2663918 Bytes', '2949053 Bytes', '2733648 Bytes', '2629650 Bytes', '2673694 Bytes', '2772991 Bytes', '2875062 Bytes', '2893654 Bytes', '2927552 Bytes', '2874495 Bytes', '2775042 Bytes', '3212947 Bytes', '2760885 Bytes', '3068395 Bytes', '2985322 Bytes', '3269218 Bytes', '2713499 Bytes', '2678763 Bytes', '2450371 Bytes', '2884576 Bytes', '2539176 Bytes', '2997377 Bytes', '3119597 Bytes', '2603005 Bytes', '2462695 Bytes', '2960818 Bytes', '2462170 Bytes', '2791215 Bytes', '2770194 Bytes', '2685803 Bytes', '3153311 Bytes', '2671365 Bytes', '2964545 Bytes', '2673480 Bytes', '2597876 Bytes', '2532957 Bytes', '2531298 Bytes', '2647304 Bytes', '3299785 Bytes', '2743868 Bytes', '2976017 Bytes', '2628686 Bytes', '2932961 Bytes', '2533383 Bytes', '2495382 Bytes', '2623743 Bytes', '2788843 Bytes', '2839505 Bytes', '2685565 Bytes', '2847978 Bytes', '2645771 Bytes', '2675237 Bytes', '2687029 Bytes', '2659416 Bytes', '2696440 Bytes', '2510607 Bytes', '2964712 Bytes', '2746728 Bytes', '2865632 Bytes', '2872111 Bytes', '2594869 Bytes', '2630218 Bytes', '2694207 Bytes', '2634032 Bytes', '2523977 Bytes', '2960003 Bytes', '2541976 Bytes', '1309402 Bytes', '1397046 Bytes', '1277137 Bytes', '1148418 Bytes', '1208381 Bytes', '1261843 Bytes', '1303741 Bytes', '1300214 Bytes', '904709 Bytes', '1371447 Bytes', '1255998 Bytes', '1478937 Bytes', '1266158 Bytes', '1260959 Bytes', '1520933 Bytes', '903554 Bytes', '1508839 Bytes', '1511108 Bytes', '1442555 Bytes', '1502241 Bytes', '1286243 Bytes', '1418422 Bytes', '1308865 Bytes', '1304823 Bytes', '1212531 Bytes', '1468711 Bytes', '907118 Bytes', '1278013 Bytes', '1299247 Bytes', '1219461 Bytes', '1371833 Bytes', '1350438 Bytes', '1577060 Bytes', '1416742 Bytes', '1728137 Bytes', '1485651 Bytes', '1420553 Bytes', '1268323 Bytes', '1558773 Bytes', '1370585 Bytes', '1431196 Bytes', '1353627 Bytes', '1369229 Bytes', '1343998 Bytes', '1281076 Bytes', '1331342 Bytes', '1323612 Bytes', '1500176 Bytes', '1439014 Bytes', '1487237 Bytes', '1718209 Bytes', '1635966 Bytes', '1290244 Bytes', '1528533 Bytes', '1327815 Bytes', '1435240 Bytes', '1600738 Bytes', '1354811 Bytes', '1326361 Bytes', '1373562 Bytes', '1279708 Bytes', '1396840 Bytes', '1331405 Bytes', '1489220 Bytes', '1529953 Bytes', '1404356 Bytes', '1275882 Bytes', '1490418 Bytes', '1664912 Bytes', '1441919 Bytes', '1302509 Bytes', '1424178 Bytes', '1290639 Bytes', '1344491 Bytes', '1511300 Bytes', '1293873 Bytes', '1246205 Bytes', '1468818 Bytes', '1329872 Bytes', '849624 Bytes', '1364565 Bytes', '1263704 Bytes', '1300811 Bytes', '1323679 Bytes', '1231534 Bytes', '1281809 Bytes', '1303689 Bytes', '1248063 Bytes', '867727 Bytes', '1125437 Bytes', '1335795 Bytes', '921961 Bytes', '1043574 Bytes', '1123266 Bytes', '1348224 Bytes', '874082 Bytes', '844115 Bytes', '842327 Bytes', '1032833 Bytes', '1081495 Bytes', '1269013 Bytes', '1071522 Bytes', '526993 Bytes', '450221 Bytes', '961277 Bytes', '1091512 Bytes', '1312710 Bytes', '1351228 Bytes', '1359951 Bytes', '1082578 Bytes', '1200320 Bytes', '1296469 Bytes', '1301956 Bytes', '1300319 Bytes', '1272103 Bytes', '896713 Bytes', '1261780 Bytes', '928341 Bytes', '1200135 Bytes', '1147959 Bytes', '971284 Bytes', '930025 Bytes', '1166140 Bytes', '1126129 Bytes', '1186727 Bytes', '1076533 Bytes', '1092697 Bytes', '972475 Bytes', '894468 Bytes', '935594 Bytes', '1273356 Bytes', '1398731 Bytes', '1384958 Bytes', '1353586 Bytes', '1314461 Bytes', '1408040 Bytes', '1553682 Bytes', '1397980 Bytes', '1287515 Bytes', '1442245 Bytes', '1417894 Bytes', '1493869 Bytes', '1364812 Bytes', '1319035 Bytes', '1309768 Bytes', '1162903 Bytes', '1235775 Bytes', '1133102 Bytes', '941052 Bytes', '1106709 Bytes', '987714 Bytes', '889958 Bytes', '1055517 Bytes', '938385 Bytes', '1010360 Bytes', '935931 Bytes', '1042921 Bytes', '1103159 Bytes', '1086637 Bytes', '882423 Bytes', '948265 Bytes', '1048500 Bytes', '872022 Bytes', '1118028 Bytes', '1090533 Bytes', '1214739 Bytes', '1310226 Bytes', '1035959 Bytes', '929168 Bytes', '1215080 Bytes', '1164468 Bytes', '1188333 Bytes', '1116934 Bytes', '1061550 Bytes', '989079 Bytes', '902622 Bytes', '887494 Bytes', '882373 Bytes', '1116301 Bytes', '942528 Bytes', '1275031 Bytes', '497449 Bytes', '1196181 Bytes', '905752 Bytes', '910194 Bytes', '939872 Bytes', '1115951 Bytes', '837638 Bytes', '937392 Bytes', '1258943 Bytes', '1345345 Bytes', '980776 Bytes', '1210110 Bytes', '1199185 Bytes', '947611 Bytes', '987811 Bytes', '1055418 Bytes', '931582 Bytes', '943925 Bytes', '1194849 Bytes', '1577554 Bytes', '1334085 Bytes', '1276833 Bytes', '1359111 Bytes', '1272477 Bytes', '1017166 Bytes', '1215072 Bytes', '1215513 Bytes', '1242076 Bytes', '1388185 Bytes', '1357961 Bytes', '1263381 Bytes', '1314988 Bytes', '1214378 Bytes', '1173316 Bytes', '1330105 Bytes', '952797 Bytes', '1335490 Bytes', '1275836 Bytes', '1236031 Bytes', '1162391 Bytes', '1160624 Bytes', '1181550 Bytes', '1158795 Bytes', '1144627 Bytes', '1155867 Bytes', '1160416 Bytes', '1178197 Bytes', '1190934 Bytes', '1131194 Bytes', '1189805 Bytes', '1231437 Bytes', '1377025 Bytes', '1098496 Bytes', '1112366 Bytes', '1397233 Bytes', '1303486 Bytes', '1427961 Bytes', '1424572 Bytes', '1361284 Bytes', '1416960 Bytes', '1585059 Bytes', '1129222 Bytes', '1373109 Bytes', '1354757 Bytes', '1154659 Bytes', '1307080 Bytes', '1300137 Bytes', '1193109 Bytes', '1139579 Bytes', '1286724 Bytes', '1461767 Bytes', '1247701 Bytes', '1231476 Bytes', '1449369 Bytes', '1499068 Bytes', '1404180 Bytes', '1156453 Bytes', '1151212 Bytes', '1416264 Bytes', '1173708 Bytes', '1166889 Bytes', '1128558 Bytes', '1194222 Bytes', '1211912 Bytes', '1211778 Bytes', '1340019 Bytes', '1342307 Bytes', '1189100 Bytes', '1200181 Bytes', '1266817 Bytes', '1222728 Bytes', '1379301 Bytes', '1315169 Bytes', '1078532 Bytes', '1083980 Bytes', '1153531 Bytes', '1159972 Bytes', '1104981 Bytes', '1275454 Bytes', '1255275 Bytes', '1276800 Bytes', '1190769 Bytes', '1120859 Bytes', '1191091 Bytes', '1157678 Bytes', '1204229 Bytes', '1162613 Bytes', '1184743 Bytes', '1188880 Bytes', '1190866 Bytes', '1141220 Bytes', '1357748 Bytes', '1333857 Bytes', '1152843 Bytes', '1261255 Bytes', '1305875 Bytes', '1297548 Bytes', '1316205 Bytes', '1292587 Bytes', '1313309 Bytes', '1253483 Bytes', '1165264 Bytes', '1474882 Bytes', '1344475 Bytes', '1325559 Bytes', '1358102 Bytes', '1295319 Bytes', '1412759 Bytes', '1306127 Bytes', '1338045 Bytes', '940205 Bytes', '1614798 Bytes', '1510077 Bytes', '1558187 Bytes', '1588758 Bytes', '1403888 Bytes', '1309911 Bytes', '1421081 Bytes', '1366779 Bytes', '1326066 Bytes', '1372467 Bytes', '1165272 Bytes', '1055133 Bytes', '1308238 Bytes', '1291259 Bytes', '1352089 Bytes', '1309415 Bytes', '1429467 Bytes', '1421183 Bytes', '977020 Bytes', '1210953 Bytes', '1107839 Bytes', '1233909 Bytes', '1519973 Bytes', '1136980 Bytes', '1257895 Bytes', '1590279 Bytes', '1404131 Bytes', '1410230 Bytes', '1342897 Bytes', '1411403 Bytes', '1391949 Bytes', '1324860 Bytes', '1288963 Bytes', '1406571 Bytes', '1400854 Bytes', '1522172 Bytes', '1297458 Bytes', '1457085 Bytes', '1391285 Bytes', '1427247 Bytes', '1419509 Bytes', '1393763 Bytes', '1397863 Bytes', '1403486 Bytes', '1349588 Bytes', '1414137 Bytes', '1141842 Bytes', '1319310 Bytes', '1362326 Bytes', '1419027 Bytes', '1312853 Bytes', '1383389 Bytes', '1376499 Bytes', '1343409 Bytes', '1132377 Bytes', '1081784 Bytes', '1114577 Bytes', '1044331 Bytes', '1106502 Bytes', '900339 Bytes', '856489 Bytes', '974421 Bytes', '1174273 Bytes', '999535 Bytes', '875229 Bytes', '1230236 Bytes', '1013643 Bytes', '1042080 Bytes', '1154603 Bytes', '1154420 Bytes', '1099204 Bytes', '1057071 Bytes', '1014116 Bytes', '1115311 Bytes', '1087775 Bytes', '1025415 Bytes', '1033544 Bytes', '1013553 Bytes', '1007845 Bytes', '654640 Bytes', '713705 Bytes', '1165918 Bytes', '1268218 Bytes', '1335443 Bytes', '1279049 Bytes', '1221815 Bytes', '1283069 Bytes', '1355713 Bytes', '1413972 Bytes', '1279930 Bytes', '1356468 Bytes', '1416118 Bytes', '1378934 Bytes', '1373229 Bytes', '1497517 Bytes', '1470469 Bytes', '1421297 Bytes', '1310865 Bytes', '529172 Bytes', '1316375 Bytes', '1341901 Bytes', '1440269 Bytes', '1411740 Bytes', '744228 Bytes', '1358097 Bytes', '1356454 Bytes', '1437801 Bytes', '1181904 Bytes', '1331267 Bytes', '1416448 Bytes', '1375778 Bytes', '1384565 Bytes', '1367972 Bytes', '1392366 Bytes', '1377093 Bytes', '1343264 Bytes', '1300549 Bytes', '1282970 Bytes', '1428664 Bytes', '1344084 Bytes', '1379666 Bytes', '1353455 Bytes', '1294139 Bytes', '1239070 Bytes', '1293302 Bytes', '1344841 Bytes', '1462888 Bytes', '1103745 Bytes', '1512008 Bytes', '952656 Bytes', '1175282 Bytes', '903604 Bytes', '1329047 Bytes', '863359 Bytes', '1030138 Bytes', '1077015 Bytes', '1027133 Bytes', '1076966 Bytes', '997163 Bytes', '951458 Bytes', '1166764 Bytes', '1188258 Bytes', '947877 Bytes', '1058869 Bytes', '843345 Bytes', '1062223 Bytes', '1080704 Bytes', '879488 Bytes', '923026 Bytes', '1323381 Bytes', '1314288 Bytes', '1379453 Bytes', '1482844 Bytes', '1503667 Bytes', '1505699 Bytes', '1262532 Bytes', '1301285 Bytes', '1404043 Bytes', '1462999 Bytes', '1378189 Bytes', '1416941 Bytes', '1390367 Bytes', '1610706 Bytes', '1375829 Bytes', '1422894 Bytes', '1316860 Bytes', '1443898 Bytes', '1407737 Bytes', '1382705 Bytes', '1284746 Bytes', '1425543 Bytes', '1031404 Bytes', '1052358 Bytes', '1380178 Bytes', '1412103 Bytes', '1364822 Bytes', '1451249 Bytes', '1394454 Bytes', '1388731 Bytes', '1356727 Bytes', '1416499 Bytes', '1403980 Bytes', '1491220 Bytes', '1414987 Bytes', '1407473 Bytes', '1401998 Bytes', '1482699 Bytes', '1350499 Bytes', '1315961 Bytes', '1358343 Bytes', '1071223 Bytes', '1460464 Bytes', '1616054 Bytes', '1477087 Bytes', '1610354 Bytes', '1370214 Bytes', '1393526 Bytes', '1413139 Bytes', '1391848 Bytes', '1472447 Bytes', '1512392 Bytes', '1383159 Bytes', '1490257 Bytes', '1367418 Bytes', '1489788 Bytes', '1470855 Bytes', '1457571 Bytes', '1106093 Bytes', '1524236 Bytes', '1431011 Bytes', '1056988 Bytes', '1488033 Bytes', '1760310 Bytes', '1380918 Bytes', '1047880 Bytes', '1045180 Bytes', '1669713 Bytes', '1550806 Bytes', '1507152 Bytes', '1395141 Bytes', '1522411 Bytes', '1346410 Bytes', '1601672 Bytes', '1508204 Bytes', '1687885 Bytes', '1594072 Bytes', '1440856 Bytes', '1151857 Bytes', '1659136 Bytes', '1431507 Bytes', '1398266 Bytes', '1251373 Bytes', '1412781 Bytes', '1106844 Bytes', '1412833 Bytes', '1607279 Bytes', '1572109 Bytes', '1659248 Bytes', '1433608 Bytes', '1703222 Bytes', '1526754 Bytes', '1570513 Bytes', '1478135 Bytes', '1626981 Bytes', '1487382 Bytes', '1609015 Bytes', '1476932 Bytes', '1653805 Bytes', '1554644 Bytes', '1674284 Bytes', '1491389 Bytes', '1613418 Bytes', '1547841 Bytes', '1611827 Bytes', '1700950 Bytes', '1609272 Bytes', '1437714 Bytes', '1627698 Bytes', '1595572 Bytes', '1658173 Bytes', '1544381 Bytes', '1655968 Bytes', '1584486 Bytes', '1594266 Bytes', '1597333 Bytes', '1612322 Bytes', '1143552 Bytes', '1041615 Bytes', '1404763 Bytes', '1535243 Bytes', '1519445 Bytes', '1594391 Bytes', '1510540 Bytes', '1541574 Bytes', '1513073 Bytes', '1614501 Bytes', '1534481 Bytes', '1595686 Bytes', '1407180 Bytes', '1699595 Bytes', '1531404 Bytes', '1600452 Bytes', '1597711 Bytes', '1570622 Bytes', '1326071 Bytes', '1357574 Bytes', '1364088 Bytes', '1026964 Bytes', '1236168 Bytes', '1358565 Bytes', '1402210 Bytes', '1457682 Bytes', '1457688 Bytes', '1311150 Bytes', '1376520 Bytes', '1527411 Bytes', '1314317 Bytes', '1346370 Bytes', '1379371 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'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg']"
-10.26302/sshade/experiment_op_20200701_001,"Vis-NIR reflectance spectra of Nontronite NAu-1, pure, mixed with Water ice, during and after ice sublimation",SSHADE/CSS (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","We measured the reflectance spectra (from 0.5 to 4 Âµm) of the Nontronite NAu-1 pure (at 300-333 K, under high vacuum) and mixed inside water ice particles (1wt%, at 173 K), as well as during and after sublimation of the water ice under high vacuum (at 173 K). The spectrum of the porous surface of Nontronite obtained after sublimation exhibits a blue spectral slope.",mds,True,findable,0,0,0,0,0,2020-11-02T13:12:32.000Z,2020-11-02T16:01:36.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,laboratory,phyllosilicate,Nontronite NAu-1,solid,inorganic molecular solid,water ice,interlayer phase,interlayer water,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'laboratory'}, {'subject': 'phyllosilicate'}, {'subject': 'Nontronite NAu-1'}, {'subject': 'solid'}, {'subject': 'inorganic molecular solid'}, {'subject': 'water ice'}, {'subject': 'interlayer phase'}, {'subject': 'interlayer water'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['25 spectra'],['ASCII']
-10.5281/zenodo.10440363,Replication package for article: From low-level fault modeling (of a pipeline attack) to a proven hardening scheme,Zenodo,2024,en,Software,,"This software package is the Docker image of a project about protecting RISC-V processors against certain low-level fault attacks. It mainlyÂ contains a modified LLVM, GNU binutils, QEMU, and test scripts.
-
-Project repository from which this image is built:Â https://gricad-gitlab.univ-grenoble-alpes.fr/michelse/fetch-skips-hardening
-
-Instructions for using this software and reproducing results: https://gricad-gitlab.univ-grenoble-alpes.fr/michelse/fetch-skips-hardening/-/blob/main/README.md?ref_type=heads
-
-Â ",api,True,findable,0,0,0,0,0,2024-01-04T00:26:28.000Z,2024-01-04T00:26:28.000Z,cern.zenodo,cern,"Compilation,Fault models,Hardware security","[{'subject': 'Compilation'}, {'subject': 'Fault models'}, {'subject': 'Hardware security'}]",,
-10.26302/sshade/experiment_gs_20170713_001,Ag K edge XAS transmission of Ag3PO4,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:14:24.000Z,2019-12-05T14:15:25.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,phosphate,Ag3PO4,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'phosphate'}, {'subject': 'Ag3PO4'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_jg_20091029_001,"Vis-NIR reflectance spectra of Kebri Dehar (Ogaden, Ethiopia) basalt powder",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Kebri Dehar (Ogaden, Ethiopia) basalts altered in hot conditions with globally increasing aridity since Late Oligocene. The samples are cobble fragments sampled from the same outcrop. The experiment contains spectra of the powder of the alteration rind and of the internal part of the samples.",mds,True,findable,0,0,0,0,0,2019-12-09T05:13:33.000Z,2019-12-09T05:13:34.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['4 spectra'],['ASCII']
-10.5281/zenodo.8104792,"Migration of mechanical perturbations estimated by seismic coda wave interferometry during the 2018 pre-eruptive period at KÄ«lauea volcano, Hawaii : Noise Cross-correlation Functions, Seismic catalog, and GNSS data",Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","ARCHIVE_NCFs_KILAUEA_2018.zip : Compress folder with (1) the daily noise cross-correlation functions (in MSEED format) of the station pairs used in the paper and (2) the one hour noise cross-correlation functions (in H5 format) of the station pairs used in the figure 9 of the paper. Code_Data_HVO.ipynb : Code to download the seismic data, available on IRIS, used in this paper. GPS_data_AHUP.zip : Compress folder with the daily GPS data of the station AHUP used in the paper [Year, Month, Day, Day_of_the_year, Second_of_the_day, East_comp(mm), North_comp(mm), Vertical_comp(mm), Sig_East_comp, Sig_North_comp, Sig_Vertical_comp]. Radial_tilt_UWD.txt : Daily radial tilt measurement of the tiltmeter UWD [Year, Month, Day, Radial_tilt(Âµrad)]. Seismic_stations_Kilauea.txt : Name code and location of the seismic stations used in the paper [Station_code, Longitude, Latitude]. Seismicity_Catalog_Kilauea_2018_USGS.txt : Seismic catalog from USGS used in the paper [Date_Time, Latitude, Longitude, Depth, Magnitude].",mds,True,findable,0,0,0,1,0,2023-07-01T21:48:33.000Z,2023-07-01T21:48:33.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10419097,"Sliding velocity, water discharge, water pressure, and rainfall time series at ArgentiÃ¨re Glacier between 2019 and 2021",Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Files Description:
-
-==================================cavitometer_2019-2021.dat:==================================
-
-Contains 30-min sampled values of recorded sliding velocities at the cavitometer.
-
-Column 1 = DateColumn 2 = Velocity (mm/hour)
-
-================================water_discharge_2019-2021.dat:================================
-
-Contains 15-min sampled values of recorded water discharge at the glacier outlet.
-
-Column 1 = DateColumn 2 = Water discharge (m3/s)
-
-================================water_pressure_2019-2021.dat:================================
-
-Contains 30-min sampled values of recorded water pressure at the borehole BH2.
-
-Column 1 = DateColumn 2 = Water pressure (bar)
-
-================================rainfall_2019-2021.dat:================================
-
-Contains 30-min sampled values of recorded rainfall at the meteo station.
-
-Column 1 = DateColumn 2 = Rainfall (mm w.eq./hour)",api,True,findable,0,0,0,0,0,2023-12-22T13:03:53.000Z,2023-12-22T13:03:53.000Z,cern.zenodo,cern,,,,
-10.17178/gnss.products.japan,GNSS position solutions in Japan,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)"". 
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes solutions processed by ISTerre for all Japanese GNSS stations. These products are daily position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the double difference method with GAMIT software.",mds,True,findable,0,0,1,1,0,2021-03-30T12:07:55.000Z,2021-03-30T12:07:58.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.26302/sshade/experiment_dl_20181107_002,Mn K edge XAS HERFD of synthetic Mn3+Â-hydroxylamine at 10K,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-15T20:28:33.000Z,2019-11-15T20:28:33.000Z,inist.sshade,mgeg,"laboratory,other compound,Synthetic Mn3+Â-hydroxylamine,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'other compound'}, {'subject': 'Synthetic Mn3+\xad-hydroxylamine'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_ml_20171221_003,Zr K edge XAS fluorescence of Na2Si2O5 Zr F glass at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T09:47:40.000Z,2019-12-05T09:47:40.000Z,inist.sshade,mgeg,"laboratory,silicate,Na2Si2O5 Zr F glass,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'laboratory'}, {'subject': 'silicate'}, {'subject': 'Na2Si2O5 Zr F glass'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.7986836,Experimental dataset: SMART for reliable NN inference in a neutron-irradiated OS-based system,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",TBA,mds,True,findable,0,0,0,0,0,2023-06-02T10:31:46.000Z,2023-06-02T10:31:46.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_sb_20190819_001,Optical constants from UV to FIR for 6 Fe(II) and Fe(II)-Mg-oxides,SSHADE/DOCCD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-04-20T13:09:19.000Z,2020-04-20T13:09:20.000Z,inist.sshade,mgeg,"laboratory,oxide-hydroxide,FeO,(Fe,Mg)O, stoichiometric Fe content 0.9,(Fe,Mg)O, stoichiometric Fe content 0.8,(Fe,Mg)O, stoichiometric Fe content 0.7,(Fe,Mg)O, stoichiometric Fe content 0.5,(Fe,Mg)O, stoichiometric Fe content 0.4,laboratory measurement,specular reflection,macroscopic,UV,Ultraviolet,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'oxide-hydroxide'}, {'subject': 'FeO'}, {'subject': '(Fe,Mg)O, stoichiometric Fe content 0.9'}, {'subject': '(Fe,Mg)O, stoichiometric Fe content 0.8'}, {'subject': '(Fe,Mg)O, stoichiometric Fe content 0.7'}, {'subject': '(Fe,Mg)O, stoichiometric Fe content 0.5'}, {'subject': '(Fe,Mg)O, stoichiometric Fe content 0.4'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'UV'}, {'subject': 'Ultraviolet'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['6 spectra'],['ASCII']
-10.26302/sshade/experiment_ak_20141120_1,Mid-infrared attenuated total reflectance experiment with Ca2+ exchanged less 2 Î¼m size fraction of montmorillonite (SAz-2) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:20:29.000Z,2022-11-04T08:20:30.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Ca-exchanged beidellite SbCa-1 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Ca-exchanged beidellite SbCa-1 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['3 spectra'],['ASCII']
-10.5281/zenodo.10444954,Data and code associated with the manuscript: Three centuries of snowpack decline at an Alpine pass revealed by cosmogenic paleothermometry and luminescence photochronometry,Zenodo,2023,,Dataset,GNU General Public License v3.0 or later,"This dataset contains the data as well as the Matlab codes needed to reproduce the results in the following manuscript:
-
-Guralnik, B., Tremblay, M.M., Phillips, M., Sellwood, E.L., Gribenski, N., Presl, R., Haberkorn, A., Sohbati, R., Shuster, D.L., Valla, P., Jain, M., Schindler, K., Wallinga, J., and Hippe, K., Three centuries of snowpack decline at an Alpine pass revealed by cosmogenic paleothermometry and luminescence photochronometry.Â 
-
-Briefly, this manuscript presents novel datasets of cosmogenic paleothermometery (quartz He-3) and luminescence photochronometery (feldspar IRSL), whose pairing constrains the temperature and insolation history of three bedrock outcrops at the Gotthard Pass in Switzerland over the last ~15,000 years.Â 
-
-The data include (1) measured concentrations of cosmogenic Be-10, C-14, and He-3 in quartz, (2) stepwise degassing experiments on proton irradiated quartz grains that are used to determine sample-specific He-3 diffusion kinetics, (3) best-fit multiple diffusion domain (MDD) models to the proton-induced He-3 diffusion experiments, (5) Natural radioactivity and calculated feldspar infrared stimulated luminescence (ISRL) dose rates, (6) feldspar ISRL depth profiles, and (7) high-resolution microrelief surface scans and analysis.
-
-The code includes scripts necessary to reproduce the figures and results associated with this manuscript. The code is organized by figure into subfolders, and any data needed to reproduce a figure should be included in that folder. All original codes are distributed under the GNU General Public License. Codes written by others and utilized here are redistributed under their original license according to the terms and conditions therein, and are provided in the folder 'external.'
-
-Any questions about original Matlab codes published here should be directed to Benny Guralnik, benny.guralnik@gmail.com.",api,True,findable,0,0,0,0,0,2023-12-30T17:14:33.000Z,2023-12-30T17:14:34.000Z,cern.zenodo,cern,"snow,cosmogenic,paleothermometry,luminescence,Alpine","[{'subject': 'snow'}, {'subject': 'cosmogenic'}, {'subject': 'paleothermometry'}, {'subject': 'luminescence'}, {'subject': 'Alpine'}]",,
-10.26302/sshade/bandlist_abs_hc3n_hc3n-i,Absorption band list of HC3N in natural solid HC3N (phase I),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR absorption band list of $HC_3N$ in natural solid $HC_3N$ (phase I) at 35 and 95 K,mds,True,findable,0,0,0,0,0,2023-04-21T07:11:41.000Z,2023-04-21T07:11:41.000Z,inist.sshade,mgeg,"natural HC3N - phase I,Cyanoacetylene,HC3N Phase I,Prop-2-ynenitrile,1070-71-9,HC3N,hydrogen bonded molecular solid,molecular solids with hydrogen bonded molecules,organic molecular solid,absorption,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural HC3N - phase I', 'subjectScheme': 'name'}, {'subject': 'Cyanoacetylene', 'subjectScheme': 'name'}, {'subject': 'HC3N Phase I', 'subjectScheme': 'name'}, {'subject': 'Prop-2-ynenitrile', 'subjectScheme': 'IUPAC name'}, {'subject': '1070-71-9', 'subjectScheme': 'CAS number'}, {'subject': 'HC3N', 'subjectScheme': 'formula'}, {'subject': 'hydrogen bonded molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with hydrogen bonded molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.17178/gnss.products.europe,GNSS position and velocity solutions in Europe,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)"". 
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes all European GNSS solutions processed by ISTerre. These products are position time series (North, East and Vertical) and the horizontal and vertical velocity fields calculated from rinex files using the double difference method with GAMIT software.",mds,True,findable,0,0,1,0,0,2019-04-05T10:19:17.000Z,2019-04-05T10:19:18.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.5281/zenodo.4115984,Distant entanglement via fast and coherent electron shuttling,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","In the quest for large-scale quantum computing, networked quantum computers offer a natural path towards scalability. While recent experiments have demonstrated nearest neighbour entanglement for electron spin qubits in semiconductors, on-chip long distance entanglement could bring more versatility to connect quantum core units. Here, we employ the moving trapping potential of a surface acoustic wave to realize the controlled and coherent transfer of a pair of entangled electron spins between two distant quantum dots. The subsequent electron displacement induces coherent spin rotations, which drives spin quantum interferences. We observe high-contrast interference as a signature of the preservation of the entanglement all along the displacement procedure, which includes a separation of the two spins by a distance of 6 Î¼m. This work opens the route towards fast on-chip deterministic interconnection of remote quantum bits in semiconductor quantum circuits.",mds,True,findable,0,0,0,0,0,2020-10-22T08:50:14.000Z,2020-10-22T08:50:15.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10578348,EDYTHA - Emotion Dynamics for Theater in Alsatian,Zenodo,2024,,Software,GNU General Public License v3.0 or later,"EDYTHA - Emotion Dynamics for Theater in Alsatian
-
-Initial version.",api,True,findable,0,0,0,1,1,2024-01-28T19:57:15.000Z,2024-01-28T19:57:16.000Z,cern.zenodo,cern,"Alsatian theater,Emotion analysis","[{'subject': 'Alsatian theater'}, {'subject': 'Emotion analysis'}]",,
-10.17178/amma-catch.ce.sw_nc,"Soil dataset (soil moisture and temperature profiles), within the Fakara site (2 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of soil water content and of soil hydrodynamic behaviour from surface to 2.5 m deep. Knowledge of main infiltration areas and of the speed of water front progression.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:04.000Z,2018-03-16T15:37:05.000Z,inist.osug,jbru,"Soil temperature, soil moisture content,Sahelian climate,Soil Moisture/CS616 Period at depth 5 cm,Soil Moisture/CS616 Period -0.4 to -0.7 m,Soil Moisture/CS616 Period at depth 5 cm (2),Soil Moisture/CS616 Period at depth 28 cm,Soil Water/Watermark Conductance at depth 11 cm,Soil Water/Watermark Conductance at height 1.19 m,Soil Water/Watermark Conductance at depth 2.3 m,Soil Temperature at depth 70 cm,Soil Temperature at depth 50 cm,Soil Moisture/CS616 Period at depth 15 cm,Soil Temperature at depth 1.15 m,Soil Temperature at depth 15 cm,Soil Water/Watermark Conductance at depth 2 m,Soil Water/Watermark Conductance at depth 2.47 m,Soil Moisture/CS615 Period -0.7 to -1 m,Soil Temperature at depth 30 cm,Soil Water/Watermark Conductance at depth 1.97 m,Soil Water/Watermark Conductance at depth 47 cm,Soil Water/Watermark Conductance at depth 2.27 m,Soil Moisture/CS616 Period -1.3 to -1.6 m,Soil Water/Watermark Conductance at depth 1.5 m,Soil Temperature at depth 1.5 m,Soil Water/Watermark Conductance at height 86 cm,Soil Water/Watermark Conductance at depth 2.5 m,Soil Moisture/CS616 Period at height 28 cm,Soil Temperature at depth 85 cm,Soil Water/Watermark Conductance at depth 25 cm,Soil Water/Watermark Conductance at depth 85 cm,Soil Water/Watermark Conductance at depth 30 cm,Soil Temperature at depth 25 cm,Soil Temperature at depth 55 cm,Soil Temperature at depth 1 m,Soil Moisture/CS616 Period at depth 30 cm,Soil Water/Watermark Conductance at height 43 cm,Soil Water/Watermark Conductance at height 38 cm,Soil Moisture/CS616 Period -1.4 to -1.7 m,Soil Moisture/CS616 Period -0.1 to -0.4 m,Soil Moisture/CS616 Period -0.7 to -1 m,Soil Moisture/CS616 Period -1.05 to -1.35 m,Soil Water/Watermark Conductance at depth 1.15 m,Soil Moisture/CS615 Period -1.05 to -1.35 m,Soil Water/Watermark Conductance at depth 1.33 m,Soil Water/Watermark Conductance at depth 29 cm,Soil Water/Watermark Conductance at depth 55 cm,Soil Water/Watermark Conductance at depth 1.47 m","[{'subject': 'Soil temperature, soil moisture content', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -0.4 to -0.7 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 28 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 11 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 1.19 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.3 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 70 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 15 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.15 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 15 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.47 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS615 Period -0.7 to -1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.97 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 47 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.27 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -1.3 to -1.6 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 86 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at height 28 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 85 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 85 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 55 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 43 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at height 38 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -1.4 to -1.7 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -0.1 to -0.4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -0.7 to -1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period -1.05 to -1.35 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.15 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS615 Period -1.05 to -1.35 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.33 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 29 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 55 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Conductance at depth 1.47 m', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.4305970,DEM simulations of bi-disperse beds during bedload transport,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This depository contains the data of all DEM simulations used in the publication Chassagne, R., Frey, P., Maurin, R., and Chauchat, J. Mobility of bidisperse mixtures during bedload transport. Physical Review Fluids, 5(11):114307. doi:10.1103/PhysRevFluids.5.114307, as well as post processing scripts to use the data. The simulations are located in seven folders, Monodisperse/ (mondisperse simulations where the fluid forcing is varied), N0.5/ (simulations with 0.5 layer of large particles above a small particle bed and or different fluid forcing), N1/ (simulations with 1 layer of large particles above a small particle bed and or different fluid forcing), N2/, N3/, N4/ and sizeRatio (2 layers of large particles, fixed fluid forcing but the diameter of the underlying small particles is varied). The data of each simulations are contained in separate subfolders named after the simulation. For example, H8Sh0.45/ corresponds to a monodisperse simulation with a bedheight of 8dl (dl is the large particle diameter) and a shields number of 0.45. H10N2R2Sh0.7/ corresponds to a bidisperse simulation with a bed height of 10dl, 2 layers of large particles, a size ratio of 2 between large and small particles and a shields number of 0.7. For each simulation, the time data are saved in data.hdf5 and averaged data in average.hdf5. A GeomParam.txt file is also in each folder. It contains information of the simulation that the post processing programm will read. The python script used to initiate the YADE-DEM simulation is also given for information (it contains all parameters of the simulation). The post-processing programm has been coded in python2.7 with an oriented-object procedure. The h5py package is necessary to read the .hdf5 files. The scripts do not work in python3, but can be very easily adapted if necessary (you only have to modify the ""print"" functions). The scripts are available in ScriptsPP/ and are organized as follow. For bidisperse simualtions, a mother class in SegregationPP and two child classes SegFull (to load the full time data set) and SegMean (to load only average data). For monodisperse simualtions, a mother class in MonodispersePP and two child classes MonoFull (to load the full time data set) and MonoMean (to load only average data). Two scripts examplePP1.py and examplePP2.py are proposed and show how to manipulate theses classes and the data.",mds,True,findable,0,0,1,0,0,2020-12-04T14:23:08.000Z,2020-12-04T14:23:09.000Z,cern.zenodo,cern,"Granular flow,Sediment transport,Bi-disperse mobility,Coupled fluid-DEM simulations","[{'subject': 'Granular flow'}, {'subject': 'Sediment transport'}, {'subject': 'Bi-disperse mobility'}, {'subject': 'Coupled fluid-DEM simulations'}]",,
-10.5281/zenodo.7141346,Crocus snowpack simulations across southwestern Canada and northwestern US,Zenodo,2022,,Dataset,"Open Government Licence - Canada,Open Access","The simulated snowpack properties (snow water equivalent, snow depth) were obtained from the detailed snowpack model Crocus (Vionnet et al., 2012; Lafaysse et al., 2017), implemented in the SVS land surface scheme version 2 (Soil Vegetation and Snow; Garnaud et al., 2019). Snowpack simulations were carried out from 1 September 2019 to 30 June 2020 over a grid covering southwestern Canada and northwestern US at 2.5-km grid spacing. The simulations were driven by short-meteorological forecast from the High-Resolution Deterministic Prediction System (HRDPS; Milbrandt et al., 2016) combined with precipitation estimates from the Canadian Precipitation Analysis (Fortin et al., 2018). Four precipitation-phase partitioning methods (PPMs) were used to derive the liquid and solid precipitation rates from the total precipitation available in the atmospheric forcing. More details about the simulations are and the PPMS given in the readme file included in the dataset. This dataset has been used in a study submitted to Water Resources Research (Vionnet et al, 2022). <strong>References: </strong> Fortin, V., Roy, G., Stadnyk, T., Koenig, K., Gasset, N., &amp; Mahidjiba, A. (2018). Ten years of science based on the Canadian precipitation analysis: A CaPA system overview and literature review. <em>Atmosphere-Ocean</em>, <em>56</em>(3), 178-196. Garnaud, C., BÃ©lair, S., Carrera, M. L., Derksen, C., Bilodeau, B., Abrahamowicz, M., ... &amp; Vionnet, V. (2019). Quantifying snow mass mission concept trade-offs using an observing system simulation experiment. <em>Journal of Hydrometeorology</em>, <em>20</em>(1), 155-173. Milbrandt, J. A., BÃ©lair, S., Faucher, M., VallÃ©e, M., Carrera, M. L., &amp; Glazer, A. (2016). The pan-Canadian high resolution (2.5 km) deterministic prediction system. <em>Weather and Forecasting</em>, <em>31</em>(6), 1791-1816. Lafaysse, M., Cluzet, B., Dumont, M., Lejeune, Y., Vionnet, V., &amp; Morin, S. (2017). A multiphysical ensemble system of numerical snow modelling. <em>The Cryosphere</em>, <em>11</em>(3), 1173-1198. Vionnet, V., Brun, E., Morin, S., Boone, A., Faroux, S., Le Moigne, P., ... &amp; Willemet, J. M. (2012). The detailed snowpack scheme Crocus and its implementation in SURFEX v7. 2. <em>Geoscientific Model Development</em>, <em>5</em>(3), 773-791. Vionnet, V., Verville, M., Fortin, V., Brugman, M., Abrahamowicz, M., Lemay, F., ThÃ©riault, J.M., Lafaysse M., and Milbrandt, J.A. : Snow level from post-processing of atmospheric model improves snowfall estimates and snowpack predictions in mountains, <em>Water Resources Research</em>, 2022, Accepted with minor revisions",mds,True,findable,0,0,0,0,0,2022-10-05T15:38:21.000Z,2022-10-05T15:38:22.000Z,cern.zenodo,cern,"snow,precipitation phase,mountains","[{'subject': 'snow'}, {'subject': 'precipitation phase'}, {'subject': 'mountains'}]",,
-10.5281/zenodo.3871603,Raw diffraction data for [NiFeSe] hydrogenase pressurized with Kr gas - dataset wtKr1A,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID29 on October 2, 2017. Image files are uploaded in blocks of gzip-compressed cbf files.",mds,True,findable,3,0,0,0,0,2020-06-01T15:52:13.000Z,2020-06-01T15:52:14.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
-10.5281/zenodo.5717483,"Supplementary data files for JGR 2021JB022729R, Initial results from the Oman Drilling Project Multi-Borehole Observatory: Petrogenesis and ongoing alteration of mantle peridotite in the weathering horizon",Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These are the four supplementary data files for a paper accepted in the Journal of Geophysical Research (JGR), ""Initial results from the Oman Drilling Project Multi-Borehole Observatory: Petrogenesis and ongoing alteration of mantle peridotite in the weathering horizon"", 2021JB022729R, which are being uploaded here in conformance with JGR's requirement that data be placed in an open archive. The date of publication is not yet known, but JGR requires that the data be uploaded when the paper is accepted, so we have used the date of acceptance, November 20, 2021.",mds,True,findable,0,0,0,0,0,2021-11-22T02:03:33.000Z,2021-11-22T02:03:33.000Z,cern.zenodo,cern,,,,
-10.57745/izhdpc,Non-volatile electric control of spin-orbit torques in an oxide two-dimensional electron gas,Recherche Data Gouv,2023,,Dataset,,"Electrical measurement dataset of the 5 figures of the article. This includes temperature dependence of the sheet resistance, Hall effect, second harmonic measurements of the spin orbit torques, endurance and remanence as a function of the back gate voltage applied to the 2D electron gas. The ReadMe file explains the data files and the figures.",mds,True,findable,80,5,0,0,0,2023-02-20T16:36:06.000Z,2023-03-09T19:24:01.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.5148640,Optimal Exclusive Perpetual Grid Exploration by Luminous Myopic Opaque Robots: The Animations,Zenodo,2020,,Audiovisual,"CeCILL-B Free Software License Agreement,Open Access","Animations of three optimal perpetual grid exploration algorithms. The published HTML pages allow the viewer to see the first 300 rounds of the algorithms, for different initial configurations. To view the animation without downloading them, they are also accessible at the following urls: https://bramas.fr/static/ICDCN2021/2-robots-3-colors-range-1.html https://bramas.fr/static/ICDCN2021/2-robots-2-colors-range-2.html https://bramas.fr/static/ICDCN2021/3-robots-1-color-range-2.html https://bramas.fr/static/TCS2021/4-robots-1-color-terminating.html https://bramas.fr/static/TCS2021/2-robot-7-colors-terminating.html",mds,True,findable,0,0,0,0,0,2021-07-30T14:34:04.000Z,2021-07-30T14:34:04.000Z,cern.zenodo,cern,"Mobile robots, distributed algorithms","[{'subject': 'Mobile robots, distributed algorithms'}]",,
-10.6084/m9.figshare.23575360,Additional file 1 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Composition of growth media and phylogenetic characterization. The data provided describe the both growth media and the phylogenetic affiliation of the pure strains which were isolated from the FR bacterial community. (DOC 76 KB),mds,True,findable,0,0,0,0,0,2023-06-25T03:11:45.000Z,2023-06-25T03:11:45.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['77312 Bytes'],
-10.57745/b6psx0,Speckle-correlation imaging through a kaleidoscopic multimode fiber (experimental data and Python scripts),Recherche Data Gouv,2023,,Dataset,,"Data set of the paper : ""Speckle-correlation imaging through a kaleidoscopic multimode fiber"". This includes the intensity correlation function of the excitation field for the 10.5 cm long fiber, and the measured signal autocorrelation functions for this fiber under dynamic perturbations.",mds,True,findable,160,29,0,0,0,2023-06-05T15:31:34.000Z,2023-06-15T14:51:30.000Z,rdg.prod,rdg,,,,
-10.26302/sshade/experiment_lb_20200201_001,NIR spectra of a series of opal (-A and -CT) in ambient conditions and at low temperature (~ -35Â°C) and/or low pressure (~ 8 mbar),SSHADE/GhoSST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",NIR spectra of 4 opal-A and 13 opal-CT in ambient conditions and at low temperature (~ -90Â°C) and/or low pressure (~ 8 mbar),mds,True,findable,0,0,0,0,0,2021-09-07T06:39:19.000Z,2021-09-07T06:39:20.000Z,inist.sshade,mgeg,"natural terrestrial,tektosilicate,opal,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'tektosilicate'}, {'subject': 'opal'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['84 spectra'],['ASCII']
-10.26302/sshade/experiment_bs_20130125_002,MIR optical constants of amorphous H2S at 56K,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR optical constants of amorphous H2S from sample deposited and measured at 56K,mds,True,findable,0,0,0,0,0,2020-02-01T13:55:43.000Z,2020-02-01T13:55:44.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,H2S amorphous,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2S amorphous'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'optical constants'}]",['1 spectrum'],['ASCII']
-10.15778/resif.yp2017,Study of the structure of the lithosphere from the continental plateau of western Ethiopia to the active Afar rift (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2021,,Dataset,,A network of 18 stations has been deployed in order to image the structure of the lithosphere from the stable western-Ethiopian continental plateaus to the active spreading axis in Afar.,mds,True,findable,0,0,0,0,0,2021-03-11T17:22:58.000Z,2021-03-11T17:24:48.000Z,inist.resif,vcob,Afar Margin Structure and Seismicity,[{'subject': 'Afar Margin Structure and Seismicity'}],"['16 stations, 103Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.17178/amma-catch.ce.run_ncw,"Surface water dataset (river discharge), within the Wankama watershed (1 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentating of water levels in the koris (temporary creeks), in order to control the runoff in the catchments. Devices are disposed on the same creek to determine possible infiltration areas in their bed.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:01.000Z,2018-03-16T15:37:01.000Z,inist.osug,jbru,"Discharge,Sahelian climate,Discharge/Flow","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.6084/m9.figshare.22609319,Additional file 1 of TRansfusion strategies in Acute brain INjured patients (TRAIN): a prospective multicenter randomized interventional trial protocol,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Supplemental Table 1. List of participating centers.,mds,True,findable,0,0,0,0,0,2023-04-13T11:34:54.000Z,2023-04-13T11:34:54.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['20300 Bytes'],
-10.15778/resif.y22014,SAFE-CO2 temporary experiment,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2014,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","NORSAR has rented 12 seismic stations from SISMOB for a period of 6 months, which were installed in Adventdalen (Spitsberg, Norway) between the 6th and the 16th of May 2014. The objective was to cover an area around the CO2 lab and record the ambient seismic noise during a water injection planned for August 2014. Six of the sensors are CMG 40 (Guralp, 60 s-50 Hz), six are Noemax (Agecodagis, 20 s-50 Hz). Taurus digitizers were employed with a sampling frequency of 100 Hz. At the time of the installation the Adventdalen river was still frozen, allowing to reach its northern side using a track vehicle. Most of the stations were installed on large blocks of rock (sandstone), in some cases requiring an additional cement base. Most of the stations recorded during the whole installation period; however, station STN04 stopped recording in the middle of June, station STN08 had problems recording continuous data starting middle of July (but was being repaired middle of August) and station STN10 did not record data apart from a very short period.",mds,True,findable,0,0,0,2,0,2018-03-01T15:25:32.000Z,2018-03-01T15:25:32.000Z,inist.resif,vcob,"Seismology,Spitzberg","[{'subject': 'Seismology'}, {'subject': 'Spitzberg'}]",['57 Gb;12 stations'],"['miniseed data', 'stationXML metadata']"
-10.6084/m9.figshare.17006979,Additional file 1 of Targeted high mean arterial pressure aggravates cerebral hemodynamics after extracorporeal resuscitation in swine,figshare,2021,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. Supplemental Table I: P values of the contingency table of the two-way analysis of variance (ANOVA) for repeated measures with group, time effect and group x time interaction effects for the different investigated parameters after cardiac arrest.",mds,True,findable,0,0,17,1,0,2021-11-14T04:19:23.000Z,2021-11-14T04:19:24.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Biological Sciences not elsewhere classified'}]",['30160 Bytes'],
-10.18709/perscido.2021.04.ds331,"F-TRACT, ATLAS February 2021",PerSCiDo,2021,en,Dataset,,"Connectivity probability as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 648 patients, in the AAL, AICHA, Brodmann, Freesurfer, Hammers, HCP-MMP1, Lausanne2008 (resolutions 33, 60, 125, 250, 500) and MarsAtlas parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, duration, integral, velocity estimated from the onset latency and the fibers distance between the parcels and axonal conduction delays. Synaptic excitatory and inhibitory delays are also provided for each parcel. All features have been estimated separately for patients younger than 15 y.o. (group ""0-15"") and patients older than 15 y.o. (group ""15-100"")",fabrica,True,findable,0,0,0,0,0,2021-04-13T14:09:49.000Z,2021-04-13T14:09:49.000Z,inist.persyval,vcob,"Biology,Medicine","[{'lang': 'en', 'subject': 'Biology'}, {'lang': 'en', 'subject': 'Medicine'}]",['800 MB'],['tsv-mat']
-10.26302/sshade/experiment_lb_20191220_004,"NIR reflectance spectrum (i=0Â°, e=30Â°) of bulk UOC chondrites under vacuum at T = 80Â°C",SSHADE/GhoSST (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR reflectance spectra (i = 0Â°, e=30Â°) of bulk UOC chondrites under vacuum at T = 80Â°C",mds,True,findable,0,0,0,0,0,2020-08-13T09:15:25.000Z,2020-08-13T09:15:29.000Z,inist.sshade,mgeg,"extraterrestrial,ordinary chondrite,H,complex organic-mineral mix,matrix BTN00302,complex mineral mix,chondrules BTN00302,CAIs BTN00302,matrix EET83248,chondrules EET83248,CAIs EET83248,matrix RBT04251,chondrules RBT04251,CAIs RBT04251,matrix MCY05218,chondrules MCY05218,CAIs MCY05218,matrix WIS91627,chondrules WIS91627,CAIs WIS91627,matrix DOM08468,chondrules DOM08468,CAIs DOM08468,matrix LAR04382,chondrules LAR04382,CAIs LAR04382,matrix MAC88174,chondrules MAC88174,CAIs MAC88174,matrix MET00506,chondrules MET00506,CAIs MET00506,matrix WSG95300,chondrules WSG95300,CAIs WSG95300,L,matrix EET90066,chondrules EET90066,CAIs EET90066,matrix EET90628,chondrules EET90628,CAIs EET90628,matrix GRO06054,chondrules GRO06054,CAIs GRO06054,matrix LEW87248,chondrules LEW87248,CAIs LEW87248,matrix MET00489,chondrules MET00489,CAIs MET00489,matrix LEW87284,chondrules LEW87284,CAIs LEW87284,matrix ALH83008,chondrules ALH83008,CAIs ALH83008,matrix ALH84086,chondrules ALH84086,CAIs ALH84086,matrix ALH84120,chondrules ALH84120,CAIs ALH84120,matrix DOM03287,chondrules DOM03287,CAIs DOM03287,matrix EET87735,chondrules EET87735,CAIs EET87735,matrix LEW88617,chondrules LEW88617,CAIs LEW88617,matrix LEW88632,chondrules LEW88632,CAIs LEW88632,matrix MIL05050,chondrules MIL05050,CAIs MIL05050,matrix MIL05076,chondrules MIL05076,CAIs MIL05076,LL,matrix ALHA76004,chondrules ALHA76004,CAIs ALHA76004,matrix TIL82408,chondrules TIL82408,CAIs TIL82408,matrix EET96188,chondrules EET96188,CAIs EET96188,matrix LAR06279,chondrules LAR06279,CAIs LAR06279,matrix ALHA78119,chondrules ALHA78119,CAIs ALHA78119,matrix LAR06469,chondrules LAR06469,CAIs LAR06469,matrix Bishunpur,chondrules Bishunpur,CAIs Bishunpur,H/L,matrix Bremervorde,chondrules Bremervorde,CAIs Bremervorde,matrix Chainpur,chondrules Chainpur,CAIs Chainpur,matrix Dhajala,chondrules Dhajala,CAIs Dhajala,matrix Hallingeberg,chondrules Hallingeberg,CAIs Hallingeberg,matrix Krymka,chondrules Krymka,CAIs Krymka,matrix Mezo-Madaras,chondrules Mezo-Madaras,CAIs Mezo-Madaras,matrix Parnallee,chondrules Parnallee,CAIs Parnallee,matrix Piancaldoli,chondrules Piancaldoli,CAIs Piancaldoli,matrix Tieschitz,chondrules Tieschitz,CAIs Tieschitz,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'ordinary chondrite'}, {'subject': 'H'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix BTN00302'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules BTN00302'}, {'subject': 'CAIs BTN00302'}, {'subject': 'matrix EET83248'}, {'subject': 'chondrules EET83248'}, {'subject': 'CAIs EET83248'}, {'subject': 'matrix RBT04251'}, {'subject': 'chondrules RBT04251'}, {'subject': 'CAIs RBT04251'}, {'subject': 'matrix MCY05218'}, {'subject': 'chondrules MCY05218'}, {'subject': 'CAIs MCY05218'}, {'subject': 'matrix WIS91627'}, {'subject': 'chondrules WIS91627'}, {'subject': 'CAIs WIS91627'}, {'subject': 'matrix DOM08468'}, {'subject': 'chondrules DOM08468'}, {'subject': 'CAIs DOM08468'}, {'subject': 'matrix LAR04382'}, {'subject': 'chondrules LAR04382'}, {'subject': 'CAIs LAR04382'}, {'subject': 'matrix MAC88174'}, {'subject': 'chondrules MAC88174'}, {'subject': 'CAIs MAC88174'}, {'subject': 'matrix MET00506'}, {'subject': 'chondrules MET00506'}, {'subject': 'CAIs MET00506'}, {'subject': 'matrix WSG95300'}, {'subject': 'chondrules WSG95300'}, {'subject': 'CAIs WSG95300'}, {'subject': 'L'}, {'subject': 'matrix EET90066'}, {'subject': 'chondrules EET90066'}, {'subject': 'CAIs EET90066'}, {'subject': 'matrix EET90628'}, {'subject': 'chondrules EET90628'}, {'subject': 'CAIs EET90628'}, {'subject': 'matrix GRO06054'}, {'subject': 'chondrules GRO06054'}, {'subject': 'CAIs GRO06054'}, {'subject': 'matrix LEW87248'}, {'subject': 'chondrules LEW87248'}, {'subject': 'CAIs LEW87248'}, {'subject': 'matrix MET00489'}, {'subject': 'chondrules MET00489'}, {'subject': 'CAIs MET00489'}, {'subject': 'matrix LEW87284'}, {'subject': 'chondrules LEW87284'}, {'subject': 'CAIs LEW87284'}, {'subject': 'matrix ALH83008'}, {'subject': 'chondrules ALH83008'}, {'subject': 'CAIs ALH83008'}, {'subject': 'matrix ALH84086'}, {'subject': 'chondrules ALH84086'}, {'subject': 'CAIs ALH84086'}, {'subject': 'matrix ALH84120'}, {'subject': 'chondrules ALH84120'}, {'subject': 'CAIs ALH84120'}, {'subject': 'matrix DOM03287'}, {'subject': 'chondrules DOM03287'}, {'subject': 'CAIs DOM03287'}, {'subject': 'matrix EET87735'}, {'subject': 'chondrules EET87735'}, {'subject': 'CAIs EET87735'}, {'subject': 'matrix LEW88617'}, {'subject': 'chondrules LEW88617'}, {'subject': 'CAIs LEW88617'}, {'subject': 'matrix LEW88632'}, {'subject': 'chondrules LEW88632'}, {'subject': 'CAIs LEW88632'}, {'subject': 'matrix MIL05050'}, {'subject': 'chondrules MIL05050'}, {'subject': 'CAIs MIL05050'}, {'subject': 'matrix MIL05076'}, {'subject': 'chondrules MIL05076'}, {'subject': 'CAIs MIL05076'}, {'subject': 'LL'}, {'subject': 'matrix ALHA76004'}, {'subject': 'chondrules ALHA76004'}, {'subject': 'CAIs ALHA76004'}, {'subject': 'matrix TIL82408'}, {'subject': 'chondrules TIL82408'}, {'subject': 'CAIs TIL82408'}, {'subject': 'matrix EET96188'}, {'subject': 'chondrules EET96188'}, {'subject': 'CAIs EET96188'}, {'subject': 'matrix LAR06279'}, {'subject': 'chondrules LAR06279'}, {'subject': 'CAIs LAR06279'}, {'subject': 'matrix ALHA78119'}, {'subject': 'chondrules ALHA78119'}, {'subject': 'CAIs ALHA78119'}, {'subject': 'matrix LAR06469'}, {'subject': 'chondrules LAR06469'}, {'subject': 'CAIs LAR06469'}, {'subject': 'matrix Bishunpur'}, {'subject': 'chondrules Bishunpur'}, {'subject': 'CAIs Bishunpur'}, {'subject': 'H/L'}, {'subject': 'matrix Bremervorde'}, {'subject': 'chondrules Bremervorde'}, {'subject': 'CAIs Bremervorde'}, {'subject': 'matrix Chainpur'}, {'subject': 'chondrules Chainpur'}, {'subject': 'CAIs Chainpur'}, {'subject': 'matrix Dhajala'}, {'subject': 'chondrules Dhajala'}, {'subject': 'CAIs Dhajala'}, {'subject': 'matrix Hallingeberg'}, {'subject': 'chondrules Hallingeberg'}, {'subject': 'CAIs Hallingeberg'}, {'subject': 'matrix Krymka'}, {'subject': 'chondrules Krymka'}, {'subject': 'CAIs Krymka'}, {'subject': 'matrix Mezo-Madaras'}, {'subject': 'chondrules Mezo-Madaras'}, {'subject': 'CAIs Mezo-Madaras'}, {'subject': 'matrix Parnallee'}, {'subject': 'chondrules Parnallee'}, {'subject': 'CAIs Parnallee'}, {'subject': 'matrix Piancaldoli'}, {'subject': 'chondrules Piancaldoli'}, {'subject': 'CAIs Piancaldoli'}, {'subject': 'matrix Tieschitz'}, {'subject': 'chondrules Tieschitz'}, {'subject': 'CAIs Tieschitz'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['41 spectra'],['ASCII']
-10.17178/emaa_ch-plus_rotation_47eb31e0,Rotation excitation of CH+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 91 collisional transitions for H (12 temperatures in the range 10-3000K) / 76 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:39.000Z,2021-11-18T13:34:40.000Z,inist.osug,jbru,"target CH+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_hm_20160512_001,"T-dependent Optical Constants of quartz, spinel and corundum",SSHADE/DOCCD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Optical constants are obtained by reflectance measurement with polarized light at elevated temperature,mds,True,findable,0,0,0,0,0,2020-04-20T13:08:17.000Z,2020-04-20T13:08:18.000Z,inist.sshade,mgeg,"natural terrestrial,tektosilicate,Quartz alpha,laboratory,tectosilicate,Quartz beta,commercial,oxide,Corundum,oxide-hydroxide,Spinel,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'natural terrestrial'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz alpha'}, {'subject': 'laboratory'}, {'subject': 'tectosilicate'}, {'subject': 'Quartz beta'}, {'subject': 'commercial'}, {'subject': 'oxide'}, {'subject': 'Corundum'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Spinel'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['22 spectra'],['ASCII']
-10.6084/m9.figshare.16851066,Additional file 11 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Dataset,Creative Commons Attribution 4.0 International,"Additional file 11: Table S2. Mass spectrometry identification data for spots of interest. For each protein identified in a spot of interest, the table gives: the protein full name, the accession number from UniProt database, the gene name, the Mascot scores, the number of unique peptides, the calculated emPAI (Exponentially Modified Protein Abundance Index) value, the experimental and theoretical pI (isoelectric point) and molecular weight (Mw) and the sequence coverage (%) (see: http://www.matrixscience.com ). * Two identifications for the same spot.",mds,True,findable,0,0,93,1,0,2021-10-22T04:03:18.000Z,2021-10-22T04:03:21.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['32700 Bytes'],
-10.26302/sshade/experiment_sr_20200204_02,Ion irradiation ($He^+$) of a Griffithite saponite pellet probed by IR spectroscopy in the Vis-NIR range,SSHADE/DAYSY (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis and Near-IR spectra of a pellet of ""Saponite Griffithite"", with different irradiation fluences.",mds,True,findable,0,0,0,0,0,2022-05-28T20:10:41.000Z,2022-05-28T20:10:42.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,Saponite Griffithite,laboratory measurement,bidirectional reflection,microscopy,Vis,Visible,macroscopic,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Saponite Griffithite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'microscopy'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['4 spectra'],['ASCII']
-10.6084/m9.figshare.20221976,Additional file 3 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter caseâ€“control computed tomography study,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 3: Missing data per variable,mds,True,findable,0,0,27,1,0,2022-07-04T06:41:09.000Z,2022-07-04T06:41:11.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['16378 Bytes'],
-10.26302/sshade/experiment_bs_20200103_001,Near and Mid-IR optical constants of crystalline H2O ice Ih at 140-145K,SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Near and Mid-IR optical constants of crystalline H2O ice Ih at 140K (NIR) - 145K (MIR). The data are completed in the Visible and UV (&gt; 10500 $cm^{-1}$, &lt; 0.95 Âµm) with data at 270K from Warren (1986)",mds,True,findable,0,0,0,0,0,2020-01-03T15:23:19.000Z,2020-01-03T15:23:19.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,H2O ice I,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,NIR,Near-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O ice I'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'optical constants'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.10428215,Artifacts of the CGO 2024 Paper: EasyTracker: A Python Library for Controlling and Inspecting Program Execution,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"This is the archive of the artifacts for the CGO 2024 Paper ""EasyTracker: A Python Library for Controlling and Inspecting Program Execution""
-
-The EasyTracker library is an open source project, refer to the Home page and Gitlab repository for up-to-date versions:Â 
-
-
-
-Home Page: https://corse.gitlabpages.inria.fr/easytracker
-
-Repository: https://gitlab.inria.fr/CORSE/easytracker
-
-
-The details of the artifacts generation are described in the paper appendix or in theÂ README.md file included in the main artifacts archive easytracker-artifacts-cgo-2024-v1.2.0.tar.gz.
-
-Summary of artifacts construction steps (execution in a Docker container):
-
-
-
-ensure Docker is installed withÂ docker --version,
-
-download the artifacts archive easytracker-artifacts-cgo-2024-v1.2.0.tar.gz,
-
-extract with tar xvzf easytracker-artifacts-cgo-2024-v1.2.0.tar.gz,
-
-change dir with cd eastracker-artifacts-cgo-2024,
-
-download the EasyTracker sources archiveÂ  easytracker-archive-dfe8aa888f.tar.gz,
-
-extract withÂ tar xvzf easytracker-archive-dfe8aa888f.tar.gz,
-
-download the docker image docker-image-easytracker-1.2.0.tar,
-
-load the Docker image with docker load -iÂ docker-image-easytracker-1.2.0.tar,Â 
-
-generate all artifacts withÂ ./in-docker.sh ./run-all.sh,
-
-all artifacts are generated in figure-*/ directories,
-
-refer to the artifacts archive README.md file for more details, or refer to the paper artifacts appendix.
-
-
-Note that this artifacts archive is extracted from the artifacts repository at tag v1.2.0: Â https://gitlab.inria.fr/CORSE/easytracker-artifacts-cgo-2024/-/tree/v1.2.0Â ",api,True,findable,0,0,0,0,0,2023-12-23T19:10:07.000Z,2023-12-23T19:10:07.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_raman_co_alpha-co,Raman band list of CO in natural solid CO (phase alpha),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman band list of the isotopes of $CO$ in natural $\alpha-CO$ ice,mds,True,findable,0,0,0,0,0,2023-04-21T07:13:51.000Z,2023-04-21T07:13:52.000Z,inist.sshade,mgeg,"natural CO - phase alpha,Carbon monoxide,alpha Carbon Monoxide,$\alpha-CO$,Carbon monoxide,630-08-0,CO,polar molecular solid,molecular solids with polar molecules,inorganic molecular solid,Raman scattering,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural CO - phase alpha', 'subjectScheme': 'name'}, {'subject': 'Carbon monoxide', 'subjectScheme': 'name'}, {'subject': 'alpha Carbon Monoxide', 'subjectScheme': 'name'}, {'subject': '$\\alpha-CO$', 'subjectScheme': 'name'}, {'subject': 'Carbon monoxide', 'subjectScheme': 'IUPAC name'}, {'subject': '630-08-0', 'subjectScheme': 'CAS number'}, {'subject': 'CO', 'subjectScheme': 'formula'}, {'subject': 'polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with polar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.6084/m9.figshare.22613069,Additional file 2 of Digital technologies in routine palliative care delivery: an exploratory qualitative study with health care professionals in Germany,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 2. Consolidated criteria for reporting qualitative research.,mds,True,findable,0,0,0,0,0,2023-04-13T12:27:56.000Z,2023-04-13T12:27:57.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,Science Policy","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['492390 Bytes'],
-10.5281/zenodo.10208773,leonroussel/blood_on_snow: v1,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,Teledetection of red algal blooms using Sentinel-2 images,api,True,findable,0,0,0,1,0,2023-11-27T08:32:09.000Z,2023-11-27T08:32:09.000Z,cern.zenodo,cern,,,,
-10.7280/d1gw91,Annual Ice Velocity of the Greenland Ice Sheet (1991-2000),Dryad,2019,en,Dataset,Creative Commons Attribution 4.0 International,"We derive surface ice velocity using data from 16 satellite sensors deployed by 6 different space agencies. The list of sensors is given in the Table S1. The SAR data are processed from raw to single look complex using the GAMMA processor (www.gamma-rs.ch). All measurements rely on consecutive images where the ice displacement is estimated from tracking or interferometry (Joughin et al. 1998, Michel and Rignot 1999, Mouginot et al. 2012). Surface ice motion is detected using a speckle tracking algorithm for SAR instruments and feature tracking for Landsat. The cross-correlation program for both SAR and optical images is ampcor from the JPL/Caltech repeat orbit interferometry package (ROI_PAC). We assemble a composite ice velocity mosaic at 150 m posting using our entire speed database as described in Mouginot et al. 2017 (Fig. 1A). The ice velocity maps are also mosaicked in annual maps at 150 m posting, covering July, 1st to June, 30th of the following year, i.e. centered on January, 1st (12) because a majority of historic data were acquired in winter season, hence spanning two calendar years. We use Landsat-1&amp;2/MSS images between 1972 and 1976 and combine image pairs up to 1 years apart to measure the displacement of surface features between images as described in Dehecq et al., 2015 or Mouginot et al. 2017. We use the 1978 2-m orthorectified aerial images to correct the geolocation of Landsat-1 and -2 images (Korsgaard et al., 2016). Between 1984 and 1991, we process Landsat-4&amp;5/TM image pairs acquired up to 1-year apart. Only few Landsat-4 and -5 images (~3%) needed geocoding refinement using the same 1978 reference as used previously. Between 1991 and 1998, we process radar images from the European ERS-1/2, with a repeat cycle varying from 3 to 36 days depending on the mission phase. Between 1999 and 2013, we used Landsat-7, ASTER, RADARSAT-1/2, ALOS/PALSAR, ENVISAT/ASAR to determine surface velocity (Joughin et al., 2010; Howat, I. 2017; Rignot and Mouginot, 2012). After 2013, we use Landsat-8, Sentinel-1a/b and RADARSAT-2 (Mouginot et al., 2017). All synthetic aperture radar (SAR) datasets are processed assuming surface parallel flow using the digital elevation model (DEM) from the Greenland Mapping Project (GIMP; Howat et al., 2014) and calibrated as described in Mouginot et al., 2012, 2017. Data were provided by the European Space Agency (ESA), the EU Copernicus program (through ESA), the Canadian Space Agency (CSA), the Japan Aerospace Exploration Agency (JAXA), the Agenzia Spaziale Italiana (ASI), the Deutsches Zentrum fuÌˆr Luft- und Raumfahrt e.V. (DLR) and the National Aeronautics and Space Administration (NASA). SAR data acquisitions were coordinated by the Polar Space Task Group (PSTG). Errors are estimated based on sensor resolution and time lapse between consecutive images as described in Mouginot et al. 2017. References Dehecq, A, Gourmelen, N, Trouve, E (2015). Deriving large-scale glacier velocities from a complete satellite archive: Application to the Pamir-Karakoram-Himalaya. Remote Sensing of Environment, 162, 55-66. Howat IM, Negrete A, Smith BE (2014) The greenland ice mapping project (gimp) land classification and surface elevation data sets. The Cryosphere 8(4):1509-1518. Howat, I (2017). MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from Optical Images, Version 2. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. Joughin, I., B. Smith, I. Howat, T. Scambos, and T. Moon. (2010). Greenland Flow Variability from Ice-Sheet-Wide Velocity Mapping, J. of Glac.. 56. 415-430. Joughin IR, Kwok R, Fahnestock MA (1998) Interferometric estimation of three dimensional ice-flow using ascending and descending passes. IEEE Trans. Geosci. Remote Sens. 36(1):25-37. Joughin, I, Smith S, Howat I, and Scambos T (2015). MEaSUREs Greenland Ice Sheet Velocity Map from InSAR Data, Version 2. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. Michel R, Rignot E (1999) Flow of Glaciar Moreno, Argentina, from repeat-pass Shuttle Imaging Radar images: comparison of the phase correlation method with radar interferometry. J. Glaciol. 45(149):93-100. Mouginot J, Scheuchl B, Rignot E (2012) Mapping of ice motion in Antarctica using synthetic-aperture radar data. Remote Sens. 4(12):2753-2767. Mouginot J, Rignot E, Scheuchl B, Millan R (2017) Comprehensive annual ice sheet velocity mapping using landsat-8, sentinel-1, and radarsat-2 data. Remote Sensing 9(4). Rignot E, Mouginot J (2012) Ice flow in Greenland for the International Polar Year 2008- 2009. Geophys. Res. Lett. 39, L11501:1-7.",mds,True,findable,1006,168,0,2,0,2018-12-15T22:37:49.000Z,2018-12-15T22:38:01.000Z,dryad.dryad,dryad,,,['7193679240 bytes'],
-10.26302/sshade/bandlist_abs_c2h2_c2h2-ii,Absorption band list of C2H2 in natural solid C2H2 (phase II),SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR-MIR-FIR absorption band list of $C_2H_2$ in natural solid $C_2H_2$ (phase II) at 20 and 65 K, + 130K for FIR",mds,True,findable,0,0,8,0,0,2023-04-30T18:19:11.000Z,2023-04-30T18:19:12.000Z,inist.sshade,mgeg,"natural C2H2 - phase II,Ethyne,Acetylene II ice,C2H2-II,Ethyne,74-86-2,C2H2,non polar molecular solid,molecular solids with apolar molecules,organic molecular solid,absorption,FIR,MIR,NIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural C2H2 - phase II', 'subjectScheme': 'name'}, {'subject': 'Ethyne', 'subjectScheme': 'name'}, {'subject': 'Acetylene II ice', 'subjectScheme': 'name'}, {'subject': 'C2H2-II', 'subjectScheme': 'name'}, {'subject': 'Ethyne', 'subjectScheme': 'IUPAC name'}, {'subject': '74-86-2', 'subjectScheme': 'CAS number'}, {'subject': 'C2H2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5281/zenodo.897674,simex_platform-0.3.3,Zenodo,2017,,Software,"GNU General Public License v3.0 only,Open Access",simex_platform: A software framework for simulations of photon experiments at advanced laser light sources.,mds,True,findable,0,0,0,3,0,2017-09-25T12:10:08.000Z,2017-09-25T12:10:10.000Z,cern.zenodo,cern,"simex, eucall, SIMEX, EUCALL, start-to-end simulations","[{'subject': 'simex, eucall, SIMEX, EUCALL, start-to-end simulations'}]",,
-10.5281/zenodo.5835975,FIGURE 1 in Bulbophyllum section Rhytionanthos (Orchidaceae) in Vietnam with description of new taxa and new national record,Zenodo,2022,,Image,Open Access,"FIGURE 1. Bulbophyllum nodosum (Rolfe) J.J.Sm. A. Flowering plant; B. Leaf apex, adaxial and abaxial side. C. Inflorescences. D. Inflorescence rachis. E. Floral bract. F. Flowers, side and back views. G. Pedicel, ovary and flower, side view. H. Median sepal, adaxial and abaxial side. I. Median sepal margin. J. Lateral sepals, adaxial and abaxial side. K. Lateral sepal margin. L. Petal, adaxial and abaxial side. M. Lip, views from different sides. N. Pedicel, ovary and column with sepals removed (above), and with all tepals removed (below). O. Surface of ovary and column foot base. P. Column, petals and lip, view from above. Q. Column, frontal and side views. R. Anther cap, views from different sides. S. Pollinia. Photos by Truong Ba Vuong, correction and design by L. Averyanov and T. Maisak.",mds,True,findable,0,0,2,0,0,2022-01-11T09:00:28.000Z,2022-01-11T09:00:30.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Plantae,Tracheophyta,Liliopsida,Asparagales,Orchidaceae,Bulbophyllum","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Plantae'}, {'subject': 'Tracheophyta'}, {'subject': 'Liliopsida'}, {'subject': 'Asparagales'}, {'subject': 'Orchidaceae'}, {'subject': 'Bulbophyllum'}]",,
-10.26302/sshade/experiment_ak_20141122_1,Mid-infrared attenuated total reflectance experiment with Ca2+ exchanged less 1 Î¼m size fraction of beidellite (SbCa-1) equilibrated with H2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:07:15.000Z,2022-11-04T08:07:16.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Ca-exchanged beidellite SbCa-1 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Ca-exchanged beidellite SbCa-1 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['8 spectra'],['ASCII']
-10.17178/emaa_para-nh2_hyperfine_0d542831,Hyperfine excitation of para-NH2 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",76 hyperfine energy levels / 485 radiative transitions / 2665 collisional transitions for para-H2 (15 temperatures in the range 10-150K) / 2665 collisional transitions for ortho-H2 (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:14.000Z,2022-02-07T11:26:15.000Z,inist.osug,jbru,"target para-NH2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/draixbleone_gal.all,DRAIXBLEONE Galabre Observatory,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. A meso-scale observatory dedicated to suspended sediment transport understanding: the Galabre site (southern French Alps), submitted to Hydrological Processes.
-
-","The Galabre is a site of the DRAIX BLEONE observatory, member of the french network of critical zone observatories (OZCAR). It is dedicated to the observation of hydrosedimentary fluxes in a mesoscale watershed (20 kmÂ²) representative of the southern French Alps. The multivariable data set provides a characterisation of i) the meteorlogical forcing encountered in mediterranean mountainous areas, ii) the hydrological response of the watershed, iii) the soil erosion and associated suspended sediment fluxes as well as iv) the dissolved fluxes at the outlet of the cathment.",mds,True,findable,0,0,0,0,0,2020-09-15T15:58:36.000Z,2020-09-15T15:58:37.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Surface water,Meteorology,Hydrology,Sediments,Soils,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.26302/sshade/experiment_gv_20160403_001,Ni K edge XAS fluorescence of square planar Nickel(II) with Ni-N2S2 or Ni-S4 coordination at 16K,SSHADE/FAME (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-19T12:34:20.000Z,2019-11-19T12:34:20.000Z,inist.sshade,mgeg,"laboratory,molecular solid solution,Frozen solution of N,Nâ€™-dimethyl-N,Nâ€™-bis(2-mercaptoethyl)-1,3-propanediamine Nickel(II),Frozen solution of 1,2-bis(4-mercapto-3,3-dimethyl-2-thiabutyl)-benzene nickel(II),laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of N,Nâ€™-dimethyl-N,Nâ€™-bis(2-mercaptoethyl)-1,3-propanediamine Nickel(II)'}, {'subject': 'Frozen solution of 1,2-bis(4-mercapto-3,3-dimethyl-2-thiabutyl)-benzene nickel(II)'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['2 spectra'],['ASCII']
-10.17178/cryobsclim.clb.dem,"Col du Lac Blanc, Digital Elevation Model",CNRS - OSUG - Meteo France - Irstea,2017,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate â€“ Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-07-05T14:16:07.000Z,2018-07-05T14:16:07.000Z,inist.osug,jbru,Digital Elevation Model,"[{'subject': 'Digital Elevation Model', 'subjectScheme': 'main'}]",,['CSV']
-10.17178/emaa_meta-nd3_rotation_4181d476,Rotation excitation of meta-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",9 rotation energy levels / 8 radiative transitions / 36 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:15.000Z,2021-11-17T14:01:17.000Z,inist.osug,jbru,"target meta-ND3,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target meta-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.6084/m9.figshare.16851126,Additional file 26 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Dataset,Creative Commons Attribution 4.0 International,Additional file 26. Images of the full immunoblots.,mds,True,findable,0,0,93,1,0,2021-10-22T04:06:39.000Z,2021-10-22T04:06:40.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['11725330 Bytes'],
-10.26302/sshade/experiment_lb_20170731_001,"Raw, normalized and baseline-corrected of MIR transmission spectra of MET00426 matrix grains pressed on diamonds under vacuum at ambiant temperature and 300C",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","MIR spectra of several matrix grains of MET00426 at different temperature, under vacuum",mds,True,findable,0,0,0,0,0,2020-10-02T09:40:50.000Z,2020-10-02T09:40:51.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix MET00426,physically adsorbed phase,adsorbed water,matrix MET00426 heated at 300Â°C,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix MET00426'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water'}, {'subject': 'matrix MET00426 heated at 300Â°C'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['18 spectra'],['ASCII']
-10.26302/sshade/experiment_bs_20130120_002,Far-IR optical constants of crystalline H2O Ih at different temperatures between 34K and 133K,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Far-IR optical constants spectra of crystalline H2O Ih at different temperatures (34, 60, 80, 100, 133K)",mds,True,findable,0,0,0,0,0,2019-12-28T20:28:17.000Z,2019-12-28T20:28:17.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,H2O crystalline - phase Ih,laboratory measurement,transmission,macroscopic,FIR,Far-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O crystalline - phase Ih'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['5 spectra'],['ASCII']
-10.5281/zenodo.7030984,Local structure and density of liquid Fe-C-S alloys at Moon's core conditions,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",This file includes the raw CAESAR and absorption data measured in each P-T condition and the Python codes for diffraction and absorption data analysis. Matlab codes for P-T calibration are also enclosed.,mds,True,findable,0,0,0,1,0,2022-08-30T14:33:46.000Z,2022-08-30T14:33:47.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5189179,MICCAI 2016 challenge dataset demographics data,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",This dataset contains supplementary material for the 2016 MS segmentation challenge data article. It contains the full demographic data for the datasets opened to the public.,mds,True,findable,0,0,0,0,0,2021-08-12T15:52:54.000Z,2021-08-12T15:52:55.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_gl_20150104_1,Mid-infrared diffuse reflectance experiment with chlorite (Fe-clinochlore) heated in-situ from 25 to 860Â°C,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:18:18.000Z,2022-11-04T08:18:19.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,chamosite,commercial,elemental solid,Synthetic diamond powder,laboratory measurement,diffuse reflection,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'chamosite'}, {'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'Synthetic diamond powder'}, {'subject': 'laboratory measurement'}, {'subject': 'diffuse reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['4 spectra'],['ASCII']
-10.5281/zenodo.7649167,"Polarization dataset - Reflection, emission, and polarization properties of surfaces made of hyperfine grains, and implications for the nature of primitive small bodies",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This data are relative to the polarization measurements of the paper ""Reflection, emission, and polarization properties of surfaces made of hyperfine grains, and implications for the nature of primitive small bodies"" The dataset consists in 8 .txt files that represent the polarization measurements of mixtures of FeS and Olivine (ol) with different mass ratios. In the name of each file it is specified the mass percentage of the two components respect with the total mass of the sample (eg. data_ol_FeS_10-90_530.txt is the sample composed by 10% olivine and 90% FeS, measured at 530 nm). In each file, the data are organized in the following columns: #phase_angles[Â°] #Q/I #U/I #V/I #DOLP #DC #delta_Q/I #delta_U/I #delta_V/I #delta_DOLP #delta_dc ""delta"" refers to the standard deviation of the measurement upon rotation of the sample on the azimuthal axis. <br>",mds,True,findable,0,0,0,0,0,2023-02-17T11:56:25.000Z,2023-02-17T11:56:47.000Z,cern.zenodo,cern,"polarization,dust,asteroids,remote sensing","[{'subject': 'polarization'}, {'subject': 'dust'}, {'subject': 'asteroids'}, {'subject': 'remote sensing'}]",,
-10.5281/zenodo.7741947,"Data for: ""Land-use intensity influences European tetrapod food-webs""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These .Rdata files enable to reproduce results from our article "" Signatures of land use intensity on european tetrapod food-web architectures"" along with the R code provided at: https://github.com/ChrisBotella/foodwebs_vs_land_use - raw_data : Raw data including GBIF and iNaturalist occurrences and IUCN enveloppes used to select sites and generate species presence/absence. We provide this file for transparency and reproducibility of our methodology. - preprocessed_data: preprocessed data (obtained from raw_data) used to generate our article Figures along with the next file. - TrophicNetworksList : .Rdata containing a list of igraph objects, each igraph is a foodweb associated to a site identify by the list element name. - MultiRegMatrices: .Rdata containing especially the pre-computed matrix Y of cells (rows) by food web metrics (columns) and the covariate design matrix X (for the linear regressions) in order to facilitate and accelerate the reproduction of the analyses.",mds,True,findable,0,0,0,0,0,2023-03-16T17:16:19.000Z,2023-03-16T17:16:20.000Z,cern.zenodo,cern,,,,
-10.17178/draixbleone_gal_rob_sedpsd_0809,Particle size distributions of suspended sediments of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Grangeon et al. (2012) when using these data. Grangeon T., Legout C., Esteves M., Gratiot N., Navratil O. (2012). Variability of suspended particles size during highly concentrated flood events in a small mountainous catchment. Journal of Soils and Sediments. 12(10): 1549-1558.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This particle size distribution of suspended sediments data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:47.000Z,2020-09-15T15:58:48.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Sediments,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.5281/zenodo.4256801,An exploratory clinical trial on acceptance and commitment therapy as an adjunct to psychoeducational relaxation therapy for chronic pain.,Zenodo,2020,fr,Dataset,Restricted Access,The document contains the following documents used in the study: 1. Consent form 2. Dataset in the .sav format 3. The version of the questionnaire 4. Raw dataset in the .xlsx format 5. Workbook for the ACT treatment 5. Workbook for the PRT treatment,mds,True,findable,0,0,0,0,0,2020-11-12T11:01:44.000Z,2020-11-12T11:01:45.000Z,cern.zenodo,cern,"chronic pain,relaxation,psychotherapy,ACT,psychoeducation","[{'subject': 'chronic pain'}, {'subject': 'relaxation'}, {'subject': 'psychotherapy'}, {'subject': 'ACT'}, {'subject': 'psychoeducation'}]",,
-10.26302/sshade/experiment_gm_20221013_001,Raman spectra of some tectosilicates,SSHADE/REAP (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-10-31T10:13:30.000Z,2022-10-31T10:13:31.000Z,inist.sshade,mgeg,"natural terrestrial,tektosilicate,Albite,Anorthite,Orthoclase,laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,FIR,Far-Infrared,normalized Raman scattering intensity","[{'subject': 'natural terrestrial'}, {'subject': 'tektosilicate'}, {'subject': 'Albite'}, {'subject': 'Anorthite'}, {'subject': 'Orthoclase'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'normalized Raman scattering intensity'}]",['3 spectra'],['ASCII']
-10.17178/emaa_ortho-h2co_hyperfine_21889b23,Hyperfine excitation of ortho-H2CO by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2019,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 hyperfine energy levels / 69 radiative transitions / 324 collisional transitions for para-H2 (10 temperatures in the range 10-100K) / 324 collisional transitions for ortho-H2 (10 temperatures in the range 10-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:45.000Z,2023-12-07T15:51:45.000Z,inist.osug,jbru,"target ortho-H2CO,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.15778/resif.xg2014,"Seismic network XG:Barcelonette (France) aftershok experiment (RESIF-SISMOB, SISMO l'ECOLE)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2014,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","This dense temporary seismic network was installed after the M=5 earthquake in Ubaye on 14th April 2014. It was deployed by a joined effort of 2 French laboratories : ISTerre (UGA, CNRS, IRD, USMB, IFSTTAR in Grenoble) and Goazur (UCA, CNRS, IRD, OCA in Nice) under the general coordination of the post-seismic french consortium. It completed the permanent RESIF and Sismalp networks which follow seismic activity in the Alps. The region is particulary interesting as it has already been facing seismic swarms (2002-2004, Jennatton et al., 2007, Leclre et al., 2013) and mainshock aftershocks sequences (Thouvenot at al., 2016) in the past. Understanding the physical mechanisms leading to such seismic swarns is a challenge towards a better assessment of seismic hazard in the Ubaye Alpine valley.",mds,True,findable,0,0,0,1,0,2018-04-04T14:07:23.000Z,2018-04-04T14:07:23.000Z,inist.resif,vcob,"Seismic swarm,Aftershock,Alps,Ubaye,Sismo l'Ã©cole","[{'subject': 'Seismic swarm'}, {'subject': 'Aftershock'}, {'subject': 'Alps'}, {'subject': 'Ubaye'}, {'subject': ""Sismo l'Ã©cole""}]",['57 Gb;8 stations'],"['Miniseed data', 'stationXML metadata']"
-10.5281/zenodo.8052969,Garaffa_et_al_OE_2023_Supplemental_Information,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Supplemental Information. Garaffa et al., Stocktake of G20 countries' climate pledges reveals limited macroeconomic costs and employment shifts, One Earth (2023), https://doi.org/10.1016/j.oneear.2023.10.012Â 
-List of policies included in the scenarios (CurPol, NDC-LTS and 1.5C)",mds,True,findable,0,0,0,0,0,2023-06-19T12:55:33.000Z,2023-06-19T12:55:34.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8362722,PecubeGUI-beta,Zenodo,2023,en,Software,"Creative Commons Attribution 3.0 Germany,Open Access","PecubeGUI-beta is a newly developed user interface for Pecube that includes grain-specific kinetic parameters, additional diffusion model for apatite and zircon (U-Th)/He thermochronometry, and additional annealing models for apatite fission tracks. The interface is designed to help the users to check their input parameters before running a Pecube model, as well as to plot their results in a simple way.",mds,True,findable,0,0,0,0,0,2023-09-25T07:26:33.000Z,2023-09-25T07:26:33.000Z,cern.zenodo,cern,"Thermochronology,Pecube,Numerical modelling","[{'subject': 'Thermochronology'}, {'subject': 'Pecube'}, {'subject': 'Numerical modelling'}]",,
-10.5281/zenodo.5243189,Italian DBnary archive in original Lemon format,Zenodo,2021,it,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Italian language edition, ranging from 27th August 2012 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T10:22:49.000Z,2021-08-24T10:22:49.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.17178/draixbleone_gal_rob_ion_1719,Major ion concentration of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This major ion concentration data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:43.000Z,2020-09-15T15:58:44.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.5281/zenodo.10207869,"Link to data for the paper ""Diode effect in Josephson junctions with a single magnetic atom""",Zenodo,2023,,Other,Creative Commons Attribution 4.0 International,"The refubium repository contains the experimental data and the code used in the paper ""Diode effect in Josephson junctions with a single magnetic atom"" published in Nature 618, 625 (2023).",api,True,findable,0,0,0,0,0,2023-11-26T19:52:29.000Z,2023-11-26T19:52:29.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_ortho-nh2_hyperfine_6c2e5783,Hyperfine excitation of ortho-NH2 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",231 hyperfine energy levels / 2995 radiative transitions / 24692 collisional transitions for para-H2 (15 temperatures in the range 10-150K) / 24692 collisional transitions for ortho-H2 (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:47.000Z,2022-02-07T11:25:48.000Z,inist.osug,jbru,"target ortho-NH2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.6084/m9.figshare.14737121,Additional file 1 of Mental health and stress among ICU healthcare professionals in France according to intensity of the COVID-19 epidemic,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Additional figures and tables.,mds,True,findable,0,0,43,1,0,2021-06-05T04:31:09.000Z,2021-06-05T04:31:10.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Biological Sciences not elsewhere classified,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}]",['1844943 Bytes'],
-10.5061/dryad.zw3r2285q,"Data from: Last Glacial Maximum environmental conditions at AndÃ¸ya, northern Norway; evidence for a northern ice-edge ecological â€œhotspotâ€",Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"AndÃ¸ya on the NW coast of Norway is a key site for understanding the Last Glacial Maximum (LGM) in northern Europe. Controversy has arisen concerning the local conditions, especially about the timing and extent of local glacial cover, maximum July temperatures and whether pine and/or spruce could have grown there. We reviewed all existing data and add newly analysed ancient sedimentary DNA, pollen, macrofossils, geochemistry and stable isotopes from three lake sediment cores from Ã˜vre Ã†rÃ¥svatnet. A total of 23 new dates and age-depth modelling suggests the lake has been ice-free since GI2 (&lt;22.8 k cal. BP) and possibly GS3 (&lt;27.4 k cal. BP). Pinus and Picea sedimentary ancient DNA (sedaDNA) was found in all three cores but at such low frequencies that it could not be distinguished from background contamination. LGM samples have an exceptionally high organic matter content, with isotopic values indicating that carbon and nitrogen derives from a marine source. Along with finds of bones of the little auk (Alle alle), this indicates that the lake received guano from an adjacent bird colony. DNA, pollen and macrofossil assemblages were dominated by Poaceae, Brassicaceae and Papaver, but scattered occurrence of species currently restricted to the Low Arctic Tundra Zone (July temperature of 8-9Â°C) such as Apiaceae (DNA, 8-9Â°C), and Alchemilla alpina (macrofossil, 8-9Â°C) were also recorded. The review showed 94 recorded vascular plant taxa, of which 38% have a northern limit in Shrub Tundra or more southern vegetation zones. This unusual assemblage likely stems from a combination of proximity to ice-free water in summer, geographical isolation linked with stochastic long- distance dispersal events, and the presence of bird-fertilized habitats. The environmental reconstruction based on all records from the area does not preclude local growth of tree species, as the local climate combined with high nutrient input may have led to periodically suitable environmental â€˜hotspotâ€™ conditions.",mds,True,findable,188,9,1,1,0,2020-07-07T00:40:48.000Z,2020-07-07T00:40:49.000Z,dryad.dryad,dryad,,,['3353091743 bytes'],
-10.26302/sshade/experiment_op_20230203_001,NIR-MIR reflectance spectra of powdered Olivine at 4 different grain sizes (from 200 Âµm down to sub-Âµm),SSHADE/GhoSST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","We measured the reflectance spectra (from 1 to 25 Âµm) of powders of olivine. The powders were grinded and sieved and the spectra of four size fractions were measured: 100-200 Âµm, 50-100 Âµm, 25-50 Âµm, and sub-micrometer sized grains.",mds,True,findable,0,0,0,0,0,2023-02-06T14:19:15.000Z,2023-02-06T14:19:16.000Z,inist.sshade,mgeg,"mineral,laboratory,natural terrestrial,nesosilicate,Olivine Forsterite,tektosilicate,Quartz,laboratory measurement,transmission,macroscopic,NIR,Near-Infrared,MIR,Mid-Infrared,bidirectional reflection,Vis,Visible,reflectance factor","[{'subject': 'mineral'}, {'subject': 'laboratory'}, {'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'Olivine Forsterite'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'bidirectional reflection'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'reflectance factor'}]",['4 spectra'],['ASCII']
-10.17178/gnss.products.japan_gipsyx.kinematic.2011,GNSS kinematic position solutions in Japan,"CNRS, OSUG, ISTERRE",2022,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)"". 
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes solutions processed by ISTerre for 352 Japanese GNSS stations. These products are 30-seconds kinematic position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the PPP strategy with GIPSYX software.",mds,True,findable,0,0,1,0,0,2022-05-20T15:30:49.000Z,2022-05-20T15:30:52.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.5281/zenodo.10511345,"Supplementary Information for ""Informative Training Data for Efficient Property Prediction in Metal-Organic Frameworks by Active Learning""",Zenodo,2024,,ComputationalNotebook,Creative Commons Attribution 4.0 International,"This record consists of the results from the work 'Informative Training Data for Efficient Property Prediction in Metal-Organic Frameworks by Active Learning', DOI:10.1021/jacs.3c13687 (arxiv DOI: 10.26434/chemrxiv-2023-sw9kv).Â 
-
-Training sets selected by Regression-Tree based Active Learning (RT-AL), as well as MAE values on test sets are provided as a benchmark for MOF datasets.
-
-Descriptors computed for each dataset are also provided.
-
-The codes and a comprehensive example of the usage of RT-AL is provided at https://github.com/AshnaJose/Regression-Tree-based-Active-Learning-for-MOFs.",api,True,findable,0,0,0,1,0,2024-02-23T11:09:09.000Z,2024-02-23T11:09:09.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_bs_20210913_001,Mid-IR absorbance spectra of amorphous and crystalline CH3OH ice between 17 and 120 K,SSHADE/GhoSST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR (400-4000 cm$^{-1}$) absorbance spectra of amorphous and crystalline $CH_3OH$ ice at 17, 35, 55, 75, 95, and 120 K",mds,True,findable,0,0,0,0,0,2021-09-16T17:57:25.000Z,2021-09-16T17:57:26.000Z,inist.sshade,mgeg,"laboratory,organic molecular solid,solid amorphous CH3OH,solid CH3OH - phase I,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'laboratory'}, {'subject': 'organic molecular solid'}, {'subject': 'solid amorphous CH3OH'}, {'subject': 'solid CH3OH - phase I'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['12 spectra'],['ASCII']
-10.5281/zenodo.10276252,3D roughness computation from XCT data - Data and Python & ImageJ implementations,Zenodo,2023,en,ComputationalNotebook,CeCILL Free Software License Agreement v2.1,"Data provided in supplement of the research article ""A methodology for the 3D characterization of surfaces using X-ray computed tomography: application to additively manufactured parts"", F.Steinhilber, J.Lachambre, D.CÅ“urjolly, J.Y.BuffiÃ¨re, G.Martin, R.Dendievel.
-Â 
-It contains 3 folders:
-- ""data"": a dataset used to present the roughness computation methodology in the article (= the XCT scan of a 2 mm cylinder fabricated by Electron Powder Bed Fusion, with a voxel size of 5 Âµm). The results of the roughness computation are also provided in this folder.
-- ""Python"": the Python implementation of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
-- ""ImageJ"": the ImageJ implementation (simple macro) of the roughness computation methodology presented in the article, as well as some other calculations, such as the computation of the triangle threshold for bimodal histograms introduced in the article.
-Â 
-Each folder contains a README file that further details the different files provided.",api,True,findable,0,0,0,0,0,2023-12-06T09:53:00.000Z,2023-12-06T09:53:00.000Z,cern.zenodo,cern,"Surface roughness,X-ray Computed Tomography,Python,ImageJ,3D","[{'subject': 'Surface roughness'}, {'subject': 'X-ray Computed Tomography'}, {'subject': 'Python'}, {'subject': 'ImageJ'}, {'subject': '3D'}]",,
-10.34847/nkl.76abr599,Parcourir la ville : un jeu d'enfants,NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,fr,Sound,,"Enregistrement sonore rÃ©alisÃ© pour le Forum Mobi'Kids intitulÃ© Â« lâ€™enfant autonome au dÃ©fi de la ville Â» (juillet 2022, Rennes) dans le cadre de la recherche Mobikids - Le rÃ´le des cultures Ã©ducatives urbaines (CEU) dans l'Ã©volution des mobilitÃ©s quotidiennes et des contextes de vie des enfants. Collecte et analyse de traces gÃ©olocalisÃ©es et enrichies sÃ©mantiquement 2017-2021 (ANR-16-CE22-0009). 
-Equipe : 
-Responsable scientifique. DEPEAU Sandrine 
-Laboratoires, entreprises impliquÃ©s : ESO-Rennes, UMR Pacte,  UMR AAU, LIFAT, PME Alkante, PME RF Track,
-Pour l'Ã©quipe AAU-CRESSON : THIBAUD Jean-Paul, MANOLA ThÃ©a, MCOISANS juL, AUDAS Nathalie. 
-
-Cette fiction sâ€™inspire de lâ€™enquÃªte menÃ©e auprÃ¨s des enfants ayant rÃ©alisÃ© des parcours commentÃ©s entre lâ€™Ã©cole et le domicile. Les deux personnages ainsi crÃ©Ã©s, Camille et Sacha, Ã©voquent des moments de vie, des anecdotes, des maniÃ¨res de faire, des formes dâ€™attention, repÃ©rÃ©s chez diffÃ©rents enfants et sont racontÃ©s comme une histoire pour faire ressortir sous une forme originale les principales tendances et rÃ©sultats obtenus au cours de cette recherche. 
-
-Deux enfants racontent leurs dÃ©placements quotidiens entre lâ€™Ã©cole et le domicile. A travers leurs Ã©changes, nous dÃ©couvrons la ville Ã  hauteur dâ€™enfants au travers des espaces parcourus, seul.e ou accompagnÃ©.e. Ils Ã©voquent ce quâ€™ils aiment faire ou non sur ce trajet, ce dont ils ont peur, ce qui les attire ou les repousse. Apparaissent aussi les recommandations et autres conseils ou avertissements parentaux. Par le rythme de leurs dÃ©placements, leurs choix de cheminements, le besoin dâ€™Ãªtre et de jouer avec les copains/copines, leurs descriptions des environnements traversÃ©s, se dessinent les expÃ©riences urbaines enfantines. Les ambiances sonores des lieux parcourus sonorisent les voix. Il s'agit d'extraits sonores du rÃ©cit-fiction.",api,True,findable,0,0,0,0,0,2023-03-10T14:57:48.000Z,2023-03-10T14:57:48.000Z,inist.humanum,jbru,"mobilitÃ© spatiale,mobilitÃ© quotidienne,enfant,autonomie,rÃ©cit personnel,amitiÃ©--chez l'enfant,sens et sensations,perception du risque,Villes -- Sons, environnement sonore,itinÃ©raire,matÃ©riaux de terrain Ã©ditorialisÃ©s,rÃ©cit-fiction,enregistrement sonore","[{'lang': 'fr', 'subject': 'mobilitÃ© spatiale'}, {'lang': 'fr', 'subject': 'mobilitÃ© quotidienne'}, {'lang': 'fr', 'subject': 'enfant'}, {'lang': 'fr', 'subject': 'autonomie'}, {'lang': 'fr', 'subject': 'rÃ©cit personnel'}, {'lang': 'fr', 'subject': ""amitiÃ©--chez l'enfant""}, {'lang': 'fr', 'subject': 'sens et sensations'}, {'lang': 'fr', 'subject': 'perception du risque'}, {'lang': 'fr', 'subject': 'Villes -- Sons, environnement sonore'}, {'lang': 'fr', 'subject': 'itinÃ©raire'}, {'lang': 'fr', 'subject': 'matÃ©riaux de terrain Ã©ditorialisÃ©s'}, {'lang': 'fr', 'subject': 'rÃ©cit-fiction'}, {'lang': 'fr', 'subject': 'enregistrement sonore'}]",['17264818 Bytes'],['audio/mpeg']
-10.17178/emaa_para-d2s_rotation_1e071ded,Rotation excitation of para-D2S by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 rotation energy levels / 54 radiative transitions / 300 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 300 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:09.000Z,2023-12-07T15:52:09.000Z,inist.osug,jbru,"target para-D2S,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-D2S', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.8341374,JASPAR 2024 TFBS LOLA databases - Part 1,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the first part of the JASPAR 2024 LOLA databases used by the JASPAR TFBS enrichment tool. For each organism, we provide the LOLA databases for all JASPAR 2024 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly. The repository is split into different parts due to file sizes. Below are listed the different parts and the genome assemblies for which they have TFBSs: Part 1: araTha1, ce10, ce11, ci3, danRer11, dm6, sacCer3. Part 2: hg38. Part 3: mm39.",mds,True,findable,0,0,0,0,0,2023-09-14T07:29:22.000Z,2023-09-14T07:29:22.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_abs_n2_beta-n2,Absorption band list of N2 in natural solid N2 (phase beta),SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-NIR absorption band list of the isotopes of $N_2$ in natural solid $\beta-N2$,mds,True,findable,0,0,0,0,0,2023-05-08T14:52:47.000Z,2023-05-08T14:52:47.000Z,inist.sshade,mgeg,"natural N2 - phase beta,Nitrogen,Solid beta Nitrogen,$\beta$-phase,Dinitrogen,7727-37-9,N2,non polar molecular solid,molecular solids with apolar molecules,inorganic molecular solid,absorption,NIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural N2 - phase beta', 'subjectScheme': 'name'}, {'subject': 'Nitrogen', 'subjectScheme': 'name'}, {'subject': 'Solid beta Nitrogen', 'subjectScheme': 'name'}, {'subject': '$\\beta$-phase', 'subjectScheme': 'name'}, {'subject': 'Dinitrogen', 'subjectScheme': 'IUPAC name'}, {'subject': '7727-37-9', 'subjectScheme': 'CAS number'}, {'subject': 'N2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.18709/perscido.2023.12.ds403,Data repository of the paper by Schwartz et al. in Communications earth & environment,PerSCiDO,2023,,Dataset,,"This data repository provides the seismic data used in the paper by Schwartz et al. ""Role of mantle indentation in collisional deformation evidenced by deep geophysical imaging of Western Alps"". ",api,True,findable,0,0,0,0,0,2023-12-11T10:01:56.000Z,2023-12-11T10:01:56.000Z,inist.persyval,vcob,"Geology,FOS: Earth and related environmental sciences","[{'subject': 'Geology', 'subjectScheme': 'http://www.radar-projekt.org/display/Geological_Sciences'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['10 Mo'],
-10.26302/sshade/experiment_mb_20230522_0001,VNIR and SWIR spectra of terrestrial feldspathic rocks and powders (sample NR1 as an example),SSHADE/Mirabelle (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Visible Near-Infrared spectra.,mds,True,findable,0,0,0,1,0,2023-07-06T21:46:50.000Z,2023-07-06T21:46:51.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,macroscopic,bidirectional reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,Plagioclases,Alkali feldspars,Amphibole,Biotite,Orthoclase,Quartz,Calcite,Epidote,Pyroxene,Olivine,Oxides,Clinopyroxene,Volcanic glass,solid,natural terrestrial,tektosilicate,inosilicate,phyllosilicate,carbonate,sorosilicate,nesosilicate,oxide-hydroxide","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Plagioclases', 'subjectScheme': 'name'}, {'subject': 'Alkali feldspars', 'subjectScheme': 'name'}, {'subject': 'Amphibole', 'subjectScheme': 'name'}, {'subject': 'Biotite', 'subjectScheme': 'name'}, {'subject': 'Orthoclase', 'subjectScheme': 'name'}, {'subject': 'Quartz', 'subjectScheme': 'name'}, {'subject': 'Calcite', 'subjectScheme': 'name'}, {'subject': 'Epidote', 'subjectScheme': 'name'}, {'subject': 'Pyroxene', 'subjectScheme': 'name'}, {'subject': 'Olivine', 'subjectScheme': 'name'}, {'subject': 'Oxides', 'subjectScheme': 'name'}, {'subject': 'Clinopyroxene', 'subjectScheme': 'name'}, {'subject': 'Volcanic glass', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'inosilicate', 'subjectScheme': 'compound type'}, {'subject': 'phyllosilicate', 'subjectScheme': 'compound type'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'sorosilicate', 'subjectScheme': 'compound type'}, {'subject': 'nesosilicate', 'subjectScheme': 'compound type'}, {'subject': 'oxide-hydroxide', 'subjectScheme': 'compound type'}]",['56 spectra'],['ASCII']
-10.26302/sshade/experiment_soc_20170316_001,Pd K edge XAS fluorescence of 1 wt.% Pd/SiO2 at RT under He or H2 (after heating at 300C under H2),SSHADE/FAME (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-07-20T12:05:33.000Z,2021-07-20T12:05:34.000Z,inist.sshade,mgeg,"laboratory,oxide,PdO,commercial,silicate,SiO2,solid,homopolymer,Cellulose,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'oxide'}, {'subject': 'PdO'}, {'subject': 'commercial'}, {'subject': 'silicate'}, {'subject': 'SiO2'}, {'subject': 'solid'}, {'subject': 'homopolymer'}, {'subject': 'Cellulose'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['3 spectra'],['ASCII']
-10.6084/m9.figshare.c.7007130,Single-drug versus combination antimicrobial therapy in critically ill patients with hospital-acquired pneumonia and ventilator-associated pneumonia due to Gram-negative pathogens: a multicenter retrospective cohort study,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Key messages In this study including 391 critically ill patients with nosocomial pneumonia due to Gram-negative pathogens, combination therapy was not associated with a reduced hazard of death at Day 28 or a greater likelihood of clinical cure at Day 14. No over-risk of AKI was observed in patients receiving combination therapy. Background The benefits and harms of combination antimicrobial therapy remain controversial in critically ill patients with hospital-acquired pneumonia (HAP), ventilated HAP (vHAP) or ventilator-associated pneumonia (VAP) involving Gram-negative bacteria. Methods We included all patients in the prospective multicenter OutcomeRea database with a first HAP, vHAP or VAP due to a single Gram-negative bacterium and treated with initial adequate single-drug or combination therapy. The primary endpoint was Day-28 all-cause mortality. Secondary endpoints were clinical cure rate at Day 14 and a composite outcome of death or treatment-emergent acute kidney injury (AKI) at Day 7. The average effects of combination therapy on the study endpoints were investigated through inverse probability of treatment-weighted regression and multivariable regression models. Subgroups analyses were performed according to the resistance phenotype of the causative pathogens (multidrug-resistant or not), the pivotal (carbapenems or others) and companion (aminoglycosides/polymyxins or others) drug classes, the duration of combination therapy (&lt;â€‰3 orâ€‰â‰¥â€‰3Â days), the SOFA score value at pneumonia onset (&lt;â€‰7 orâ€‰â‰¥â€‰7 points), and in patients with pneumonia due to non-fermenting Gram-negative bacteria, pneumonia-related bloodstream infection, or septic shock. Results Among the 391 included patients, 151 (38.6%) received single-drug therapy and 240 (61.4%) received combination therapy. VAP (overall, 67.3%), vHAP (16.4%) and HAP (16.4%) were equally distributed in the two groups. All-cause mortality rates at Day 28 (overall, 31.2%), clinical cure rate at Day 14 (43.7%) and the rate of death or AKI at Day 7 (41.2%) did not significantly differ between the groups. In inverse probability of treatment-weighted analyses, combination therapy was not independently associated with the likelihood of all-cause death at Day 28 (adjusted odd ratio [aOR], 1.14; 95% confidence interval [CI] 0.73â€“1.77; Pâ€‰=â€‰0.56), clinical cure at Day 14 (aOR, 0.79; 95% CI 0.53â€“1.20; Pâ€‰=â€‰0.27) or death or AKI at Day 7 (aOR, 1.07; 95% CI 0.71â€“1.63; Pâ€‰=â€‰0.73). Multivariable regression models and subgroup analyses provided similar results. Conclusions Initial combination therapy exerts no independent impact on Day-28 mortality, clinical cure rate at Day 14, and the hazard of death or AKI at Day 7 in critically ill patients with mono-bacterial HAP, vHAP or VAP due to Gram-negative bacteria.",mds,True,findable,0,0,0,0,0,2024-01-04T04:43:16.000Z,2024-01-04T04:43:16.000Z,figshare.ars,otjm,"Space Science,Medicine,Pharmacology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Infectious Diseases,FOS: Health sciences,Virology,Computational Biology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",,
-10.26302/sshade/experiment_cl_20180316_01,MIR reflectance spectra of different samples of carbonaceous chondrites (pellets and fragments),SSHADE/DAYSY (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Average MIR reflectance spectra of carbonaceous chondrites, obtained by hyperspectral imaging",mds,True,findable,0,0,0,0,0,2022-06-01T21:19:59.000Z,2022-06-01T21:20:00.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix Murray,complex mineral mix,chondrules Murray,CAIs Murray,matrix Murchison,chondrules Murchison,CAIs Murchison,matrix,chondrules,CAIs,CI,bulk Orgueil,Y-793321 matrix,Y-793321 chondrules,Y-793321 CAIs,C ungrouped,B-7904 matrix,B-7904 chondrules,B-7904 CAIs,Jbilet Winselwan matrix,Jbilet Winselwan chondrules,Jbilet Winselwan CAIs,matrix MET01070,chondrules MET01070,CAIs MET01070,matrix QUE97990,chondrules QUE97990,CAIs QUE97990,CR,matrix EET92159,chondrules EET92159,CAIs EET92159,laboratory measurement,confocal reflection,micro-imaging,MIR,Mid-Infrared,normalized reflectance","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Murray'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Murray'}, {'subject': 'CAIs Murray'}, {'subject': 'matrix Murchison'}, {'subject': 'chondrules Murchison'}, {'subject': 'CAIs Murchison'}, {'subject': 'matrix'}, {'subject': 'chondrules'}, {'subject': 'CAIs'}, {'subject': 'CI'}, {'subject': 'bulk Orgueil'}, {'subject': 'Y-793321 matrix'}, {'subject': 'Y-793321 chondrules'}, {'subject': 'Y-793321 CAIs'}, {'subject': 'C ungrouped'}, {'subject': 'B-7904 matrix'}, {'subject': 'B-7904 chondrules'}, {'subject': 'B-7904 CAIs'}, {'subject': 'Jbilet Winselwan matrix'}, {'subject': 'Jbilet Winselwan chondrules'}, {'subject': 'Jbilet Winselwan CAIs'}, {'subject': 'matrix MET01070'}, {'subject': 'chondrules MET01070'}, {'subject': 'CAIs MET01070'}, {'subject': 'matrix QUE97990'}, {'subject': 'chondrules QUE97990'}, {'subject': 'CAIs QUE97990'}, {'subject': 'CR'}, {'subject': 'matrix EET92159'}, {'subject': 'chondrules EET92159'}, {'subject': 'CAIs EET92159'}, {'subject': 'laboratory measurement'}, {'subject': 'confocal reflection'}, {'subject': 'micro-imaging'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'normalized reflectance'}]",['10 spectra'],['ASCII']
-10.5281/zenodo.7224878,First Test upload,Zenodo,2022,,Audiovisual,Closed Access,Videos of the executions on the simulator Carla of the scenarios used for the experiment of an article.,mds,True,findable,0,0,0,0,0,2022-10-19T12:12:06.000Z,2022-10-19T12:12:07.000Z,cern.zenodo,cern,,,,
-10.57745/qcvyg3,Long-term monitoring of near-surface soil temperature in mountain ecosystems of the LTSER Lautaret-Oisans,Recherche Data Gouv,2023,,Dataset,,"Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the Lautaret-Galibier area of the French Alps. Data are part of a long-term monitoring programs examining the impact of climate change on snow cover dynamics, microclimate, species distribution and ecosystem functioning. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in Â°C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,62,3,0,0,0,2023-03-27T13:48:28.000Z,2023-07-18T08:18:09.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.8085467,Randomly stacked open cylindrical shells as functional mechanical energy absorber,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Experimental and simulation data for the paper entitled <em>Randomly stacked open cylindrical shells as functional mechanical energy absorber. </em> Download and unzip the AllFigureData.zip. Contact Experiments: sano@mech.keio.ac.jp Simulations: florence.bertails@inria.fr,mds,True,findable,0,0,0,0,0,2023-06-29T07:26:26.000Z,2023-06-29T07:26:26.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.24940485,Additional file 1 of Single-drug versus combination antimicrobial therapy in critically ill patients with hospital-acquired pneumonia and ventilator-associated pneumonia due to Gram-negative pathogens: a multicenter retrospective cohort study,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Supplementary tables and figures.,mds,True,findable,0,0,0,0,0,2024-01-04T04:43:15.000Z,2024-01-04T04:43:16.000Z,figshare.ars,otjm,"Space Science,Medicine,Pharmacology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Infectious Diseases,FOS: Health sciences,Virology,Computational Biology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",['399440 Bytes'],
-10.26302/sshade/experiment_lb_20191211_005,Fe K edge XAS transmission of bulk CV carbonaceous chondrites,SSHADE/GhoSST+FAME (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",raw and normalized Fe K edge XAS transmission of bulk CV carbonaceous chondrites,mds,True,findable,0,0,0,0,0,2019-12-13T13:06:18.000Z,2019-12-13T13:06:19.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,extraterrestrial,carbonaceous chondrite,CV,complex organic-mineral mix,matrix Allende IPAG,complex mineral mix,chondrules Allende IPAG,CAIs Allende IPAG,matrix Bali IPAG,chondrules Bali IPAG,CAIs Bali IPAG,matrix Grosnaja IPAG,chondrules Grosnaja IPAG,CAIs Grosnaja IPAG,matrix Efremovka IPAG,chondrules Efremovka IPAG,CAIs Efremovka IPAG,matrix Kaba IPAG,chondrules Kaba IPAG,CAIs Kaba IPAG,matrix Mokoia IPAG,chondrules Mokoia IPAG,CAIs Mokoia IPAG,matrix Leoville IPAG,chondrules Leoville IPAG,CAIs Leoville IPAG,matrix Vigarano IPAG,chondrules Vigarano IPAG,CAIs Vigarano IPAG,matrix RBT04133 IPAG,chondrules RBT04133 IPAG,CAIs RBT04133 IPAG,matrix Axtell IPAG,chondrules Axtell IPAG,CAIs Axtell IPAG,laboratory measurement,transmission,None,hard X,raw,normalized absorbance","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CV'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Allende IPAG'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Allende IPAG'}, {'subject': 'CAIs Allende IPAG'}, {'subject': 'matrix Bali IPAG'}, {'subject': 'chondrules Bali IPAG'}, {'subject': 'CAIs Bali IPAG'}, {'subject': 'matrix Grosnaja IPAG'}, {'subject': 'chondrules Grosnaja IPAG'}, {'subject': 'CAIs Grosnaja IPAG'}, {'subject': 'matrix Efremovka IPAG'}, {'subject': 'chondrules Efremovka IPAG'}, {'subject': 'CAIs Efremovka IPAG'}, {'subject': 'matrix Kaba IPAG'}, {'subject': 'chondrules Kaba IPAG'}, {'subject': 'CAIs Kaba IPAG'}, {'subject': 'matrix Mokoia IPAG'}, {'subject': 'chondrules Mokoia IPAG'}, {'subject': 'CAIs Mokoia IPAG'}, {'subject': 'matrix Leoville IPAG'}, {'subject': 'chondrules Leoville IPAG'}, {'subject': 'CAIs Leoville IPAG'}, {'subject': 'matrix Vigarano IPAG'}, {'subject': 'chondrules Vigarano IPAG'}, {'subject': 'CAIs Vigarano IPAG'}, {'subject': 'matrix RBT04133 IPAG'}, {'subject': 'chondrules RBT04133 IPAG'}, {'subject': 'CAIs RBT04133 IPAG'}, {'subject': 'matrix Axtell IPAG'}, {'subject': 'chondrules Axtell IPAG'}, {'subject': 'CAIs Axtell IPAG'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'raw'}, {'subject': 'normalized absorbance'}]",['20 spectra'],['ASCII']
-10.6084/m9.figshare.22735503,Additional file 1 of Healthcare studentsâ€™ prevention training in a sanitary service: analysis of health education interventions in schools of the Grenoble academy,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 1,mds,True,findable,0,0,0,0,0,2023-05-03T03:20:26.000Z,2023-05-03T03:20:27.000Z,figshare.ars,otjm,"Medicine,Biotechnology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['19715 Bytes'],
-10.2312/yes19.15,What Peer-review Experiences Can Offer To Early Career Scientists And To The Scientific Community,"German YES Chapter, GFZ German Research Centre for Geosciences ",2021,en,Text,Creative Commons Attribution 4.0 International,,fabricaForm,True,findable,0,0,0,0,0,2020-12-11T07:53:58.000Z,2020-12-13T16:02:22.000Z,tib.gfzbib,gfz,"APECS,Peer-review,FOS: Educational sciences,IPCC,Early career scientist","[{'subject': 'APECS'}, {'subject': 'Peer-review'}, {'subject': 'FOS: Educational sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'IPCC'}, {'subject': 'Early career scientist'}]",['pp 144-148 '],['pdf']
-10.26302/sshade/experiment_bs_20130206_001,NIR absorption coefficients of crystalline HC3N at 100K,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-04-14T07:12:22.000Z,2022-04-14T07:12:23.000Z,inist.sshade,mgeg,"laboratory,organic molecular solid,HC3N crystalline,laboratory measurement,transmission,macroscopic,NIR,Near-Infrared,absorption coefficient","[{'subject': 'laboratory'}, {'subject': 'organic molecular solid'}, {'subject': 'HC3N crystalline'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'absorption coefficient'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.7798143,Superconductor-ferromagnet hybrids for non-reciprocal electronics and detectors,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","# Data for the manuscript ""Superconductor-ferromagnet hybrids for non-reciprocal electronics and detectors"", submitted to Superconductor Science and Technology, arXiv:2302.12732. This archive contains the data for all plots of numerical data in the manuscript. ## Fig. 4 <br> Data of Fig. 4 in the WDX (Wolfram Data Exchange) format (unzip to extract the files). Contains critical exchange fields and critical thicknesses as functions of the temperature. Can be opened with Wolfram Mathematica with the command: Import[FileNameJoin[{NotebookDirectory[],""filename.wdx""}]] ## Fig. 5<br> Data of Fig. 5 in the WDX (Wolfram Data Exchange) format (unzip to extract the files). Contains theoretically calculated I(V) curves and the rectification coefficient R of N/FI/S junctions. Can be opened with Wolfram Mathematica with the command Import[FileNameJoin[{NotebookDirectory[],""filename.wdx""}]]. ## Fig. 7a<br> Data of Fig. 7a in the ascii format. Contains G in uS as a function of B in mT and V in mV. ## Fig. 7c<br> Data of Fig. 7c in the ascii format. Contains G in uS as a function of B in mT and V in mV. ## Fig. 7e<br> Data of Fig. 7e in the ascii format. Contains G in uS as a function of B in mT and V in mV. The plots 7b, d, and f are taken from the plots a, c and e as indicated in the caption of the figure. ## Fig. 8<br> Data of Fig. 8 in the ascii format. Contains G in uS as a function V in mV for several values of B in mT. ## Fig. 8 inset<br> Data of Fig. 8 inset in the ascii format. Contains G_0/G_N as a function of B in mT. ## Fig9a_b First raw Magnetic field values in T, first column voltage drop in V, <br> rest of the columns differential conductance in S ## Fig9b_FIT First raw Magnetic field values in T, first column voltage drop in V, <br> rest of the columns differential conductance in S ## Fig9c First raw Magnetic field values in T, first column voltage drop in V, <br> rest of the columns R (real number) ## Fig9c inset First raw Magnetic field values in T, odd columns voltage drop in V, <br> even columns injected current in A ## Fog9d Foist column magnetic field in T, second column conductance ration (real <br> number), sample name in the file name. ## Fig. 12<br> Data of Fig. 12 in the ascii format. Contains energy resolution as functions of temperature and tunnel resistance with current and voltage readout. ## Fig. 13<br> Data of Fig. 13 in the ascii format. Contains energy resolution as functions of (a) exchange field, (b) polarization, (c) dynes, and (d) absorber volume with different amplifier noises. ## Fig. 14<br> Data of Fig. 14 in the ascii format. Contains detector pulse current as functions of (a) temperature change (b) time with different detector parameters. <br> ## Fig. 17<br> Data of Fig. 17 in the ascii format. Contains dIdV curves as function of the voltage for different THz illumination frequency and polarization. ## Fig. 18<br> Data of Fig. 18 in the ascii format. Contains the current flowing throughout the junction as function time (arbitrary units) for ON and OFF illumination at 150 GHz for InPol and CrossPol polarization. ## Fig. 21<br> Data of Fig. 21c in the ascii format. Contains the magnitude of readout line S43 as frequency.<br> Data of Fig. 21d in the ascii format. Contains the magnitude of iKID line S21 as frequency.",mds,True,findable,0,0,0,0,0,2023-04-06T12:50:42.000Z,2023-04-06T12:50:43.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7137482,Regional-Modeling-LATMOS-IGE/WRF-Chem-Polar: WRF-Chem 4.3.3 including mercury chemistry,Zenodo,2022,,Software,Open Access,"This is a development of the WRF-Chem 4.3.3 model which includes mercury gas-phase and heterogeneous chemistry, as well as mercury re-emission from snow and sea ice. This version was extended from the previously developed WRF-Chem version (published in Marelle et al., JAMES, 2021) which included halogen chemistry and bromine surface snow and blowing snow emissions. NOTE: This is an experimental version of the release and may not be compatible with particular model options.",mds,True,findable,0,0,0,1,0,2022-10-03T08:12:37.000Z,2022-10-03T08:12:37.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_lb_20221102_001,Average Raman spectra (Î» = 532 nm) obtained on fragments of individual particles and aggregates from Chamber A and Chamber C Ryugu samples (Hayabusa2 mission),SSHADE/GhoSST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Average Raman spectra obtained on several fragments of Ryugu Chamber A and Chamber C samples A0106-4, A0106-6, A0106-23, A0108-6, A0108-10, A0108-18, A0108-61, C0109-5, C0109-9, C0109-12, C0057-6 and C0002",mds,True,findable,0,0,1,0,0,2023-10-11T08:48:26.000Z,2023-10-11T08:48:26.000Z,inist.sshade,mgeg,"laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,Raman scattering intensity,grain 4 from the aggregate A0106,grain 6 from the aggregate A0106,grain 23 from the aggregate A0106,grain 6 from the aggregate A0108,grain 10 from the aggregate A0108,grain 18 from the aggregate A0108,grain 61 from the aggregate A0108,grain 5 from the aggregate C0109,grain 9 from the aggregate C0109,grain 12 from the aggregate C0109,piece #6 from the individual grain C0057,piece of individual grain C0002,extraterrestrial,planetary,complex organic-mineral mix","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'Raman scattering', 'subjectScheme': 'main'}, {'subject': 'microscopy', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'Raman scattering intensity', 'subjectScheme': 'variables'}, {'subject': 'grain 4 from the aggregate A0106', 'subjectScheme': 'name'}, {'subject': 'grain 6 from the aggregate A0106', 'subjectScheme': 'name'}, {'subject': 'grain 23 from the aggregate A0106', 'subjectScheme': 'name'}, {'subject': 'grain 6 from the aggregate A0108', 'subjectScheme': 'name'}, {'subject': 'grain 10 from the aggregate A0108', 'subjectScheme': 'name'}, {'subject': 'grain 18 from the aggregate A0108', 'subjectScheme': 'name'}, {'subject': 'grain 61 from the aggregate A0108', 'subjectScheme': 'name'}, {'subject': 'grain 5 from the aggregate C0109', 'subjectScheme': 'name'}, {'subject': 'grain 9 from the aggregate C0109', 'subjectScheme': 'name'}, {'subject': 'grain 12 from the aggregate C0109', 'subjectScheme': 'name'}, {'subject': 'piece #6 from the individual grain C0057', 'subjectScheme': 'name'}, {'subject': 'piece of individual grain C0002', 'subjectScheme': 'name'}, {'subject': 'extraterrestrial', 'subjectScheme': 'family'}, {'subject': 'planetary', 'subjectScheme': 'origin'}, {'subject': 'complex organic-mineral mix', 'subjectScheme': 'compound type'}]",['12 spectra'],['ASCII']
-10.5281/zenodo.7802745,The GRETOBAPE gas-phase reaction network: the importance of being exothermic,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Zip file containing all the network, codes and database used and/or obtained in our accepted article for publication in ApJS, 2023. The folder structure is illustrated in the ReadMe.txt file.",mds,True,findable,0,0,0,0,0,2023-04-05T15:12:08.000Z,2023-04-05T15:12:08.000Z,cern.zenodo,cern,"reaction network,astrochemistry","[{'subject': 'reaction network'}, {'subject': 'astrochemistry'}]",,
-10.5281/zenodo.7560290,Ressources for End-to-End French Text-to-Speech Blizzard challenge,Zenodo,2023,fr,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Here are 289 chapters of 5 audiobooks from Librivox (51:12) read by Nadine Eckert-Boulet (NEB): Madame Bovary (MB) by Gustave Flaubert (FL) - 3 volumes, 35 chapters<br> (original wavs; text) Les mystÃ¨res de Paris (LMP) by Eugene Sue (ES) - 4 volumes, 83 chapters (original wavs1, wavs2, wavs3; text1, text2, text3) Les tribulations d'un chinois en Chine (TCC) by Jules Verne (JV) - 1 volume, 22 chapters (original wavs; text) La fille du pirate (LFDP) by Henri Ã‰mile Chevalier (EC) - 7 volumes, 121 chapters (original wavs, text) La vampire (VAMP) by Paul FÃ©val (PF) - 1 volume, 28 chapters (original wavs, text) and 2515 utterances (2:03) read by another female French speaker AurÃ©lie Derbier (AD): 1608 utterances extracted from various books (DIVERS_BOOK_AD*) 907 transcripts of the sessions of the French parliament (DIVERS_PARL_01*) Each .wav file (sampled at 22050Hz) corresponds to one entire chapter. The format of the filenames is:<br> {author's acronym}_{book's acronym}_{reader's acronym}_{volume's number}_{chapter's number} The NEB_train.csv file gives text and phonetic alignments (essentially for MB and LMP) for utterances in 4 fields separated by '|':<br> {filename}|{start_ms}|{end_ms}|{text or phonetic content}. Most utterances are separated by at least a pause of 400ms. The intervals [start_ms:end_ms] comprise leading and trailing silences of 130ms (since wavs are entire chapters, these silences are ""true"" ambient silences). Same for AD_train.csv. When phonetic alignment has been performed, 2 additional fields have been added: {aligned phones}|{durations in ms}. Each input character or phone has a corresponding aligned phone and a duration. Note that all aligned utterances start and end with an aligned phone of 130ms. The set of aligned phones comprises: The set of input phones The silence: '__' The symbol '_' for silent characters, e.g. ""chat"" is aligned with 's^ _ a _' 29 combined aligned phones ('a&amp;i', 'a&amp;j', 'b&amp;q', 'd&amp;q','d&amp;z', 'd&amp;z^', 'f&amp;q', 'g&amp;q', 'g&amp;z', 'j&amp;i', 'j&amp;u', 'j&amp;q', 'i&amp;j', 'k&amp;q', 'k&amp;s', 'k&amp;s&amp;q', 'l&amp;q', 'm&amp;q', 'n&amp;q', 'r&amp;w', 'r&amp;q', 's&amp;q', 't&amp;q', 't&amp;s', 't&amp;s^', 'w&amp;a', 'z&amp;q', 'p&amp;q') that align to only one character, e.g. ""expatrier"" is aligned with 'e^ k&amp;s p a t r i&amp;j e _' Text is in UTF8. 'Â«Â»','Â¬', '~','""""','()','[]' are respectively used for speaking quotes, turn switches, three dots, quoted expression, aside quotes, notes. Because of rare occurrences, 'Ã¶' has been transcribed as 'oe'. Paragraphs (two consecutive carriage returns in the original text) are cued by a special character 'Â§'. It usually ends an utterance but could be used within an utterance if its associated pause is too short. When available, phonetic content is given per word in curly brackets '{}'. We use 39 phonetic symbols: <strong>oral vowels</strong>: a (f<strong><em>a</em></strong>), e (f<em><strong>Ã©e</strong></em>), e^ (f<em><strong>ait</strong></em>), x (f<em><strong>eu</strong></em>), x^ (c<em><strong>oeu</strong></em>r), i (r<em><strong>iz</strong></em>), y (f<em><strong>ut</strong></em>), u (f<em><strong>ou</strong></em>), o (f<em><strong>aux</strong></em>), o^ (p<strong><em>o</em></strong>rc) <strong>schwa</strong>: q (gag<strong><em>e</em></strong>) <strong>nasal vowels</strong>: a~ (r<strong><em>an</em></strong>g), e~ (f<em><strong>in</strong></em>), x~ (<strong><em>un</em></strong>), o~ (r<em><strong>on</strong></em>d) <strong>semi-vowels</strong>: h (h<em><strong>u</strong></em>it), w (<strong><em>ou</em></strong>ate), j (h<em><strong>i</strong></em>er) <strong>consonants</strong>: p (<em><strong>p</strong></em>as), t (<strong><em>t</em></strong>as), k (<em><strong>c</strong></em>as), b (<strong><em>b</em></strong>as), d (<em><strong>d</strong></em>os), g (<em><strong>g</strong></em>ars), f (<em><strong>f</strong></em>aux), s (<strong><em>s</em></strong>ot) , s^ (<strong><em>ch</em></strong>at), v (<strong><em>v</em></strong>u), z (<strong><em>z</em></strong>ut), z^ (<em><strong>j</strong></em>us), r (<strong><em>r</em></strong>iz), l (<em><strong>l</strong></em>a), m (<strong><em>m</em></strong>a), n (<strong><em>n</em></strong>on), n~ (oi<strong><em>gn</em></strong>on), ng (campi<em><strong>ng</strong></em>)",mds,True,findable,0,0,0,0,0,2023-01-23T09:41:39.000Z,2023-01-23T09:41:40.000Z,cern.zenodo,cern,"Audiobooks,text,phonetics,speech synthesis,end-to-end","[{'subject': 'Audiobooks'}, {'subject': 'text'}, {'subject': 'phonetics'}, {'subject': 'speech synthesis'}, {'subject': 'end-to-end'}]",,
-10.5281/zenodo.7114168,Databases related to molecular biophysics 09-2022,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","A survey and comparative analysis of the technical provision of existing databases that provide for archival of data from molecular biophysics experiments and closely related areas has been carried out. The analysis demonstrates that for many methods provided by MOSBRI there is no specialist provision for data archival such as would adequately satisfy FAIR principles. In particular only a small number of databases containing molecular biophysics derived data use standard data formats with sufficiently rich metadata that enables interoperable data reuse. Where relevant molecular biophysics databases do exist, and in the closely related area of structural biology, there is a clear trend toward complete deposition of the experiment life cycle (i.e., primary experimental data, analysis procedure and interpretation), which will need to be incorporated into plans for the future MOSBRI data repository. The survey also highlights many resources that would have to be linked with any future MOSBRI data repository, to ensure findability and interoperability.",mds,True,findable,0,0,0,0,0,2022-09-26T19:06:57.000Z,2022-09-26T19:06:57.000Z,cern.zenodo,cern,"database,biophysics,fair,MOSBRI","[{'subject': 'database'}, {'subject': 'biophysics'}, {'subject': 'fair'}, {'subject': 'MOSBRI'}]",,
-10.17178/cryobsclim.clb.muzelle,"Muzelle, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate â€“ Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:37.000Z,2018-04-09T10:16:37.000Z,inist.osug,jbru,"Wind speed,Wind direction,Air temperature,Snow depth","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Air temperature', 'subjectScheme': 'main'}, {'subject': 'Snow depth', 'subjectScheme': 'main'}]",,['CSV']
-10.5281/zenodo.6505500,ThoFeOne: Python 1D tools for the Thomas-Fermi self-consistent problem,Zenodo,2022,,Software,"BSD 2-Clause FreeBSD License,Open Access",First working version of the simulator. Contains fixed (constant) mesh. See github website for latest version and documentation.,mds,True,findable,0,0,1,0,0,2022-04-29T15:50:07.000Z,2022-04-29T15:50:07.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_raman_natrite,Raman bandlist of Natrite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of Natrite at 295K,mds,True,findable,0,0,0,0,0,2023-09-06T19:52:03.000Z,2023-09-06T19:52:03.000Z,inist.sshade,mgeg,"Natrite,Sodium cation,Carbonate anion,Sodium(2+) cation,Na2+,(CO3)2-,Na2CO3,Natrite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Natrite group,14.01.06.01,05.AA.10,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Natrite', 'subjectScheme': 'name'}, {'subject': 'Sodium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Sodium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Na2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'Na2CO3', 'subjectScheme': 'formula'}, {'subject': 'Natrite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Natrite group', 'subjectScheme': 'Dana group'}, {'subject': '14.01.06.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AA.10', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.26302/sshade/bandlist_raman_otavite,Raman bandlist of natural Otavite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Otavite at 295K,mds,True,findable,0,0,0,0,0,2023-08-14T08:34:35.000Z,2023-08-14T08:34:36.000Z,inist.sshade,mgeg,"Otavite,Cadmium cation,Carbonate anion,Cadmium(2+) cation,22537-48-0,513-78-0,Cd2+,(CO3)2-,CdCO3,Otavite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Calcite group (Trigonal: R-3c),14.01.01.07,05.AB.05,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Otavite', 'subjectScheme': 'name'}, {'subject': 'Cadmium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Cadmium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '22537-48-0', 'subjectScheme': 'CAS number'}, {'subject': '513-78-0', 'subjectScheme': 'CAS number'}, {'subject': 'Cd2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'CdCO3', 'subjectScheme': 'formula'}, {'subject': 'Otavite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Calcite group (Trigonal: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.01.07', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5281/zenodo.6221153,Non-local eddy-mean Kinetic Energy transfers,Zenodo,2022,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","Animation of eddy-mean Kinetic Energy transfers during the decorrelation phase of 120-day long, 20-member ensemble simulations of the Western Mediterranean basin. The three terms are associated with the kinetic energy equation of the ensemble mean flow (left), that of the turbulent flow (center) and that of the ensemble mean of the full flow (right). The latter is associated with non-local eddy-mean KE transfers.",mds,True,findable,0,0,0,0,0,2022-02-22T09:15:24.000Z,2022-02-22T09:15:24.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10004947,Model Counting Competition 2020: Full Instance Set,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"The dataset contains all instances that the organizers of the competition received or collected during the preparation phaseÂ of the Model Counting Competition 2020. The dataset includes short benchmark descriptions (00_description.{pdf,txt,md}) by the submitters/collectors (00_authors.txt).
-For a more details, we refer to the reportFichte, Hecher, Hamiti: The Model Counting Competition 2020.
------Changelog:
-2023-10-17 (v2): We updated the instances to the most recent competition format in preparation for the report on the competitions 2021-2023. Note that the old instance set contained various instances with incorrect headers (less variables or clauses than in the actual data), unterminated lines, or a few broken lines. We corrected these instances by scripts that are available on github (daajoe:mc_format_tools).",api,True,findable,0,0,0,0,0,2024-02-15T17:44:01.000Z,2024-02-15T17:44:02.000Z,cern.zenodo,cern,,,,
-10.25647/liepp.wp.36,"Better residential than ethnic discrimination! Reconciling audit's findings and interviews' findings in the Parisian housing market (LIEPP Working Paper, nÂ°36)",Sciences Po - LIEPP,2015,en,Other,,"This article investigates discrimination and the interplay of residential and ethnic stigma on the French housing market using two different methods, paired-testing au- dit study of real estate agencies and face-to-face interviews with real estate agents. The juxtaposition of their findings leads to a paradox: interviews reveal high levels of ethnic discrimination but little to none residential discrimination, while the audit study shows that living in deprived suburbs is associated with a lower probability of obtaining an appointment for a housing vacancy but ethnic origin (signaled by the candidateâ€™s name) has no significant discriminatory effect. We have three priors po- tentially consistent with this apparent paradox and re-evaluate their likelihood in light of these findings: (i) agents make use of any statistical information about insolvency, including residency; (ii) there are two distinct and independent taste discriminations, one about space and one about ethnicity; (iii) these two dimensions exist and comple- ment each other.",fabricaForm,True,findable,0,0,0,0,0,2022-03-17T11:03:38.000Z,2022-03-17T11:03:38.000Z,vqpf.dris,vqpf,FOS: Social and economic geography,"[{'subject': 'FOS: Social and economic geography', 'valueUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'schemeUri': 'http://www.oecd.org/science/inno', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.6073/pasta/b473b048846875b721d139416b8fd882,Global Lake Ecological Observatory Network: Long term chloride concentration from 529 lakes and reservoirs around North America and Europe: 1940-2016,Environmental Data Initiative,2017,en,Dataset,,"This dataset compiles long term chloride concentration data from 529 freshwater lakes and reservoirs in Europe and North America. All lakes in the dataset had greater than or equal to ten years of data. For each lake the following landscape and climate metrics were calculated: mean annual precipitation, mean monthly air temperatures, road density and impervious surface in 100 to 1500 m buffer zones, sea salt deposition. The dataset includes three files: 1) Descriptive data of lake sites (physical lake metrics, climate, land-cover characteristics), 2) Chloride time-series, and 3) GIS shapefiles.",mds,True,findable,0,0,1,1,0,2017-05-10T22:08:13.000Z,2017-05-10T22:08:14.000Z,edi.edi,edi,,,,
-10.5281/zenodo.10201545,"Dataset for the paper ""Largest aftershock nucleation driven by afterslip during the 2014 Iquique sequence""",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Dataset for the following paperÂ 
-Yuji Itoh, Anne Socquet, and Mathilde Radiguet, Largest aftershock nucleation driven by afterslip during the 2014 Iquique sequence, Geophysical Research Letters, 2023GL104852
-See readme.txt files for details about the files and the contact informaton. Uncompressing produces files with ~ 500 MB in total.",api,True,findable,0,0,0,1,0,2023-12-05T12:30:45.000Z,2023-12-05T12:30:45.000Z,cern.zenodo,cern,"Afterslip,GPS,High-rate GPS,Iquique,Chile,Earthquake,subduction zone","[{'subject': 'Afterslip'}, {'subject': 'GPS'}, {'subject': 'High-rate GPS'}, {'subject': 'Iquique'}, {'subject': 'Chile'}, {'subject': 'Earthquake'}, {'subject': 'subduction zone'}]",,
-10.5281/zenodo.7275468,GNU Data Language 1.0: a free/libre and open-source drop-in replacement for IDL/PV-WAVE,Zenodo,2022,,Software,"Creative Commons Attribution 4.0 International,Open Access",GNU Data Language (github.com/gnudatalanguage/gdl) release for the Journal of Open Source Software manuscript.,mds,True,findable,0,0,0,0,0,2022-11-03T04:54:19.000Z,2022-11-03T04:54:20.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4923680,Data for chemical tuning of spin clock transitions in molecular monomers based on nuclear spin-free Ni(ii),Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Sets of data supporting all figures from the related publication. A list of files and information on how they have been processed are given in a separate sheet.,mds,True,findable,0,0,0,0,0,2021-06-10T15:16:06.000Z,2021-06-10T15:16:07.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.cv45n3b,"Data from: Circadian periodicity in space use by ungulates of temperate regions: how much, when, and why?",Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"1. When they visit and revisit specific areas, animals may reveal what they need from their home range and how they acquire information. The temporal dimension of such movement recursions, i.e., periodicity, is however rarely studied, yet potentially bears a species, population, or individual-specific signature. 2. A recent method allows estimating the contribution of periodic patterns to the variance in a movement path. We applied it to 709 individuals from 5 ungulate species, looking for species signatures in the form of seasonal variation in the intensity of circadian patterns. 3. Circadian patterns were commonplace in the movement tracks, but the amount of variance they explained was highly variable among individuals. It increased in intensity during spring and summer, when key resources were spatially segregated, and decreased during winter, when food availability was more uniformly low. Other periodicity-inducing mechanisms supported by our comparison of species- and sex-specific patterns involve young anti-predator behavior, territoriality, and behavioral thermoregulation. 4. Model-based continuous-time movement metrics represent a new avenue for researchers interested in finding individual-, population-, or species-specific signatures in heterogeneous movement databases featuring various study designs and sampling resolutions. However, we observed large amounts of individual variation, so comparative analyses should ideally use both GPS and animal-borne loggers to augment the discriminatory power; and be based on large samples. We briefly outline potential uses of the intensity of circadian patterns as a metric for the study of animal personality and community ecology.",mds,True,findable,204,16,1,1,0,2018-05-11T13:19:14.000Z,2018-05-11T13:19:15.000Z,dryad.dryad,dryad,"Capra ibex,Environmental cycles,ovis musimon,Cervus elaphus,spectral analysis,rupicapra rupicapra,Capreolus capreolus","[{'subject': 'Capra ibex'}, {'subject': 'Environmental cycles'}, {'subject': 'ovis musimon'}, {'subject': 'Cervus elaphus'}, {'subject': 'spectral analysis'}, {'subject': 'rupicapra rupicapra'}, {'subject': 'Capreolus capreolus'}]",['393636 bytes'],
-10.15778/resif.ya2009,"UNDERVOLC experiment, 2009-2011, code YA (Understanding volcanic processes)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2014,en,Other,"Open Access,Creative Commons Attribution 4.0 International","UnderVolc is a broadband seismic experiment that recorded 5 eruptions of Piton de la Fournaise Volcano, La RÃ©union island from 2009 to 2011.",mds,True,findable,0,0,0,1,0,2016-05-18T15:51:26.000Z,2016-05-18T15:51:26.000Z,inist.resif,vcob,"RÃ©union Hotspot,Piton de la Fournaise volcano","[{'subject': 'RÃ©union Hotspot'}, {'subject': 'Piton de la Fournaise volcano'}]",,
-10.6084/m9.figshare.24953169,"Additional file 1 of Vitamin E-enriched medium cross-linked polyethylene in total knee arthroplasty (VIKEP): clinical outcome, oxidation profile, and wear analysis in comparison to standard polyethyleneâ€”study protocol for a randomized controlled trial",figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1.Â WHO Trial Registration Data Set (Version 1.3.1)Â and study center information.,mds,True,findable,0,0,0,0,0,2024-01-06T04:41:08.000Z,2024-01-06T04:41:08.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,Cancer,Hematology,Virology","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Virology'}]",['48627 Bytes'],
-10.6084/m9.figshare.12886126,Additional file 1 of Epidural analgesia in ICU chest trauma patients with fractured ribs: retrospective study of pain control and intubation requirements,figshare,2020,,Image,Creative Commons Attribution 4.0 International,Additional file 1: Figure S1. Patient flow chart.,mds,True,findable,0,0,1,1,0,2020-08-28T04:02:56.000Z,2020-08-28T04:02:58.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Neuroscience,Immunology,FOS: Clinical medicine,Science Policy,Mental Health,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}]",['47468 Bytes'],
-10.5281/zenodo.10485583,"Fig. 6 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016,,Image,License Not Specified,"Fig. 6. Characterization of ceQORH properties with long-chain Oi,Î²-unsaturated ketone with a oxygenated substituent in position Î³. (A) ceQORH activity as a function of trans- 1,4-diphenyl-2-butene-1,4-dione concentration. k is 5.5 Â± 0.6 s â€“1, K is 14 Â± 3.5 ÂµM. (B) As a function of trans-EKODE(E)-IB concentration. k is 0.5 Â± 0.1 s â€“1, K is 3 Â± 1 ÂµM. cat M cat M (C) As a function of Æ³-ketol 18:1 concentration. k is 6 Â± 0.4 s â€“1, K is 14 Â± 3 ÂµM. (D) As a function of Æ³-ketol-18:2 concentration. k is 3 Â± 0.34 s â€“1, K is 10 Â± 3 ÂµM. (E) cat M cat M ceQORH activity as a function of 10-keto-9,13-diol concentration. k is 0.2 Â± 0.03 s â€“1, K is 3 Â± 1.4 ÂµM. (F) ceQORH activity as a function of traumatin concentration; The cat M apparent affinity was too low to measure KM and kcat parameters (see Table 1).",api,True,findable,0,0,0,0,0,2024-01-11T04:59:46.000Z,2024-01-11T04:59:46.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.26302/sshade/experiment_kd_20170822,"Mass absorption coefficient spectra (cm2/g) of amorphous silicate Mg(1-x)Fe(x).SiO3, x=0.1, 0.2, 0.3 and 0.4, at 10 to 300 K in the 5 - 1000 Âµm range",SSHADE/STOPCODA (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mass absorption coefficient spectra (cm2/g) of amorphous silicate $Mg_{(1-x)}Fe_x.SiO_3$, x=0.1, 0.2, 0.3 and 0.4, at 10 to 300 K in the 5 - 1000 Âµm range (MIR to sub-mm)",mds,True,findable,0,0,0,0,0,2021-02-05T17:26:36.000Z,2021-02-05T17:26:37.000Z,inist.sshade,mgeg,"solid,laboratory,non-oxide ceramic,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1,commercial,homopolymer,Polyethylene HDPE,bromide,Potassium bromide KBr,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.2,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.3,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.4,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,sub-mm,Sub-millimeter,absorption coefficient","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'non-oxide ceramic'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1'}, {'subject': 'commercial'}, {'subject': 'homopolymer'}, {'subject': 'Polyethylene HDPE'}, {'subject': 'bromide'}, {'subject': 'Potassium bromide KBr'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.2'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.3'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.4'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'sub-mm'}, {'subject': 'Sub-millimeter'}, {'subject': 'absorption coefficient'}]",['20 spectra'],['ASCII']
-10.17178/draixbleone_gal_ain_precip_1920,Precipitation data at the Ainac station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This precipitation data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:34.000Z,2020-09-15T15:58:35.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}]",,['CSV']
-10.5281/zenodo.6962616,On the formulation and implementation of extrinsic cohesive zone models with contact - codes,Zenodo,2022,en,Software,"Apache License 2.0,Open Access","This data set contains the codes necessary to run the simulations described in the paper ""On the formulation and implementation of extrinsic cohesive zone models with contact"", published in Computer Methods in Applied Mechanics and Engineering: https://doi.org/10.1016/j.cma.2022.115545 The codes are also available in a GitHub repository (which is the recommended method of obtaining them): https://github.com/nickcollins-craft/On-the-formulation-and-implementation-of-extrinsic-cohesive-zone-models-with-contact<br> <br> In order to run the codes, the user first requires a working installation of Python 3 (the codes were run on Python 3.8.13). We strongly recommend using Anaconda to manage the installation: https://www.anaconda.com/products/distribution<br> Then, the user must install meshio (the codes were run on meshio 5.3.0): https://github.com/nschloe/meshio<br> Separately, the user must also install gmsh (the codes were run on Gmsh 4.8.1): https://gmsh.info/<br> Finally, the user must also install Siconos (the codes were run on Siconos 4.4.0): https://nonsmooth.gricad-pages.univ-grenoble-alpes.fr/siconos/<br> <br> Then, those codes that call the Siconos software can be run by typing ""siconos &lt;name_of_code.py&gt;"" and pressing enter while in the working directory. All other codes can be run by typing ""python &lt;name_of_code.py&gt;"" and pressing enter while in the working directory.<br> <br> Users of this software should also cite each software listed above where appropriate.<br> <br> Two of the codes (""DCB_mesh_and_end_plot.py"" and ""Rhombus_mesh_and_end_plot.py"") also require images that are included in the related repository containing the output data: https://doi.org/10.5281/zenodo.6939154<br> <br> Contact: nicholas[dot]collins-craft[at]inria[dot]fr",mds,True,findable,0,0,1,1,0,2022-08-04T12:30:44.000Z,2022-08-04T12:30:44.000Z,cern.zenodo,cern,"Extrinsic cohesive zone,Finite element analysis,Dynamic crack propagation,Non-smooth mechanics","[{'subject': 'Extrinsic cohesive zone'}, {'subject': 'Finite element analysis'}, {'subject': 'Dynamic crack propagation'}, {'subject': 'Non-smooth mechanics'}]",,
-10.5281/zenodo.1173088,Results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison,Zenodo,2018,en,Dataset,"Creative Commons Attribution Non Commercial 4.0 International,Open Access","This archive provides the forcing data and ice sheet model output produced as part of the publication ""Design and results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison"", published in The Cryosphere, https://www.the-cryosphere.net/12/1433/2018/ Goelzer, H., Nowicki, S., Edwards, T., Beckley, M., Abe-Ouchi, A., Aschwanden, A., Calov, R., Gagliardini, O., Gillet-Chaulet, F., Golledge, N. R., Gregory, J., Greve, R., Humbert, A., Huybrechts, P., Kennedy, J. H., Larour, E., Lipscomb, W. H., Le clecÂ´h, S., Lee, V., Morlighem, M., Pattyn, F., Payne, A. J., Rodehacke, C., RÃ¼ckamp, M., Saito, F., Schlegel, N., Seroussi, H., Shepherd, A., Sun, S., van de Wal, R., and Ziemen, F. A.: Design and results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison, The Cryosphere, 12, 1433-1460, 2018, doi:10.5194/tc-12-1433-2018. Contact: Heiko Goelzer, h.goelzer@uu.nl Further information on ISMIP6 and initMIP-Greenland can be found here:<br> http://www.climate-cryosphere.org/activities/targeted/ismip6<br> http://www.climate-cryosphere.org/wiki/index.php?title=InitMIP-Greenland Users should cite the original publication when using all or part of the data. <br> In order to document CMIP6â€™s scientific impact and enable ongoing support of CMIP, users are also obligated to acknowledge CMIP6, ISMIP6 and the participating modelling groups. <br> *** Important note ***<br> For consistency with future ISMIP6 intercomparison exercises and some observational data sets, we have re-gridded all output to a diagnostic grid following the EPSG:3413 specifications, which differs from the grid originally used to distribute the forcing data. We also provide the forcing data conservatively interpolated to the new grid. <br> Archive overview<br> ----------------<br> README.txt - this information dSMB.zip - The original surface mass balance anomaly forcing data and description<br> dSMB/<br> dsmb_01B13_ISMIP6_v2.nc<br> dsmb_05B13_ISMIP6_v2.nc<br> dsmb_10B13_ISMIP6_v2.nc<br> dsmb_20B13_ISMIP6_v2.nc<br> README_dSMB_v2.txt dSMB_epsg3413.zip - The surface mass balance anomaly forcing data and description, interpolated to the new grid on EPSG:3413<br> dSMB_epsg3413/<br> dsmb_01e3413_ISMIP6_v2.nc<br> dsmb_05e3413_ISMIP6_v2.nc<br> dsmb_10e3413_ISMIP6_v2.nc<br> dsmb_20e3413_ISMIP6_v2.nc<br> README_dSMB_v2_epsg3413.txt &lt;group&gt;_&lt;model&gt;_&lt;experiment&gt;.zip - The model output per group, model and experiment (init, ctrl, asmb)<br> &lt;group1&gt;_&lt;model1&gt;_init/<br> acabf_GIS_&lt;group1&gt;_&lt;model1&gt;_init.nc<br> ...<br> &lt;group1&gt;_&lt;model1&gt;_ctrl/<br> acabf_GIS_&lt;group1&gt;_&lt;model1&gt;_ctrl.nc<br> ...<br> &lt;group1&gt;_&lt;model1&gt;_asmb/<br> acabf_GIS_&lt;group1&gt;_&lt;model1&gt;_asmb.nc<br> ... &lt;group1&gt;_&lt;model2&gt;_init/<br> ...<br> &lt;group1&gt;_&lt;model2&gt;_ctrl/<br> ...<br> &lt;group1&gt;_&lt;model2&gt;_asmb/<br> ... &lt;group2&gt;_&lt;model1&gt;_init/<br> ...<br> &lt;group2&gt;_&lt;model1&gt;_ctrl/<br> ... <br> &lt;group2&gt;_&lt;model1&gt;_asmb/ ... The following script may be used to download the content of the archive. #!/bin/bash<br> wget https://zenodo.org/record/1173088/files/README.txt<br> wget https://zenodo.org/record/1173088/files/dSMB_epsg3413.zip<br> wget https://zenodo.org/record/1173088/files/dSMB.zip<br> <br> for amodel in ARC_PISM AWI_ISSM1 AWI_ISSM2 BGC_BISICLES1 BGC_BISICLES2 BGC_BISICLES3 DMI_PISM1 DMI_PISM2 DMI_PISM3 DMI_PISM4 DMI_PISM5 IGE_ELMER1 IGE_ELMER2 ILTS_SICOPOLIS ILTSPIK_SICOPOLIS IMAU_IMAUICE1 IMAU_IMAUICE2 IMAU_IMAUICE3 JPL_ISSM LANL_CISM LSCE_GRISLI MIROC_ICIES1 MIROC_ICIES2 MPIM_PISM UAF_PISM1 UAF_PISM2 UAF_PISM3 UAF_PISM4 UAF_PISM5 UAF_PISM6 UCIJPL_ISSM ULB_FETISH1 ULB_FETISH2 VUB_GISM1 VUB_GISM2; do wget https://zenodo.org/record/1173088/files/${amodel}_init.zip<br> wget https://zenodo.org/record/1173088/files/${amodel}_ctrl.zip<br> wget https://zenodo.org/record/1173088/files/${amodel}_asmb.zip done",mds,True,findable,4,0,1,0,0,2018-05-25T09:34:51.000Z,2018-05-25T09:34:52.000Z,cern.zenodo,cern,"Model output,ISMIP6,intercomparison,Ice sheet model,Greenland ice sheet,initMIP","[{'subject': 'Model output'}, {'subject': 'ISMIP6'}, {'subject': 'intercomparison'}, {'subject': 'Ice sheet model'}, {'subject': 'Greenland ice sheet'}, {'subject': 'initMIP'}]",,
-10.5281/zenodo.4925909,Increased functional connectivity of the intraparietal sulcus underlies the attenuation of numerosity estimations for self-generated words,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Description of the dataset: Healthy participants imaging data (N=25). Data set includes MPRAGE, field map and 3 runs of task fMRI. Data is organized in BIDS format. Nifti zipped files are uploaded together with corresponding json and tsv files describing the sequence and task events. json files describing the study sample and details of the task are included. Abstract of the study: Previous studies have shown that self-generated stimuli in auditory, visual, and somatosensory domains are attenuated, producing decreased behavioral and neural responses compared to the same stimuli that are externally generated. Yet, whether such attenuation also occurs for higher-level cognitive functions beyond sensorimotor processing remains unknown. In this study, we assessed whether cognitive functions such as numerosity estimations are subject to attenuation in 56 healthy participants (32 women). We designed a task allowing the controlled comparison of numerosity estimations for self (active condition) and externally (passive condition) generated words. Our behavioral results showed a larger underestimation of self- compared to externally-generated words, suggesting that numerosity estimations for self-generated words are attenuated. Moreover, the linear relationship between the reported and actual number of words was stronger for self-generated words, although the ability to track errors about numerosity estimations was similar across conditions. Neuroimaging results revealed that numerosity underestimation involved increased functional connectivity between the right intraparietal sulcus and an extended network (bilateral supplementary motor area, left inferior parietal lobule and left superior temporal gyrus) when estimating the number of self vs. externally generated words. We interpret our results in light of two models of attenuation and discuss their perceptual versus cognitive origins.",mds,True,findable,0,0,0,0,0,2021-06-15T10:14:46.000Z,2021-06-15T10:14:47.000Z,cern.zenodo,cern,"fMRI, BOLD, numerosity, attenuation","[{'subject': 'fMRI, BOLD, numerosity, attenuation'}]",,
-10.5281/zenodo.8363118,Bulk chemical composition of rock samples used to calculate their seismic velocity at lower crustal conditions,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These data are linked to a published study, whose aim is to compare the seismic velocity variations, derived from tomographic models (here the CIFALPS profile in the Alps, derived from Nouibat et al., 2022) and interpreted as rock transformations, with the seismic velocities of field samples. One way to predict seismic velocity at lower crustal conditions is to consider natural rocks as isotropic and to calculate their seismic properties from the relative abundance of mineral phases using their acknowledged properties (Abers and Hacker, 2016). In this process, the bulk chemical composition of the samples constitutes the starting data for this study. The subsequent work is based solely on thermodynamic models (here mainly using Holland and Powel, 1998 database) and the physical properties of the mineral phases (database from Abers and Hacker, 2016).",mds,True,findable,0,0,0,1,0,2023-09-20T11:07:28.000Z,2023-09-20T11:07:29.000Z,cern.zenodo,cern,"chemical composition, seismic velocity, lower crustal conditions, Alps","[{'subject': 'chemical composition, seismic velocity, lower crustal conditions, Alps'}]",,
-10.6084/m9.figshare.16786759,Additional file 3 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 3. WHO Trial Registration Dataset.,mds,True,findable,0,0,16,1,0,2021-10-12T03:42:01.000Z,2021-10-12T03:42:02.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['29546 Bytes'],
-10.17178/amma-catch.ae.h2oflux_odc,"Surface flux dataset (including meteorological data, radiative budget, surface energy, water vapor and carbon fluxes), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sudanian climate. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:52.000Z,2018-03-16T15:36:52.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, Sudanian vegetation, evapo-transpiration, Sudanian hydrology,Sudanian climate,Wind Speed,Net Radiation at height 18 m,Incoming Shortwave Radiation at height 18 m,Relative Humidity at height 18 m,Outgoing Shortwave Radiation at height 18 m,Soil Temperature at depth 10 cm (loc. c),Wind Direction at height 18 m,Air Pressure,Wind Direction at height 5 m,Sensible Heat Flux,Air Pressure at height 5 m,Ventilated Relative Humidity,Soil Temperature at depth 10 cm (loc. a),Relative Humidity,Standard Deviation of Wind Direction at height 18 m,Standard Deviation of Wind Direction at height 15 m,Incoming Shortwave Radiation at height 5 m,Outgoing Shortwave Radiation at height 5 m,Air Temperature at height 5 m,Net Radiation at height 5 m,Ventilated Air Temperature,Air Temperature at height 15 m,Outgoing Longwave Radiation,Wind Speed at height 15 m,Relative Humidity at height 15 m,Standard Deviation of Wind Direction at height 5 m,Incoming Longwave Radiation at height 18 m,Incoming Shortwave Radiation,Carbon Dioxide Mean Concentration,Soil Moisture/Water Content at depth 10 cm (loc. a),Relative Humidity at height 5 m,Carbon Dioxide Mean Concentration at height 18 m,Soil Temperature at depth 20 cm (loc. b),Soil Temperature at depth 50 cm (loc. a),Wind Direction at height 15 m,Wind Direction,Wind Speed at height 5 m,Ventilated Relative Humidity at height 5 m,Soil Moisture/Water Content integrated from 0 to -30 cm (loc. c),Outgoing Longwave Radiation at height 18 m,Soil Temperature at depth 40 cm (loc. b),Latent Heat Flux,Wind Speed at height 18 m,Air Temperature,Soil Temperature at depth 40 cm (loc. c),Standard Deviation of Wind Direction,Soil Temperature at depth 20 cm (loc. c),Soil Moisture/Water Content at depth 50 cm (loc. a),Soil Temperature at depth 10 cm (loc. b),Outgoing Shortwave Radiation,Ventilated Air Temperature at height 5 m,Soil Moisture/Water Content integrated from 0 to -30 cm (loc. b),Air Temperature at height 18 m,Net Radiation,Incoming Longwave Radiation","[{'subject': 'Land surface exchange, water budget, energy budget, Sudanian vegetation, evapo-transpiration, Sudanian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Net Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Air Pressure at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Ventilated Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Net Radiation at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Ventilated Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Mean Concentration', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Mean Concentration at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 15 m', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Ventilated Relative Humidity at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content integrated from 0 to -30 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm (loc. c)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Ventilated Air Temperature at height 5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content integrated from 0 to -30 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 18 m', 'subjectScheme': 'var'}, {'subject': 'Net Radiation', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.14470/ks178126,META-WT,GFZ Data Services,2023,en,Dataset,"embargoed access,Creative Commons Attribution 4.0 International","The META-WT project was designed to perform a 4-weeks seismic experiment in Germany with a dense seismic array of ~400 three-component geophones that covered (1) a 2.5km x 2.5km wind farm area in Brandenburg, Germany, with almost 200 wind turbines (WTs) and a well-studied subsurface structure and (2) a 20-km long radial line from the center of the wind farm with one geophone every half-kilometer. The objective was to capture the spatio-temporal seismic wave-field signature of the wind farm from continuous recordings of ambient noise. Due to the dense interstation distance and proposed geometry the experiment allowed for analyzing both small-scale wave field characteristics at an unprecedented spatial resolution and the longer distance radiation pattern of the wind farm. Waveform data is available from the GEOFON data centre, under network code XF, and is embargoed until Jan 2025.",mds,True,findable,0,0,0,0,0,2023-04-25T11:09:17.000Z,2023-04-25T11:09:18.000Z,tib.gfz,gfz,"Broadband seismic waveforms,Seismic monitoring,EARTH SCIENCE &gt; SOLID EARTH &gt; TECTONICS &gt; EARTHQUAKES,In Situ/Laboratory Instruments &gt; Magnetic/Motion Sensors &gt; Seismometers,In Situ Land-based Platforms &gt; GEOPHYSICAL STATIONS/NETWORKS,In Situ Land-based Platforms &gt; GEOPHYSICAL STATIONS/NETWORKS &gt; SEISMOLOGICAL STATIONS","[{'subject': 'Broadband seismic waveforms'}, {'subject': 'Seismic monitoring'}, {'lang': 'en', 'subject': 'EARTH SCIENCE &gt; SOLID EARTH &gt; TECTONICS &gt; EARTHQUAKES', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords', 'subjectScheme': 'NASA/GCMD Earth Science Keywords'}, {'lang': 'en', 'subject': 'In Situ/Laboratory Instruments &gt; Magnetic/Motion Sensors &gt; Seismometers', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords', 'subjectScheme': 'GCMD Instruments'}, {'lang': 'en', 'subject': 'In Situ Land-based Platforms &gt; GEOPHYSICAL STATIONS/NETWORKS', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords', 'subjectScheme': 'GCMD Platforms'}, {'lang': 'en', 'subject': 'In Situ Land-based Platforms &gt; GEOPHYSICAL STATIONS/NETWORKS &gt; SEISMOLOGICAL STATIONS', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords', 'subjectScheme': 'GCMD Platforms'}]",['~400G'],"['.mseed', 'XML']"
-10.5061/dryad.f4qrfj6wr,Effects of population density on static allometry between horn length and body mass in mountain ungulates,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Little is known about the effects of environmental variation on allometric relationships of condition-dependent traits, especially in wild populations. We estimated sex-specific static allometry between horn length and body mass in four populations of mountain ungulates that experienced periods of contrasting density over the course of the study. These species displayed contrasting sexual dimorphism in horn size; high dimorphism in Capra ibex and Ovis canadensis and low dimorphism in Rupicapra rupicapra and Oreamnos americanus. The effects of density on static allometric slopes were weak and inconsistent while allometric intercepts were generally lower at high density, especially in males from species with high sexual dimorphism in horn length. These results confirm that static allometric slopes are more canalized than allometric intercepts against environmental variation induced by changes in population density, particularly when traits appear more costly to produce and maintain.",mds,True,findable,153,16,0,1,0,2021-09-15T18:12:43.000Z,2021-09-15T18:12:44.000Z,dryad.dryad,dryad,"FOS: Natural sciences,FOS: Natural sciences,Density dependence,Alpine ungulates,horn","[{'subject': 'FOS: Natural sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Natural sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Density dependence'}, {'subject': 'Alpine ungulates'}, {'subject': 'horn'}]",['521318 bytes'],
-10.5281/zenodo.8329497,Source data figures Diverse Slip behaviour on Velocity-Weakening fault segments,Zenodo,2023,,Dataset,"Creative Commons Attribution 1.0 Generic,Open Access","txt data files for figures 3, 4 and 5 displayed on manuscript Diverse Slip behaviour on Velocity-Weakening fault segments",mds,True,findable,0,0,0,0,0,2023-09-08T17:26:19.000Z,2023-09-08T17:26:19.000Z,cern.zenodo,cern,Data source files,[{'subject': 'Data source files'}],,
-10.5281/zenodo.4916120,Quantum Information Scrambling in a Trapped-Ion Quantum Simulator with Tunable Range Interactions,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The data repository folder, "" OTOCPaperData.zip"" contains the data used in our manuscript <strong><em>Joshi et al., Phys. Rev. Lett. 124, 240505 (2020)</em></strong> and also available at arXiv:2001.02176. The folder contains further subfolders with self-explanatory names and description files to aid in reusing the data for any future purposes.",mds,True,findable,0,0,0,0,0,2021-06-09T14:58:59.000Z,2021-06-09T14:59:01.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_gs_20170713_005,Ag K edge XAS transmission of synthetic acanthite Ag2S,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T09:15:46.000Z,2019-12-05T09:15:56.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,Synthetic acanthite,laboratory measurement,transmission,None,hard X","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'Synthetic acanthite'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.5527127,Imprints of Ocean Chaotic Intrinsic Variability on Bottom Pressure and Implications for Data and Model Analyses,Zenodo,2021,,Dataset,"Creative Commons Attribution 3.0 United States,Open Access","These data are used for the manuscript ""Imprints of Ocean Chaotic Intrinsic Variability on Bottom Pressure and Implications for Data and Model Analyses"" to be submitted to Geophysical Research Letter. Uploaded data include: [1] ext_int_quater_deg.nc: atmospherically driven and intrinsic variations for subseasonal, intra-annual and mean seasonal bottom pressure signals at model original resolution. [2] ext_int_3deg.nc: atmospherically driven and intrinsic variations for smoothed subseasonal and intra-annual bottom pressure signals at 3*3 degree resolution. [3] ext_int_10deg.nc: atmospherically driven and intrinsic variations for smoothed intra-annual bottom pressure signals at 10*10 degree resolution. [4] meanseason_timeseries.nc: Time series of mean seasonal bottom pressure signals from all 50 ensemble members over Agulhas Current region and Argentine Basin.",mds,True,findable,0,0,0,0,0,2021-09-24T19:20:00.000Z,2021-09-24T19:20:01.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10577878,sedInterFoam,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"A three-dimensional two-phase flow solver with resolution of a free surface, sedInterFoam, has been developed for sediment transport applications. The solver is extended from sedFoam (https://zenodo.org/records/7944048), itself extended from twoPhaseEulerFoam available in the 2.1.0 release of the open-source CFD (computational fluid dynamics) toolbox OpenFOAM.",api,True,findable,0,0,0,0,1,2024-01-28T14:52:06.000Z,2024-01-28T14:52:06.000Z,cern.zenodo,cern,"Three-phase flow solver,OpenFoam,Sediment transport","[{'subject': 'Three-phase flow solver'}, {'subject': 'OpenFoam'}, {'subject': 'Sediment transport'}]",,
-10.5281/zenodo.10053093,COSIPY distributed simulations of Mera Glacier mass and energy balance (20161101-20201101),Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Creative Commons Attribution Share Alike 4.0 International","The four netCDF files contain outputs from COSIPY model (Sauter et al., 2020) for Mera Glacier for the period 20161101 to 20201101. The model is run on a 0.003Â°*0.003Â° grid, and forced with meteological variables collected locally and distributed with constant gradients. The ""constants.py"" is the python file that contains the specific model settings.",api,True,findable,0,0,0,0,0,2023-10-30T09:06:58.000Z,2023-10-30T09:06:58.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7342481,IMBIE software v3.0,Zenodo,2022,,Software,"Creative Commons Attribution 4.0 International,Open Access","The IMBIE processor version 3.0 is the python code developed to parse, aggregate and combine the satellite-based ice sheet mass balance estimates included in the IMBIE assessment described in the <em>Earth System Science Data</em> preprint 'Mass Balance of the Greenland and Antarctic Ice Sheets from 1992 to 2020' (https://doi.org/10.5194/essd-2022-261). More information on the Ice Sheet Mass Balance Inter-Comparison Exercise (IMBIE) can be found on the dedicated project website: http://imbie.org/.",mds,True,findable,0,0,0,0,0,2022-11-29T09:19:41.000Z,2022-11-29T09:19:41.000Z,cern.zenodo,cern,"ice sheets,Antarctica,Greenland,Earth Observation,sea level rise","[{'subject': 'ice sheets'}, {'subject': 'Antarctica'}, {'subject': 'Greenland'}, {'subject': 'Earth Observation'}, {'subject': 'sea level rise'}]",,
-10.26302/sshade/experiment_hm_20171017_001,Optical constants from UV to FIR for a silicate glass of cosmic composition,SSHADE/DOCCD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-04-20T13:09:03.000Z,2020-04-20T13:09:04.000Z,inist.sshade,mgeg,"solid,laboratory,inosilicate,Ca-Mg-Fe-silicate glass with pyroxene stoichiometry, cosmic composition,laboratory measurement,transmission,macroscopic,Vis,Visible,NIR,Near-Infrared,specular reflection,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'inosilicate'}, {'subject': 'Ca-Mg-Fe-silicate glass with pyroxene stoichiometry, cosmic composition'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'specular reflection'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['1 spectrum'],['ASCII']
-10.17178/emaa_ortho-nh2d_rotation_4f72e13c,Rotation excitation of ortho-NH2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",79 rotation energy levels / 466 radiative transitions / 3081 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 3081 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:47.000Z,2021-11-17T14:01:47.000Z,inist.osug,jbru,"target ortho-NH2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5061/dryad.n230404,Data from: The regulation of emotions in adolescents: age differences and emotion-specific patterns,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Two experiments addressed the issue of age-related differences and emotion-specific patterns in emotion regulation during adolescence. Experiment 1 examined emotion-specific patterns in the effectiveness of reappraisal and distraction strategies in 14-year-old adolescents (N = 50). Adolescents were instructed to answer spontaneously or to downregulate their responses by using either distraction or cognitive reappraisal strategies before viewing negative pictures and were asked to rate their emotional state after picture presentation. Results showed that reappraisal effectiveness was modulated by emotional content but distraction was not. Reappraisal was more effective than distraction at regulating fear or anxiety (threat-related pictures) but was similar to distraction regarding other emotions. Using the same paradigm, Experiment 2 examined in 12-year-old (N = 56), 13-year-old (N = 49) and 15-year-old adolescents (N = 54) the age-related differences a) in the effectiveness of reappraisal and distraction when implemented and b) in the everyday use of regulation strategies using the Cognitive Emotion Regulation Questionnaire. Results revealed that regulation effectiveness was equivalent for both strategies in 12-year-olds, whereas a large improvement in reappraisal effectiveness was observed in 13- and 15-year-olds. No age differences were observed in the reported use of reappraisal, but older adolescents less frequently reported using distraction and more frequently reported using the rumination strategy. Taken together, these experiments provide new findings regarding the use and the effectiveness of cognitive regulation strategies during adolescence in terms of age differences and emotion specificity.",mds,True,findable,391,58,1,1,0,2018-03-29T07:56:34.000Z,2018-03-29T07:56:35.000Z,dryad.dryad,dryad,"distraction,Adolescents,reappraisal","[{'subject': 'distraction'}, {'subject': 'Adolescents', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'reappraisal'}]",['87637 bytes'],
-10.5061/dryad.mkkwh70x8,"Influence of climate, soil and land cover on plant species distribution in the European Alps",Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Although the importance of edaphic factors and habitat structure for plant growth and survival is known, both are often neglected in favor of climatic drivers when investigating the spatial patterns of plant species and diversity. Yet, especially in mountain ecosystems with complex topography, missing edaphic and habitat components may be detrimental for a sound understanding of biodiversity distribution. Here, we compare the relative importance of climate, soil and land cover variables when predicting the distributions of 2â€™616 vascular plant species in the European Alps, representing approximately two thirds of all European Flora. Using presence-only data, we built point-process models (PPMs) to relate species observations to different combinations of covariates. We evaluated the PPMs through block cross-validations, and assessed the independent contributions of climate, soil and land cover covariates to predict plant species distributions using an innovative predictive partitioning approach. We found climate to be the most influential driver of spatial patterns in plant species with a relative influence of ~58.5% across all species, with decreasing importance from low to high elevations. Soil (~20.1%) and land cover (~21.4%), overall, were less influential than climate, but increased in importance along the elevation gradient. Furthermore, land cover showed strong local effects in lowlands, while the contribution of soil stabilized at mid-elevations. The decreasing influence of climate with elevation is explained by increasing endemism, and the fact that climate becomes more homogeneous as habitat diversity declines at higher altitudes. In contrast, soil predictors were found to follow the opposite trend. Additionally, at low elevations, human-mediated land cover effects appear to reduce the importance of climate predictors. We conclude that soil and land cover are, like climate, principal drivers of plant species distribution in the European Alps. While disentangling their effects remains a challenge, future studies can benefit markedly by including soil and land cover effects when predicting species distributions.",mds,True,findable,276,53,0,1,0,2020-08-17T23:39:17.000Z,2020-08-17T23:39:19.000Z,dryad.dryad,dryad,"plant species,European Alps,environmental predictors,Soil Influence,Climate Influence,Land cover Influence,Elevation Preferences,Soil Preferences,Vegetation Types,Model Responses,Influence Outputs,Flora Alpina,species names,Species codes,Plots,Pipelines,Predictive Partitioning Analysis","[{'subject': 'plant species'}, {'subject': 'European Alps'}, {'subject': 'environmental predictors'}, {'subject': 'Soil Influence'}, {'subject': 'Climate Influence'}, {'subject': 'Land cover Influence'}, {'subject': 'Elevation Preferences'}, {'subject': 'Soil Preferences'}, {'subject': 'Vegetation Types'}, {'subject': 'Model Responses'}, {'subject': 'Influence Outputs'}, {'subject': 'Flora Alpina'}, {'subject': 'species names'}, {'subject': 'Species codes'}, {'subject': 'Plots'}, {'subject': 'Pipelines'}, {'subject': 'Predictive Partitioning Analysis'}]",['3008712374 bytes'],
-10.26302/sshade/bandlist_raman_alpha_k2caco3-2,Raman bandlist of synthetic alpha-K2Ca(CO3)2 (BÃ¼tschliite),SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of synthetic $\alpha-K_2Ca(CO_3)_2$ (BÃ¼tschliite) at 295K,mds,True,findable,0,0,0,0,0,2023-09-10T17:21:02.000Z,2023-09-10T17:21:03.000Z,inist.sshade,mgeg,"$K_2Ca(CO_3)_2$ - phase alpha,Potassium(1+) cation,Calcium cation,Carbonate anion,alpha Dipotassium calcium carbonate,$\alpha-K_2Ca(CO_3)_2$,Potassium cation,Calcium(2+) cation,24203-36-9,14127-61-8,K+,Ca2+,(CO3)2-,K2Ca(CO3)2,normal salt,normal salts,carbonate,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': '$K_2Ca(CO_3)_2$ - phase alpha', 'subjectScheme': 'name'}, {'subject': 'Potassium(1+) cation', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'alpha Dipotassium calcium carbonate', 'subjectScheme': 'name'}, {'subject': '$\\alpha-K_2Ca(CO_3)_2$', 'subjectScheme': 'name'}, {'subject': 'Potassium cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '24203-36-9', 'subjectScheme': 'CAS number'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': 'K+', 'subjectScheme': 'formula'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'K2Ca(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'normal salt', 'subjectScheme': 'class'}, {'subject': 'normal salts', 'subjectScheme': 'class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5281/zenodo.6860555,JASPAR TFBS LOLA databases - Part 2,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the second part of the JASPAR 2022 LOLA databases used by the JASPAR TFBS enrichment tool. We provide the LOLA databases for the human (hg38) JASPAR 2022 TFBS sets as compressed directories containing a set of .RDS R objects. Due to file sizes, we had to split the repository into two different parts. Part 1 of the repository containing the rest of databases can be found here.",mds,True,findable,0,0,0,0,0,2022-07-25T12:25:34.000Z,2022-07-25T12:25:35.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.24196813,Additional file 1 of Sonometric assessment of cough predicts extubation failure: SonoWeanâ€”a proof-of-concept study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. Supplemental Fig 1: Description of the Pulsar Model 14Â® Sound Level Meter and method for measurement. The Model 14 is a general purpose digital sound level meter which meets the full requirements of IEC 61672 to Class 2. Before each inclusion the Sound Level Meter was calibrated acoustically using an external reference, i.e the Sound Level Calibrator Model 106, which is placed over the microphone. The calibrator generates a stabilized Sound Pressure Level of 94dB (+- 0.3dB) at a frequency of 1 kHz. Using a Low range (Low = 35dB to 100dB), maximum sound level was measured pressing the MAX HOLD button for at least Â½ second and was ultimately noticed. A level of sound in decibels (L) is defined as ten times the base-10 logarithm of the ratio between two power-related quantities I (i.e cough-volume related sound) and Io (i.e the human hearing threshold) as follows: L = 10 * Log 10 (I/ Io). Thus, an apparent mild increase from 73 to 76 dB in sound level results in multiplying acoustic energy by a factor two.",mds,True,findable,0,0,20,0,0,2023-09-26T03:25:47.000Z,2023-09-26T03:25:47.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['117717 Bytes'],
-10.17178/emaa_para-nhd2_hyperfine_3bc12b4c,Hyperfine excitation of para-NHD2 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",46 hyperfine energy levels / 273 radiative transitions / 990 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:20.000Z,2021-11-17T14:02:22.000Z,inist.osug,jbru,"target para-NHD2,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NHD2', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.5835983,"FIGURE 5. Bulbophyllum truongtamii Vuong, Aver. V.S.Dang.A. Flowering plant. B in Bulbophyllum section Rhytionanthos (Orchidaceae) in Vietnam with description of new taxa and new national record",Zenodo,2022,,Image,Open Access,"FIGURE 5. Bulbophyllum truongtamii Vuong, Aver. V.S.Dang.A. Flowering plant. B. Leaf apex, adaxial and abaxial side. C. Inflorescences. D. Floral bract. E. Flowers, frontal and back views. F. Median sepal, adaxial and abaxial side. G. Lateral sepals, adaxial and abaxial side. H. Petals, adaxial and abaxial side. I. Lip, views from different sides. J. Pedicel, ovary and column with sepals removed (above), and with all tepals removed (below). K. Column, frontal view. L. Column, half side and side views. M. Anther cap, views from different sides. N. Pollinia. Photos by Truong Ba Vuong, correction and design by L. Averyanov and T. Maisak.",mds,True,findable,0,0,2,2,0,2022-01-11T09:00:56.000Z,2022-01-11T09:00:57.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Plantae,Tracheophyta,Liliopsida,Asparagales,Orchidaceae,Bulbophyllum","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Plantae'}, {'subject': 'Tracheophyta'}, {'subject': 'Liliopsida'}, {'subject': 'Asparagales'}, {'subject': 'Orchidaceae'}, {'subject': 'Bulbophyllum'}]",,
-10.5281/zenodo.4629216,Deglacial ice sheet instabilities induced by proglacial lakes,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This archive provides the GRISLI ice sheet model outputs as part of the manuscript ""Deglacial ice sheet instabilities induced by proglacial lakes"". Contact: aurelien.quiquet@lsce.ipsl.fr",mds,True,findable,0,0,0,0,0,2021-03-23T08:23:24.000Z,2021-03-23T08:23:25.000Z,cern.zenodo,cern,"ice sheet,deglaciation,proglacial lake,grounding line","[{'subject': 'ice sheet'}, {'subject': 'deglaciation'}, {'subject': 'proglacial lake'}, {'subject': 'grounding line'}]",,
-10.5061/dryad.b2rbnzsp7,Data from: Camera traps reveal seasonal variation in activity and occupancy of the Alpine mountain hare (Lepus timidus varronis),Dryad,2024,en,Dataset,Creative Commons Zero v1.0 Universal,"Mountain hare is a cold-adapted species threatened by climate change, but
- despite its emblematic nature, our understanding of the causes of
- population decline remains limited. Camera traps are increasingly used in
- ecology as a tool for monitoring animal populations at large spatial and
- temporal scales. In mountain environments where field work is constrained
- by difficult access and harsh conditions, camera traps constitute a
- promising tool for surveying rare and elusive species such as the mountain
- hare. Our study explored the use of camera traps as a tool for studying
- seasonal habitat occupancy and daily activity patterns of the mountain
- hare, in order to carry out long-term monitoring of populations. We
- installed 46 camera traps along elevation gradients in the Mont-Blanc
- massif (France) from January 2018 to June 2022. We measured habitat
- variables at each camera trap site in order to define vegetation
- composition and habitat structure. We performed multi-season and
- single-season occupancy models to respectively describe habitat occupancy
- of the mountain hare throughout the year and identify the environmental
- variables influencing mountain hare presence during the breeding season.
- Mountain hares occupy coniferous forest in winter, and then switch to
- mixed areas of shrubland and grassland above treeline in spring and the
- beginning of summer. In spring, occupancy probability of the mountain hare
- increases with relative cover of mixed low shrub and herbaceous layer
- (i.e. the 10-40 cm vegetation layer), suggesting a link to food resources
- and protection from predation. Our results also confirm the nocturnal and
- crepuscular activity of the mountain hare during the breeding season, and
- strictly nocturnal activity in winter. Our results demonstrate the
- efficiency of camera traps as tools for monitoring mountain hare habitat
- occupancy in mountain environments and underline the importance of diverse
- habitat mosaics for the preservation of the species.",mds,True,findable,0,0,0,0,0,2024-02-07T20:21:15.000Z,2024-02-07T20:21:16.000Z,dryad.dryad,dryad,"FOS: Natural sciences,FOS: Natural sciences,mountain hare,Camera traps,altitudinal migration,habitat,occupancy,Activity pattern","[{'subject': 'FOS: Natural sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Natural sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'mountain hare'}, {'subject': 'Camera traps'}, {'subject': 'altitudinal migration'}, {'subject': 'habitat'}, {'subject': 'occupancy'}, {'subject': 'Activity pattern'}]",['159625 bytes'],
-10.5281/zenodo.3759301,"Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation - Model Weights - SC+WNGC, hypernyms, ensemble",Zenodo,2019,,Other,"Creative Commons Attribution 4.0 International,Open Access","This is the weights of the neural WSD model used in the article named ""Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation"" by LoÃ¯c Vial, Benjamin Lecouteux, Didier Schwab. This is an ensemble of 8 models trained separately on the SemCor+WNGC corpora and using the sense vocabulary compression through hypernyms described in the paper.",mds,True,findable,0,0,0,0,0,2020-04-21T13:49:32.000Z,2020-04-21T13:49:33.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.37476,Magellan/M2FS Spectroscopy of Tucana 2 and Grus 1,Zenodo,2015,,Dataset,"Creative Commons Zero v1.0 Universal,Open Access","supplementary data products, including all sky-subtracted spectra from individual targets, as well as random draws from posterior PDFs for model parameters (see enclosed README file)",mds,True,findable,1,0,0,0,0,2015-12-29T10:29:31.000Z,2015-12-29T10:29:31.000Z,cern.zenodo,cern,"Tucana 2, Grus 1, Magellan M2FS spectroscopy","[{'subject': 'Tucana 2, Grus 1, Magellan M2FS spectroscopy'}]",,
-10.15778/resif.rg,RESIF-RENAG French national Geodetic Network,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2017,en,Other,,"The RENAG goals are to install and maintain over the long term a network of permanent GPS stations for scientific applications. RENAG acquires, stores, validates, distributes and analyzes data from 72 university stations. 18 French research teams are actively involved in the establishment of observing systems, data acquisition, in their scientific exploitation and dissemination, and their sustainability (BD RENAG). The network's objectives are to 1) quantify the slow tectonic deformation of France, to establish the link with the moderate seismicity and to constrain models of the current deformation, thus contributing to the assessment of seismic hazard on the national territory, 2) constrain sea level variations, by separating vertical land motion from climatic contributions in tide gauge records thanks to co-located GPS stations, 3) fill a persistent observational gap of tropospheric water vapor in meteorology for the analysis of heavy rain events, for assimilation of GPS data in operational forecast models and to provide stable measurements over long periods for climatology, and 4) characterize the transient deformations induced by loads (atmospheric, oceanic, hydrological).",,True,findable,0,0,0,2,0,2017-04-19T13:05:39.000Z,2017-04-19T13:05:39.000Z,inist.resif,vcob,"Geodesy,GNSS","[{'subject': 'Geodesy'}, {'subject': 'GNSS'}]",['Approximately 72 active stations; greater than 25 MB/day.'],['RINEX data']
-10.5281/zenodo.10000775,Metallic nickel pillar X-ray spectral ptychographic dataset,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"This dataset was acquired at the SWING beamline at the French synchrotron SOLEIL. The dataset was obtained by conducting spectral 2D X-ray ptychography on a 7-micron diameter metallic nickel pillar. An energy scan was performed from 8.3 KeV to 8.4 KeV with a 1 eV step, including the resonant energy of nickel at 8.333 KeV. For each energy acquisition, the ptychographic scanning parameters consisted of 242 diffraction patterns from a field of view of 14x12 ÂµmÂ², with an exposure time of 100 ms per point. The ptychographic reconstruction was carried out using the PtychoShelves Matlab software package, involving 200 iterations of the difference map (DM) algorithm, followed by 100 iterations of the maximum likelihood (ML) algorithm.",api,True,findable,0,0,0,0,0,2023-10-13T14:05:22.000Z,2023-10-13T14:05:22.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.6642960,Phenotype and imaging features associated with APP duplications,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background APP duplication is a rare genetic cause of Alzheimer disease and cerebral amyloid angiopathy (CAA). We aimed to evaluate the phenotypes of APP duplications carriers. Methods Clinical, radiological, and neuropathological features of 43 APP duplication carriers from 24 French families were retrospectively analyzed, and MRI features and cerebrospinal fluid (CSF) biomarkers were compared to 40 APP-negative CAA controls. Results Major neurocognitive disorders were found in 90.2% symptomatic APP duplication carriers, with prominent behavioral impairment in 9.7%. Symptomatic intracerebral hemorrhages were reported in 29.2% and seizures in 51.2%. CSF AÎ²42 levels were abnormal in 18/19 patients and 14/19 patients fulfilled MRI radiological criteria for CAA, while only 5 displayed no hemorrhagic features. We found no correlation between CAA radiological signs and duplication size. Compared to CAA controls, APP duplication carriers showed less disseminated cortical superficial siderosis (0% vs 37.5%, p = 0.004 adjusted for the delay between symptoms onset and MRI). Deep microbleeds were found in two APP duplication carriers. In addition to neurofibrillary tangles and senile plaques, CAA was diffuse and severe with thickening of leptomeningeal vessels in all 9 autopsies. Lewy bodies were found in substantia nigra, locus coeruleus, and cortical structures of 2/9 patients, and one presented vascular amyloid deposits in basal ganglia. Discussion Phenotypes associated with APP duplications were heterogeneous with different clinical presentations including dementia, hemorrhage, and seizure and different radiological presentations, even within families. No apparent correlation with duplication size was found. Amyloid burden was severe and widely extended to cerebral vessels as suggested by hemorrhagic features on MRI and neuropathological data, making APP duplication an interesting model of CAA.",mds,True,findable,0,0,0,0,0,2023-05-12T03:40:51.000Z,2023-05-12T03:40:51.000Z,figshare.ars,otjm,"Biochemistry,Medicine,Cell Biology,Neuroscience,Science Policy","[{'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Science Policy'}]",,
-10.17178/emaa_para-h2o_rotation_18d206fb,Rotation excitation of para-H2O by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",45 rotation energy levels / 126 radiative transitions / 990 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:02.000Z,2022-02-07T11:26:03.000Z,inist.osug,jbru,"target para-H2O,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.2677907,tcompa/Data_2D_Fermi_dipoles: v1.0.2,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data_2D_Fermi_dipoles
-
-Here we report the supporting data for the manuscript ""Two-dimensional Mixture of Dipolar Fermions: Equation of State and Magnetic Phases"", by Tommaso Comparin, Raul Bombin, Markus Holzmann, Ferran Mazzanti, Jordi Boronat, and Stefano Giorgini (Phys. Rev. A 99, 043609 (2019), https://arxiv.org/abs/1812.08064). If you use these data in a scientific work, please cite the corresponding article [Phys. Rev. A 99, 043609 (2019)].
-
-For additional details, please contact Tommaso Comparin (tommaso.comparin@unitn.it, tommaso.comparin@gmail.com).
-
-The data described in the manuscript are organized as follows:
-
-
-	Data for Fig. 1 (EOS for P=0) are in the folder Energies_JS_small_density.
-	Data for Fig. 2 (pair distribution functions for P=0) are in the folder Pair_distribution_function_P0.
-	Data for Fig. 3 (pair distribution functions for P=0 at small density) are in the folder Pair_distribution_function_P0_small_density.
-	Data for Fig. 4 and Table I (Jastrow-Slater and Backflow energies, for different polarizations) are in the folder Energies_JS_and_BF.
-	Data for Fig. 5 (polaron energies at density n*r_0^2=40) are in the folder Energies_polaron.
-	Data for Fig. 6 and Table II (iterated-backflow energies) are in the folder Energies_iterated_bacfklow.
-
-
-Each folder contains a README file with a description of the data files and additional details on the simulations.
-
-NOTES
-
-Two sets of units are used for the energy (see README files in each folder):
-
-
-	Dipolar units, as in the manuscript, correspond to the energy scale epsilon_0=hbar^2/(m*r_0^2).
-	Density units correspond to the energy scale hbar^2/(2<em> </em>m<em> </em>a^2), where a=1/sqrt(pi*n) is the mean interparticle distance.
-
-
- 
-
-New in v1.0.2: Updated license to CC BY 4.0.
-
-New in v1.0.1: Minor update to Energies_JS_small_density/data_energies_P0_N74_JS.dat.",mds,True,findable,0,0,0,0,0,2019-05-08T15:14:46.000Z,2019-05-08T15:14:46.000Z,cern.zenodo,cern,"quantum monte carlo,ultracold atoms,monte carlo","[{'subject': 'quantum monte carlo'}, {'subject': 'ultracold atoms'}, {'subject': 'monte carlo'}]",,
-10.17178/osug-collections.all,"OSUG-COLLECTIONS is a database of rocks, minerals and fossils","OSUG, UGA",2021,fr,Dataset,"License: CC BY ND,The following sentence should appear in the acknowledgments of the publication:
-OSUG-COLLECTIONS is a database of rocks, minerals and fossils, OSUG, UGA. doi:10.17178/OSUG-COLLECTIONS.all","The rock collection is mainly composed of Himalayan samples collected all along the Himalayan belt, from North-West Pakistan to Western China (mainly Pakistan, western India and Nepal). They are mainly represented by sedimentary, metamorphic and granitic rocks of the Higher Himalaya. They were collected from 1972 to today, often in area hard to reach, either for physiographic or political reasons. The rock collection also includes samples from the French Alps, in particular samples collected in the Arc-IsÃ¨re Tunnel. The mineral collection is composed of more than 5000 specimens collected all around the world. The peculiarity of this collection is the large number of alpine minerals collected both from Mines and clefts. The paleontological collection is composed of more than 250 000 fossils, collected all around the world. It represents the first ammonite collection in the world for the Lower Cretaceous of the Mediterranean realm. More than 2800 fossils are reference specimens Â« types et figurÃ©s Â». History: From 2008, the creation of a first database (collections.obs.ujf-grenoble.fr) allowed the digitalization of these collections. In 2020, migration and upgrade of the previous version to a worldwide openaccess one (web.collections.osug.fr) were made.",mds,True,findable,0,0,0,0,0,2021-03-09T08:16:09.000Z,2021-03-09T08:16:11.000Z,inist.osug,jbru,"Geological collections,Rock collection,Mineral collection,Fossil collection","[{'subject': 'Geological collections', 'subjectScheme': 'main'}, {'subject': 'Rock collection', 'subjectScheme': 'main'}, {'subject': 'Mineral collection', 'subjectScheme': 'main'}, {'subject': 'Fossil collection', 'subjectScheme': 'main'}]",,
-10.5281/zenodo.8131976,Prior information differentially affects discrimination decisions and subjective confidence reports,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Experimental data from a series of three human experiments described in the submitted article ""Prior information differentially affects discrimination decisions and subjective confidence reports"" by Marika Constant, Michael Pereira, Nathan Faivre, and Elisa Filevich (2023). This dataset includes all of the data needed to run the analyses in the article. Please consult the article for a full description of the data.",mds,True,findable,0,0,0,0,0,2023-07-10T15:37:26.000Z,2023-07-10T15:37:26.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4632200,Calibration data and analyses,Zenodo,2021,,Dataset,"MIT License,Open Access",This repository contains nearly all the data and notebooks that were used throughout my PhD thesis.,mds,True,findable,0,0,0,0,0,2021-03-23T19:51:46.000Z,2021-03-23T19:51:47.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.6593063,"Promoting HPV vaccination at school: a mixed methods study exploring knowledge, beliefs and attitudes of French school staff",figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background HPV vaccine coverage in France remained lower than in most other high-income countries. Within the diagnostic phase of the national PrevHPV program, we carried out a mixed methods study among school staff to assess their knowledge, beliefs and attitudes regarding HPV, HPV vaccine and vaccination in general, and regarding schoolsâ€™ role in promoting HPV vaccination. Methods Middle school nurses, teachers and support staff from four French regions participated between January 2020 and May 2021. We combined: (i) quantitative data from self-administered online questionnaires (n = 301), analysed using descriptive statistics; and (ii) qualitative data from three focus groups (n = 14), thematically analysed. Results Less than half of respondents knew that HPV can cause genital warts or oral cancers and only 18% that no antiviral treatment exists. Almost 90% of the respondents knew the existence of the HPV vaccine but some misunderstood why it is recommended before the first sexual relationships and for boys; 56% doubted about its safety, especially because they think there is not enough information on this topic. Schools nurses had greater knowledge than other professionals and claimed that educating pupils about HPV was fully part of their job roles; however, they rarely address this topic due to a lack of knowledge/tools. Professionals (school nurses, teachers and support staff) who participated in the focus groups were unfavourable to offering vaccination at school because of parentsâ€™ negative reactions, lack of resources, and perceived uselessness. Conclusions These results highlight the need to improve school staff knowledge on HPV. Parents should be involved in intervention promoting HPV vaccination to prevent their potential negative reactions, as feared by school staff. Several barriers should also be addressed before organizing school vaccination programs in France.",mds,True,findable,0,0,0,0,0,2023-04-13T14:58:33.000Z,2023-04-13T14:58:33.000Z,figshare.ars,otjm,"Medicine,Molecular Biology,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Molecular Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.48380/evdd-zw82,Observing high pressure melting and crystallization of silicates utilizing MHz diffraction at the European X-ray free electron laser,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2022,en,Text,,"<p>The opening of the European X-ray Free Electron Laser near Hamburg (EuXFEL) offers promising new experimental opportunities for studying materials. It can deliver X-rays with energies up to 25 keV and its brightness is so large, that a single pulse exhibits enough intensity to generate a diffraction image. In combination with the 4.5 MHz (220 ns separation) rate of pulse delivery, and new detector technologies (AGIPD), the EuXFEL enables unique capabilities for time resolved diffraction experiments.</p>
-<p>Coupling these new capabilities with laser heated diamond anvil cells, enables the study of materials under planetary conditions with unprecedented time resolution, possibly overcoming previous issues with chemical reactions between the sample and its environment as well as the study of transient phenomena such as phase transformations.</p>
-<p>We will present first results and challenges of experiments investigating silicates under extreme conditions at the â€œHigh Energy Densityâ€ (HED) instrument of the European XFEL during two community proposals which brought together around fifty international participants (proposal numbers #2292 and #2605).</p>
-",api,True,findable,0,0,0,0,0,2023-05-31T14:45:33.000Z,2023-05-31T14:45:33.000Z,mcdy.dohrmi,mcdy,,,,
-10.15778/resif.xo2021,"Monitoring of seismic activity and noise around the Vuache Fault, France (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2023,,Dataset,,"Preliminary studies of Epagny earthquake (M4.3, 1996) shows that local seismic activity is correlated to hydraulic pressure loading of the Vuache fault. The aim of the campaign is to compute seismic velocity variation along asismic segment located few kilometers away from Epagny earthquake epicenter to ensure a better understanding of the spatial variation of seismic activity along the fault.",mds,True,findable,0,0,0,0,0,2021-11-03T17:49:58.000Z,2021-11-03T17:50:18.000Z,inist.resif,vcob,"Continous monitoring,Vuache fault,CMG40,100Hz","[{'subject': 'Continous monitoring'}, {'subject': 'Vuache fault'}, {'subject': 'CMG40'}, {'subject': '100Hz'}]","['10 stations, 57Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.5281/zenodo.4048589,Sources of particulate matter air pollution and its oxidative potential in Europes,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data presented in the manuscript ""Sources of particulate matter air pollution and its oxidative potential in Europe"" (https://doi.org/10.1038/s41586-020-2902-8) by Daellenbach et al. (2020).",mds,True,findable,0,0,0,0,0,2020-11-18T16:07:33.000Z,2020-11-18T16:07:34.000Z,cern.zenodo,cern,"particulate air pollution,health effects,oxidative potential","[{'subject': 'particulate air pollution'}, {'subject': 'health effects'}, {'subject': 'oxidative potential'}]",,
-10.6084/m9.figshare.16851156,Additional file 8 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 8: Fig. S4. Proliferation assays of HeLa clones. A) Cell proliferation of HeLa clones (CTR, WT, BD, KD; for abbr. see Fig. 1) was examined between 12 and 36â€‰h using the xCELLigence System. Proliferation rate (slope) was determined by the RTCA Software supplied with the instrument. Values are means Â± SEM (n=3). B) Levels of proliferation markers, cyclin A, cyclin B1 and PCNA with Î±-tubulin as loading control were analyzed by Western blotting of HeLa clone extracts. ***p&lt;â€‰0.005 relative to control/empty vector (CTR); ###p&lt;â€‰0.005 relative to wild-type (WT).",mds,True,findable,0,0,93,1,0,2021-10-22T04:08:23.000Z,2021-10-22T04:08:25.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['2340706 Bytes'],
-10.17178/emaa_ortho-d2s_rotation_a6fd14e0,Rotation excitation of ortho-D2S by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",26 rotation energy levels / 58 radiative transitions / 325 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 325 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:38.000Z,2023-12-07T15:51:39.000Z,inist.osug,jbru,"target ortho-D2S,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-D2S', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5061/dryad.4f4qrfjjc,Multiplexing PCR allows the identification of within-species genetic diversity in ancient eDNA,Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"Sedimentary ancient DNA (sedaDNA) has rarely been used to obtain population-level data due to either a lack of taxonomic resolution for the molecular method used, limitations in the reference material or inefficient methods. Here, we present the potential of multiplexing different PCR primers to retrieve population-level genetic data from sedaDNA samples. Vaccinium uliginosum (Ericaceae) is a widespread species with a circumpolar distribution and three lineages for present-day populations. We searched 18 plastid genomes for intraspecific variable regions and developed 61 primers to target these. Initial multiplex PCR testing resulted in a final set of 38 primers. These primers were used to analyse 20 lake sedaDNA samples (11,200 cal. yr BP to present) from five different localities in northern Norway, the Alps and the Polar Urals. All known V. uliginosum lineages in these regions and all primers could be recovered from the sedaDNA data, where for each sample 28.1 primers containing 34.15 variant sequences were obtained on average. All sediment samples were dominated by a single lineage, except three alpine samples which had co-occurrence of two different lineages. Furthermore, lineage turnover was observed in the Alps and northern Norway, suggesting that present-day phylogeographical studies may overlook past genetic patterns. Multiplexing primers is a promising tool for generating population-level genetic information from sedaDNA. The relatively simple method, combined with high sensitivity, provides a scalable method that will allow researchers to track populations through time and space using environmental DNA.",mds,True,findable,111,7,0,0,0,2023-08-28T21:30:41.000Z,2023-08-28T21:30:41.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,sedimentary ancient DNA,Environmental DNA,Multiplexing PCR,Phylogeography","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'sedimentary ancient DNA'}, {'subject': 'Environmental DNA'}, {'subject': 'Multiplexing PCR'}, {'subject': 'Phylogeography', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['28506432 bytes'],
-10.17178/emaa_ch2nh_rotation_6a3d5ab2,Rotation excitation of CH2NH by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",15 rotation energy levels / 31 radiative transitions / 105 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:43.000Z,2023-12-07T15:50:43.000Z,inist.osug,jbru,"target CH2NH,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CH2NH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.18709/perscido.2023.02.ds384,Championship Value Prediction 1 Secret Traces,PerSCiDO,2023,,Dataset,,"The following traces are 2013 ""secret"" execution traces that were generated for the Championship Value Prediction 1 (https://www.microarch.org/cvp1/cvp1online/contestants.html) that took place with the IEEE/ACM International Symposium on Computer Architecture (ISCA) 2018. There traces contain instructions executed by ARMv8 workloads of interest to CPU design. The traces only contain partial information and are anonymized, in the sense that the program from which a given trace was generated is not available. All traces used in CVP-1 were released to the public domain after CVP-1.
-
-This release contains :
-- ./secret_traces : 2013 traces containing 100M instructions, known as the ""secret traces"" as this is what contestant code was evaluated on during CVP-1
-
-Additional information about how to use the traces and the trace format is provided in the README.",api,True,findable,0,0,0,0,0,2023-02-10T14:59:46.000Z,2023-02-10T14:59:46.000Z,inist.persyval,vcob,Computer Science,"[{'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['40000 Mo'],
-10.26302/sshade/experiment_yd_20220407_010,Multiangular reflectance of Hawaii basaltic sand in 5 visible spectral bands for 6 different grain sizes,SSHADE/PaSSTEL (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Multiangular reflectance (23 angular configurations) in 5 visible spectral bands (0.56, 0.70, 0.79, 0.88, 0.96 Âµm) and for 6 different grain size ranges C1 to C6 (45-75, 75-125, 125-250, 250-500, 500-1000, 1000-2000 Âµm)",mds,True,findable,0,0,0,0,0,2022-05-17T13:32:20.000Z,2022-05-17T13:32:21.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,tektosilicate,Vitreous matrix,laboratory measurement,bidirectional reflection,imaging,Vis,Visible,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'tektosilicate'}, {'subject': 'Vitreous matrix'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'imaging'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'reflectance factor'}]",['6 spectra'],['ASCII']
-10.5281/zenodo.6461645,protopipe,Zenodo,2022,,Software,"CeCILL-B Free Software License Agreement,Open Access",Pipeline prototype for the Cherenkov Telescope Array (CTA).,mds,True,findable,0,0,0,0,0,2022-04-14T15:43:06.000Z,2022-04-14T15:43:07.000Z,cern.zenodo,cern,"gamma-ray astronomy,Imaging Atmospheric Cherenkov Telescope,IACT,CTA,pipeline,simulations,grid","[{'subject': 'gamma-ray astronomy'}, {'subject': 'Imaging Atmospheric Cherenkov Telescope'}, {'subject': 'IACT'}, {'subject': 'CTA'}, {'subject': 'pipeline'}, {'subject': 'simulations'}, {'subject': 'grid'}]",,
-10.5061/dryad.7wm37pvx5,High resolution ancient sedimentary DNA shows that alpine plant diversity is associated with human land use and climate change,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"The European Alps are highly rich in species, but their future may be threatened by ongoing changes in human land use and climate. Here, we reconstructed vegetation, temperature, human impact and livestock over the past ~12,000 years from Lake Sulsseewli, based on sedimentary ancient plant and mammal DNA, pollen, spores, chironomids, and microcharcoal. We assembled a highly-complete local DNA reference library (PhyloAlps, 3,923 plant taxa), and used this to obtain an exceptionally rich sedaDNA record of 366 plant taxa. Vegetation mainly responded to climate during the early Holocene, while human activity had an additional influence on vegetation from 6 ka onwards. Land-use shifted from episodic grazing during the Neolithic and Bronze Age to agropastoralism in the Middle Ages. Associated human deforestation allowed the coexistence of plant species typically found at different elevational belts, leading to levels of plant richness that characterise the current high diversity of this region. Our findings indicate a positive association between low-intensity agropastoral activities and precipitation with the maintenance of the unique subalpine and alpine plant diversity of the European Alps.",mds,True,findable,112,1,0,0,0,2022-09-16T16:00:05.000Z,2022-09-16T16:00:06.000Z,dryad.dryad,dryad,"metabarcoding,sedimentary ancient DNA,FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'metabarcoding'}, {'subject': 'sedimentary ancient DNA'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['190852725 bytes'],
-10.17178/cryobsclim.cdp.2018.hourlysnow,"Col de Porte, Hourly snow data",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019.  The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP  (CRYosphere, an OBServatory of the CLIMate â€“ Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:34.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"soil temperature,runoff,snow depth,surface temperature,settling disk height,settling disk temperature,soil moisture,ground flux","[{'subject': 'soil temperature', 'subjectScheme': 'main'}, {'subject': 'runoff', 'subjectScheme': 'main'}, {'subject': 'snow depth', 'subjectScheme': 'main'}, {'subject': 'surface temperature', 'subjectScheme': 'main'}, {'subject': 'settling disk height', 'subjectScheme': 'main'}, {'subject': 'settling disk temperature', 'subjectScheme': 'main'}, {'subject': 'soil moisture', 'subjectScheme': 'main'}, {'subject': 'ground flux', 'subjectScheme': 'main'}]",,['netCDF']
-10.5061/dryad.rb0qk13,Data from: Cold adaptation in the Asian tiger mosquitoâ€™s native range precedes its invasion success in temperate regions,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Adaptation to environmental conditions within the native range of exotic species can condition the invasion success of these species outside their range. The striking success of the Asian tiger mosquito, Aedes albopictus, to invade temperate regions has been attributed to the winter survival of diapause eggs in cold environments. In this study, we evaluate genetic polymorphisms (SNPs) and wing morphometric variation among three biogeographical regions of the native range of A. albopictus. Reconstructed demographic histories of populations show an initial expansion in Southeast Asia and suggest that marine regression during late Pleistocene and climate warming after the last glacial period favored expansion of populations in southern and northern regions respectively. Searching for genomic signatures of selection, we identified significantly differentiated SNPs among which several are located in or within 20kb distance from candidate genes for cold adaptation. These genes involve cellular and metabolic processes and several of them have been shown to be differentially expressed under diapausing conditions. The three biogeographical regions also differ for wing size and shape, and wing size increases with latitude supporting Bergmannâ€™s rule. Adaptive genetic and morphometric variation observed along the climatic gradient of A. albopictus native range suggests that colonization of northern latitudes promoted adaptation to cold environments prior to its worldwide invasion.",mds,True,findable,256,14,2,2,0,2019-06-17T17:42:21.000Z,2019-06-17T17:42:21.000Z,dryad.dryad,dryad,"Aedes albopictus,cold adaptation","[{'subject': 'Aedes albopictus'}, {'subject': 'cold adaptation'}]",['9913223 bytes'],
-10.5281/zenodo.3932935,Results of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",This archive provides the model result of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project.,mds,True,findable,0,0,0,0,0,2020-07-16T13:21:34.000Z,2020-07-16T13:21:35.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7372398,"Video recordings of ""Modular Tangible User Interfaces: Impact of Module Shape and Bonding Strength on Interaction""",Zenodo,2022,,Audiovisual,Restricted Access,"We provide the video data recorded during the experiment presented in the publication https://doi.org/10.1145/3569009.3572731. We conducted the first study on how the bonding strength and the shape of modules impact usability during user interaction with modular tangible user interfaces (TUIs). We built six magnetic modular prototypes featuring 6x6x6mm modules with three different levels of bonding strength (low, mid, high) and two different shapes (cubes and rounded cubes). We asked participants to perform eight common tasks found in the HCI literature for (non-)modular TUIs, which are presented in section 3.3 from the publication: Lift Split one module Split two modules Split a line of modules Split half of the modules Slide parts of the interface Bend the interface Fold the interface <br> Participants performed the manipulations on two types of configuration of modules: a flat configuration (i.e., one layer of 80 modules) or a thick configuration (i.e., two layers on 40 modules each). The video data we provide consists of recordings of the hands of the participants when they perform the tasks with each condition of prototype. The video data we provide consists of recordings of the hands of the participants when they perform the tasks with each condition of prototype. The procedure presented in the video recordings is as follow:<br> <br> The participant sits in front of a table with a delimited manipulation area, with an overhead camera pointing towards the manipulation area. Participants are asked to perform the experiment within the borders of the manipulation area.<br> The experimental software (not shown in the recordings, but in the publication) presents the participants with a picture of a starting State A (e.g., a rectangular block) and a target State B (e.g., the rectangular block split in two halves). Reaching state B only requires the use of one elementary manipulation. There is no indication as to how the UI was grabbed to reach State B, to avoid bias. The experimenter places the first prototype on the manipulation area, mimicking State A. The participant manipulates the prototype to reach State B. The task is repeated three times to allow exploring different strategies. After completion of the task, the participant fills a short questionnaire, which is when a mobile tablet is shown in the recordings. They are then presented with the next task to perform (i.e., new State A and B pictures) while the experimenter presents the next prototype. This procedure is repeated for each manipulation and each condition.",mds,True,findable,0,0,0,0,0,2022-11-29T17:05:23.000Z,2022-11-29T17:05:23.000Z,cern.zenodo,cern,"Tangible User Interfaces,Tangible interaction,Modular user interfaces,Bonding strength,Shape,Detachability,Solidity,Human-Computer Interaction","[{'subject': 'Tangible User Interfaces'}, {'subject': 'Tangible interaction'}, {'subject': 'Modular user interfaces'}, {'subject': 'Bonding strength'}, {'subject': 'Shape'}, {'subject': 'Detachability'}, {'subject': 'Solidity'}, {'subject': 'Human-Computer Interaction'}]",,
-10.5281/zenodo.8384883,Glacier runoff projections and their multiple sources of uncertainty in the Patagonian Andes (40-56Â°S),Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the catchment scale results of the study: ""<strong>Assessing the glacier projection uncertainties in the Patagonian Andes (40-56Â°S) from a catchment perspective</strong>"". The results are disaggregated in the following files (for more details, please read the README file): <em>- basins_boundaries.zip:</em> Contains the polygons (in .shp format) of the studied catchments. Each catchment is identified by its ""basin_id"". <em>- dataset_historical.csv: </em>Summarises the historical conditions of each glacier at the catchment scale (area, volume and reference climate). <em>- dataset_future.csv: </em>Summarises the future glacier climate drivers and their impacts at the catchment scale. <em>- dataset_signatures.csv: </em>Summarises the glacio-hydrological signatures for each catchment. The metrics are calculated for the variables ""total glacier runoff (tr)"" and ""melt on glacier (mg)"". The main source of uncertainty in each catchment was the source that accumulated most RMSE loss.",mds,True,findable,0,0,0,0,0,2023-10-05T18:35:16.000Z,2023-10-05T18:35:17.000Z,cern.zenodo,cern,"glacier runoff,Patagonia,uncertainty,Open Global Glacier Model,GlacierMIP,Andes,random forest,Patagonian Icefields","[{'subject': 'glacier runoff'}, {'subject': 'Patagonia'}, {'subject': 'uncertainty'}, {'subject': 'Open Global Glacier Model'}, {'subject': 'GlacierMIP'}, {'subject': 'Andes'}, {'subject': 'random forest'}, {'subject': 'Patagonian Icefields'}]",,
-10.17178/emaa_sh-plus_hyperfine_da4d4f7a,"Hyperfine excitation of SH+ by H, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",67 hyperfine energy levels / 227 radiative transitions / 666 collisional transitions for para-H2 (32 temperatures in the range 10-500K) / 666 collisional transitions for ortho-H2 (32 temperatures in the range 10-500K) / 1790 collisional transitions for H (10 temperatures in the range 10-1000K) / 1945 collisional transitions for electron (11 temperatures in the range 10-2000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:23.000Z,2022-02-07T11:26:24.000Z,inist.osug,jbru,"target SH+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,collider.3 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'collider.3 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.10117556,"Companion documents of the article entitled ""State of the art of research towards sustainable power electronics"" from the workgroup CEPPS, research group SEEDS, CNRS, France.",Zenodo,2023,en,Dataset,Creative Commons Attribution Share Alike 4.0 International,"These documents accompany the article ""State of the art of research towards sustainable power electronics"", produced by members of the CEPPS working group, part of the SEEDS research group. These documents include: a list of keywords for bibliographic queries; a list of articles extracted; a list of journals, conferences and key players in the field; and a review of indicators.",api,True,findable,0,0,0,0,0,2023-11-13T09:47:07.000Z,2023-11-13T09:47:08.000Z,cern.zenodo,cern,"power electronics,eco-design,circular economy,sustainability,state-of-the-art,literature review","[{'subject': 'power electronics'}, {'subject': 'eco-design'}, {'subject': 'circular economy'}, {'subject': 'sustainability'}, {'subject': 'state-of-the-art'}, {'subject': 'literature review'}]",,
-10.5281/zenodo.10277799,"Database of local seismicity registered on ocean bottom seismometers (OBS). Database related to Bornstein et al. (accepted in Earth and Space Science), PICKBLUE",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"We assembled a database of Ocean Bottom Seismometer (OBS) waveforms and manual P and S picks from local seismicity, on which we trained PickBlue, a deep-learning picker, using the seismometer data and the hydrophone channel. The dataset belongs to Bornstein et al. (accepted 2023 in Earth and Space Science). The picker and database are available in the SeisBench platform, allowing easy and direct application to OBS traces and hydrophone records.
-The complete database is also accessible with SEISBENCH:Â https://seisbench.readthedocs.ioSEISBENCH on github:https://github.com/seisbench
-Related paper:
-Bornstein, T., Lange, D., MÃ¼nchmeyer, J., Woollam, J., Rietbrock., A., Barcheck, G., Grevemeyer, I., Tilmann, F. (accepted 2023 in Earth and Space Science). Â PickBlue: Seismic phase picking for ocean bottom seismometers with deep learning, Earth and Space Science.Â ",api,True,findable,0,0,0,1,0,2023-12-07T16:56:11.000Z,2023-12-07T16:56:11.000Z,cern.zenodo,cern,"seismology,Ocean Bottom Seismometer,phase picking,OBS seismicity database,P and S onsets,machine learning","[{'subject': 'seismology'}, {'subject': 'Ocean Bottom Seismometer'}, {'subject': 'phase picking'}, {'subject': 'OBS seismicity database'}, {'subject': 'P and S onsets'}, {'subject': 'machine learning'}]",,
-10.26302/sshade/experiment_dm_20141115_002,"NIR and MIR reflectance spectra of mixtures of UARK tholins with liquid and solid CH4, C2H6 and CH3CN at several temperatures",SSHADE/SOSYPOL (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR and MIR reflectance spectra of synthesized UARK tholins (from 90% N2:10% CH4) pure and mixed with various liquids and solids (CH4, C2H6 and CH3CN) at varying temperature",mds,True,findable,0,0,0,0,0,2020-02-13T12:08:53.000Z,2020-02-13T12:08:54.000Z,inist.sshade,mgeg,"carbonaceous,laboratory,complex macromolecular mixture,Tholins UARK 90N2 10CH4,commercial,liquid,Liquid C2H6,Liquid CH4,Liquid CH3CN,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,MIR,Mid-Infrared,reflectance factor","[{'subject': 'carbonaceous'}, {'subject': 'laboratory'}, {'subject': 'complex macromolecular mixture'}, {'subject': 'Tholins UARK 90N2 10CH4'}, {'subject': 'commercial'}, {'subject': 'liquid'}, {'subject': 'Liquid C2H6'}, {'subject': 'Liquid CH4'}, {'subject': 'Liquid CH3CN'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'reflectance factor'}]",['29 spectra'],['ASCII']
-10.17178/ohmcv.dsd.mre.12-16.1,"DSD network, Mont-Redon",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:16.000Z,2017-10-17T13:24:16.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.15778/resif.rd,CEA/DASE broad-band permanent network in metropolitan France,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2018,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","The CEA/DASE broad-band permanent network in metropolitan France is part of the operational services of the CEA dedicated to the monitoring of seismicity in metropolitan France. Since 2006, six sites have been used, corresponding to twelve station names (2 per station) due to change of station names. The six stations are included in the French national Broadband network and data from all stations is openly distributed through the RESIF datacenter.",mds,True,findable,0,0,0,8,0,2018-06-05T15:07:27.000Z,2018-06-05T15:07:27.000Z,inist.resif,vcob,"Broad Band,France","[{'subject': 'Broad Band'}, {'subject': 'France'}]",['Approximately 9 active stations; 100 Mb/day.'],"['Miniseed data', 'stationXML metadata']"
-10.5061/dryad.q573n5tm6,Data from: Energy and physiological tolerance explain multi-trophic soil diversity in temperate mountains,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Aim â€“ Although soil biodiversity is extremely rich and spatially variable, both in terms of species and trophic groups, we still know little about its main drivers. Here, we contrast four long-standing hypotheses to explain the spatial variation of soil multi-trophic diversity: energy, physiological tolerance, habitat heterogeneity, and resource heterogeneity. Location â€“ French Alps Methods â€“ We built on a large-scale observatory across the French Alps (Orchamp) made of seventeen elevational gradients (~90 plots) ranging from low to very high altitude (280 - 3160 m), and encompassing large variations in climate, vegetation and pedological conditions. Biodiversity measurements of 36 soil trophic groups were obtained through environmental DNA metabarcoding. Using a machine learning approach, we assessed 1) the relative importance of predictors linked to different ecological hypotheses in explaining overall multi-trophic soil biodiversity, and 2) the consistency of the response curves across trophic groups. Results â€“ We showed that predictors associated with the four hypotheses had a statistically significant influence on soil multi-trophic diversity, with the strongest support for the energy and physiological tolerance hypotheses. Physiological tolerance explained spatial variation in soil diversity consistently across trophic groups, and was an especially strong predictor for bacteria, protists and microfauna. The effect of energy was more group-specific, with energy input through soil organic matter strongly affecting groups related to the detritus channel. Habitat and resource heterogeneity had overall weaker and more specific impacts on biodiversity with habitat heterogeneity affecting mostly autotrophs, and resource heterogeneity affecting bacterivores, phytophagous insects, enchytraeids and saprotrophic fungi. Main Conclusions â€“ Despite the variability of responses to the environmental drivers found across soil trophic groups, major commonalities on the ecological processes structuring soil biodiversity emerged. We conclude that among the major ecological hypotheses traditionally applied to aboveground organisms, some are particularly relevant to predict the spatial variation in soil biodiversity across the major soil trophic groups.",mds,True,findable,137,14,0,0,0,2022-03-25T18:17:21.000Z,2022-03-25T18:17:22.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['9894066 bytes'],
-10.6084/m9.figshare.24091564,Additional file 1 of Survey of adolescentsâ€™ needs and parentsâ€™ views on sexual health in juvenile idiopathic arthritis,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 1,mds,True,findable,0,0,0,0,0,2023-09-06T17:23:03.000Z,2023-09-06T17:23:03.000Z,figshare.ars,otjm,"Medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Science Policy'}]",['309248 Bytes'],
-10.6084/m9.figshare.14870669,Additional file 1 of Non-invasive ventilation versus high-flow nasal oxygen for postextubation respiratory failure in ICU: a post-hoc analysis of a randomized clinical trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Comparison between patients who were discharged alive from ICU and those who died in ICUs after post-extubation respiratory failure.,mds,True,findable,0,0,28,1,0,2021-06-29T04:34:59.000Z,2021-06-29T04:35:00.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Marine Biology,Cancer,Infectious Diseases,FOS: Health sciences,Virology,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Marine Biology'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",['212729 Bytes'],
-10.6084/m9.figshare.c.6235037,Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screening,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Prediction of patient survival from tumor molecular â€˜-omicsâ€™ data is a key step toward personalized medicine. Cox models performed on RNA profiling datasets are popular for clinical outcome predictions. But these models are applied in the context of â€œhigh dimensionâ€, as the number p of covariates (gene expressions) greatly exceeds the number n of patients and e of events. Thus, pre-screening together with penalization methods are widely used for dimensional reduction. Methods In the present paper, (i) we benchmark the performance of the lasso penalization and three variants (i.e., ridge, elastic net, adaptive elastic net) on 16 cancers from TCGA after pre-screening, (ii) we propose a bi-dimensional pre-screening procedure based on both gene variability and p-values from single variable Cox models to predict survival, and (iii) we compare our results with iterative sure independence screening (ISIS). Results First, we show that integration of mRNA-seq data with clinical data improves predictions over clinical data alone. Second, our bi-dimensional pre-screening procedure can only improve, in moderation, the C-index and/or the integrated Brier score, while excluding irrelevant genes for prediction. We demonstrate that the different penalization methods reached comparable prediction performances, with slight differences among datasets. Finally, we provide advice in the case of multi-omics data integration. Conclusions Tumor profiles convey more prognostic information than clinical variables such as stage for many cancer subtypes. Lasso and Ridge penalizations perform similarly than Elastic Net penalizations for Cox models in high-dimension. Pre-screening of the top 200 genes in term of single variable Cox model p-values is a practical way to reduce dimension, which may be particularly useful when integrating multi-omics.",mds,True,findable,0,0,0,0,0,2022-10-06T07:36:19.000Z,2022-10-06T07:36:20.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Pharmacology,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,80699 Information Systems not elsewhere classified,FOS: Computer and information sciences,19999 Mathematical Sciences not elsewhere classified,FOS: Mathematics,Cancer","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '80699 Information Systems not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '19999 Mathematical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}]",,
-10.5281/zenodo.10694528,NeoGeographyToolkit/StereoPipeline: 2024-02-22-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,1,0,2024-02-22T18:01:02.000Z,2024-02-22T18:01:02.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_raman_alstonite,Raman bandlist of Alstonite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Alstonite at 295K,mds,True,findable,0,0,0,0,0,2023-12-27T09:09:01.000Z,2023-12-27T09:09:03.000Z,inist.sshade,mgeg,"Alstonite,Barium cation,Calcium cation,Carbonate anion,Barium(2+) cation,Calcium(2+) cation,22541-12-4,14127-61-8,Ba2+,Ca2+,(CO3)2-,BaCa(CO3)2,Alstonite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,-Alstonite- group,14.02.05.01,05.AB.35,Raman scattering,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Alstonite', 'subjectScheme': 'name'}, {'subject': 'Barium cation', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Barium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '22541-12-4', 'subjectScheme': 'CAS number'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': 'Ba2+', 'subjectScheme': 'formula'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'BaCa(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'Alstonite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': '-Alstonite- group', 'subjectScheme': 'Dana group'}, {'subject': '14.02.05.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.35', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.26302/sshade/bandlist_raman_ch4_ch4-i,Raman band list of CH4 in natural solid CH4 (phase I),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR Raman band list of CH4 in natural solid CH4 (phase I) at 77 K,mds,True,findable,0,0,0,0,0,2023-04-21T07:13:31.000Z,2023-04-21T07:13:32.000Z,inist.sshade,mgeg,"natural CH4 - phase I,Methane,Methane I ice,CH4-I,Methane,74-82-8,CH4,non polar molecular solid,molecular solids with apolar molecules,organic molecular solid,Raman scattering,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural CH4 - phase I', 'subjectScheme': 'name'}, {'subject': 'Methane', 'subjectScheme': 'name'}, {'subject': 'Methane I ice', 'subjectScheme': 'name'}, {'subject': 'CH4-I', 'subjectScheme': 'name'}, {'subject': 'Methane', 'subjectScheme': 'IUPAC name'}, {'subject': '74-82-8', 'subjectScheme': 'CAS number'}, {'subject': 'CH4', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.57745/r1nikk,Fichiers modÃ¨les de QGIS et Excel pour l'application du protocole d'aide Ã  la dÃ©cision pour le traitement des embÃ¢cles (protocole de Wohl et al. 2019 adaptÃ© par Benaksas et Piton 2022),Recherche Data Gouv,2023,,Dataset,,"Ces donnÃ©es sont trois documents modÃ¨les et les fichiers sources associÃ©s permettant de faciliter l'application du protocole de Wohl et al. (2019) tel que adaptÃ© par Benaksas &amp; Piton (2022): 2export_csv_vers_shp.qgz est un projet QGIS qui facilite la transformation en donnÃ©es SIG des fichiers textes (format .csv) importÃ©s de l'application Epicollect 5 tel que dÃ©crit dans l'Annexe C du rapport de Benaksas et Piton (2023) , 1NOM_PROJET.gqz est un projet QGIS qui facilite l'affichage et l'interprÃ©tation des donnÃ©es SIG compilÃ©es prÃ©alablement aux missions de terrains et sur le terrain, par exemple via l'application Epicollect 5 tel que dÃ©crit dans l'Annexe C u rapport de Benaksas et Piton (2023) , 3ResultatsProtocole_epicollecte.xlsx est un tableur Excel qui facilite la notation des indicateurs de l'approche multicritÃ¨re, la modification Ã©ventuelle des pondÃ©rations entre sous-critÃ¨res, mÃ¨ne le calcul des scores pondÃ©rÃ©s et prÃ©parent les sorties graphiques. Des conseils d'utilisations sont dÃ©crit dans l'Annexe B u rapport de Benaksas et Piton (2023) ,",mds,True,findable,42,3,0,0,0,2023-03-06T11:05:39.000Z,2023-03-06T14:03:34.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.8269409,Data Artifact: Rebasing Microarchitectural Research with Industry Traces,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Data Artifact of the paper ""Rebasing Microarchitectural Research with Industry Traces"",Â published at theÂ 2023 IEEE International Symposium on Workload Characterization. It includes the original CVP-1 traces used in the paper.
-Note: the improved converted traces used in the paper are available at https://doi.org/10.5281/zenodo.10199624.
-Abstract:Â Microarchitecture research relies on performance models with various degrees of accuracy and speed. In the past few years, one such model, ChampSim, has started to gain significant traction by coupling ease of use with a reasonable level of detail and simulation speed. At the same time, datacenter class workloads, which are not trivial to set up and benchmark, have become easier to study via the release of hundreds of industry traces following the first Championship Value Prediction (CVP-1) in 2018. A tool was quickly created to port the CVP-1 traces to the ChampSim format, which, as a result, have been used in many recent works. We revisit this conversion tool and find that several key aspects of the CVP-1 traces are not preserved by the conversion. We therefore propose an improved converter that addresses most conversion issues as well as patches known limitations of the CVP-1 traces themselves. We evaluate the impact of our changes on two commits of ChampSim, with one used for the first Instruction Championship Prefetching (IPC-1) in 2020. We find that the performance variation stemming from higher accuracy conversion is significant.",mds,True,findable,0,0,0,0,0,2023-08-23T07:41:12.000Z,2023-08-23T07:41:12.000Z,cern.zenodo,cern,"ChampSim,CVP-1 traces","[{'subject': 'ChampSim'}, {'subject': 'CVP-1 traces'}]",,
-10.5281/zenodo.3611936,Supplementary data for 'Results of the third Marine Ice Sheet Model Intercomparison Project (MISMIP+)',Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Datasets and model datasheets provided to the third Marine Ice Sheet Model Intercomparison Project (MISMIP+),mds,True,findable,0,0,0,0,0,2020-01-18T08:40:54.000Z,2020-01-18T08:40:55.000Z,cern.zenodo,cern,,,,
-10.15778/resif.zo2008,ARC Vanutu temporay experiment (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2011,en,Other,"Open Access,Creative Commons Attribution 4.0 International",Data were recorded during temporary experiments on the islands of Tanna and Ambrym (Vanuatu) in 2008,mds,True,findable,0,0,0,5,0,2018-04-11T08:50:36.000Z,2018-04-11T08:50:36.000Z,inist.resif,vcob,"Volcano Seismology,Yasur,Ambrym,Strombolian explosions","[{'subject': 'Volcano Seismology'}, {'subject': 'Yasur'}, {'subject': 'Ambrym'}, {'subject': 'Strombolian explosions'}]",,
-10.5281/zenodo.8095047,"Data from: Biochemical, structural and dynamical characterizations of the lactate dehydrogenase from Selenomonas ruminantium provide information about an intermediate evolutionary step prior to complete allosteric regulation acquisition in the super family of lactate and malate dehydrogenases.",Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This data accompanies the paper entitled <strong><em>Biochemical, structural and dynamical characterizations of the lactate dehydrogenase from Selenomonas ruminantium provide information about an intermediate evolutionary step prior to complete allosteric regulation acquisition in the super family of lactate and malate dehydrogenases.</em></strong> The zip archive contains the results of molecular dynamics simulations of the 2 systems investigated in the paper: <em>S. rum</em> and <em>T. mar</em> LDHs. The systems have been simulated at 315 K for <em>S. rum </em>and 340 K for <em>T. mar</em>. Final configurations of the proteins after productions are provided for all the systems in GRO Gromos87 format. Trajectories with the positions of the proteins every 100 ps are provided for all the systems in XTC gromacs format.",mds,True,findable,0,0,0,0,0,2023-06-29T12:34:24.000Z,2023-06-29T12:34:25.000Z,cern.zenodo,cern,"Allosteric regulation,lactate dehydrogenase,crystal structure,molecular dynamics,quaternary structure","[{'subject': 'Allosteric regulation'}, {'subject': 'lactate dehydrogenase'}, {'subject': 'crystal structure'}, {'subject': 'molecular dynamics'}, {'subject': 'quaternary structure'}]",,
-10.48380/061t-ae68,Pressure anomaly of the ATP hydrolysis rate facilitates life of extremophiles,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2022,en,Text,,"<p>Life is prevalent on Earth even in extreme environments, e.g., near black smokers. This biological community has to face temperatures of up to 120 Â°C and pressures of 40 MPa. To maintain vital reactions, extremophiles have developed varies mechanisms to survive. The stability of the energy-storing molecules adenosine triphosphate (ATP) and adenosine diphosphate (ADP) are of essential importance because reactions involving these phosphates constrain the range of life. ATP is limited by the non-enzymatic hydrolysis, which is kinetically enhanced at high temperatures. If this abiotic process is too rapid, metabolism as we know wonâ€™t be possible anymore. The effect of elevated temperatures on the hydrolysis rate constants of ATP is widely known and is best described by an Arrhenius relationship. In contrast to previous studies, our first findings showed a decelerating effect from 0 â€“ 60 MPa with a minimum in the reaction rate at 20 â€“ 40 MPa at 100 Â°C. The rate constants of the non-enzymatic hydrolysis of ATP are decreasing from 5.8 x 10-4 s-1 at 0.1 MPa to 4.2 x 10-4s-1 at 20 MPa at 100 Â°C. The corresponding half-lives are 1195 s and 20 MPa. This observation is extremely fascinating as Takai et al. (2008) have seen a similar pressure anomaly at extreme temperatures for Methanopyrus Kandleri.</p>
-",api,True,findable,0,0,0,0,0,2023-05-31T13:59:01.000Z,2023-05-31T13:59:01.000Z,mcdy.dohrmi,mcdy,,,,
-10.26302/sshade/bandlist_raman_n2_beta-n2,Raman band list of N2 in natural solid N2 (phase beta),SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR Raman band list of the isotopes of $N_2$ in natural solid $\beta-N2$,mds,True,findable,0,0,0,0,0,2023-05-08T15:31:59.000Z,2023-05-08T15:31:59.000Z,inist.sshade,mgeg,"natural N2 - phase beta,Nitrogen,Solid beta Nitrogen,$\beta$-phase,Dinitrogen,7727-37-9,N2,non polar molecular solid,molecular solids with apolar molecules,inorganic molecular solid,Raman scattering,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural N2 - phase beta', 'subjectScheme': 'name'}, {'subject': 'Nitrogen', 'subjectScheme': 'name'}, {'subject': 'Solid beta Nitrogen', 'subjectScheme': 'name'}, {'subject': '$\\beta$-phase', 'subjectScheme': 'name'}, {'subject': 'Dinitrogen', 'subjectScheme': 'IUPAC name'}, {'subject': '7727-37-9', 'subjectScheme': 'CAS number'}, {'subject': 'N2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5281/zenodo.4776419,PACT1D/PACT-1D-CALNEX: PACT-1D model version v1 for the CALNEX case study,Zenodo,2021,,Software,Open Access,"We present a new one-dimensional chemistry and transport model which performs surface chemistry based on molecular collisions and chemical conversion, allowing us to add detailed HONO formation chemistry at the ground. The model is called Platform for Atmospheric Chemistry and Transport in 1-Dimension (PACT-1D), which is used here for used CALNEX data interpretation as discussed in Tuite et al 2021 (DOI to follow).",mds,True,findable,0,0,0,0,0,2021-05-20T16:15:44.000Z,2021-05-20T16:25:53.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8239429,"pete-d-akers/chictaba-nitrate: CHICTABA transect, Antarctica, snow nitrate analysis",Zenodo,2023,,Software,Open Access,"Release v1.2. This version contains the data and script to reproduce all major analyses and figures for the CHICTABA nitrate analysis project and its associated publication of ""Photolytic modification of seasonal nitrate isotope cycles in East Antarctica"" by Akers et al. in Atmospheric Chemistry and Physics. Changes in v.1.2 are limited to the addition of a license.",mds,True,findable,0,0,0,1,0,2023-08-11T14:36:22.000Z,2023-08-11T14:36:23.000Z,cern.zenodo,cern,,,,
-10.25384/sage.22573164,sj-docx-1-dhj-10.1177_20552076231167009 - Supplemental material for Impact of a telerehabilitation programme combined with continuous positive airway pressure on symptoms and cardiometabolic risk factors in obstructive sleep apnea patients,SAGE Journals,2023,,Text,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Supplemental material, sj-docx-1-dhj-10.1177_20552076231167009 for Impact of a telerehabilitation programme combined with continuous positive airway pressure on symptoms and cardiometabolic risk factors in obstructive sleep apnea patients by FranÃ§ois Bughin, Monique Mendelson, Dany Jaffuel, Jean-Louis PÃ©pin, FrÃ©dÃ©ric Gagnadoux, FrÃ©dÃ©ric Goutorbe, Beatriz Abril, Bronia Ayoub, Alexandre Aranda, Khuder Alagha, Pascal PomiÃ¨s, FranÃ§ois Roubille, Jacques Mercier, Nicolas Molinari, Yves Dauvilliers, Nelly HÃ©raud and M Hayot in Digital Health",mds,True,findable,0,0,0,0,0,2023-04-07T00:07:22.000Z,2023-04-07T00:07:22.000Z,figshare.sage,sage,"111708 Health and Community Services,FOS: Health sciences,Cardiology,110306 Endocrinology,FOS: Clinical medicine,110308 Geriatrics and Gerontology,111099 Nursing not elsewhere classified,111299 Oncology and Carcinogenesis not elsewhere classified,111702 Aged Health Care,111799 Public Health and Health Services not elsewhere classified,99999 Engineering not elsewhere classified,FOS: Other engineering and technologies,Anthropology,FOS: Sociology,200299 Cultural Studies not elsewhere classified,FOS: Other humanities,89999 Information and Computing Sciences not elsewhere classified,FOS: Computer and information sciences,150310 Organisation and Management Theory,FOS: Economics and business,Science Policy,160512 Social Policy,FOS: Political science,Sociology","[{'subject': '111708 Health and Community Services', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cardiology'}, {'subject': '110306 Endocrinology', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '110308 Geriatrics and Gerontology', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111099 Nursing not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111299 Oncology and Carcinogenesis not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111702 Aged Health Care', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111799 Public Health and Health Services not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '99999 Engineering not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Other engineering and technologies', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Anthropology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '200299 Cultural Studies not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Other humanities', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '89999 Information and Computing Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '150310 Organisation and Management Theory', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Economics and business', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '160512 Social Policy', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Political science', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}]",['778615 Bytes'],
-10.5281/zenodo.3384633,Data from: Improved STEREO simulation with a new gamma ray spectrum of excited gadolinium isotopes using FIFRELIN,Zenodo,2019,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Supplemental material to the article â€œImproved STEREO simulation with a new gamma ray spectrum of excited gadolinium isotopes using FIFRELINâ€ The files available are aimed to simulate the de-excitation cascade following neutron capture on<sup> 155</sup>Gd and <sup>157</sup>Gd. Therefore, the FIFRELIN simulation was done for the <sup>156</sup>Gd and <sup>158</sup>Gd isotopes, with the initial condition of an excitation energy of E* = S<sub>n</sub>, the neutron separation energy. Please cite this publication when using the files provided below:<br> H. AlmazÃ¡n et al., Eur. Phys. J. A 55 (2019) 183, arXiv:1905.11967 [physics.ins-det] Please see Zenodo 6861341 for an improved version of the provided data.",mds,True,findable,0,0,0,0,0,2019-09-03T09:07:29.000Z,2019-09-03T09:07:30.000Z,cern.zenodo,cern,"Î³ transitions and level energies,Neutrino Detectors,Neutron Physics","[{'subject': 'Î³ transitions and level energies'}, {'subject': 'Neutrino Detectors'}, {'subject': 'Neutron Physics'}]",,
-10.17178/draixbleone_gal_rob_ssc_0719,Suspended Sediment Concentration of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Navratil et al. (2011) when using these data. Navratil O., Esteves M., Legout C., Gratiot N., NÃ©mery J., Willmore S., Grangeon T. (2011).  Global uncertainty analysis of suspended sediment monitoring using turbidimeter in a small mountainous river catchment. Journal of Hydrology. 398: 246-259.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This suspended sediment concentration data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:50.000Z,2020-09-15T15:58:52.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Sediments,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/amma-catch.ae.h2oflux_g,"Surface flux dataset (including surface energy, water vapor, and carbon fluxes), at the Agoufou station, Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2007,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sahel. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2021-11-15T12:52:04.000Z,2021-11-15T12:52:05.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian/Saharan climate,Wind Speed,Sensible Heat Flux,Carbon Dioxide Flux,Latent Heat Flux,Wind Direction,Air Temperature","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Flux', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.23708/000521,Paprika - Preshine hydrology data sets in the Everest Region (Nepal). 2010-2018,Institut de recherche pour le dÃ©veloppement (IRD); Nepalese Academy of Science and Technology (NAST); Centre National de la Recherche Scientifique (CNRS); UniversitÃ© de Montpellier (UM); UniversitÃ© Grenoble-Alpes (UGA); Meteo-France; Department of Hydrology and Meteorology â€“ Nepal (DHM),2017,,Dataset,,"The successive Paprika (2010-2013) and Preshine (2014-2018) projects, funded by the Agence Nationale de la Recherche - France, have installed and managed  several hydrometerological stations in the Upper Solukhumbu district (Nepal), including the West and South Faces of Mount Everest. Both projects aimed to improve knowledge on the water resources and their uses by local populations, the Paprika project being interested in regional scale and the Preshine project in local scale. The database provides discharge data for 5 hydrological basins: Imja Khola at Dingboche (area = 140.4 kmÂ², altitude = 4365m), Khumbu Khola at Pheriche (144.9 kmÂ², 4216m), Tauche Khola at Pangboche (4.387 kmÂ², 4000m), Dudh Koshi at Phakding (1217 kmÂ², 2620m) and Khari Khola at Kharikhola (18.2 kmÂ², 1981m). It also provides meteorological data (precipitation and air temperature) for 14 stations: Kharikhola (2078m), Mera School (2249m), Ballukop (altitude=2575m), Monastry Namdrolling (2561m), Phakding (2619m), Paramdingma (2869m),  Monastry Pangom (3022m), Pangboche (3950m), Pheric he (4260m), Pyramid (5035m), Mera La (5350m), Changri Nup A (5360m), Naulek (5360), Changri Nup B (5472m), Mera Summit (6352m). The data are available at  hourly and daily time steps under certain conditions with the signature of an agreement.",fabricaForm,True,findable,0,0,0,1,0,2017-11-09T10:55:30.000Z,2017-11-13T09:03:09.000Z,inist.ird,vcob,,,,
-10.17178/emaa_o_fine_5038a7a8,"Fine excitation of O by H, He, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",3 fine energy levels / 2 radiative transitions / 3 collisional transitions for para-H2 (21 temperatures in the range 10-8000K) / 3 collisional transitions for ortho-H2 (21 temperatures in the range 10-8000K) / 3 collisional transitions for H (21 temperatures in the range 10-8000K) / 3 collisional transitions for He (21 temperatures in the range 10-8000K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:22.000Z,2021-11-17T14:01:23.000Z,inist.osug,jbru,"target O,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,collider.3 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target O', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'collider.3 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.59146,linbox: linbox-1.4.2,Zenodo,2016,,Software,Open Access,"LinBox - C++ library for exact, high-performance linear algebra",mds,True,findable,0,0,1,0,0,2016-07-30T19:05:23.000Z,2016-07-30T19:05:24.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_zed_20230704_01,NIR reflectance spectra of Mercury minerals analogs heated up to 673 K,SSHADE/DAYSY (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",NIR reflectance spectra of Mercury minerals analogs (anorthite 80 and synthetic volcanic glasses) heated by 50K step up to 673 K.,mds,True,findable,0,0,2,0,0,2023-07-10T14:18:54.000Z,2023-07-10T14:18:54.000Z,inist.sshade,mgeg,"laboratory measurement,confocal reflection,micro-imaging,NIR,Near-Infrared,reflectance factor,Bytownite,volcanic glasses,mineral,natural terrestrial,laboratory,silicate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'confocal reflection', 'subjectScheme': 'main'}, {'subject': 'micro-imaging', 'subjectScheme': 'main'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Bytownite', 'subjectScheme': 'name'}, {'subject': 'volcanic glasses', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'silicate', 'subjectScheme': 'compound type'}]",['28 spectra'],['ASCII']
-10.5281/zenodo.5763672,Dataset for Spatial Heterogeneity of Uplift Pattern in the Western European Alps Revealed by InSAR Time Series Analysis,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",ZIP file with InSAR raw and smoothed final velocity solution values,mds,True,findable,0,0,0,0,0,2021-12-07T10:30:20.000Z,2021-12-07T10:30:21.000Z,cern.zenodo,cern,"Insar velocities,Western Alps","[{'subject': 'Insar velocities'}, {'subject': 'Western Alps'}]",,
-10.17178/emaa_(13c)h-plus_rotation_4b641db0,Rotation excitation of [13C]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 91 collisional transitions for H (12 temperatures in the range 10-3000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:26.000Z,2021-11-18T13:34:27.000Z,inist.osug,jbru,"target [13C]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_zy_20180207_000,"VIS-NIR reflectance spectra collected during a sublimation experiment with ternary mixtures of CO2 frost, spherical water ice particles and JSC Mars-1 regolith simulant",SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Four different ternary mixtures of CO2 frost, H2O ice and the JSC Mars-1 regolith simulant were produced and the samples were all submitted to slow sublimation at low temperature and ambient pressure. Multispectral/low-res VIS-NIR reflectance spectra were recorded every 30 minutes.",mds,True,findable,0,0,0,0,0,2023-04-28T13:57:28.000Z,2023-04-28T13:57:29.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,solid CO2,water ice,Magnetite,Ulvospinel,Anorthite,Olivine,Ferrihydrite,Augite,Orthopyroxenes,solid,laboratory,natural terrestrial,inorganic molecular solid,oxide-hydroxide,tektosilicate,nesosilicate,inosilicate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'reflectance factor', 'subjectScheme': 'var'}, {'subject': 'solid CO2', 'subjectScheme': 'name'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'Magnetite', 'subjectScheme': 'name'}, {'subject': 'Ulvospinel', 'subjectScheme': 'name'}, {'subject': 'Anorthite', 'subjectScheme': 'name'}, {'subject': 'Olivine', 'subjectScheme': 'name'}, {'subject': 'Ferrihydrite', 'subjectScheme': 'name'}, {'subject': 'Augite', 'subjectScheme': 'name'}, {'subject': 'Orthopyroxenes', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'oxide-hydroxide', 'subjectScheme': 'compound type'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'nesosilicate', 'subjectScheme': 'compound type'}, {'subject': 'inosilicate', 'subjectScheme': 'compound type'}]",['48 spectra'],['ASCII']
-10.26302/sshade/experiment_dt_20170706_006,Fe K edge XAS transmission of Fe metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T07:49:11.000Z,2019-11-16T07:49:11.000Z,inist.sshade,mgeg,"commercial,metal,metallic Fe,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'metal'}, {'subject': 'metallic Fe'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.17178/amma-catch.pa.schem_snfd,"Soil chemistry dataset (Carbon, Nitrogen and Phosphorus contents), in the Ferlo site (Dahra station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2015,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","1) Characterize dynamics of C and N contents in soil in relation with rainfall, soil moisture, vegetation and livestock attendance. C &amp; N dynamics through mineralisation of the organic matter are important factors that control vegetation and soil functioning and surface-atmosphere interaction. 2) Soil P content also controls vegetation productivity.",mds,True,findable,0,0,1,0,0,2022-12-09T16:47:55.000Z,2022-12-09T16:47:56.000Z,inist.osug,jbru,"Carbon and Nitrogen cycles, soil moisture, rainfall, vegetation,Sahelian climate,Phosphorus (P) content from 0 to 10 cm depth,Nitrate (NO3-) content from 0 to 10 cm depth,Carbon (C) content from 0 to 10 cm depth,Carbon (C) content from 30 to 40 cm depth,Phosphorus (P) content from 30 to 40 cm depth,Ammonium (NH4+) content from 0 to 10 cm depth,Nitrogen (N) content from 0 to 10 cm depth,Phosphorus (P) content from 20 to 30 cm depth,Nitrate (NO3-) content from 50 to 60 cm depth,Carbon (C) content from 20 to 30 cm depth,Carbon (C) content from 50 to 60 cm depth,Nitrate (NO3-) content from 30 to 40 cm depth,Nitrogen (N) content from 50 to 60 cm depth,Phosphorus (P) content from 50 to 60 cm depth,Nitrogen (N) content from 30 to 40 cm depth,Nitrate (NO3-) content from 20 to 30 cm depth,Ammonium (NH4+) content from 50 to 60 cm depth,Ammonium (NH4+) content from 20 to 30 cm depth,Ammonium (NH4+) content from 30 to 40 cm depth,Nitrogen (N) content from 20 to 30 cm depth","[{'subject': 'Carbon and Nitrogen cycles, soil moisture, rainfall, vegetation', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Phosphorus (P) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Phosphorus (P) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 0 to 10 cm depth', 'subjectScheme': 'var'}, {'subject': 'Phosphorus (P) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Carbon (C) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Phosphorus (P) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrate (NO3-) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 50 to 60 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 20 to 30 cm depth', 'subjectScheme': 'var'}, {'subject': 'Ammonium (NH4+) content from 30 to 40 cm depth', 'subjectScheme': 'var'}, {'subject': 'Nitrogen (N) content from 20 to 30 cm depth', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5061/dryad.d2547d810,Adult survival in migratory caribou is negatively associated with MHC functional diversity,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"The genes of the major histocompatibility complex (MHC) are involved in acquired, specific immunity in vertebrates. Yet, only a few studies have investigated the fitness consequences of MHC gene diversity in wild populations. Here, we looked at the association between annual survival and body mass and MHC-DRB exon 2 (MHC-DRB) genetic diversity, obtained from high-throughput sequencing, in two declining migratory caribou (Rangifer tarandus) herds. To disentangle the potential direct and general effects of MHC-DRB genetic diversity, we compared different indices of diversity that were either based on DNA-sequence variation or on physicochemical divergence of the translated peptides, covering a gradient of allelic to functional diversity. We found that i) body mass was not related to MHC-DRB diversity or genotype and that ii) adult survival probability was negatively associated with PAM distance, a corrected distance that considers the likelihood of each amino acid substitution to be accepted by the processes of natural selection. In addition, we found no evidence of fluctuating selection in time on MHC-DRB. We concluded that direct effects were involved in the negative relationship between MHC functional diversity and survival, although the mechanism underlying this result remains unclear. A possible explanation could be that individuals with higher MHC diversity suffer higher costs of immunity (immunopathology). Further studies are needed to investigate this hypothesis. Our results suggest that genetic diversity is not always beneficial even in genes that are supposed to be strongly shaped by balancing selection.",mds,True,findable,186,20,0,0,0,2020-07-23T23:21:43.000Z,2020-07-23T23:21:45.000Z,dryad.dryad,dryad,,,['40773 bytes'],
-10.17178/emaa_ortho-nh3_hyperfine_22b1dfb7,Hyperfine excitation of ortho-NH3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 47 radiative transitions / 300 collisional transitions for para-H2 (11 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:55.000Z,2023-12-07T15:51:56.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.10634904,Network Design with Integer Frank Wolfe,MATH+ Cluster of Excellence,2024,,Software,Creative Commons Attribution 4.0 International,Github Repository for the project Network Design with Integer Frank Wolfe. Associated with the paper https://arxiv.org/abs/2402.00166.,api,True,findable,0,0,0,1,1,2024-02-21T16:38:48.000Z,2024-02-21T16:38:48.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10485577,"Fig. 2 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016,,Image,License Not Specified,"Fig. 2. ceQORH activity in the presence C9 and C10 Oi,Î²-unsaturated carbonyls. (A) ceQORH activity was measured as a function of trans-2-nonenal concentration. k = 0.04 Â± 0.005 s â€“1, K = 66 Â± 25 ÂµM. (B) ceQORH activity was measured as a function of trans-3-decen-2-one concentration. The apparent affinity was too low to cat M determine KM and kcat parameters accurately. (C) ceQORH activity was measured as a function of 4-hydroxynonenal concentration. The apparent affinity for this molecule was very low and neither k nor K could be determined. (D) ceQORH activity was measured as a function of 4-oxo-nonenal concentration. k = 14 Â± 1 s â€“1, K = 190 Â± 50 ÂµM.",api,True,findable,0,0,0,0,0,2024-01-11T04:59:34.000Z,2024-01-11T04:59:34.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.18709/perscido.2020.06.ds299,GreEn-ER - Dataset of electricity consumption,PerSciDo,2020,en,Dataset,,Dataset of electricity consumption of the GreEn-ER Building Located in Grenoble,fabrica,True,findable,0,0,0,0,0,2020-06-18T11:27:55.000Z,2020-06-18T11:27:55.000Z,inist.persyval,vcob,"Computer Science,Engineering","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Engineering'}]",['62.42 MB'],['csv']
-10.5281/zenodo.8408515,Simulated hydrological effects of grooming and snowmaking in a ski resort on the local water balance,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset to reproduce Figure 9 in Morin et. al, 2023, Simulated hydrological effects of grooming and snowmaking in a ski resort on the local water balance, Hydro. Earth. Syst. Sci.",mds,True,findable,0,0,0,0,0,2023-10-04T22:22:16.000Z,2023-10-04T22:22:16.000Z,cern.zenodo,cern,"climate change, ski tourism, water, hydrology, snowmaking","[{'subject': 'climate change, ski tourism, water, hydrology, snowmaking'}]",,
-10.26302/sshade/experiment_lm_20221111_0001,"Vis-NIR reflectance spectra of pellets of olivine (0.1-1 mm), magnesite (inf. 0.1 mm) and antigorite (inf. 0.1 mm) mixtures",SSHADE/ROMA (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra (i=0Â°, e=30Â°, az=0Â°) of olivine, magnesite and antigorite mixtures (pellets), in various fractions.",mds,True,findable,0,0,0,0,0,2022-11-11T22:43:34.000Z,2022-11-11T22:43:34.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,antigorite,carbonate,magnesite,nesosilicate,olivine,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'antigorite'}, {'subject': 'carbonate'}, {'subject': 'magnesite'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['45 spectra'],['ASCII']
-10.26302/sshade/experiment_jg_20090302_004,"Vis-NIR reflectance spectra of Gumburo Hills (Ogaden, Ethiopia) basalt cut",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Gumburo Hills (Ogaden, Ethiopia) basalts. The samples are cobble fragments sampled from the same outcrop. The experiment contains spectra of the fresh surface of the samples.",mds,True,findable,0,0,0,0,0,2019-12-09T05:13:18.000Z,2019-12-09T05:13:18.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,rhonite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'rhonite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['4 spectra'],['ASCII']
-10.26302/sshade/experiment_bs_20201121_013,"Near-infrared reflectance spectra at low temperature (300-80K) of Mascagnite and FE-Ammmonium sulfate [(NH4)2SO4] powders with three grain size ranges (32-80, 80-125 and 125-150Âµm)",SSHADE/CSS (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Near-infrared reflectance spectra at low temperature of Mascagnite (290-223K) and FE-Ammmonium sulfate (222-80K) [(NH4)2SO4] powder with 32-80 Âµm grain size and Mascagnite at room temperature with 80-125Âµm and 125-150Âµm grain sizes,mds,True,findable,0,0,0,0,0,2022-04-23T08:17:08.000Z,2022-04-23T08:17:09.000Z,inist.sshade,mgeg,"natural terrestrial,sulfate,Mascagnite,Ammmonium sulfate (phase FE),laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'natural terrestrial'}, {'subject': 'sulfate'}, {'subject': 'Mascagnite'}, {'subject': 'Ammmonium sulfate (phase FE)'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['38 spectra'],['ASCII']
-10.5061/dryad.b2rbnzsfw,Dataset: Inverse responses of species richness and niche specialization to human development,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Humans impact biodiversity by altering land use and introducing nonnative species. Yet the extent to which coexistence processes, such as competition and niche shifts, mediate these relationships is not clear. This dataset was used in a study that aims to compare how human development influences wetland plant diversity by examining patterns of species richness, niche specialization, and nonnative species occurrences along a human development gradient. This dataset can be used to analyzed species richness and niche specialization (a measure of the range of human development extents over which a species occurs) patterns from species occurrence data across 1582 wetlands in Alberta, Canada. Associations between human development extent and species richness, niche specialization, and nonnative species can be tested using linear mixed models. Also, nonmetric multidimensional scaling ordination can be applied from raw data (see usage notes) to examine whether community composition differed among wetlands surrounded by different human development extents. Note that human development data are accessible only through a data sharing agreement with ABMI. See the readme document for more details on how to obtain assess to these data. Results of these analyses can be found in the corresponding publication: Inverse responses of species richness and niche specialization to human development, Journal of Biogeography. https://doi.org/10.1111/jbi.14240",mds,True,findable,183,26,0,1,0,2021-07-26T20:01:07.000Z,2021-07-26T20:01:08.000Z,dryad.dryad,dryad,"Ecology,FOS: Biological sciences,ABMI,alien / exotic / non-native species,Richness,Alberta,Canada,Diversity patterns,communities,assembly rules,peatlands","[{'subject': 'Ecology', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'ABMI'}, {'subject': 'alien / exotic / non-native species'}, {'subject': 'Richness'}, {'subject': 'Alberta', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Canada', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Diversity patterns'}, {'subject': 'communities'}, {'subject': 'assembly rules'}, {'subject': 'peatlands'}]",['273198 bytes'],
-10.17178/emaa_c(13c)h_hyperfine_2bb79b69,Hyperfine excitation of C[13C]H by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",98 hyperfine energy levels / 119 radiative transitions / 4752 collisional transitions for para-H2 (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:34.000Z,2023-12-07T15:50:35.000Z,inist.osug,jbru,"target C[13C]H,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[13C]H', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.5526763,robertxa/Pecube-Plot-Xav: Pecube plots,Zenodo,2021,,Software,Open Access,Python scripts to plot PECUBE modeling results,mds,True,findable,0,0,0,0,0,2021-09-24T14:41:32.000Z,2021-09-24T14:41:33.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5242879,Finnish DBnary archive in original Lemon format,Zenodo,2021,fi,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Finnish language edition, ranging from 3rd September 2012 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T10:11:12.000Z,2021-08-24T10:11:13.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.6084/m9.figshare.13632735,Additional file 2 of Comparison between regional citrate anticoagulation and heparin for intermittent hemodialysis in ICU patients: a propensity score-matched cohort study,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 2: Table S1. Characteristics of patients in the two study periods.,mds,True,findable,0,0,26,1,0,2021-01-23T04:31:23.000Z,2021-01-23T04:31:28.000Z,figshare.ars,otjm,"Space Science,Medicine,Biological Sciences not elsewhere classified,Mathematical Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['20085 Bytes'],
-10.6084/m9.figshare.c.6950873,Effects of a physical activity and endometriosis-based education program delivered by videoconference on endometriosis symptoms: the CRESCENDO program (inCRease physical Exercise and Sport to Combat ENDOmetriosis) protocol study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Endometriosis is a chronic disease characterized by growth of endometrial tissue outside the uterine cavity which could affect 200 million women (The term â€œwomanâ€ is used for convenience. Individuals gendered as man or as nonbinary can also suffer from this disease) worldwide. One of the most common symptoms of endometriosis is pelvic chronic pain associated with fatigue. This pain can cause psychological distress and interpersonal difficulties. As for several chronic diseases, adapted physical activity could help to manage the physical and psychological symptoms. The present study will investigate the effects of a videoconference-based adapted physical activity combined with endometriosis-based education program on quality of life, pain, fatigue, and other psychological symptoms and on physical activity. Methods This multicentric randomized-controlled trial will propose to 200 patients with endometriosis to be part of a trial which includes a 6-month program with 45 min to more than 120 min a week of adapted physical activity and/or 12 sessions of endometriosis-based education program. Effects of the program will be compared to a control group in which patients will be placed on a waiting list. All participants will be followed up 3 and 6 months after the intervention. None of the participants will be blind to the allocated trial arm. The primary outcome measure will be quality of life. Secondary outcomes will include endometriosis-related perceived pain, fatigue, physical activity, and also self-image, stereotypes, motivational variables, perceived support, kinesiophobia, basic psychological need related to physical activity, and physical activity barriers. General linear models and multilevel models will be performed. Predictor, moderator, and mediator variables will be investigated. Discussion This study is one of the first trials to test the effects of a combined adapted physical activity and education program for improving endometriosis symptoms and physical activity. The results will help to improve care for patients with endometriosis. Trial registration ClinicalTrials.gov, NCT05831735 . Date of registration: April 25, 2023",mds,True,findable,0,0,0,0,0,2023-11-28T04:40:38.000Z,2023-11-28T04:40:38.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Physiology,Science Policy,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Science Policy'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}]",,
-10.17178/emaa_sio_rotation_424f5a89,"Rotation excitation of SiO by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",41 rotation energy levels / 40 radiative transitions / 210 collisional transitions for para-H2 (17 temperatures in the range 5-300K) / 210 collisional transitions for ortho-H2 (17 temperatures in the range 5-300K) / 292 collisional transitions for electron (11 temperatures in the range 10-2000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:25.000Z,2022-02-07T11:26:26.000Z,inist.osug,jbru,"target SiO,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SiO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.48380/7gdm-j630,"Key role of Fe-carbonates in natural H2 production? Evidence from the spatial link between barren ground depressions, gold deposit and H2 emissions",Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>Even if measurements of high H<sub>2</sub> concentrations in continental rocks have significantly increased in the last decade, the origin of H<sub>2</sub> remains enigmatic in this context. Here we show that the localities in continental rocks where H<sub>2</sub>-rich gases have been reported are mainly located near orogenic gold deposits. Two types of geomorphological features were identified near orogenic gold deposits on satellite images. They consist in both barren ground depressions and high densities of self-organized, small (< 20 m in diameter) circular- and comet-shaped white spots in 32 and 7 localities, respectively. Fe-carbonates commonly occur near gold deposits since gold is transported in CO<sub>2</sub>-rich fluids. Thermodynamic modelling reveal here that they can further dissolve in the presence of aqueous fluid to produce magnetite and up to ~ 1 mole of H<sub>2 </sub>per kg of rock. This reaction leads to a volume decrease of ~ 50 %. Based on these findings, we propose that Fe-carbonate dissolution could be the primary source of H<sub>2</sub> in orogenic gold deposit areas, and involved in the formation of the geomorphological structures reported here. The association between H<sub>2</sub>-rich gas and ground depressions was also observed near other formations containing Fe-carbonates such as iron formations and carbonatites. This suggests that H<sub>2</sub> production through Fe-carbonate dissolution is not restricted to gold deposits. The global H<sub>2</sub> production in crustal rocks associated with Fe-carbonate alteration is estimated to 3 x 10<sup>5</sup> mol/yr.</p>
-",api,True,findable,0,0,0,0,0,2023-12-11T21:15:35.000Z,2023-12-11T21:15:35.000Z,mcdy.dohrmi,mcdy,,,,
-10.6096/mistrals-hymex.1438,Auzon data paper,Mistrals,2016,en,Dataset,"The individual datasets correspond to data collected by a specific instrument, a network of instruments or a type of GIS descriptors (see the attached pdf document for the list of individual datasets). This granularity enables to associate each dataset with a Principal Investigator that is very familiar with the data and who will be an essential resource for any user in case of need. In addition, the added-value dataset corresponding to the results of the rainfall re-analysis for the 2007-2014 period has been included. All the individual datasets are available through the Hymex database (http://mistrals.sedoo.fr/HyMeX/). Most of the individual datasets have â€œpublicâ€ access. A few of them are subject to the registration step of the Hymex database as â€œAssociated scientistsâ€ (http://mistrals.sedoo.fr/HyMeX/Data-Policy/HyMeX_DataPolicy.pdf). Additionally a bundling service was performed to facilitate the use of the data. The bundled data include the most commonly used data in hydrometeorological and hydrological studies. The bundled data presents the advantage of gathering data in ASCII and cartesian format, and in a single coordinate system. The bundled data are selected for the spatial and temporal windows presented in the paper since some individual datasets have different extents. 12 individual datasets out of 41 presented in the paper are not part of these bundled data since the effort to prepare the data was too heavy and their potential use is more restricted. These datasets remain accessible individually even though they are not necessarily in the same format and with the same extent (Polar versus Cartesian and coordinate system). The bundled data are organized in two zip files: the â€œzip1â€ file is for the data with â€œpublicâ€ access while the â€œzip2â€ file is for the data subject to the registration step of the Hymex database as â€œAssociated scientistsâ€.,HyMeX Data and Publication Policy / Associated scientists","A high space-time resolution dataset linking meteorological forcing and hydro-sedimentary response in a mesoscale Mediterranean catchment (Auzon) of the ArdÃ¨che region, France is released. This dataset spans the period 1 January 2011-31 December 2014. Rainfall data include continuous precipitation measured by rain gauges (5 min time step for the research network of 21 rain gauges and 5 min or 1h time step for the operational network of 10 rain gauges), S-band Doppler dual-polarization radars (1 kmÂ², 5 min resolution), disdrometers (16 sensors working at 30s or 1 min time step) and Micro Rain Radars (5 sensors, 100 m height resolution). Additionally, during the special observation period (SOP-1) and enhanced observation period (Sep-Dec 2012, Sep-Dec 2013) of the HyMeX (Hydrological Cycle in the Mediterranean Experiment) project, two X-band radars provided precipitation measurements at very fine spatial and temporal scales (1 ha, 5 min). Meteorological data are taken from the operational surface weather observation stations of MÃ©tÃ©o-France (including 2-m air temperature, atmospheric pressure, 2-m relative humidity, 10-m wind speed and direction, global radiation) at the hourly time resolution (6 stations in the region of interest). The monitoring of surface hydrology and suspended sediment is multi-scale and based on nested catchments. Three hydrometric stations measure water discharge at a 2 to 10 min time resolution. Two of these stations also measure additional physico-chemical variables (turbidity, temperature, conductivity). Two experimental plots monitor overland flow and erosion at 1 min time resolution on a hillslope with vineyard. A network of 11 sensors installed in the intermittent hydrographic network continuously measures water level and water temperature in headwater subcatchments (from 0.17 kmÂ² to 116 kmÂ²) at a time resolution of 2-5 min. A network of soil moisture sensors enable the continuous measurement of soil volumetric water content at 20 min time resolution at 9 sites. Additionally, opportunistic observations (soil moisture measurements and stream gauging) were performed during floods between 2012 and 2014.<br />
-<br />
-Observing strategy: <br />
-The dataset was produced to improve the understanding of the hydrological processes leading to flash floods and the relation between rainfall, runoff, erosion and sediment transport in a mesoscale catchment (Auzon, 116 kmÂ²) of the Mediterranean region. The data are particularly appropriate for understanding the rainfall variability in time and space at fine-scales, improving areal rainfall estimations and progressing in distributed hydrological and erosion modelling.",fabricaForm,True,findable,0,0,2,1,0,2016-07-15T08:47:50.000Z,2016-07-15T08:47:55.000Z,inist.omp,jbru,Atmospheric conditions,[{'subject': 'Atmospheric conditions'}],,['ASCII']
-10.5061/dryad.6226d,"Data from: Tempo and mode of genome evolution in a 50,000-generation experiment",Dryad,2017,en,Dataset,Creative Commons Zero v1.0 Universal,"Adaptation by natural selection depends on the rates, effects and interactions of many mutations, making it difficult to determine what proportion of mutations in an evolving lineage are beneficial. Here we analysed 264 complete genomes from 12 Escherichia coli populations to characterize their dynamics over 50,000 generations. The populations that retained the ancestral mutation rate support a model in which most fixed mutations are beneficial, the fraction of beneficial mutations declines as fitness rises, and neutral mutations accumulate at a constant rate. We also compared these populations to mutation-accumulation lines evolved under a bottlenecking regime that minimizes selection. Nonsynonymous mutations, intergenic mutations, insertions and deletions are overrepresented in the long-term populations, further supporting the inference that most mutations that reached high frequency were favoured by selection. These results illuminate the shifting balance of forces that govern genome evolution in populations adapting to a new environment.",mds,True,findable,1536,299,1,1,0,2016-06-16T16:29:13.000Z,2016-06-16T16:29:20.000Z,dryad.dryad,dryad,"Microbiology,FOS: Biological sciences","[{'subject': 'Microbiology', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['27771696 bytes'],
-10.5281/zenodo.4655840,Eye-tracker data in information seeking tasks on texts (in French),Zenodo,2021,fr,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Description of eye-movement data from the reading task (so called â€œParis experimentâ€)</strong> <em>File</em>: em-y35-fasttext.csv The experiment is described in Frey <em>et al.</em> (2013). To summarize the experiment: Twenty-one healthy adults participated in the experiment, all French native speakers. Data of six participants were discarded because they did not follow the rules of the experiment thoroughly or data was too noisy during the acquisition with the eye tracker. The whole experiment was reviewed and approved by the ethics committee of Grenoble CHU (â€œCentre Hospitalier Universitaireâ€) (RCB: nÂ° 2011-A00845-36). 180 short texts were extracted from the French newspaper <em>Le Monde</em>, edition 1999. Texts were given a topic and were constructed around three types, those which were highly related (HR, f in French) to the topic, or moderately related (MR, m in French) to the topic, or unrelated (UR, a in French) to the topic. There were 60 texts of each type, hence 180 in total. The semantic relatedness of the text to the topic was controlled by Latent Semantic Analysis.<br> The goal of the experiment was to assess as soon as possible during reading whether the text was or not related to a given topic. First the topic was presented to participants and then they clicked to start the trial. Then a fixation cross was presented on the left of the first character at the first line, to stabilize the gaze location at the beginning of the text. When the text was displayed, participants read and had to mouse-click as fast as possible to stop reading and decide during another screen if the text was related or not to the topic. The trial was then repeated for the 180 texts with breaks in-between.<br> During trials, the eye tracker gave the position of each fixation on the screen, and the fixation duration. The minimum fixation duration threshold was set to be 80ms whereas the maximum duration was 600ms. All fixations outside these limits were removed for all analyses.<br> A posteriori it was necessary to know which word was being processed by the participant. First, the word identification span was defined as the necessary area from which a word can be identified. This span varies according to the direction of the reading, the alphabet, or the language, but can also be micro-context related. For simplicity, we used a fixed span that is considered for most of Latin languages (Rayner, 1998) : an asymmetrical window of 4 characters left and 8 characters right to the fixation. Moreover, a word may not entirely be located in the word identification span. We considered a word to be processed if at least 1/3 of its beginning or 2/3 of its end was inside the window. This result was obviously language sensitive, only valid in French. Finally, another hypothesis had to be made on the processed word within the window since several words might be captured. For this, we assumed that only one word could be processed during a given fixation and that this word was chosen as the closest to fixation centre, excluding stop words. Consequently, one word per fixation was selected. Thanks to this enhancement, features characterizing the reading strategy were defined.<br> Each fixation was associated to its outgoing saccade. Data associated at each fixation were the fixation duration, the fixed word, the saccade amplitude expressed in visual degree, the number of crossed words between two saccades and the saccade duration. The saccade was characterized by this number of crossed words, which would be negative for a backward progression, null for a refixation or positive for a forward progression. The texts are stored as .png files. The whole set of eye movements is stored in the .csv file. There is one line per fixation and the associated outgoing saccade (except for the last fixation). For each trial, a topic is proposed and then a text. Three possibilities arise: the text is closely related to the topic, from a semantic point of view (â€œfâ€ category), the text is moderately related to the topic (â€œmâ€ category), the text has nothing to do at all with the topic (â€œaâ€ category). The subject had to decide as fast as possible the question â€œIs the text related to the topic?â€ For each topic, six texts were presented to him / her (2 â€œfâ€, 2 â€œmâ€, 2 â€œaâ€). The answer was positive with a very high frequency (&gt; 95%) in the first case, it was negative in the third case, and positive / negative answers were equally likely in the intermediate case. In the .csv file, only the trialsâ€œxxx_f1â€ and â€œxxx-f2â€ with close semantic proximity to the topic are present. Not every fixation on the scanpath was considered: the first fixation is never considered, it has a particular status the last fixation is never considered, since the characteristics of the associated outgoing saccade are not defined, all fixations that are too short are not considered (duration less than 80ms: information is not recorded). The first column is the number of the fixation (starting from 0), the second column is the subject identifier, the third column is the text identifier (alphabetic ordering among the different texts), the fourth column is the text name. The other characteristics associated with each fixation are: â€˜ANSWERâ€™, â€˜FIX_NUMâ€™, number of the fixation within current scanpath, â€˜FIX_LATENCYâ€™, elapsed time since the beginning of recording in current scanpath, 'X', current x-axis coordinate of fixation (gaze) within text image, 'Y', current y-axis coordinate of fixation (gaze) within text image, â€˜FDURâ€™, fixation duration in ms, â€˜OFF_DURâ€™, 'SACAMP', outgoing saccade amplitude in pixels, 'SACOR', outgoing saccade amplitude in pixels, 'INEEG', 1 if some electro-encephalogram was recorded during the fixation, 0 otherwise, 'ISFIRST', indicates whether current fixation is the first within trial (Boolean), 'ISLAST' , indicates whether current fixation is the last within trial (Boolean), 'READMODE', reading mode categorized into 5 classes (see hereunder), 'WINC', increment in number of words required to reach next fixation from current fixation, 'CINC', increment in the number of characters required to reach next fixation from current fixation, 'FIXED_WORD', word in the text currently considered as being fixed, 'FIXED_WINDOW', set of words in the text currently being potentally fixed, 'WORD_FREQUENCY', frequency of current word being fixed with respect to a large corpus of French words, 'COSINST', measure of the LSA semantic similarity between the target topic and word currently being fixed. This is an instantaneous similarity for each fixated word. This comes from the computation of a cosine (between 0 and 1), 'COSCUM', measure of the LSA semantic similarity between the target topic and all the words read up to current fixation. This is a cumulative similarity, 'SACDIR', direction of outgoing saccade (forward, backward, upward, downward or last), 'NEW_READ_WORDS', number of words being read between two successive fixations, excluding words fixed during previous fixations, 'TEXT_TYPE', type of text among 'a', 'f', 'm', 'COS_INST_FASTTEXT_2016', same as COSINST but using FastText representation by Joulin <em>et al.</em> (2016) instead of LSA, 'COS_CUM_FASTTEXT_2016', same as COSCUM but using Fast Text representation by Joulin <em>et al.</em> (2016) instead of LSA, 'WFREQ_RANK_FASTTEXT_2016', rank of current word being fixed ordered by decreasing frequencies within training corpus in Joulin <em>et al.</em> (2016) 'COS_INST_FASTTEXT_2018', same as COSINST but using FastText representation by Mikolov <em>et al.</em> (2016) instead of LSA, 'COS_CUM_FASTTEXT_2018', same as COSCUM but using Fast Text representation by Mikolov <em>et al.</em> (2016) instead of LSA, 'WFREQ_RANK_FASTTEXT_2018', rank of current word being fixed ordered by decreasing frequencies within training corpus in Mikolov <em>et al.</em> (2016) 'WFREQ_RANK_FASTTEXT_1618', mean of 'WFREQ_RANK_FASTTEXT_2016' and 'WFREQ_RANK_FASTTEXT_2018' 'COS_INST_FASTTEXT_1618', mean of 'COS_INST_FASTTEXT_2016' and 'COS_INST_FASTTEXT_2018' 'COS_CUM_FASTTEXT_1618', mean of 'COS_CUM_FASTTEXT_2016' and 'COS_CUM_FASTTEXT_2018' 'TEXT_TYPE_2', refinement of text_type where 'f' texts are distinguished between 'f+' (at least one word of the target topic appears in the text) or 'f' (other 'TEXT_TYPE'-'f' texts) ReadMode is defined as 0 if WINC &gt;=2 1 if WINC = 1 2 if WINC = 0 3 if WINC = -1 4 if WINC &lt;=-2 <strong>References:</strong> Joulin, A., Grave, E., Bojanowski, P., and Mikolov, T. (2016b). Bag of tricks for efficient text classification. <em>arXiv preprint</em> arXiv:1607.01759. Mikolov, T., Grave, E., Bojanowski, P., Puhrsch, C., and Joulin, A. (2018). Advances in pre-training distributed word representations. In <em>Proceedings of the International Conference on Language Resources and Evaluation (LREC 2018)</em>.<br> <br>",mds,True,findable,0,0,0,0,0,2021-04-13T09:58:42.000Z,2021-04-13T09:58:43.000Z,cern.zenodo,cern,"eye movements,eye tracker,reading task","[{'subject': 'eye movements'}, {'subject': 'eye tracker'}, {'subject': 'reading task'}]",,
-10.26302/sshade/experiment_cp_20180418_001,"Co K edge, Fe K edge and Pt L3 edge XAS fluorescence of CoFePt nanocomposite films",SSHADE/FAME (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Varying composition, absorption edge and incidence angle",mds,True,findable,0,0,0,0,0,2021-02-22T07:43:09.000Z,2021-02-22T07:43:11.000Z,inist.sshade,mgeg,"commercial,physically adsorbed phase,Pt,Fe,Co,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'physically adsorbed phase'}, {'subject': 'Pt'}, {'subject': 'Fe'}, {'subject': 'Co'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['17 spectra'],['ASCII']
-10.18709/perscido.2023.02.ds382,Championship Value Prediction 1 Public Traces,PerSCiDO,2023,,Dataset,,"The following traces are 135 ""public"" execution traces that were generated for the Championship Value Prediction 1 (https://www.microarch.org/cvp1/cvp1online/contestants.html) that took place with the IEEE/ACM International Symposium on Computer Architecture (ISCA) 2018. There traces contain instructions executed by ARMv8 workloads of interest to CPU design. The traces only contain partial information and are anonymized, in the sense that the program from which a given trace was generated is not available. All traces used in CVP-1 were released to the public domain after CVP-1.
-
-This release contains :
-- ./public_traces : 135 traces containing 30M instructions, known as the ""public traces"" as this is what was released to CVP-1 contestants to develop their model
-
-Additional information about how to use the traces and the trace format is provided in the README.",api,True,findable,0,0,0,0,0,2023-02-10T14:57:24.000Z,2023-02-10T14:57:24.000Z,inist.persyval,vcob,Computer Science,"[{'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['40000 Mo'],['']
-10.5061/dryad.612jm643q,Photosynthesis from stolen chloroplasts can support sea slug reproductive fitness,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Some sea slugs are able to steal functional chloroplasts (kleptoplasts) from their algal food sources, but the role and relevance of photosynthesis to the animal host remain controversial. While some researchers claim that kleptoplasts are slowly digestible â€˜snacksâ€™, others advocate that they enhance the overall fitness of sea slugs much more profoundly. Our analysis show light-dependent incorporation of 13C and 15N in the albumen gland and gonadal follicles of the sea slug Elysia timida, representing translocation of photosynthates to kleptoplast-free reproductive organs. Long-chain polyunsaturated fatty acids with reported roles in reproduction were produced in the sea slug cells using labelled precursors translocated from the kleptoplasts. Finally, we report reduced fecundity of E. timida by limiting kleptoplast photosynthesis. The present study indicates that photosynthesis enhances the reproductive fitness of kleptoplast-bearing sea slugs, confirming the biological relevance of this remarkable association between a metazoan and an algal-derived organelle.",mds,True,findable,178,19,0,1,0,2021-10-08T00:26:52.000Z,2021-10-08T00:26:54.000Z,dryad.dryad,dryad,"kleptoplast,Fatty acid","[{'subject': 'kleptoplast'}, {'subject': 'Fatty acid'}]",['48249 bytes'],
-10.26302/sshade/experiment_pc_20180420_001,Ce L3 edge XAS HERFD of mouse lung exposed to CeO2 nanoparticles at 10K,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:05:18.000Z,2019-12-05T13:05:23.000Z,inist.sshade,mgeg,"carbonaceous,laboratory,natural terrestrial,other complex mix,Mouse lung,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'carbonaceous'}, {'subject': 'laboratory'}, {'subject': 'natural terrestrial'}, {'subject': 'other complex mix'}, {'subject': 'Mouse lung'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_sb_20200608_001,Absorption coefficients in the VIS and NIR for oriented crystalline titanium oxides,SSHADE/DOCCD (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-07-09T08:22:35.000Z,2020-07-09T08:22:35.000Z,inist.sshade,mgeg,"natural terrestrial,oxide-hydroxide,Rutile,Anatase,laboratory measurement,transmission,macroscopic,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,absorption coefficient","[{'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Rutile'}, {'subject': 'Anatase'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorption coefficient'}]",['3 spectra'],['ASCII']
-10.15778/resif.zr2020,"SEIS-ADELICE temporary experiment measuring the cryo-seismicity of the Astrolabe glacier in Terre Adelie, Antarctica (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2023,,Dataset,,"To analyze the dynamics of Antarctica coastal glaciers and their interaction with the ocean, SEIS-ADELICE aims at measuring the cryo-seismicity of the Astrolabe glacier (Terre AdÃ©lie, Antarctica) from land and ocean bottom seismic observations. The first instrumental deployments occurred in January and February 2022. They consisted in a network of 6 broad-band (BB) stations from the French INSU-SISMOB pool deployed on the grounding line of the Astrolabe glacier, together with 4 OBS deployed at sea few km off the floating tongue of the glacier. These stations were complemented by semi-permanent BB seismological stations deployed on stable ice around the glacier for long term (several years) recording of the ice and of the glacier cryogenic activity.",mds,True,findable,0,0,0,0,0,2023-01-30T18:27:13.000Z,2023-01-30T18:28:20.000Z,inist.resif,vcob,"Cryoseismology,Astrolabe Glacier,East Antarctica,grounding line,Dumont d'Urville base,ice-ocean interaction,icequakes,tremors,glacial earthquakes,icebergs,calving,brittle deformation,basal sliding,anisotropy","[{'subject': 'Cryoseismology'}, {'subject': 'Astrolabe Glacier'}, {'subject': 'East Antarctica'}, {'subject': 'grounding line'}, {'subject': ""Dumont d'Urville base""}, {'subject': 'ice-ocean interaction'}, {'subject': 'icequakes'}, {'subject': 'tremors'}, {'subject': 'glacial earthquakes'}, {'subject': 'icebergs'}, {'subject': 'calving'}, {'subject': 'brittle deformation'}, {'subject': 'basal sliding'}, {'subject': 'anisotropy'}]","['10 stations, 9Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.5061/dryad.zw3r2286h,Do ecological specialization and functional traits explain the abundanceâ€“frequency relationship? Arable weeds as a case study,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Aim: The abundance-frequency relationship (AFR) is among the most-investigated pattern in biogeography, yet the relative contributions of niche-based processes related to ecological strategies, and of neutral processes related to spatial colonization-extinction dynamics, remains uncertain. Here, we tested the influences of ecological specialization and functional traits on local abundance and regional frequency, to determine the contribution of niche-based processes. Location: France and the UK. Taxon: Vascular plants. Methods: We used two arable weed surveys covering 1544 fields in Western Europe (France, UK), along with functional traits related to resource acquisition, flowering phenology and dispersal. We quantified specialization both to arable habitat and to individual crop types, and performed phylogenetic path analyses to test competing models accounting for direct and indirect relationships between traits, specialization, abundance and frequency. We performed the analyses for all species in each country, as well as for a subset of the most abundant species. Results: Local abundance of weeds increased with their regional frequency, but the relationship became negative or null when considering only the most abundant weeds. Specialization to arable habitat and to individual crop type either had a similar or opposite effect on regional frequency and local abundance explaining these positive and negative relationships, respectively. Regional frequency was not directly explained by any trait but indirectly by resource requirement traits conferring specialization to the arable habitat. Conversely, high local abundance was directly related to low seed mass, high SLA, early and short flowering. Main Conclusions: Direct/indirect effects of functional traits on local abundance/regional frequency, respectively, supports a significant role of niche-based processes in AFR. Neutral spillover dynamics could further explain a direct linkage of abundance and frequency. Similar causal paths and consistent influences of traits on specialization and abundance in the two studied regions suggest genericity of these findings.",mds,True,findable,125,4,0,1,0,2021-03-12T00:57:40.000Z,2021-03-12T00:57:42.000Z,dryad.dryad,dryad,"weed biogeography,Niche-breadth,path analysis,generalist-specialist,Neutral Processes","[{'subject': 'weed biogeography'}, {'subject': 'Niche-breadth'}, {'subject': 'path analysis'}, {'subject': 'generalist-specialist'}, {'subject': 'Neutral Processes'}]",['43356 bytes'],
-10.18709/perscido.2020.03.ds294,"F-TRACT, ATLAS October 2019",PerSciDo,2020,en,Dataset,,"Connectivity probability as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 321 patients, in the AAL, AICHA, Brodmann, Freesurfer, Hammers, HCP-MMP1, Lausanne2008 (resolutions 33, 60, 125, 250, 500) and MarsAtlas parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, duration, integral, velocity estimated from the onset latency and the fibers distance between the parcels and axonal conduction delays. Synaptic excitatory and inhibitory delays are also provided for each parcel. All features have been estimated separately for patients younger than 15 y.o. (group ""0-15"") and patients older than 15 y.o. (group ""15-100"").",fabrica,True,findable,0,0,0,5,0,2020-03-12T12:02:33.000Z,2020-03-12T12:02:33.000Z,inist.persyval,vcob,"Biology, Medicine","[{'lang': 'en', 'subject': 'Biology, Medicine'}]",['500 MB'],['tsv- mat']
-10.5061/dryad.03mn0,Data from: Conserved G-matrices of morphological and life-history traits among continental and island blue tit populations,Dryad,2017,en,Dataset,Creative Commons Zero v1.0 Universal,"The genetic varianceâ€“covariance matrix (G-matrix) summarizes the genetic architecture of multiple traits. It has a central role in the understanding of phenotypic divergence and the quantification of the evolutionary potential of populations. Laboratory experiments have shown that G-matrices can vary rapidly under divergent selective pressures. However, because of the demanding nature of G-matrix estimation and comparison in wild populations, the extent of its spatial variability remains largely unknown. In this study, we investigate spatial variation in G-matrices for morphological and life-history traits using long-term data sets from one continental and three island populations of blue tit (Cyanistes caeruleus) that have experienced contrasting population history and selective environment. We found no evidence for differences in G-matrices among populations. Interestingly, the phenotypic varianceâ€“covariance matrices (P) were divergent across populations, suggesting that using P as a substitute for G may be inadequate. These analyses also provide the first evidence in wild populations for additive genetic variation in the incubation period (that is, the period between last egg laid and hatching) in all four populations. Altogether, our results suggest that G-matrices may be stable across populations inhabiting contrasted environments, therefore challenging the results of previous simulation studies and laboratory experiments.",mds,True,findable,266,19,1,2,0,2017-02-20T14:31:25.000Z,2017-02-20T14:31:26.000Z,dryad.dryad,dryad,,,['605722 bytes'],
-10.5061/dryad.qrfj6q5h6,Designing industry 4.0 implementation from the initial background and context of companies,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Industry 4.0 is a promising concept that allows industries to meet customersâ€™ demands with flexible and resilient processes, and highly personalised products. This concept is made up of different dimensions. For a long time, innovative digital technology has been thought of as the only dimension to succeed in digital transformation projects. Next, other dimensions have been identified such as organisation, strategy, and human resources as being key while rolling out digital technology in factories. From these findings, researchers have designed industry 4.0 theoretical models and then, built readiness models that allow for analysing the gap between the company initial situation and the theoretical model. Nevertheless, this purely deductive approach does not take into consideration a companyâ€™s background and context, and eventually favours one single digital transformation model. This article aims at analysing four actual digital transformation projects and demonstrating that the digital transformationâ€™s success or failure depends on the combination of two variables related to a companyâ€™s background and context. This research is based on a double approach: deductive and inductive. First, a literature review has been carried out to define industry 4.0 concept and its main dimensions and digital transformation success factors, as well as barriers, have been investigated. Second, a qualitative survey has been designed to study in-depth four actual industry digital transformation projects, their genesis as well as their execution, to analyse the key variables in succeeding or failing. 46 semi-structured interviews were carried out with projectsâ€™ members. The interviews have been analysed with thematic content analysis. Then, each digital transformation project has been modelled regarding the key variables and analysed with regards to succeeding or failing. Investigated projects have consolidated the models of digital transformation. Finally, nine digital transformation models have been identified. Industry practitioners could design their digital transformation project organisation and strategy according to the right model.",mds,True,findable,142,17,0,0,0,2021-11-03T18:22:27.000Z,2021-11-03T18:22:28.000Z,dryad.dryad,dryad,Industrial engineering,"[{'subject': 'Industrial engineering', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['985101 bytes'],
-10.5281/zenodo.10592270,silx-kit/silx: 2.0.0: 2024/01/30,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"This version of silx supports Python 3.7 to 3.12.
-This is the last version of silx supporting Python 3.7.
-The silx.gui package supports PySide6, PyQt6 and PyQt5 (PySide2 is no longer supported).
-
-Breaking API change: silx.gui.plot.PlotWidget's add methods (i.e., addCurve, addImage, ...) returns the plot item object instance instead of its legend (https://github.com/silx-kit/silx/pull/3996).
-
-<details><summary>
-
-What's Changed...
-
-</summary>
-
-silx applications
-
-
-
-
-Added silx compare, a dedicated application to compare images (PR #3788, #3827, #3884, #3943, #3944)
-
-
-
-silx view:
-
-
-
-Added --slices option (PR #3860)
-
-Added supports for data URL containing ""**"" to match multiple sub groups (PR #3795)
-
-Added keyboard shortcuts for open/close all (PR #3863)
-
-Improved: Stopped displaying a message box for each error (PR #3955)
-
-Improved: Use matplotlib if OpenGL is not available (PR #3905)
-
-Fixed support of NXData image with 0-length axis (PR #3768)
-
-Fixed setting focus at startup when opening a dataset (PR #3953)
-
-
-
-
-silx.app.utils: Refactored (PR #3811)
-
-
-
-silx.io
-
-
-
-
-silx.io.dictdump:
-
-
-
-Removed dicttoh5's overwrite_data argument (PR #3806)
-
-Improved error message for dicttoh5 with non-serializable data (PR #3937)
-
-Fixed h5todict errors argument issue (PR #3749) and fixed-length string issue (PR #3748)
-
-
-
-
-silx.io.h5py_utils:
-
-
-
-Fixed retry (PR #3775)
-
-Fixed: Do not call multiprocessing module in frozen binaries (PR #3984)
-
-
-
-
-silx.io.nxdata.parser: Fixed NXdata validation (PR #3782)
-
-
-
-silx.io.url:
-
-
-
-Added support of URLs with slices to DataUrl (PR #3821)
-
-Added typings for DataUrl (PR #3968)
-
-Fixed DataUrl: Allow file_path to be None (PR #4051)
-
-
-
-
-silx.io.utils:
-
-
-
-Added support of bare file to get_data with check_schemas=True argument (PR #3859)
-
-Improved: open do not lock the file (PR #3939)
-
-Fixed small/big endian support in test (PR #3873)
-
-Fixed h5py_read_dataset support of empty arrays (PR #4052)
-
-
-
-
-silx.math
-
-
-
-Fixed several function docstrings (PR #3774)
-
-silx.math.colormap: Added normalize function to normalize to uint8 (PR #3785)
-
-silx.math.fit: Added split pseudo-voigt with split lorentzian fraction (PR #3902)
-
-
-silx.opencl
-
-
-
-
-Fixed regression with PoCL and order of floating point operations (PR #3935)
-
-
-
-Fixed: skip test on broken platform (PR #3809)
-
-
-
-Fixed: prevent crash at init when loading silx with PortableCL + Cuda devices (PR #3924)
-
-
-
-silx.opencl.atomic: Added new checking for atomic32 and atomic64 operation (PR #3855)
-
-
-
-silx.opencl.backprojection: Removed deprecated fourier_filter function (PR #3816)
-
-
-
-silx.opencl.codec:
-
-
-
-Added `bitshuffle_lz4`` decompression (PR #3714)
-
-Added support of pyopencl's Buffer and Array to BitshuffleLz4.decompress (PR #3787)
-
-
-
-
-`silx.opencl.common``:
-
-
-
-Removed OpenCL.create_context useFp64 argument (PR #3801)
-
-Reworked initialisation of the module (PR #3903)
-
-Updated: Defer to pyopencl the interpretation of PYOPENCL_CTX (PR #3933)
-
-
-
-
-silx.opencl.convolution: Removed Python 2 compatible code (PR #3818)
-
-
-
-silx.third_party
-
-
-
-Removed copy of scipy's Delaunay from third_party (PR #3808)
-
-Deprecated EdfFile and TiffIO (PR #3841)
-
-
-silx.gui
-
-
-
-
-silx.gui:
-
-
-
-Added support for QT_API environment variable (PR #3981)
-
-Added a warning about pyOpenGL and Qt compatibility (PR #3738)
-
-Added some Python typing (PR #3957)
-
-Removed support of  PySide6<6.4 (PR #3872)
-
-Improved qWidgetFactory test fixture (PR #4009)
-
-Fixed support of PySide 6.4 enums (PR #3737)
-
-Fixed support of PyQt6 (PR #3960, #3966, #3989, #3999, #4003)
-
-Fixed support of OpenGL with python3.12 and pyopengl <=3.1.7 (PR #3982)
-
-Fixed OpenGL version parsing (PR #3733)
-
-
-
-
-silx.gui.colors:
-
-
-
-Added indexed color names support to rgba (PR #3836, #3861)
-
-Added typing (PR #3974)
-
-silx.gui.colors.rgba: Changed from AssertionError to ValueError (PR #3864)
-
-Improved: Colormap.setVRange raises an exception if the range is not finite (PR #3794)
-
-
-
-
-silx.gui.constants: Added: expose URI used to drag and drop DataUrl (PR #3796)
-
-
-
-silx.gui.data:
-
-
-
-Fixed issue with hdf5 attributes string formatting (PR #3790)
-
-silx.gui.data.DataView: Removed patch for pymca <v5.3.0 support (PR #3800)
-
-silx.gui.data.HDF5TableView: Fixed virtual and external dataset information (PR #3717)
-
-silx.gui.data.RecordTableView: Fixed issue with datasets with many rows failing to load due to incorrect variable type (PR #3926)
-
-
-
-
-silx.gui.dialog:
-
-
-
-
-silx.gui.dialog.ColormapDialog:
-
-
-
-Added DisplayMode to API by renaming _DataInPlotMode (PR #3964)
-
-Fixed layout (PR #3792)
-
-Fixed state when updating Item (PR #3833)
-
-Fixed robustness of tools with item inheriting from ImageBase (PR #3858)
-
-
-
-
-
-
-silx.gui.hdf5:
-
-
-
-Added NXnote to the list of describable classes (PR #3832)
-
-Added tests for H5Node soft link to an external link issue (PR #3220)
-
-
-
-
-silx.gui.qt:
-
-
-
-Updated PySide6 loadUi function (PR #3783)
-
-Fixed Python>3.9 support (PR #3779)
-
-
-
-
-silx.gui.plot:
-
-
-
-
-silx.gui.plot.actions: Added typings for PlotAction (PR #3941)
-
-
-
-silx.gui.plot.items:
-
-
-
-
-Added Marker item font configuration (PR #3956)
-
-
-
-Added background color for markers and removed automatic background color (PR #4012)
-
-
-
-Added get|setLineGapColor methods to Curve and Histogram (PR #3973)
-
-
-
-Renamed Shape.get|setLineBgColor to get|setLineGapColor (PR #4001)
-
-
-
-Deprecated Curve and Image sequence-like access (PR #3803)
-
-
-
-Improved handling of data ndim and shape for image items (PR #3976)
-
-
-
-Fixed: Removed ImageDataAggregated all-NaN warning (PR #3786)
-
-
-
-Fixed Shape display with dashes and a background color (PR #3906)
-
-
-
-silx.gui.plot.items.roi:
-
-
-
-Added RegionOfInterest's getText and setText methods (PR #3847)
-
-Added populateContextMenu method to ROIs (PR #3891)
-
-Added ArcROI.getPositionRole method (PR #3894)
-
-Added ROIs base classes to documentation (PR #3839)
-
-Removed deprecated methods RegionOfInterest.get|setLabel (PR #3810)
-
-Improved `ArcROI``: Hide the handler instead of hidding the symbol (PR #3887)
-
-Improved: highlighted RegionOfInterest takes priority for interactions (PR #3975)
-
-Fixed ROI initialisation with parent (PR #4053)
-
-
-
-
-
-
-silx.gui.plot.ColorBar: Fixed division by zero issue (PR #4013)
-
-
-
-silx.gui.plot.CompareImages:
-
-
-
-Added profile to compare image (PR #3845)
-
-Improved consistency of autoscale (PR #3823)
-
-Fixed the A-B visualization mode (PR #3856)
-
-
-
-
-silx.gui.plot.ImageStack:
-
-
-
-Added URL removal feature if the list is editable (PR #3913)
-
-Fixed ImageStack handling of visible state (PR #3834)
-
-Fixed issue (PR #4050)
-
-
-
-
-silx.gui.plot.ImageView: Fixed histogram visibility (PR #3742)
-
-
-
-silx.gui.plot.PlotWidget:
-
-
-
-
-Breaking changes:
-
-
-
-Changed add* methods return value to return the item instead of its legend (PR #3996)
-
-Refactored management of items (PR #3986, #3988)
-
-
-
-
-Added margins argument to PlotWidget.setLimits (PR #3828)
-
-
-
-Added Plotwidget.get|setDefaultColors and updated default colors behavior (PR #3835)
-
-
-
-Added PlotWidget.sigBackendChanged (PR #3890)
-
-
-
-Added per-axis zoom (PR #3842, #3843)
-
-
-
-Added support for 'other' kind of plot items (PR #3908)
-
-
-
-Added support of matplotlib tight layout as an experimental feature (PR #3865)
-
-
-
-Added support of line style defined as (offset, (dash pattern)) (PR #4020)
-
-
-
-Added support for indexed color names support (PR #3836)
-
-
-
-Added sample script to check and compare backend features (PR #4031)
-
-
-
-Changed curve default colors to matchthe one from matplotlib >=2.0 (PR #3853)
-
-
-
-Changed curve highlighting to use by default a linewidth of 2 (PR #3854)
-
-
-
-Changed plot axes tick labels behavior to use offsets (PR #4007)
-
-
-
-Changed: use the default font from mpl (PR #4025)
-
-
-
-Changed font management (PR #4047)
-
-
-
-Improved rendering for OpenGL backend (PR #4002, #4015, #4023, #4034, #4038)
-
-
-
-Fixed documentation (PR #3773)
-
-
-
-Fixed mouse cursor update (PR #3904)
-
-
-
-Fixed: do not reset zoom when changing axes scales (PR #3862, #3869)
-
-
-
-Fixed: use PlotWidget.get|setActiveScatter instead of private method (PR #3987)
-
-
-
-Fixed tick display of time series (PR #4000)
-
-
-
-Fixed matplotlib marker without background (PR #4028)
-
-
-
-
-
-silx.gui.plot.PlotWindow: Fixed display of zoom in/out actions (PR #3837)
-
-
-
-silx.gui.plot.RulerToolButton: Added interactive plot measurement tool (PR #3959, #4005)
-
-
-
-silx.gui.plot.StackView: Removed setColormap autoscale argument (PR #3805)
-
-
-
-silx.gui.plot.tools:
-
-
-
-
-silx.gui.plot.tools.PositionInfo: Fixed support of dark theme (PR #3965)
-
-
-
-silx.gui.plot.tools.profile: Fixed concurrency issue with RGB profiles (PR #3846)
-
-
-
-silx.gui.plot.tools.roi.RegionOfInterestManager:
-
-
-
-Changed interaction mode for ROI creation (PR #3978)
-
-Fixed display glitch (PR #3954)
-
-
-
-
-
-
-
-
-silx.gui.plot3d:
-
-
-
-
-Updated font management (PR #4047)
-
-
-
-Fixed deprecation warning (PR #4046)
-
-
-
-silx.gui.plot3d.ParamTreeView:
-
-
-
-Added typing and code cleanup (PR #3972)
-
-Fixed Qt6 support (PR #3971)
-
-
-
-
-
-
-silx.gui.utils.image: Added support of QImage.Format_Grayscale8 to convertQImageToArray (PR #3958)
-
-
-
-silx.gui.widgets:
-
-
-
-
-silx.gui.widgets.FloatEdit:
-
-
-
-Added widgetResizable feature (PR #4006)
-
-Added typing and code cleanup (PR #3972)
-
-
-
-
-silx.gui.widgets.StackedProgressBar: Added widget displaying more complex information progress information (PR #4008)
-
-
-
-silx.gui.plot.widgets.UrlList: Added UrlList widget (PR #3913)
-
-
-
-silx.gui.widget.UrlSelectionTable:
-
-
-
-Improved look&feel and enabled drag&drop from silx view (PR #3797)
-
-Updated: Split the URL column in 3 columns (PR #3822)
-
-Fixed exception with interaction, renamed get|setSelection to get|setUrlSelection (PR #3791)
-
-
-
-
-silx.gui.widgets.WaiterOverlay: Added a widget to display processing wheel on top of another widget (PR #3876)
-
-
-
-
-
-silx.utils:
-
-
-
-silx.utils.launcher: Improved error message (PR #3793)
-
-silx.utils.retry: Fixed: Lazy-loading of multiprocessing module (PR #3979)
-
-
-
-
-Miscellaneous
-
-
-
-
-Dependencies:
-
-
-
-Removed support of Python 3.6 (PR #3712), PySide2 (PR #3784) and fabio<0.9 (PR #3829)
-
-Replaced setuptools's pkg_resources with packaging as runtime dependency (PR #3910)
-
-Fixed support of pint >= 0.20 (PR #3725), cython (PR #3770, #4033) and PyInstaller v6 (PR #4041)
-
-Fixed deprecation warnings from numpy, scipy, matplotlib and h5py (PR #3741, #3777, #4045, #3980)
-
-
-
-
-Clean-up:
-
-
-
-Removed features deprecated since <1.0.0 (PR #3798, #3799, #3802, #3804)
-
-Removed remaining Python2 support (PR #3815, #3840, #3952)
-
-Removed unused imports (PR #3814)
-
-Replaced OrderedDict by dict (PR #3830)
-
-Updated: Using black to format the code (PR #3991)
-
-Fixed typo: 4 "" quotes instead of 3. (PR #3838)
-
-
-
-
-Build:
-
-
-
-Removed setup.py commands and options (PR #3831)
-
-Removed constraint on setuptools version (PR #3909)
-
-Updated build dependencies (PR #4035)
-
-Fixed Windows fat binary filename and links (PR #4048)
-
-Bump to 2.0.dev (PR #4014)
-
-
-
-
-Debian packaging:
-
-
-
-Removed Debian 10 and 11 packaging (PR #4017)
-
-Added Debian 12 packaging (PR #3812)
-
-Added pytest-mock to Debian build dependencies (PR #3740)
-
-Updated build-deb.sh (PR #4022, #3772) and rules (PR #3732)
-
-
-
-
-Updated documentation (PR #3765, #3899, #3970, #3994, #4037, #4036, #4039, #4042, #4055)
-
-
-
-Updated continuous integration (PR #3727, #3967, #3983)
-
-
-
-Fixed tests (PR #3722, #3723, #4043, #4044)
-
-
-
-</details>
-
-New Contributors
-
-
-
-@loichuder made their first contribution in https://github.com/silx-kit/silx/pull/3774
-
-@alejandrohomsp made their first contribution in https://github.com/silx-kit/silx/pull/3832
-
-@carez made their first contribution in https://github.com/silx-kit/silx/pull/3926
-
-@lesaintjerome made their first contribution in https://github.com/silx-kit/silx/pull/3943
-
-
-Full Changelog: https://github.com/silx-kit/silx/compare/v1.1.2...v2.0.0",api,True,findable,0,0,0,1,0,2024-01-30T13:54:09.000Z,2024-01-30T13:54:09.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_op_20181105_001,Zn K edge XAS transmission of Zn metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T09:03:56.000Z,2019-12-05T09:03:56.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Zn,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Zn'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_bs_20130124_002,NIR Optical constants spectrum of SO2 crystal at 125 K,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",NIR Optical constants spectrum of SO2 crystal at 125 K,mds,True,findable,0,0,0,0,0,2020-02-01T13:37:56.000Z,2020-02-01T13:37:56.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,SO2 crystalline I,laboratory measurement,transmission,macroscopic,NIR,Near-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'SO2 crystalline I'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'optical constants'}]",['1 spectrum'],['ASCII']
-10.15778/resif.xj2009,Seismic network XJ: French part of L AQUILA (Italy) aftershock experiment (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2009,en,Other,"Open Access,Creative Commons Attribution 4.0 International","Set of continuous seismic records covering the early post-seismic phase of the 2009 L'Aquila (Italy) earthquake. The network is composed of Taurus (Nanometrics) seismic stations associated to CMG40 (Guralp) velocimeters. The network was deployed from April 8 to June 30, 2009 approximately.",mds,True,findable,0,0,0,1,0,2018-03-22T13:53:24.000Z,2018-03-22T13:53:24.000Z,inist.resif,vcob,"Seismology,Earthquake,Aftershock,L'Aquila 2009","[{'subject': 'Seismology'}, {'subject': 'Earthquake'}, {'subject': 'Aftershock'}, {'subject': ""L'Aquila 2009""}]",,
-10.5281/zenodo.3549806,French Word Sense Disambiguation with Princeton WordNet Identifiers,Zenodo,2019,fr,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is a dataset for the Word Sense Disambiguation of French using Princeton WordNet identifiers. It contains two training corpora : the SemCor and the WordNet Gloss Corpus, both automatically translated from their original English version, and with sense tags automatically aligned. It contains also a test corpus : the task 12 of SemEval 2013, originally sense annotated with BabelNet identifiers, converted into Princeton WordNet 3.0.",mds,True,findable,19,0,0,0,0,2019-11-21T15:12:53.000Z,2019-11-21T15:12:54.000Z,cern.zenodo,cern,"French,Word Sense Disambiguation,WordNet","[{'subject': 'French'}, {'subject': 'Word Sense Disambiguation'}, {'subject': 'WordNet'}]",,
-10.6084/m9.figshare.22625626,"Additional file 7 of A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 7.,mds,True,findable,0,0,0,0,0,2023-04-13T18:56:18.000Z,2023-04-13T18:56:18.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['122896 Bytes'],
-10.5281/zenodo.3613951,Winter snow depths for initializing a glacio-hydrological model in high mountain Chile,Zenodo,2020,,Dataset,Creative Commons Attribution 4.0 International,"The following dataset consists of the forcings, initial conditions, model grids and parameters used to run the TOPKAPI-ETH model (Finger et al., 2011; Ragettli and Pellicciotti, 2012) for the Rio Yeso catchment of central Chile (33.44Â°S, 69.93Â°W - Burger et al., 2018). The data and model grids were used to investigate the importance of accurate snowÂ depth maps for initialising the physically-oriented model in a high elevation catchment - For a manuscript submitted to Water Resources Research (WRR) - January 2020.Â 
-
-
-Â 
-
-
-Data and file repository for the submitted article:
-%-------------------------------------------------------------
-%-------------------------------------------------------------
-
-
-Â On the utility of optical satellite winter snow depths for modelling the
-Â glacio-hydrological behaviour of a high elevation, Andean catchment.
-
-
-Thomas E. Shaw1, Alexis Caro1,2, Pablo Mendoza3, Ãlvaro Ayala4, Francesca Pellicciotti5,6, Simon Gascoin7, Â James McPhee1,3
-
-
-1 Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile
-2 Univ. Grenoble Alpes, CNRS, IRD, Grenoble-INP, Institut des GÃ©osciences de lâ€™Environnement (IGE, UMR 5001), Grenoble, France
-3 Department of Civil Engineering, Universidad de Chile, Santiago, Chile
-4 Centro de Estudios Avanzados en Zonas Ãridas (CEAZA), La Serena, Chile
-5 Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland
-6 Department of Geography, Northumbria University, Newcastle, UK
-7 CESBIO, UniversitÃ© de Toulouse, CNES/CNRS/INRA/IRD/UPS, Toulouse, France
-
-
-%-------------------------------------------------------------
-%-------------------------------------------------------------
-The following sub-folders are separated into forcings, grids, initial model conditions, model files and parameters.
-
-
-This file describes briefly the contents of each sub-folder.
-
-
-%-------------------------------------------------------------
-FORCINGS:
-
-
-CloudCover_TPK.csv - A timeseries of hourly cloud cover fraction (-) derived NASA POWER archives.
-Discharge_TPK.csv - A timeseries of hourly discharge (m3 s-1) from the outlet station F_TdP.
-Master_Data_TPK.mat - a Matlab structure (written in version 2017a) for all data availble to the catchment for the considered model period.
-Precipitation_TPK.csv - A timeseries of hourly precipitation (mm/hr) from AWS TdP.
-Temperature_TPK.csv - A timeseries of hourly temperature (degC) from AWS TdP.Â 
-TemperatureGradient_TPK.csv - A timeseries of calibrated temperature gradients based upon forcing from AWS TdP.
-
-
-%-------------------------------------------------------------
-GRIDS:
-
-
-42 ascii files for various grids (primary or secondary) use to derive the .TES file (see TOPKAPI-ETH sub-folder) for running the model.
-Associated projection (.prj) files are given.
-Naming convention is provided in the manual (see TOPKAPI-ETH sub-folder) except:
-Â Â  Â rdy_SoilDepth.asc - An adjusted top layer soil depth map based upon Ragettli et al. (2012).
-Â Â  Â rdy_debris_v.asc - A debris thickness map for Piramde Glacier and the tongue of Bello Glacier. Values adjusted slightly from Ayala et al. (2016) to account for areas that are not debris, but bedrock (Bello Glacier).
-
-
-%-------------------------------------------------------------
-INITIAL_CONDITIONS:
-
-
-Sub-folder 'Albedo':Â 
-Â Â  Â Albedo_Pleiades.asc - An albedo map derived from the model spin up and limited to the snow-covered pixels of the PlÃ©iades snow depth map.
-Sub-folder 'Snow':
-Â Â  Â XXX_snow_mmwe.asc - A snow water equivalent map (mm w.e.) given by the initialisation method 'XXX' (PlÃ©iades, TOPO or DBSM). TPK is derived solely from the model spin up (an input grid not required).Â 
-Â Â  Â XXXeq_snow_mmew.asc - As above, though considering the equal means approach described in the manuscript. TPK included here.
-Sub-Folder 'SpinUp_State':
-Â Â  Â 201709040000.stt - The system state file that contains information on the equiblibrium state of catchment (as read by the model upon initialisation). Running the model with a spinup shuld call upon this file within the command prompt.
-
-
-
-%-------------------------------------------------------------
-PARAMETERS:
-
-
-Sub-folder 'Calibration'
-Â Â  Â TPK_ParameterAllocation - A Matlab script for the establishing the Monte Carlo parameter simulation and running the model n times. The current script is considered for soil parameters.
-Sub-folder 'Sensitivity'
-Â Â  Â TPK_Sensivity_Analysis - A Matlab script for establishing the upper and lower boundaries of parameter/forcing sensitivities for a one-at-a-time analysis.
-
-
-Â 
-
-
-%-------------------------------------------------------------
-RESULTS:
-
-
-Model_Output_Comparison.mat - A matlab file with output grids and vectors for model intercomparisons (i.e. PlÃ©iades (PlÃ©iades-Uncertainty and PlÃ©iades+Uncertainty), TOPO, TPK, DBSM + equal means equivalents). Files are:
-Â Â  Â All_S - Daily snow mass balance grids (mm w.e.)
-Â Â  Â Bias_Month - Monthly bias (row) of modelled vs measured streamflow at F_aP site for each model run (column).
-Â Â  Â Date_Daily - Numeric date of daily grids
-Â Â  Â DateTPK - Numeric date of hourly model simulations
-Â Â  Â Gla_Map - Daily cumulative glacier modelled mass balance grids (mm w.e.) for x,y,t,MOD - such that the 4th dimension is the model simulation
-Â Â  Â GMB_Bello - Cumulative modelled mass balance (mm w.e.) of Bello Glacier AWS grid cell
-Â Â  Â GMB_Piramide - Cumulative modelled mass balance (mm w.e.) of Piramide Glacier AWS grid cell
-Â Â  Â GMB_Yeso - Cumulative mass modelled balance (mm w.e.) of Yeso Glacier AWS grid cell
-Â Â  Â KGE_Month - KGE values per month (row) and for each model run (column)
-Â Â  Â M3AP - Measured streamflow at F_aP
-Â Â  Â M3TP - Measured streamflow at F_TdP
-Â Â  Â MeltG_Avg_all - Mean hourly ALL-glacier melt rate (mm w.e./hr) for each model run (column)
-Â Â  Â MeltS_Avg_all - Mean hourly catchment-wide melt rate (mm w.e./hr) for each model run (column)
-Â Â  Â MOD_SnowCC - Daily MODIS snow cover fraction
-Â Â  Â Model_Name - .... well, its the name of the model run :=)
-Â Â  Â MODIS_SLE - The calculated Snow Line Elevation (m a.s.l.) for each daily MODIS scene
-Â Â  Â PlanetSLE - As above, but for PlanetScope images (17 days total)
-Â Â  Â Planet_SnowObs - The numeric dates of the equivalent PlanetSLE data
-Â Â  Â Q_Mod_aP - The modelled hourly streamflow at F_aP
-Â Â  Â Q_Mod_TdP - The modelled hourly streamflow at F_TdP
-Â Â  Â Q_Prc_Month - The percentage difference in monthly (row) modelled-measured streamflow by model run (column)
-Â Â  Â R_Month - Correlation values per month (row) and for each model run (column)
-Â Â  Â RelVar_Month - Relative variance per month (row) and for each model run (column)
-Â Â  Â Snow_Map - Daily snow water equivalent grids (mm w.e.) for x,y,t,MOD - such that the 4th dimension is the model simulation
-Â Â  Â SnowCC - The hourly modelled snow cover fraction for the catchment for each model run (column)
-Â Â  Â TPKSLE - The daily modelled TOPKAPI-ETH model SLE from each model run (column)
-
-
-Â 
-
-
-%-------------------------------------------------------------
-TOPKAPI-ETH:
-
-
-FIUME - A generic file type that is called by the model to ID the name of the study site. I this case 'rdy'.
-rdy.TES - A vectorised file of all grids required by the model to run.
-rdy.TPK - The TPK parameter and command file. This is adjusted to change input parameters and forcing files etc. The current file is the optimised version for this catchment.
-TManual_Aug2013.pdf - A PDF instruction file (semi-complete) for the model written by Stefan Rimkus (2013). The naming conventions and grid names are given here.
-
-
-Â 
-
-
-Â 
-
-
-CITED MATERIAL REGARDING THE MODEL
-
-
-Burger, F., Ayala, A., Farias, D., Shaw, T. E., Macdonell, S., Brock, B., McPhee, J., Pellicciotti, F. (2018a). Interannual variability in glacier contribution to runoff from a high â€ elevation Andean catchment: understanding the role of debris cover in glacier hydrology. Hydrological Processes, SI-Latin(January), 1â€“16. https://doi.org/10.1002/hyp.13354
-
-
-Finger, D., Pellicciotti, F., Konz, M., Rimkus, S., & Burlando, P. (2011). The value of glacier mass balance, satellite snow cover images, and hourly discharge for improving the performance of a physically based distributed hydrological model. Water Resources Research, 47(7), 1â€“14. https://doi.org/10.1029/2010WR009824
-
-
-Ragettli, S., & Pellicciotti, F. (2012). Calibration of a physically based, spatially distributed hydrological model in a glacierized basin: On the use of knowledge from glaciometeorological processes to constrain model parameters. Water Resources Research, 48(3), n/a-n/a. https://doi.org/10.1029/2011WR010559
-
-
-Â ",mds,True,findable,0,0,0,0,0,2020-01-20T20:55:53.000Z,2020-01-20T20:55:54.000Z,cern.zenodo,cern,,,,
-10.34847/nkl.ae94a74k,"Taciti et C. Velleii Paterculi scripta quae exstant; recognita, emaculata. Additique commentarii copiosissimi et notae non antea editae Paris e typographia Petri Chevalier, in monte diui Hilarii - II-0484",NAKALA - https://nakala.fr (Huma-Num - CNRS),2020,,Image,,,api,True,findable,0,0,0,0,0,2023-01-16T15:46:03.000Z,2023-01-16T15:46:03.000Z,inist.humanum,jbru,,,['52170234 Bytes'],['image/tiff']
-10.5281/zenodo.5835977,FIGURE 2. Bulbophyllum strigosum Garay. A. Flowering plant. B. Inflorescences. C. Floral bract. D in Bulbophyllum section Rhytionanthos (Orchidaceae) in Vietnam with description of new taxa and new national record,Zenodo,2022,,Image,Open Access,"FIGURE 2. Bulbophyllum strigosum Garay. A. Flowering plant. B. Inflorescences. C. Floral bract. D. Flowers, half side, side, and back views. E. Median sepal, adaxial and abaxial side. F. Median sepal margin. G. Lateral sepals, adaxial and abaxial sides. H. Lateral sepal margin. I. Petals, adaxial and abaxial side. J. Lip, views from different sides. K. Pedicel, ovary and column, side view. L. Column, frontal and side views. M. Anther cap, views from different sides. N. Pollinia. Photos by Truong Ba Vuong, correction and design by L. Averyanov and T. Maisak.",mds,True,findable,0,0,2,2,0,2022-01-11T09:00:34.000Z,2022-01-11T09:00:35.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Plantae,Tracheophyta,Liliopsida,Asparagales,Orchidaceae,Bulbophyllum","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Plantae'}, {'subject': 'Tracheophyta'}, {'subject': 'Liliopsida'}, {'subject': 'Asparagales'}, {'subject': 'Orchidaceae'}, {'subject': 'Bulbophyllum'}]",,
-10.34847/nkl.ca8dmbdh,Fragment de l'Ã©paisseur sensible - dÃ©tail de la carte des mÃ©moires sensibles de la Romanche,NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,PhysicalObject,,"ReprÃ©sentation cartographique de la Romanche par AAU-CRESSON (Laure Brayer, Ryma Hadbi, Emmanuelle Pilon) dans le cadre du projet Les Ondes de l'Eau : MÃ©moires des lieux et du travail dans la vallÃ©e de la Romanche. AAU-CRESSON (Laure Brayer, direction scientifique) - Regards des Lieux (Laure NicoladzÃ©, direction culturelle).
-
-On peut faire lâ€™expÃ©rience de la Romanche bien au-delÃ  de son lit. Câ€™est dâ€™abord une rencontre sonore, thermique, aÃ©raulique. Comment traduire sur la carte cette Ã©paisseur sensible ? Cette tentative de reprÃ©sentation sâ€™appuie sur lâ€™itinÃ©raire des jeunes filles (Ã©galement sur Nakala : https://doi.org/10.34847/nkl.231c4067) et la recherche graphique menÃ©e par Emmanuelle Pilon lors de la production de sa version dessinÃ©e.
-
-Codification de la prÃ©sence de la route nationale (son et mouvement en rouge) et de l'Ã©paisseur sensible de la riviÃ¨re (fraicheur et humiditÃ© en bleu, ambiance sonore en beige, et vent en rouge).",api,True,findable,0,0,1,0,0,2022-06-27T12:37:22.000Z,2022-06-27T12:37:22.000Z,inist.humanum,jbru,"Cartographie sensible,Ã©paisseur sensible,ambiance,perception de l'espace,sens et sensations,Romanche, VallÃ©e de la (France),fraicheur,humiditÃ©,ambiance sonore,Ã©mergence sonore,vent,air,carte sensible","[{'lang': 'fr', 'subject': 'Cartographie sensible'}, {'lang': 'fr', 'subject': 'Ã©paisseur sensible'}, {'lang': 'fr', 'subject': 'ambiance'}, {'lang': 'fr', 'subject': ""perception de l'espace""}, {'lang': 'fr', 'subject': 'sens et sensations'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e de la (France)'}, {'lang': 'fr', 'subject': 'fraicheur'}, {'lang': 'fr', 'subject': 'humiditÃ©'}, {'lang': 'fr', 'subject': 'ambiance sonore'}, {'lang': 'fr', 'subject': 'Ã©mergence sonore'}, {'lang': 'fr', 'subject': 'vent'}, {'lang': 'fr', 'subject': 'air'}, {'subject': 'carte sensible'}]","['2025688 Bytes', '21175362 Bytes']","['image/jpeg', 'application/pdf']"
-10.5281/zenodo.4603535,Atomic coordinates of the periodic amorphous ice grain model,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",This dataset contains the atomic coordinates in the crystallographic interchange format (CIF) of the periodic model of an amorphous water icy grain surface as resulted from the geometry optimization at HF-3c level with the CRYSTAL17 computer code. The crystallographic unit cell has the c-axis arbitrary defined to be 60 Ã… to simulate the void upper/lower the icy surface.,mds,True,findable,0,0,0,0,0,2021-03-14T08:50:39.000Z,2021-03-14T08:50:39.000Z,cern.zenodo,cern,"Amorphous ice,HF-3c,CRYSTAL17,DFT","[{'subject': 'Amorphous ice'}, {'subject': 'HF-3c'}, {'subject': 'CRYSTAL17'}, {'subject': 'DFT'}]",,
-10.6084/m9.figshare.12421352,Additional file 1 of Impact of take-home messages written into slide presentations delivered during lectures on the retention of messages and the residentsâ€™ knowledge: a randomized controlled study,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 1. List of lectures.,mds,True,findable,0,0,18,0,0,2020-06-04T03:57:16.000Z,2020-06-04T03:57:17.000Z,figshare.ars,otjm,"Medicine,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['13820 Bytes'],
-10.26302/sshade/experiment_gs_20170713_009,Ag K edge XAS fluorescence of frozen Ag-GSH solution (pH=5),SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:33:29.000Z,2019-12-05T13:33:30.000Z,inist.sshade,mgeg,"laboratory,molecular solid solution,Frozen Ag-GSH solution (pH=5),laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen Ag-GSH solution (pH=5)'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/bandlist_abs_c2n2-c2n2-i,Absorption band list of C2N2 in natural solid C2N2 (phase I),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR absorption band list of $C_2N_2$ in natural solid $C_2N_2$ (phase I) between 20 and 95 K,mds,True,findable,0,0,0,0,0,2023-04-21T06:59:28.000Z,2023-04-21T06:59:29.000Z,inist.sshade,mgeg,"natural C2N2 - phase I,Cyanogen,Cyanogen phase I,C2N2 Phase I,Ethanedinitrile,460-19-5,C2N2,non polar molecular solid,molecular solids with apolar molecules,organic molecular solid,absorption,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural C2N2 - phase I', 'subjectScheme': 'name'}, {'subject': 'Cyanogen', 'subjectScheme': 'name'}, {'subject': 'Cyanogen phase I', 'subjectScheme': 'name'}, {'subject': 'C2N2 Phase I', 'subjectScheme': 'name'}, {'subject': 'Ethanedinitrile', 'subjectScheme': 'IUPAC name'}, {'subject': '460-19-5', 'subjectScheme': 'CAS number'}, {'subject': 'C2N2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.18709/perscido.2020.04.ds310,TMD-CAPTIMOVE,PerSciDo,2020,en,Dataset,,"This database called ""TMD-CAPTIMOVE"" provides transportation mode labelled data collected by 34 volunteers for a total time duration of around 48 hours. Considered transportation modes are: On-foot (Walking, Stairs, Elevators), Bike, Scooter, Bus, Tram. The number of labels is 11: Still, Walk, Upstairs, Downstairs, Elevator up, Elevator down, Bike, Electric scooter, kick scooter, Bus, Tram. Sensor data are: Acceleration (m/sÂ²), angular rate (Â°/s), atmospheric pressure (hPa), heart rate (beat per minute (BPM)). The sampling frequency for all data is 32 Hertz.",fabrica,True,findable,0,0,0,0,0,2020-04-10T16:11:40.000Z,2020-04-10T16:11:40.000Z,inist.persyval,vcob,"Computer science,Engineering,Learning","[{'lang': 'en', 'subject': 'Computer science'}, {'lang': 'en', 'subject': 'Engineering'}, {'lang': 'en', 'subject': 'Learning'}]",['500 MB'],['csv']
-10.5061/dryad.tdz08kq05,Mismatches between birds' spatial and temporal dynamics reflect their delayed response to global changes,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Global changes alter the dynamics of biodiversity, and are forecasted to continue or worsen in the decades to come. Modelling approaches used to anticipate these impacts are mainly based on the equivalence between spatial and temporal response to environmental forcings, generally called space-for-time substitution. However, several processes are known to generate deviations between spatial and temporal responses, potentially undermining the prediction based on space-for-time substitution. We here used high-resolution data from the french breeding bird survey to quantify and map the deviation between spatial and temporal patterns of bird abundances resulting from the dynamics of 124 species monitored in 2133 sites between 2001 and 2012. Using independent empirical data, we then tested specific predictions linked to the determinants (anthropogenic activities) and processes (lagged responses to environmental changes) potentially generating these deviations. We found that deviations between spatial and temporal patterns of abundances were particularly structured in space for bird communities. Following our predictions, these spaceâ€“time deviations were positively correlated with the human influence on ecosystems, and linked with colonizationâ€“extinction ratios and community completeness, two markers of ongoing delayed responses to environmental changes. Our results suggest that the deviations between spatial and temporal patterns are related to recent anthropogenic environmental changes and disequilibrium responses to these changes. Investigating deviations between spatial and temporal patterns of biodiversity might open promising perspectives for a formal quantification of disequilibrium state of biodiversity at large spatial scale.",mds,True,findable,147,8,0,1,0,2021-10-29T19:44:51.000Z,2021-10-29T19:44:53.000Z,dryad.dryad,dryad,"FOS: Natural sciences,FOS: Natural sciences","[{'subject': 'FOS: Natural sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Natural sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1083272 bytes'],
-10.17178/draixbleone_gal_rob_sedsource_0719,Contribution of source soils to Suspended Sediment Concentration of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Always quote below citation to Legout et al. (2013) when using these data. Legout C., Poulenard J., Nemery J., Navratil O., Grangeon T., Evrard O., Esteves M. (2013). Quantifying suspended sediment sources during floods in headwater catchments by spectrocolorimetry. Journal of Soils and Sediments. 8: 1478-1492.,Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This source contribution to suspended sediment concentration data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:48.000Z,2020-09-15T15:58:50.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Sediments,Soils,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Sediments', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.6084/m9.figshare.16851090,Additional file 17 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 17: Fig. S11. MMP activity of ZR75-1 cells depleted for NDPK-D. A) Left panel, representative images of MMP activity by gelatinÂ degradation zymography; the degradation bands of MMP9 are detected at 92 KDa. Right panel, representative Coomassie brilliant blue (CBB) of samples run simultaneously is shown as a loading control. Two different siRNA targeting NDPK-D were used. B) Bar graphs represent the densitometric and statistical analyses of the bands obtained by gelatin zymography shown for MMP9 of five independent biological replicates. Data show means Â± SEM (n=5). *p&lt;â€‰0.05 relative to scramble control (Scr).",mds,True,findable,0,0,93,1,0,2021-10-22T04:04:11.000Z,2021-10-22T04:04:13.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['1781176 Bytes'],
-10.6084/m9.figshare.19778277,Additional file 1 of Impact of prolonged requirement for insulin on 90-day mortality in critically ill patients without previous diabetic treatments: a post hoc analysis of the CONTROLING randomized control trial,figshare,2022,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. Table S1: Glycemic targets according to HbA1c level and distribution of patients according to HbA1c. Table S2: Characteristics of the patients included at Day 5 depending on PRI and glycemic control status. Table S3: Propensity score: having PRI on day 5. Multivariate logistic regression model. Figure S1: Histogram of the distribution of the propensity score (having Prolonged requirement of insulin at day 5). Table S4: Main results with weight truncation as sensitivity analyses â€“ impact of PRI on the occurrence of death before day 90 among, a cox survival model with ponderation on IPTW. Table S5: Sensitivity analyses: multivariate Cox hazard model without weighting for IPTW: association between PRI and the occurrence of death before day 90. Table S6: Subgroup analysis of patients with an HbA1C &lt;=6.5%: association between PRI and/or glycemic control and 90-day mortality.",mds,True,findable,0,0,32,1,0,2022-05-17T06:16:42.000Z,2022-05-17T06:16:44.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Physiology,Pharmacology,Biotechnology,Chemical Sciences not elsewhere classified,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",['92570 Bytes'],
-10.5281/zenodo.7254133,Preprocessed rat brain voxel time series,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Preprocessed version of voxel time-series for three rats, originally described in Becq et al., Functional connectivity is preserved but reorganized across several anesthetic regimes, NeuroImage, 2020. Used in Achard et al., Inter-regional correlation estimators for functional magnetic resonance imaging, arXiv, 2022, arXiv:2011.08269. The files named ""coord_ROI_x.txt"" contain the coordinates of the voxels inside region x (each line corresponds to one voxel). The files named ""ts_ROI_x.txt"" contain the BOLD signal time series of the voxels inside region x (each line corresponds to one voxel, each column to one timepoint). The voxels with time series equal to zero have been removed The files named ""weight_ROI_x.txt"" contain the weights associated with the voxels inside region x (each line corresponds to one voxel). Indeed, when assigning voxels to regions, some voxels end up at the border of several regions. These weights characterize the proportion of a given voxel present inside a given region. Hence, some voxels are included in several different regions. So when we compute the voxel-to-voxel inter-correlation between two regions we sometimes end up with inter-correlations equal to 1. In the current dataset this issue has been resolved and each voxel has been assigned to a single region.",mds,True,findable,0,0,0,0,0,2022-12-23T10:06:03.000Z,2022-12-23T10:06:03.000Z,cern.zenodo,cern,"fMRI,rodent,functional connectivity","[{'subject': 'fMRI'}, {'subject': 'rodent'}, {'subject': 'functional connectivity'}]",,
-10.17178/emaa_(13c)n_hyperfine_18ebf4d6,Hyperfine excitation of [13C]N by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",98 hyperfine energy levels / 503 radiative transitions / 4655 collisional transitions for para-H2 (16 temperatures in the range 5-80K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:28.000Z,2021-11-18T13:34:29.000Z,inist.osug,jbru,"target [13C]N,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]N', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.5835981,FIGURE 4 in Bulbophyllum section Rhytionanthos (Orchidaceae) in Vietnam with description of new taxa and new national record,Zenodo,2022,,Image,Open Access,"FIGURE 4. Four observed forms of Bulbophyllum taeniophyllum var. denticulatoalatum Vuong &amp; Aver. A, B [BV 1156 (VNM)], C, D [BV 1155 (VNM)], E, F [BV 1171 (VNM)], G,H [BV 1160 (VNM)]. All photos by Truong Ba Vuong.",mds,True,findable,0,0,2,2,0,2022-01-11T09:00:47.000Z,2022-01-11T09:00:47.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Plantae,Tracheophyta,Liliopsida,Asparagales,Orchidaceae,Bulbophyllum","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Plantae'}, {'subject': 'Tracheophyta'}, {'subject': 'Liliopsida'}, {'subject': 'Asparagales'}, {'subject': 'Orchidaceae'}, {'subject': 'Bulbophyllum'}]",,
-10.5061/dryad.mgqnk98wm,Data from: Shells of the bivalve Astarte moerchi give new evidence of a strong pelagic-benthic coupling shift occurring since the late 1970s in the NOW Polynya,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Climate changes in the Arctic may weaken the currently tight pelagic-benthic coupling. In response to decreasing sea ice cover, arctic marine systems are expected to shift from a â€˜sea-ice algae-benthosâ€™ to a â€˜phytoplankton-zooplanktonâ€™ dominance. We used mollusk shells as bioarchives and fatty acid trophic markers to estimate the effects of the reduction of sea ice cover on the exported food to the seafloor. Bathyal bivalve Astarte moerchi that lives at 600 m depth in northern Baffin Bay reveals a clear shift in growth variations and Ba/Ca ratios since the late 1970s that we relate to a change in food availability. Fatty acid compositions of tissues show that this species feeds mainly on microalgae exported from the euphotic zone to the seabed. We thus suggest that changes in pelagic-benthic coupling are likely due to either local changes in sea ice dynamics, mediated through bottom-up regulation exerted by sea ice on phytoplankton production or to a mismatch between phytoplankton bloom and zooplankton grazing due to change in their phenology. Both possibilities allow a more regular and increased transfer of food to the seabed.",mds,True,findable,150,9,0,0,0,2020-07-08T21:02:01.000Z,2020-07-08T21:02:02.000Z,dryad.dryad,dryad,,,['1544756 bytes'],
-10.34847/nkl.ca709965,Du village Ã  l'Ã©cran,NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,fr,Audiovisual,,"Par un atelier de dÃ©couverte de l'image, du son et du cinÃ©ma, les enfants des Ã©coles ont construit un film avec le collectif Regards des lieux. De la maternelle au CM2, de Gavet Ã  Livet, les enfants nous racontent comment ils habitent leur village. Comment vit-on Ã  Livet quand on est enfant ? Comment regarde-t-on le village ?
-
-Production Regards des lieux, Laure Nicoladze, JÃ©rÃ©mie Lamouroux (vidÃ©aste), Martin Debisschop (musicien), Automne 2019. 13 min. 30 sec.
-
-Avec l'ensemble des Ã©lÃ¨ves des Ã©coles de Gavet et RioupÃ©roux, les Ã©quipes Ã©ducatives et deux tÃ©moins
-
-Soutien : DRAC Auvergne RhÃ´ne Alpes, Conseil gÃ©nÃ©ral de l'IsÃ¨re, DAAC Grenoble, L'archipel des Utopies, Fondation Grandir en Culture, Ville de Grenoble, Conseil dÃ©partemental de l'IsÃ¨re""",api,True,findable,0,0,0,0,0,2023-10-03T09:08:38.000Z,2023-10-03T09:08:38.000Z,inist.humanum,jbru,"Voix,PoÃ¨mes en prose,""MÃ©moires des lieux,histoire orale,histoires de vie,enquÃªtes de terrain (ethnologie),DÃ©sindustrialisation,Patrimoine industriel,Pollution de l'air,Montagnes â€“ amÃ©nagement,Ã‰nergie hydraulique,Rives â€“ amÃ©nagement,Romanche, VallÃ©e de la (France),Keller, Charles Albert (1874-1940 , IngÃ©nieur A&amp;M),patrimoine immatÃ©riel,Conditions de travail,classe ouvriÃ¨re,Entretien, photos d'archives (cartes postales), Enfants -- Loisirs,cours d'Ã©cole,Aliments sauvages,Petits commerces","[{'lang': 'fr', 'subject': 'Voix'}, {'lang': 'fr', 'subject': 'PoÃ¨mes en prose'}, {'lang': 'fr', 'subject': '""MÃ©moires des lieux'}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'histoires de vie'}, {'lang': 'fr', 'subject': 'enquÃªtes de terrain (ethnologie)'}, {'lang': 'fr', 'subject': 'DÃ©sindustrialisation'}, {'lang': 'fr', 'subject': 'Patrimoine industriel'}, {'lang': 'fr', 'subject': ""Pollution de l'air""}, {'lang': 'fr', 'subject': 'Montagnes â€“ amÃ©nagement'}, {'lang': 'fr', 'subject': 'Ã‰nergie hydraulique'}, {'lang': 'fr', 'subject': 'Rives â€“ amÃ©nagement'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e de la (France)'}, {'lang': 'fr', 'subject': 'Keller, Charles Albert (1874-1940 , IngÃ©nieur A&amp;M)'}, {'lang': 'fr', 'subject': 'patrimoine immatÃ©riel'}, {'lang': 'fr', 'subject': 'Conditions de travail'}, {'lang': 'fr', 'subject': 'classe ouvriÃ¨re'}, {'lang': 'fr', 'subject': ""Entretien, photos d'archives (cartes postales), Enfants -- Loisirs""}, {'lang': 'fr', 'subject': ""cours d'Ã©cole""}, {'lang': 'fr', 'subject': 'Aliments sauvages'}, {'lang': 'fr', 'subject': 'Petits commerces'}]",['450108772 Bytes'],['video/mp4']
-10.17178/zaa_soil_temp.orchamp,Long term monitoring of near surface soil temperature in the french Alps part of ORCHAMP observatory,UGA â€“ OSUG â€“ ORCHAMP Consortium,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the French Alps. Data are part the ORCHAMP project. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in Â°C) measured at 5 cm belowground using stand-alone temperature data logger. The first sensors were installed in 2016. Data collection is still in progress and new sites are added every year since 2016.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:45.000Z,2021-07-13T13:43:47.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.6084/m9.figshare.22625608,"Additional file 1 of A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1.,mds,True,findable,0,0,0,0,0,2023-04-13T18:56:32.000Z,2023-04-13T18:56:32.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1508179 Bytes'],
-10.5061/dryad.vx0k6djp4,Data from : Vacant yet invasible niches in forest community assembly,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"It is controversial whether communities are saturated with species, or have vacant niches. The prevalence of vacant niches and the processes likely to promote their existence are poorly known. We used a processâ€based forest gapâ€model to simulate plant community dynamics in 11 sites along a climatic gradient across central Europe. We then used hypervolume analyses to study the existence of vacant niches (seen as empty volumes in the trait space of local species pools and communities), and we tested for the effect of abiotic (environmental filtering) and biotic (competition) processes on the functional hypervolumes along the climatic gradient. Last, we performed invasion simulations to assess the invasibility of detected vacant niches. Our results suggest that empty volumes in trait space are common, can arise from both abiotic and biotic processes, and are more likely in cold climates. We also showed that most vacant niches are invasible. 4. Synthesis: Our work supports the view that niche space is unsaturated, and that many viable ecological strategies are absent from these forest communities.",mds,True,findable,172,23,1,1,0,2020-06-22T22:40:00.000Z,2020-06-22T22:40:02.000Z,dryad.dryad,dryad,,,['19201663 bytes'],
-10.5281/zenodo.6390598,PB2007 French acoustic-articulatory speech database,Zenodo,2022,fr,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>PB2007 acoustic-articulatory speech dataset</strong> Badin, P.,Bailly G., Ben Youssef A., Elisei F., Savariaux C., Hueber T. <br> Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France<br> <br> LICENSE:<br> ========<br> This dataset is made available under the Creative Commons Attribution Share-Alike (CC-BY-SA) license <br> CREDITS - ATTRIBUTION:<br> ======================<br> If using this dataset, please cite one of the following studies (all of them exploit this dataset) <br> - Ben Youssef, A., Badin, P., Bailly, G. &amp; Heracleous, P. (2009). Acoustic-to-articulatory inversion using speech recognition and trajectory formation based on phoneme hidden Markov models. In Interspeech 2009, vol., pp. 2255-2258. Brighton, UK.<br> - Ben Youssef, A., Badin, P. &amp; Bailly, G. (2010). Can tongue be recovered from face? The answer of data-driven statistical models. In Interspeech 2010 (11th Annual Conference of the International Speech Communication Association) (T. Kobayashi, K. Hirose &amp; S. Nakamura, editors), vol., pp. 2002-2005. Makuhari, Japan.<br> - Hueber T., Bailly G., Badin P., Elisei F., ""Speaker Adaptation of an Acoustic-Articulatory Inversion Model<br> using Cascaded Gaussian Mixture Regressions"", Proceedings of Interspeech, Lyon, France, 2013, pp. 2753-2757. DATA FILES DESCRIPTION:<br> =======================<br> /_seq/: <br> Electro-magnetic Articulography data, recorded at 100Hz<br> Sensors :<br> PAR01 : LT_x (lower incisor, x coordinate)<br> PAR02 : tip_x (tongue tip, x coordinate)<br> PAR03 : mid_x (tongue dorsum, x coordinate)<br> PAR04 : bck_x (tongue back, x coordinate)<br> PAR05 : LL_vis_x (lower lips, x coordinate)<br> PAR06 : UL_vis_x (upper lips, x coordinate)<br> PAR07 : LT_z (lower incisor, z coordinate)<br> PAR08 : tip_z (tongue tip, z coordinate)<br> PAR09 : mid_z (tongue dorsum, z coordinate)<br> PAR10 : bck_z (tongue back, z coordinate)<br> PAR11 : LL_vis_z (lower lips, z coordinate)<br> PAR12 : UL_vis_z (upper lips, z coordinate) /_wav16: <br> subject audio signal, synchronized with the EMA data<br> Format: PCA wav, 16kHz, 16bits /_lab: phonetic segmentation using the following set<br> __ (long pause), _ (short pause), a, e^ (as in ""lait""), e (as in ""blÃ©""), i, y (as in ""voiture""), u (as in ""loup""), o^ (as in ""pomme""),x (as in ""pneu""), x^ (as in ""coeur""), a~ (as in ""flan""), e~ (as in ""in""), x~ (as in ""un""), o~ (as in ""mon""), p, t, k, f, s, s^ (as in ""CHat""), b, d, g, v, z, z^ (as in ""les Gens""), m, n, r, l, w, h, j, o, q (schwa)<br>",mds,True,findable,0,0,0,0,0,2022-03-28T14:22:53.000Z,2022-03-28T14:22:54.000Z,cern.zenodo,cern,"speech, articulatory, EMA","[{'subject': 'speech, articulatory, EMA'}]",,
-10.26302/sshade/experiment_op_20230220_001,Cu K edge XAS HERFD of Cu metallic powder (2% weight in BN),SSHADE/FAME (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2023-02-20T14:15:37.000Z,2023-02-20T14:15:37.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,metal,Cu,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'metal'}, {'subject': 'Cu'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['2 spectra'],['ASCII']
-10.26302/sshade/bandlist_raman_siderite,Raman bandlist of natural Siderite,SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Siderite (Fe &gt; 90%) at 295K,mds,True,findable,0,0,3,0,0,2023-04-22T06:34:21.000Z,2023-04-22T06:34:21.000Z,inist.sshade,mgeg,"Siderite,Iron(II) cation,Carbonate anion,Iron(2+) cation,15438-31-0,Fe2+,(CO3)2-,FeCO3,Siderite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Calcite group (Trigonal: R-3c),14.01.01.03,05.AB.05,Raman scattering,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Siderite', 'subjectScheme': 'name'}, {'subject': 'Iron(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Iron(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '15438-31-0', 'subjectScheme': 'CAS number'}, {'subject': 'Fe2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'FeCO3', 'subjectScheme': 'formula'}, {'subject': 'Siderite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Calcite group (Trigonal: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.01.03', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.26302/sshade/experiment_sh_20050101_001,Cd K edge XAS transmission and XAS fluorescence of cadmium components at 15K,SSHADE/FAME (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Study of cadmium speciation in plants,mds,True,findable,0,0,0,0,0,2019-11-20T15:26:47.000Z,2019-11-20T15:26:48.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,phosphate,cadmium hydrogen phosphate hydrate,natural terrestrial,sulfide,greenockite CdS,organic salt,cadmium(II) acetate dihydrate,sulfate,cadmium(II) sulfate,chloride,cadmium(II) chloride,carbonate,cadmium carbonate,nitrate,cadmium(II) nitrate,hydroxide,cadmium hydroxide,oxide,cadmium oxide,Cadmium-rich (1350ppm) sphalerite (Zn,Cd,Fe)S,molecular solid solution,Frozen solution of Cd-citrate,Frozen solution of Cd-malate,Frozen solution of Cd-cysteine,Frozen solution of Cd-GSH,Frozen solution of cadmium in organic acids,Frozen solution of cadmium(II) $Cd^{2+}$,laboratory measurement,transmission,None,hard X,hard X-rays,fluorescence emission","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'phosphate'}, {'subject': 'cadmium hydrogen phosphate hydrate'}, {'subject': 'natural terrestrial'}, {'subject': 'sulfide'}, {'subject': 'greenockite CdS'}, {'subject': 'organic salt'}, {'subject': 'cadmium(II) acetate dihydrate'}, {'subject': 'sulfate'}, {'subject': 'cadmium(II) sulfate'}, {'subject': 'chloride'}, {'subject': 'cadmium(II) chloride'}, {'subject': 'carbonate'}, {'subject': 'cadmium carbonate'}, {'subject': 'nitrate'}, {'subject': 'cadmium(II) nitrate'}, {'subject': 'hydroxide'}, {'subject': 'cadmium hydroxide'}, {'subject': 'oxide'}, {'subject': 'cadmium oxide'}, {'subject': 'Cadmium-rich (1350ppm) sphalerite (Zn,Cd,Fe)S'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of Cd-citrate'}, {'subject': 'Frozen solution of Cd-malate'}, {'subject': 'Frozen solution of Cd-cysteine'}, {'subject': 'Frozen solution of Cd-GSH'}, {'subject': 'Frozen solution of cadmium in organic acids'}, {'subject': 'Frozen solution of cadmium(II) $Cd^{2+}$'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'fluorescence emission'}]",['16 spectra'],['ASCII']
-10.5281/zenodo.7054555,"Dataset of ""PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the underlying dataset of ""PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing""",mds,True,findable,0,0,0,0,0,2022-10-18T16:12:00.000Z,2022-10-18T16:12:01.000Z,cern.zenodo,cern,"Polymer Electrolyte Membrane Fuel Cell,Dynamic load cycle,Local degradation,Automotive,Catalyst layer durability,Degradation mechanism","[{'subject': 'Polymer Electrolyte Membrane Fuel Cell'}, {'subject': 'Dynamic load cycle'}, {'subject': 'Local degradation'}, {'subject': 'Automotive'}, {'subject': 'Catalyst layer durability'}, {'subject': 'Degradation mechanism'}]",,
-10.26302/sshade/experiment_bs_20120923_001,Far-IR Transmission spectra of crystalline Ih H2O ice at different temperatures (80K to 160K),SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Far-IR Transmission spectra of crystalline Ih H2O ice (7.85Âµm film) deposited at 143K and measured at different temperatures (80K to 160K),mds,True,findable,0,0,0,0,0,2019-12-03T06:20:57.000Z,2019-12-03T06:20:58.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,H2O crystalline - phase Ih,laboratory measurement,transmission,macroscopic,FIR,Far-Infrared","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O crystalline - phase Ih'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}]",['5 spectra'],['ASCII']
-10.6084/m9.figshare.23822151,File 5 : Matlab file for part 1 and of the experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,File 5 : This matlab file corresponds to the baseline PSE measures and should be launched first.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:25.000Z,2023-08-02T11:18:25.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['15465 Bytes'],
-10.6084/m9.figshare.24202753,Additional file 3 of Obstructive sleep apnea: a major risk factor for COVID-19 encephalopathy?,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 3: Supplemental Table 3. Cerebrospinal fluid analyses at the time of COVID-19 acute encephalopathy.,mds,True,findable,0,0,0,0,0,2023-09-27T03:26:11.000Z,2023-09-27T03:26:12.000Z,figshare.ars,otjm,"Biophysics,Medicine,Cell Biology,Neuroscience,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Cancer,Mental Health,Virology","[{'subject': 'Biophysics'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Virology'}]",['19116 Bytes'],
-10.26302/sshade/experiment_jg_20090301_001,"Vis-NIR reflectance spectra of Werder (Ogaden, Ethiopia) basalt",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Werder (Ogaden, Ethiopia) basalts altered in hot conditions with globally increasing aridity since Late Oligocene. The samples are cobble fragments sampled from the same outcrop. The experiment contains spectra of the surface of the alteration rind and of the internal part of the samples.",mds,True,findable,0,0,0,0,0,2019-12-09T05:12:18.000Z,2019-12-09T05:12:18.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,carbonate,calcite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'carbonate'}, {'subject': 'calcite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['50 spectra'],['ASCII']
-10.5281/zenodo.7937759,Quantum mechanical modeling of the on-grain formation of acetaldehyde on H2O:CO dirty ice surfaces,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This Supporting Material contains: Cartesian coordinates of HF-3c optimized minima and transition state for the reaction in gas phase, in .xyz format, computed using Gaussian16 code; Fractional coordinates of HF-3c optimized minima and trasition state structures for crystalline periodic models in .mol format, editable with MOLDRAW, computed using CRYSTAL17 computer code.",mds,True,findable,0,0,0,0,0,2023-08-12T07:23:25.000Z,2023-08-12T07:23:26.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5549758,Glacier evolution projections in the French Alps (2015-2100),Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset describing the evolution of all individual glaciers in the French Alps for the 2015-2100 period under 29 different RCM-GCM-RCP combinations. The dataset includes annual topographical data (e.g. mean glacier altitude, surface area, slope...), climate data at the glacier's mean altitude (cumulative positive degree-days, winter snowfall, summer snowfall...) and annual glacier-wide mass balance data. The dataset is available in two formats: netCDF and CSV. The netCDF file is the recommended format, as it is well structured to be browsed across dimensions, particularly using tools such as xarray. A secondary dataset (.zip file) includes individual raster files for each glacier and year representing the evolving glacier ice thickness for each of the 29 climate scenarios.",mds,True,findable,0,0,0,0,0,2021-10-05T10:24:38.000Z,2021-10-05T10:24:39.000Z,cern.zenodo,cern,"glaciers,climate change,French Alps,glaciology,glacier evolution","[{'subject': 'glaciers'}, {'subject': 'climate change'}, {'subject': 'French Alps'}, {'subject': 'glaciology'}, {'subject': 'glacier evolution'}]",,
-10.5281/zenodo.3257654,Microscopy image sequences and annotated kymographs of laser ablation experiments in Drosophila embryos,Zenodo,2019,en,Dataset,"Creative Commons Attribution Non Commercial Share Alike 4.0 International,Open Access","<strong>Content</strong>
-
-This dataset contains 15 2D time-lapse fluorescence microscopy image sequences recorded with confocal laser-scanning microscopy. Each movie shows an epithelial tissue laser nanoablation experiment conducted in a Drosophila embryo.
-
-For each sequence, the dataset contains kymographs (one-dimensional space-time plots) of a supracellular cable that is cut during the ablation, and manually created tracks of visible features, such as the resulting cut ends. These tracks allow to estimate, for instance, recoil velocities of the cut tissue and may be used to evaluate automated methods for estimating said velocities.
-
-This dataset is used in the manuscript to evaluate various variational approaches for joint motion estimation and source identification:
-
-L. F. Lang, N. Dutta, E. Scarpa, B. Sanson, C.-B. SchÃ¶nlieb, and J. Ã‰tienne. Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations. 2019.
-
-<strong>Description</strong>
-
-The movies depict a square region of approximately \(42.2 \times 42.2 \, \mathrm{\mu m}^{2}\) at a spatial resolution of \(250 \times 250\) pixels. A typical sequence contains between 60 and 100 frames. They temporal interval between recorded frames was \(727.67 \, \mathrm{ms}\).
-
-Each sequence features cell membranes labelled with E-cadherin:GFP and shows a single plasma-induced laser nanoablation. The destructed tissue region is roughly of \(2 \, \mathrm{\mu m}\) length. This ablation is expected to have a width of the order of the size of one pixel. During the ablation the acquisition is paused, resulting in a black image.
-
-For the used microscopy techniques and for the preparation of flies, as well as for the details of the laser ablation method, see the paper:
-
-E. Scarpa, C. Finet, G. B. Blanchard, and B. Sanson. Actomyosin-driven tension at compartmental boundaries orients cell division independently of cell geometry In Vivo. Dev. Cell, 47(6):727â€“740.e6, December 2018. URL: https://doi.org/10.1016/j.devcel.2018.10.029
-
-The kymographs and the manually created annotations (tracks) of features were created using Fiji (https://fiji.sc/).
-
-<strong>Content</strong>
-
-The dataset contains 15 sequences placed in the following folder structure:
-
-
-	SqAX3_SqhGFP42_GAP43_TM6B
-	
-		190216E4PSB1
-		190216E5PSB1
-		190216E5PSB2
-		190216E6PSB1
-		190216E8PSB1
-		E2PSB1
-		E5PSB2
-		E8PSB1
-		PSB1E1
-		PSB4
-	
-	
-	SqhGFP40
-	
-		e1_PSB8
-		e3_PSB9
-		e3_PSB10
-		e4_PSB11
-		e4_PSB12
-	
-	
-
-
-Each folder contains:
-
-
-	The sequence itself in TIF format, e.g. ""190216E4PSB1PMT - PMT [560-] _C1.ome.tif"".
-	A file ""reslice.roi"" that indicates the location/direction of the cut supracellular cable.
-	3 different kymographs for each sequence obtained by taking avg/max/sum projections in Fiji orthogonal to the line specified in ""reslice.roi"", e.g.
-	
-		""AVG_Reslice of 190216E4PSB1PMT.tif"",
-		""MAX_Reslice of 190216E4PSB1PMT.tif"",
-		""SUM_Reslice of 190216E4PSB1PMT.tif"".
-	
-	
-	Text files that state the time/space coordinates of manually tracked features in the kymographs, e.g.
-	
-		""cutend_L.txt"" (coordinates of the left cut end after the ablation),
-		""cutend_R.txt"" (coordiantes of the right cut end),
-		""feat_X.txt"" (coordinates of additional features, where X is a number and L or R).
-	
-	
-	A ZIP file ""manual_ROIs.zip"" that contains all the coordinates of tracked features of the kymograph in ROI format (e.g. ""cutend_L.roi"").
-
-
-<strong>Usage</strong>
-
-The sequences, kymographs, and the tracks can be viewed using, for example, Fiji.
-
-For the automated analysis, see the Python code that accompanies the manuscript above. It is available at https://dx.doi.org/XXX
-
-<strong>License information</strong>
-
-This dataset is released under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. See CC BY-NA-SC 4.0.
-
-<strong>How to cite this dataset</strong>
-
-If you use this dataset in an academic publication, please consider citing the paper:
-
-L. F. Lang, N. Dutta, E. Scarpa, B. Sanson, C.-B. SchÃ¶nlieb, and J. Ã‰tienne. Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations. 2019.
-
-To cite solely the dataset, please use:
-
-L. F. Lang, N. Dutta, E. Scarpa, B. Sanson, C.-B. SchÃ¶nlieb, and J. Ã‰tienne. (2019). Microscopy image sequences and annotated kymographs of laser ablation experiments in Drosophila embryos [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3257654",mds,True,findable,0,0,0,0,0,2019-06-30T16:48:56.000Z,2019-06-30T16:48:57.000Z,cern.zenodo,cern,"Drosophila,cell membrane,laser ablation,microscopy,image sequence,tracking,kymograph","[{'subject': 'Drosophila'}, {'subject': 'cell membrane'}, {'subject': 'laser ablation'}, {'subject': 'microscopy'}, {'subject': 'image sequence'}, {'subject': 'tracking'}, {'subject': 'kymograph'}]",,
-10.5281/zenodo.4010153,I Sit But I Don't Know Why: Integrating Controlled And Automatic Motivational Precursors Within A Socioecological Approach To Predict Sedentary Behaviors,Zenodo,2020,,Dataset,Creative Commons Attribution 4.0 International,"This file contains the raw dataset analyzed.Â 
-
-
-Sheet 1 contains scored variables.
-
-
-Sheet 2 presents a description of the variables.Â ",mds,True,findable,0,0,0,0,0,2020-09-01T07:15:48.000Z,2020-09-01T07:15:49.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_ak_20141117_1,Mid-infrared attenuated total reflectance experiment with Mg2+ exchanged less 1 Î¼m size fraction of montmorillonite (SCa-3) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:15:47.000Z,2022-11-04T08:15:47.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Mg-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Mg-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['5 spectra'],['ASCII']
-10.6084/m9.figshare.16786735,Additional file 11 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 11. Funding document.,mds,True,findable,0,0,16,1,0,2021-10-12T03:41:34.000Z,2021-10-12T03:41:38.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['578011 Bytes'],
-10.15778/resif.zo2018,Dense nodal seismic array temporary experiment on Alpine Glacier of ArgentiÃ¨re (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2020,,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Seismology can yield key observational insights on glacier dynamical processes and structure characteristics. Spatializing the information gained from seismic signals however requires the deployment of dense seismic arrays, which has recently become routine in a wide range of geophysical contexts but has remained limited in glaciated environments. Here we present a dense seismic array experiment made of 98, 3-component and 35-days-long continuous records acquired in early spring on the ArgentiÃ¨re Glacier, French Alps. The seismic dataset is supplemented by a wide range of complementary observations obtained from ground penetrating radar, drone imagery, GPS positioning and in-situ instrumentation of basal glacier sliding velocities and water flow discharge. Our objective is to provide a comprehensive dataset that enables (i) investigating with unprecedented spatial definition a wide range of glacier seismic sources and structural characteristics associated with e.g. englacial fracturing, ice-bed sliding or englacial and subglacial water flow, as well as (ii) linking these seismically-derived findings to spatial and temporal changes in the overall glacier dynamics and structure. We argue that the present dataset gathers all the necessary components to reach these objectives. We report that important dynamical and structural changes occur during the seismically monitored time period and spatial area. We also conduct a wide range of classical seismic processing techniques including amplitude analysis, event picking from pattern matching and systematic beamforming that suggest a wide range of glacier sources and structural changes are detectable with our dense seismic array and their spatial and temporal dynamics may be studied in details in future studies.",fabrica,True,findable,0,0,0,2,0,2020-07-02T10:31:19.000Z,2020-07-02T10:31:52.000Z,inist.resif,vcob,"Argentiere glacier,dense seismic array,multiphysics approach","[{'subject': 'Argentiere glacier'}, {'subject': 'dense seismic array'}, {'subject': 'multiphysics approach'}]","['102 stations, 1.7Tb (miniseed format)']","['Miniseed data', 'hdf5 data', 'stationXML metadata']"
-10.5281/zenodo.7064041,"Figure data sets for the paper ""Coherent optical-microwave interface for manipulation of low-field electronic clock transitions in 171Yb3+:Y2SiO5""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Figure data sets.,mds,True,findable,0,0,0,0,0,2022-09-09T08:55:06.000Z,2022-09-09T08:55:06.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_ortho-(15n)h2d_rotation_018a251d,Rotation excitation of ortho-[15N]H2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",56 rotation energy levels / 282 radiative transitions / 1540 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 1540 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:32.000Z,2021-11-18T13:35:33.000Z,inist.osug,jbru,"target ortho-[15N]H2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-[15N]H2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.1495070,Synthetically Spoken STAIR,Zenodo,2018,ja,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset consists of synthetically spoken captions for the STAIR dataset. Following the same methodology as ChrupaÅ‚a <em>et al.</em> (see article | dataset | code) we generated speech for each caption of the STAIR dataset using Google's Text-to-Speech API. This dataset was used for visually grounded speech experiments (see article accepted at ICASSP2019). <pre><code>@INPROCEEDINGS{8683069, author={W. N. {Havard} and J. {Chevrot} and L. {Besacier}}, booktitle={ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title={Models of Visually Grounded Speech Signal Pay Attention to Nouns: A Bilingual Experiment on English and Japanese}, year={2019}, volume={}, number={}, pages={8618-8622}, keywords={information retrieval;natural language processing;neural nets;speech processing;word processing;artificial neural attention;human attention;monolingual models;part-of-speech tags;nouns;neural models;visually grounded speech signal;English language;Japanese language;word endings;cross-lingual speech-to-speech retrieval;grounded language learning;attention mechanism;cross-lingual speech retrieval;recurrent neural networks.}, doi={10.1109/ICASSP.2019.8683069}, ISSN={2379-190X}, month={May},}</code></pre> The dataset comprises the following files : <strong>mp3-stair.tar.gz</strong> :<strong> </strong>MP3 files of each caption in the STAIR dataset. Filenames have the following pattern <em>imageID_captionID</em>, where both <em>imageID</em> and <em>captionID </em>correspond to those provided in the original dataset (see annotation format here) <strong>dataset.mfcc.npy</strong> : Numpy array with MFCC vectors for each caption. MFCC were extracted using python_speech_features with default configuration. To know to which caption the MFCC vectors belong to, you can use the files dataset.words.txt and dataset.ids.txt. <strong>dataset.words.txt</strong> : Captions corresponding to each MFCC vector (line number = position in Numpy array, starting from 0) <strong>dataset.ids.txt </strong>: IDs of the captions (<em>imageID_captionID</em>) corresponding to each MFCC vector (line number = position in Numpy array, starting from 0) Splits test <strong>test.txt </strong>: captions comprising the test split <strong>test_ids.txt</strong>: IDs of the captions in the test split <strong>test_tagged.txt </strong>: tagged version of the test split <strong>test-alignments.json.zip </strong>: Forced alignments of all the captions in the test split. (dictionary where the key corresponds to the caption ID in the STAIR dataset). <em>Due to an unknown error during upload, the JSON file had to be zipped...</em> train <strong>train.txt </strong>: captions comprising the train split <strong>train_ids.txt </strong>: IDs of the captions in the train split <strong>train_tagged.txt </strong>: tagged version of the train split val <strong>val.txt </strong>: captions comprising the val split <strong>val_ids.txt </strong>: IDs of the captions in the val split <strong>val_tagged.txt </strong>: tagged version of the val split",mds,True,findable,2,0,0,0,0,2018-11-26T09:03:10.000Z,2018-11-26T09:03:11.000Z,cern.zenodo,cern,"mscoco,stair,speech,visually grounded speech","[{'subject': 'mscoco'}, {'subject': 'stair'}, {'subject': 'speech'}, {'subject': 'visually grounded speech'}]",,
-10.5281/zenodo.10133203,"Digital Elevation Models (DEMs) and lava outlines from the 2023 Litla-HrÃºtur eruption, Iceland, from PlÃ©iades satellite stereoimages",Zenodo,2023,en,Dataset,Creative Commons Attribution Non Commercial 2.0 Generic,"Introduction:
-On the 10th of July 2023, at 16:40, an eruption started in the Reykjanes Peninsula, Iceland, next to the mountain ""Litla-HrÃºtur"". As part of the response, the CIEST2 french initiative was activated (Gouhier et al., 2022). Once activated, PlÃ©iades stereoimages were tasked and scheduled for fast delivery within the area of Interest. On the 20th of August 2023 an additional stereopair of images from PlÃ©iades was acquired and processed after the eruption had stopped.
-Once acquired and delivered, the PlÃ©iades images were processed following the methods described in the section below. This repository contains the near-real time results of DEMs, difference maps compared to a pre-eruption DEM, and lava outlines digitized from the difference map and the orthoimage.
-Â 
-Methods:
-The PlÃ©iades stereoimages were processed using the Ames StereoPipeline (ASP, Shean et al., 2016, see ASP branch in repository), yielding a DEM in 2x2m GSD and an orthoimage in 0.5x0.5m GSD. The processing was done using as only input the stereoimages and their orientation information, as Rational Polynomial Coefficients (RPCs). The parallel_stereo routine performs all the steps needed in the correlation of the stereoimages, yielding a pointcloud which is then interpolated using the routine point2dem. Besides default parameters, the parallel_stereo parameters used for creation of the DEMs were the standard parameters, plus the following ones:Â 
---stereo-algorithm asp_mgmÂ --corr-tile-size 300 --corr-timeout 900 --cost-mode 3 --subpixel-mode 9 --corr-kernel 7 7 --subpixel-kernel 15 15
-Once the DEM was created, DEM co-registration was applying in order to align and minimize positional biases between the pre-eruption DEM and the PlÃ©iades DEMs. We followed the co-registration method of Nuth & KÃ¤Ã¤b (2011), implemented by David Shean's co-registration routines (https://github.com/dshean/demcoreg, Shean et al., 2016). The co-registration involved a horizontal and vertical shift of the PlÃ©iades DEMs, as well as a planar tilt correction. The horizontal offset obtained from the DEM co-registration was also applied to the PlÃ©iades orthoimages.
-The pre-eruption DEM used for this study is a survey done on the 27th of September 2022, data collected Birgir Ã“skarsson and Robert A. Askew (Icelandic Institute of Natural History) and processed by Sydney R. Gunnarsson and JoaquÃn M.C. Belart (National Land Survey of Iceland). Metadata of this dataset is available here: https://gatt.lmi.is/geonetwork/srv/eng/catalog.search#/metadata/c59da6cf-18ee-44af-a085-afbad0de029a
-Lava outlines were manually digitized from the co-registered PlÃ©iades orthoimages, The lava outlines are available as GeoPackages in the ""GPKG"" branch of the repository.
-At the moment, the results from PlÃ©iades are used by the Institute of Earth Sciences of the Univesity of Iceland (JarÃ°visindustofnun HÃ¡skoli Ãslands) to estimate lava volumes and effusion rate, following the methods described in Pedersen et al. (2022). Please contact the authors if these data are intended to be used for a similar purpose, in order to avoid conflict of interests or duplicate work. We encourage collaboration and data sharing for the purpose of the monitoring of the eruption and for research applications.
-Data naming convention:
-faf_YYYYMMDD_hhmmss_hhmmss_*align.tif: DEM obtained from the processing, co-registered to the reference pre-eruption DEM.
-faf_YYYYMMDD_hhmmss_hhmmss_*align_diff.tif: Difference of elevation between the PlÃ©iades DEM and the pre-eruption DEM.
-faf_YYYYMMDD_hhmm.gpkg: Polygon containing the lava outlines, extracted from the PlÃ©iades orthoimage and the map of elevation difference.
-0_faf_YYYYMMDD_hhmmss_hhmmss_*fig.png: A figure showing the latest map of elevation difference, overlaid with a hillshade of the latest PlÃ©iades DEM and the latest lava outlines, result of the processing of the PlÃ©iades stereoimages. The figure was created using the tool imviewer.py from the GitHub repository https://github.com/dshean/imview (Shean et al., 2016).
-Data Specifications:
-
-Cartographic projection: ISN93 / Lambert 1993 (EPSG:3057, https://epsg.io/3057)
-Origin of Elevation: meters above GRS80 ellipsoid (WGS84)
-Raster data format: GeoTIFF
-Raster compression system: LZW
-Vector data format: GeoPackage (https://www.geopackage.org/)
-PlÃ©iades dataset includes only DEMs because the PlÃ©iades ortho imagery is for licensed use only. Please contact the authors for further information on this.
-Acknowledgements:Â 
-PlÃ©iades images from July 2023 were provided under the CIESTÂ² initiative (CIEST2 is part of ForM@Ter (https://en.poleterresolide.fr/). PlÃ©iades images from August 2023 were provided under the CEOS Volcano Supersite (https://ceos.org/ourwork/workinggroups/disasters/gsnl/). Image PlÃ©iadesÂ©CNES2023, distribution AIRBUS DS.
-Dataset Attribution:
-This dataset is licensed under aâ€¯Creative Commons CC BY-NC 4.0 International Licenseâ€¯(Attribution-NonCommercial).
-Citation:
-Please cite this repository as described below:
-Joaquin M.C. Belart, Virginie Pinel, Hannah. I. Reynolds, Etienne Berthier, & Sydney R. Gunnarson. (2023). Digital Elevation Models (DEMs) and lava outlines from the 2023 Litla-HrÃºtur eruption, Iceland, from PlÃ©iades satellite stereoimages (1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10133203",api,True,findable,0,0,0,0,0,2023-11-15T09:44:08.000Z,2023-11-15T09:44:08.000Z,cern.zenodo,cern,"DEM,Volcano,Emergency tasking,PlÃ©iades","[{'subject': 'DEM'}, {'subject': 'Volcano'}, {'subject': 'Emergency tasking'}, {'subject': 'PlÃ©iades'}]",,
-10.5281/zenodo.7840469,"Consilience across multiple, independent genomic data sets reveals species in a complex with limited phenotypic variation",Zenodo,2023,,Other,"Creative Commons Attribution 4.0 International,Open Access","Species delimitation in the genomic era has focused predominantly on the application of multiple analytical methodologies to a single massive parallel sequencing (MPS) data set, rather than leveraging the unique but complementary insights provided by different classes of MPS data. In this study we demonstrate how the use of two independent MPS data sets, a sequence capture data set and a single nucleotide polymorphism (SNP) data set generated via genotyping-by-sequencing, enables the resolution of species in three complexes belonging to the grass genus <em>Ehrharta, </em>whose strong population structure and subtle morphological variation limit the effectiveness of traditional species delimitation approaches. Sequence capture data are used to construct a comprehensive phylogenetic tree of <em>Ehrharta </em>and to resolve population relationships within the focal clades, while SNP data are used to detect patterns of gene pool sharing across populations, using a novel approach that visualises multiple values of K. Given that the two genomic data sets are fully independent, the strong congruence in the clusters they resolve provides powerful ratification of species boundaries in all three complexes studied. Our approach is also able to resolve a number of single-population species and a probable hybrid species, both which would be difficult to detect and characterize using a single MPS data set. Overall, the data reveal the existence of 11 and five species in the <em>E. setacea</em> and <em>E. rehmannii </em>complexes, with the <em>E. ramosa</em> complex requiring further sampling before species limits are finalized. Despite phenotypic differentiation being generally subtle, true crypsis is limited to just a few species pairs and triplets. We conclude that, in the absence of strong morphological differentiation, the use of multiple, independent genomic data sets is necessary in order to provide the cross-data set corroboration that is foundational to an integrative taxonomic approach.",mds,True,findable,0,0,0,0,0,2023-04-18T14:50:45.000Z,2023-04-18T14:50:45.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.18tg7,"Data from: High-throughput microsatellite genotyping in ecology: improved accuracy, efficiency, standardization and success with low-quantity and degraded DNA",Dryad,2016,en,Dataset,Creative Commons Zero v1.0 Universal,"Microsatellite markers have played a major role in ecological, evolutionary and conservation research during the past 20 years. However, technical constrains related to the use of capillary electrophoresis and a recent technological revolution that has impacted other marker types have brought to question the continued use of microsatellites for certain applications. We present a study for improving microsatellite genotyping in ecology using high-throughput sequencing (HTS). This approach entails selection of short markers suitable for HTS, sequencing PCR-amplified microsatellites on an Illumina platform and bioinformatic treatment of the sequence data to obtain multilocus genotypes. It takes advantage of the fact that HTS gives direct access to microsatellite sequences, allowing unambiguous allele identification and enabling automation of the genotyping process through bioinformatics. In addition, the massive parallel sequencing abilities expand the information content of single experimental runs far beyond capillary electrophoresis. We illustrated the method by genotyping brown bear samples amplified with a multiplex PCR of 13 new microsatellite markers and a sex marker. HTS of microsatellites provided accurate individual identification and parentage assignment and resulted in a significant improvement of genotyping success (84%) of faecal degraded DNA and costs reduction compared to capillary electrophoresis. The HTS approach holds vast potential for improving success, accuracy, efficiency and standardization of microsatellite genotyping in ecological and conservation applications, especially those that rely on profiling of low-quantity/quality DNA and on the construction of genetic databases. We discuss and give perspectives for the implementation of the method in the light of the challenges encountered in wildlife studies.",mds,True,findable,490,29,1,1,0,2016-08-10T18:52:23.000Z,2016-08-10T18:52:24.000Z,dryad.dryad,dryad,"Ursus arctos,individual identification,parentage analysis,short tandem repeat (STR)","[{'subject': 'Ursus arctos'}, {'subject': 'individual identification'}, {'subject': 'parentage analysis'}, {'subject': 'short tandem repeat (STR)'}]",['5058001164 bytes'],
-10.5281/zenodo.2485983,Phenomenological study of BSM Î¦â†’tt process,Zenodo,2018,,Software,Open Access,Supporting material for a phenomenological study of the production of a heavy Higgs boson decaying into a pair of top quarks. The code used to perform the scans over parameters of various signal models is included here.,mds,True,findable,0,0,1,0,0,2018-12-21T23:23:09.000Z,2018-12-21T23:23:10.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_zed_20230705_01,NIR reflectance spectra of Mercury minerals analogs cooled up to 148K,SSHADE/DAYSY (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",NIR reflectance spectra of Mercury minerals analogs (anorthite 80 and synthetic volcanic glasses) cooled by 50K step up to 148 K.,mds,True,findable,0,0,2,0,0,2023-07-10T14:20:24.000Z,2023-07-10T14:20:24.000Z,inist.sshade,mgeg,"laboratory measurement,confocal reflection,micro-imaging,NIR,Near-Infrared,reflectance factor,Bytownite,mineral,natural terrestrial,silicate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'confocal reflection', 'subjectScheme': 'main'}, {'subject': 'micro-imaging', 'subjectScheme': 'main'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Bytownite', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'silicate', 'subjectScheme': 'compound type'}]",['16 spectra'],['ASCII']
-10.6084/m9.figshare.16851123,Additional file 25 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Text,Creative Commons Attribution 4.0 International,"Additional file 25: Table S5. Association between NME4, EMT and tumor invasion marker expression in cervix tumors. The relationship between NME4 expression and several key players of EMT and tumor invasion was studied in human cervix tumors from the TCGA database.",mds,True,findable,0,0,93,1,0,2021-10-22T04:06:14.000Z,2021-10-22T04:06:18.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['14398 Bytes'],
-10.17178/emaa_n(15n)h-plus_hyperfine_4f2d77ce,Hyperfine excitation of N[15N]H+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",13 hyperfine energy levels / 19 radiative transitions / 78 collisional transitions for para-H2 (14 temperatures in the range 5-70K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:18.000Z,2021-11-18T13:35:19.000Z,inist.osug,jbru,"target N[15N]H+,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N[15N]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.18709/perscido.2023.04.ds390,"Snow spectral albedo, specific surface area and optical grain diameter timeseries from 5-year summer observations at two windy coastal locations of Antarctica",PerSCiDO,2023,,Dataset,,"This dataset contains a in-situ measurements of the spectral albedo acquired during 5 summer seasons at two coastal locations close to the French research station of Dumont d'Urville, in East Antarctica. The measurements were acquired with the Multiband albedometer and corrected for stray light, cosine response of the collector and surface slope under the albedometer's footprint. The snow specific surface area and optical grain diameter were then retrieved from the spectral albedo. All details about the Multiband instrument, the measurement processing and uncertainties are provded in the accompanying paper. The dataset also contains the codes and the auxiliary data used to produce the figures of the article.",api,True,findable,0,0,0,0,0,2023-04-23T13:39:51.000Z,2023-04-23T13:39:51.000Z,inist.persyval,vcob,"glaciology,Environmental Science and Ecology","[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['10 Mo'],
-10.5281/zenodo.7835266,Discrete and continuum simulations of bedload transport with kinetic theory of granular flow,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This depository contains the simulation results used in the publication Chassagne, R., Chauchat J. &amp; Cyrille B. (2023). A frictional-collisional model for bedload transport based on kinetic theory of granular flows: discrete and continuum approaches. It contains DEM results as well as the results of the continuum model. The results are written in text files containing headers with name and units of the variables.",mds,True,findable,0,0,0,0,0,2023-04-17T08:08:38.000Z,2023-04-17T08:08:38.000Z,cern.zenodo,cern,"Granular flow,Sediment transport,Kinetic theory of granular flows","[{'subject': 'Granular flow'}, {'subject': 'Sediment transport'}, {'subject': 'Kinetic theory of granular flows'}]",,
-10.5281/zenodo.8014905,Experimental investigation of the effects of particle shape and friction on the mechanics of granular media,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"This datasetÂ corresponds to the raw data and experimental measurements of the PhD thesis ""Experimental investigation of the effects of particle shape and friction on the mechanics of granular media"" of Gustavo PinzÃ³n (2023, UniversitÃ© Grenoble Alpes), available at: https://hal.science/tel-04202827v1.Â 
-The experiments correspond to a drained triaxial compression test of cylindrical granular specimens, a commonÂ  testing procedure used in soil mechanics to characterise the mechanical response of a specimen under deviatoric loading. Each specimen is 140mm in height and 70mm in diameter, and is composed of more than 20000 ellipsoidal particles of a given aspect ratio and interparticle friction. The dataset comprises the test of six specimens, as a result of the combination of 3 particles shapes (Flat, Medium, and Rounded) and 2 values of interparticle friction (Rough and Smooth). A naming system forÂ the specimens is adopted to reflect the morphology of the composing particles (e.g., the test EFR correspond to theÂ specimen with Flat and Rough particles). Further details on the experimental methods are found in Ch. 2 of the thesis.
-Â The compression tests are performed inside the x-ray scanner of Laboratoire 3SR in Grenoble (France), where theÂ specimens are scanned each 0.5% of axial shortening, at an isotropic voxel size of 100 micrometer per pixel. TheÂ obtained radiographies are reconstructed using a Filtered Back Projection algorithm, using the software given by theÂ x-ray cabin manufacturer (RX Solutions, France). The series of obtained 16-bit greyscale 3D images are processed withÂ the open source software spam, version 0.6.2. The coordinate system of all the images is ZYX, where Z correspondsÂ to compression direction. Further details on the image analysis techniques are found in Ch. 3 of the thesis.
-AdditionalÂ greyscale images, raw projections, and x-ray tomography files are available upon request. For visualisation purposes, the 3D images in .tif format can be opened using Fiji.Â ",mds,True,findable,0,0,0,0,0,2023-06-08T12:30:27.000Z,2023-06-08T12:30:28.000Z,cern.zenodo,cern,"Anisometric particles,Fabric anisotropy,X-ray tomography,Image analysis","[{'subject': 'Anisometric particles'}, {'subject': 'Fabric anisotropy'}, {'subject': 'X-ray tomography'}, {'subject': 'Image analysis'}]",,
-10.15778/resif.ra,RESIF-RAP French Accelerometric Network,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,1995,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Launched in 1995, a scientific consortium was created in 2000 to form a network of all the scientific and operational entities involved in understanding and monitoring seismic hazard and vulnerability in France. The French Accelerometric Network consortium (RAP) includes 10 French partners under the supervision of three administrative agencies. The main role of the GIS-RAP and its scientific board is to decide upon and plan an instrumentation policy consistent with the scientific aims at the start of the project and for future scientific purposes. The main objective of the French Accelerometric Network (RAP) is to record, process, analyze, provide, and disseminate information on accelerometric waveforms so as to provide high-quality data and information quickly whenever needed by the scientific community, local and national authorities, or the general public. Since 1995, around 160 stations have been set up in seismic areas of France, located in the most active regions in France (Alps, Pyrenees and Central mountains, Western regions, French West Islands). The stations are operated by academic and public agencies, all stations are equipped with a 24-bytes acquisition system and force-balance accelerometer, designed for resolution between weak to strong motion produced by typical French earthquakes. The network has evolved towards real-time and continuous near-real time distribution and archiving. This effort also includes specific research objectives (e.g., site effects, building monitoring, deep boreholes, etc.). All data are archived and freely distributed by the RAPâ€™s National Data Centre (RAP-NDC) embedded into the RESIF-DC infrastructure, for seismology, engineering seismology, and earthquake engineering purposes. RAP is the accelerometric component of the French Sismological and Geodetic Network (RESIF).",mds,True,findable,0,0,0,9,0,2014-11-20T13:16:38.000Z,2014-11-20T13:16:38.000Z,inist.resif,vcob,"Accelerometry,Strong motion","[{'subject': 'Accelerometry'}, {'subject': 'Strong motion'}]",['Approximately 230 active stations; greater than 3.7 GB/day.'],"['Miniseed data', 'stationXML metadata', 'SAC data en m/s/s', 'ASCII data en m/s/s']"
-10.5061/dryad.6q573n621,Focal vs. faecal: Seasonal variation in the diet of wild vervet monkeys from observational and DNA metabarcoding data,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"1. Assessing the diet of wild animals reveals valuable information about their ecology and trophic relationships that may help elucidate dynamic interactions in ecosystems and forecast responses to environmental changes. 2. Advances in molecular biology provide valuable research tools in this field. However, comparative empirical research is still required to highlight strengths and potential biases of different approaches. Therefore, this study compares environmental DNA and observational methods for the same study population and sampling duration. 3. We employed DNA metabarcoding assays targeting plant and arthropod diet items in 823 faecal samples collected over 12 months in a wild population of an omnivorous primate, the vervet monkey (Chlorocebus pygerythrus). DNA metabarcoding data were subsequently compared to direct observations. 4. We observed the same seasonal patterns of plant consumption with both methods, however, DNA metabarcoding showed considerably greater taxonomic coverage and resolution compared to observations, mostly due to the construction of a local plant DNA database. We found a strong effect of season on variation in plant consumption largely shaped by the dry and wet seasons. The seasonal effect on arthropod consumption was weaker but feeding on arthropods was more frequent in spring and summer, showing overall that vervets adapt their diet according to available resources. The DNA metabarcoding assay outperformed also direct observations of arthropod consumption in both taxonomic coverage and resolution. 5. Combining traditional techniques and DNA metabarcoding data can therefore not only provide enhanced assessments of complex diets or reveal trophic interactions to the benefit of wildlife conservationists and managers but also opens new perspectives for behavioural ecologists studying whether diet variation in social species is induced by environmental differences or might reflect selective foraging behaviours.",mds,True,findable,129,25,0,1,0,2022-09-28T22:41:22.000Z,2022-09-28T22:41:23.000Z,dryad.dryad,dryad,"DNA metabarcoding,Vervet Monkey,Chlorocebus pygerythrus,FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'DNA metabarcoding'}, {'subject': 'Vervet Monkey'}, {'subject': 'Chlorocebus pygerythrus'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['5277538659 bytes'],
-10.26302/sshade/experiment_ik_20180419_001,Co K edge XAS transmission of Co metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T09:00:05.000Z,2019-12-05T09:00:10.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Co,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Co'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_ak_20141031_1,Mid-infrared attenuated total reflectance experiment with Na+ exchanged less 0.1 Î¼m size fraction of montmorillonite (SWy-2) equilibrated with H2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:10:37.000Z,2022-11-04T08:10:38.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Na-exchanged montmorillonite SWy-2 size-fraction &lt;0.1 Âµm,liquid,H2O deionized,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-exchanged montmorillonite SWy-2 size-fraction &lt;0.1 Âµm'}, {'subject': 'liquid'}, {'subject': 'H2O deionized'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['6 spectra'],['ASCII']
-10.26302/sshade/experiment_hm_20170913_020,Optical constants from UV to FIR for amorphous Mg-silicates produced by the sol-gel technique,SSHADE/DOCCD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-04-20T13:08:54.000Z,2020-04-20T13:08:55.000Z,inist.sshade,mgeg,"solid,laboratory,silicate,Mg-silicate gel with composition Mg/Si=0.7,Mg-silicate gel with composition Mg/Si=1.0,Mg-silicate gel with composition Mg/Si=1.5,Mg-silicate gel with composition Mg/Si=2.0,Mg-silicate gel with composition Mg/Si=2.4,laboratory measurement,specular reflection,macroscopic,UV,Ultraviolet,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'silicate'}, {'subject': 'Mg-silicate gel with composition Mg/Si=0.7'}, {'subject': 'Mg-silicate gel with composition Mg/Si=1.0'}, {'subject': 'Mg-silicate gel with composition Mg/Si=1.5'}, {'subject': 'Mg-silicate gel with composition Mg/Si=2.0'}, {'subject': 'Mg-silicate gel with composition Mg/Si=2.4'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'UV'}, {'subject': 'Ultraviolet'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['5 spectra'],['ASCII']
-10.5281/zenodo.10211920,"Dataset for ""Reduced ice loss from Greenland under stratospheric aerosol injection""",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Dataset for the paper ""Reduced ice loss from Greenland under stratospheric aerosol injection""(Journal of Geophysical Research: Earth Surface, 128 (11), e2023JF007112, doi: 10.1029/2023JF007112).
-Please see the README for details.
-V1.1.1: README and metadata updated.V1.1: Scripts related to the ISIMIP-method downscaling, SEMIC code, as well as configuration and input files for SICOPOLIS and Elmer/Ice added.V1: Results of new simulations that include both atmospheric and oceanic forcing.V0.9.1: Crucial bug fix in the files ElmerIce_MIROC-ESM-CHEM-{RCP85,RCP45,G4}_2D_final.nc (those in V0.9 were faulty).V0.9: Scalar variables: now distinguished between state and flux variables. 2D variables added.V0.5: Scalar variables as functions of time.
-* * * * * * *
-The following script may be used to download the entire content of the archive on a Unix/Linux system:
-#!/bin/bash# --- download_all.sh ---repodir=""https://zenodo.org/record/10211920/files""files=(""_README.pdf"" \Â Â Â Â Â Â  ""Output_SICOPOLIS_Scalar.zip"" ""Output_ElmerIce_Scalar.zip"" \Â Â Â Â Â Â  ""Output_SICOPOLIS_2D.zip"" ""Output_ElmerIce_2D.zip"" \Â Â Â Â Â Â  ""Repo_ISIMIP_downscale.zip"" ""Repo_SEMIC.zip"" \Â Â Â Â Â Â  ""Repo_SICOPOLIS.zip"" ""Repo_ElmerIce.zip"")for file in ${files[@]}; doÂ Â Â  wget ""${repodir}/${file}""doneecho ""--- Done! ---""
-Â ",api,True,findable,0,0,1,1,0,2023-11-28T03:30:42.000Z,2023-11-28T03:30:43.000Z,cern.zenodo,cern,"Greenland,Ice sheet,Modelling,Ice-sheet modelling,Arctic glaciology,Climate change,Ice and climate,Sea-level rise,Geoengineering","[{'subject': 'Greenland'}, {'subject': 'Ice sheet'}, {'subject': 'Modelling'}, {'subject': 'Ice-sheet modelling'}, {'subject': 'Arctic glaciology'}, {'subject': 'Climate change'}, {'subject': 'Ice and climate'}, {'subject': 'Sea-level rise'}, {'subject': 'Geoengineering'}]",,
-10.5281/zenodo.10005462,"Data for the paper: ""Folding a Cluster containing a Distributed File-System""",Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Associated paper: https://hal.science/hal-04038000
-The repository containing the analysis scripts is available here
-
-NFS repo
-OrangeFS repo",api,True,findable,0,0,0,0,0,2023-10-15T23:10:54.000Z,2023-10-15T23:10:54.000Z,cern.zenodo,cern,,,,
-10.15778/resif.xp2023,"MACIV-BB temporary experiment to carry out a seismic tomography of the crustal and mantle structures of the Massif Central, France (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2023,,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Network of 35 broadband stations, installed over the whole Massif Central in addition to the permanent stations. Objectives: seismic tomography of crustal and mantle structures, and detection of small magnitude events (earthquakes, possibly tremors, etc.). Funding ANR AAP2022 BQR ISTerre. French component of the European initiative AdriaArray, the data (distributed by RESIF) will be immediately open (no embargo period).",fabrica,True,findable,0,0,0,0,0,2023-04-19T16:39:23.000Z,2023-04-19T16:40:16.000Z,inist.resif,vcob,"France,Massif Central,broadband instruments,seismic tomography of crust and mantle,event detection,AdriaArray","[{'subject': 'France'}, {'subject': 'Massif Central'}, {'subject': 'broadband instruments'}, {'subject': 'seismic tomography of crust and mantle'}, {'subject': 'event detection'}, {'subject': 'AdriaArray'}]","['4 stations, 4Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.26302/sshade/experiment_dm_20131025_003,NIR reflectance spectra of AMES tholins covering Spectralon in various proportions,SSHADE/SOSYPOL (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR reflectance spectra of AMES tholins covering Spectralon in various proportions (15%, 4%, 2%) at ambient P and T",mds,True,findable,0,0,0,0,0,2020-02-13T12:09:15.000Z,2020-02-13T12:09:16.000Z,inist.sshade,mgeg,"carbonaceous,laboratory,complex macromolecular mixture,Tholins AMES 90%N2:10%CH4,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'carbonaceous'}, {'subject': 'laboratory'}, {'subject': 'complex macromolecular mixture'}, {'subject': 'Tholins AMES 90%N2:10%CH4'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['3 spectra'],['ASCII']
-10.26302/sshade/experiment_zed_20230127_01,FIR spectra of carbonaceous chondrites pellets irradiated by $He^+$ ions,SSHADE/DAYSY (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Far-IR spectra of carbonaceous chondrite pellets: unirradiated area and area irradiated by $He^+$ ions at 40 keV and a total fluence of $6.10^{16} ions.cm{-2}$.,mds,True,findable,0,0,0,0,0,2023-05-25T13:55:43.000Z,2023-05-25T13:55:44.000Z,inist.sshade,mgeg,"laboratory measurement,confocal reflection,micro-imaging,FIR,Far-Infrared,normalized reflectance,matrix Alais,chondrules Alais,CAIs Alais,matrix TagishLake,chondrules TagishLake,CAIs Tagish Lake,matrix Mighei,chondrules Mighei,CAIs Mighei,matrix Allende,chondrules Allende,CAIs Allende,matrix LancÃ©,chondrules LancÃ©,CAIs LancÃ©,matrix FRO95002,chondrules FRO95002,CAIs FRO95002,extraterrestrial,complex organic-mineral mix,complex mineral mix,carbonaceous chondrite,CI,ungrouped,CM,CV,CO","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'confocal reflection', 'subjectScheme': 'main'}, {'subject': 'micro-imaging', 'subjectScheme': 'main'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'Far-Infrared', 'subjectScheme': 'variables'}, {'subject': 'normalized reflectance', 'subjectScheme': 'variables'}, {'subject': 'matrix Alais', 'subjectScheme': 'name'}, {'subject': 'chondrules Alais', 'subjectScheme': 'name'}, {'subject': 'CAIs Alais', 'subjectScheme': 'name'}, {'subject': 'matrix TagishLake', 'subjectScheme': 'name'}, {'subject': 'chondrules TagishLake', 'subjectScheme': 'name'}, {'subject': 'CAIs Tagish Lake', 'subjectScheme': 'name'}, {'subject': 'matrix Mighei', 'subjectScheme': 'name'}, {'subject': 'chondrules Mighei', 'subjectScheme': 'name'}, {'subject': 'CAIs Mighei', 'subjectScheme': 'name'}, {'subject': 'matrix Allende', 'subjectScheme': 'name'}, {'subject': 'chondrules Allende', 'subjectScheme': 'name'}, {'subject': 'CAIs Allende', 'subjectScheme': 'name'}, {'subject': 'matrix LancÃ©', 'subjectScheme': 'name'}, {'subject': 'chondrules LancÃ©', 'subjectScheme': 'name'}, {'subject': 'CAIs LancÃ©', 'subjectScheme': 'name'}, {'subject': 'matrix FRO95002', 'subjectScheme': 'name'}, {'subject': 'chondrules FRO95002', 'subjectScheme': 'name'}, {'subject': 'CAIs FRO95002', 'subjectScheme': 'name'}, {'subject': 'extraterrestrial', 'subjectScheme': 'family'}, {'subject': 'complex organic-mineral mix', 'subjectScheme': 'compound type'}, {'subject': 'complex mineral mix', 'subjectScheme': 'compound type'}, {'subject': 'carbonaceous chondrite', 'subjectScheme': 'meteorite group'}, {'subject': 'CI', 'subjectScheme': 'meteorite class'}, {'subject': 'ungrouped', 'subjectScheme': 'meteorite class'}, {'subject': 'CM', 'subjectScheme': 'meteorite class'}, {'subject': 'CV', 'subjectScheme': 'meteorite class'}, {'subject': 'CO', 'subjectScheme': 'meteorite class'}]",['12 spectra'],['ASCII']
-10.26302/sshade/experiment_ak_20141108_1,Mid-infrared attenuated total reflectance experiment with K+ exchanged less 1 Î¼m size fraction of montmorillonite (SCa-3) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:13:08.000Z,2022-11-04T08:13:09.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,K-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'K-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['5 spectra'],['ASCII']
-10.26302/sshade/experiment_ml_20171219_003,Zr K edge XAS fluorescence of synthetic zircon ZrSiO4 at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:17:33.000Z,2019-12-05T14:17:33.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,nesosilicate,Synthetic zircon,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'nesosilicate'}, {'subject': 'Synthetic zircon'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.17178/emaa_hcn_hyperfine_73e9d7ef,Hyperfine excitation of HCN by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 45 radiative transitions / 290 collisional transitions for electron (12 temperatures in the range 10-1000K) / 300 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:02.000Z,2021-11-17T14:01:03.000Z,inist.osug,jbru,"target HCN,excitationType Hyperfine,collisional excitation,collider.0 electron,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.5554849,CSF18,Zenodo,2018,fr,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>CSF18 - Multimodal database of French Cued-speech (revised in 2022)</strong> Dataset used in ""Visual recognition of continuous Cued Speech using a tandem CNN-HMM approach"", by Liu, Hueber, Feng, Beautemps (submitted to Interspeech 2018) 476 sentences (i.e. 2 repetitions of 238 sentences) uttered by a professional French Cued-speech coder video/ PNG images, 576x720, 50fps (after deinterleave) audio/ WAV, 16kHz, 16bits prompt.txt: Text prompt of the recorded sentences corpus_mlf.txt: Phonetic transcription aligned on the audio signal (HTK format, Master Label File) obtained using the LiaPhon phonetizer and a forced-alignment HMM-based procedure (no manual check) corpus_mlf_updated_icassp2022.txt: Manually checked/cleaned version of corpus_mlf.txt (see Sankar et al., ICASSP 2022 paper) phonelist.txt: list of the 34 labels used to encode French phonemes at GIPSA-lab.",mds,True,findable,0,0,0,0,0,2022-05-13T14:50:52.000Z,2022-05-13T14:50:53.000Z,cern.zenodo,cern,"cued-speech, langue parlÃ©e complÃ©tÃ©e, LPC, recognition, multimodal, audiovisual, hand, sign language","[{'subject': 'cued-speech, langue parlÃ©e complÃ©tÃ©e, LPC, recognition, multimodal, audiovisual, hand, sign language'}]",,
-10.5281/zenodo.3454628,Bead tracking experimental ground truth for studying size segregation in bedload sediment transport,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Video sequences to study size segregation in bedload transport were recorded. Experiments consisted in mixtures of two-size spherical glass beads entrained by a turbulent supercritical free surface water flow over a mobile bed. The aim is to track all beads over time to obtain trajectories, particle velocities and concentrations, for studying bedload granular rheology, size segregation and associated morphology. This upload consists in : a 1000-frame experimental image sequence recorded at 130 fps with approximately 400 beads per frame (about 300 coarse and 100 small beads). The image resolution is 1280x320; the ground truth in the directory \result . It was obtained based on a tracking algorithm with subsequent expert modification. The tracking algorithm was developed by H. Lafaye de Micheaux et al. The code implementing the tracking algorithm is available on https://github.com/hugolafaye/BeadTracking. The ground truth is a '.mat' file containing in particular the variable 'trackData' being a cell array of tracking matrices. There is one tracking matrix for each image of the sequence. Complete information on data format is given in the file readme.txt in the github BeadTracking package. In addition it contains three files allowing the user to run the BeadTracking package specifically on the experimental sequence : sequence_param.txt : parameter file sequence_base_mask.tif : to remove the base template_transparent_bead_rOut10_rIn6.mat : a template for bead detection",mds,True,findable,1,0,0,0,0,2019-09-30T11:53:18.000Z,2019-09-30T11:53:19.000Z,cern.zenodo,cern,"sediment transport,bedload transport,segregation,two-phase flow,particle tracking,granular flow,Multiple targets tracking Â·","[{'subject': 'sediment transport'}, {'subject': 'bedload transport'}, {'subject': 'segregation'}, {'subject': 'two-phase flow'}, {'subject': 'particle tracking'}, {'subject': 'granular flow'}, {'subject': 'Multiple targets tracking Â·'}]",,
-10.17178/emaa_hcn_rotation_a4d98833,"Rotation excitation of HCN by He, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 36 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for He (25 temperatures in the range 5-500K) / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:04.000Z,2021-11-17T14:01:05.000Z,inist.osug,jbru,"target HCN,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 He,collider.2 para-H2,collider.3 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_gl_20150103_1,Mid-infrared diffuse reflectance experiment with chlorite (clinochlore) heated in-situ from 25 to 860Â°C,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:25:07.000Z,2022-11-04T08:25:08.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,clinochlore,commercial,elemental solid,Synthetic diamond powder,laboratory measurement,diffuse reflection,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'clinochlore'}, {'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'Synthetic diamond powder'}, {'subject': 'laboratory measurement'}, {'subject': 'diffuse reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['4 spectra'],['ASCII']
-10.5281/zenodo.10621171,easystats/insight: insight 0.19.8,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"General
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-Removed deprecated arguments in get_data.mmrm().
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-Improved support for models of class rqs (package quantreg).
-
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-Revised test to address forthcoming changes in the pscl package.
-
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-Bug fixes
-
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-Fixed issue in get_loglikelihood() for glm-models with binary outcome, where
-levels were defined in reversed order.
-
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-Fixed issue in find_formula() for models of class glmmPQL (package MASS).
-
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-Fixed issue in find_formula() for models of class gam (package mgcv) for
-the ""gaulss"" family.
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-Fixed issue in get_variance() for glmmTMB models with family = ""ordbeta"".
-
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-
-Fixed issue in model_info() with correctly detecting multivariate vgam/vglm
-models.",api,True,findable,0,0,0,1,0,2024-02-05T19:50:10.000Z,2024-02-05T19:50:10.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7547644,Tarification des services AnaEE France,Zenodo,2023,,Other,"Creative Commons Attribution 4.0 International,Open Access","Guide mÃ©thodologique construit dans le cadre dâ€™une rÃ©flexion collective sur les services AnaEE France nâ€™engageant pas les organismes tutelles de lâ€™infrastructure. Ce document propose une mÃ©thodologie et des principes de tarification pour les services de l'infrastructure nationale AnaEE-France. Nous rappelons que ces services couvrent lâ€™accÃ¨s aux plateformes expÃ©rimentales, la production dâ€™analyses pour caractÃ©riser les Ã©cosystÃ¨mes, la mise Ã  disposition dâ€™instruments et dâ€™Ã©chantillons, et lâ€™accÃ¨s aux plateformes de modÃ©lisation.",mds,True,findable,0,0,0,0,0,2023-01-18T13:23:22.000Z,2023-01-18T13:23:22.000Z,cern.zenodo,cern,"tarification,service,coÃ»t complet,audit","[{'subject': 'tarification'}, {'subject': 'service'}, {'subject': 'coÃ»t complet'}, {'subject': 'audit'}]",,
-10.5281/zenodo.5905877,IC profile analysis V.1.0,Zenodo,2022,,Software,Open Access,"This R script performs a longitudinal analysis on the output of IC (Cavalli et al.,(2013), and its composing parameters according to Torresani et al., (2021). The analysis is performed on exported CSV table containing the IC and the selected parameters extracted along the channel profile. This tool aims to graphically represent the behaviour of the variables at different locations of the analysed channel.",mds,True,findable,0,0,1,0,0,2022-01-26T11:27:45.000Z,2022-01-26T11:27:46.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7871187,"Automated processing of aerial imagery for geohazards monitoring: Results from Fagradalsfjall eruption, SW Iceland, August 2022",Zenodo,2023,en,Dataset,"Non-Commercial Government Licence,Open Access","<strong>1-</strong> <strong>Dataset Summary</strong><br> Here we present a dataset of DEMs (Digital Elevation Models), orthomosaics, and lava area outlines for the August 2022 eruption at Fagradalsfjall, SW Iceland. The dataset consists of: (1) five aerial surveys collected over the course of the August 2022 Fagradalsfjall eruption, (2) one survey carried out on 14 August 2022 using PlÃ©iades satellite stereo images, and (3) a larger aerial survey, covering the 2021 and 2022 eruption sites in late September 2022 after the volcanic activity concluded. <strong>2- Background</strong> The volcano at Fagradalsfjall, SW-Iceland, began erupting on 3 August 2022 at 13:20 following 10 months of quiescence. As part of the response plan, a series of photogrammetric surveys were conducted in rapid, operational mode throughout the duration of the eruption. Subsequent production of data products for natural hazards monitoring (lava maps, lava volumes, effusion rates) were calculated within hours and reported to the Icelandic Civil Defense, following a similar approach that described in Pedersen et al., 2022a and in Gouhier et al., 2022. At the start of the 2022 eruption, GCPs had not yet been placed around the new fissure, but reference data (orthomosaics and DEMs) which had been georeferenced using targets measured with differential GNSS existed of the eruption site from September 2021 from Pedersen et al. (2022b) were available to use as a reference in the new workflow instead of GCPs. Due to the urgent need from authorities for information about the new eruption, a processing method that avoids the time-consuming task of manual GCP selection using a reference image for georeferencing was preferable in this instance. Besides the acquisition of aerial photographs, the CIEST2 initiative was also re-activated to collect PlÃ©iades stereo images in emergency mode (Gouhier et al., 2022). <strong>3 â€“ Overview of data collection</strong> Table 1 contains the overview of the surveys collected and presented in this repository. Table 1. Summary of surveys included in this dataset, by survey date. <strong>Date &amp; Time</strong><br> <strong>YYYYMMDD HH:MM</strong> <strong>Sensor</strong> <strong>Platform</strong> <strong>Flight alt.</strong><br> <strong>(m asl)</strong> <strong>Images</strong> <strong>Surveyed</strong><br> <strong>km<sup>2</sup></strong> 20220803 17:05 A6D TF-203* ~ 850 46 4 20220804 11:00 A6D TF-203 ~ 2100 32 35 20220813 09:00 A6D TF-203 ~ 750 123 9 20220814 13:00 PlÃ©iades PHR1B n/a 2 14 20220815 08:15 A6D TF-203 2100 20 23 20220816 10:06 A6D TF-203 2100 19 26 20220926 12:00 A6D TF-BMW** 2100 ~20 18 * TF-203: Savannah S aircraft ** TF-BMW: Vulcanair P68 Observer 2 aircraft, operated by GarÃ°aflug ehf. <strong>4- Methods</strong> <strong>4.1 Processing of the aerial photographs from 3-16 Aug 2022</strong><br> Throughout the eruption, aerial surveys were conducted using a Hasselblad A6D 100 MP camera with 35 mm focal lens, from a height of 750 â€“ 2,100 m above ground over the active lava field from an ultralight aircraft with a window in the bottom to allow for vertical photos to be taken (see supplement of Pedersen et al., 2022a for details and images of the setup). The camera was manually triggered to give ~70% overlap, and approximate flight lines were prepared beforehand for use with a handheld GPS during the flight to give ~30 % side overlap.<br> <br> An automated processing pipeline was created in python, which leverages tools from the Ames Stereo Pipeline (ASP, Shean et al., 2016) and Agisoft Metashape stand-alone Python API (v. 1.8.4). The processing and georeferencing of the aerial data were done in three steps, with all steps being automated except for the digitization of lava outlines. First, using a very high-resolution reference orthomosaic and DEM created in September 2021 and georeferenced with ground control points (Pedersen et al., 2022b), interest points (IPs) in each image were matched with the reference dataset, using the ASP routine <em>ipfind. </em>This created GCPs for each image over stable terrain. Second, hillshades were created from both the reference DEM and the source dataset DEM and matches in IPs were found in both, creating a second round of ground control points to refine the georeferencing of the entire block. Finally, the alignment of the source DEM was refined using the <em>dem_align</em> (demcoreg) protocol from Shean et al. (2016) by applying a bulk linear shift in X, Y and Z which minimizes the vertical difference in stable terrain between the source and reference DEM. <strong>4.2 Processing of the PlÃ©iades stereo images</strong><br> The PlÃ©iades stereo images were processed using the Ames Stereo Pipeline, using the general workflow of <em>mapproject </em>and <em>parallel_stereo </em>(e.g., Deschamps-Berger et al., 2020). The <em>parallel_stereo </em>routine used default arguments, plus the following arguments: <em>--stereo-algorithm asp_mgm -t rpcmaprpc --corr-seed-mode 3 --corr-max-levels 2 --cost-mode 3 --subpixel-mode 9 --corr-kernel 7 7 --subpixel-kernel 15 15</em> We used the DEM from 4 Aug 2022 as the reference for <em>mapproject </em>and for the final DEM co-registration applied to the produced PlÃ©iades DEM. <strong>4.3 Processing of the 26 September 2022 dataset</strong><br> The survey from 26 September 2022 was collected and processed using direct georeferencing from an on-board GPS antenna. The final alignment of the block was refined using the dem_align (demcoreg) protocol from Shean et al. (2016) by applying a bulk linear shift in X, Y and Z which minimizes the vertical difference in stable terrain between the source and reference DEM. Because this survey covered a much larger area, the reference DEM for the final coregistration was the ÃslandsDEM v.1.0 (LandmÃ¦lingar Ãslands, 2022). <strong>4.4. Maps of the lava outlines, lava thickness, lava volume, Time Average Effusion Rate (TADR)</strong><br> For each survey, a differential DEM (dDEM) showing elevation changes since the 2021 eruption was created by subtracting the reference DEM (ÃslandsDEM v.1.0, which includes the post-eruption DEM from Pedersen et al., 2022a) from the source DEM. Lava outlines, lava thickness lava volume, TADR and uncertainties were calculated using the methods described in Pedersen et al., 2022a. Table 2 summarizes calculations from this dataset. Table 2. Summary of survey results calculated from August 2022 Fagradalsfjall eruption DEMs and orthomosaics. <strong> Date Start</strong> <strong>Date End</strong> <strong>Time </strong> <strong>Difference</strong> <strong>Lava </strong> <strong>Area<sup>*</sup> End </strong> <strong>(km<sup>2</sup>)</strong> <strong>dh<sup>**</sup> </strong> <strong>(m)</strong> <strong>Volume<sup>+</sup></strong> <strong>End<br> (1e+6 m<sup>3</sup>)</strong> <strong>TADR<sup>++</sup><br> (m<sup>3</sup>/s)</strong> 20220803<br> 13:20 20220803<br> 17:05 0d 03h 45m 0.07 5.88 0.43 Â± 0.03 32.1 Â± 1.5 20220803<br> 17:05 20220804<br> 11:00 0d 21h 40m 0.14 11.13 1.57 Â± 0.05 17.7 Â± 0.8 20220804<br> 11:00 20220813<br> 09:00 8d 22h 00m 1.27<sup>#</sup> 6.90 10.33 Â± 0.6 11.4 Â± 0.7 20220813<br> 13:08 20220814<br> 13:00 0d 23h 52m 1.24 7.28 10.62 Â± 0.70 2.8 Â± 0.8 20220814<br> 13:00 20220815<br> 08:15 0d 19h 15m 1.26 7.46 10.99 Â± 0.55 4.1 Â± 0.8 20220815<br> 08:15 20220816<br> 10:16 1d 2h 01m 1.28 7.49 11.13 Â± 0.53 2.0 Â± 0.7 20220816<br> 10:16 20220821<br> 06:00<sup>##</sup> 4d 19h 44m 1.28 7.69 11.39 Â± 0.44 0.653 Â± 0.10 <sup>*</sup>Total area of the lava field since 2022-08-03 before activity started. <sup>**</sup>dh end is the mean thickness of the lava flow-field in the end of the given period. <sup>+</sup>Volume erupted since 2022-08-03 before activity started. <sup>++</sup>Time-averaged discharge rate for the given period <sup>#</sup>Extrapolated value. Survey does not cover entire active lava area. <sup>##</sup>End Time: 21 August 2022, 6:00. This time deduced from field observations from members of the Institute of Earth Sciences, University of Iceland. Values calculated from 26 September 2022 dataset. Figures and visual summaries of the processing method, resulting lava volumes, and uncertainties can be found in this poster: Fagradalsfjall August 2022.<br> <br> Orthomosaics from this dataset are viewable online at: https://atlas.lmi.is/mapview/?application=umbrotasja <strong>Data naming conventions:</strong> Data type: DEM, ortho, outline, diffDEM, lavafree, lava Acquisition date: YYYYMMDD_HHMM Platform/Sensor for data collection: PlÃ©iades (PLE), Hasselblad A6D from aircraft (A6D) Resolution: 2x2 m (DEMs) and 30x30 cm (Orthomosaics) Folders (by survey): YYYYMMDD_HHMM_platform (during eruption) or 'posteruption'_platform (sensors/platform: A6D or PLE) <strong>Data Specifications:</strong> Cartographic projection: ISN93 / Lambert 1993 (EPSG:3057, https://epsg.io/3057) Origin of Elevation: meters above GRS80 ellipsoid (WGS84) Raster data format: GeoTIFF Raster compression system: ZSTD (http://facebook.github.io/zstd/) Vector data format: GeoPackage (https://www.geopackage.org/) PlÃ©iades dataset includes only DEMs because the PlÃ©iades ortho imagery is for licensed use only. Please contact the authors for further information on this.",mds,True,findable,0,0,0,0,0,2023-04-27T15:11:57.000Z,2023-04-27T15:11:57.000Z,cern.zenodo,cern,"Photogrammetry,Iceland,Remote Sensing,Volcano Monitoring,DEM,Orthomosaic,PlÃ©iades","[{'subject': 'Photogrammetry'}, {'subject': 'Iceland'}, {'subject': 'Remote Sensing'}, {'subject': 'Volcano Monitoring'}, {'subject': 'DEM'}, {'subject': 'Orthomosaic'}, {'subject': 'PlÃ©iades'}]",,
-10.6084/m9.figshare.22620895,Additional file 1 of Critically ill severe hypothyroidism: a retrospective multicenter cohort study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Figure S1. Flowchart of patient selection from participating ICUs. Table S1. Amount of Missing Data for Each Variable Included in the Analysis. Table S2. Characteristics of Severe Hypothyroidism Patients According to the Presence of a Circulatory Failure at ICU Admission. Table S3. Clinical and Biological Features at ICU Admission according to ICU survival. Table S4. Predictive Patient Factors Associated with 6-month Mortality in Critically ill Adults with Severe Hypothyroidism.,mds,True,findable,0,0,31,1,0,2023-04-13T14:55:40.000Z,2023-04-13T14:55:40.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Pharmacology,Immunology,FOS: Clinical medicine,Cancer","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}]",['96335 Bytes'],
-10.5281/zenodo.5718043,GazeEEGSynchro,Zenodo,2021,,Software,"Creative Commons Attribution 4.0 International,Open Access",The GazeEegSynchro software runs under DOS. It allows to synchronize data coming from Eyelink ASC data files and Brainamp EEG+VHDR+VMRK data files. The synchronization process is based on piecewise linear alignments of shared triggers in both acquisition devices. <strong>A gitlab project is also available.</strong>,mds,True,findable,0,0,0,0,0,2021-11-22T10:33:25.000Z,2021-11-22T10:33:26.000Z,cern.zenodo,cern,"EEG,co-registration,synchronization,clock-drift,drift correction,eye movements","[{'subject': 'EEG'}, {'subject': 'co-registration'}, {'subject': 'synchronization'}, {'subject': 'clock-drift'}, {'subject': 'drift correction'}, {'subject': 'eye movements'}]",,
-10.6084/m9.figshare.21285659,Additional file 1 of Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screening,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 1. A document containing supplementary materials.,mds,True,findable,0,0,0,0,0,2022-10-06T07:36:16.000Z,2022-10-06T07:36:16.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Pharmacology,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,80699 Information Systems not elsewhere classified,FOS: Computer and information sciences,19999 Mathematical Sciences not elsewhere classified,FOS: Mathematics,Cancer","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '80699 Information Systems not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '19999 Mathematical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}]",['112261 Bytes'],
-10.26302/sshade/experiment_cl_20180316_02,MIR reflectance spectrum of a QUE97990 CM chondrite pellet,SSHADE/DAYSY (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Average MIR reflectance spectrum of a pellet of QUE97990 CM chondrite, obtained by hyperspectral imaging",mds,True,findable,0,0,0,0,0,2022-06-01T21:24:24.000Z,2022-06-01T21:24:24.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix QUE97990,complex mineral mix,chondrules QUE97990,CAIs QUE97990,laboratory measurement,confocal reflection,micro-imaging,MIR,Mid-Infrared,normalized reflectance","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix QUE97990'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules QUE97990'}, {'subject': 'CAIs QUE97990'}, {'subject': 'laboratory measurement'}, {'subject': 'confocal reflection'}, {'subject': 'micro-imaging'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'normalized reflectance'}]",['1 spectrum'],['ASCII']
-10.34847/nkl.748eqz51,"Dans le lit de la Romanche. ItinÃ©raire de GisÃ¨le, le 24 mai 2019, Livet",NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,Other,,"ItinÃ©raire rÃ©alisÃ© dans le cadre du projet de recherche-crÃ©ation Les Ondes de lâ€™Eau : MÃ©moires des lieux et du travail dans la vallÃ©e de la Romanche. AAU-CRESSON (Laure Brayer, direction scientifique) - Regards des Lieux (Laure NicoladzÃ©, direction culturelle). 
-
-Depuis plus de 65 ans, GisÃ¨le et son mari se sont installÃ©s ici, faÃ§onnant peu Ã  peu ce petit coin de paradis. Chaque Ã©tÃ©, le temps des grandes vacances, le gigantesque jardin qui mÃ¨ne Ã  la Romanche se transforme en terrain dâ€™aventures. Le long de chemins escarpÃ©s, dans des sous- bois jonchÃ©s de branches, Ã©cartant les feuilles et enjambant les sources, nous sommes allÃ©es explorer les abords de cette riviÃ¨re au lit changeant.",api,True,findable,0,0,0,0,0,2022-06-27T12:23:16.000Z,2022-06-27T12:23:16.000Z,inist.humanum,jbru,"Histoires de vie,paysage de l'eau,histoire orale,Marche,Sens et sensations,MÃ©moires des lieux,Perception sensible,mÃ©thode des itinÃ©raires,environnement sonore,forÃªt,Romanche, VallÃ©e de la (France),plantes sauvages,Ã©nergie hydraulique,perception de l'espace,loisirs de plein air,jardinage,dÃ©chets,roman-photo,itinÃ©raire,matÃ©riaux de terrain Ã©ditorialisÃ©s","[{'lang': 'fr', 'subject': 'Histoires de vie'}, {'lang': 'fr', 'subject': ""paysage de l'eau""}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'Marche'}, {'lang': 'fr', 'subject': 'Sens et sensations'}, {'lang': 'fr', 'subject': 'MÃ©moires des lieux'}, {'lang': 'fr', 'subject': 'Perception sensible'}, {'lang': 'fr', 'subject': 'mÃ©thode des itinÃ©raires'}, {'lang': 'fr', 'subject': 'environnement sonore'}, {'lang': 'fr', 'subject': 'forÃªt'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e de la (France)'}, {'lang': 'fr', 'subject': 'plantes sauvages'}, {'lang': 'fr', 'subject': 'Ã©nergie hydraulique'}, {'lang': 'fr', 'subject': ""perception de l'espace""}, {'lang': 'fr', 'subject': 'loisirs de plein air'}, {'lang': 'fr', 'subject': 'jardinage'}, {'lang': 'fr', 'subject': 'dÃ©chets'}, {'lang': 'fr', 'subject': 'roman-photo'}, {'lang': 'fr', 'subject': 'itinÃ©raire'}, {'lang': 'fr', 'subject': 'matÃ©riaux de terrain Ã©ditorialisÃ©s'}]","['19452166 Bytes', '955583 Bytes', '109809 Bytes', '315230 Bytes', '2014325 Bytes', '1762645 Bytes', '1586399 Bytes', '1523364 Bytes', '1930760 Bytes', '2358648 Bytes', '1819325 Bytes', '2114235 Bytes', '2202343 Bytes', '2182986 Bytes', '1875598 Bytes', '1911973 Bytes']","['application/pdf', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg']"
-10.5281/zenodo.7119220,"FIGURE 1 in A new species, Bulbophyllum phanquyetii and a new national record of B. tianguii (Orchidaceae) from the limestone area of northern Vietnam",Zenodo,2022,,Image,Open Access,"FIGURE 1. Bulbophyllum phanquyetii Vuong, Aver. &amp; V.S.Dang. A. Flowering plant. B. Pseudobulbs and pseudobulb bracts. C. Leaf apex. D. Floral bract, adaxial and abaxial side. E. Inflorescences. F. Flowers, side view. G. Pedicel, ovary and flower, side view. H. Flower, back view. I. Median sepal, adaxial and abaxial surface with magnified surface near the margin. J. Lateral sepal, adaxial and abaxial surface with magnified surface near the margin. K. Petal, adaxial and abaxial surface with magnified surface near the margin. L. Lip, views from different sides. M. Column and lip, side view. N. Pedicel, ovary and column, side view. O. Column apex, views from different sides. P. Anther cap, frontal view and view from back. Q. Pollinaria. Photos by Truong Ba Vuong (type specimen), design by Truong Ba Vuong, L. Averyanov, and T. Maisak.",mds,True,findable,0,0,0,3,0,2022-09-28T12:11:53.000Z,2022-09-28T12:11:53.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Plantae,Tracheophyta,Liliopsida,Asparagales,Orchidaceae,Bulbophyllum","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Plantae'}, {'subject': 'Tracheophyta'}, {'subject': 'Liliopsida'}, {'subject': 'Asparagales'}, {'subject': 'Orchidaceae'}, {'subject': 'Bulbophyllum'}]",,
-10.6084/m9.figshare.12926231,Additional file 1 of Expert consensus-based clinical practice guidelines management of intravascular catheters in the intensive care unit,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Pediatrics R1 Chlorhexidine-alcohol disinfection. Pediatrics R2 and R4 US and site of insertion. Pediatrics R3 radial vs. femoral artery access. Pediatrics R5 impregnated impregnated CVCs. Pediadrics R6 heparin bonded CVCs. Pediatrics R7 continuous quality improvement program. Pediatrics R8 CHG dressings CVCs and arterial catheters. Adults and pediatrics Prevention R 1-1 and 1-2 subclavian vs. Internal jugular vs. femoral. R 1-3 alc-CHG vs. alc-PVI. R 1-4 1 step vs. 4 steps desinfections. R 1-5 antiseptic and antibiotic impregnated catheters. R1-6 heparin bonded CVCs. R 1-7 CHG dressings vs. transparent dressings. R 1-8 dressing change frequencies. R 1-9 R1-10 R 1-11 R1-12 US and site of insertion. Surveillance R 2.1 R2.2 surveillance network. R 2-2 quality improvement program. R2-3 culture of catheters Catheter related infection R3-1 R3-4 blood culture. R3-2 R3-3a R3-3b persistent bacteraemia : R 3-5 R3-6 R3-7 R3-9 R3-15 Catheter removed. R3-8 R3-10 R3-12 R3-13 duration of antibiotics. R3-11 antifungal therapy R3-14 antibiotic therapy.,mds,True,findable,0,0,2,1,0,2020-09-08T03:48:23.000Z,2020-09-08T03:48:24.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Environmental Sciences not elsewhere classified,Biological Sciences not elsewhere classified,Marine Biology,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Marine Biology'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['427118 Bytes'],
-10.5281/zenodo.6406158,"Data: Clouds drive differences in future surface melt over the Antarctic ice shelves (Kittel et al., 2022)",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Outputs used in: <em>Kittel, C., Amory, C., Hofer, S., Agosta, C., Jourdain, N. C., Gilbert, E., Le Toumelin, L., GallÃ©e, H., and Fettweis, X.: Clouds drive differences in future surface melt over the Antarctic ice shelves, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2021-263, accepted, 2021.</em> MAR outputs with summer values of melt, surface energy budget components, and cloud properties over the Antarctic ice sheet (1980--2100) Grid file used in MAR simulations If you need other variables or output frequencies from MAR, write me (c2kittel@gmail.com) and I will be glad to help you. I will also be happy to share the scripts I have developed to analyse the outputs and make the figures in this paper if needed. Please cite the paper if you use these MAR outputs.<br> <br> Data usage notice: If you use any of these results, please acknowledge the work of the people involved in producing them. Acknowledgements should have language similar to the below that contained both informations related to MAR. In order to document MAR scientific impact and enable ongoing support of the model, users are likely encouraged to contact C. Kittel to add their works in the list of MAR-related publications. ""We thank C. Kittel and the MAR team which make available the model outputs, as well agencies (F.R.S - FNRS, CÃ‰CI, and the Walloon Region) that provided computational resources for MAR simulations. "" You should also refer to and cite the following paper: <em>Kittel, C., Amory, C., Hofer, S., Agosta, C., Jourdain, N. C., Gilbert, E., Le Toumelin, L., GallÃ©e, H., and Fettweis, X.: Clouds drive differences in future surface melt over the Antarctic ice shelves, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2021-263, accepted, 2021.</em>",mds,True,findable,0,0,0,0,0,2022-05-30T07:54:28.000Z,2022-05-30T07:54:28.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_cc_20190501_02,VNIR reflectance spectra of Magnesium chloride hexahydrate with 3 different grain sizes and at variable temperature (80-295 K),SSHADE/REFL_SLAB+CSS (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR (0.5-4.7 Âµm) reflectance spectra of Magnesium chloride Hexahydrate with three different grain sizes (0-250, 250-500 and 500-800 Âµm) acquired at 12 temperatures between 80K and 295K",mds,True,findable,0,0,0,0,0,2021-10-27T11:29:39.000Z,2021-10-27T11:29:40.000Z,inist.sshade,mgeg,"solid,commercial,chloride,MgCl2-6H2O (hexahydraite Magnesium Chloride),laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'chloride'}, {'subject': 'MgCl2-6H2O (hexahydraite Magnesium Chloride)'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['39 spectra'],['ASCII']
-10.17178/emaa_a-ch3(18o)h_rotation_c65648f1,Rotation excitation of A-CH3[18O]H by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 rotation energy levels / 73 radiative transitions / 291 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 300 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:32.000Z,2023-12-07T15:50:32.000Z,inist.osug,jbru,"target A-CH3[18O]H,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target A-CH3[18O]H', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.7762439,"FIGURE 2. Bulbophyllum anderosonii. A. Flattened flowering plant. B. Leaf apex. C in Bulbophyllum sondangii (Orchidaceae), a new species from Da Lat Plateau, southern Vietnam",Zenodo,2023,,Image,Open Access,"FIGURE 2. Bulbophyllum anderosonii. A. Flattened flowering plant. B. Leaf apex. C. Apical portion of inflorescence, view from above and from below. D. Floral bract, adaxial and abaxial side. E. Flower, view from above, from below, and side view. F. Median sepal, abaxial and adaxial side. G. Apex of median sepal. H. Lateral sepal, view from above and from below. I. Petal, abaxial and adaxial side. J. Petal margin. K. Lip, views from different sides. L. Pedicel, ovary and column, with petal and with petals removed, side view. M, N. Apex of column, side and frontal view. O. Anther cap, view from above and from below. P. Pollinia. All photos by Truong Ba Vuong, made from the specimens BV 1671, photo correction and design by L. Averyanov and T. Maisak.",mds,True,findable,0,0,0,3,0,2023-03-23T07:56:22.000Z,2023-03-23T07:56:23.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Plantae,Tracheophyta,Liliopsida,Asparagales,Orchidaceae,Bulbophyllum","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Plantae'}, {'subject': 'Tracheophyta'}, {'subject': 'Liliopsida'}, {'subject': 'Asparagales'}, {'subject': 'Orchidaceae'}, {'subject': 'Bulbophyllum'}]",,
-10.26302/sshade/experiment_bs_20130120_004,Mid-IR optical constants of amorpous H2O Ia at 15K and crystalline H2O Ih at 60K,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Mid-IR optical constants spectrum of amorpous H2O Ia at 15K and crystalline H2O Ih at 60K,mds,True,findable,0,0,0,0,0,2020-01-03T07:17:17.000Z,2020-01-03T07:17:18.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,H2O amorphous - phase Ia,H2O crystalline - phase Ih,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O amorphous - phase Ia'}, {'subject': 'H2O crystalline - phase Ih'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'optical constants'}]",['2 spectra'],['ASCII']
-10.5281/zenodo.3871493,Raw diffraction data for [NiFeSe] hydrogenase pressurized with Kr gas - dataset wtKr1,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID30A-3 on September 27, 2017.",mds,True,findable,0,0,0,0,0,2020-06-01T10:31:49.000Z,2020-06-01T10:31:51.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
-10.5281/zenodo.8101891,"Data and code for publication ""The stability of present-day Antarctic grounding lines - Part B""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data and code for the publication ""The stability of present-day Antarctic grounding lines â€“ Part B: Onset of irreversible retreat of Amundsen Sea glaciers under current climate on centennial timescales cannot be excluded"" in The Cryosphere. Zip files contain data, python notebooks for analysis and PISM code. Please contact ronja.reese@northumbria.ac.uk if you have any further questions.",mds,True,findable,0,0,0,2,0,2023-07-03T17:51:58.000Z,2023-07-03T17:51:58.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6822165,Repeating low frequency icequakes in the Mont-Blanc massif,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",This dataset provides catalogs of low-frequency icequakes detected in the Mont-Blanc massif (Alps) between 2017 and 2022.,mds,True,findable,0,0,0,0,0,2022-07-12T13:30:52.000Z,2022-07-12T13:30:53.000Z,cern.zenodo,cern,icequakes glaciers seismology repeaters,[{'subject': 'icequakes glaciers seismology repeaters'}],,
-10.5281/zenodo.10652456,TDP-43 motifs in the GISAID Database v1.0.0-alpha,Zenodo,2024,,Software,MIT License,"TDP-43 motifs in the GISAID Database - Version v1.0.0-alpha
-
-This repository contains Python scripts that automate the process of downloading, merging, and processing data from the GISAID website. The scripts are organized into two directories: `GISAID-crawler` and `TDP-43`, each with its own README file detailing the specific operations performed by the scripts within.
-
-Details
-
-Please refer to each script code Â to install the appropriate packages via pip3. The scripts are run using Python 3.10.0. Be situated on each working directory to execute the script. Refer to each README file for more information.
-
-Disclaimer: in order to access the information in the GISAID database you must have your own access by creating a username and being given a password. In these scripts, I did not include any data contained in the database, in accordance with the GISAID terms and conditions. This data has not been shared to anyone nor cross-examined with any other influenza database. A separate table acknowledging all sources of the original data will be added.
-
-License
-
-This software is released under the MIT License.Â 
-
-Acknowledgments
-
-Freunde von GISAID and all the researchers that deposited their sequences in their database. Nadia Naffakh for the cannonical sequences max and min sizes and discussion. Darren Hart for discussion.",api,True,findable,0,0,0,1,0,2024-02-13T01:00:52.000Z,2024-02-13T01:00:52.000Z,cern.zenodo,cern,"influenza,TDP-43,GISAID","[{'subject': 'influenza'}, {'subject': 'TDP-43'}, {'subject': 'GISAID'}]",,
-10.5281/zenodo.10341149,Chamois-CompCert with security features described in Monniaux / CPP 2024,Zenodo,2023,en,Software,INRIA Non-Commercial License Agreement,,api,True,findable,0,0,0,0,0,2023-12-10T18:08:43.000Z,2023-12-10T18:08:43.000Z,cern.zenodo,cern,"formally-verified compiler,Coq,software security,canaries,pointer authentication,CompCert,buffer overflow,tail-recursion elimination,compiler optimizations","[{'subject': 'formally-verified compiler'}, {'subject': 'Coq'}, {'subject': 'software security'}, {'subject': 'canaries'}, {'subject': 'pointer authentication'}, {'subject': 'CompCert'}, {'subject': 'buffer overflow'}, {'subject': 'tail-recursion elimination'}, {'subject': 'compiler optimizations'}]",,
-10.26302/sshade/bandlist_abs_c2h2_am-c2h2,Absorption band list of C2H2 in natural solid C2H2 (amorphous phase),SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",NIR-MIR absorption band list of $C_2H_2$ in natural solid $C_2H_2$ (amorphous phase) at 15 and 40 K,mds,True,findable,0,0,0,0,0,2023-05-06T19:34:09.000Z,2023-05-06T19:34:10.000Z,inist.sshade,mgeg,"natural C2H2 - amorphous,Ethyne,amorphous Acetylene ice,amorphous C2H2,Ethyne,74-86-2,C2H2,non polar molecular solid,molecular solids with apolar molecules,organic molecular solid,absorption,MIR,NIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural C2H2 - amorphous', 'subjectScheme': 'name'}, {'subject': 'Ethyne', 'subjectScheme': 'name'}, {'subject': 'amorphous Acetylene ice', 'subjectScheme': 'name'}, {'subject': 'amorphous C2H2', 'subjectScheme': 'name'}, {'subject': 'Ethyne', 'subjectScheme': 'IUPAC name'}, {'subject': '74-86-2', 'subjectScheme': 'CAS number'}, {'subject': 'C2H2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5281/zenodo.7755633,Python package for icequakes inversions,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Open Access","This package was used to process seismic data recorded on sea ice in Svalbard (Norway), in March 2019. The inversion determines the position of the icequake source and sea ice thickness. More details in: Moreau et al, Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring, The Cryosphere (2023): https://doi.org/10.5194/tc-2022-212",mds,True,findable,0,0,0,0,0,2023-03-21T09:36:31.000Z,2023-03-21T09:36:31.000Z,cern.zenodo,cern,"icequake inversion, sea ice","[{'subject': 'icequake inversion, sea ice'}]",,
-10.6084/m9.figshare.7017137.v2,Numerical simulations of a fluid sphere undergoing precession,figshare,2019,,Dataset,Creative Commons Attribution 4.0 International,"We provide a dataset of numerical simulation of fluid flow in precessing spheres.Some include magnetic field to asses whether the flows are dynamos or not.The dataset includes the simulations from papers linked in refereces below. Please also cite them if you use this dataset.<br>We cover a wide range of the parameter space, pushing towards planetary values to the limits of current super-computer capabilities.<br>We include a python notebook (jupyter) to work with the dataset.<br><b>WARNING: </b>the first<b> </b>version of this database had some errors and inconsistencies. Please use the more recent revision.<br><b></b><br>",mds,True,findable,0,0,0,0,0,2019-01-29T14:10:51.000Z,2019-01-29T14:10:52.000Z,figshare.ars,otjm,"Planetary Science,40403 Geophysical Fluid Dynamics,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences,91501 Computational Fluid Dynamics,FOS: Other engineering and technologies,FOS: Other engineering and technologies,40406 Magnetism and Palaeomagnetism","[{'subject': 'Planetary Science'}, {'subject': '40403 Geophysical Fluid Dynamics', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '91501 Computational Fluid Dynamics', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Other engineering and technologies', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Other engineering and technologies', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '40406 Magnetism and Palaeomagnetism', 'subjectScheme': 'FOR'}]",['447069 Bytes'],
-10.15778/resif.nd,The New Caledonian Seismic Network,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2009,en,Other,"Open Access,Creative Commons Attribution 4.0 International","T he New Caledonian seismic network is made up of seven realtime broadband and accelerometric stations spread across New Caledonia, particularly in seismically active areas, ie the southern mainland and Loyalty Islands. The network was set up under Grant Agreement 9 PTO REG 14/1 provided by the European Union through the European Development Fund (9th EDF) running from 1 January 2009 to 31 December 2011.",mds,True,findable,0,0,0,1,0,2015-06-22T14:56:42.000Z,2015-06-22T14:56:42.000Z,inist.resif,vcob,"Broadband,Accelerometric,New Caledonia","[{'subject': 'Broadband'}, {'subject': 'Accelerometric'}, {'subject': 'New Caledonia'}]","['7 stations, 150 - 250 Gb per year']","['Miniseed data', 'stationXML metadata']"
-10.26302/sshade/experiment_dm_20131017_001,"NIR reflectance spectra of mixtures of AMES tholins with liquid and solid CH4, C2H6 and CH3CN at several temperatures",SSHADE/SOSYPOL (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR reflectance spectra of AMES tholins (from 90% N2:10% CH4) pure and mixed with different liquids and solids (CH4, C2H6 and CH3CN+C2N6) at temperatures from ambient to 88 K. Spectra were recorded upon cooling while the liquid was progressively added. Freezing occured at some point.",mds,True,findable,0,0,0,0,0,2020-02-13T12:08:20.000Z,2020-02-13T12:08:21.000Z,inist.sshade,mgeg,"carbonaceous,laboratory,complex macromolecular mixture,Tholins AMES 90%N2:10%CH4,commercial,liquid,pure liquid CH4,Liquid C2H6,Liquid CH3CN,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'carbonaceous'}, {'subject': 'laboratory'}, {'subject': 'complex macromolecular mixture'}, {'subject': 'Tholins AMES 90%N2:10%CH4'}, {'subject': 'commercial'}, {'subject': 'liquid'}, {'subject': 'pure liquid CH4'}, {'subject': 'Liquid C2H6'}, {'subject': 'Liquid CH3CN'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['24 spectra'],['ASCII']
-10.5281/zenodo.7667342,Host symbiont gene reconciliation supplementary material,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Cinara aphids dataset was obtained from the data of article by Manzano-Marin et al. ISME, 2019, and we chose a representative subset of the species present in the gene trees. We used an exterior source for the phylogeny for the enterobacteria present in the gene trees using Annotree (Mendler et al., Nucleic Acids Research, 2019) (for the one that are not associated to Cinara aphids, and are thus ""free living"" in this setting). Helicobacter pylori dataset was constructed by Alexia Nguyen Trung, gathering available whole genome sequences on NCBI with assigned geo populations on NCBI or pubMLST. <br> A phylogenetic tree was built based on the concatenation of universal-unicopy genes (322 genes), and a sample of 113 strains representing the diversity of H. pylori in the old world (excluding strains from the Americas) was obtained using Treemmer (Menardo et al, BMC Bioinformatics, 2018).<br> Then, 6 non pylori strains were added (H. hepaticus, H. acinonychis, H. canadensis, H felis, H. bizzozeronii, H. cetorum), as an external group. <br> In this study we considered the 1034 gene families, including 322 universal unicopy family, which displayed strains from the external group and from at least 3 continents.<br> The taleoutput repository contains the recphyloxml outputs of the methods used in the paper, am stands for the approach with amalgamation of the universal unicopy genes to construct a strain tree, while nc refers to the results with the tree constructed from the concatenate, and then the repositories refer to the putative population trees 1, 2, 3 and 4. 0u_0 is the strains genes reconciliation in recphyloxml format. 0upper is the host strains reconciliation in recphyloxml format. Finally, the last repository contains the simulated dataset. It was generated using Sagephy https://compbio.engr.uconn.edu/software/sagephy/ https://doi.org/10.1093/bioinformatics/btz081<br> For each instance, a host tree, a symbiont tree, and 5 gene trees were generated. We used the parameters proposed in https://doi.org/10.1145/3307339.3342168 \cite{kordi_inferring_2019}, as representative of small (D 0.133, T 0.266, L 0.266), medium (D 0.3, T 0.6, L 0.6) and high (D 0.6, T 1.2, L 1.2) transfer rates, without replacing transfers. The software enables to specify an inter transfer rate, corresponding to the probability for a gene transfer between different hosts. When a horizontal transfer is chosen during generation of the gene tree (inside a symbiont tree and knowing a host/symbiont reconciliation), the transfer is chosen to be an inter host one with the inter transfer rate. So an inter transfer rate of 0 corresponds to only intra transfer, and of 1 corresponds to a case where transfers are only between symbionts in separate hosts. <br> We constructed two simulated datasets, one with a combination of the different rates for the DTL parameters (varrates), and one with only medium rates but with different rates of ""inter"" and ""intra"" transfers (coevol).<br> For the first dataset, we used all 9 combinations of small, medium and high rates for the symbiont generation and the gene generation, with only intra host gene transfer (i.e. an inter transfer rate of zero).<br> For the second dataset, we used only medium rates for both symbiont and genes generation, but we used 6 inter transfer rates going from 0 to 1. For both datasets, and for each set of rates, we generated 50 instances consisting of 1 host tree with 100 leaves, 1 symbiont tree and 5 gene trees, each generated in the pruned version of the other trees (branch that do not reach present are pruned before the generation of the next tree). We then kept each host leaves with a probability of 0.08 to simulate unexhaustive sampling, resulting in host trees with an average size of 8 leaves.<br> This ended up to 399 instances for the first dataset and 226 instances for the second one, and at least 29 instances of 5 genes for each set of parameters. Each repositiory is a simulation instance, varrates_k_l_i correspond to simulation number i with lower rate k and upper rate l. genes, symbiont, species are repositories containing the trees in newick of the genes, symbiont and host in newick. Gene trees are unrooted. Lower matching is a matching between gene and symbiont leaves, upper matching between symbiont and host leaves, gene_host_matching is a matching between gene and host leaves. Transfer list contains one file for each gene and with all transfers simulated, donor and receiver symbiont internal nodes.<br> Each instance also contains the output of tale used in the paper, with the three heuristic, the 2-level symbiont gene (_2l), the 3-level sequential heuristic (_dec) and the 3-level monte carlo approach (_mc) with 50 iterations. All the launch were with 5 rounds of parameters estimation (the default usage). The 0u_0 contain a sampled symbiont gene reconciliation in recphyloxml, and for the 3-level heuristics, 0upper a corresponding host symbiont reconciliation in recphyloxml (multiple ones for the montecarlo i_upper and iu_0 for i from 0 to 49). A known error in the recphyloxml transcription script, now corrected, has induced some errors in some of the recphyloxml files : for some transfers the indicated receiver species is the donor and not the receiver, however redundancy in the format makes it possible to retrieve the information by looking at the matching species in the next event of the gene, that will be the receiver species, we chose to leave it this way instead of relaunching all the computations, as it has no impact on the figures and results presented in our article (mostly constructed using the freq files). The files freq contains information on the frequencies of the different events summed up over gene symbionts reconciliation, lower_log_likelihood contains the log likelihood of the host and symbiont trees knowing the genes (the probability of the genes knowing the host and symbiont).",mds,True,findable,0,0,0,0,0,2023-04-12T14:38:46.000Z,2023-04-12T14:38:47.000Z,cern.zenodo,cern,"Helicobacter pylori,Aphids,Enterobacter","[{'subject': 'Helicobacter pylori'}, {'subject': 'Aphids'}, {'subject': 'Enterobacter'}]",,
-10.5281/zenodo.10213989,Disentangling the drivers of future Antarctic ice loss with a historically-calibrated ice-sheet model,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"=========================================================================Disentangling the drivers of future Antarctic ice loss with a historically-calibrated ice-sheet model=========================================================================
------------------------INTRODUCTION-----------------------
-This dataset contains the data and scripts required to reproduce the figures and tables presented in the study:""Disentangling the drivers of future Antarctic ice loss with a historically-calibrated ice-sheet model"" inÂ The Cryosphere.
-We perform an ensemble of simulations of the Antarctic ice sheet between 1950 and 3014, forced by a panel of CMIP6 climate models, starting from present-day geometry with the Kori-ULB ice-sheet model v0.9. We calibrate our ensemble in a Bayesian framework to produce observationally-calibrated Antarctic projections used to investigate the future trajectory of the Antarctic ice sheet related to uncertainties in the future balance between sub-shelf melting and ice discharge on the one hand, and the surface mass balance on the other. All simulations are performed at a spatial resolution of 16 km.
-Hindcasts of the behaviour of the AIS over the period 1950-2014 CE are reproduced using changes in oceanic and atmospheric boundary conditions derived from the CMIP5 climate model NorESM1-M. As of the year 2015 CE, climate projections derived from a subset of CMIP6 climate models (MRI-ESM2-0, IPSL-CM6A-LR, CESM2-WACCM and UKESM1-0-LL) are used as forcing until the year 2300 CE. Afterwards, no climate trend is applied. The forcing applied is derived from both the Shared Socioeconomic Pathways (SSP) 5-8.5 and 1-2.6 scenarios.Â 
-------------------------------PROVIDED SCRIPTS:Â ------------------------------
-Â - 'KoriModelAll.m' and 'KoriInputParams.m': Kori-ULB ice flow model (more info at https://github.com/FrankPat/Kori-ULB)Â - 'Compute_Bayesian_Weight.m': calculation of the ensemble likelihood weights used in the Bayesian calibration.Â - 'Plot_parameter_space_distributions.m': calculation and plots of prior and posterior parameter Â probability distributions.Â - 'Plot_sea_level_distributions.m': calculation and plots of prior and posterior sea-level distributions.Â - 'Plot_mass_balance_components_distributions.m': calculation and plots of mass balance components distributions.Â - 'Plot_mean_thickness_change.m': calculation and plots of calibrated mean thickness change.Â - 'Plot_ungrounded_probability.m': calculation and plots of the marginal probability of being ungrounded.Â - 'Plot_SMB_sensitivity.m': Calculation and plots of surface mass balance sensitivity.Â - 'run_MISMIPplus.m' and 'MISMIPplus.m': run and compare MISMIP+ experiment
--------------------------PROVIDED DATA:Â -------------------------
-
-'LHSensemble.mat': 100x9 matrices containing the values of the 100-member ensemble sampled (using maximin Latin Hypercube) within the parameter space in Table 1.
-
-1rst column ((:,1)) contains values of atmospheric present-day climatology (CLIMatm): MARv3.11 (1) - RACMOv2.3p2 (2)
-2nd column ((:,2)) contains values of oceanic present-day climatology (CLIMocn): Jourdain2020 (1) - Schmidtko2014 (2)
-3rd column ((:,3)) contains values of the atmospheric lapse rate (Â°C/km)
-4th column ((:,4)) contains values of the thickness of the thermally-active layer influencing surface refreezing (m)
-5th column ((:,5)) contains values of the contains values of the Degree day factor for the melting of ice (mm/PDD)
-6th column ((:,6)) contains values of the contains values of the Degree day factor for the melting of snow (mm/PDD)
-7th column ((:,7)) contains values of the applied Sub-shelf melt parameterisation: Quadratic-local Antarctic slope parameterisation (1) - PICO model (2) - Plume model (3) - ISMIP6 Nonlocal quadratic parameterisation (4) - ISMIP6 Nonlocal quadratic parameterisation including dependency on local slope (5)
-8th column ((:,8)) contains values of the effective ice-ocean heat flux: [0.1 x 10^-5 - 10 x 10^-5] m/s for gammaT* in PICO - [1 x 10^-4 - 10 x 10^-4] for Cd^1/2Gamma_TS in Plume - Â [1 x 10^-4 - 10 x 10^-4] for K in Quadratic-local Antarctic slope parameterisation - [1 x 10^4 - 4 x 10^4] m/yr for gamma0 in ISMIP6 Nonlocal quadratic parameterisation - [1 x 10^6 - 4 x 10^6] m/yr for gamma0 in ISMIP6 Nonlocal quadratic parameterisation with slope dependency
-9th column ((:,9)) contains values of the CMIP6 climate model applied for climate forcing: MRI-ESM2-0 (1) - UKESM1-0-LL (2) - CESM2-WACCM (3) - IPSL-CM6A-LR (4)'LHval' and 'LHS' contain the absolute values and the values of the parameters scaled linearly between 0 and 1 (0: minimum value, 1:maximum value) of the nine parameters, respectively.Â 
-'HIST_ENSEMBLE_DATA.mat' contains the following variables describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014).
-
-H_ensemble: 4D matrix of dimension [X, Y, snap_time, ensemble member] with ice thickness field (in meters) for the 100 ensemble members at different years (snap_time). X and Y represent spatial coordinates on a grid.
-MASK_ensemble: 4D matrix of dimension [X, Y, snap_time, ensemble member] with grounded mask field (in meters) for the 100 ensemble members at different years (snap_time). X and Y represent spatial coordinates on a grid.Â It distinguishes grounded ice (1: grounded) from ocean or floating ice (0: ocean/floating).
-mbcomp_ensemble: 3D matrix of dimension [time, mbcomp, ensemble member] with timeseries (yearly values at years time) of various mass balance components for the 100 ensemble members (in gigatons per year, Gt/yr).Â The components mbcomp include the following ice-sheet aggregated and grounded ice sheet components:Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  (1) Ice-sheet aggregated surface mass balanceÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (2) Ice-sheet aggregated accumulationÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (3) Ice-sheet aggregated surface meltÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (4) Ice-sheet aggregated runoffÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (5) Ice-sheet aggregated rainÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (6) sub-shelf meltÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (7) dynamic ice loss (calving)Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  (8) surface mass balance over the grounded ice sheetÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (9) accumulation over the grounded ice sheetÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (10) surface melt over the grounded ice sheetÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (11) runoff over the grounded ice sheetÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (12) rain over the grounded ice sheet Â  Â  Â  Â  Â  Â Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  (13) Net mass balance (rate of HAF change)
-SLC_ensemble: 2D matrix of dimension [ensemble member, time] with timeseries (yearly values at years time) of the ice-sheet sea-level contribution (in m)Â Â 
-'HIST_ENSEMBLE_DATA_NO_ELEVATION_FEEDBACK.mat': same as 'HIST_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014) when neglecting the melt-elevation feedback.Â 
-'HIST_ENSEMBLE_DATA_HYDROFRAC.mat': same as 'HIST_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014) when including surface melt-driven hydrofracturing of the ice shelves (estimated following Pollard et al., 2015).Â 
-'CONTROL_ENSEMBLE_DATA.mat': contains the variables H_ensemble, MASK_ensemble, mbcomp_ensemble and SLC_ensemble (as in 'HIST_ENSEMBLE_DATA') describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 when considering constant present-day conditions as of the year 2015.Â 
-'SSP126_ENSEMBLE_DATA.mat': contains the variables H_ensemble, MASK_ensemble, mbcomp_ensemble and SLC_ensemble (as in 'HIST_ENSEMBLE_DATA') describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under a SSP1-2.6 scenario.Â 
-'SSP585_ENSEMBLE_DATA.mat': contains the variables H_ensemble, MASK_ensemble, mbcomp_ensemble and SLC_ensemble (as in 'HIST_ENSEMBLE_DATA') describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under a SSP5-8.5 scenario. It also contains the variable Runoff_ensemble, a 4D matrix of dimension [X, Y, snap_time, ensemble member] with surface runoff field (in m/yr i.e.) for the 100 ensemble members at different years (snap_time). X and Y represent spatial coordinates on a grid, as used in Fig. 7.Â 
-'SSP585_ENSEMBLE_DATA_NO_ELEVATION_FEEDBACK.mat': same as 'SSP585_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when neglecting the melt-elevation feedback.Â 
-'SSP585_ENSEMBLE_DATA_HYDROFRAC.mat': same as 'SSP585_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when including surface melt-driven hydrofracturing of the ice shelves (estimated following Pollard et al., 2015).Â 
-'SSP585_ENSEMBLE_DATA_ATM_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when considering constant oceanic present-day conditions as of the year 2015.Â 
-'SSP585_ENSEMBLE_DATA_NO_ELEVATION_FEEDBACK_ATM_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when neglecting the melt-elevation feedback and considering constant oceanic present-day conditions as of the year 2015.Â 
-'SSP585_ENSEMBLE_DATA_OCEAN_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario considering constant atmospheric present-day conditions as of the year 2015.Â 
-'HIST_ENSEMBLE_DATA_BASIN.mat' contains the following variables describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014) integrated over 27 drainage basins (http://imbie.org/imbie-2016/drainage-basins/).
-
-SLC_ensemble_basin: 3D matrix of dimension [basin, ensemble member, time] with timeseries (yearly values at years time) of the ice-sheet sea-level contribution (in m) by basin
-mbcomp_ensemble_basin: 4D matrix of dimension [basin, time, mbcomp, ensemble member] with timeseries (yearly values at years time) of various mass balance components for the 100 ensemble members (in gigatons per year, Gt/yr) by basin. The components mbcomp include the same ice-sheet aggregated and grounded ice-sheet components as in 'HIST_ENSEMBLE_DATA.mat'.Â 
-'HIST_ENSEMBLE_DATA_BASIN_NO_ELEVATION_DATA.mat': same as 'HIST_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014) when neglecting the melt-elevation feedback.Â 
-'HIST_ENSEMBLE_DATA_BASIN_HYDROFRAC.mat': same as 'HIST_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014) when including surface melt-driven hydrofracturing of the ice shelves (estimated following Pollard et al., 2015).Â 
-'SSP126_ENSEMBLE_DATA_BASIN.mat': contains the variables SLC_ensemble_basin and mbcomp_ensemble_basin (as in 'HIST_ENSEMBLE_DATAÂ°BASIN') describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under a SSP1-2.6 scenario.Â 
-'SSP585_ENSEMBLE_DATA_BASIN.mat': contains the variables SLC_ensemble_basin and mbcomp_ensemble_basin (as in 'HIST_ENSEMBLE_DATA') describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under a SSP5-8.5 scenario.Â 
-'SSP585_ENSEMBLE_DATA_BASIN_NO_ELEVATION_FEEDBACK.mat': same as 'SSP585_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under a SSP5-8.5 scenario when neglecting the melt-elevation feedback.Â 
-'SSP585_ENSEMBLE_DATA_BASIN_HYDROFRAC.mat': same as 'SSP585_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when including surface melt-driven hydrofracturing of the ice shelves (estimated following Pollard et al., 2015).Â 
-'SSP585_ENSEMBLE_DATA_BASIN_ATM_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when considering constant oceanic present-day conditions as of the year 2015.Â 
-'SSP585_ENSEMBLE_DATA_BASIN_NO_ELEVATION_FEEDBACK_ATM_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when neglecting the melt-elevation feedback and considering constant oceanic present-day conditions as of the year 2015.Â 
-'SSP585_ENSEMBLE_DATA_BASIN_OCEAN_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario considering constant atmospheric present-day conditions as of the year 2015.Â 
-'GCM_SSPXXX_mean_aTs.mat': Timeseries of the regionally-averaged (between 90â€“60Â°S) annual near-surface (2-m) air temperature anomaly (Â°C) projected by the climate model 'GCM' from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) between 2015 and 2300 under the SSPXXX emission scenario, compared to the 1995-2014 reference period. SSPXXX may be 'SSP126' and 'SSP585' and GCM may be 'MRI-ESM2-0', 'CESM2-WACCM', 'IPSL-CM6A-LR', or 'UKESM1-0-LL'.Â 
-'CALIBRATION DATA.mat': values ('val'), uncertainty ('sigma'), beginning ('year1') and end ('year2') of the average time period of the 12 regionally and temporally aggregated IMBIE data used in the Bayesian calibration (Table 2 in this study, coming from Table 2 from Otosaka et al., 2023)Â 
-'INIT_MAR_aNorESM1-M_1950.mat' and 'INIT_RACMO_aNorESM1-M_1950.mat': Ice-sheet initial states at year 1950 obtained with the 1995-2014 atmospheric climatology from MARv3.11(Kittel eta l.,2021) or RACMOv2.3p2 (van Wessem et al., 2018), respectively, adjusted with a 1945-1955 anomaly from NorESM1-M. H is the ice thickness (in meters), B is the bedrock topography (in meters), and u is the surface velocity (in m/yr). These files were provided as input files to Kori-ULB to produce the projections. More info on the input files and their variables can be found here: https://github.com/FrankPat/Kori-ULB.
-----------------------------------------------------------MATLAB FUNCTIONS USED IN SCRIPTS:Â ----------------------------------------------------------
-- imagescn: imagesc with transparent NaNs, by Chad Greene (2023), downloaded from MATLAB Central File Exchange (https://www.mathworks.com/matlabcentral/fileexchange/61293-imagescn),Â - brewermap: provides all ColorBrewer colorschemes for MATLAB, by Stephen23. Downloaded from https://github.com/DrosteEffect/BrewerMap.- crameri: returns perceptually-uniform scientific colormaps created by Fabio Crameri (requires CrameriColourMaps8.0.mat)
-----------------------------------------------------------------------------------EXTERNAL DATA NOT CONTAINED IN THIS REPOSITORY:----------------------------------------------------------------------------------
-- BedMachine data used for the present-day grounding lines in Figures 2 and 7: It is BedMachine v2 (Morlighem et al., 2020) and can be found here: https://nsidc.org/data/nsidc-0756/versions/2.- The delineation of the 27 Zwally Basins used to identify and separate the West and East Antarctic ice sheets and the Antarctic Peninsula can be found at http://imbie.org/imbie-2016/drainage-basins/- Outputs from MAR(CNRM-CM6-1) and MAR(CESM2) used in Figures 7 and S10. The data can be downloaded at 10.5281/zenodo.4529004 and 10.5281/zenodo.4529002, respectively. It was then interpolated to the 16-km grid used by Kori-ULB.- CESM2-WACCM outputs used in Figure 7 were downloaded from the CMIP6 search interface (https://esgf-node.llnl.gov/search/cmip6/) and interpolated to the 16-km grid used by Kori-ULB.- The CMIP6 forcing data used in this study (and plotted in Figures S6 and S7) are accessible through the CMIP6 search interface (https://esgf-node.llnl.gov/search/cmip6/). They have been interpolated to the interpolated to the 16-km grid used by Kori-ULB.
----------------------REFERENCES:Â ---------------------
-Kittel, C., Amory, C., Agosta, C., Jourdain, N. C., Hofer, S., Delhasse, A., Doutreloup, S., Huot, P.-V., Lang, C., Fichefet, T., and Fettweis, X.: Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet, The Cryosphere, 15, 1215â€“1236, https://doi.org/10.5194/tc-15-1215-2021, 2021.
-Morlighem, M., Rignot, E., Binder, T. et al. Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet. Nat. Geosci. 13, 132â€“137 (2020). https://doi.org/10.1038/s41561-019-0510-8
-Otosaka, I. N., Shepherd, A., Ivins, E. R., Schlegel, N.-J., Amory, C., van den Broeke, M. R., Horwath, M., Joughin, I., King, M. D., Krinner, G., Nowicki, S., Payne, A. J., Rignot, E., Scambos, T., Simon, K. M., Smith, B. E., SÃ¸rensen, L. S., Velicogna, I., Whitehouse, P. L., A, G., Agosta, C., AhlstrÃ¸m, A. P., Blazquez, A., Colgan, W., Engdahl, M. E., Fettweis, X., Forsberg, R., GallÃ©e, H., Gardner, A., Gilbert, L., Gourmelen, N., Groh, A., Gunter, B. C., Harig, C., Helm, V., Khan, S. A., Kittel, C., Konrad, H., Langen, P. L., Lecavalier, B. S., Liang, C.-C., Loomis, B. D., McMillan, M., Melini, D., Mernild, S. H., Mottram, R., Mouginot, J., Nilsson, J., NoÃ«l, B., Pattle, M. E., Peltier, W. R., Pie, N., Roca, M., Sasgen, I., Save, H. V., Seo, K.-W., Scheuchl, B., Schrama, E. J. O., SchrÃ¶der, L., Simonsen, S. B., Slater, T., Spada, G., Sutterley, T. C., Vishwakarma, B. D., van Wessem, J. M., Wiese, D., van der Wal, W., and Wouters, B.: Mass balance of the Greenland and Antarctic ice sheets from 1992 to 2020, Earth Syst. Sci. Data, 15, 1597â€“1616, https://doi.org/10.5194/essd-15-1597-2023, 2023.
-Pollard, D., DeConto, R. M., and Alley, R. B.: Potential Antarctic Ice Sheet retreat driven by hydrofracturing and ice cliff failure, Earth and Planetary Science Letters, 412, 112â€“121, https://doi.org/10.1016/j.epsl.2014.12.035, 2015.Â van Wessem, J. M., van de Berg, W. J., NoÃ«l, B. P. Y., van Meijgaard, E., Amory, C., Birnbaum, G., Jakobs, C. L., KrÃ¼ger, K., Lenaerts, J. T. M., Lhermitte, S., Ligtenberg, S. R. M., Medley, B., Reijmer, C. H., van Tricht, K., Trusel, L. D., van Ulft, L. H., Wouters, B., Wuite, J., and van den Broeke, M. R.: Modelling the climate and surface mass balance of polar ice sheets using RACMO2 â€“ Part 2: Antarctica (1979â€“2016), The Cryosphere, 12, 1479â€“1498, https://doi.org/10.5194/tc-12-1479-2018, 2018.",api,True,findable,0,0,0,0,0,2023-12-12T08:04:54.000Z,2023-12-12T08:04:54.000Z,cern.zenodo,cern,"Ice-sheet modelling, Antarctic ice sheet, Sea-level projections","[{'subject': 'Ice-sheet modelling, Antarctic ice sheet, Sea-level projections'}]",,
-10.5281/zenodo.7462516,Epitaxial La0.5Sr0.5MnO3 bipolar memristive devices with tunable and stable multilevel states,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data files (.txt) of the data presented in the publication DOI 10.1002/admi.202202496 File names are referred to as the reference of the Figure and number in the main manuscript and keywords of the figure. Regarding the series in a Figure, in the case there is very little data, the series are in a single file, arranged in columns. Otherwise, the series with large amounts of data have been split into single files named according to the series (legend). All the files include two headers (Name and Units) for each column. The files containing data from multiple series contain an extra header to precise the data series.",mds,True,findable,0,0,0,0,0,2023-04-19T10:23:38.000Z,2023-04-19T10:23:39.000Z,cern.zenodo,cern,"resistive switching,manganites,oxygen vacancies,memristive devices,metal-organic chemical vapor deposition (MOCVD),epitaxial thin films,valence change memories (VCMs)","[{'subject': 'resistive switching'}, {'subject': 'manganites'}, {'subject': 'oxygen vacancies'}, {'subject': 'memristive devices'}, {'subject': 'metal-organic chemical vapor deposition (MOCVD)'}, {'subject': 'epitaxial thin films'}, {'subject': 'valence change memories (VCMs)'}]",,
-10.6084/m9.figshare.14450781,Additional file 1 of Rare deleterious mutations of HNRNP genes result in shared neurodevelopmental disorders,figshare,2021,,Dataset,Creative Commons Attribution 4.0 International,Additional file 1: Supplementary Tables S1-S12.Â Table S1. Cohorts utilized in current study. Table S2. Pathogenicity predictions by gnomAD and GeVIR for each hnRNP. Table S3. Significant p values of two-way ANOVA between cell type and transcripts per million (TPM) for each NDD HNRNPâ€™s GTEx data. Table S4. P values and fold change for scRNA data from developing human cortex. Table S5. Significant p values of two-way ANOVA between cell type and fold expression for each HNRNP. Table S6. De novo enrichment and CLUMP analyses of current cohort. Table S7. Phenotypes among HNRNP-related disorders. Table S8. Uncorrected p values for pairwise Fisherâ€™s exact tests for each phenotype occurring in 20% of an HNRNP group. Table S9. Uncorrected p values for phenotype correlations between each HNRNP-related disorder. Table S10. Variants and phenotypes for HNRNPs with &lt;â€‰3 probands. Table S11. Probands with copy number variants. Table S12. Shared HPO terms with similarly presenting genetic disorders.,mds,True,findable,0,0,85,1,0,2021-04-20T03:46:13.000Z,2021-04-20T03:46:14.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1217967 Bytes'],
-10.5281/zenodo.10639557,Unite! white paper. A new University open science and innovation governance model and policy for a sustainable world,Unite! Alliance Publications,2023,en,Text,Creative Commons Attribution 4.0 International,"This white paper is a practical tool aimed at contributing to the transition from modern science to open science in universities and European Universities Alliances (EUAs) by 2030. This white paper provides evidence-based policy guidelines for university managers, policymakers, and funders to enhance efficient open science and innovation management at universities.Â ",api,True,findable,0,0,0,0,0,2024-02-09T12:19:37.000Z,2024-02-09T12:19:38.000Z,cern.zenodo,cern,"open science,open science and innovation management,university governance,open innovation,science and innovation policy,European university alliances","[{'subject': 'open science'}, {'subject': 'open science and innovation management'}, {'subject': 'university governance'}, {'subject': 'open innovation'}, {'subject': 'science and innovation policy'}, {'subject': 'European university alliances'}]",,
-10.6084/m9.figshare.25248759,Additional file 1 of Healthcare-associated infections in patients with severe COVID-19 supported with extracorporeal membrane oxygenation: a nationwide cohort study,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1Â ofÂ Healthcare-associated infections in patients with severe COVID-19 supported with extracorporeal membrane oxygenation: a nationwide cohort study.,mds,True,findable,0,0,29,0,0,2024-02-20T04:42:19.000Z,2024-02-20T04:42:19.000Z,figshare.ars,otjm,"Microbiology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",['93615 Bytes'],
-10.5281/zenodo.6324930,Code for Discrete analysis of SWR for a diffusion reaction problem with discontinuous coefficients,Zenodo,2022,en,Software,"Creative Commons Attribution 4.0 International,Open Access","Python3 code used to generate the Figures of the article ""Discrete analysis of SWR for a diffusion reaction problem"". A Jupyter Notebook simplifies the usage.",mds,True,findable,0,0,0,1,0,2022-03-03T08:33:03.000Z,2022-03-03T08:33:04.000Z,cern.zenodo,cern,"Schwarz methods,Waveform relaxation,Semi-discrete","[{'subject': 'Schwarz methods'}, {'subject': 'Waveform relaxation'}, {'subject': 'Semi-discrete'}]",,
-10.17178/snouf.2022,"SNOUF: Snow Under Forest. Snow, forest and meteorological measurements at Col de Porte","OSUG, Meteo France, CNRS, IRD, INRAE",2022,en,Dataset,"Creative Commons Attribution 4.0 International,The following sentence should appear in the acknowledgments of the publication:
-""This project has been conducted within the grant Labex OSUG@2020 ANR10 LABX56 UGA and with financial supports from the IGE and the CEN""","Forests strongly modify the accumulation, metamorphism and melting of snow in mid and high-latitude regions. Recently, snow routines in hydrological and land surface models have been improved to incorporate more accurate representations of forest snow processes but model inter-comparison projects have pointed deficiencies, partly due incomplete knowledge of the processes controlling snow cover in forests. The Snow Under Forest project was initiated to enhance knowledge of the complex interactions between snow and vegetation. Two field campaigns, during the winters 2016-17 and 2017-18, have been conducted in a conifer forest bordering the site study of Col de Porte (1325 m asl, French Alps) in order to document the snow accumulation and ablation processes. This paper presents the field site, instrumentation, and collection methods. The observations include: forest characteristics (tree inventory, LIDAR measurements of forest structure, sub-canopy hemispherical photographsâ€¦), meteorology (automatic weather station and radiometers array), snow cover and depth (snow poles transect and laser scan), and snow interception by the canopy during precipitation events. The weather station installed under dense canopy during the first campaign has been maintained since then and provides continuous measurements throughout the year since 2018.",mds,True,findable,0,0,2,0,0,2022-09-26T08:23:50.000Z,2022-09-26T08:23:51.000Z,inist.osug,jbru,"forest measurements,snow measurements,meteorological measurements","[{'subject': 'forest measurements', 'subjectScheme': 'main'}, {'subject': 'snow measurements', 'subjectScheme': 'main'}, {'subject': 'meteorological measurements', 'subjectScheme': 'main'}]",['285 Mb'],"['CSV', 'NetCDF', 'XLS']"
-10.5281/zenodo.8057992,"Soil and meteorological data, and finite element simulation framework for heat transfer through shrubs in winter near Lautaret pass, French Alps",Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The data allow the calculation using finite element modeling of heat transfer through shrub branches and snow between the atmosphere and the soil. The shrubs are green alders (Alnus viridis). The site where they are found is called Alnus-Nivus (45.034750Â°N, 6.413630Â°E, 2034 m asl) near Col du Lautaret, French Alps. The soil data consist in temperature and volumetric liquid water content at 5 and 15 cm depths. One spot is near the alder collar (ALNUS), the other spot is 6 m away, under grass (GRASS). The meteorological data were obtained from the FR-Clt station, 750 m away (45.041278Â°N, 6.410611Â°E, 2046 m asl). See (Gupta et al., 2023) for details. Only the data relevant for heat transfer simulations are given. The simulation framework gives the alder mesh used in the heat transfer simulations. Typical simulations use a wood thermal conductivity of 1 W m<sup>-1</sup> K<sup>-1</sup> and a snow thermal conductivity of 0.1 W m<sup>-1</sup> K<sup>-1</sup>. Based on observations, the snow height at Alnus-Nivus is likely to be at least twice the value at FR-Clt. Forcing uses the snow surface temperature, derived from upwelling longwave radiation using an emissivity of 1. The data allow testing thermal bridging through shrub branches. These data are used in a publication in preparation: Domine, Fourteau, Choler, Exploration of Thermal Bridging Through Shrub Branches in Alpine Snow. Reference Gupta, A., Reverdy, A., Cohard, J. M., Hector, B., Descloitres, M., Vandervaere, J. P., Coulaud, C., Biron, R., Liger, L., Maxwell, R., Valay, J. G., and Voisin, D.: Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment, Hydrol. Earth Syst. Sci., 27, 191-212, 2023.",mds,True,findable,0,0,0,1,0,2023-06-20T00:57:54.000Z,2023-06-20T00:57:55.000Z,cern.zenodo,cern,"snow,shrub,soil,heat transfer,thermal bridging,Alnus viridis","[{'subject': 'snow'}, {'subject': 'shrub'}, {'subject': 'soil'}, {'subject': 'heat transfer'}, {'subject': 'thermal bridging'}, {'subject': 'Alnus viridis'}]",,
-10.5281/zenodo.7438422,X-ray radiography 4D particle tracking of heavy spheres suspended in a turbulent jet,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This database report 3d trajectories of heavy spheres suspended in a turbulent upward jet. A cylindrical tank is filled with water and the jet nozzle is placed on its axis on the bottom wall, and a constant flowrate (Q) of water is fed through the nozzle. Conditions at 1700 and 2200 mL/min are considered, and the number of spheres is varied between 1 and 12 (Nsphere). The spheres are glass and are detected using X-ray radiography at 60Hz. The 4d kinematics are obtained with this setup using radioSphere (E. Ando et<br> al., Measurement Science and Technology, 32(9), 095405, 2021). Each condition has a series of files named based on the number of spheres in the tank Nsphere and the flowrate Q, with each sphere of index isphere having its own file. Each file is 3 columns of doubles representing the 3d coordinates x, y, and z of the sphere, in mm, where z is the axis of the cylinder and the points up, against gravity. Results from this database are published here: https://doi.org/10.1016/j.ijmultiphaseflow.2023.104406<br> O. Stamati, B. Marks, E. Ando, S. Roux, N. Machicoane, X-ray radiography 4D particle tracking of heavy spheres suspended in a turbulent jet, <em>International Journal of Multiphase Flow</em> 162, 104406, 2023.",mds,True,findable,0,0,0,0,0,2022-12-14T16:48:44.000Z,2022-12-14T16:48:45.000Z,cern.zenodo,cern,"particle-laden flow, turbulence, jet, X-ray radiography, 4d kinematics","[{'subject': 'particle-laden flow, turbulence, jet, X-ray radiography, 4d kinematics'}]",,
-10.26302/sshade/experiment_ak_20141125_1,&gt;Mid-infrared attenuated total reflectance experiment with kaolinite (KGa-1),SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:16:26.000Z,2022-11-04T08:16:26.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Kaolinite,oxide-hydroxide,Anatase,phosphate,Crandallite,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Kaolinite'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Anatase'}, {'subject': 'phosphate'}, {'subject': 'Crandallite'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.5237214,Modern Greek DBnary archive in original Lemon format,Zenodo,2021,el,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Modern Greek language edition, ranging from 12th June 2013 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-23T18:56:41.000Z,2021-08-23T18:56:42.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.15778/resif.yw2017,Maurienne Seismic Swarm 2017-2018,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2017,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Since July 2017, an active seismic swarm located in the Maurienne Valley (French Alps) has been monitored by the Observatory systems (SISMalp) of the Institute of Earh Science ISTerre, part of the RESIF national infrastructure. More than 5000 earthquakes (0.9 &lt; M &lt; 3.7) were recorded between July 2017 and February 2018, localised in a 10km square region. Since August 2017, SISMalp has deployed five additional and temporary seismological (BB) stations, around the epicentral region of the swarm.",mds,True,findable,0,0,0,3,0,2018-03-30T08:53:36.000Z,2018-03-30T08:53:36.000Z,inist.resif,vcob,"Seismology,Swarm,Alps,Maurienne","[{'subject': 'Seismology'}, {'subject': 'Swarm'}, {'subject': 'Alps'}, {'subject': 'Maurienne'}]","['5 stations, 204 Gb']","['miniseed data', 'stationXML metadata']"
-10.6084/m9.figshare.12886129,Additional file 2 of Epidural analgesia in ICU chest trauma patients with fractured ribs: retrospective study of pain control and intubation requirements,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 2: Figure S2. Proportions of patients given epidural analgesia in each study ICU.,mds,True,findable,0,0,1,1,0,2020-08-28T04:02:53.000Z,2020-08-28T04:02:54.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Neuroscience,Immunology,FOS: Clinical medicine,Science Policy,Mental Health,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}]",['14048 Bytes'],
-10.5281/zenodo.8116463,"Dataset, setups and scripts to numerically reproduce the breaching process",Zenodo,2023,,Dataset,"Creative Commons Attribution 2.0 Generic,Open Access","This dataset is part of the article: Numerical investigation of mode failures in submerged granular columns - E. P. MontellÃ , J. Chauchat, C. Bonamy, D. Weij, G. H. Keetels and T. J. Hsu. This file contains the numerical results obtained with SedFoam to model the breaching experiments of Weij (2020) (full thesis available at https://pure.tudelft.nl/ws/portalfiles/portal/84166231/2020_03_05_thesis_dweij.pdf ). The folder and files are set to reproduce the Experiments 8 and 16 in case the user wants to re-launch the numerical simulations. These simulations can be executed with ./Allrun. Two Python scripts are available for post-processing. The Python scripts require the fluidfoam package to be installed and it is freely available at https://github.com/fluiddyn/fluidfoam .",mds,True,findable,0,0,0,0,0,2023-07-05T10:23:18.000Z,2023-07-05T10:23:18.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.12421358,Additional file 2 of Impact of take-home messages written into slide presentations delivered during lectures on the retention of messages and the residentsâ€™ knowledge: a randomized controlled study,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 2. Examples of Multiple Choice Questions.,mds,True,findable,0,0,18,0,0,2020-06-04T03:57:26.000Z,2020-06-04T03:57:27.000Z,figshare.ars,otjm,"Medicine,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['12703 Bytes'],
-10.6084/m9.figshare.22599661,Additional file 1 of Procalcitonin to reduce exposure to antibiotics and individualise treatment in hospitalised old patients with pneumonia: a randomised study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1.,mds,True,findable,0,0,0,0,0,2023-04-13T09:42:54.000Z,2023-04-13T09:42:55.000Z,figshare.ars,otjm,"Space Science,Medicine,Immunology,FOS: Clinical medicine,Cancer,111714 Mental Health,FOS: Health sciences,110309 Infectious Diseases","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}]",['317731 Bytes'],
-10.5061/dryad.qv9s4mwf3,"Global maps of current (1979-2013) and future (2061-2080) habitat suitability probability for 1,485 European endemic plant species",Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Aims: The rapid increase in the number of species that have naturalized beyond their native range is among the most apparent features of the Anthropocene. How alien species will respond to other processes of future global changes is an emerging concern and remains largely misunderstood. We therefore ask whether naturalized species will respond to climate and land-use change differently than those species not yet naturalized anywhere in the world. Location: Global Methods: We investigated future changes in the potential alien range of vascular plant species endemic to Europe that are either naturalized (n = 272) or not yet naturalized (1,213) outside of Europe. Potential ranges were estimated based on projections of species distribution models using 20 future climate-change scenarios. We mapped current and future global centres of naturalization risk. We also analyzed expected changes in latitudinal, elevational and areal extent of speciesâ€™ potential alien ranges. Results: We showed a large potential for more worldwide naturalizations of European plants currently and in the future. The centres of naturalization risk for naturalized and non-naturalized plants largely overlapped, and their location did not change much under projected future climates. Nevertheless, naturalized plants had their potential range shifting poleward over larger distances, whereas the non-naturalized ones had their potential elevational ranges shifting further upslope under the most severe climate change scenarios. As a result, climate and land-use changes are predicted to shrink the potential alien range of European plants, but less so for already naturalized than for non-naturalized species. Main conclusions: While currently non-naturalized plants originate frequently from mountain ranges or boreal and Mediterranean biomes in Europe, the naturalized ones usually occur at low elevations, close to human centres of activities. As the latter are expected to increase worldwide, this could explain why the potential alien range of already naturalized plants will shrink less.",mds,True,findable,272,14,0,0,0,2021-06-09T18:31:09.000Z,2021-06-09T18:31:10.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,alien plant species,Climate change,climate change responses,species range shift,interacting effects of global change,Land-use change,macro-ecology,non-analogue climate","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'alien plant species'}, {'subject': 'Climate change', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'climate change responses'}, {'subject': 'species range shift'}, {'subject': 'interacting effects of global change'}, {'subject': 'Land-use change'}, {'subject': 'macro-ecology'}, {'subject': 'non-analogue climate'}]",['3040794130 bytes'],
-10.26302/sshade/experiment_op_20201203_001,W L3 edge XAS transmission of W metallic foil (5Âµm) at 300K,SSHADE/FAME (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-12-14T09:11:55.000Z,2020-12-14T09:11:56.000Z,inist.sshade,mgeg,"commercial,metal,metallic W,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'metal'}, {'subject': 'metallic W'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_zy_20180216_001,VIS-NIR reflectance spectra of water frost condensed at the surface of a piece of compact CO2 ice,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","A piece of compact CO2 ice (commercial slab) was exposed to humid air outdoors (93% RH), resulting in the inhomogeneous deposition of water frost at the surface. Average reflectance spectra over three different regions of interest were then calculated. Vis multispectral + NIR low resolution and Vis-NIR high resolution spectra.",mds,True,findable,0,0,0,0,0,2023-04-28T13:54:47.000Z,2023-04-28T13:54:47.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,H2O ice,solid CO2,solid,laboratory,commercial,inorganic molecular solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'reflectance factor', 'subjectScheme': 'var'}, {'subject': 'H2O ice', 'subjectScheme': 'name'}, {'subject': 'solid CO2', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}]",['6 spectra'],['ASCII']
-10.26302/sshade/experiment_op_20180717_002,Cu K edge XAS HERFD (Kalpha1) of CuSO4.n(H2O) at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:35:39.000Z,2019-12-05T13:35:39.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,None,CuSO4.n(H2O),laboratory measurement,fluorescence emission,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'None'}, {'subject': 'CuSO4.n(H2O)'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_cb_20190408_001,Se K edge XAS HERFD of selenium with various oxidation states at 10K,SSHADE/FAME (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-15T20:23:12.000Z,2019-11-15T20:23:13.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,anhydrous salt,Sodium selenate (SeVI),Sodium selenite (SeIV),Sodium selenide (SeII),organic molecular solid,Se-methionine,Se-cysteine,Se-cystine,Se-cystamine dihydrochloride,Se-urea,elemental solid,Se0 red,molecular solid solution,Frozen solution of Sodium selenate (SeVI),Frozen solution of Sodium selenite (SeIV),Frozen solution of Sodium selenide (SeII),Frozen solution of Se-glutathione peroxidase,Frozen solution of Se-methionine,Frozen solution of Se-diglutathione,Frozen solution of Se-cystine,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'anhydrous salt'}, {'subject': 'Sodium selenate (SeVI)'}, {'subject': 'Sodium selenite (SeIV)'}, {'subject': 'Sodium selenide (SeII)'}, {'subject': 'organic molecular solid'}, {'subject': 'Se-methionine'}, {'subject': 'Se-cysteine'}, {'subject': 'Se-cystine'}, {'subject': 'Se-cystamine dihydrochloride'}, {'subject': 'Se-urea'}, {'subject': 'elemental solid'}, {'subject': 'Se0 red'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of Sodium selenate (SeVI)'}, {'subject': 'Frozen solution of Sodium selenite (SeIV)'}, {'subject': 'Frozen solution of Sodium selenide (SeII)'}, {'subject': 'Frozen solution of Se-glutathione peroxidase'}, {'subject': 'Frozen solution of Se-methionine'}, {'subject': 'Frozen solution of Se-diglutathione'}, {'subject': 'Frozen solution of Se-cystine'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['16 spectra'],['ASCII']
-10.6084/m9.figshare.22621187,"Additional file 1 of Promoting HPV vaccination at school: a mixed methods study exploring knowledge, beliefs and attitudes of French school staff",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Additional Table 1. Teams conducting the PrevHPV program (The PrevHPV Consortium). Additional Table 2. COREQ (COnsolidated criteria for REporting Qualitative research) Checklist. Additional Table 3. STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) Statement â€” checklist of items that should be included in reports of observational studies. Additional Table 4. Characteristics of the middle schools invited to participate in the study and of those which accepted to participate. Additional Table 5. Additional illustrative verbatim of participants to the focus groups. Additional Table 6. Psychological antecedents of vaccination (5C scale) among participants to the self-administered online questionnaire and by profession. Additional Table 7. Public health topics discussed with pupils by participants to the self-administered online questionnaire and by profession. Additional Table 8. Appropriate period to propose HPV vaccination among pupils according to participants to the self-administered online questionnaire and by profession. Additional Document 1. Self-administered online questionnaire. Additional Document 2. Focus groupsâ€™ interview guide. Additional Document 3. Names of the PrevHPV Study Groupâ€™s members.,mds,True,findable,0,0,0,0,0,2023-04-13T14:58:32.000Z,2023-04-13T14:58:32.000Z,figshare.ars,otjm,"Medicine,Molecular Biology,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Molecular Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['77628 Bytes'],
-10.18709/perscido.2022.06.ds369,CampusIoT anonymized LoRaWAN dataset,PerSCiDo,2022,en,Dataset,,"A dataset containing 130 million entries of LoRaWAN network logs produced by CampusIoT, including basic radio features and gateways' management messages (eg: official links between DevEUI and DevAddr). See the attached document for a more precise description of the fields available.",fabrica,True,findable,0,0,0,0,0,2022-06-29T14:08:22.000Z,2022-06-29T14:08:23.000Z,inist.persyval,vcob,"Information technology,Computer science,Engineering","[{'lang': 'en', 'subject': 'Information technology'}, {'lang': 'en', 'subject': 'Computer science'}, {'lang': 'en', 'subject': 'Engineering'}]",['6.2Mo'],
-10.5281/zenodo.5563067,Structures and Properties of Known and Postulated Interstellar Cations,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Positive ions play a fundamental role in interstellar chemistry, especially in cold environments where chemistry is believed to be mainly ion driven. We have carried out new accurate quantum chemical calculations to identify the structures and energies of 262 cations with up to 14 atoms that are postulated to have a role in interstellar chemistry. Optimized structures and rotational constants were obtained at the M06-2X/cc-pVTZ level, while electric dipoles and total electronic energies were computed with CCSD(T)/aug-cc-pVTZ//M06-2X/cc-pVTZ single-point energy calculations.",mds,True,findable,0,0,0,0,0,2021-10-11T21:48:23.000Z,2021-10-11T21:48:24.000Z,cern.zenodo,cern,"cations,ISM molecules,astrochemistry","[{'subject': 'cations'}, {'subject': 'ISM molecules'}, {'subject': 'astrochemistry'}]",,
-10.6084/m9.figshare.20221970,Additional file 2 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter caseâ€“control computed tomography study,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 2: Flow chart of the study,mds,True,findable,0,0,27,1,0,2022-07-04T06:41:08.000Z,2022-07-04T06:41:10.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['157413 Bytes'],
-10.26302/sshade/experiment_rb_20130101_002,"Ion irradiation ($He^+$, $Ar^+$) of a Murchison meteorite pellets probed by Raman spectroscopy",SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Raman spectra of pellets 1 and 2 of the Murchison meteorite, with different irradiation spots on the surface. Raman micro-spectroscopy was performed at the SMIS beamline at SOLEIL using a DXR Raman micro-spectrometer from Thermo Fisher with a 532 nm exciting laser radiation, and a power on the sample lower than 0.3 mW, producing power densities lower than 300 $W/mm^2$.",mds,True,findable,0,0,0,0,0,2022-05-27T17:02:53.000Z,2022-05-27T17:02:54.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix Murchison,complex mineral mix,chondrules Murchison,CAIs Murchison,laboratory measurement,Raman scattering,micro-imaging,MIR,Mid-Infrared,Raman scattering intensity","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Murchison'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Murchison'}, {'subject': 'CAIs Murchison'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'micro-imaging'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'Raman scattering intensity'}]",['6 spectra'],['ASCII']
-10.26302/sshade/experiment_cl_20181201_04,Ion irradiation ($He^+$) of a Mighei meteorite pellet probed by Vis-NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR spectra of Mighei meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T17:00:54.000Z,2022-05-27T17:00:55.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix Mighei,complex mineral mix,chondrules Mighei,CAIs Mighei,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Mighei'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Mighei'}, {'subject': 'CAIs Mighei'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.15778/resif.zo2014,HiK-NET temporary experiment (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2011,en,Other,"Open Access,Creative Commons Attribution 4.0 International","HiK-NET for Himalaya Karnali Network is a temporary seismic experiment in Far Western Nepal. Goal: Monitoring the mid-crustal seismicity along the downdip end of locked fault segments of the Main Himalayan Thrust, along a 100 km stretch of the fault. Backbone: 15 seismic stations deployed for ~2 years (2014-2016) in Karnali river region (Far Western Nepal). Sensors: 8 CMG40 and 7 Le3D5s. Digitizers: Nanometrics Taurus.",mds,True,findable,0,0,0,1,0,2018-06-05T14:22:31.000Z,2018-06-05T14:22:31.000Z,inist.resif,vcob,"Seismology,Temporary network,Himalaya,Nepal,Main Himalayan Thrust","[{'subject': 'Seismology'}, {'subject': 'Temporary network'}, {'subject': 'Himalaya'}, {'subject': 'Nepal'}, {'subject': 'Main Himalayan Thrust'}]","['15 stations during 3 years, 289 Gb']","['Miniseed data', 'stationXML metadata']"
-10.5061/dryad.jdfn2z378,"Persistence of arctic-alpine flora during 24,000 years of environmental change in the Polar Urals",Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Plants adapted to extreme conditions can be at high risk from climate change; arctic-alpine plants, in particular, could â€œrun out of spaceâ€ as they are out-competed by expansion of woody vegetation. Mountain regions could potentially provide safe sites for arctic-alpine plants in a warmer climate, but empirical evidence is fragmentary. Here we present a 24,000-year record of species persistence based on sedimentary ancient DNA (sedaDNA) from Lake Bolshoye Shchuchye (Polar Urals). We provide robust evidence of long-term persistence of arctic-alpine plants through large-magnitude climate changes but document a decline in their diversity during a past expansion of woody vegetation. Nevertheless, most of the plants that were present during the last glacial interval, including all of the arctic-alpines, are still found in the region today. This underlines the conservation significance of mountain landscapes via their provision of a range of habitats that confer resilience to climate change, particularly for arctic-alpine taxa.",mds,True,findable,289,38,0,0,0,2019-12-17T15:15:14.000Z,2019-12-17T15:15:15.000Z,dryad.dryad,dryad,,,['6768200622 bytes'],
-10.5281/zenodo.7688636,A snippet from neXtSIM_DG : next generation sea-ice model with DG,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Open Access","<strong>A snippet from neXtSIM_DG : next generation sea-ice model with DG</strong> This archive contains the software described and required to reproduce the numerical results of the manuscript <em>""The neXtSIM-DG dynamical core: A Framework for Higher-order Finite Element Sea Ice Modeling""</em> by Thomas Richter, VÃ©ronique Dansereau, Christian Lessig and Piotr Minakowski. We strongly recommend that you access nextsim-DG's GitHub page https://github.com/nextsimdg/nextsimdg instead of this archive for the latest version of the code. The software is still under active development and this excerpt contains only a very small part of it. In the present form, it is provided for self-contained reproducibility. neXtSIM-DG is created as part of SASIP: The Scale-Aware Sea Ice Project which is funded by Schmidt Futures, a philanthropic initiative founded by Eric and Wendy Schmidt that bets early on exceptional people making the world better, particularly through innovative breakthroughs in science and technology. It is a project of Schmidt Futures' Virtual Earth System Research Institute (VESRI). <strong>Installation</strong> The main requirements for compiling the neXtSIM_DG and the test cases from the manuscript are the cmake build environment a C++17 compiler. We made best experience with gcc (but clang also works) the template linear algebra library Eigen version 3.4 or newer We assume that <code>.../nextsim/</code> is the path to the directory where this readme is located. To configure and compile neXtSIM_DG: create a build directory <code>mkdir BUILD</code> In <code>BUILD</code> configure neXtSIM_DG with <code>cmake .../nextsim</code>. You can adjust the settings by issuing <code>ccmake .</code> within the build directory. In particular, consider to set <code>CMAKE_BUILD_TYPE</code> to <code>Release</code> for optimal performance and turning <code>WITH_THREADS</code> to <code>ON</code> for OpenMP multithreading support. In <code>BUILD</code> compile neXtSIM_DG by calling <code>make</code>. The executables for running the numerical tests will all be located within the build directory at <code>BUILD/dynamics/tests</code>. Detailed <strong>installation instructions</strong> for the complete neXtSIM_DG project can be found here. <strong>Running the test cases</strong> The test cases do not depend on any external data and can be started from any working directory. <strong>Advection Testcase I</strong> This reproduces Testcase I specified in Section 5.1.1 of the manuscript. A smooth initial condition is advected in a rotational velocity field using discontinuous Galerkin DG(0), DG(1) and DG(2) discretizations on sequences of refined meshes. <code>BUILD/dynamics/tests/example1-sasipmesh</code> The output shows the number of DG degrees of freedom (1 for DG(0), 3 for DG(1) and 6 for DG(2)), the number of time steps and the number of grid cells in each grid direction. This is followed by the error in mass conservation as well as the discretization error and the discretization error stored in the program. The outputs correspond to Figure 4 of the manuscript (see also the documentation). vtk-outputs of the solution are written out in folders named <code>Example1_DG_NX</code>, where again DG is the number of DG degrees of freedom and NX is the number of mesh elements in each direction. <strong>Advection Testcase II</strong> This reproduces Testcase II specified in Section 5.1.2 of the manuscript. An initial condition that represents four shapes with different smoothness (see Figure 6 of the manuscript) is advected in a ring domain. The test is repeated using discontinuous Galerkin DG(0), DG(1) and DG(2) discretizations on sequences of refined meshes. <code>BUILD/dynamics/tests/example2-sasipmesh</code> The output is corresponding to Testcase I. The vtk's correspond to Figure 7 in the manuscript. <strong>LKF Benchmark</strong> This example reproduces the sea ice benchmark configuration that is described in Section 5.2 of the manuscript and that first has been introduced by Mehlmann and Richter in A modified global Newton solver for viscous-plastic sea ice models and that has been used for comparing different sea ice implementations in Simulating Linear Kinematic Features in Viscous-Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering. <code>BUILD/dynamics/tests/example2-sasipmesh</code> The benchmark is defined on a domain of size <strong>512km x 512km</strong> for <strong>2 days</strong> simulation time. VTK output is generated every hour and stored in <code>Benchmark_CG_DG_NX</code> where <code>CG</code> stands for the degree of the velocity discretization (1 or 2) and <code>DG</code> for the number of DG degrees of freedom (1, 3 or 6). <code>NX</code> is the number of elements in each direction. These three parameters are adjusted in the file <code>benchmark_mevp.cpp</code> within the main function. <strong>Multithreading</strong> If configured with <code>WITH_THREADS ON</code>, neXtsim_DG will take the maximum number of available threads. You can control the number of threads by setting the environment variable <code>OMP_NUM_THREADS</code>.",mds,True,findable,0,0,0,0,0,2023-03-02T16:56:01.000Z,2023-03-02T16:56:02.000Z,cern.zenodo,cern,"sea ice,C++,SASIP,finite elements,discontinuous Galerkin","[{'subject': 'sea ice'}, {'subject': 'C++'}, {'subject': 'SASIP'}, {'subject': 'finite elements'}, {'subject': 'discontinuous Galerkin'}]",,
-10.17178/emaa_para-h2(13c)o_rotation_903f6446,Rotation excitation of para-H2[13C]O by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 36 radiative transitions / 171 collisional transitions for ortho-H2 (21 temperatures in the range 10-300K) / 171 collisional transitions for para-H2 (21 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:57.000Z,2021-11-18T13:35:58.000Z,inist.osug,jbru,"target para-H2[13C]O,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2[13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.8104455,How Absence Seizures Impair Sensory Perception: Insights from Awake fMRI and Simulation Studies in Rats,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains measured and simulated data for the manuscript titled ""How Absence Seizures Impair Sensory Perception: Insights from Awake fMRI and Simulation Studies in Rats"" by Stenroos P. et al. Electroencephalographic (EEG) and functional magnetic resonance imaging (fMRI) data was recorded simultaneously from awake GAERS; a rat model of absence epilepsy. Visual and whisker stimulation was experimentally applied, and visual stimulation was simulated during interictal and ictal states and whole brain hemodynamic and neural responsiveness was compared between states.",mds,True,findable,0,0,0,0,0,2023-07-01T20:11:53.000Z,2023-07-01T20:11:53.000Z,cern.zenodo,cern,"fMRI,EEG,AdEx mean-field model,GAERS,Sensory perception","[{'subject': 'fMRI'}, {'subject': 'EEG'}, {'subject': 'AdEx mean-field model'}, {'subject': 'GAERS'}, {'subject': 'Sensory perception'}]",,
-10.5281/zenodo.8324811,"Data for ""False trends in Landsat-based vegetation greenness due to increased image availability over time""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Raster data used in this following paper : ""False trends in Landsat-based vegetation greenness due to increased image availability over time"". The dataset includes observed greening trends for the European Alps, and sum of observations in the european alps and the arctic.",mds,True,findable,0,0,0,0,0,2023-09-07T08:19:10.000Z,2023-09-07T08:19:11.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3514728,Interannual iceberg meltwater fluxes over the Southern Ocean,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Monthly Iceberg Meltwater Fluxes over the Southern Ocean (1972-2017) :</strong> Here is an update of the iceberg meltwater climatology initially provided by Merino et al (2016). This flux is still derived from NEMO's Lagrangian iceberg module developed by Marsh et al. (2015) and updated by Merino et al. (2016). It is run within a global ORCA025 ocean simulation running from 1958 to 2017, forced by the Drakkar Forcing Set (DFS-5.2; Dussin et al 2016). The 1958-1972 period is used to spin up the model, and the meltwater fluxes are provided over 1972-2017. The iceberg calving fluxes are constant, but their meltwater fluxes varies seasonally and interannually. Ice-shelf meltwater fluxes are reconstructed from glaciological observations (Merino et al. 2018), and here vary linearly from 1990 to 2010 (constant before and after). <strong>Known caveats:</strong> The ocean grid is the old ""ORCA025"" grid, which does not extend southward of 70Â°S, i.e. iceberg do not follow the southernmost ice shelf edges (e.g. Ronne ice shelf). <strong>References:</strong> Dussin, Raphael, Bernard Barnier, Laurent Brodeau, and Jean Marc Molines (2016). Drakkar Forcing Set DFS5. Marsh, R., Ivchenko, V. O., Skliris, N., Alderson, S., Bigg, G. R., Madec, G., and others (2015). NEMO-ICB (v1. 0): interactive icebergs in the NEMO ocean model globally configured at eddy-permitting resolution. <em>Geoscientific Model Development</em>, <em>8</em>(5), 1547-1562. Merino, N., Le Sommer, J., Durand, G., Jourdain, N. C., Madec, G., Mathiot, P. and Tournadre, J. (2016). Antarctic icebergs melt over the Southern Ocean: Climatology and impact on sea ice. <em>Ocean Modelling</em>, <em>104</em>, 99-110. Merino, N., Jourdain, N. C., Le Sommer, J., Goosse, H., Mathiot, P. and Durand, G. (2018). Impact of increasing antarctic glacial freshwater release on regional sea-ice cover in the Southern Ocean. <em>Ocean Modelling</em>, <em>121</em>, 76-89.",mds,True,findable,0,0,2,4,0,2019-10-21T10:25:34.000Z,2019-10-21T10:25:34.000Z,cern.zenodo,cern,"iceberg,Southern Ocean,Antarctica,meltwater,freshwater","[{'subject': 'iceberg'}, {'subject': 'Southern Ocean'}, {'subject': 'Antarctica'}, {'subject': 'meltwater'}, {'subject': 'freshwater'}]",,
-10.26302/sshade/experiment_sb_20200629_001,Optical constants in the MIR and FIR for oriented natural anatase and brookite crystals,SSHADE/DOCCD (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-07-14T08:41:37.000Z,2020-07-14T08:41:39.000Z,inist.sshade,mgeg,"natural terrestrial,oxide-hydroxide,Anatase,Brookite,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Anatase'}, {'subject': 'Brookite'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['5 spectra'],['ASCII']
-10.26302/sshade/experiment_lb_20180326_001,"Vis-NIR reflectance spectra (i=0Â°, e=30Â°) of powdered lunar meteorite MAC88105 at 80Â°C under vacuum",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-05-02T05:49:02.000Z,2021-05-02T05:49:02.000Z,inist.sshade,mgeg,"extraterrestrial,lunar,anorthite,complex mineral mix,anorthositic lunar meteorite MAC88105,natural terrestrial,physically adsorbed phase,adsorbed H2O,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'lunar'}, {'subject': 'anorthite'}, {'subject': 'complex mineral mix'}, {'subject': 'anorthositic lunar meteorite MAC88105'}, {'subject': 'natural terrestrial'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed H2O'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.5508669,Effects of population density on static allometry between horn length and body mass in mountain ungulates,Zenodo,2021,,Software,"MIT License,Open Access","Little is known about the effects of environmental variation on allometric relationships of condition-dependent traits, especially in wild populations. We estimated sex-specific static allometry between horn length and body mass in four populations of mountain ungulates that experienced periods of contrasting density over the course of the study. These species displayed contrasting sexual dimorphism in horn size; high dimorphism in <i>Capra ibex</i> and <i>Ovis canadensis</i> and low dimorphism in <i>Rupicapra rupicapra</i> and <i>Oreamnos americanus</i>. The effects of density on static allometric slopes were weak and inconsistent while allometric intercepts were generally lower at high density, especially in males from species with high sexual dimorphism in horn length. These results confirm that static allometric slopes are more canalized than allometric intercepts against environmental variation induced by changes in population density, particularly when traits appear more costly to produce and maintain.",mds,True,findable,0,0,0,0,0,2021-09-15T18:15:53.000Z,2021-09-15T18:15:54.000Z,cern.zenodo,cern,"Density dependence,Alpine ungulates,horn","[{'subject': 'Density dependence'}, {'subject': 'Alpine ungulates'}, {'subject': 'horn'}]",,
-10.5281/zenodo.10037954,FIG. 1 in Passiflora tinifolia Juss. (Passiflora subgenus Passiflora): resurrection and synonymies,Zenodo,2023,,Image,Creative Commons Attribution 4.0 International,FIG. 1. â€” Iconography of P. tinifolia Juss. from the original description by Jussieu (1805).,api,True,findable,0,0,0,0,0,2023-10-24T17:26:28.000Z,2023-10-24T17:26:28.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.15778/resif.yo1998,TRACK experiment,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2011,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Seismic velocity tomography, geodynamic modelling and geochemical characterictics of the tertiary and quaternary volcanic activity provide an evidence for the ascent of a mantle plume beneath the MC during Tertiary. To characterize the pervasive upper mantle structures and the upper mantle flow beneath the French Massif Central, we deployed 25 three component stations (short period, intermediate and broad-band) during the period 1998-1999 in the southern Massif central, from the Clermont Ferrand volcanic area to the Mediterranean sea. 3-D tomographic models have been reconstructed from the volcanic areas to the Mediterranean sea with main objectives of detecting the presence of the mantle plume but also of mapping the lateral variations of the lithosphere thickness and of characterizing the deep structures of the mantle beneath the southern Massif Central. Teleseismic shear waves (SKS, SKKS and PKS) were also used to quantify the upper mantle anisotropy by measuring the splitting parameters: the fast polarization directions and the delay times. Delay times generally smaller than 1 s are observed at most of the sites. The azimuths of the fast split shear waves trend homogeneously NW-SE in the southern part of the Massif central. This anisotropy pattern clearly differs from the Pyrenean anisotropy further south which trends homogeneously N100Â°E and which displays statistically higher delay times. This regional anisotropy variation does not favor the present-day motion of the Eurasian plate as the primary source of mantle deformation. Instead, this homogeneous trend of mantle flow could be correlated to either frozen Hercynian structures or more likely to the tertiary extension direction. Several arguments suggest that the rotation of the Corsica block, the roll-back to the SE of the Calabrian subduction and the Tertiary extension of the western Mediterranean during the convergence of Africa and Europe may have affected the pervasive upper mantle structures in the southern Massif Central.",mds,True,findable,0,0,0,2,0,2018-03-01T13:18:34.000Z,2018-03-01T13:18:34.000Z,inist.resif,vcob,"Mantle plume,Massif Central,Seismic anisotropy and mantle flow,SKS splitting,Body wave seismology,Lithosphere and Asthenosphere","[{'subject': 'Mantle plume'}, {'subject': 'Massif Central'}, {'subject': 'Seismic anisotropy and mantle flow'}, {'subject': 'SKS splitting'}, {'subject': 'Body wave seismology'}, {'subject': 'Lithosphere and Asthenosphere'}]",['9.8 Gb;14 stations'],"['miniseed data', 'stationXML metadata']"
-10.5281/zenodo.5801251,Sedimentary structure discrimination with hyperspectral imaging in sediment cores,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The LDB17_P11Ax (IGSN: TOAE0000000243); Datation Age 1040 +/- 30 to 2017 CE by core correlation, 14C, lamina counting) core from the Bourget Lake (France) was analyzed in 2018 by hyperspectral imaging. We studied the potential of hyperspectral sensor to image a sediment cores and created machine learning models. The hyperspectral images were acquired in order to develop quantitative (estimating particle size and loss on ignition) and qualitative (detection of instantaneous events or lamina) methods.<br> All these methods allow to reconstruct the past environment and climate at high resolution (pixel size: 50-250 microns) and without destroying the sample for archiving for future analysis.<br> These images have been valorized in publications for the detection of instantaneous events with hyperspectral and combined with XRF data, for the combination of the two images into a composite image.<br> image (.hdr, .dat, .jpg)",mds,True,findable,0,0,0,2,0,2021-12-23T10:16:43.000Z,2021-12-23T10:16:44.000Z,cern.zenodo,cern,"Hyperspectral imaging,Machine learning,Discrimination methods,Visible and near-infrared spectroscopy,Automatic detection,Sedimentary deposits","[{'subject': 'Hyperspectral imaging'}, {'subject': 'Machine learning'}, {'subject': 'Discrimination methods'}, {'subject': 'Visible and near-infrared spectroscopy'}, {'subject': 'Automatic detection'}, {'subject': 'Sedimentary deposits'}]",,
-10.5281/zenodo.3407127,Experiments on Grain Size Segregation in Bedload Transport on a steep Slope,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset is the basis of the publication: Frey, P., Lafaye de Micheaux, H., Bel, C., Maurin, R., Rorsman, K., Martin, T., Ducottet, C., 2020. Experiments on grain size segregation in bedload transport on a steep slope. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2019.103478. Experiments consisted in bedload of two-size spherical glass beads transported at equilibrium by a turbulent supercritical free surface water flow over a mobile bed. Two runs, one with a low rate of large black beads (S6), the other with a higher rate (S20), are considered. This dataset consists in: - temporal sequences of uncompressed tif images corresponding to figure 5 showing small particle concentration : 9 sequences for run S6 (BillesBaumerMicro) and 9 sequences for run S20 (BillesbaumerAmontSequence) - two â€˜.matâ€™ file corresponding to runs S6 (trackData_Micro_S6.mat) and S20 (trackData_Amont_S20.mat) giving all the trajectories of all beads. Trajectories were obtained with a tracking algorithm developed by H. Lafaye de Micheaux et al. (2016,2018) building on Hergault et al. (2010). The code implementing the tracking algorithm is available on https://github.com/hugolafaye/BeadTracking. The files contain the variable 'trackData' being a cell array of tracking matrices. There is one tracking matrix for each image of the sequence giving in particular the coordinate and velocity of each bead. Complete information on data format is given in the file readme.txt in the github BeadTracking package. Parameter files necessary to replicate our results from the images are also available on the BeadTracking package as well as on https://doi.org/10.5281/zenodo.3454628 where a 1000-image ground truth is stored. Important note: Experimental images were grabbed with the flow from right to the left implying for instance negative values for the x-coordinate of velocities. To comply with a traditional convention, images and associated results in the publication are shown from left to the right.",mds,True,findable,5,0,0,0,0,2019-10-14T14:33:25.000Z,2019-10-14T14:33:25.000Z,cern.zenodo,cern,"Sediment transport, bedload, experimental, segregation, two-phase flow, granular flow, particle tracking","[{'subject': 'Sediment transport, bedload, experimental, segregation, two-phase flow, granular flow, particle tracking'}]",,
-10.34847/nkl.9cd8hi4k,"Paris IX borough: isovists, Min. ellipse, descriptors",NAKALA - https://nakala.fr (Huma-Num - CNRS),2020,,Dataset,,,api,True,findable,0,0,0,0,0,2022-12-16T09:53:17.000Z,2022-12-16T09:53:17.000Z,inist.humanum,jbru,,,['1782223 Bytes'],['application/zip']
-10.6084/m9.figshare.c.6606032,ICU admission for solid cancer patients treated with immune checkpoint inhibitors,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Immune checkpoint inhibitors (ICI) have revolutionized the management of cancer. They can induce immune-related adverse events (irAE) leading to intensive care unit (ICU) admission. We aimed to describe irAEs for ICU admissions in solid cancer patients treated with ICIs. Methods This prospective multicenter study was conducted in France and Belgium. Adult patients with solid tumor and treated with systemic ICIs within the last 6 months, requiring non-programmed ICU admission were included. Patients admitted for microbiologically documented sepsis were excluded. Imputability of irAEs in ICU admissions was described according to the WHO-UMC classification system at ICU admission and at ICU discharge. The use of immunosuppressant treatment was reported. Results 115 patients were eligible. Solid tumor was mainly lung cancer (n = 76, 66%) and melanoma (n = 18, 16%). They were mainly treated with an anti-PD-(L)1 alone (n = 110, 96%). Main ICU admission reasons were acute respiratory failure (n = 66, 57%), colitis (n = 14, 13%), and cardiovascular disease (n = 13, 11%). ICU admission was considered â€œlikelyâ€ associated with irAE for 48% (n = 55) of patients. Factors independently associated with irAE were a good ECOG performance status (PS) (ECOG-PS of 0 or 1 vs. ECOG-PS of 2â€“3, odds ratio [OR] = 6.34, 95% confidence interval [95% CI] 2.13â€“18.90, and OR = 3.66, 95% CI 1.33â€“10.03, respectively), and a history of irAE (OR = 3.28, 95% CI 1.19â€“9.01). Steroids were prescribed for 41/55 (75%) patients with ICU admission â€œlikelyâ€ related to irAE. Three patients were subsequently treated with immunosuppressants. Conclusion IrAEs accounted for half of ICU admissions in cancer patients receiving ICIs. They could be treated with steroids. Identifying the imputability of irAEs in ICU admissions remains a challenge.",mds,True,findable,0,0,0,0,0,2023-04-19T03:54:42.000Z,2023-04-19T03:54:43.000Z,figshare.ars,otjm,"Medicine,Pharmacology,Biotechnology,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Immunology,FOS: Clinical medicine,Cancer","[{'subject': 'Medicine'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}]",,
-10.26302/sshade/experiment_ak_20141124_1,Mid-infrared attenuated total reflectance experiment with Ca+ exchanged less 0.1 Î¼m size fraction of montmorillonite (SWy-2) equilibrated with H2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:20:07.000Z,2022-11-04T08:20:08.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Ca-exchanged montmorillonite SWy-2 size-fraction &lt;0.1 Âµm,liquid,H2O deionized,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Ca-exchanged montmorillonite SWy-2 size-fraction &lt;0.1 Âµm'}, {'subject': 'liquid'}, {'subject': 'H2O deionized'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['9 spectra'],['ASCII']
-10.26302/sshade/experiment_sb_20200814_001,Optical constants in the MIR and FIR for a natural perovskite crystal,SSHADE/DOCCD (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-01-05T14:11:05.000Z,2021-01-05T14:11:06.000Z,inist.sshade,mgeg,"natural terrestrial,oxide-hydroxide,Perovskite,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Perovskite'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.7941767,"Supplementary to ""A finite-element framework to explore the numerical solution of the coupled problem of heat conduction, water vapor diffusion and settlement in dry snow  (IvoriFEM v0.1.0)""",Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,"This folder contains the source code of the homemade python-based finite-element model at the version used to generate the results of (to be submitted) ""A finite-element framework to explore the numerical solution of the coupled problem of heat conduction, water vapor diffusion and settlement in dry snow"".
-
-
-For setting up the environment and running the simulations, please follow the instructions described in the README file. We highly recommendÂ  that potential future users and developers access the code from its Git repository (https://github.com/jbrondex/ivori_model_homemadefem, last access: 16 May 2023) to benefit from the last version of the code. The version which has been saved here is tagged v0.1.0.",mds,True,findable,0,0,0,0,0,2023-05-16T15:37:56.000Z,2023-05-16T15:37:57.000Z,cern.zenodo,cern,"snow modeling,heat conduction in snow,vapor diffusion in snow","[{'subject': 'snow modeling'}, {'subject': 'heat conduction in snow'}, {'subject': 'vapor diffusion in snow'}]",,
-10.26302/sshade/experiment_jd_20171122_001,Ni K edge XAS transmission and XAS fluorescence of Ni complexes (with cysteine-rich ligands) at 10K,SSHADE/FAME (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Study of Ni complexes based on tripodal cysteine-rich ligands at different pH,mds,True,findable,0,0,0,0,0,2019-11-15T07:39:05.000Z,2019-11-15T07:39:05.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,anhydrous salt,NiL(N2S2),hydrated salt,Nickel(II) acetylacetonate dihydrate,Nickel(cyclam), 2Cl,molecular solid solution,Frozen solution of $Ni (H_2O)_6 SO_4$,Nickel(cyclam)acetonitrile perchlorate,Frozen solution of $Ni NTA(CysNH_2)_3$ at pH=7.5,Frozen solution of $Ni NTA(CysNH_2)_3$ at pH=9.6,laboratory measurement,transmission,None,hard X,hard X-rays,fluorescence emission","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'anhydrous salt'}, {'subject': 'NiL(N2S2)'}, {'subject': 'hydrated salt'}, {'subject': 'Nickel(II) acetylacetonate dihydrate'}, {'subject': 'Nickel(cyclam), 2Cl'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of $Ni (H_2O)_6 SO_4$'}, {'subject': 'Nickel(cyclam)acetonitrile perchlorate'}, {'subject': 'Frozen solution of $Ni NTA(CysNH_2)_3$ at pH=7.5'}, {'subject': 'Frozen solution of $Ni NTA(CysNH_2)_3$ at pH=9.6'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'fluorescence emission'}]",['7 spectra'],['ASCII']
-10.5281/zenodo.7590005,The representation of sea salt aerosols and their role in polar climate within CMIP6,Zenodo,2023,,Software,Open Access,"Plotting scripts and data for the paper ""The representation of sea salt aerosols and their role in polar climate within CMIP6"", JGR: Atmospheres, Lapere et al., 2023.",mds,True,findable,0,0,0,0,0,2023-01-31T14:09:59.000Z,2023-01-31T14:09:59.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5913981,artefact for ESOP2022 paper The Trusted Computing Base of the CompCert Verified Compiler.,Zenodo,2022,en,Software,Open Access,Coq source code demonstrating the examples in our ESOP 2022 paper <em>The Trusted Computing Base of the CompCert Verified Compiler</em>. Comes with a Docker container with a complete Coq installation.,mds,True,findable,0,0,0,0,0,2022-01-28T14:02:09.000Z,2022-01-28T14:02:10.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6074472,Multi-method monitoring of rockfall activity along the classic route up Mont Blanc (4809ma.s.l.) to encourage adaptation by mountaineers,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The file Mourey et al._NHESS_2021_128.xlsx gathers the data used in the article ""Multi-method monitoring of rockfall activity along the classic route up Mont Blanc (4809ma.s.l.) to encourage adaptation by mountaineers"" at an hourly time scale.",mds,True,findable,0,0,0,1,0,2022-02-14T09:18:54.000Z,2022-02-14T09:18:55.000Z,cern.zenodo,cern,"Mountaineering,Monitoring,Adaptation,Climate change,High mountain","[{'subject': 'Mountaineering'}, {'subject': 'Monitoring'}, {'subject': 'Adaptation'}, {'subject': 'Climate change'}, {'subject': 'High mountain'}]",,
-10.5281/zenodo.8308027,"Analysis of life span of H2 outgassing, volume of rock and porosity relationship",Zenodo,2023,en,Software,Closed Access,"Matlab Script where we plot three scenarios that could account for the observed native H2 flow rate, emphasizing the respective roles of the fault zone, the mineâ€™s drainage volume, and the entire ophiolite massif.",mds,True,findable,0,0,0,0,0,2023-09-01T10:35:02.000Z,2023-09-01T10:35:02.000Z,cern.zenodo,cern,Geosciences; Native Hydrogen; Natural Hydrogen; Matlab;,[{'subject': 'Geosciences; Native Hydrogen; Natural Hydrogen; Matlab;'}],,
-10.6084/m9.figshare.22613066,Additional file 1 of Digital technologies in routine palliative care delivery: an exploratory qualitative study with health care professionals in Germany,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Interview guide.,mds,True,findable,0,0,0,0,0,2023-04-13T12:27:56.000Z,2023-04-13T12:27:57.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,Science Policy","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['19572 Bytes'],
-10.5281/zenodo.10277631,Real space grids for def2-TZVP/def2-TZVP-RI basis sets resolution of the identity,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Real space grids (in Bohr) for def2-TZVP/def2-TZVP-RI basis sets resolution of the identity, as per described in the following works:
-1) ""Separable resolution-of-the-identity with all-electron Gaussian bases: Application to cubic-scaling RPA"", Â J. Chem. Phys. 150, 174120 (2019); https://doi.org/10.1063/1.5090605.
-2) ""Cubic-scaling all-electron GW calculations with a separable density-fitting space-time approach"", Â J. Chem. Theory Comput. 2021, 17, 2383âˆ’2393; https://doi.org/10.1021/acs.jctc.1c00101.",api,True,findable,0,0,0,0,0,2023-12-06T16:22:21.000Z,2023-12-06T16:22:21.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_vc_20050728_001,Vis-NIR reflectance spectra of Narbonne sand (NS 264) wetted with water and dried in ambiant air at 38Â°C,SSHADE/SSTONE (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","In order to investigate the spectral behavior of humidity on sand spectra, we have acquired laboratory reflectance spectra of a sand containing various proportion of water. Water was deposited on a dry sand (previously dried in an oven at 40Â°C during one night). During the experiment, the sample is then dried, under the sun at 38Â°C. A spectrum is acquired every 5 minutes with an ASD FieldSpec3FR. This experiment was done on Narbonne sand (NS 264)",mds,True,findable,0,0,0,0,0,2021-05-19T19:16:35.000Z,2021-05-19T19:16:36.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,Illite,Chlorite,liquid,Liquid water,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Illite'}, {'subject': 'Chlorite'}, {'subject': 'liquid'}, {'subject': 'Liquid water'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['29 spectra'],['ASCII']
-10.5281/zenodo.3696502,Pretrained parsing model for french with FlauBERT,Zenodo,2020,,Other,"Creative Commons Attribution 4.0 International,Open Access",Pretrained parsing models for French to use with https://github.com/mcoavoux/self-attentive-parser fork of https://github.com/nikitakit/self-attentive-parser parser. These are retrained models (results are slightly different from those reported in Flaubert paper https://arxiv.org/abs/1912.05372).,mds,True,findable,0,0,0,0,0,2020-03-04T09:38:15.000Z,2020-03-04T09:38:15.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5243362,Turkish DBnary archive in original Lemon format,Zenodo,2021,tr,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Turkish language edition, ranging from 8th July 2013 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry. <br>",mds,True,findable,0,0,0,0,0,2021-08-24T11:52:51.000Z,2021-08-24T11:52:52.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.7914/wqvg-2272,San Jacinto FaultScan Project,International Federation of Digital Seismograph Networks,2022,,Dataset,,Deployment of 300 nodes on PiÃ±on Flat in southern California,api,True,findable,0,0,0,0,0,2023-09-11T17:56:29.000Z,2023-09-11T17:56:29.000Z,iris.iris,iris,,,['10000000 MB'],['SEED data']
-10.5281/zenodo.3628203,Terrestrial Laser Scanner observations of snow depth distribution at Col du Lautaret and Col du Lac Blanc mountain sites,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains snow depth distribution observations obtained in two high mountain experimental sites, Col du Lac Blanc and Col du Lautaret, both located in French Alps. The snow depth distribution maps were generated using a Terrestrial Laser Scanner (TLS) for 10 acquisition dates. Observations obtained in Col du Lac Blanc were acquired in the 2014-15 snow season while Col du Lautaret observations were acquired in 2017-18 snow season. The snow depth maps have a grid cell size of 1x1m. The two study sites have extensions comprised between 17 and 31 ha with elevations ranging from 2000-2100 m a.s.l. (Col du Lautaret)and 2600-2800 m a.s.l. (Col du Lac Blanc)and show a patchy distribution of bare soil and alpine grass. The dataset allows a better understanding of snow related processes in mountain areas.",mds,True,findable,0,0,0,0,0,2020-01-27T11:25:40.000Z,2020-01-27T11:25:41.000Z,cern.zenodo,cern,"snow depth distribution, mountain sites, terrestrial laser scanner observations","[{'subject': 'snow depth distribution, mountain sites, terrestrial laser scanner observations'}]",,
-10.5281/zenodo.10534569,"La frÃ©quentation en bibliothÃ¨que : Normes d'Ã©valuation, outils de mesure et retours d'expÃ©rience",AFNOR,2023,fr,Text,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,1,2024-01-19T15:57:13.000Z,2024-01-19T15:57:13.000Z,cern.zenodo,cern,"Normalisation,FrÃ©quentation,BibliothÃ¨que,QualitÃ©,Statistiques,Evaluation","[{'subject': 'Normalisation'}, {'subject': 'FrÃ©quentation'}, {'subject': 'BibliothÃ¨que'}, {'subject': 'QualitÃ©'}, {'subject': 'Statistiques'}, {'subject': 'Evaluation'}]",,
-10.5281/zenodo.4303996,protopipe,Zenodo,2020,,Software,"CeCILL-B Free Software License Agreement,Open Access",Prototype data analysis pipeline for the Cherenkov Telescope Array (CTA) Observatory.,mds,True,findable,0,0,0,0,0,2020-12-03T13:18:57.000Z,2020-12-03T13:18:57.000Z,cern.zenodo,cern,"CTA,simulations,grid,pipeline,IACT,astronomy,gamma","[{'subject': 'CTA'}, {'subject': 'simulations'}, {'subject': 'grid'}, {'subject': 'pipeline'}, {'subject': 'IACT'}, {'subject': 'astronomy'}, {'subject': 'gamma'}]",,
-10.26302/sshade/experiment_gm_20220122,Raman spectra of some chlorate minerals,SSHADE/REAP (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,1,0,2022-01-22T15:02:21.000Z,2022-01-22T15:02:22.000Z,inist.sshade,mgeg,"commercial,perchlorate,Sodium perchlorate hydrate,Calcium perchlorate tetrahydrate,laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,FIR,Far-Infrared,normalized Raman scattering intensity","[{'subject': 'commercial'}, {'subject': 'perchlorate'}, {'subject': 'Sodium perchlorate hydrate'}, {'subject': 'Calcium perchlorate tetrahydrate'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'normalized Raman scattering intensity'}]",['2 spectra'],['ASCII']
-10.26302/sshade/experiment_ak_20141111_1,Mid-infrared attenuated total reflectance experiment with K+ exchanged less 2 Î¼m size fraction of montmorillonite (SAz-2) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:19:26.000Z,2022-11-04T08:19:26.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,K-exchanged montmorillonite SAz-2 size-fraction &lt;2 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'K-exchanged montmorillonite SAz-2 size-fraction &lt;2 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['5 spectra'],['ASCII']
-10.6084/m9.figshare.c.6771537,"Supplementary material from ""Mirror exposure following visual body-size adaptation does not affect own body image""",The Royal Society,2023,,Collection,Creative Commons Attribution 4.0 International,"Prolonged visual exposure to large bodies produces a thinning aftereffect on subsequently seen bodies, and vice versa. This visual adaptation effect could contribute to the link between media exposure and body shape misperception. Indeed, people exposed to thin bodies in the media, who experience fattening aftereffects, may internalize the distorted image of their body they see in the mirror. This preregistered study tested this internalization hypothesis by exposing 196 young women to an obese adaptor before showing them their reflection in the mirror, or to a control condition. Then, we used a psychophysical task to measure the effects of this procedure on perceptual judgements about their own body size, relative to another body and to the control mirror exposure condition. We found moderate evidence against the hypothesized self-specific effects of mirror exposure on perceptual judgements. Our work strengthens the idea that body size adaptation affects the perception of test stimuli rather than the participants' own body image. We discuss recent studies which may provide an alternative framework to study media-related distortions of perceptual body image.",mds,True,findable,0,0,0,0,0,2023-08-02T11:18:30.000Z,2023-08-02T11:18:31.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",,
-10.5281/zenodo.6985564,Observation of non-Hermitian topology in a multi-terminal quantum Hall device,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",This repository contains our measurements and the codes used to produce the figures of the manuscript/supplementary information.,mds,True,findable,0,0,0,0,0,2022-08-12T15:48:48.000Z,2022-08-12T15:48:49.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.1194786,Ultraspeechdataset2017,Zenodo,2018,fr,Dataset,"Creative Commons Attribution 4.0,Open Access","Ultrasound/Audio databases related to (Fabre et al., Speech Communication, 2017) â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”â€”
-
-HOW-to-CITE: 
-
-Fabre, D., Hueber, T., Girin, L., Alameda-Pineda, X., Badin, P., (2017) ""Automatic animation of an articulatory tongue model from ultrasound images of the vocal tract"", Speech Communication, vol. 93, pp. 63-75
-
-These databases are distributed in the hope that they will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
-
-CONTENT: 
-
-- (unzip first) Ultrasound/Audio data (synchronized) for three native French speakers (2 male speakers (PB and TH), one female speaker (DF)), recorded using Ultraspeech software (www.ultraspeech.com). Data acquisition protocol is described in (Fabre et al., Speech Communication, 2017). More information on the Ultraspeech acquisition system can be found at www.ultraspeech.com and in (Hueber et al., ISSP 2008). 
-
-- audio_capture/, ultrasound_capture/ directories contain audio/ultrasound data (one folder per sentence).  Ultrasound data are 640x480 jpeg images (with 100% quality during compression) recorded at 60 fps. Audio files are in WAV format, 44.1 kHz, 32 bits. Text files in audio directory contain the text prompt for each recorded item. 
-
-*** WARNING *** : Item 418 of speaker PB is missing. 
-
- 
-
-Thomas Hueber, Ph. D., CNRS researcher, GIPSA-lab (Grenoble, France), thomas.hueber@gipsa-lab.fr",,True,findable,0,0,0,0,0,2018-03-09T14:45:01.000Z,2018-03-09T14:45:02.000Z,cern.zenodo,cern,"ultrasound, speech, articulation, ultraspeech, biofeedback","[{'subject': 'ultrasound, speech, articulation, ultraspeech, biofeedback'}]",,
-10.15778/resif.xz2020,"DEEP_TRIGGER temporary experiment in the subduction zone Peru/Chile, Chile (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2020,,Dataset,,"Preparation of subduction Earthquakes : Slow, Deep, Large-scale trigger. DeepTrigger is a project funded by the European Research Council. The aim of the project is to study the preparation of subduction earthquakes in the Chile/Peru subduction area. The seismological network deployed in Chile (XZ network) is composed of 25 stations medium-band velocimeter (Guralp CMG40-60s and Nanometrics Trillium-Compact-PostHole-20s). Those 25 stations will be deployed during ~3 years in middle area of Chile (Network code XZ) from mid-2021 to mid-2024. The targeted area in North-Central Chile (27Â°S-30Â°S) is located just north of the 2015 Illapel rupture. It is a recognized â€˜seismic gapâ€™, where the last earthquakes of Mw8.5+ occurred in1819 and 1922, and where a future large event is to be expected. The area is characterized by an interseismic coupling that evolves from low in the south to high in the north (MÃ©tois et al., 2018), and where deep slow slip events have been recently discovered (Klein et al., 2018). This is therefore an excellent target to study the preparation of a future large earthquake, the lateral interactions between large seismic ruptures, and the link between slow slip and the seismic response to slow slip. The installed seismological network will provide key data to investigate these questions. Precise catalogues of seismicity will be generated, in which swarm, repeaters and clusters will be identified and analysed. LFEs and tremors will also be systematically scanned, catalogued and analysed.",fabrica,True,findable,0,0,0,0,0,2023-03-01T20:34:07.000Z,2023-03-01T20:35:02.000Z,inist.resif,vcob,"Seismology,Subduction,Earthquake,Chile,South America","[{'subject': 'Seismology'}, {'subject': 'Subduction'}, {'subject': 'Earthquake'}, {'subject': 'Chile'}, {'subject': 'South America'}]","['26 stations, 203Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.5281/zenodo.3759385,"Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation - Model Weights - SC+WNGC, hypernyms, single",Zenodo,2019,,Other,"Creative Commons Attribution 4.0 International,Open Access","This is the weights of the neural WSD model used in the article named ""Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation"" by LoÃ¯c Vial, Benjamin Lecouteux, Didier Schwab. This is a single model trained on the SemCor+WNGC corpora and using the sense vocabulary compression through hypernyms described in the paper.",mds,True,findable,11,0,0,0,0,2020-04-21T13:34:04.000Z,2020-04-21T13:34:05.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_lb_20200108_001,"UV-Vis-IR reflectance spectra (i=10Â°, e=20Â°, az=180Â°) of bulk CM and CR chondrites under vacuum",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","UV-Vis-IR reflectance spectra (i=10Â°, e=20Â°, az=180Â°) of bulk CM and CR chondrites under vacuum",mds,True,findable,0,0,0,0,0,2020-01-08T13:10:53.000Z,2020-01-08T13:10:54.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CR,complex organic-mineral mix,matrix EET92159,complex mineral mix,chondrules EET92159,CAIs EET92159,matrix GRA06100 IPAG,chondrules GRA06100 IPAG,CAIs GRA06100 IPAG,matrix GRO03116 IPAG,chondrules GRO03116 IPAG,CAIs GRO03116 IPAG,matrix GRO95577 IPAG,chondrules GRO95577 IPAG,CAIs GRO95577 IPAG,CV,matrix RBT04133 IPAG,chondrules RBT04133 IPAG,CAIs RBT04133 IPAG,CM,matrix ALH83100 IPAG,chondrules ALH83100 IPAG,CAIs ALH83100 IPAG,matrix ALH84044 IPAG,chondrules ALH84044 IPAG,CAIs ALH84044 IPAG,matrix DOM08003 IPAG,chondrules DOM08003 IPAG,CAIs DOM08003 IPAG,matrix LAP02336 IPAG,chondrules LAP02336 IPAG,CAIs LAP02336 IPAG,matrix LAP03718 IPAG,chondrules LAP03718 IPAG,CAIs EET83355 IPAG,matrix LEW85311 IPAG,chondrules LEW85311 IPAG,CAIs LEW85311 IPAG,matrix LEW85312 IPAG,chondrules LEW85312 IPAG,CAIs LEW85312 IPAG,matrix LEW87022 IPAG,chondrules LEW87022 IPAG,CAIs LEW87022 IPAG,matrix LON94101 IPAG,chondrules LON94101 IPAG,CAIs LON94101 IPAG,matrix MCY05230 IPAG,chondrules MCY05230 IPAG,CAIs MCY05230 IPAG,matrix MET01070 IPAG,chondrules MET01070 IPAG,CAIs MET01070 IPAG,matrix QUE97990 IPAG,chondrules QUE97990 IPAG,CAIs QUE97990 IPAG,matrix ALH84033 IPAG,chondrules ALH84033 IPAG,CAIs ALH84033 IPAG,matrix EET87522 IPAG,chondrules EET87522 IPAG,CAIs EET87522 IPAG,matrix MAC88100 IPAG,chondrules MAC88100 IPAG,CAIs MAC88100 IPAG,matrix MIL07700 IPAG,chondrules MIL07700 IPAG,CAIs MIL07700 IPAG,matrix PCA02010 IPAG,chondrules PCA02010 IPAG,CAIs PCA02010 IPAG,matrix PCA02012 IPAG,chondrules PCA02012 IPAG,CAIs PCA02012 IPAG,laboratory measurement,bidirectional reflection,macroscopic,UV,Ultraviolet,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,FIR,Far-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CR'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix EET92159'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules EET92159'}, {'subject': 'CAIs EET92159'}, {'subject': 'matrix GRA06100 IPAG'}, {'subject': 'chondrules GRA06100 IPAG'}, {'subject': 'CAIs GRA06100 IPAG'}, {'subject': 'matrix GRO03116 IPAG'}, {'subject': 'chondrules GRO03116 IPAG'}, {'subject': 'CAIs GRO03116 IPAG'}, {'subject': 'matrix GRO95577 IPAG'}, {'subject': 'chondrules GRO95577 IPAG'}, {'subject': 'CAIs GRO95577 IPAG'}, {'subject': 'CV'}, {'subject': 'matrix RBT04133 IPAG'}, {'subject': 'chondrules RBT04133 IPAG'}, {'subject': 'CAIs RBT04133 IPAG'}, {'subject': 'CM'}, {'subject': 'matrix ALH83100 IPAG'}, {'subject': 'chondrules ALH83100 IPAG'}, {'subject': 'CAIs ALH83100 IPAG'}, {'subject': 'matrix ALH84044 IPAG'}, {'subject': 'chondrules ALH84044 IPAG'}, {'subject': 'CAIs ALH84044 IPAG'}, {'subject': 'matrix DOM08003 IPAG'}, {'subject': 'chondrules DOM08003 IPAG'}, {'subject': 'CAIs DOM08003 IPAG'}, {'subject': 'matrix LAP02336 IPAG'}, {'subject': 'chondrules LAP02336 IPAG'}, {'subject': 'CAIs LAP02336 IPAG'}, {'subject': 'matrix LAP03718 IPAG'}, {'subject': 'chondrules LAP03718 IPAG'}, {'subject': 'CAIs EET83355 IPAG'}, {'subject': 'matrix LEW85311 IPAG'}, {'subject': 'chondrules LEW85311 IPAG'}, {'subject': 'CAIs LEW85311 IPAG'}, {'subject': 'matrix LEW85312 IPAG'}, {'subject': 'chondrules LEW85312 IPAG'}, {'subject': 'CAIs LEW85312 IPAG'}, {'subject': 'matrix LEW87022 IPAG'}, {'subject': 'chondrules LEW87022 IPAG'}, {'subject': 'CAIs LEW87022 IPAG'}, {'subject': 'matrix LON94101 IPAG'}, {'subject': 'chondrules LON94101 IPAG'}, {'subject': 'CAIs LON94101 IPAG'}, {'subject': 'matrix MCY05230 IPAG'}, {'subject': 'chondrules MCY05230 IPAG'}, {'subject': 'CAIs MCY05230 IPAG'}, {'subject': 'matrix MET01070 IPAG'}, {'subject': 'chondrules MET01070 IPAG'}, {'subject': 'CAIs MET01070 IPAG'}, {'subject': 'matrix QUE97990 IPAG'}, {'subject': 'chondrules QUE97990 IPAG'}, {'subject': 'CAIs QUE97990 IPAG'}, {'subject': 'matrix ALH84033 IPAG'}, {'subject': 'chondrules ALH84033 IPAG'}, {'subject': 'CAIs ALH84033 IPAG'}, {'subject': 'matrix EET87522 IPAG'}, {'subject': 'chondrules EET87522 IPAG'}, {'subject': 'CAIs EET87522 IPAG'}, {'subject': 'matrix MAC88100 IPAG'}, {'subject': 'chondrules MAC88100 IPAG'}, {'subject': 'CAIs MAC88100 IPAG'}, {'subject': 'matrix MIL07700 IPAG'}, {'subject': 'chondrules MIL07700 IPAG'}, {'subject': 'CAIs MIL07700 IPAG'}, {'subject': 'matrix PCA02010 IPAG'}, {'subject': 'chondrules PCA02010 IPAG'}, {'subject': 'CAIs PCA02010 IPAG'}, {'subject': 'matrix PCA02012 IPAG'}, {'subject': 'chondrules PCA02012 IPAG'}, {'subject': 'CAIs PCA02012 IPAG'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'UV'}, {'subject': 'Ultraviolet'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'reflectance factor'}]",['23 spectra'],['ASCII']
-10.26302/sshade/bandlist_raman_barytocalcite,Raman bandlist of Barytocalcite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Barytocalcite at 295K,mds,True,findable,0,0,0,0,0,2023-12-26T13:59:24.000Z,2023-12-26T13:59:25.000Z,inist.sshade,mgeg,"Barytocalcite,Barium cation,Calcium cation,Carbonate anion,Barium(2+) cation,Calcium(2+) cation,22541-12-4,14127-61-8,Ba2+,Ca2+,(CO3)2-,BaCa(CO3)2,Barytocalcite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,-Barytocalcite- group,14.02.06.01,05.AB.45,Raman scattering,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Barytocalcite', 'subjectScheme': 'name'}, {'subject': 'Barium cation', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Barium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '22541-12-4', 'subjectScheme': 'CAS number'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': 'Ba2+', 'subjectScheme': 'formula'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'BaCa(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'Barytocalcite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': '-Barytocalcite- group', 'subjectScheme': 'Dana group'}, {'subject': '14.02.06.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.45', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5281/zenodo.10014634,Mining tortured acronyms from the scientific literature,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2023-10-17T19:30:51.000Z,2023-10-17T19:30:51.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5285177,New estimation of the NOx snow-source on the Antarctic Plateau - repository dataset,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Notebook and data set used to present the results. For more information, please, do not hesitate to contact the corresponding author to this study.",mds,True,findable,0,0,0,0,0,2021-08-27T13:13:55.000Z,2021-08-27T13:13:56.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10053092,COSIPY distributed simulations of Mera Glacier mass and energy balance (20161101-20201101),Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Creative Commons Attribution Share Alike 4.0 International","The four netCDF files contain outputs from COSIPY model (Sauter et al., 2020) for Mera Glacier for the period 20161101 to 20201101. The model is run on a 0.003Â°*0.003Â° grid, and forced with meteological variables collected locally and distributed with constant gradients. The ""constants.py"" is the python file that contains the specific model settings.",api,True,findable,0,0,0,0,0,2023-10-30T09:06:59.000Z,2023-10-30T09:06:59.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.16851096,Additional file 19 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 19: Fig. S13. Hematoxylin and eosin labeling of lung metastases after injection of HeLa clones. Representative H&amp;E labeling of lung metastases after i.v injection of CTR, WT, and KD HeLa clones. Scale bar, 5â€‰mm.",mds,True,findable,0,0,93,1,0,2021-10-22T04:04:51.000Z,2021-10-22T04:04:53.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['7855720 Bytes'],
-10.5061/dryad.c866t1g49,Ecological specialization and niche overlap of subterranean rodents inferred from DNA metabarcoding diet analysis,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Knowledge of how animal species use food resources available in the environment increases our understanding of ecological processes. However, obtaining this information using traditional methods is a hard task for species feeding on a large variety of food items in highly diverse environments. We amplified the DNA of plants for 306 scat and 40 soil samples, and applied an eDNA metabarcoding approach to investigate food preferences, degree of diet specialization and diet overlap of seven herbivore rodent species of the Ctenomys genus distributed in southern and midwestern Brazil. The metabarcoding approach revealed that species consume more than 60% of the plant families recovered in soil samples, indicating generalist feeding habits of ctenomyids. The Poaceae family was the most common food resource retrieved in scats of all species as well in soil samples. Niche overlap analysis indicated high overlap in the plant families and Molecular Operational Taxonomic Units consumed, mainly among the southern species. Interspecific difference in diet composition was influenced, among other factors, by the availability of resources in the environment. In addition, our results provide support for the hypothesis that the allopatric distributions of ctenomyids allow them to exploit the same range of resources when available, possibly because of the absence of interspecific competition.",mds,True,findable,489,322,0,0,0,2020-08-10T15:12:13.000Z,2020-08-10T15:12:14.000Z,dryad.dryad,dryad,,,['7824034241 bytes'],
-10.5281/zenodo.8271121,Artifact for Dynamic Program Analysis with Flexible Instrumentation and Complex Event Processing,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the source code for the integration layer between <code>BISM</code> and <code>BeepBeep</code>. For more about these tools, BISM is a lightweight bytecode instrumentation tool for Java programs and BeepBeep is a complex event stream query engine. The repo also contains the examples analyses that we implemented and the experiments we conducted. The tool and experiments presented in this repository are discussed in the following publication: C. Soueidi, Y. Falcone, and S. HallÃ©. (2023). Dynamic Program Analysis with Flexible Instrumentation and Complex Event Processing. Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023). IEEE.",mds,True,findable,0,0,0,0,0,2023-08-21T23:14:32.000Z,2023-08-21T23:14:33.000Z,cern.zenodo,cern,"dynamic program analysis,instrumentation,JVM-based languages,complex event processing","[{'subject': 'dynamic program analysis'}, {'subject': 'instrumentation'}, {'subject': 'JVM-based languages'}, {'subject': 'complex event processing'}]",,
-10.5281/zenodo.1475906,Third Harmonic Generation Images Of The Lacuno-Canalicular Network In Bone Femoral Diaphysis Of Mice From The Bionm1 Project (Space Flight),Zenodo,2018,,Dataset,"Creative Commons Attribution 4.0,Open Access","Data set for 11 samples in 3 groups of Control, Space Flight and Synchro (ground control with space flight housing and feeding conditions). Contains THG images in tif format of 2D mosaic of selected samples and 3D stacks in selected anatomical regions of interest. See readme file for more information.",mds,True,findable,0,0,0,0,0,2018-10-31T16:24:03.000Z,2018-10-31T16:24:04.000Z,cern.zenodo,cern,"THG, bone, osteocyte, LCN, lacunae, canaliculi, space flight","[{'subject': 'THG, bone, osteocyte, LCN, lacunae, canaliculi, space flight'}]",,
-10.17178/amma-catch.ce.vegsoil_gh,"Vegetation dataset (seasonal physiological functioning of woody vegetation), within the Hombori site (2500 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Parametrization of surface models (SVAT and vegetation), intra and inter-specific variability of vegetation growth and physiological functionning (herbaceous and woody) in response to the variation of rainfall and soil moisture in Gourma (Mali). Interspecific variability of root dynamics. Documentation of the soil characteristics (texture, characteristic curves, infiltration...). These measurements are required for a better parameterization of the response of vegetation and soils to climatic forcings and for water fluxes simulation. These data will provide the basic parameters for the initialization of the surface-atmosphere exchange models. Links with atmospheric chemistry (soil emissions and deposits).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:07.000Z,2018-03-16T15:37:08.000Z,inist.osug,jbru,"Phenology, leaf water potentiel,Sahelian/Saharan climate,Leaf Water Potential (leaf 3),Leaf Water Potential (leaf 1),Phenological State/Leafing State,Phenological State/Flowering State,Leaf Water Potential (leaf 2),Phenological State/Fruiting State","[{'subject': 'Phenology, leaf water potentiel', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Leaf Water Potential (leaf 3)', 'subjectScheme': 'var'}, {'subject': 'Leaf Water Potential (leaf 1)', 'subjectScheme': 'var'}, {'subject': 'Phenological State/Leafing State', 'subjectScheme': 'var'}, {'subject': 'Phenological State/Flowering State', 'subjectScheme': 'var'}, {'subject': 'Leaf Water Potential (leaf 2)', 'subjectScheme': 'var'}, {'subject': 'Phenological State/Fruiting State', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.2625730,Infinite Grid Exploration by Disoriented Robots : The animations,Zenodo,2019,,Software,"CeCILL-B Free Software License Agreement,Open Access",Description of three infinite grid exploration algorithms The published HTML pages allows the viewer to see the first 100 rounds of the algorithms.,mds,True,findable,0,0,0,0,0,2019-05-24T09:05:44.000Z,2019-05-24T09:05:44.000Z,cern.zenodo,cern,"Mobile robots,Graph exploration","[{'subject': 'Mobile robots'}, {'subject': 'Graph exploration'}]",,
-10.5281/zenodo.6532308,Micromagnetics of magnetic chemical modulations in soft-magnetic cylindrical nanowires,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Abstract: We analyze the micromagnetics of short longitudinal modulations of a high magnetization material in cylindrical nanowires made of a soft-magnetic material of lower magnetization such as Permalloy, combining magnetic microscopy, analytical modeling and micromagnetic simulations. The mismatch of magnetization induces curling of magnetization around the axis in the modulations, in an attempt to screen the interfacial magnetic charges. The curling angle increases with modulation length, until a plateau is reached with nearly full charge screening for a specific length scale, larger than the dipolar exchange length of any of the two materials. The curling circulation can be switched by the Å’rsted field arising from a charge current with typical magnitude 10<sup>12</sup>A/m<sup>2</sup>.",mds,True,findable,0,0,0,0,0,2022-05-09T13:36:09.000Z,2022-05-09T13:36:11.000Z,cern.zenodo,cern,"nanomagnetism, nanowire, micromagnetics, magnetization dynamics, magnetic microscopy","[{'subject': 'nanomagnetism, nanowire, micromagnetics, magnetization dynamics, magnetic microscopy'}]",,
-10.5281/zenodo.3354711,MaSS - Multilingual corpus of Sentence-aligned Spoken utterances,Zenodo,2019,,Dataset,"MIT License,Open Access","<strong>Abstract</strong> The CMU Wilderness Multilingual Speech Dataset is a newly published multilingual speech dataset based on recorded readings of the New Testament. It provides data to build Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) models for potentially 700 languages. However, the fact that the source content (the Bible), is the same for all the languages is not exploited to date. Therefore, this article proposes to add multilingual links between speech segments in different languages, and shares a large and clean dataset of 8,130 para-lel spoken utterances across 8 languages (56 language pairs).We name this corpus MaSS (Multilingual corpus of Sentence-aligned Spoken utterances). The covered languages (Basque, English, Finnish, French, Hungarian, Romanian, Russian and Spanish) allow researches on speech-to-speech alignment as well as on translation for syntactically divergent language pairs. The quality of the final corpus is attested by human evaluation performed on a corpus subset (100 utterances, 8 language pairs). Paper | GitHub Repository containing the scripts needed to build the data set from scratch (if needed) <strong>Project structure</strong> This repository contains 8 Numpy files, one for each featured language, pickled with Python 3.6. Each line corresponds to the spectrogram of the file mentioned in the file <em>verses.csv</em>. There is a direct mapping between the ID of the verse and its index in the list (thus verse with ID 5634 is located at index 5634 in the Numpy file). Verses not available for a given language (as stated by the value ""Not Available"" in the CSV file) are represented by empty lists in the Numpy files, thus ensuring a perfect verse-to-verse alignement between each file. Spectrogram were extracted using Librosa with the following parameters: <pre><code>Pre-emphasis = 0.97 Sample rate = 16000 Window size = 0.025 Window stride = 0.01 Window type = 'hamming' Mel coefficients = 40 Min frequency = 20</code></pre>",mds,True,findable,0,0,0,0,0,2019-07-30T10:39:20.000Z,2019-07-30T10:39:21.000Z,cern.zenodo,cern,"parallel speech corpus, multilingual alignment, speech-to-speech alignment, speech-to-speech translation","[{'subject': 'parallel speech corpus, multilingual alignment, speech-to-speech alignment, speech-to-speech translation'}]",,
-10.5281/zenodo.3627732,FlauBERT: Unsupervised Language Model Pre-training for French,Zenodo,2019,fr,Other,"Creative Commons Attribution 4.0 International,Open Access",Unsupervised Language Model Pre-training for French,mds,True,findable,0,0,0,0,0,2020-01-25T22:42:24.000Z,2020-01-25T22:42:25.000Z,cern.zenodo,cern,"Language model, BERT, Transformer, French","[{'subject': 'Language model, BERT, Transformer, French'}]",,
-10.5281/zenodo.10165853,Thickness map of the Patagonian Icefields,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Ice thickness field for the Patagonian icefields relying on mass-conservation approach, which assimilates both glacier retreat data as well as an abundant record of direct thickness measurements. The thickness map has a time stamp of 2000. This map is provided together with error estimates and the basal topography beneath the icefields based on c-SRTM (v2.1) (Farr, T. et al. The Shuttle Radar Topography Mission. Reviews of Geophysics 45 (2007), http://dx.doi.org/10.1029/2005RG000183.)",api,True,findable,0,0,0,0,0,2023-11-21T10:31:13.000Z,2023-11-21T10:31:14.000Z,cern.zenodo,cern,"Patagonia,glacier,icefield,thickness","[{'subject': 'Patagonia'}, {'subject': 'glacier'}, {'subject': 'icefield'}, {'subject': 'thickness'}]",,
-10.5281/zenodo.4498331,Results of ISMIP6 CMIP6 forced simulations: a multi-model ensemble of the Greenland and Antarctic ice sheet evolution over the 21st century,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This archive provides the ice sheet model outputs produced as part of the publication ""Payne et al. 2021 Future sea level change under CMIP5 and CMIP6 scenarios from the Greenland and Antarctic ice sheets"", published in GRL Contact: Tony Payne a.j.payne@bristol.ac.uk, Sophie Nowicki sophien@buffalo.edu, ismip6@gmail.com <br> Further information on ISMIP6 can be found here:<br> http://www.climate-cryosphere.org/activities/targeted/ismip6<br> http://www.climate-cryosphere.org/wiki/index.php?title=ISMIP6-Projections-Antarctica<br> http://www.climate-cryosphere.org/wiki/index.php?title=ISMIP6-Projections-Greenland Data usage notice:<br> If you use any of these results, please acknowledge the work of the people involved in the process producing this data set. Acknowledgements should have language similar to the below (if you only use CMIP5 forcing, remove CMIP6 and vice versa). â€œWe thank the Climate and Cryosphere (CliC) effort, which provided support for ISMIP6 through sponsoring of workshops, hosting the ISMIP6 website and wiki, and promoted ISMIP6. We acknowledge the World Climate Research Programme, which, through it's Working Group on Coupled Modelling, coordinated and promoted CMIP5 and CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the CMIP data and providing access, the University at Buffalo for ISMIP6 data distribution and upload, and the multiple funding agencies who support CMIP5 and CMIP6 and ESGF. We thank the ISMIP6 steering committee, the ISMIP6 model selection group and ISMIP6 dataset preparation group for their continuous engagement in defining ISMIP6."" You should also refer to and cite the following papers: For Greenland datasets Heiko Goelzer, Sophie Nowicki, Anthony Payne, Eric Larour, Helene Seroussi, William H. Lipscomb, Jonathan Gregory, Ayako Abe-Ouchi, Andy Shepherd, Erika Simon, Cecile Agosta, Patrick Alexander, Andy Aschwanden, Alice Barthel, Reinhard Calov, Christopher Chambers, Youngmin Choi, Joshua Cuzzone, Christophe Dumas, Tamsin Edwards, Denis Felikson, Xavier Fettweis, Nicholas R. Golledge, Ralf Greve, Angelika Humbert, Philippe Huybrechts, Sebastien Le clec'h, Victoria Lee, Gunter Leguy, Chris Little, Daniel P. Lowry, Mathieu Morlighem, Isabel Nias, Aurelien Quiquet, Martin RÃ¼ckamp, Nicole-Jeanne Schlegel, Donald Slater, Robin Smith, Fiamma Straneo, Lev Tarasov, Roderik van de Wal, and Michiel van den Broeke: The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6 , The Cryosphere, 2020. doi:10.5194/tc-2019-319 Slater, D. A., Felikson, D., Straneo, F., Goelzer, H., Little, C. M., Morlighem, M., Fettweis, X., and Nowicki, S.: Twenty-first century ocean forcing of the Greenland ice sheet for modelling of sea level contribution , The Cryosphere, 14, 985â€“1008, https://doi.org/10.5194/tc-14-985-2020, 2020. Sophie Nowicki, Antony Payne, Heiko Goelzer, Helene Seroussi, William Lipscomb, Ayako Abe-Ouchi, Cecile Agosta, Patrick Alexander, Xylar Asay-Davis, Alice Barthel, Thomas Bracegirdle, Richard Cullather, Denis Felikson, Xavier Fettweis, Jonathan Gregory, Tore Hatterman, Nicolas Jourdain, Peter Kuipers Munneke, Eric Larour, Christopher Little, Mathieu Morlinghem, Isabel Nias, Andrew Shepherd, Erika Simon, Donald Slater, Robin Smith, Fiammetta Straneo, Luke Trusel, Michiel van den Broeke, and Roderik van de Wal: <br> Experimental protocol for sea level projections from ISMIP6 standalone ice sheet models, The Cryosphere, doi:10.5194/tc-2019-322, 2020. For Antarctica datasets Seroussi, H., Nowicki, S., Simon, E., Abe-Ouchi, A., Albrecht, T., Brondex, J., Cornford, S., Dumas, C., Gillet-Chaulet, F., Goelzer, H., Golledge, N. R., Gregory, J. M., Greve, R., Hoffman, M. J., Humbert, A., Huybrechts, P., Kleiner, T., Larour, E., Leguy, G., Lipscomb, W. H., Lowry, D., Mengel, M., Morlighem, M., Pattyn, F., Payne, A. J., Pollard, D., Price, S. F., Quiquet, A., Reerink, T. J., Reese, R., Rodehacke, C. B., Schlegel, N.-J., Shepherd, A., Sun, S., Sutter, J., Van Breedam, J., van de Wal, R. S. W., Winkelmann, R., and Zhang, T.: initMIP-Antarctica: an ice sheet model initialization experiment of ISMIP6, The Cryosphere, 13, 1441â€“1471, https://doi.org/10.5194/tc-13-1441-2019, 2019. Jourdain, N. C., Asay-Davis, X., Hattermann, T., Straneo, F., Seroussi, H., Little, C. M., and Nowicki, S.: A protocol for calculating basal melt rates in the ISMIP6 Antarctic ice sheet projections, The Cryosphere, 14, 3111â€“3134, https://doi.org/10.5194/tc-14-3111-2020, 2020. <br> Sophie Nowicki, Antony Payne, Heiko Goelzer, Helene Seroussi, William Lipscomb, Ayako Abe-Ouchi, Cecile Agosta, Patrick Alexander, Xylar Asay-Davis, Alice Barthel, Thomas Bracegirdle, Richard Cullather, Denis Felikson, Xavier Fettweis, Jonathan Gregory, Tore Hatterman, Nicolas Jourdain, Peter Kuipers Munneke, Eric Larour, Christopher Little, Mathieu Morlinghem, Isabel Nias, Andrew Shepherd, Erika Simon, Donald Slater, Robin Smith, Fiammetta Straneo, Luke Trusel, Michiel van den Broeke, and Roderik van de Wal: Experimental protocol for sea level projections from ISMIP6 standalone ice sheet models, The Cryosphere, doi:10.5194/tc-2019-322, 2020.",mds,True,findable,0,0,0,0,0,2021-02-03T16:01:49.000Z,2021-02-03T16:01:49.000Z,cern.zenodo,cern,"ISMIP6, Greenland, Antarctica, CMIP","[{'subject': 'ISMIP6, Greenland, Antarctica, CMIP'}]",,
-10.48380/5662-yk90,From Struggle to Solutions: Understanding the Concerns of People's Groundwater Usage Habits and Environmental Awareness for Sustainable Water Management in Ca Mau Province,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>The Mekong Delta, including Ca Mau province in the south, faces severe land subsidence, attributed in part to the excessive groundwater extraction. Addressing this issue requires finding alternative water sources while considering technical, environmental and social challenges. This study aims to understand the significance of groundwater to the people of Ca Mau, their water usage habits and awareness with environmental issues. Supported by local Provincial People's Committees, a comprehensive survey and group interviews were conducted across 9 districts of Ca Mau province. The research aimed to identify the spatial distribution of the required water management solutions and acceptance levels of alternative water resources. Water samples were collected and analyzed to establish the connection between water quality and people's water usage habits. Groundwater plays a vital role in peopleâ€™s life, serving various purposes such as washing, cooking, drinking, and other activities. Groundwater usage depends on people's perceptions of its quality. For activities requiring higher levels of hygiene, additional water treatment or alternative water sources are preferred. The analytical approach from general viewpoints to details in this study investigates deeper into the story behind their water usage habits. It emphasizes the need to inform people about environmental challenges and raise awareness of cause-effect relationships. Evaluating alternative water resources and designing new water utilization concepts is based on local demands and willingness to change water-related habits. This research sheds light on people's awareness and concern while providing valuable insights for sustainable water management strategies in the Mekong Delta, specifically in Ca Mau province.</p>
-",api,True,findable,0,0,0,0,0,2023-12-11T21:16:02.000Z,2023-12-11T21:16:02.000Z,mcdy.dohrmi,mcdy,,,,
-10.34847/nkl.36ac9k92,"Urban climate measurements by mobile station for assessment of pedestrian thermal exposure. Sites of Quai de plantes, Jardin extraordinaire, Rideau place Graslin, Estrade rafraichissante, Ilot frais and Parc of La Defense",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,en,Dataset,,"Jeu de donnÃ©es des mesures des variables climatiques en lien avec la perception thermique du piÃ©ton dans des parcours urbains. Les sites de ce jeu de donnÃ©es correspondent aux campagnes de mesures du projet ANR Coolscapes (cf. compte-rendu final pour plus de dÃ©tail).
-
-Chaque fichier correspond Ã  une sÃ©quence de mesures gÃ©ololisÃ©es (CRS 2154) et horodatÃ©es. Le nom de fichier indique : site_ville_reference-station_parcours_date_heure-dÃ©but 
-
-Chaque fichier est composÃ© des colonnes suivantes :
--	day_fileid : identifiant de la campagne de mesure
--	timestamp : horodatage de la mesure
--	RECORD : numÃ©ro de la mesure dans la sÃ©quence d'acquisition
--	AirTC_Avg (Â°C) : tempÃ©rature de l'air mesurÃ©e par le capteur Vaisala HMP155A sous abri mÃ©tÃ©orologique de type RAD14.
--	Temp_C_Avg(1) (Â°C) : tempÃ©rature de l'air mesurÃ©e par le thermocouple type T Omega situÃ© Ã  180 cm du sol
--	Temp_C_Avg(2) (Â°C) : tempÃ©rature de l'air mesurÃ©e par le thermocouple type T Omega situÃ© Ã  30 cm du sol
--	RH_Avg (%) : humiditÃ© relative mesurÃ©e par le capteur Vaisala HMP155A sous abri mÃ©tÃ©orologique de type RAD14.
--	WindDir (degrÃ©e selon le nord) : direction du vent selon l'azimut variable de la station mobile mesurÃ©e par le capteur Gill 2D Windsonic.
--	WS_ms_Avg (m/s) : vitesse du vent mesurÃ©e par le capteur Gill 2D Windsonic.
--	SR01Up_1_Avg (W/m2) : rayonnement de courte longueur d'onde provenant du ciel mÃ©surÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	SR01Dn_1_Avg (W/m2) : rayonnement de courte longueur d'onde provenant du sol mÃ©surÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	IR01UpCo_1_Avg (W/m2) : rayonnement de grande longueur d'onde provenant du ciel mesurÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	IR01DnCo_1_Avg (W/m2) : rayonnement de grande longueur d'onde provenant du sol mesurÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	NR01TC_1_Avg (Â°C) : tempÃ©rature de l'air Ã  l'intÃ©rieur du capteur NR 01 Hukseflux 4-component Net Radiometer
--	NR01TK_1_Avg (Â°K) : tempÃ©rature de l'air Ã  l'intÃ©rieur du capteur NR 01 Hukseflux 4-component Net Radiometer
--	NetRs_1_Avg (W/m2) : rayonnement net de courte longueur d'onde calculÃ© selon les mesures du NR 01
--	NetRl_1_Avg (W/m2) : rayonnement net de grande longueur d'onde calculÃ© selon les mesures du NR 01
--	SR01Up_2_Avg (W/m2) : rayonnement de courte longueur d'onde provenant de la gauche de la station mesurÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	SR01Dn_2_Avg (W/m2) : rayonnement de courte longueur d'onde provenant de la droite mesurÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	IR01UpCo_2_Avg (W/m2) : rayonnement de grande longueur d'onde provenant de la gauche de la station mesurÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	IR01DnCo_2_Avg (W/m2) : rayonnement de grande longueur d'onde provenant de la droite de la station mesurÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	NR01TC_2_Avg (Â°C) : tempÃ©rature de l'air Ã  l'intÃ©rieur du capteur NR 01 Hukseflux 4-component Net Radiometer
--	NR01TK_2_Avg (Â°K) : tempÃ©rature de l'air Ã  l'intÃ©rieur du capteur NR 01 Hukseflux 4-component Net Radiometer
--	NetRs_2_Avg (W/m2) : rayonnement net de courte longueur d'onde calculÃ© selon les mesures du NR 01
--	NetRl_2_Avg (W/m2) : rayonnement net de grande longueur d'onde calculÃ© selon les mesures du NR 01
--	SR01Up_3_Avg (W/m2) : rayonnement de courte longueur d'onde provenant du devant de la station mesurÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	SR01Dn_3_Avg (W/m2) : rayonnement de courte longueur d'onde provenant du derriÃ¨re de la station mesurÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	IR01UpCo_3_Avg (W/m2) : rayonnement de grande longueur d'onde provenant du devant de la station mesurÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	IR01DnCo_3_Avg (W/m2) : rayonnement de grande longueur d'onde provenant du derriÃ¨re de la station mesurÃ© par le capteur NR 01 Hukseflux 4-component Net Radiometer
--	NR01TC_3_Avg (Â°C) : tempÃ©rature de l'air Ã  l'intÃ©rieur du capteur NR 01 Hukseflux 4-component Net Radiometer
--	NR01TK_3_Avg (Â°K) : tempÃ©rature de l'air Ã  l'intÃ©rieur du capteur NR 01 Hukseflux 4-component Net Radiometer
--	NetRs_3_Avg (W/m2) : rayonnement net de courte longueur d'onde calculÃ© selon les mesures du NR 01
--	NetRl_3_Avg (W/m2) : rayonnement net de grande longueur d'onde calculÃ© selon les mesures du NR 01
--	BattV_Min (V) : tension de la batterie mesurÃ©e par la centrale CR1000X de Campbell scientific.
--	site : identifiant du site de mesure
--	city : ville
--	curv_absc : abcise curviligne correspondant Ã  l'avancement de la station mobile le long du parcours linaire de mesure
--	parcour : numÃ©ro de parcour
--	repetition : numÃ©ro d'itÃ©ration journaliÃ¨re
--	TagName : identification des points spÃ©cifiques
--	geometry : identification gÃ©ometrique du point spatial de la mesure en CRS 2154",api,True,findable,0,0,0,0,0,2023-04-14T15:02:02.000Z,2023-04-14T15:02:03.000Z,inist.humanum,jbru,"urban climate,mobile measurements,public space,thermal perception","[{'subject': 'urban climate'}, {'subject': 'mobile measurements'}, {'subject': 'public space'}, {'subject': 'thermal perception'}]","['55265 Bytes', '57510 Bytes', '46177 Bytes', '55231 Bytes', '59186 Bytes', '53137 Bytes', '57095 Bytes', '46907 Bytes', '52791 Bytes', '54007 Bytes', '54189 Bytes', '56910 Bytes', '62549 Bytes', '51908 Bytes', '53285 Bytes', '53154 Bytes', '56950 Bytes', '51649 Bytes', '40887 Bytes', '49850 Bytes', '8334 Bytes', '56302 Bytes', '43975 Bytes', '44773 Bytes', '49720 Bytes', '47134 Bytes', '58989 Bytes', '44402 Bytes', '9021 Bytes', '4176 Bytes', '6478 Bytes', '12664 Bytes', '9902 Bytes', '14306 Bytes', '11284 Bytes', '10140 Bytes', '12016 Bytes', '48483 Bytes', '10589 Bytes', '9452 Bytes', '9913 Bytes', '9455 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'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain']"
-10.5061/dryad.rv0k6,Data from: Inferring skeletal production from time-averaged assemblages: skeletal loss pulls the timing of production pulses towards the modern period,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"Age-frequency distributions of dead skeletal material on the landscape or seabedâ€”information on the time that has elapsed since the death of individualsâ€”provide decadal- to millennial-scale perspectives both on the history of production and on the processes that lead to skeletal disintegration and burial. So far, however, models quantifying the dynamics of skeletal loss have assumed that skeletal production is constant during time-averaged accumulation. Here, to improve inferences in conservation paleobiology and historical ecology, we evaluate the joint effects of temporally variable production and skeletal loss on postmortem age-frequency distributions (AFDs) to determine how to detect fluctuations in production over the recent past from AFDs. We show that, relative to the true timing of past production pulses, the modes of AFDs will be shifted to younger age cohorts, causing the true age of past pulses to be underestimated. This shift in the apparent timing of a past pulse in production will be stronger where loss rates are high and/or the rate of decline in production is slow; also, a single pulse coupled with a declining loss rate can, under some circumstances, generate a bimodal distribution. We apply these models to death assemblages of the bivalve Nuculana taphria from the Southern California continental shelf, finding that: (1) an onshore-offshore gradient in time averaging is dominated by a gradient in the timing of production, reflecting the tracking of shallow-water habitats under a sea-level rise, rather than by a gradient in disintegration and sequestration rates, which remain constant with water depth; and (2) loss-corrected model-based estimates of the timing of past production are in good agreement with likely past changes in local production based on an independent sea-level curve.",mds,True,findable,435,38,1,2,0,2015-06-10T14:22:26.000Z,2015-06-10T14:22:27.000Z,dryad.dryad,dryad,"Amino acid racemization,Diagenesis,Radiocarbon,Bivalvia,Nuculana,Time averaging,Holocene","[{'subject': 'Amino acid racemization'}, {'subject': 'Diagenesis'}, {'subject': 'Radiocarbon'}, {'subject': 'Bivalvia'}, {'subject': 'Nuculana'}, {'subject': 'Time averaging'}, {'subject': 'Holocene'}]",['923317 bytes'],
-10.6084/m9.figshare.c.6795368,Aberrant activation of five embryonic stem cell-specific genes robustly predicts a high risk of relapse in breast cancers,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background In breast cancer, as in all cancers, genetic and epigenetic deregulations can result in out-of-context expressions of a set of normally silent tissue-specific genes. The activation of some of these genes in various cancers empowers tumours cells with new properties and drives enhanced proliferation and metastatic activity, leading to a poor survival prognosis. Results In this work, we undertook an unprecedented systematic and unbiased analysis of out-of-context activations of a specific set of tissue-specific genes from testis, placenta and embryonic stem cells, not expressed in normal breast tissue as a source of novel prognostic biomarkers. To this end, we combined a strict machine learning framework of transcriptomic data analysis, and successfully created a new robust tool, validated in several independent datasets, which is able to identify patients with a high risk of relapse. This unbiased approach allowed us to identify a panel of five biomarkers, DNMT3B, EXO1, MCM10, CENPF and CENPE, that are robustly and significantly associated with disease-free survival prognosis in breast cancer. Based on these findings, we created a new Gene Expression Classifier (GEC) that stratifies patients. Additionally, thanks to the identified GEC, we were able to paint the specific molecular portraits of the particularly aggressive tumours, which show characteristics of male germ cells, with a particular metabolic gene signature, associated with an enrichment in pro-metastatic and pro-proliferation gene expression. Conclusions The GEC classifier is able to reliably identify patients with a high risk of relapse at early stages of the disease. We especially recommend to use the GEC tool for patients with the luminal-A molecular subtype of breast cancer, generally considered of a favourable disease-free survival prognosis, to detect the fraction of patients undergoing a high risk of relapse.",mds,True,findable,0,0,0,0,0,2023-08-18T03:20:44.000Z,2023-08-18T03:20:45.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Mathematical Sciences not elsewhere classified,Developmental Biology,Cancer,Plant Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Plant Biology'}]",,
-10.5281/zenodo.5024655,Grid'5000 performance data,Zenodo,2021,,Dataset,"Open Data Commons Open Database License v1.0,Open Access",Collection of performance data on Grid'5000,mds,True,findable,0,0,0,0,0,2021-06-24T12:36:59.000Z,2021-06-24T12:37:00.000Z,cern.zenodo,cern,,,,
-10.15778/resif.yp2012,Seismic network YP: CIFALPS temporary experiment (China-Italy-France Alps seismic transect),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2016,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Temporary seismic array of broadband stations deployed along a transect across the southwestern Alps (France and Italy). Duration: 14 months. 46 stations in the linear array from the Rhone valley to the central Po plain; 5 to 10 km spacing. 9 offline station at ~40 km distance north and south of the linear array. Goal: imaging of the crust and upper mantle using earthquakes and noise records. Sensors: mostly Nanometrics Trillium-120, with a few GÃ¼ralp CMG3ESP (90s) and GÃ¼ralp CMG40T (60s). Digitizers: Nanometrics Taurus.",mds,True,findable,0,0,0,2,0,2016-10-24T15:38:57.000Z,2016-10-24T15:38:57.000Z,inist.resif,vcob,"Western Alps,Structure of the crust and upper mantle,Seismic tomography,Geodynamics","[{'subject': 'Western Alps'}, {'subject': 'Structure of the crust and upper mantle'}, {'subject': 'Seismic tomography'}, {'subject': 'Geodynamics'}]",['806 Gb; 56 stations'],"['miniseed data', 'stationXML metadata']"
-10.26302/sshade/experiment_cl_20181201_07,Ion irradiation ($He^+$) of an Allende meteorite pellet probed by NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR spectra of Allende meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T17:01:31.000Z,2022-05-27T17:01:32.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CV,complex organic-mineral mix,matrix Allende,complex mineral mix,chondrules Allende,CAIs Allende,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CV'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Allende'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Allende'}, {'subject': 'CAIs Allende'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.17178/amma-catch.niger,"AMMA-CATCH observatory: Niamey square degree mesoscale site (16 000 km2) in the cultivated Sahelian zone, Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1990,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","The Niger mesoscale observation site is geographically central among the three such sites of the AMMA-CATCH regional observatory. Located 13-14Â°N and 2-3Â°E in SW Niger, it samples the cultivated Sahelian environment, on both sides of the Niger River albeit predominantly to its north-east, and includes the city of Niamey. The climate is semiarid, with ~300-700 mm/year of rainfall concentrated in a short monsoon season (July-September essentially). Landuse is a patchwork of millet fields, fallow bush plots, tiger bush, and bare land. Meteorological, hydrological, and ecological observations have been carried out for several decades at this site, starting with the EPSAT-Niger, HAPEX-Sahel, SEBEX programs in the 80-90's. Most instruments were made perennial since the launch of the AMMA international experiment in 2005.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:19.000Z,2018-03-16T15:37:20.000Z,inist.osug,jbru,"Sahelian climate,Precipitation,Surface water,Meteo,Flux,Radiation,Vegetation,Ground water,Soils,Water quality / Water chemistry","[{'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Radiation', 'subjectScheme': 'var'}, {'subject': 'Vegetation', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.7914/sn/xq_2020,CHAUVET,International Federation of Digital Seismograph Networks,2020,,Dataset,,3 stations sismob,mds,True,findable,0,0,0,0,0,2020-06-12T17:34:42.000Z,2020-06-12T17:34:44.000Z,iris.iris,iris,,,,['SEED data']
-10.5281/zenodo.10419096,"Sliding velocity, water discharge, water pressure, and rainfall time series at ArgentiÃ¨re Glacier between 2019 and 2021",Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Files Description:
-
-==================================cavitometer_2019-2021.dat:==================================
-
-Contains 30-min sampled values of recorded sliding velocities at the cavitometer.
-
-Column 1 = DateColumn 2 = Velocity (mm/hour)
-
-================================water_discharge_2019-2021.dat:================================
-
-Contains 15-min sampled values of recorded water discharge at the glacier outlet.
-
-Column 1 = DateColumn 2 = Water discharge (m3/s)
-
-================================water_pressure_2019-2021.dat:================================
-
-Contains 30-min sampled values of recorded water pressure at the borehole BH2.
-
-Column 1 = DateColumn 2 = Water pressure (bar)
-
-================================rainfall_2019-2021.dat:================================
-
-Contains 30-min sampled values of recorded rainfall at the meteo station.
-
-Column 1 = DateColumn 2 = Rainfall (mm w.eq./hour)",api,True,findable,0,0,0,0,0,2023-12-22T13:03:53.000Z,2023-12-22T13:03:54.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_c(17o)_hyperfine_0ecc62b5,Hyperfine excitation of C[17O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",75 hyperfine energy levels / 176 radiative transitions / 2775 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 2775 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:37.000Z,2023-12-07T15:50:37.000Z,inist.osug,jbru,"target C[17O],excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[17O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.6035534,"Consilience across multiple, independent genomic data sets reveals species in a complex with limited phenotypic variation",Zenodo,2023,,Software,"MIT License,Open Access","Species delimitation in the genomic era has focused predominantly on the application of multiple analytical methodologies to a single massive parallel sequencing (MPS) data set, rather than leveraging the unique but complementary insights provided by different classes of MPS data. In this study we demonstrate how the use of two independent MPS data sets, a sequence capture data set and a single nucleotide polymorphism (SNP) data set generated via genotyping-by-sequencing, enables the resolution of species in three complexes belonging to the grass genus <em>Ehrharta, </em>whose strong population structure and subtle morphological variation limit the effectiveness of traditional species delimitation approaches. Sequence capture data are used to construct a comprehensive phylogenetic tree of <em>Ehrharta </em>and to resolve population relationships within the focal clades, while SNP data are used to detect patterns of gene pool sharing across populations, using a novel approach that visualises multiple values of K. Given that the two genomic data sets are fully independent, the strong congruence in the clusters they resolve provides powerful ratification of species boundaries in all three complexes studied. Our approach is also able to resolve a number of single-population species and a probable hybrid species, both which would be difficult to detect and characterize using a single MPS data set. Overall, the data reveal the existence of 11 and five species in the <em>E. setacea</em> and <em>E. rehmannii </em>complexes, with the <em>E. ramosa</em> complex requiring further sampling before species limits are finalized. Despite phenotypic differentiation being generally subtle, true crypsis is limited to just a few species pairs and triplets. We conclude that, in the absence of strong morphological differentiation, the use of multiple, independent genomic data sets is necessary in order to provide the cross-data set corroboration that is foundational to an integrative taxonomic approach.",mds,True,findable,0,0,0,0,0,2023-02-14T19:26:17.000Z,2023-02-14T19:26:17.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_jg_20090226_001,"Vis-NIR reflectance spectra of Kebri Dehar (Ogaden, Ethiopia) basalt",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Kebri Dehar (Ogaden, Ethiopia) basalts altered in hot conditions with globally increasing aridity since Late Oligocene. The samples are cobble fragments sampled from the same outcrop. The experiment contains spectra of the surface of the alteration rind and of the internal part of the samples.",mds,True,findable,0,0,0,0,0,2019-12-09T05:10:42.000Z,2019-12-09T05:10:42.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['42 spectra'],['ASCII']
-10.26302/sshade/experiment_hm_20170913_001,Optical constants from UV to FIR for 9 glassy Mg and Mg-Fe-silicates,SSHADE/DOCCD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-04-20T13:08:38.000Z,2020-04-20T13:08:39.000Z,inist.sshade,mgeg,"solid,laboratory,inosilicate,Mg-silicate glass with pyroxene stoichiometry,Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.05,Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.2,Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.3,Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.4,Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.5,Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.6,nesosilicate,Mg-Fe-silicate glass with olivine stoichiometry, Fe content 0.5,Mg-Fe-silicate glass with olivine stoichiometry, Fe content 0.6,laboratory measurement,transmission,macroscopic,UV,Ultraviolet,specular reflection,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'inosilicate'}, {'subject': 'Mg-silicate glass with pyroxene stoichiometry'}, {'subject': 'Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.05'}, {'subject': 'Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.2'}, {'subject': 'Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.3'}, {'subject': 'Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.4'}, {'subject': 'Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.5'}, {'subject': 'Mg-Fe-silicate glass with pyroxene stoichiometry, Fe content 0.6'}, {'subject': 'nesosilicate'}, {'subject': 'Mg-Fe-silicate glass with olivine stoichiometry, Fe content 0.5'}, {'subject': 'Mg-Fe-silicate glass with olivine stoichiometry, Fe content 0.6'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'UV'}, {'subject': 'Ultraviolet'}, {'subject': 'specular reflection'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['9 spectra'],['ASCII']
-10.26302/sshade/experiment_op_20200908_001,"Vis-NIR reflectance spectra of powdered olivine, pyroxene, smectite and silica at 4 different grain sizes (from sub-Âµm to 200 Âµm) and with sub-Âµm grains in compact or porous surfaces",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","We measured the reflectance spectra (from 0.5 to 4.2 Âµm) of powders of olivine, pyroxene, a smectite-rich material, and amorphous silica. The powders were grinded and sieved and the spectra of four size fractions were measured: 100-200 Âµm, 50-100 Âµm, 0-50 Âµm, and sub-micrometer sized grains. In addition, porous surfaces of the latter grains were produced by mixing them with water ice and sublimating the ice.",mds,True,findable,0,0,0,0,0,2020-10-06T07:47:58.000Z,2020-10-06T07:47:59.000Z,inist.sshade,mgeg,"mineral,laboratory,natural terrestrial,nesosilicate,Olivine Forsterite,tektosilicate,Quartz,inosilicate,Enstatite,Diopside,phyllosilicate,Talc,Albite,Calcium amphibole,Kaolinite,Smectite,Illite,Microcline,commercial,silicate,Silica amorphous,tectosilicate,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'laboratory'}, {'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'Olivine Forsterite'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'inosilicate'}, {'subject': 'Enstatite'}, {'subject': 'Diopside'}, {'subject': 'phyllosilicate'}, {'subject': 'Talc'}, {'subject': 'Albite'}, {'subject': 'Calcium amphibole'}, {'subject': 'Kaolinite'}, {'subject': 'Smectite'}, {'subject': 'Illite'}, {'subject': 'Microcline'}, {'subject': 'commercial'}, {'subject': 'silicate'}, {'subject': 'Silica amorphous'}, {'subject': 'tectosilicate'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['19 spectra'],['ASCII']
-10.26302/sshade/experiment_sp_20210420_1000,Vis-NIR reflectance spectroscopy of the meteorite Murchison with varying grain sizes from 1000Âµm to 45Âµm,SSHADE/CHIPS (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","0.35 to 2.5Âµm reflectance spectroscopy of a powdered sample of the meteorite Murchison sieved to select grains sizes &lt;1000Âµm, &lt;500Âµm, &lt;250Âµm, &lt;150Âµm, &lt;90Âµm and &lt;45Âµm.",mds,True,findable,0,0,0,0,0,2021-04-22T14:45:05.000Z,2021-04-22T14:45:07.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix Murchison,complex mineral mix,chondrules Murchison,CAIs Murchison,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Murchison'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Murchison'}, {'subject': 'CAIs Murchison'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['6 spectra'],['ASCII']
-10.5061/dryad.hmgqnk9hh,The tempo of greening in the European Alps: Spatial variations on a common theme,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"The long-term increase of satellite-based proxies of vegetation cover is a well-documented response of seasonally snow-covered ecosystems to climate warming. However, observed greening trends are far from being uniform and substantial uncertainty remains concerning the underlying causes of this spatial variability. Here, we processed surface reflectance of the moderate resolution imaging spectroradiometer (MODIS) to investigate trends and drivers of changes in the annual peak values of the Normalized Difference Vegetation Index (NDVI). Our study focuses on the above treeline ecosystems in the European Alps. The NDVI changes of these ecosystems are highly sensitive to land cover and biomass changes and are marginally affected by anthropogenic disturbances. We found a widespread greening for the period 2000-2020, a pattern that is consistent with the overall increase of summer temperature. At the local scale, the spatial variability of greening was mainly due to the preferential response of north-facing slopes between 1900 m and 2400 m. Using high resolution imagery, we noticed that the presence of screes and outcrops locally magnified this response. At the regional scale, we identified hotspots of greening where vegetation cover is sparser than expected given the elevation and exposure. Most of these hotspots experienced delayed snowmelt and green-up dates in recent years. We conclude that the ongoing greening in the Alps primarily reflects the high responsiveness of sparsely vegetated ecosystems that are able to benefit the most from temperature and water-related habitat amelioration above treeline.",mds,True,findable,154,4,0,0,0,2021-08-05T18:10:34.000Z,2021-08-05T18:10:35.000Z,dryad.dryad,dryad,"plant ecology; climate change,European Alps,alpine ecosystems,Greening trends","[{'subject': 'plant ecology; climate change'}, {'subject': 'European Alps'}, {'subject': 'alpine ecosystems'}, {'subject': 'Greening trends'}]",['101088493 bytes'],
-10.26302/sshade/experiment_bs_20201114_010,"Near-infrared reflectance spectra at low temperature (300-80K) of Struvite [(NH4)MgPO4Â·6(H2O)] powders with three grain size ranges (32-80, 80-125 and 125-150Âµm)",SSHADE/CSS (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Near-infrared reflectance spectra at low temperature (290-70K) of Struvite powder [(NH4)MgPO4Â·6(H2O)] with 32-80 Âµm grain size and at room temperature (300K) with 80-125Âµm and 125-150Âµm grain sizes,mds,True,findable,0,0,0,0,0,2022-04-23T08:18:26.000Z,2022-04-23T08:18:27.000Z,inist.sshade,mgeg,"natural terrestrial,phosphate,Struvite,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'natural terrestrial'}, {'subject': 'phosphate'}, {'subject': 'Struvite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['23 spectra'],['ASCII']
-10.5281/zenodo.10199624,Improved Converted Traces from Rebasing Microarchitectural Research with Industry Traces,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Improved converted traces of the paper ""Rebasing Microarchitectural Research with Industry Traces"",Â published at theÂ 2023 IEEE International Symposium on Workload Characterization. It includes the CVP-1 traces used in the paper converted with our improved converter.
-Abstract:Â Microarchitecture research relies on performance models with various degrees of accuracy and speed. In the past few years, one such model, ChampSim, has started to gain significant traction by coupling ease of use with a reasonable level of detail and simulation speed. At the same time, datacenter class workloads, which are not trivial to set up and benchmark, have become easier to study via the release of hundreds of industry traces following the first Championship Value Prediction (CVP-1) in 2018. A tool was quickly created to port the CVP-1 traces to the ChampSim format, which, as a result, have been used in many recent works. We revisit this conversion tool and find that several key aspects of the CVP-1 traces are not preserved by the conversion. We therefore propose an improved converter that addresses most conversion issues as well as patches known limitations of the CVP-1 traces themselves. We evaluate the impact of our changes on two commits of ChampSim, with one used for the first Instruction Championship Prefetching (IPC-1) in 2020. We find that the performance variation stemming from higher accuracy conversion is significant.",api,True,findable,0,0,0,0,0,2023-11-23T06:56:43.000Z,2023-11-23T06:56:43.000Z,cern.zenodo,cern,"ChampSim,CVP-1 traces","[{'subject': 'ChampSim'}, {'subject': 'CVP-1 traces'}]",,
-10.26302/sshade/experiment_dt_20171221_001,Au L3 edge XAS transmission of Au metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-15T20:30:55.000Z,2019-11-15T20:30:56.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Au,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Au'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.48380/2gzr-9q70,Mineralogical evidence for Quaternary serpentinization in the New-Caledonian ophiolite: Implication for the low-temperature genesis of H2- and CH4-bearing alkaline fluids,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>H<sub>2</sub>-bearing fluids (pH 10 â€“ 12) issued in alkaline springs found in several ophiolitic complexes worldwide are believed to result from the alteration of ultramafic rocks by infiltration of meteoric waters. The mineralogical fingerprint of the reactive percolation of such an alkaline fluid is revealed by veinlet mineralization occurring in the New Caledonian ophiolite (Massif du Sud). In two localities separated by <strong>~</strong> 15<strong> </strong>km (Georges Pile and GR2H mines), late veins in a partially serpentinized peridotite contain magnetite crystals younger than 2 Ma as inferred from (U-Th)/He geochronometry. While the serpentinite host at Georges Pile is largely overprinted by lateritic weathering, primary parageneses are preserved at GR2H. There, magnetite occurs along with dolomite and Fe-poor lizardite as filling in millimeter sized veins cross-cutting the mesh texture of the partially serpentinized dunite. Temperature of the aqueous fluid from which the vein material precipitated is estimated to be ~95Â°C from <em>in situ</em> Î´<sup>18</sup>O data on the magnetite-dolomite pair, indicating a low-temperature alteration process. Thermochemical calculation shows that this aqueous fluid was alkaline and most likely H<sub>2</sub>-bearing. Chemically, it strongly resembles waters that are issued today in H<sub>2</sub> and CH<sub>4</sub> â€“ bearing (hyper)alkaline springs of the Massif du Sud. Î´<sup>13</sup>C isotopic composition of dolomite is exceptionally high, between 7.1 and up to 17.3 â€° and is interpreted as evidence for low-temperature methanogenesis.</p>
-",api,True,findable,0,0,0,0,0,2023-12-11T20:33:23.000Z,2023-12-11T20:33:23.000Z,mcdy.dohrmi,mcdy,,,,
-10.17178/emaa_hnc_rotation_20269bc3,"Rotation excitation of HNC by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",18 rotation energy levels / 17 radiative transitions / 153 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 153 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 36 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:01.000Z,2022-02-07T11:25:02.000Z,inist.osug,jbru,"target HNC,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HNC', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_so2_rotation_cdf6a320,Rotation excitation of SO2 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",31 rotation energy levels / 74 radiative transitions / 465 collisional transitions for para-H2 (6 temperatures in the range 5-30K) / 465 collisional transitions for ortho-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2022-02-07T11:26:27.000Z,2022-02-07T11:26:28.000Z,inist.osug,jbru,"target SO2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SO2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.10055461,Mont Blanc ice core data for NH3 source investigation in Europe,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,Dataset to interpret the Î´15N(NH4+) in a Mont Blanc ice core,api,True,findable,0,0,0,0,0,2023-11-03T08:48:44.000Z,2023-11-03T08:48:44.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_lb_20180503_001,"Vis-NIR reflectance spectra (i=0Â°, e=30Â° and 60Â°) of 4 lunar soils (Appolo 15, 16, 17) under ambient conditions",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Visible Near-IR reflectance spectra (i=0Â°, e=30Â° and e=60Â°) of 4 lunar soils: 15041 (Appolo 15), 65701 (Appolo 16), 74241 (Appolo 17) and 78221 (Appolo 17), under ambient conditions acquired with SHADOWS spectro-gonio radiometer @ IPAG",mds,True,findable,0,0,0,0,0,2021-02-05T10:39:22.000Z,2021-02-05T10:39:23.000Z,inist.sshade,mgeg,"solid,planetary,tektosilicate,plagioclase,inosilicate,pyroxene,nesosilicate,olivine,oxide-hydroxide,ilmenite,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'planetary'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclase'}, {'subject': 'inosilicate'}, {'subject': 'pyroxene'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'oxide-hydroxide'}, {'subject': 'ilmenite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['8 spectra'],['ASCII']
-10.6084/m9.figshare.23983484,Additional file 1 of Aberrant activation of five embryonic stem cell-specific genes robustly predicts a high risk of relapse in breast cancers,figshare,2023,,Text,Creative Commons Attribution 4.0 International,"Additional file 1: Fig. S1. (A) Heatmap showing the expression of 1882 genes in normal adult tissues with predominant expression in testis (male germinal), embryonic stem cells (ES cells) or placenta, and not expressed in normal breast (female genital). The expression levels of all genes are normalized by scaling each feature to a range between zero and one. The genes are ordered according their normalized expression levels in the tissues of interest (testis, placenta and ES cells, respectively). (B) Venn diagram showing the distribution of 1882 genes according the tissue of predominance: testis, embryonic stem cells and/or placenta. Fig. S2. Flow chart representing the main steps of the biomarker discovery pipeline. Fig. S3. Expression profiles in normal tissues of the five genes in the GEC panel DNMT3B, EXO1, MCM10, CENPF and CENPE based on RNA-seq data from GTEX and NCBI Sequence Read Archive. All five genes have a predominant expression profile in embryonic stem cells. They are also expressed in testis (male germinal) at lower levels. These genes are not expressed in normal breast and female genital tissues. Fig. S4. Kaplan-Meier individual survival curves of the genes DNMT3B, EXO1, MCM10, CENPF and CENPE in the training (TCGA-BRCA) and validation (GSE25066, GSE21653, GSE42568) datasets.",mds,True,findable,0,0,0,0,0,2023-08-18T03:20:41.000Z,2023-08-18T03:20:41.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Mathematical Sciences not elsewhere classified,Developmental Biology,Cancer,Plant Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Plant Biology'}]",['510839 Bytes'],
-10.5061/dryad.5b58400,Data from: Mapping the imprint of biotic interactions on Î²-diversity,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Investigating how trophic interactions influence the Î²-diversity of meta-communities is of paramount importance to understanding the processes shaping biodiversity distribution. Here, we apply a statistical method for inferring the strength of spatial dependencies between pairs of species groups. Using simulated community data generated from a multi-trophic model, we showed that this method can approximate biotic interactions in multi-trophic communities based on Î²-diversity patterns across groups. When applied to soil multi-trophic communities along an elevational gradient in the French Alps, we found that fungi make a major contribution to the structuring of Î²-diversity across trophic groups. We also demonstrated that there were strong spatial dependencies between groups known to interact specifically (e.g. plant-symbiotic fungi, bacteria-nematodes) and that the influence of environment was less important than previously reported in the literature. Our method paves the way for a better understanding and mapping of multi-trophic communities through space and time.",mds,True,findable,357,65,1,1,0,2018-07-27T17:58:03.000Z,2018-07-27T17:59:10.000Z,dryad.dryad,dryad,"partial correlation networks,interaction network,graphical lasso,meta-communities,Holocene","[{'subject': 'partial correlation networks'}, {'subject': 'interaction network'}, {'subject': 'graphical lasso'}, {'subject': 'meta-communities'}, {'subject': 'Holocene'}]",['420248 bytes'],
-10.17178/ohmcv.rts.auz.10-14.1,Hpiconet rain gauge network,CNRS - OSUG - OREME,2010,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",A report of the raingauge survey is available in the file tournee_etat_stations.xlsx A interactive software based on R allows to interactively plot and extract the data to the EXCEL format. (http://www.ohmcv.fr/plot_hpiconet_series.zip),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:29.000Z,2017-03-10T17:09:29.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Amount,RAIN GAUGES","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'main'}, {'subject': 'RAIN GAUGES', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.26302/sshade/bandlist_raman_c2n2-c2n2-i,Raman band list of C2N2 in natural solid C2N2 (phase I),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman band list of $C_2N_2$ in natural solid $C_2N_2$ (phase I) beetween 20 and 120 K,mds,True,findable,0,0,0,0,0,2023-04-21T07:12:57.000Z,2023-04-21T07:12:58.000Z,inist.sshade,mgeg,"natural C2N2 - phase I,Cyanogen,Cyanogen phase I,C2N2 Phase I,Ethanedinitrile,460-19-5,C2N2,non polar molecular solid,molecular solids with apolar molecules,organic molecular solid,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural C2N2 - phase I', 'subjectScheme': 'name'}, {'subject': 'Cyanogen', 'subjectScheme': 'name'}, {'subject': 'Cyanogen phase I', 'subjectScheme': 'name'}, {'subject': 'C2N2 Phase I', 'subjectScheme': 'name'}, {'subject': 'Ethanedinitrile', 'subjectScheme': 'IUPAC name'}, {'subject': '460-19-5', 'subjectScheme': 'CAS number'}, {'subject': 'C2N2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5061/dryad.1jwstqk1p,"Data for: Reproductive tactics, birth timing and the risk-resource trade-off in an income breeder",Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"In variable environments, habitats that are rich in resources often carry a higher risk of predation. As a result, natural selection should favour individuals that balance allocation of time to foraging versus avoiding predation through an optimal decision-making process that maximises fitness. The behavioural trade-off between resource acquisition and risk avoidance is expected to be particularly acute during gestation and lactation when the energetic demands of reproduction peak. Here, we investigated how reproductive female roe deer adjust their foraging activity and habitat use during the birth period to manage this trade-off compared to non-reproductive juveniles, and how parturition date constrains individual tactics of risk-resource management. Activity of reproductive females more than doubled immediately following parturition, when energy demand is highest. Furthermore, compared to non-reproductive juveniles, they increased their exposure to risk by using open habitat more during daytime and ranging closer to roads. However, these post-partum modifications in behaviour were particularly pronounced in late-parturient females who adopted a more risk-prone tactic, presumably to compensate for the growth handicap of their late-born offspring. In income breeders, individuals that give birth late may be constrained to trade risk avoidance for foraging during peak allocation to reproduction, with probable consequences for individual fitness.",mds,True,findable,27,3,0,1,0,2023-10-20T15:40:53.000Z,2023-10-20T15:40:54.000Z,dryad.dryad,dryad,"roe deer,Activity data,Spatial Data,FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'roe deer'}, {'subject': 'Activity data'}, {'subject': 'Spatial Data'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['3881585 bytes'],
-10.5281/zenodo.3817433,"Search Queries for ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" v2.0",Zenodo,2018,,Software,"Creative Commons Attribution 4.0 International,Open Access","<strong>This package contain machine readable (xml) search queries for Scopus to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs).</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as <em>proof of practice</em>.) The initiative started from the Aurora Universities Network in 2017, in the working group ""Societal Impact and Relevance of Research"", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's). The classification model we have used are 17 different search queries on the Scopus database. The search queries are elegant constructions with keyword combinations and boolean operators, in the syntax specific to the Scopus Query Language. We have used Scopus because it covers more research area's that are relevant to the SDG's, and we could filter much easier the Aurora Institutions. <strong>Versions</strong> Different versions of the search queries have been made over the past years to improve the precision (soundness) and recall (completeness) of the results. The queries have been made in a team effort by several bibliometric experts from the Aurora Universities. Each one did two or 3 SDG's, and than reviewed each other's work. v1.0 January 2018<em> Initial 'strict' version.</em> In this version only the terms were used that appear in the SDG policy text of the targets and indicators defined by the UN. At this point we have been aware of the SDSN Compiled list of keywords, and used them as inspiration. Rule of thumb was to use <em>keyword-combination searches</em> as much as possible rather than <em>single-keyword searches</em>, to be more precise rather than to yield large amounts of false positive papers. Also we did not use the inverse or 'NOT' operator, to prevent removing true positives from the result set. This version has not been reviewed by peers. Download from: GitHub / Zenodo v2.0 March 2018<em> Reviewed 'strict' version.</em> Same as version 1, but now reviewed by peers. Download from: GitHub / Zenodo v3.0 May 2019 <em>'echo chamber' version.</em> We noticed that using strictly the terms that policy makers of the UN use in the targets and indicators, that much of the research that did not use that specific terms was left out in the result set. (eg. ""mortality"" vs ""deaths"") To increase the recall, without reducing precision of the papers in the results, we added keywords that were obvious synonyms and antonyms to the existing 'strict' keywords. This was done based on the keywords that appeared in papers in the result set of version 2. This creates an 'echo chamber', that results in more of the same papers. Download from: GitHub / Zenodo v4.0 August 2019<em> uniform 'split' version.</em> Over the course of the years, the UN changed and added Targets and indicators. In order to keep track of if we missed a target, we have split the queries to match the targets within the goals. This gives much more control in maintenance of the queries. Also in this version the use of brackets, quotation marks, etc. has been made uniform, so it also works with API's, and not only with GUI's. His version has been used to evaluate using a survey, to get baseline measurements for the precision and recall. Published here: Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. Download from: GitHub / Zenodo v5.0 June 2020 <em>'improved' version.</em> In order to better reflect academic representation of research output that relate to the SDG's, we have added more keyword combinations to the queries to increase the recall, to yield more research papers related to the SDG's, using academic terminology. We mainly used the input from the Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. We ran several text analyses: Frequent term combination in title and abstracts from Suggested papers, and in selected (accepted) papers, suggested journals, etc. Secondly we got inspiration out of the Elsevier SDG queries Jayabalasingham, Bamini; Boverhof, Roy; Agnew, Kevin; Klein, Lisette (2019), â€œIdentifying research supporting the United Nations Sustainable Development Goalsâ€, Mendeley Data, v1 https://dx.doi.org/10.17632/87txkw7khs.1. Download from: GitHub / Zenodo <strong>Contribute and improve the SDG Search Queries</strong> We welcome you to join the Github community and to fork, improve and make a pull request to add your improvements to the new version of the SDG queries. <strong>https://github.com/Aurora-Network-Global/sdg-queries</strong>",mds,True,findable,1,0,2,0,0,2020-05-15T13:11:17.000Z,2020-05-15T13:11:18.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Classification model,Search Queries,SCOPUS","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Classification model'}, {'subject': 'Search Queries'}, {'subject': 'SCOPUS'}]",,
-10.6084/m9.figshare.20222461,Additional file 1 of Ten actions to achieve gender equity among intensivists: the French Society of Intensive Care (FICS) model,figshare,2022,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. This a presentation leaflet of the working group FEMMIR (Femmes mÃ©decins en mÃ©decine intensive rÃ©animation) including missions, actions and demands of the group.",mds,True,findable,0,0,39,1,0,2022-07-04T09:24:13.000Z,2022-07-04T09:24:14.000Z,figshare.ars,otjm,"Biotechnology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['958281 Bytes'],
-10.26302/sshade/experiment_cl_20181202_04,Ion irradiation ($He^+$) of an Tagish Lake meteorite pellet probed by NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR spectra of Tagish Lake meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T17:02:29.000Z,2022-05-27T17:02:30.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,ungrouped,complex organic-mineral mix,matrix TagishLake,complex mineral mix,chondrules TagishLake,CAIs Tagish Lake,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'ungrouped'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix TagishLake'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules TagishLake'}, {'subject': 'CAIs Tagish Lake'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.5281/zenodo.10474604,MIPkit-W (MISOMIP2),Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"Observational data kit gathered and reprocessed to facilitate the evaluation of ocean and ice-sheet simulations of theÂ Weddell Sea sector as part of MISOMIP2.
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-Â 
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-__________________________________________
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-This entire dataset should be cited as:
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-the MISOMIP2 MIPkit-W datasetÂ (https://zenodo.org/doi/10.5281/zenodo.8316180) that includes data collected through multiple cruises of the Polarstern Research Vessel and originally provided by the Alfred Wegener Institute, Bremerhaven, Germany, and glaciological data from the MeaSUREs, MeaSUREs ITS_LIVE projects.
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-
-For more specific use of some of the MIPkit-W data, we encourage people to cite the original dataÂ referencedÂ below.
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-Â 
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-__________________________________________
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-IceSurfVel_MIPkitW_2000-2019 : annual maps of ice surface velocity
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-Surface-parallel velocity vectors (in m/year) between 2000 and 2019 are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of all available Earth observation data from the MeaSUREs project (Rignot et al. 2014 and Mouginot et al. 2017) and MeaSUREs ITS_LIVE project (Gardner et al. 2022), with weights corresponding to the inverse square error of the original datasets. Propagated errors and a mask indicating the original data sources for each grid point are also included.
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-Â 
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-IceSurfElChange_MIPkitW_1992-2019 : annual maps of surface elevation change
-
-Surface elevation changes (in m) between 1992 and 2019, relative to 16-Dec-2013, are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of available Earth observation data from MeaSUREs ITS_LIVE (Nilsson et al. 2023) for the grounded ice and MeaSUREs ITS_LIVE data (Paolo et al. 2023) for floating ice. Propagated errors and a mask indicating the original data sources for each grid point are also included.
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-Â 
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-__________________________________________
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-Oce3d_MIPkitW_* : 3-dimensional temperature and salinity (horizontal slices every 100m)
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-The hydrographic properties provided on horizontal sections at 15 depths come from the CTD measurements obtained from late December to early March during the Alfred Wegener InstituteÂ Polarstern cruises ANT-XII/3 (Schroeder, 2010), PS82 (Schroeder, 2014), PS96 (Schroeder, 2016) and PS111 (Janout, 2019), which cover years 1995, 2014, 2016 and 2018, respectively.
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-Â 
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-__________________________________________
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-OceSec<n>_MIPkitW_* : vertical sections
-
-The first vertical section (OceSec1) goes from the tip of the Antartic Peninsula to Kapp Norvegia (12.33Â°E). It is known as WOCE-SR04 and has been monitored since 1989. The data provided were collected during Polarstern cruises in Sep.-Oct. 1989, Nov.-Dec. 1990, Dec. 1992-Jan. 1993, Mar.-May 1996, Apr.-May 1998 (Fahrbach and Rohardt, 1990, 1991, 1993, 1996, 1998), Jan.-Apr. 2005 (Rohardt 2010), Feb.-Apr. 2008 (Fahrbach and Rohardt, 2008), Dec. 2010-Jan. 2011 (Rohardt et al. 2011), Dec. 2012-Jan. 2013 (Rohardt 2013), as well as Dec. 2016-Jan. 2017 and Dec. 2018-Feb. 2019 (Rohardt and Boebel, 2017, 2020).
-
-The second vertical section (OceSec2) is at approximately 76Â°S and covers the eastern side of Filchner Through. It was surveyed during some of the Polarstern cruises on 5-8 Jan. 2014 (Schroeder, 2014), 20-24 Jan. 2016 (Schroeder, 2016) and 4-23 Feb. 2018 (Janout, 2019).
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-The third and fourth sections were obtained along the front of Ronne (OceSec3) and Filchner (OceSec4) ice shelves, respectively. The Filchner section was measured on 1-3 Feb. 1977 by the Norwegian Antarctic Research Expedition with Research Vessel Polarsirkel (Foldvik et al., 1985), 7-16 Jan. 1981 (Hubold and Drescher, 1982), 25 Jan.- 4 Mar. 1995 (Schroeder, 2010), 15-17 Jan. 2014 (Schroeder, 2014), 15 Jan. 2016 (only one vertical profile; Schroeder, 2016), and 14-23 Feb. 2018 (Janout, 2019). The Ronne section was measured by some of these expeditions on 25 Jan.- 24 Feb. 1995, 14-15 Jan. 2016, and 9-14 Feb. 2018.
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-The files OceSec<n>_MIPkitW_model_lon_lat.csv contain the coordinates (longitude, latitude) at which model data should be interpolated to be compared to the observational sections.
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-OceMoor<n>_MIPkitW_* : moorings
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-Temperature, salinity and velocity time series are provided at three moorings placed along the 76Â°S vertical section and referred to as OceMoor1Â (AWI252, 30.47Â°W), OceMoor2Â (AWI253, 30.99Â°W) and OceMoor3Â (AWI254, 31.48Â°W), and cover the period from Jan. 2014 to Feb. 2018 (Schroeder et al., 2017a,b,c, 2019a,b,c). Temperature, salinity and velocity data were obtained at two depths for AWI252 (335 and 421 m depth for a seafloor at 447 m) and AWI253 (349 and 434 m depth for a seafloor at 456 m), while a single depth is provided for AWI254 (553 m for a seafloor at 581 m).
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-Â 
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-The archive example_routines.zip Â contains example of Matlab routines that were used to prepare the MIPkit-W ocean data, as well as GenerateData_MIPkit_Ice.m and writeNC_MIPkit_Ice.m that were used to process glaciological data.
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-__________________________________________
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-References
-
-Fahrbach, E. and Rohardt, G. (1990). Physical oceanography during POLARSTERN cruise ANT-VIII/2 (WWGS) on section SR02 and SR04, PANGAEA, https://doi.org/10.1594/PANGAEA.742580
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-Fahrbach, E. and Rohardt, G. (1991). Physical oceanography during POLARSTERN cruise ANT-IX/2 on section SR04, PANGAEA, https://doi.org/10.1594/PANGAEA.735277
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-Fahrbach, E. and Rohardt, G. (1993). Physical oceanography during POLARSTERN cruise ANT-X/7 on section SR04, PANGAEA, https://doi.org/10.1594/PANGAEA.742651
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-Fahrbach, E. and Rohardt, G. (1996). Physical oceanography during POLARSTERN cruise ANT-XIII/4 on section S04A, PANGAEA, https://doi.org/10.1594/PANGAEA.738489
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-Fahrbach, E. and Rohardt, G. (1998): Physical oceanography during POLARSTERN cruise ANT-XV/4 (DOVETAIL) on section SR04, PANGAEA, https://doi.org/10.1594/PANGAEA.742626
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-Fahrbach, E. and Rohardt, G. (2008): Physical oceanography during POLARSTERN cruise ANT-XXIV/3, PANGAEA, https://doi.org/10.1594/PANGAEA.733414
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-Foldvik, A,, GammelsrÃ¸d,T. & TÃ¸rresen, T. 1985: Hydrographic observations from the Weddell Sea during the Norwegian Antarctic Research Expedition 1976/77. Polar Research, 3:2, 177-193, https://doi.org/10.3402/polar.v3i2.6951
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-Hubold, G. and Drescher, H. E. (1982). Die Filchner-Schelfeis-Expedition 1980/81 mit MS ""Polarsirkel"". Liste der PlanktonfÃ¤nge und LichtstÃ¤rkemessungen , Reports on Polar Research, Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, 4, https://epic.awi.de/id/eprint/26181/1/BerPolarforsch19824.pdf
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-Rohardt, G. (2010). Physical oceanography during POLARSTERN cruise ANT-XXII/3, https://doi.org/10.1594/PANGAEA.733664
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-Rohardt, G. (2013). Physical oceanography during POLARSTERN cruise ANT-XXIX/2, https://doi.org/10.1594/PANGAEA.817255
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-Rohardt, G. and Boebel, O. (2017). Physical oceanography during POLARSTERN cruise PS103 (ANT-XXXII/2), https://doi.org/10.1594/PANGAEA.881076
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-Rohardt, G. and Boebel, O. (2020). Physical oceanography during POLARSTERN cruise PS117, https://doi.org/10.1594/PANGAEA.910663
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-Rohardt, G., Fahrbach, E., and Wisotzki, A. (2011): Physical oceanography during POLARSTERN cruise ANT-XXVII/2, https://doi.org/10.1594/PANGAEA.772244
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-SchrÃ¶der, M. (2010). Physical oceanography during POLARSTERN cruise ANT-XII/3, https://doi.org/10.1594/PANGAEA.742581
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-SchrÃ¶der, M. and Wisotzki, A. (2014). Physical oceanography during POLARSTERN cruise PS82 (ANT-XXIX/9), https://doi.org/10.1594/PANGAEA.833299
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-SchrÃ¶der, M., Ryan, S., and Wisotzki, A. (2016). Physical oceanography during POLARSTERN cruise PS96 (ANT-XXXI/2 FROSN), https://doi.org/10.1594/PANGAEA.859040
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-SchrÃ¶der, M., Ryan, S., and Wisotzki, A. (2017a). Physical oceanography and current meter data from mooring AWI252-1, https://doi.org/10.1594/PANGAEA.875931
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-SchrÃ¶der, M., Ryan, S., and Wisotzki, A. (2017b). Physical oceanography and current meter data from mooring AWI253-1, https://doi.org/10.1594/PANGAEA.875932
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-SchrÃ¶der, M., Ryan, S., and Wisotzki, A. (2017c). Physical oceanography and current meter data from mooring AWI254-1, https://doi.org/10.1594/PANGAEA.875933
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-SchrÃ¶der, M., Ryan, S., and Wisotzki, A. (2019a). Physical oceanography and current meter data from mooring AWI252-2, https://doi.org/10.1594/PANGAEA.903104
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-SchrÃ¶der, M., Ryan, S., and Wisotzki, A. (2019b). Physical oceanography and current meter data from mooring AWI253-2, https://doi.org/10.1594/PANGAEA.903315
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-SchrÃ¶der, M., Ryan, S., and Wisotzki, A. (2019c). Physical oceanography and current meter data from mooring AWI254-2, https://doi.org/10.1594/PANGAEA.903317",api,True,findable,0,0,0,0,0,2024-01-09T14:50:26.000Z,2024-01-09T14:50:26.000Z,cern.zenodo,cern,"Weddell Sea,Ocean model,Antarctica,MISOMIP","[{'subject': 'Weddell Sea'}, {'subject': 'Ocean model'}, {'subject': 'Antarctica'}, {'subject': 'MISOMIP'}]",,
-10.6084/m9.figshare.16851102,Additional file 1 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Text,Creative Commons Attribution 4.0 International,"Additional file 1: Fig. S1. NDPK protein expression, kinase activity, and subcellular localization in HeLa clones. HeLa cells were stably transfected with empty vector pcDNA4TO (CTR) or constructs for expression of NDPK-D WT (WT), CL-binding deficient R90D (BD) or kinase dead H151N (KD). A) Immunoblot detection of NDPK-D (NME4) in extracts of the transfected HeLa cells with Î±-tubulin as loading control. B) NDP kinase activity in purified HeLa mitochondria. Values are means Â± SEM (n=3). C) HeLa clones stably transfected with empty vector (CTR), or expressing NDPK-D WT, BD or KD mutants, showing identical labeling of mitochondrion-selective dye MitoTracker Red CMXRos (red) and immunolabeled NDPK-D (green). Mitochondrial network details are indicated by faint line boxes magnified in bold line boxes. Scale bar, 10â€‰Î¼m. D) Immunoblot detection of NDPK-A (NME1) and NDPK-B (NME2) in extracts of the transfected HeLa cells with Î±-tubulin as loading control.",mds,True,findable,0,0,93,1,0,2021-10-22T04:05:09.000Z,2021-10-22T04:05:12.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['3318853 Bytes'],
-10.5281/zenodo.6675912,Dataset: Halving of Swiss glacier volume since 1931 observed from terrestrial image photogrammetry,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is supplementary data for the article currently in review for The Cryosphere, titled ""Halving of Swiss glacier volume since 1931 observed from terrestrial image photogrammetry"". See the preprint here",mds,True,findable,0,0,0,0,0,2022-06-21T15:32:36.000Z,2022-06-21T15:32:37.000Z,cern.zenodo,cern,"Glacier,Photogrammetry,Switzerland,Digital Elevation Model,DEM","[{'subject': 'Glacier'}, {'subject': 'Photogrammetry'}, {'subject': 'Switzerland'}, {'subject': 'Digital Elevation Model'}, {'subject': 'DEM'}]",,
-10.17178/emaa_h2_rovibration_5e046bb5,Rovibration excitation of H2 by H and H+ collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",54 rovibration energy levels / 226 radiative transitions / 1431 collisional transitions for H (50 temperatures in the range 100-5000K) / 325 collisional transitions for H+ (26 temperatures in the range 5-3000K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:53.000Z,2021-11-17T14:00:55.000Z,inist.osug,jbru,"target H2,excitationType Rovibration,collisional excitation,collider.0 H,collider.1 H+,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rovibration', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 H+', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/bandlist_raman_mg-gaspeite,Raman bandlist of natural magnesian Gaspeite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural magnesian Gaspeite at 295K,mds,True,findable,0,0,0,0,0,2023-08-20T14:50:50.000Z,2023-08-20T14:50:51.000Z,inist.sshade,mgeg,"magnesian Gaspeite,Nickel cation,Magnesium(II) cation,Iron(II) cation,Carbonate anion,Gaspeite,Nickel(2+) cation,Magnesium(2+) cation,Iron(2+) cation,14701-22-5,22537-22-0,15438-31-0,Ni2+,Mg2+,Fe2+,(CO3)2-,NiCO3,Gaspeite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Calcite group (Trigonal: R-3c),14.01.01.08,05.AB.05,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'magnesian Gaspeite', 'subjectScheme': 'name'}, {'subject': 'Nickel cation', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) cation', 'subjectScheme': 'name'}, {'subject': 'Iron(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Gaspeite', 'subjectScheme': 'name'}, {'subject': 'Nickel(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Magnesium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Iron(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '14701-22-5', 'subjectScheme': 'CAS number'}, {'subject': '22537-22-0', 'subjectScheme': 'CAS number'}, {'subject': '15438-31-0', 'subjectScheme': 'CAS number'}, {'subject': 'Ni2+', 'subjectScheme': 'formula'}, {'subject': 'Mg2+', 'subjectScheme': 'formula'}, {'subject': 'Fe2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'NiCO3', 'subjectScheme': 'formula'}, {'subject': 'Gaspeite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Calcite group (Trigonal: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.01.08', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.17178/emaa_c(18o)_rotation_1175b5dd,"Rotation excitation of C[18O] by CO, ortho-H2, ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",11 rotation energy levels / 10 radiative transitions / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 91 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 91 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 55 collisional transitions for CO (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:38.000Z,2023-12-07T15:50:38.000Z,inist.osug,jbru,"target C[18O],excitationType Rotation,collisional excitation,collider.0 para-H2O,collider.1 ortho-H2O,collider.2 para-H2,collider.3 ortho-H2,collider.4 CO,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.4 CO', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.3813574,"Data supplement for ""Thin-Film Modeling of Resting and Moving Active Droplets""",Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the data and source files for figures 4-10, 12, and 14-20 in the following publication: S. Trinschek, F. Stegemerten, K. John and U. Thiele <em>""Thin-Film Modeling of Resting and Moving Active Droplets""</em> published in 2020 in Physical Review E. Please follow the instructions given in 'Readme.txt'.",mds,True,findable,8,0,1,0,0,2020-06-07T12:34:13.000Z,2020-06-07T12:34:14.000Z,cern.zenodo,cern,,,,
-10.18709/perscido.2020.05.ds314,Snow albedo over artificial macroscopic surface roughness,PerSciDo,2020,en,Dataset,Creative Commons Attribution 4.0 International,"In situ measurements of albedo were acquired in the French Alps over smooth and rough snow surfaces. The roughness features were artificially created by pushing the snow down a few centimeter with rectangular and triangular rulers (2.5 m long) at regular spacing over a 2.5 m wide area. Spectral albedo over the rough area was recorded just after the creation, or for some experiment regularly over a few hours after the creation. A nearby smooth area was also measured to provide a reference. It is worth noting that despite our effort to search for flat areas, all the measured areas have small yet non-negligible slope. Ancillary data include spectral diffuse / total incident radiation ratio acquired just after each albedo measurements, slope information and other metadata. The accompanying paper provides full details of the roughness and experimental conditions.",fabrica,True,findable,0,0,0,1,0,2020-05-15T14:03:52.000Z,2020-05-15T14:03:53.000Z,inist.persyval,vcob,"Environmental Science and Ecology,Physics","[{'lang': 'en', 'subject': 'Environmental Science and Ecology'}, {'lang': 'en', 'subject': 'Physics'}]",['10 MB'],['csv']
-10.6084/m9.figshare.16786765,Additional file 5 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 5. Protocol summarized version.,mds,True,findable,0,0,16,1,0,2021-10-12T03:42:13.000Z,2021-10-12T03:42:15.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['350276 Bytes'],
-10.17178/ohmcv.smo.cla.13-14.1,"Soil moisture sensor network, Gazel and CladuÃ¨gne catchments",CNRS - OSUG - OREME,2013,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.","The nine sites were equipped with 5 sensors for continuous soil moisture measurements: two at about 10 cm, two at 20â€“25 cm and one at 30â€“50 cm depth, in order to document soil saturation. These 5 sensors are connected to the same datalogger and the observation frequency is 20 min.",mds,True,findable,0,0,1,0,0,2017-03-10T17:09:30.000Z,2017-03-10T17:09:30.000Z,inist.osug,jbru,"Soil Moisture/Water Content,SOIL MOISTURE PROBE,Ground networks","[{'subject': 'Soil Moisture/Water Content', 'subjectScheme': 'main'}, {'subject': 'SOIL MOISTURE PROBE', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.6084/m9.figshare.12270152,Additional file 1 of One-year survival in acute stroke patients requiring mechanical ventilation: a multicenter cohort study,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Study flow diagram.,mds,True,findable,0,0,33,0,0,2020-05-08T04:08:00.000Z,2020-05-08T04:08:01.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['55095 Bytes'],
-10.26302/sshade/experiment_gv_20181121_001,Ag K edge XAS fluorescence of Ag-GSH 1:1 solution (pH=7.4) at 16K,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:40:14.000Z,2019-12-05T14:40:14.000Z,inist.sshade,mgeg,"laboratory,molecular solid solution,Frozen solution of Ag-GSH 1:1 (pH=7.4), model for digonal AgS2 coordination,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of Ag-GSH 1:1 (pH=7.4), model for digonal AgS2 coordination'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.10650737,Combining Loop Shuffling and Code Polymorphism for Enhanced AES Side-Channel Security,Zenodo,2024,en,Dataset,Creative Commons Attribution No Derivatives 4.0 International,"This repository contains the datasets used for deep learning for our paper ""Combining Loop Shuffling and Code Polymorphism for Enhanced AES Side-Channel Security"", published at COSADE 2024.
-
-It contains:- A dataset of traces measured on a STM32F7. Detailed experimental setup is available in the paper. The traces measured are long enough to contain the full first round of the AES.- A dataset of simulated traces. Simulated traces output 2 samples for each instruction executed: one sample consisting of the sum of the Hamming weights of the input registers, and one sample consisting of (the sum of) the Hamming weight(s) of the output register(s). The traces contain all rounds of the AES.
-
-Note that the plaintexts file is different in both dataset.
-
-**IMPORTANT NOTE:**This dataset stems from a serie of experiments carried on a particular implementation of AES, with particular configurations of the countermeasures. We stress that other security levels (lower or higher) can be reached with the considered countermeasures depending on the platform, the implementation, the configuration of the countermeasures etc. In particular, the code polymorphism countermeasure is highly configurable, and this dataset is limited to the configuration described in the paper.",api,True,findable,0,0,0,0,0,2024-02-12T14:54:51.000Z,2024-02-12T14:54:51.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_dco-plus_rotation_0e47c7b0,Rotation excitation of DCO+ by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 231 collisional transitions for para-H2 (9 temperatures in the range 10-200K) / 132 collisional transitions for electron (12 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:46.000Z,2021-11-18T13:34:47.000Z,inist.osug,jbru,"target DCO+,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DCO+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.6685515,Natural color composites of VENÂµs images over South Col Glacier,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This datasets contain images of South Col Glacier obtained from VENÂµs platform from 27 Nov 2017 to 30 Oct 2020. The images are shown on a UTM45\WGS84 projection, and correspond to the band combination 7-4-3. The two stars show remarkable locations.",mds,True,findable,0,0,0,0,0,2022-06-22T14:46:29.000Z,2022-06-22T14:46:30.000Z,cern.zenodo,cern,"venus,images,south col glacier","[{'subject': 'venus'}, {'subject': 'images'}, {'subject': 'south col glacier'}]",,
-10.26302/sshade/experiment_dt_20180117_001,Cr K edge XAS transmission of Cr metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T07:50:58.000Z,2019-11-16T07:50:59.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Cr,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Cr'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.25647/liepp.wp.38bis,"Better residential than ethnic discrimination! ( LIEPP Working Paper, nÂ°38 bis)",Sciences Po - LIEPP,2015,en,Other,,"Access to housing is difficult for minorities in France. An audit study we run in the Paris area showed that minority applicants do not face a strong disadvantage in the first step of the application; however, the fact that applicants come from a deprived area leads to more frequent unfavorable outcome (we call this residential discrimination as opposed to ethnic discrimination). The puzzle and paradox come from the fact that face-to-face interviews with real-estate agents in the city of Paris and the Parisian region DO NOT confirm this result. If anything, all discrimi-nation arise from ethnicity and agents dis-miss residential discrimination. Our paper, forthcoming in Urban Studies, documents this contrast between quantitative and qualitative methods and proposes interpretations.",fabricaForm,True,findable,0,0,0,0,0,2022-04-07T13:11:39.000Z,2022-04-07T13:11:40.000Z,vqpf.dris,vqpf,FOS: Social sciences,"[{'subject': 'FOS: Social sciences', 'valueUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'schemeUri': 'http://www.oecd.org/science/inno', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5281/zenodo.8303080,Benchmark Lab for Hypercompliance Properties on Event Logs,Zenodo,2023,en,Software,"GNU General Public License v2.0 or later,Open Access","This LabPal experimental environment contains the benchmark for hypercompliance properties on event logs, as described in the paper <em>Hypercompliance: Business Process Compliance Across Multiple Executions</em>, published at the EDOC 2023 conference. <strong>Context</strong> Compliance checking is an operation that assesses whether every execution trace of a business process satisfies a given correctness condition. Our work introduces the notion of a hyperquery, which involves multiple traces from a log at the same time. A specific instance of a hyperquery is a hypercompliance condition, which is a correctness requirement that involves the entire log instead of individual process instances. This lab proposes a benchmark for an extension of the BeepBeep 3 event stream engine designed to evaluate hyperqueries on event logs. It evaluates various hyperqueries on event logs that are either synthetic or sourced from real-world online log repositories. Among the elements evaluated are the total and progressive running time needed to evaluate a query, as well as the amount of memory consumed. <strong>Description</strong> This archive contains an instance of LabPal, an environment for running experiments on a computer and collecting their results in a user-friendly way. The author of this archive has set up a set of experiments, which typically involve running scripts on input data, processing their results and displaying them in tables and plots. LabPal is a library that wraps around these experiments and displays them in an easy-to-use web interface. The principle behind LabPal is that all the necessary code, libraries and input data should be bundled within a single self-contained JAR file, such that anyone can download and easily reproduce someone else's experiments. All the plots and other data values mentioned in the paper are automatically generated by the execution of this lab. The lab also provides additional tables and plots that could not fit into the manuscript. Detailed instructions can be found on the LabPal website, [https://liflab.github.io/labpal] <strong>Dataset contents</strong> In addition to this Readme, the dataset is made of three files: hypercompliance-lab-1.0.jar is the runnable instance of the lab hypercompliance-lab-1.0-sources.jar contains the source code of the BeepBeep library and the benchmark hypercompliance-lab-1.0-javadoc.jar contains the documentation of the BeepBeep library and the benchmark <strong>Running LabPal</strong> To start the lab, open a terminal window and type at the command line: <pre><code>java -jar hypercompliance-lab-1.0.jar --autostart</code></pre> You should see something like this: <pre><code>LabPal 2.99 - A versatile environment for running experiments (C) 2014-2022 Laboratoire d'informatique formelle UniversitÃ© du QuÃ©bec Ã  Chicoutimi, Canada Please visit http://localhost:21212/index to run this lab Hit Ctrl+C in this window to stop</code></pre> Open a web browser and type `http://localhost:21212/index` in the address bar. This should lead you to the main page of LabPal's web control panel. <strong>Using the web interface</strong> A detailed explanation on the use of the LabPal web interface can be found in this YouTube video. A lab is made of a set of *experiments*, each corresponding to a specific set of instructions that runs and generates a subset of all the benchmark's results. Results from experiments are collected and processed into various auto-generated tables and plots. The lab is instructed to immediately start running all the expermients it<br> contains. You can follow the progress of these experiments by going to the<br> Status page and refreshing it periodically. At any point, you can look at<br> the results of the experiments that have run so far. You can do so by: Going to the Plots (5th button in the top menu) or the Tables (6th button) page and see the plots and tables created for this lab being updated in real time Going back to the list of experiments, clicking on one of them and getting the detailed description and data points that this experiment has generated Once the assistant is done, you can export any of the plots and tables to a file, or the raw data points by using the Export button in the Status page.",mds,True,findable,0,0,0,0,0,2023-08-30T20:54:07.000Z,2023-08-30T20:54:08.000Z,cern.zenodo,cern,"compliance checking,business process logs,BeepBeep,hyperqueries,hypercompliance,hyperproperties","[{'subject': 'compliance checking'}, {'subject': 'business process logs'}, {'subject': 'BeepBeep'}, {'subject': 'hyperqueries'}, {'subject': 'hypercompliance'}, {'subject': 'hyperproperties'}]",,
-10.26302/sshade/experiment_mc_20181026_1,"Vis-IR spectroscopy of mixtures including water ice, kerite, and pyrrhotite",SSHADE/REFL_SLAB (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","We measured the Vis-IR spectral reflectance of mixtures including water ice, kerite, and pyrrhotite, with varying abundances, mixing modality, and grain size",mds,True,findable,0,0,0,0,0,2021-11-02T09:16:14.000Z,2021-11-02T09:16:15.000Z,inist.sshade,mgeg,"solid,laboratory,inorganic molecular solid,water ice,carbonaceous,natural terrestrial,complex macromolecular mixture,Low kerite (albertite) PAM#42,sulfide,Pyrrhotite (iron_sulfide),laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'water ice'}, {'subject': 'carbonaceous'}, {'subject': 'natural terrestrial'}, {'subject': 'complex macromolecular mixture'}, {'subject': 'Low kerite (albertite) PAM#42'}, {'subject': 'sulfide'}, {'subject': 'Pyrrhotite (iron_sulfide)'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['17 spectra'],['ASCII']
-10.6084/m9.figshare.22610681,Additional file 1 of Efficacy and auditory biomarker analysis of fronto-temporal transcranial direct current stimulation (tDCS) in targeting cognitive impairment associated with recent-onset schizophrenia: study protocol for a multicenter randomized double-blind sham-controlled trial,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Ethical approval.,mds,True,findable,0,0,0,0,0,2023-04-13T12:04:21.000Z,2023-04-13T12:04:22.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,69999 Biological Sciences not elsewhere classified,Science Policy,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Science Policy'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1737833 Bytes'],
-10.17178/ohmcv.dsd.vb1.12-16.1,"DSD network, Villeneuve-de-Berg-1",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:23.000Z,2017-10-17T13:24:24.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.15778/resif.zs2007,SEISMOTANZ'07,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2007,en,Other,"Open Access,Creative Commons Attribution 4.0 International","Understanding the forces that initiate continental break-up needs to find sites where magmatism and rifting interact. The thermal structure of the mantle and the crust, the products of partial melting, the position(s) and nature(s) of the inherited structures (cratonic blocks, old lithospheric sutures) play a key role on earthquake genesis and have to be studied into details using different, multi-scale, approaches. The North Tanzanian Divergence (NTD) is one of the unique areas in the world where such objectives can be achieved. Two main questions are driving our project : (1) Is there a characteristic plume impact at depth that modifies the rheology and strength of the lithosphere? (2) Can we identify there, through seismicity and kinematic indicators, the dimension of main active faults and the way deformation is occurring We installed a temporary network of 34 stations for 6 months to follow more precisely the micro-seismicity and infer crust structure.",mds,True,findable,0,0,0,4,0,2018-04-04T12:43:27.000Z,2018-04-04T12:43:27.000Z,inist.resif,vcob,"North Tanzanian Divergence,East African Rift,Africa,rifting process,micro-seismicity,crust structure","[{'subject': 'North Tanzanian Divergence'}, {'subject': 'East African Rift'}, {'subject': 'Africa'}, {'subject': 'rifting process'}, {'subject': 'micro-seismicity'}, {'subject': 'crust structure'}]",,
-10.5281/zenodo.6802738,Magnetic imaging with spin defects in hexagonal boron nitride,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Data relative to the publication arXiv:2207.10477,mds,True,findable,0,0,0,0,0,2022-07-19T13:31:24.000Z,2022-07-19T13:31:25.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_zd_20160831_01,MIR spectrocopy of Paris meteorite,SSHADE/DAYSY (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Hyper-spectrale MIR spectroscopy of Paris meteorite in tranmission (sample crushed in a diamand compression cell),mds,True,findable,0,0,0,0,0,2022-05-27T17:03:26.000Z,2022-05-27T17:03:26.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix Paris,complex mineral mix,chondrules Paris,CAIs Paris,laboratory measurement,transmission,micro-imaging,MIR,Mid-Infrared","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Paris'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Paris'}, {'subject': 'CAIs Paris'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'micro-imaging'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}]",['4 spectra'],['ASCII']
-10.5061/dryad.qrfj6q5fk,Derivation of the functional response of a foraging herbivore,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"The actual rate of food intake of a consumer depends on the way this animal shares its time between its different activities. Using a mathematical approach, we show how the proportions of time an herbivore spends searching for food, cropping food, and handling food, determine its feeding rate. We also show how this feeding rate is affected by the animal's ability to detect food and to handle it. The equation we finally get corresponds to the herbivore's functional response.",mds,True,findable,141,8,0,1,0,2021-05-06T12:45:00.000Z,2021-05-06T12:45:01.000Z,dryad.dryad,dryad,,,['552842 bytes'],
-10.5281/zenodo.10551249,"Data supporting 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model'",Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"The dataset supporting our publication 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model'Â inÂ Geophysical Research Letters.
-
-The main .zip archive contains a set of NetCDF files detailing:
-
-
-
-Initial optimised glacier states (geology-optimized...)
-
-Simulation results (Prog20...)
-
-
-Initial states and results are given by cluster (see Figure 1 in the paper), as shown in all filenames (C1 through to C12). Prognostic simulation filenames additionally distinguish between runs between 1999 and 2019 (Prog2020) and between 2020 and 2050 (Prog2050). 'NV'/'NoVel' and 'NT'/'NoThk' refer to simulations using the partial optimisation (optimisation without including velocity/thickness observations) as detailed in the paper. 'AV' at the end of the filename denotes the integrated area/volume results file, as opposed to the 2D raster results file. A 'V' before the cluster designation shows that the simulation used the variable SMB as opposed to the fixed SMB (see the paper for details). 'ID' before the cluster designation shows that the simulation was using extrapolated SMB based on the trend in SMB since 2000, instead of assuming the continuation of the current SMB. 'ID' on its own denotes linear extrapolation and 'IDQ' denotes quadratic extrapolation (not used in the published paper). 'SMBF' in the filename shows that the simulation used the SMB-elevation feedback.
-
-The additional .zip archive contains the code of IGM v1.0 used to produce the model results. For details on installing and using IGM, please see the Github page atÂ https://github.com/jouvetg/igm.
-
-A further .zip archive (in version 3 - Sims2010-2022.zip) contains the simulations based on linear extrapolation of the observed trend in SMB between 2010 and 2022, following the same nomenclature as in the principal archive (see above).",api,True,findable,0,0,0,0,0,2024-01-22T14:00:42.000Z,2024-01-22T14:00:42.000Z,cern.zenodo,cern,"Glacier,Alps,Numerical modelling,Deep learning,Climate change","[{'subject': 'Glacier'}, {'subject': 'Alps'}, {'subject': 'Numerical modelling'}, {'subject': 'Deep learning'}, {'subject': 'Climate change'}]",,
-10.57745/ktfzqd,Fichiers QGIS et Excel des cas d'Ã©tude d'application du protocole d'aide Ã  la dÃ©cision pour le traitement des embÃ¢cles (protocole de Wohl et al. 2019 adaptÃ© par Benaksas et Piton 2022),Recherche Data Gouv,2023,,Dataset,,"Chaque archive se rapporte Ã  un cas d'Ã©tude du rapport de Benaksas &amp; Piton (2022), Ã  savoir: Le Bresson (IsÃ¨re) Torrent de montagne et Alloix (IsÃ¨re) Ruisseau de montagne, Le Lagamas (HÃ©rault) Ruisseau mÃ©diterranÃ©en, La Brague (Alpes-Maritimes) RiviÃ¨re mÃ©diterranÃ©enne, La Clamoux (Aude) RiviÃ¨re torrentielle mÃ©diterranÃ©enne. Chaque archive contient trois documents maÃ®tres et les fichiers sources associÃ©s permettant de faciliter l'application du protocole de Wohl et al. (2019) tel que adaptÃ© par Benaksas &amp; Piton (2022): Le fichier export_csv_vers_shp.qgz est un projet QGIS qui a facilitÃ© la transformation en donnÃ©es SIG des fichiers textes (format .csv) importÃ©s de l'application Epicollect 5 tel que dÃ©crit dans l'Annexe C du rapport de Benaksas et Piton (2023) , L'autre fichier "".gqz"" est un projet QGIS qui facilite l'affichage et l'interprÃ©tation des donnÃ©es SIG compilÃ©es prÃ©alablement aux missions de terrains et sur le terrain via l'application Epicollect 5 tel que dÃ©crit dans les Annexe C et D u rapport de Benaksas et Piton (2023) , ResultatsProtocole_epicollecte.xlsx est un tableur Excel qui a facilitÃ© la notation des indicateurs de l'approche multicritÃ¨re, qui permet la modification Ã©ventuelle des pondÃ©rations entre sous-critÃ¨res, et qui a menÃ© le calcul des scores pondÃ©rÃ©s fournis dans le rapport et a prÃ©parÃ© les sorties graphiques fournies dans le rapport. Nota: Le cas d'Ã©tude du BrÃ©da (IsÃ¨re) riviÃ¨re de montagne affluent de l'IsÃ¨re ayant servi Ã  caler le protocole, les donnÃ©es associÃ©es Ã  ce cas d'Ã©tude ne sont pas homogÃ¨nes et ne sont ainsi pas mis librement Ã  disposition. Elles peuvent Ã©ventuellement Ãªtre mises Ã  disposition sur demande directe Ã  Guillaume Piton.",mds,True,findable,91,4,0,0,0,2023-03-06T13:05:38.000Z,2023-03-06T14:03:27.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.10392426,"Data for ""An autonomous quantum machine to measure the thermodynamic arrow of time""",Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Numerical simulation data from the article ""An autonomous quantum machine to measure the thermodynamic arrow of time""
-
-J. Monsel, C. Elouard, A. AuffÃ¨ves npj Quantum Inf 4, 59 (2018). https://doi.org/10.1038/s41534-018-0109-8
-
-See the jupyter notebook for the data analysis and figures.
-
-The code to perform the numerical simulations is given in the repository https://gitlab.com/juliette.monsel/jarzynski-equality-in-optomechanical-system.",api,True,findable,0,0,0,0,0,2023-12-18T17:28:47.000Z,2023-12-18T17:28:48.000Z,cern.zenodo,cern,"quantum thermodynamics,optomechanics,fluctuation theorems,open quantum systems","[{'subject': 'quantum thermodynamics'}, {'subject': 'optomechanics'}, {'subject': 'fluctuation theorems'}, {'subject': 'open quantum systems'}]",,
-10.5061/dryad.sq67g,"Data from: Mutator genomes decay, despite sustained fitness gains, in a long-term experiment with bacteria",Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"Understanding the extreme variation among bacterial genomes remains an unsolved challenge in evolutionary biology, despite long-standing debate about the relative importance of natural selection, mutation, and random drift. A potentially important confounding factor is the variation in mutation rates between lineages and over evolutionary history, which has been documented in several species. Mutation accumulation experiments have shown that hypermutability can erode genomes over short timescales. These results, however, were obtained under conditions of extremely weak selection, casting doubt on their general relevance. Here, we circumvent this limitation by analyzing genomes from mutator populations that arose during a long-term experiment with Escherichia coli, in which populations have been adaptively evolving for &gt;50,000 generations. We develop an analytical framework to quantify the relative contributions of mutation and selection in shaping genomic characteristics, and we validate it using genomes evolved under regimes of high mutation rates with weak selection (mutation accumulation experiments) and low mutation rates with strong selection (natural isolates). Our results show that, despite sustained adaptive evolution in the long-term experiment, the signature of selection is much weaker than that of mutational biases in mutator genomes. This finding suggests that relatively brief periods of hypermutability can play an outsized role in shaping extant bacterial genomes. Overall, these results highlight the importance of genomic draft, in which strong linkage limits the ability of selection to purge deleterious mutations. These insights are also relevant to other biological systems evolving under strong linkage and high mutation rates, including viruses and cancer cells.",mds,True,findable,436,103,1,1,0,2017-09-30T03:27:49.000Z,2017-09-30T03:27:51.000Z,dryad.dryad,dryad,,,['1138559234 bytes'],
-10.5281/zenodo.6913393,Evidence of dual Shapiro steps in a Josephson junction array,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","QCodes type databases containing raw data associated with the paper ""Evidence of dual Shapiro steps in a Josephson junctions array"" by N. Crescini, S. Cailleaux et al. acquired in the Institut Neel, CNRS, Grenoble, France between January 2022 and June 2022. There are two databases: one contains the characterization of the sample without microwave pump and the other one contains the study of the sample under microwave irradiation. Two Jupyter notebooks (python 3.8.11) are provided to analyze the datasets contained in the databases and reproduce the results of the article. For any additional information please contact: nicolo.crescini@neel.cnrs.fr or samuel.cailleaux@neel.cnrs.fr",mds,True,findable,0,0,0,1,0,2022-07-27T12:45:12.000Z,2022-07-27T12:45:13.000Z,cern.zenodo,cern,"Josephson junction,Superconductivity,Circuit QED,Metrology,Quantum physics","[{'subject': 'Josephson junction'}, {'subject': 'Superconductivity'}, {'subject': 'Circuit QED'}, {'subject': 'Metrology'}, {'subject': 'Quantum physics'}]",,
-10.15778/resif.xq2020,"CHAUVET temporary experiment for study on seismic hazards applied to the Chauvet Cave, France (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2024,,Dataset,,"The Chauvet Cave (ArdÃ¨che), discovered in 1994, is characterised by its cave art, which is among the oldest images of mankind, by its numerous palaeontological remains and by its remarkable state of preservation. It has been condemned to the public since its discovery for preservation. However, this stable state of preservation is linked to the climatological regulation of the scree that closes the entrance to the prehistoric porch. It seems to be settling down and another stage of the cliff's collapse remains to be assessed with the analysis of the stability of the Pillar of Abraham.The epicenter of the Le Teil earthquake 2019 is located at the northeastern part of the CÃ©vennes fault system and the Chauvet cave sits in the immediate vicinity of the southwestern part of this active fault system. Within the framework of the programme funded by AURA PAI, the main aim is to monitor and define the vulnerabilities of the entrance area to the Chauvet cave and more specifically to analyse the response of the pilar evolution to climatic and seismic triggers.",mds,True,findable,0,0,0,0,0,2022-03-15T16:00:25.000Z,2022-03-15T16:01:51.000Z,inist.resif,vcob,"Heritage,Risk,Earthquake,RockSlide,Cave","[{'subject': 'Heritage'}, {'subject': 'Risk'}, {'subject': 'Earthquake'}, {'subject': 'RockSlide'}, {'subject': 'Cave'}]","['3 stations, 46Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.26302/sshade/experiment_bms_20120101_001,VUV and IR absorbance spectra between 10 and 130 K of CH3COOCH3 deposited at 10 K,SSHADE/ACID (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",VUV and IR absorbance spectra between 10 and 130 K of CH3COOCH3 deposited at 10 K,mds,True,findable,0,0,0,0,0,2021-03-01T20:11:36.000Z,2021-03-01T20:11:37.000Z,inist.sshade,mgeg,"laboratory,organic molecular solid,amorphous CH3COOCH3 ice,laboratory measurement,transmission,macroscopic,VUV,Vacuum Ultraviolet,absorbance","[{'subject': 'laboratory'}, {'subject': 'organic molecular solid'}, {'subject': 'amorphous CH3COOCH3 ice'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'VUV'}, {'subject': 'Vacuum Ultraviolet'}, {'subject': 'absorbance'}]",['7 spectra'],['ASCII']
-10.5281/zenodo.5744873,"High-resolution spatialization for estimation of precipitation in the Cordillera Blanca, Peru",Zenodo,2021,en,Image,"Creative Commons Attribution 4.0 International,Open Access","Supplementary materials for the article ""High-resolution spatialization for estimation of precipitation in the Cordillera Blanca, Peru""",mds,True,findable,0,0,0,0,0,2021-11-30T15:53:00.000Z,2021-11-30T15:53:01.000Z,cern.zenodo,cern,"Precipitation, regression model, cordillera Blanca, RMSE","[{'subject': 'Precipitation, regression model, cordillera Blanca, RMSE'}]",,
-10.5061/dryad.cvdncjt2p,Phylogenetic signatures of ecological divergence and leapfrog adaptive radiation in Espeletia,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"PREMISE: Events of accelerated species diversification represent one of Earthâ€™s most celebrated evolutionary outcomes. Northern Andean high-elevation ecosystems, or pÃ¡ramos, host some plant lineages that have experienced the fastest diversification rates, likely triggered by ecological opportunities created by mountain uplifts, local climate shifts and key trait innovations. However, the mechanisms behind rapid speciation into the new adaptive zone provided by these opportunities have long remained unclear. METHODS: We address this issue by studying the Venezuelan clade of Espeletia, a species-rich group of pÃ¡ramo-endemics showing a dazzling ecological and morphological diversity. We performed a number of comparative analyses to study both lineage and trait diversification, using an updated molecular phylogeny of this plant group. KEY RESULTS: We showed that sets of either vegetative or reproductive traits have conjointly diversified in Espeletiaalong different vegetation belts, leading to adaptive syndromes. Diversification in vegetative traits occurred earlier than in reproductive ones. The rate of species and morphological diversification showed a tendency to slow down over time, probably due to diversity dependence. We also found that closely related species exhibit significantly more overlap in their geographic distributions than distantly related taxa, suggesting that most events of ecological divergence occurred at close geographic proximity within pÃ¡ramos. CONCLUSIONS: These results provide compelling support for a scenario of small-scale ecological divergence along multiple ecological niche dimensions, possibly driven by competitive interactions between species, and acting sequentially over time in a leapfrog pattern.",mds,True,findable,142,7,0,0,0,2020-09-23T16:16:48.000Z,2020-09-23T16:16:49.000Z,dryad.dryad,dryad,,,['266719014 bytes'],
-10.26302/sshade/experiment_bs_20120925_001,Near-IR Optical constants spectra of alpha and beta N2 ices at different temperatures,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Near-IR Optical constants spectra of alpha and beta N2 ices in the 33 K - 43 K range. A change of solid phases is observed at 35.6 K between alpha and beta phases,mds,True,findable,0,0,0,0,0,2019-11-02T09:29:37.000Z,2019-11-02T09:29:38.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,N2 crystalline - beta phase,N2 crystalline - alpha phase,laboratory measurement,transmission,macroscopic,NIR,Near-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'N2 crystalline - beta phase'}, {'subject': 'N2 crystalline - alpha phase'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'optical constants'}]",['6 spectra'],['ASCII']
-10.5281/zenodo.10048443,Spring snow albedo feedback in daily data over Russia: Comparing in-situ measurements with reanalysis products,Zenodo,2023,,Text,Creative Commons Attribution 4.0 International,"Poster for the ASSW 2017 and AGU 2016 conferenceÂ showing results from Wegmann et al. 2018.
-
-Wegmann, M., Dutra, E., Jacobi, H.W. & Zolina, O. (2018). Spring snow albedo feedback over Northern Eurasia: Comparing in-situ measurements with reanalysis products. The Cryosphere, 12(6), 1887-1898",api,True,findable,0,0,0,0,0,2023-10-27T18:27:29.000Z,2023-10-27T18:27:29.000Z,cern.zenodo,cern,"snow,albedo,reanalysis,climate,observations,russia","[{'subject': 'snow'}, {'subject': 'albedo'}, {'subject': 'reanalysis'}, {'subject': 'climate'}, {'subject': 'observations'}, {'subject': 'russia'}]",,
-10.5061/dryad.qrfj6q5hv,Unique and shared effects of local and catchment predictors over distribution of hyporheic organisms: does the valley rule the stream?,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"This dataset describe the distribution of two hyporheic crustacean taxa (Bogidiellidae, Amphipoda and Anthuridae, Isopoda) in streams of New Caledonia. We sampled the two taxa at 228 sites. At each site, we quantified nine local predictors related to habitat area and stability, sediment metabolism and water origin, and eight catchment predictors related to geology, area, primary productivity, land use and specific discharge.",mds,True,findable,131,6,0,1,0,2022-02-17T19:46:34.000Z,2022-02-17T19:46:36.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,Species distribution model,spatial scale,hyporheic zone,subterranean crustaceans,New Caledonia,Bogidiellidae,Amphipoda,Anthuridae,Isopoda,local,catchment","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Species distribution model'}, {'subject': 'spatial scale'}, {'subject': 'hyporheic zone'}, {'subject': 'subterranean crustaceans'}, {'subject': 'New Caledonia', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Bogidiellidae'}, {'subject': 'Amphipoda'}, {'subject': 'Anthuridae'}, {'subject': 'Isopoda'}, {'subject': 'local'}, {'subject': 'catchment'}]",['64550 bytes'],
-10.26302/sshade/experiment_cl_20181201_03,Ion irradiation ($He^+$) of a LancÃ© meteorite pellet probed by Vis-NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR spectra of LancÃ© meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T17:00:44.000Z,2022-05-27T17:00:45.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CO,complex organic-mineral mix,matrix LancÃ©,complex mineral mix,chondrules LancÃ©,CAIs LancÃ©,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CO'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix LancÃ©'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules LancÃ©'}, {'subject': 'CAIs LancÃ©'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.26302/sshade/experiment_bs_20201114_015,"Near-infrared reflectance spectra at low temperature (300-70K) of Ammonium nitrate-IV and -V [(NH4)NO3] powders with three grain size ranges (32-80, 80-125 and 125-150Âµm)",SSHADE/CSS (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Near-infrared reflectance spectra at low temperature of Ammonium nitrate-IV (290-256K) and Ammonium nitrate-V (255-70K) powder [(NH4)NO3] with 32-80 Âµm grain size and Ammonium nitrate-IV powder at room temperature with 80-125Âµm and 125-150Âµm grain sizes,mds,True,findable,0,0,0,0,0,2022-04-23T08:18:52.000Z,2022-04-23T08:18:53.000Z,inist.sshade,mgeg,"commercial,nitrate,Ammonium nitrate-IV,Ammonium nitrate (phase V),laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'commercial'}, {'subject': 'nitrate'}, {'subject': 'Ammonium nitrate-IV'}, {'subject': 'Ammonium nitrate (phase V)'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['42 spectra'],['ASCII']
-10.15778/resif.yj2015,"SLIDEQUAKES temporary experiment, Italy (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2017,,Dataset,,"Two small antenna installed: 1) on an landslide in the Dolomites (N-Italy), in order to investigate its structure and monitor its motion; 2) on Piton de la Fournaise volcano to investigate the relations between the earthquakes and the small landslides in the caldera.",mds,True,findable,0,0,0,0,0,2022-03-17T15:28:30.000Z,2022-03-17T15:28:59.000Z,inist.resif,vcob,"Landslide detection,Seismic wave analysis,Local scale modelling","[{'subject': 'Landslide detection'}, {'subject': 'Seismic wave analysis'}, {'subject': 'Local scale modelling'}]","['4 stations, 47Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.26302/sshade/experiment_soc_20181115_002,"Fe K edge XAS HERFD (Kbeta1,3) and XES of synthetic cementite Fe3C at ambient conditions",SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:21:23.000Z,2019-12-05T14:21:38.000Z,inist.sshade,mgeg,"solid,commercial,homopolymer,Cellulose,laboratory,non-oxide ceramic,Fe3C,oxide-hydroxide,Fe3O4,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'homopolymer'}, {'subject': 'Cellulose'}, {'subject': 'laboratory'}, {'subject': 'non-oxide ceramic'}, {'subject': 'Fe3C'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Fe3O4'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['3 spectra'],['ASCII']
-10.26302/sshade/experiment_lb_20210201_001,"NIR reflectance spectrum (i=0Â°, e=30Â°) of raw pieces, powdered samples and polished sections of ungrouped carbonaceous chondrites under ambient pressure and temperature",SSHADE/GhoSST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR reflectance spectrum (i=0Â°, e=30Â°) of raw pieces, powdered samples and polished sections of NWA 12957, Chwichiya 002, NWA 11750, NWA 11086, Aydar 003, NWA 5958,El Medano 100, El Medano 200, Acfer 094, Dhofar 2066, Kakangari, Los Vientos 200, NWA 8781, NWA 12472, NWA 12474, Sierra Gorda 009, Awsserd, Los Vientos 051, NWA 12334, NWA 12480, Coolidge and Jiddat Al Harasis 846 under ambient pressure and temperature",mds,True,findable,0,0,0,0,0,2021-02-09T07:16:26.000Z,2021-02-09T07:16:27.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,C ungrouped,complex organic-mineral mix,matrix NWA12957,complex mineral mix,chondrules NWA12957,CAIs NWA12957,matrix Chwichiya002,chondrules Chwichiya002,CAIs Chwichiya002,matrix NWA11750,chondrules NWA11750,CAIs NWA11750,CM,matrix NWA11086,chondrules NWA11086,CAIs NWA11086,matrix Aydar003,chondrules Aydar003,CAIs Aydar003,matrix NWA5958,chondrules NWA5958,CAIs NWA5958,matrix ElMÃ©dano100,chondrules ElMÃ©dano100,CAIs ElMÃ©dano100,matrix Dhofar2066,chondrules Dhofar2066,CAIs Dhofar2066,Kakangari-like chondrite,K,matrix Kakangari,chondrules Kakangari,CAIs Kakangari,CH,matrix LosVientos200,chondrules LosVientos200,CAIs LosVientos200,matrix NWA8781,chondrules NWA8781,CAIs NWA8781,CR,matrix NWA12474,chondrules NWA12474,CAIs NWA12474,ungrouped chondrite,not classified,matrix SierraGorda009,chondrules SierraGorda009,CAIs SierraGorda009,Rumuruti-like chondrite,R,matrix Awsserd,chondrules Awsserd,CAIs Awsserd,matrix NWA12472,chondrules NWA12472,CAIs NWA12472,matrix LosVientos051,chondrules LosVientos051,CAIs LosVientos051,ordinary chondrite,LL,matrix NWA12334,chondrules NWA12334,CAIs NWA12334,None,metal JAH846,silicates JAH846,primitive achondrite,acapulcoite,metal NWA12480,silicates NWA12480,ungrouped,matrix Acfer094,chondrules Acfer094,CAIs Acfer094,matrix ElMedano200,chondrules ElMedano200,CAIs ElMedano200,matrix Coolidge,chondrules Coolidge,CAIs Coolidge,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'C ungrouped'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix NWA12957'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules NWA12957'}, {'subject': 'CAIs NWA12957'}, {'subject': 'matrix Chwichiya002'}, {'subject': 'chondrules Chwichiya002'}, {'subject': 'CAIs Chwichiya002'}, {'subject': 'matrix NWA11750'}, {'subject': 'chondrules NWA11750'}, {'subject': 'CAIs NWA11750'}, {'subject': 'CM'}, {'subject': 'matrix NWA11086'}, {'subject': 'chondrules NWA11086'}, {'subject': 'CAIs NWA11086'}, {'subject': 'matrix Aydar003'}, {'subject': 'chondrules Aydar003'}, {'subject': 'CAIs Aydar003'}, {'subject': 'matrix NWA5958'}, {'subject': 'chondrules NWA5958'}, {'subject': 'CAIs NWA5958'}, {'subject': 'matrix ElMÃ©dano100'}, {'subject': 'chondrules ElMÃ©dano100'}, {'subject': 'CAIs ElMÃ©dano100'}, {'subject': 'matrix Dhofar2066'}, {'subject': 'chondrules Dhofar2066'}, {'subject': 'CAIs Dhofar2066'}, {'subject': 'Kakangari-like chondrite'}, {'subject': 'K'}, {'subject': 'matrix Kakangari'}, {'subject': 'chondrules Kakangari'}, {'subject': 'CAIs Kakangari'}, {'subject': 'CH'}, {'subject': 'matrix LosVientos200'}, {'subject': 'chondrules LosVientos200'}, {'subject': 'CAIs LosVientos200'}, {'subject': 'matrix NWA8781'}, {'subject': 'chondrules NWA8781'}, {'subject': 'CAIs NWA8781'}, {'subject': 'CR'}, {'subject': 'matrix NWA12474'}, {'subject': 'chondrules NWA12474'}, {'subject': 'CAIs NWA12474'}, {'subject': 'ungrouped chondrite'}, {'subject': 'not classified'}, {'subject': 'matrix SierraGorda009'}, {'subject': 'chondrules SierraGorda009'}, {'subject': 'CAIs SierraGorda009'}, {'subject': 'Rumuruti-like chondrite'}, {'subject': 'R'}, {'subject': 'matrix Awsserd'}, {'subject': 'chondrules Awsserd'}, {'subject': 'CAIs Awsserd'}, {'subject': 'matrix NWA12472'}, {'subject': 'chondrules NWA12472'}, {'subject': 'CAIs NWA12472'}, {'subject': 'matrix LosVientos051'}, {'subject': 'chondrules LosVientos051'}, {'subject': 'CAIs LosVientos051'}, {'subject': 'ordinary chondrite'}, {'subject': 'LL'}, {'subject': 'matrix NWA12334'}, {'subject': 'chondrules NWA12334'}, {'subject': 'CAIs NWA12334'}, {'subject': 'None'}, {'subject': 'metal JAH846'}, {'subject': 'silicates JAH846'}, {'subject': 'primitive achondrite'}, {'subject': 'acapulcoite'}, {'subject': 'metal NWA12480'}, {'subject': 'silicates NWA12480'}, {'subject': 'ungrouped'}, {'subject': 'matrix Acfer094'}, {'subject': 'chondrules Acfer094'}, {'subject': 'CAIs Acfer094'}, {'subject': 'matrix ElMedano200'}, {'subject': 'chondrules ElMedano200'}, {'subject': 'CAIs ElMedano200'}, {'subject': 'matrix Coolidge'}, {'subject': 'chondrules Coolidge'}, {'subject': 'CAIs Coolidge'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['60 spectra'],['ASCII']
-10.5281/zenodo.7006744,"Simulation outputs associated to the study: ""Brief communication: Everest South Col Glacier did not thin during the last three decades"" by Brun et al.",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This folder contains the outputs of the South Col Glacier mass balance simulations used in the study: ""Brief communication: Everest South Col Glacier did not thin during the last three decades"" by Brun et al., submitted to The Cryophere Journal in August 2022. The simulation outputs are obtained with two different models: COSIPY (Sauter et al., 2010) and Crocus (Vionnet et al., 2012). Note that forcing and initialization information are provided to reproduce Crocus simulations.",mds,True,findable,0,0,0,0,0,2022-08-18T09:29:42.000Z,2022-08-18T09:29:42.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10440364,Replication package for article: From low-level fault modeling (of a pipeline attack) to a proven hardening scheme,Zenodo,2024,en,Software,,"This software package is the Docker image of a project about protecting RISC-V processors against certain low-level fault attacks. It mainlyÂ contains a modified LLVM, GNU binutils, QEMU, and test scripts.
-
-Project repository from which this image is built:Â https://gricad-gitlab.univ-grenoble-alpes.fr/michelse/fetch-skips-hardening
-
-Instructions for using this software and reproducing results: https://gricad-gitlab.univ-grenoble-alpes.fr/michelse/fetch-skips-hardening/-/blob/main/README.md?ref_type=heads
-
-Â ",api,True,findable,0,0,0,0,0,2024-01-04T00:26:33.000Z,2024-01-04T00:26:34.000Z,cern.zenodo,cern,"Compilation,Fault models,Hardware security","[{'subject': 'Compilation'}, {'subject': 'Fault models'}, {'subject': 'Hardware security'}]",,
-10.5281/zenodo.3902757,Data for: Fractional antiferromagnetic skyrmion lattice induced by anisotropic couplings,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Data for: Fractional antiferromagnetic skyrmion lattice induced by anisotropic couplings,mds,True,findable,0,0,0,0,0,2020-06-21T19:01:59.000Z,2020-06-21T19:02:00.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6303309,Structural Defects Improve the Memristive Characteristics of Epitaxial La0.8Sr0.2MnO3-based Devices,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data files (.txt) of the data presented in the publication 10.1002/admi.202200498 File names are referred to as the reference of the Figure and number in the main manuscript, followed by the sample (LSM/STO or LSM/LAO) and keywords of the figure. Each file corresponds only to the data of one sample. Regarding the series in a Figure, in the case there is very little data, the series are in a single file, arranged in columns. Otherwise, the series with large amounts of data have been split into single files named according to the series (legend). All the files include two headers (Name and Units) for each column. The files containing data from multiple series contain an extra header to precise the data series.",mds,True,findable,0,0,0,0,0,2022-08-24T15:16:09.000Z,2022-08-24T15:16:10.000Z,cern.zenodo,cern,"epitaxial thin films,manganites,memristive devices,metal-organic chemical vapor deposition (MOCVD),resistive switching,structural defects,valence change memories (VCMs)","[{'subject': 'epitaxial thin films'}, {'subject': 'manganites'}, {'subject': 'memristive devices'}, {'subject': 'metal-organic chemical vapor deposition (MOCVD)'}, {'subject': 'resistive switching'}, {'subject': 'structural defects'}, {'subject': 'valence change memories (VCMs)'}]",,
-10.15778/resif.zv2018,"MAUPITI seismic noise temporary experiment, French Polynesia (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2019,,Dataset,,"The MAUPITI'HOE experimentation aimed to deployed around the volcanic reef island of Maupiti (french polynesia) an important combination of hydrodynamic equipment (ADV, ADP, pressiometers; up to 64 sensors) and three seismometers (including broadband features) to analyze the seismic noise driven by the local wave field, the impact of Pacific waves onto the reef and the other possible interactions between nearshore hydrodynamics and reef bottom. The experimentation standed for 4 months.",mds,True,findable,0,0,0,0,0,2022-03-15T16:59:50.000Z,2022-03-15T17:00:03.000Z,inist.resif,vcob,"Littoral,Infra-gravity,Beach,Breaking,Ocean waves","[{'subject': 'Littoral'}, {'subject': 'Infra-gravity'}, {'subject': 'Beach'}, {'subject': 'Breaking'}, {'subject': 'Ocean waves'}]","['2 stations, 4Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.26302/sshade/experiment_bs_20201114_012,"Near-infrared reflectance spectra at low temperature (300-90K) of Salammoniac and delta-Ammonium chloride (phase IV) [NH4Cl] powders with three grain size ranges (32-80, 80-125 and 125-150Âµm)",SSHADE/CSS (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Near-infrared reflectance spectra at low temperature of Salammoniac (beta-Ammonium chloride, phase II) (290-243K) and delta-Ammonium chloride (phase IV) (242-90K) powder [NH4Cl] with 32-80 Âµm grain size and Salammoniac powder at room temperature with 80-125Âµm and 125-150Âµm grain sizes",mds,True,findable,0,0,0,0,0,2022-04-23T08:19:39.000Z,2022-04-23T08:19:39.000Z,inist.sshade,mgeg,"natural terrestrial,halide,Salammoniac,laboratory,chloride,delta-Ammonium chloride (phase IV),Sal ammoniac,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'natural terrestrial'}, {'subject': 'halide'}, {'subject': 'Salammoniac'}, {'subject': 'laboratory'}, {'subject': 'chloride'}, {'subject': 'delta-Ammonium chloride (phase IV)'}, {'subject': 'Sal ammoniac'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['31 spectra'],['ASCII']
-10.5061/dryad.5s77q,Data from: Detecting genomic signatures of natural selection with principal component analysis: application to the 1000 Genomes data,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"To characterize natural selection, various analytical methods for detecting candidate genomic regions have been developed. We propose to perform genome-wide scans of natural selection using principal component analysis (PCA). We show that the common FST index of genetic differentiation between populations can be viewed as the proportion of variance explained by the principal components. Considering the correlations between genetic variants and each principal component provides a conceptual framework to detect genetic variants involved in local adaptation without any prior definition of populations. To validate the PCA-based approach, we consider the 1000 Genomes data (phase 1) considering 850 individuals coming from Africa, Asia, and Europe. The number of genetic variants is of the order of 36 millions obtained with a low-coverage sequencing depth (3Ã—). The correlations between genetic variation and each principal component provide well-known targets for positive selection (EDAR, SLC24A5, SLC45A2, DARC), and also new candidate genes (APPBPP2, TP1A1, RTTN, KCNMA, MYO5C) and noncoding RNAs. In addition to identifying genes involved in biological adaptation, we identify two biological pathways involved in polygenic adaptation that are related to the innate immune system (beta defensins) and to lipid metabolism (fatty acid omega oxidation). An additional analysis of European data shows that a genome scan based on PCA retrieves classical examples of local adaptation even when there are no well-defined populations. PCA-based statistics, implemented in the PCAdapt R package and the PCAdapt fast open-source software, retrieve well-known signals of human adaptation, which is encouraging for future whole-genome sequencing project, especially when defining populations is difficult.",mds,True,findable,448,51,1,1,0,2016-01-05T10:16:27.000Z,2016-01-05T10:16:28.000Z,dryad.dryad,dryad,"selection scan,1000 genomes,FST,Principal component analysis","[{'subject': 'selection scan'}, {'subject': '1000 genomes'}, {'subject': 'FST'}, {'subject': 'Principal component analysis', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['418960469 bytes'],
-10.26302/sshade/experiment_bs_20200217_100,"Vis-NIR reflectance spectra of La Rousse pigments (PIG-0183-2017): powder, raw block, and polished slice",SSHADE/PIG (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of La Rousse pigments (PIG-0183-2017) as a raw block, a powder (&lt; 160 Âµm) and a polished slice (several spots)",mds,True,findable,0,0,0,0,0,2020-08-28T04:47:48.000Z,2020-08-28T04:47:49.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,carbonate,Calcite,oxide-hydroxide,Hematite,Goethite,phyllosilicate,Glauconite,tektosilicate,Quartz,sulfate,Baryte,nesosilicate,Zircon,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hematite'}, {'subject': 'Goethite'}, {'subject': 'phyllosilicate'}, {'subject': 'Glauconite'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'sulfate'}, {'subject': 'Baryte'}, {'subject': 'nesosilicate'}, {'subject': 'Zircon'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['8 spectra'],['ASCII']
-10.26302/sshade/experiment_jg_20090302_001,"Vis-NIR reflectance spectra of Kebri Dehar (Ogaden, Ethiopia) basalt cut",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Kebri Dehar (Ogaden, Ethiopia) basalts altered in hot conditions with globally increasing aridity since Late Oligocene. The samples are cobble fragments sampled from the same outcrop. The experiment contains spectra of the fresh surface of the samples.",mds,True,findable,0,0,0,0,0,2019-12-09T05:13:00.000Z,2019-12-09T05:13:01.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['9 spectra'],['ASCII']
-10.5281/zenodo.6498344,Dataset for 'Unveiling the charge distribution of a GaAs-based nanoelectronic device',Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","*********************************************************<br> This repository contains the raw experimental data associated with the manuscript<br> ""Unveiling the charge distribution of a GaAs-based nanoelectronic device: A large experimental data-set approach""<br> by Eleni Chatzikyriakou, Junliang Wang et al.<br> See Arxiv:2205.00846 for more details. <br> ********************************************************* ***************************************<br> Content of the different data files<br> *************************************** The data are stored in 5 different files in the csv format. * data_1D_4K.csv: current versus gate voltage data for all the samples at 4K. <br> The same gate voltage is applied on the Top and bottom gates. For sample X1Y3, X2Y3, X5Y3 and X6Y3 some additional measurements have been realised : * data_1D_mk.csv : top and bottom gates of each QPC have been swept at the same time at 50 mK temperature. * data_2D_4K_TB.csv : top gate has been swept for different values of the bottom gate at 4K.<br> * data_2D_mK_TB.csv : top gate has been swept for different values of the bottom gate at 50 mK temperature.<br> * data_2D_mK_BT.csv : bottom gate has been swept for different values of the top gate at 50 mK temperature. ***********************************<br> Format of the csv files<br> *********************************** --- All the data files are in the following format. * A given curve ""current versus gate voltage"" is stored in two consecutive raws. The first one contains the value of the measured current, the second one contains the values of the applied<br> gate voltages. * A 2D measurement ""current versus top gate and bottom gate"" is stored in three consecutive raws. The first one contains the value of the measured current, the second one contains the list of values of voltage applied on one of the gate. The third third raw contains the list of values of voltage applied on the other gate. --- Each row of a csv file has the following format: * The first column identifies the quantum point contact and the quantity. The format is Xx_Yy_QpcNb_Meas.<br> - Xx is the column on the chip (from X1 to X6).<br> - Yy is the row on the chip (Y1, Y2 or Y3).<br> - QpcNb is the number of the qpc (from 1 to 8 or from 9 to 16).<br> - Meas is the reported quantity, either the (measured) ""current"" or the (applied) ""voltage""<br> or the ""TopVoltage"" or ""BotVoltage"" for 2D scans. * The second column is the unit (A or V). * The third column is the number of sweeps (1, 2 or 3) performed. <br> For some measurements, the same sweep has been done multiple times. * The fourth column is the design of the quantum point contact (A, B, C, D or E). * All the following columns contain the measured value. For 2D scans the different values of the gate corresponding to the third raw are placed one after the other. *******************************<br> Python scripts for data analysis<br> ******************************* For convenience, we provide an example python scripts that can be used to load the data and plot them. extract.py : Extracts the data into a dictionary and plots the I-V characteristics<br> extract.ipynb : jupyter notebook using the different functions of extract.py type -h for help",mds,True,findable,0,0,0,2,0,2022-05-03T17:46:12.000Z,2022-05-03T17:46:14.000Z,cern.zenodo,cern,"quantum point contacts,measurements,semiconducting quantum technologies,GaAs,nanoelectronics","[{'subject': 'quantum point contacts'}, {'subject': 'measurements'}, {'subject': 'semiconducting quantum technologies'}, {'subject': 'GaAs'}, {'subject': 'nanoelectronics'}]",,
-10.26302/sshade/experiment_bs_20130120_003,Far-IR optical constants of amorphous H2O Ia at different temperatures and annealing,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Far-IR optical constants spectra of amorphous H2O Ia at different temperatures (63, 87.5K) and annealing temperatures",mds,True,findable,0,0,0,0,0,2019-12-28T21:31:36.000Z,2019-12-28T21:31:37.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,H2O amorphous - phase Ia,laboratory measurement,transmission,macroscopic,FIR,Far-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O amorphous - phase Ia'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['2 spectra'],['ASCII']
-10.26302/sshade/bandlist_raman_smithsonite,Raman bandlist of natural Smithsonite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Smithsonite at 295K,mds,True,findable,0,0,6,0,0,2023-08-11T12:10:51.000Z,2023-08-11T12:10:51.000Z,inist.sshade,mgeg,"Smithsonite,Zinc(II) cation,Magnesium(II) cation,Calcium cation,Lead cation,Carbonate anion,Zinc(2+) cation,Magnesium(2+) cation,Calcium(2+) cation,Lead(2+) cation,23713-49-7,22537-22-0,14127-61-8,14280-50-3,3486-35-9,Zn2+,Mg2+,Ca2+,Pb2+,(CO3)2-,ZnCO3,Smithsonite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Calcite group (Trigonal: R-3c),14.01.01.06,05.AB.05,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Smithsonite', 'subjectScheme': 'name'}, {'subject': 'Zinc(II) cation', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) cation', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Lead cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Zinc(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Magnesium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Lead(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '23713-49-7', 'subjectScheme': 'CAS number'}, {'subject': '22537-22-0', 'subjectScheme': 'CAS number'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': '14280-50-3', 'subjectScheme': 'CAS number'}, {'subject': '3486-35-9', 'subjectScheme': 'CAS number'}, {'subject': 'Zn2+', 'subjectScheme': 'formula'}, {'subject': 'Mg2+', 'subjectScheme': 'formula'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': 'Pb2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'ZnCO3', 'subjectScheme': 'formula'}, {'subject': 'Smithsonite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Calcite group (Trigonal: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.01.06', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5281/zenodo.888977,MB2017: Artificial spiking neural data with ground truth,Zenodo,2017,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset comprises simulated extracellular spiking neural signals, for which the activity of the active neurons is known. These data can thus be used to test spike sorting algorithms.
-
-This dataset has been generated for the study reported in:
-
-Bernert M, Yvert B (2018) An attention-based spiking neural network for unsupervised spike-sorting. International Journal of Neural Systems, https://doi.org/10.1142/S0129065718500594
-
-Please cite this paper as a reference.",mds,True,findable,0,0,0,0,0,2019-01-03T14:33:40.000Z,2019-01-03T14:33:41.000Z,cern.zenodo,cern,"microelectrode, action potentials, spike sorting, extracellular neural activity","[{'subject': 'microelectrode, action potentials, spike sorting, extracellular neural activity'}]",,
-10.26302/sshade/experiment_cl_20181202_05,$He^+$ irradiation of carbonaceous chondrite pellets probed by NIR-MIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Near and Mid-IR spectra of carbonaceous chondrite pellets: unirradiated area and area irradiated by $He^+$ ions at 40 keV and a total fluence of $6.10^{16} ions.cm{-2}$.,mds,True,findable,0,0,0,0,0,2022-06-07T15:00:33.000Z,2022-06-07T15:00:33.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CI,complex organic-mineral mix,matrix Alais,complex mineral mix,chondrules Alais,CAIs Alais,ungrouped,matrix TagishLake,chondrules TagishLake,CAIs Tagish Lake,CM,matrix Mighei,chondrules Mighei,CAIs Mighei,CV,matrix Allende,chondrules Allende,CAIs Allende,CO,matrix LancÃ©,chondrules LancÃ©,CAIs LancÃ©,matrix FRO95002,chondrules FRO95002,CAIs FRO95002,laboratory measurement,confocal reflection,micro-imaging,NIR,Near-Infrared,MIR,Mid-Infrared,normalized reflectance","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CI'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Alais'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Alais'}, {'subject': 'CAIs Alais'}, {'subject': 'ungrouped'}, {'subject': 'matrix TagishLake'}, {'subject': 'chondrules TagishLake'}, {'subject': 'CAIs Tagish Lake'}, {'subject': 'CM'}, {'subject': 'matrix Mighei'}, {'subject': 'chondrules Mighei'}, {'subject': 'CAIs Mighei'}, {'subject': 'CV'}, {'subject': 'matrix Allende'}, {'subject': 'chondrules Allende'}, {'subject': 'CAIs Allende'}, {'subject': 'CO'}, {'subject': 'matrix LancÃ©'}, {'subject': 'chondrules LancÃ©'}, {'subject': 'CAIs LancÃ©'}, {'subject': 'matrix FRO95002'}, {'subject': 'chondrules FRO95002'}, {'subject': 'CAIs FRO95002'}, {'subject': 'laboratory measurement'}, {'subject': 'confocal reflection'}, {'subject': 'micro-imaging'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'normalized reflectance'}]",['12 spectra'],['ASCII']
-10.17178/emaa_oh_fine_73f2c321,"Fine excitation of OH by H, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",20 fine energy levels / 50 radiative transitions / 190 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 190 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K) / 66 collisional transitions for H (11 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:30.000Z,2023-12-07T15:51:30.000Z,inist.osug,jbru,"target OH,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 H,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 H', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.4090905,"Source Data of ""Coherent control of individual electron spins in a 2D quantum dot array""",Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Coherent manipulation of individual quantum objects organized in arrays is a prerequisite to any scalable quantum information platform.<br> The cumulated efforts to control electron spins in quantum dot arrays have permitted the recent realization of quantum simulators and multi-electron spin coherent manipulations.<br> While being a natural path to resolve complex quantum matter problems and to process quantum information, the two-dimensional (2D) scaling with high connectivity of such implementations remains undemonstrated.<br> Here, we demonstrate the 2D coherent control of individual electron spins in a 3x3 array of tunnel coupled quantum dots.<br> We focus on several key quantum functionalities: charge deterministic loading and displacement, local spin readout, and local coherent exchange manipulation between two electron spins trapped in adjacent dots.<br> This work lays some of the foundations for exploiting a 2D array of electron spins for quantum simulation and information processing.",mds,True,findable,0,0,0,0,0,2020-10-15T12:08:03.000Z,2020-10-15T12:08:04.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_lm_20220303_bas,Vis-NIR reflectance spectra of basalts (raw pieces and powders),SSHADE/ROMA (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra (i=0Â°, e=30Â°, az=0Â°) of basalts (raw surfaces and powders).",mds,True,findable,0,0,0,0,0,2022-04-23T09:52:42.000Z,2022-04-23T09:52:43.000Z,inist.sshade,mgeg,"natural terrestrial,inosilicate,augite (pyroxene),tektosilicate,anorthite (plagioclase),oxide-hydroxide,Fe-oxide(s),albite (plagioclase),magnetite,nesosilicate,(hydro)grossular,olivine,analcime (zeolite),pyroxene,feldspar,augite,carbonate,calcite,zeolite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'natural terrestrial'}, {'subject': 'inosilicate'}, {'subject': 'augite (pyroxene)'}, {'subject': 'tektosilicate'}, {'subject': 'anorthite (plagioclase)'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Fe-oxide(s)'}, {'subject': 'albite (plagioclase)'}, {'subject': 'magnetite'}, {'subject': 'nesosilicate'}, {'subject': '(hydro)grossular'}, {'subject': 'olivine'}, {'subject': 'analcime (zeolite)'}, {'subject': 'pyroxene'}, {'subject': 'feldspar'}, {'subject': 'augite'}, {'subject': 'carbonate'}, {'subject': 'calcite'}, {'subject': 'zeolite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['11 spectra'],['ASCII']
-10.17178/emaa_(13c)o_rotation_922483ff,"Rotation excitation of [13C]O by CO, ortho-H2, ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 91 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 91 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for CO (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:25.000Z,2023-12-07T15:50:25.000Z,inist.osug,jbru,"target [13C]O,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 para-H2O,collider.3 ortho-H2O,collider.4 CO,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C]O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.4 CO', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.25519/6w2g-dr94,Lithological heterogeneities below the KÄ«lauea caldera before its 2018 collapse inferred from ground magnetic anomalies,"OPGC, LMV",2023,,Dataset,Creative Commons Attribution 4.0 International,,fabricaForm,True,findable,0,0,0,0,0,2023-10-03T15:50:30.000Z,2023-10-03T15:50:30.000Z,inist.opgc,jbru,,,,
-10.26302/sshade/experiment_dt_20170704_001,Fe K edge XAS transmission of natural magnetite Fe3O4 at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-15T20:28:06.000Z,2019-11-15T20:28:06.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,natural terrestrial,oxide-hydroxide,Natural magnetite Fe3O4,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Natural magnetite Fe3O4'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_dm_20121002_004,NIR and MIR reflectance spectra of AMES tholins (from 90% $N_2$:10% $CH_4$ gas),SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR and MIR reflectance spectra of AMES tholins (from 90% $N_2$:10% $CH_4$ gas) after synthesis, at ambient temperature",mds,True,findable,0,0,0,0,0,2019-12-09T05:22:14.000Z,2019-12-09T05:22:15.000Z,inist.sshade,mgeg,"carbonaceous,laboratory,complex macromolecular mixture,Tholins AMES 90%N2:10%CH4,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,MIR,Mid-Infrared,reflectance factor","[{'subject': 'carbonaceous'}, {'subject': 'laboratory'}, {'subject': 'complex macromolecular mixture'}, {'subject': 'Tholins AMES 90%N2:10%CH4'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'reflectance factor'}]",['2 spectra'],['ASCII']
-10.5281/zenodo.8171326,PAS: a Python Anesthesia Simulator for drug control,Zenodo,2023,en,Software,"GNU General Public License v3.0 only,Open Access","The Python Anesthesia Simulator (PAS) models the effect of drugs on physiological variables during total intravenous anesthesia. It is particularly dedicated to the control community, to be used as a benchmark for the design of multidrug controllers. The available drugs are propofol, remifentanil, and norepinephrine, the outputs are the bispectral index (BIS), mean arterial pressure (MAP), cardiac output (CO), and tolerance of laryngoscopy (TOL). PAS includes different well-known models along with their uncertainties to simulate inter-patient variability. Blood loss can also be simulated to assess the controller's performance in a shock scenario. Finally, PAS includes standard disturbance profiles and metric computation to facilitate the evaluation of the controller's performance.",mds,True,findable,0,0,0,0,0,2023-07-21T11:05:38.000Z,2023-07-21T11:05:39.000Z,cern.zenodo,cern,"Anesthesia SImulator,Automatic drug dosage,Pharmacokinetic,Pharmacodynamic","[{'subject': 'Anesthesia SImulator'}, {'subject': 'Automatic drug dosage'}, {'subject': 'Pharmacokinetic'}, {'subject': 'Pharmacodynamic'}]",,
-10.5281/zenodo.7762437,"FIGURE 1. Bulbophyllum sondangii Vuong &amp; Aver. A. Flattened flowering plant. B. Inflorescences. C in Bulbophyllum sondangii (Orchidaceae), a new species from Da Lat Plateau, southern Vietnam",Zenodo,2023,,Image,Open Access,"FIGURE 1. Bulbophyllum sondangii Vuong &amp; Aver. A. Flattened flowering plant. B. Inflorescences. C. Floral bract, adaxial and abaxial side; D. Apical portion of inflorescences, view from above and from below. E. Flowers, view from above, from below and side view. F. Median sepal, adaxial and abaxial side. G. Apex of median sepal. H. Lateral sepal, view from above and from below. I. Petal, abaxial and adaxial side. J. Petal margin. K. Lip, views from different sides. L. Pedicel, ovary and column, side view. M. Apex of column, views from different sides. N. Anther cap, view from above and from below. O. Pollinia, view from different sides. All photos by Truong Ba Vuong, made from the type specimens BV 704, photo correction and design by L. Averyanov and T. Maisak.",mds,True,findable,0,0,0,3,0,2023-03-23T07:56:18.000Z,2023-03-23T07:56:18.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Plantae,Tracheophyta,Liliopsida,Asparagales,Orchidaceae,Bulbophyllum","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Plantae'}, {'subject': 'Tracheophyta'}, {'subject': 'Liliopsida'}, {'subject': 'Asparagales'}, {'subject': 'Orchidaceae'}, {'subject': 'Bulbophyllum'}]",,
-10.5061/dryad.4kn05,Data from: Spatio-temporal monitoring of deep-sea communities using metabarcoding of sediment DNA and RNA,Dryad,2017,en,Dataset,Creative Commons Zero v1.0 Universal,"We assessed spatio-temporal patterns of diversity in deep-sea sediment communities using metabarcoding. We chose a recently developed eukaryotic marker based on the v7 region of the 18S rRNA gene. Our study was performed in a submarine canyon and its adjacent slope in the Northwestern Mediterranean Sea, sampled along a depth gradient at two different seasons. We found a total of 5,569 molecular operational taxonomic units (MOTUs), dominated by Metazoa, Alveolata and Rhizaria. Among metazoans, Nematoda, Arthropoda and Annelida were the most diverse. We found a marked heterogeneity at all scales, with important differences between layers of sediment and significant changes in community composition with zone (canyon vs slope), depth, and season. We compared the information obtained from metabarcoding DNA and RNA and found more total MOTUs and more MOTUs per sample with DNA (ca. 20% and 40% increase, respectively). Both datasets showed overall similar spatial trends, but most groups had higher MOTU richness with the DNA template, while others, such as nematodes, were more diverse in the RNA dataset. We provide metabarcoding protocols and guidelines for biomonitoring of these key communities in order to generate information applicable to management efforts.",mds,True,findable,320,40,1,2,0,2016-11-28T16:42:56.000Z,2016-11-28T16:42:57.000Z,dryad.dryad,dryad,"meiofauna,Eukarya,submarine canyons,biomonitoring,present day,18S,Holocene,sediments,eRNA","[{'subject': 'meiofauna'}, {'subject': 'Eukarya'}, {'subject': 'submarine canyons'}, {'subject': 'biomonitoring'}, {'subject': 'present day'}, {'subject': '18S'}, {'subject': 'Holocene'}, {'subject': 'sediments'}, {'subject': 'eRNA'}]",['71620036 bytes'],
-10.5281/zenodo.5500144,Radiative transfer modeling in structurally-complex stands: towards a better understanding of parametrization: Dataset,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository is linked to the paper ""Radiative transfer modeling in structurally-complex stands: towards a better understanding of parametrization"" submitted to Annals of Forest Science and written by FrÃ©dÃ©ric ANDRÃ‰ (corresponding author), Louis DE WERGIFOSSE, FranÃ§ois DE COLIGNY, Nicolas BEUDEZ, Gauthier LIGOT, Vincent GAUTHRAY-GUYÃ‰NET, Benoit COURBAUD and Mathieu JONARD. The repository contains the two following archive files: RadiationDataset.zip: gather the HETEROFOR model input files containing the measured understorey radiation values, and the position and main characteristics (girth of the trunk at breast height, total height, height of largest crown extension, height of crown base and crown radii in four directions) of the trees in the surrounding of the radiation measurement locations GrowthDataset.zip: gather the following HETEROFOR model input files for each of the six plots considered for growth measurements: Inventory files at the beginning and at the end of the growth period Thinning file, containing the list of the trees harvested during the study period Fruit litter fall file: fruit litter fall (kgC/ha) measured each year, determined separatly for each of the main species Soil horizon file: containing the main physico-chemical characteristics of the soil horizons Meteorology file: containing hourly records of the main meteorological variables (total radiation, air temperature, soil surface temperature, rainfall depth, air relative humidity, wind speed, wind direction, diffuse/global radiation ratio) For more information concerning this repository or the study, please do not hesitate to contact FrÃ©dÃ©ric ANDRÃ‰ (frederic.andre@uclouvain.be) or Mathieu JONARD (mathieu.jonard@uclouvain.be).",mds,True,findable,0,0,0,0,0,2021-09-10T12:38:56.000Z,2021-09-10T12:38:57.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6671769,Extracted opinions from the French National Great Debate (Grand DÃ©bat National) about transport and socio-economic description of municipalities participating to the debate,Zenodo,2022,fr,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This data set contains : - motifs_with_geom.json : extracted propositions from the answers to the online public consultation related to the French National Great Debate (Grand DÃ©bat National) which took place in 2019. The propositions consist of automatically extracted patterns. The propositions are related to transport. Extracted propositions are also georeferenced by postal codes and associated coordinates (WGS 84). - communes_with_all_data.geojson : socio-economic features which describes municipalities in France (mainland + overseas territories). These data are also georeferenced by postal codes and associated coordinates (WGS 84). data_geo.zip are the source files to build this file. The features are described in data_cadrage_meta.csv - motifsxcommunes_without_geom.csv : joined file of extracted propositions and socio-economic features of municipalities, without coordinates. These data are used to performed statistic analysis. - transportonto4.owl : ontology describing transport in French, used to extract propositions related to transport.",mds,True,findable,0,0,0,3,0,2022-06-20T17:06:33.000Z,2022-06-20T17:06:33.000Z,cern.zenodo,cern,"https://fr.wikipedia.org/wiki/Grand_d%C3%A9bat_national,https://fr.wikipedia.org/wiki/Transport","[{'subject': 'https://fr.wikipedia.org/wiki/Grand_d%C3%A9bat_national', 'subjectScheme': 'url'}, {'subject': 'https://fr.wikipedia.org/wiki/Transport', 'subjectScheme': 'url'}]",,
-10.5281/zenodo.5242829,German DBnary archive in original Lemon format,Zenodo,2021,de,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from German language edition, ranging from 30th August 2012 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T07:50:29.000Z,2021-08-24T07:50:30.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.5281/zenodo.3701520,"DATA of 'Quantification of seasonal and diurnal dynamics of subglacial channels using seismic observations on an Alpine Glacier.' from Nanni et al. 2020,",Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset belongs to the study of <strong>Nanni et al., 2020</strong> ""Quantification of seasonal and diurnal dynamics of subglacial channels using seismic observations on an Alpine Glacier."" accepted for publication in The Cryosphere on March 9th 2020. You can find additional information on the ""<strong>README_data_NANNI_2020_glacier</strong>""",mds,True,findable,0,0,0,1,0,2020-03-09T15:29:10.000Z,2020-03-09T15:29:11.000Z,cern.zenodo,cern,"glacier,environmental seismology,subglacial hydrology,cryoseismology,water flow","[{'subject': 'glacier'}, {'subject': 'environmental seismology'}, {'subject': 'subglacial hydrology'}, {'subject': 'cryoseismology'}, {'subject': 'water flow'}]",,
-10.6084/m9.figshare.22877643,Additional file 1 of Digital undergraduate medical education and patient and carer involvement: a rapid systematic review of current practice,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Sample Search Strategy (Ovid MEDLINE).,mds,True,findable,0,0,0,0,0,2023-05-17T03:24:26.000Z,2023-05-17T03:24:27.000Z,figshare.ars,otjm,"Medicine,Science Policy,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Science Policy'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['14508 Bytes'],
-10.26302/sshade/experiment_sb_20200403_001,T-dependent optical constants of San Carlos Olivine and Burma Ortho-enstatite,SSHADE/DOCCD (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Optical constants are obtained by reflectance measurement with polarized light in a temperature range of 10 K to 928 K,mds,True,findable,0,0,0,0,0,2020-04-27T08:19:01.000Z,2020-04-27T08:19:02.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,Ortho-enstatite,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'Ortho-enstatite'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['42 spectra'],['ASCII']
-10.5281/zenodo.154083,By2014 Articulatory-Acoustic Dataset,Zenodo,2016,,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","This dataset contains synchronous articulatory and acoustic data, recorded in one male French subject.",,True,findable,1,0,0,0,0,2016-09-27T10:03:57.000Z,2016-09-27T10:03:58.000Z,cern.zenodo,cern,"speech production, speech synthesis, electromagnetic articulography, EMA, articulatory data, acoustic data","[{'subject': 'speech production, speech synthesis, electromagnetic articulography, EMA, articulatory data, acoustic data'}]",,
-10.6084/m9.figshare.c.6900580,Bacterial survival in radiopharmaceutical solutions: a critical impact on current practices,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background The aim of this brief communication is to highlight the potential bacteriological risk linked to the processes control of radiopharmaceutical preparations made in a radiopharmacy laboratory. Survival rate of Pseudomonas aeruginosa (ATCC: 27853) or Staphylococcus aureus (ATCC: 25923) or Staphylococcus epidermidis (ATCC: 1228) in multidose technetium-99 m solution was studied. Results Depending on the nature and level of contamination by pathogenic bacteria, the lethal effect of radioactivity is not systematically observed. We found that P. aeruginosa was indeed affected by radioactivity. However, this was not the case for S. epidermidis, as the quantity of bacteria found in both solutions (radioactive and non-radioactive) was rapidly reduced, probably due to a lack of nutrients. Finally, the example of S. aureus is an intermediate case where we observed that high radioactivity affected the bacteria, as did the absence of nutrients in the reaction medium. The results were discussed in the light of current practices on the sterility test method, which recommends waiting for radioactivity to decay before carrying out the sterility test. Conclusion In terms of patient safety, the results run counter to current practice and the latest EANM recommendation of 2021 that radiopharmaceutical preparations should be decayed before sterility testing.",mds,True,findable,0,0,0,0,0,2023-10-27T03:41:27.000Z,2023-10-27T03:41:28.000Z,figshare.ars,otjm,"Biophysics,Microbiology,FOS: Biological sciences,Environmental Sciences not elsewhere classified,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Biophysics'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.17178/ohmcv.dsd.sef.12-16.1,"DSD network, Saint-Etienne-de-Fontbellon",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:19.000Z,2017-10-17T13:24:19.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.26302/sshade/experiment_bs_20201114_016,"Near-infrared reflectance spectra at low temperature (300-80K) of Ammonium carbonate [(NH4)2CO3] powders with three grain size ranges (32-80, 80-125 and 125-150Âµm)",SSHADE/CSS (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Near-infrared reflectance spectra at low temperature (290-80K) of Ammonium carbonate powder [(NH4)2CO3] with 32-80 Âµm grain size and at room temperature (300K) with 80-125Âµm and 125-150Âµm grain sizes,mds,True,findable,0,0,0,0,0,2022-04-23T08:16:36.000Z,2022-04-23T08:16:37.000Z,inist.sshade,mgeg,"commercial,carbonate,Ammonium carbonate,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'commercial'}, {'subject': 'carbonate'}, {'subject': 'Ammonium carbonate'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['18 spectra'],['ASCII']
-10.5281/zenodo.5500499,"Code and experiment data for the ICAPS 2019 paper ""Lagrangian Decomposition for Optimal Cost Partitioning""",Zenodo,2021,,Software,"GNU General Public License v3.0 or later,Open Access","This bundle contains code, scripts and benchmarks for reproducing all experiments reported in the paper. It also contains the data generated for the paper. pommerening-et-al-icaps2019-code.zip contains the implementation based on Fast Downward. It also contains the experiment scripts compatible with Lab 4.2 for reproducing all experiments of the paper, under experiments/lagrangian. (Note that some adjustments to the scripts would need to be done because, e.g., the entire tree is not a repository anymore.) pommerening-et-al-icaps2019-benchmarks.zip contains the benchmarks. It consists of the STRIPS IPC benchmarks used in all optimal sequential tracks of IPCs up to 2018 (suite optimal_strips from https://github.com/aibasel/downward-benchmarks). pommerening-et-al-icaps2019-lab.zip contains a copy of Lab 4.2 (https://github.com/aibasel/lab). pommerening-et-al-icaps2019-data.zip contains the experimental data. Directories without the ""-eval"" ending contain raw data, distributed over a subdirectory for each experiment. Each of these contain a subdirectory tree structure ""runs-*"" where each planner run has its own directory. For each run, it contains: the run log file ""run.log"" (stdout), possibly also a run error file ""run.err"" (stderr), the run script ""run"" used to start the experiment, and a ""properties"" file that contains data parsed from the log file(s). Directories with the ""-eval"" ending contain a ""properties"" file - a JSON file with the combined data of all runs of the corresponding experiment. In essence, the properties file is the union over all properties files generated for each individual planner run.",mds,True,findable,0,0,0,0,0,2021-09-10T18:14:10.000Z,2021-09-10T18:14:11.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10047691,preesm/preesm-apps: ACM TRETS Artifact Evaluation,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,"Release for ACM TRETS Artifact Evaluation.
-https://dl.acm.org/doi/10.1145/3626103",api,True,findable,0,0,0,1,0,2023-10-27T13:56:35.000Z,2023-10-27T13:56:35.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7804590,WriteVTK.jl: a Julia package for writing VTK XML files,Zenodo,2023,,Software,"MIT License,Open Access",Main changes Transfer to JuliaVTK organisation. Move some definitions to VTKBase.jl package. Support FillArrays 1.0.,mds,True,findable,0,0,0,0,0,2023-04-06T07:32:38.000Z,2023-04-06T07:32:38.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.16786744,Additional file 14 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 14. Consent form (patients).,mds,True,findable,0,0,16,1,0,2021-10-12T03:41:43.000Z,2021-10-12T03:41:46.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['211098 Bytes'],
-10.5061/dryad.ttdz08m16,Environmental DNA highlights the influence of salinity and agricultural run-off on coastal fish assemblages in the Great Barrier Reef region,Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"Agricultural run-off in Australiaâ€™s Mackay-Whitsunday region is a major source of nutrient and pesticide pollution to the coastal and inshore ecosystems of the Great Barrier Reef. While the effects of run-off are well documented for the regionâ€™s coral and seagrass habitats, the ecological impacts on estuaries, the direct recipients of run-off, are less known. This is particularly true for fish communities, which are shaped by the physico-chemical properties of the coastal waterways that vary greatly in tropical regions. To address this knowledge gap, we used environmental DNA (eDNA) metabarcoding to examine teleost and elasmobranch fish assemblages at four locations (three estuaries and a harbour) subjected to varying levels of agricultural run-off during a wet and dry season. Pesticide and nutrient concentrations were markedly lower during the sampled dry season. With the influx of freshwater and agricultural run-off during the wet season, teleost and elasmobranch taxa richness significantly decreased in all three estuaries, along with pronounced changes in fish community composition which were largely associated with environmental variables (particularly salinity). In contrast, the nearby Mackay Harbour exhibited a far more stable community structure, with no marked changes in fish assemblages observed between the sampled seasons. Within the wet season, differing compositions of fish communities were observed among the four sampled locations, with this variation being significantly correlated with environmental variables (salinity, chlorophyll, DOC) and contaminants from agricultural run-off, i.e., nutrients (nitrogen and phosphorus) and pesticides. Historically contaminated and relatively unimpacted estuaries each demonstrated distinct fish communities, reflecting their associated catchment use. Our findings emphasise that while seasonal effects (e.g., changes in salinity) play a key role in shaping the community structure of estuarine fish in this region, agricultural contaminants (nutrients and pesticides) are also important contributors in some systems.",mds,True,findable,35,2,0,0,0,2023-09-22T22:57:33.000Z,2023-09-22T22:57:33.000Z,dryad.dryad,dryad,"eDNA,chemical analyses,species matrix,FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'eDNA'}, {'subject': 'chemical analyses'}, {'subject': 'species matrix'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['146859 bytes'],
-10.5281/zenodo.4067946,SGS scalar transport - homogeneous isotropic turbulence,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains filtered data (spectral cut) from three DNS simulations (train, tests, decay) of 3-dimensional homogeneous isotropic turbulence in a \(512^3\) periodic domain. More precisely, the following fields are available: Filtered velocities Filtered transported (passive) scalar Divergence of the SGS term from the transport equation obtained from DNS SGS fluxes (in the three directions) from the transport equation obtained from DNS The scalar is forced on the high spectral wavenumbers, such that filtered data is not impacted in train and tests, while the scalar forcing is removed in the decay simulation. Note that all three simulations are forced on the velocities with an Alvelius-type scheme. The dataset also provide with three different filter sizes: 8, 16 and 32 times from the initial DNS resolution, which give domain sizes of \(64^3, 32^3, 16^3\) respectively. This dataset has been used to train NN models available : https://github.com/hrkz/SubgridTransportNN.",mds,True,findable,0,0,0,0,0,2020-10-12T08:04:21.000Z,2020-10-12T08:04:22.000Z,cern.zenodo,cern,"turbulence,fluid dynamics,machine learning,subgrid-scale","[{'subject': 'turbulence'}, {'subject': 'fluid dynamics'}, {'subject': 'machine learning'}, {'subject': 'subgrid-scale'}]",,
-10.5281/zenodo.6861341,Data from: Improved FIFRELIN de-excitation model for neutrino applications,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","New FIFRELIN cascades for the isotopes 156,158Gd are distributed to the community, to be used for various applications. The new cascades feature an improved modeling of de-excitation. The main improvements are: 1) Inclusion of primary transitions from EGAF database. 2) Treatment of gamma-directional correlations 3) Improved physics for the Internal Conversion process and X ray emission. With the use of the files provided, please cite the following publication: H. AlmazÃ¡n et al, <em>The European Physical Journal A</em> <strong>volume 59</strong>, Article number: 75 (2023) DOI: https://doi.org/10.1140/epja/s10050-023-00977-x",mds,True,findable,0,0,0,0,0,2022-07-25T06:28:39.000Z,2022-07-25T06:28:40.000Z,cern.zenodo,cern,"FIFRELIN,gamma cascade,gadolinium,neutron capture","[{'subject': 'FIFRELIN'}, {'subject': 'gamma cascade'}, {'subject': 'gadolinium'}, {'subject': 'neutron capture'}]",,
-10.5281/zenodo.7785223,Automatic 3D CAD models reconstruction from 2D orthographic drawings,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset is built to reconstruct 3D CAD models from 2D drawings and is based on the public dataset Fusion 360 gallery. The dataset includes two parts that are the original data and the reconstructed data (in folders '/original_data"" and '/reconstructed'). The part of the original data contains the '.svg' files of 2D drawings and the '.step' files of CAD models. Our reconstruction results are shown in the second part (folder '/reconstructed'), which includes the reconstructed 3D wireframes, 3D shapes with faces (storage in FreeCAD files '.FCStd'), and the images of reconstructed models (screenshot). We also test some cases from the ABC dataset, shown in the 2_ABC folder. Please cite our paper if you use the dataset. <pre>@article{zhang2023automatic, title={Automatic 3D CAD models reconstruction from 2D orthographic drawings}, author={Zhang, Chao and Pinqui{\'e}, Romain and Polette, Arnaud and Carasi, Gregorio and De Charnace, Henri and Pernot, Jean-Philippe}, journal={Computers \&amp; Graphics}, year={2023}, publisher={Elsevier} }</pre>",mds,True,findable,0,0,0,0,0,2023-03-30T14:44:34.000Z,2023-03-30T14:44:34.000Z,cern.zenodo,cern,3D reconstruction; CAD,[{'subject': '3D reconstruction; CAD'}],,
-10.26302/sshade/experiment_kd_20220331,"Optical constants of Mg-rich glassy silicates (1-x)MgO-xSiO2, 10-300 K, UV-mm range",SSHADE/STOPCODA (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","UV to mm optical constants of four Mg-rich glassy silicates (1-x)MgO-xSiO2, x=0.35, 0.40 and 0.50 (two samples), at 10, 100, 200 and 300 K. The optical constants are calculated from mass absorption coefficients measured in the 5 - 1000 Âµm (2000-10 cm-1) range and extrapolated in the range 0.024 - 5 Âµm and 1000 - 100000 Âµm.",mds,True,findable,0,0,0,0,0,2022-05-31T13:16:53.000Z,2022-05-31T13:16:56.000Z,inist.sshade,mgeg,"solid,laboratory,non-oxide ceramic,Glassy silicate (1-x)MgO-xSiO2 x=0.35,commercial,homopolymer,Polyethylene HDPE,bromide,Potassium bromide KBr,Glassy silicate (1-x)MgO-xSiO2 x=0.40,Glassy silicate (1-x)MgO-xSiO2 x=0.50,Glassy silicate (1-x)MgO-xSiO2 x=0.50, X50B,laboratory measurement,numerical extrapolation,macroscopic,UV,Ultraviolet,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,FIR,Far-Infrared,sub-mm,mm,millimeter wave,cm,centimeter wave,optical constants","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'non-oxide ceramic'}, {'subject': 'Glassy silicate (1-x)MgO-xSiO2 x=0.35'}, {'subject': 'commercial'}, {'subject': 'homopolymer'}, {'subject': 'Polyethylene HDPE'}, {'subject': 'bromide'}, {'subject': 'Potassium bromide KBr'}, {'subject': 'Glassy silicate (1-x)MgO-xSiO2 x=0.40'}, {'subject': 'Glassy silicate (1-x)MgO-xSiO2 x=0.50'}, {'subject': 'Glassy silicate (1-x)MgO-xSiO2 x=0.50, X50B'}, {'subject': 'laboratory measurement'}, {'subject': 'numerical extrapolation'}, {'subject': 'macroscopic'}, {'subject': 'UV'}, {'subject': 'Ultraviolet'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'sub-mm'}, {'subject': 'mm'}, {'subject': 'millimeter wave'}, {'subject': 'cm'}, {'subject': 'centimeter wave'}, {'subject': 'optical constants'}]",['16 spectra'],['ASCII']
-10.5281/zenodo.10048444,Spring snow albedo feedback in daily data over Russia: Comparing in-situ measurements with reanalysis products,Zenodo,2023,,Text,Creative Commons Attribution 4.0 International,"Poster for the ASSW 2017 and AGU 2016 conferenceÂ showing results from Wegmann et al. 2018.
-
-Wegmann, M., Dutra, E., Jacobi, H.W. & Zolina, O. (2018). Spring snow albedo feedback over Northern Eurasia: Comparing in-situ measurements with reanalysis products. The Cryosphere, 12(6), 1887-1898",api,True,findable,0,0,0,0,0,2023-10-27T18:27:29.000Z,2023-10-27T18:27:29.000Z,cern.zenodo,cern,"snow,albedo,reanalysis,climate,observations,russia","[{'subject': 'snow'}, {'subject': 'albedo'}, {'subject': 'reanalysis'}, {'subject': 'climate'}, {'subject': 'observations'}, {'subject': 'russia'}]",,
-10.5281/zenodo.6448390,"Dataset for the paper ""Imaging evolution of Cascadia slowâ€‘slip event using highâ€‘rate GPS""",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Slip and slip rate files for the preferred model of Itoh, Aoki, and Fukuda (2022, Scientific Reports, doi:10.1038/s41598-022-10957-8). Please see readme.txt for further details. The corresponding author information is also available there. Caution: the dataset has the size of 4.3GB after uncompression/extraction.",mds,True,findable,0,0,0,1,0,2022-04-19T13:23:52.000Z,2022-04-19T13:23:56.000Z,cern.zenodo,cern,"Slow slip,SSE,Cascadia","[{'subject': 'Slow slip'}, {'subject': 'SSE'}, {'subject': 'Cascadia'}]",,
-10.17178/emaa_ortho-nh3_rotation-hot_2c68197a,Rotation-hot excitation of ortho-NH3 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",33 rotation-hot energy levels / 68 radiative transitions / 528 collisional transitions for ortho-H2 (5 temperatures in the range 100-500K) / 528 collisional transitions for para-H2 (5 temperatures in the range 100-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:59.000Z,2023-12-07T15:52:00.000Z,inist.osug,jbru,"target ortho-NH3,excitationType Rotation-hot,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-NH3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation-hot', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.6084/m9.figshare.23983487,Additional file 2 of Aberrant activation of five embryonic stem cell-specific genes robustly predicts a high risk of relapse in breast cancers,figshare,2023,,Dataset,Creative Commons Attribution 4.0 International,"Additional file 2: Table S1. List of genes with predominant expression in testis, placenta and/or embryonic stem cells. Table S2. Frequencies of ectopic activations of the tissue-specific genes. Table S3. Results of the validation step in the biomarker discovery pipeline. Table S4. Datasets of normal tissues and breast cancers with corresponding sample sizes. Table S5. List of normal tissues and the corresponding sample sizes.",mds,True,findable,0,0,0,0,0,2023-08-18T03:20:43.000Z,2023-08-18T03:20:44.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Biological Sciences not elsewhere classified,Information Systems not elsewhere classified,Mathematical Sciences not elsewhere classified,Developmental Biology,Cancer,Plant Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Information Systems not elsewhere classified'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Plant Biology'}]",['174460 Bytes'],
-10.17178/emaa_para-h2(18o)_rotation_4ebe92f7,Rotation excitation of para-H2[18O] by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 rotation energy levels / 70 radiative transitions / 351 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:59.000Z,2022-02-07T11:26:00.000Z,inist.osug,jbru,"target para-H2[18O],excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/bandlist_raman_beta_k2caco3-2,Raman bandlist of synthetic beta-K2Ca(CO3)2 (Fairchildite),SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of synthetic $\beta-K_2Ca(CO_3)_2$ (Fairchildite) at 295K,mds,True,findable,0,0,0,0,0,2023-09-10T17:21:27.000Z,2023-09-10T17:21:28.000Z,inist.sshade,mgeg,"$K_2Ca(CO_3)_2$ - phase beta,Potassium(1+) cation,Calcium cation,Carbonate anion,beta Dipotassium calcium carbonate,$\beta-K_2Ca(CO_3)_2$,Potassium cation,Calcium(2+) cation,24203-36-9,14127-61-8,K+,Ca2+,(CO3)2-,K2Ca(CO3)2,normal salt,normal salts,carbonate,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': '$K_2Ca(CO_3)_2$ - phase beta', 'subjectScheme': 'name'}, {'subject': 'Potassium(1+) cation', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'beta Dipotassium calcium carbonate', 'subjectScheme': 'name'}, {'subject': '$\\beta-K_2Ca(CO_3)_2$', 'subjectScheme': 'name'}, {'subject': 'Potassium cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '24203-36-9', 'subjectScheme': 'CAS number'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': 'K+', 'subjectScheme': 'formula'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'K2Ca(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'normal salt', 'subjectScheme': 'class'}, {'subject': 'normal salts', 'subjectScheme': 'class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.6084/m9.figshare.c.6592129,"Biallelic variants in NOS3 and GUCY1A3, the two major genes of the nitric oxide pathway, cause moyamoya cerebral angiopathy",figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Moyamoya angiopathy (MMA) is a rare cerebrovascular condition leading to stroke. Mutations in 15 genes have been identified in Mendelian forms of MMA, but they explain only a very small proportion of cases. Our aim was to investigate the genetic basis of MMA in consanguineous patients having unaffected parents in order to identify genes involved in autosomal recessive MMA. Methods Exome sequencing (ES) was performed in 6 consecutive consanguineous probands having MMA of unknown etiology. Functional consequences of variants were assessed using western blot and protein 3D structure analyses. Results Causative homozygous variants of NOS3, the gene encoding the endothelial nitric oxide synthase (eNOS), and GUCY1A3, the gene encoding the alpha1 subunit of the soluble guanylate cyclase (sGC) which is the major nitric oxide (NO) receptor in the vascular wall, were identified in 3 of the 6 probands. One NOS3 variant (c.1502 + 1G &gt; C) involves a splice donor site causing a premature termination codon and leads to a total lack of eNOS in endothelial progenitor cells of the affected proband. The other NOS3 variant (c.1942 T &gt; C) is a missense variant located into the flavodoxine reductase domain; it is predicted to be destabilizing and shown to be associated with a reduction of eNOS expression. The GUCY1A3 missense variant (c.1778G &gt; A), located in the catalytic domain of the sGC, is predicted to disrupt the tridimensional structure of this domain and to lead to a loss of function of the enzyme. Both NOS3 mutated probands suffered from an infant-onset and severe MMA associated with posterior cerebral artery steno-occlusive lesions. The GUCY1A3 mutated proband presented an adult-onset MMA associated with an early-onset arterial hypertension and a stenosis of the superior mesenteric artery. None of the 3 probands had achalasia. Conclusions We show for the first time that biallelic loss of function variants in NOS3 is responsible for MMA and that mutations in NOS3 and GUCY1A3 are causing fifty per cent of MMA in consanguineous patients. These data pinpoint the essential role of the NO pathway in MMA pathophysiology.",mds,True,findable,0,0,0,0,0,2023-04-13T14:39:37.000Z,2023-04-13T14:47:59.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.6084/m9.figshare.22620034,"Additional file 2 of Biallelic variants in NOS3 and GUCY1A3, the two major genes of the nitric oxide pathway, cause moyamoya cerebral angiopathy",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 2: 3D structural analysis of the functional consequences of the eNOS p.C648R variant and sGC alpha1 subunit p.R593H variant.,mds,True,findable,0,0,0,0,0,2023-04-13T14:39:41.000Z,2023-04-13T16:07:53.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['36825 Bytes'],
-10.26302/sshade/bandlist_raman_s2o_ar-matrix,Raman band list of S2O in Ar matrix,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR Raman band list of the isotopes of $S_2O$ in Ar matrix,mds,True,findable,0,0,0,0,0,2023-05-13T13:37:41.000Z,2023-05-13T13:37:41.000Z,inist.sshade,mgeg,"natural $S_2O$ in Ar matrix,Argon,Disulfur monoxide,solid alpha Argon,$\alpha$-phase,Argon,Disulfur monoxide,7440-37-1,20901-21-7,Ar,S2O,tridimentional covalent network solid,molecular solids with apolar molecules,elemental solid,Raman scattering,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural $S_2O$ in Ar matrix', 'subjectScheme': 'name'}, {'subject': 'Argon', 'subjectScheme': 'name'}, {'subject': 'Disulfur monoxide', 'subjectScheme': 'name'}, {'subject': 'solid alpha Argon', 'subjectScheme': 'name'}, {'subject': '$\\alpha$-phase', 'subjectScheme': 'name'}, {'subject': 'Argon', 'subjectScheme': 'IUPAC name'}, {'subject': 'Disulfur monoxide', 'subjectScheme': 'IUPAC name'}, {'subject': '7440-37-1', 'subjectScheme': 'CAS number'}, {'subject': '20901-21-7', 'subjectScheme': 'CAS number'}, {'subject': 'Ar', 'subjectScheme': 'formula'}, {'subject': 'S2O', 'subjectScheme': 'formula'}, {'subject': 'tridimentional covalent network solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'elemental solid', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.26302/sshade/experiment_op_20230206_002,NIR-MIR absorbance spectrum of a pellet of Olivine (sub-Âµm grains) mixed with KBr,SSHADE/GhoSST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",We measured the absorbance spectra (from 1 to 25 Âµm) of a pellet made of powders of olivine sub-Âµm grains and KBr.,mds,True,findable,0,0,0,0,0,2023-02-07T08:23:44.000Z,2023-02-07T08:23:45.000Z,inist.sshade,mgeg,"mineral,laboratory,natural terrestrial,nesosilicate,Olivine Forsterite,tektosilicate,Quartz,solid,commercial,bromide,KBr,laboratory measurement,transmission,macroscopic,NIR,Near-Infrared,MIR,Mid-Infrared,absorbance","[{'subject': 'mineral'}, {'subject': 'laboratory'}, {'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'Olivine Forsterite'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'bromide'}, {'subject': 'KBr'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.10055462,Mont Blanc ice core data for NH3 source investigation in Europe,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,Dataset to interpret the Î´15N(NH4+) in a Mont Blanc ice core,api,True,findable,0,0,0,0,0,2023-11-03T08:48:41.000Z,2023-11-03T08:48:41.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8353229,FRACAS: FRench Annotated Corpus of Attribution relations in newS,Zenodo,2023,fr,Dataset,Restricted Access,"A human-annotated corpus for French quotation extraction<strong> </strong>containing 1676 newswire texts with 10 965 annotated attribution relations (quotes attributed to its speaker). <strong>Data</strong>: 1676 newswire texts in French from Reuters annotated with 10 965 attribution relations <strong>Date: </strong>April 1995 to April 1996 <strong>Data structure</strong>: { ""text"": <em>text of the newswire,</em> ""entities"": <em>a list of each entity in the following format</em> [""id"": <em>unique_id</em>, ""text"": <em>text of entity</em>, ""label"": <em>entity label</em>, <em>""</em>gender"": <em>gender (if labelled</em>), ""char_span"": <em>a list of character index span</em>] ""relations""<em>: </em><em>a list of each relation in the following format</em> [<em>id of relation</em>, <em>label of relation</em>, <em>id of first entity</em>, <em>id of second entity</em> } <strong>Labels:</strong> Entities: <strong>Quotation</strong> (Direct, Indirect or Mixed) <strong>Speaker</strong> (Agent, Organization, Group of People, Source Pronoun) <strong>Cue</strong> Attributes: Speaker Gender (Male, Female, Mixed, Unknown, Other) Relations: Speaker <strong>Quoted in </strong>Quotation Cue <strong>Indicates </strong>Quotation Source Pronoun <strong>Refers</strong> to Speaker",mds,True,findable,0,0,0,0,0,2023-09-19T08:30:36.000Z,2023-09-19T08:30:36.000Z,cern.zenodo,cern,"source attribution, quotations, newswire, french","[{'subject': 'source attribution, quotations, newswire, french'}]",,
-10.26302/sshade/experiment_gs_20170712_003,Ag K edge XAS transmission of natural Ag2S,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:04:50.000Z,2019-12-05T14:05:09.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,natural terrestrial,sulfide,Natural acanthite,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'natural terrestrial'}, {'subject': 'sulfide'}, {'subject': 'Natural acanthite'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.6084/m9.figshare.c.6627379,"Multiple trauma in pregnant women: injury assessment, fetal radiation exposure and mortality. A multicentre observational study",figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Fetal radiation exposure in pregnant women with trauma is a concern. The purpose of this study was to evaluate fetal radiation exposure with regard to the type of injury assessment performed. Methods It is a multicentre observational study. The cohort study included all pregnant women suspected of severe traumatic injury in the participating centres of a national trauma research network. The primary outcome was the cumulative radiation dose (mGy) received by the fetus with respect to the type of injury assessment initiated by the physician in charge of the pregnant patient. Secondary outcomes were maternal and fetal morbi-mortality, the incidence of haemorrhagic shock and the physiciansâ€™ imaging assessment with consideration of their medical specialty. Results Fifty-four pregnant women were admitted for potential major trauma between September 2011 and December 2019 in the 21 participating centres. The median gestational age was 22 weeks [12â€“30]. 78% of women (n = 42) underwent WBCT. The remaining patients underwent radiographs, ultrasound or selective CT scans based on clinical examination. The median fetal radiation doses were 38 mGy [23â€“63] and 0 mGy [0â€“1]. Maternal mortality (6%) was lower than fetal mortality (17%). Two women (out of 3 maternal deaths) and 7 fetuses (out of 9 fetal deaths) died within the first 24 h following trauma. Conclusions Immediate WBCT for initial injury assessment in pregnant women with trauma was associated with a fetal radiation dose below the 100 mGy threshold. Among the selected population with either a stable status with a moderate and nonthreatening injury pattern or isolated penetrating trauma, a selective strategy seemed safe in experienced centres.",mds,True,findable,0,0,0,0,0,2023-05-03T03:19:17.000Z,2023-05-03T03:19:17.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Biotechnology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,19999 Mathematical Sciences not elsewhere classified,FOS: Mathematics,Developmental Biology,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '19999 Mathematical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Science Policy'}]",,
-10.6084/m9.figshare.20221985,Additional file 6 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter caseâ€“control computed tomography study,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 6: Multivariate analysis of variables associated with PEEP-induced lung recruitment,mds,True,findable,0,0,27,1,0,2022-07-04T06:41:15.000Z,2022-07-04T06:41:16.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['15887 Bytes'],
-10.5281/zenodo.10069276,The Effect of Typing Efficiency and Suggestion Accuracy on Usage of Word Suggestions and Entry Speed,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Data collected during our experiments investigating the effect of suggestion accuracy and typing efficiency on usage of word suggestions, and entry speed",api,True,findable,0,0,0,0,0,2023-11-03T12:54:50.000Z,2023-11-03T12:54:50.000Z,cern.zenodo,cern,"writing,word suggestions","[{'subject': 'writing'}, {'subject': 'word suggestions'}]",,
-10.5281/zenodo.8272196,feelpp/feelpp: Feel++ Release V111 alpha.5,Zenodo,2023,,Software,Open Access,Packages ðŸ“¦ Ubuntu packages ðŸ“¦ Debian packages ðŸ“¦ Docker images What's Changed add support for EigenRand #2131 by @prudhomm in https://github.com/feelpp/feelpp/pull/2133 resolves 2123: enable dim different from realdim in BVH by @prudhomm in https://github.com/feelpp/feelpp/pull/2129 resolves 2143: clean mor by @prudhomm in https://github.com/feelpp/feelpp/pull/2146 <strong>Full Changelog</strong>: https://github.com/feelpp/feelpp/compare/v0.111.0-alpha.4...v0.111.0-alpha.5,mds,True,findable,0,0,0,0,0,2023-08-22T09:27:53.000Z,2023-08-22T09:27:54.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.24447574,Additional file 1 of Bacterial survival in radiopharmaceutical solutions: a critical impact on current practices,figshare,2023,,Dataset,Creative Commons Attribution 4.0 International,"Additional file 1. Raw data of Pseudomonas aeruginosa (ATCC: 27853), Staphylococcus aureus (ATCC: 25923) and Staphylococcus epidermidis (ATCC: 1228) survival rate in technetium-99m radioactive solutions at 1.85 to 11.1 GBq and non-radioactive technetium-99 solutions were reported.",mds,True,findable,0,0,0,0,0,2023-10-27T03:41:27.000Z,2023-10-27T03:41:27.000Z,figshare.ars,otjm,"Biophysics,Microbiology,FOS: Biological sciences,Environmental Sciences not elsewhere classified,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Biophysics'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['353871 Bytes'],
-10.26302/sshade/experiment_bs_20201114_011,"Near-infrared reflectance spectra at low temperature (300-62K) of Tschermigite and FE-Ammonium aluminium sulfate dodecahydrate [(NH4)Al(SO4)2Â·12(H2O)] powders with three grain size ranges (32-80, 80-125 and 125-150Âµm)",SSHADE/CSS (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Near-infrared reflectance spectra at low temperature of Tschermigite (270-76K) and FE-Ammonium aluminium sulfate dodecahydrate (75-62K) powder [(NH4)Al(SO4)2Â·12(H2O)] with 32-80 Âµm grain size and at room temperature (300K) with 80-125Âµm and 125-150Âµm grain sizes,mds,True,findable,0,0,0,0,0,2022-04-23T08:15:42.000Z,2022-04-23T08:15:43.000Z,inist.sshade,mgeg,"natural terrestrial,sulfate,Tschermigite,laboratory,Ammonium aluminium sulfate dodecahydrate (phase FE),laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'natural terrestrial'}, {'subject': 'sulfate'}, {'subject': 'Tschermigite'}, {'subject': 'laboratory'}, {'subject': 'Ammonium aluminium sulfate dodecahydrate (phase FE)'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['41 spectra'],['ASCII']
-10.13127/efsm20,European Fault-Source Model 2020 (EFSM20): online data on fault geometry and activity parameters,Istituto Nazionale di Geofisica e Vulcanologia (INGV),2022,en,Dataset,CC BY 4.0,"The European Fault-Source Model 2020 (EFSM20) was initially compiled in the framework of the EU Project SERA, Work Package 25, JRA3. EFSM20 includes only faults deemed capable of generating earthquakes of magnitude equal to or larger than 5.5 and aims at ensuring a harmonized input for use in ground-shaking hazard assessment in the Euro-Mediterranean area, namely the European Seismic Hazard Model 2020 (ESHM20). The EFSM20 database is hosted, maintained, and distributed by INGV through the EDSF installation (https://seismofaults.eu/) operated under the auspices of the EPOS-ERIC, TCS EPOS-Seismology, EFEHR Consortium, and the EPOS-MIUR Joint Research Unit.",api,True,findable,0,0,0,1,0,2022-10-30T16:28:46.000Z,2022-10-30T16:28:46.000Z,crui.ingv,wngn,"model of seismogenic faults,Europe,earthquakes,magnitude,slip rate,crustal fault sources,subduction fault sources,hazard model,Earth Sciences and Geology,QE - Geology,551 Geology, hydrology, meteorology,554 Earth sciences of Europe,555 Earth sciences of Asia,556 Earth sciences of Africa","[{'subject': 'model of seismogenic faults'}, {'subject': 'Europe'}, {'subject': 'earthquakes'}, {'subject': 'magnitude'}, {'subject': 'slip rate'}, {'subject': 'crustal fault sources'}, {'subject': 'subduction fault sources'}, {'subject': 'hazard model'}, {'subject': 'Earth Sciences and Geology'}, {'subject': 'QE - Geology', 'subjectScheme': 'LCC'}, {'subject': '551 Geology, hydrology, meteorology', 'subjectScheme': 'DDC'}, {'subject': '554 Earth sciences of Europe', 'subjectScheme': 'DDC'}, {'subject': '555 Earth sciences of Asia', 'subjectScheme': 'DDC'}, {'subject': '556 Earth sciences of Africa', 'subjectScheme': 'DDC'}]","['1248 crustal faults', '4 subduction systems']","['application/vnd.geo+json', 'application/vnd.mif', 'application/x-zipped-shp']"
-10.15778/resif.yb2000,Seismic network YB:CENTRAL ZAGROS lithospheric transect (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2000,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Temporary seismic network across Central Zagros (Iran). Goal: seismic imaging of the lithospheric structure from earthquake data. 66 stations on a 620-km long profile between Busher on the coast of the Persian Gulf, and Post-e-Badam, northeast of the city of Yazd. Sensors: GÃ¼ralp CMG40-T and CMG3-ESP, Streckheisen STS-2, Lennartz Le-3D-5s. Digitizers: Agecodagis Minititan.",mds,True,findable,0,0,0,1,0,2014-12-09T15:11:22.000Z,2014-12-09T15:11:22.000Z,inist.resif,vcob,"Zagros,Lithospheric structure","[{'subject': 'Zagros'}, {'subject': 'Lithospheric structure'}]","['66 stations, 125 Gb']","['Miniseed data', 'stationXML metadata']"
-10.6084/m9.figshare.13323658,Additional file 3 of Impact of advance directives on the variability between intensivists in the decisions to forgo life-sustaining treatment,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 3. Flow chart and timing of the study (Figure).,mds,True,findable,0,0,33,1,0,2020-12-03T04:33:51.000Z,2020-12-03T04:33:56.000Z,figshare.ars,otjm,"Cell Biology,Biotechnology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['131427 Bytes'],
-10.26302/sshade/experiment_op_20180313_002,Ag K edge XAS transmission of Ag metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:11:27.000Z,2019-12-05T13:11:27.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Ag,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Ag'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.6084/m9.figshare.16851111,Additional file 22 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Text,Creative Commons Attribution 4.0 International,"Additional file 22: Fig. S15. Association between NME4 and regulators of EMT in the human breast tumor METABRIC database. The database (1904 human breast tumors) was retrieved for mRNA expression of NME4 and EMT markers and their correlation analyzed: epithelial markers, CDH1 and KRT18 (A); mesenchymal markers, CDH2 and VIM (B); EMT drivers, ZEB1, ZEB2 (C), SNAI1, SNAI2 (D), TWIST1, TWIST2 (E), and the EMT score (F). Correlation coefficients are summarized in (G).",mds,True,findable,0,0,93,1,0,2021-10-22T04:05:50.000Z,2021-10-22T04:05:52.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['715670 Bytes'],
-10.5061/dryad.dc25730,Data from: Unlocking biodiversity and conservation studies in highâ€diversity environments using environmental DNA (eDNA): a test with Guianese freshwater fishes,Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"Determining the species compositions of local assemblages is a prerequisite to understanding how anthropogenic disturbances affect biodiversity. However, biodiversity measurements often remain incomplete due to the limited efficiency of sampling methods. This is particularly true in freshwater tropical environments that host rich fish assemblages, for which assessments are uncertain and often rely on destructive methods. Developing an efficient and non-destructive method to assess biodiversity in tropical freshwaters is highly important. In this study, we tested the efficiency of environmental DNA (eDNA) metabarcoding to assess the fish diversity of 39 Guianese sites. We compared the diversity and composition of assemblages obtained using traditional and metabarcoding methods. More than 7,000 individual fish belonging to 203 Guianese fish species were collected by traditional sampling methods, and ~17 million reads were produced by metabarcoding, among which ~8 million reads were assigned to 148 fish taxonomic units, including 132 fish species. The two methods detected a similar number of species at each site, but the species identities partially matched. The assemblage compositions from the different drainage basins were better discriminated using metabarcoding, revealing that while traditional methods provide a more complete but spatially limited inventory of fish assemblages, metabarcoding provides a more partial but spatially extensive inventory. eDNA metabarcoding can therefore be used for rapid and large-scale biodiversity assessments, while at a local scale, the two approaches are complementary and enable an understanding of realistic fish biodiversity.",mds,True,findable,361,72,1,1,0,2018-05-09T18:32:17.000Z,2018-05-09T18:32:18.000Z,dryad.dryad,dryad,"fish assemblage,reference database,Teleostei","[{'subject': 'fish assemblage'}, {'subject': 'reference database'}, {'subject': 'Teleostei'}]",['5186813450 bytes'],
-10.15778/resif.z72018,"Rittershoffen (Bas-Rhin, France) Dense nodal seismic array temporary experiment (RESIf-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2021,,Dataset,,"This experiment consists in the deployment of 65 nodes (Fairfield, 3C, 5Hz) for one month in the vicinity of the Rittershoffen (France) deep geothermal project located in the upper rhine graben. Based on 2 seismic arrays of 25 nodes each, it is intended to better analyse the microseismic events induced by the exploitation (circulation phase) of a deep geothermal reservoir located at ~3km depth.",mds,True,findable,0,0,0,1,0,2018-08-30T14:25:57.000Z,2018-08-30T14:26:58.000Z,inist.resif,vcob,"seismology,micro-seismicity,ambient seismic noise,deep geothermal reservoir","[{'subject': 'seismology'}, {'subject': 'micro-seismicity'}, {'subject': 'ambient seismic noise'}, {'subject': 'deep geothermal reservoir'}]",,
-10.26302/sshade/experiment_mc_20141201_001,Co K edge XAS transmission and XAS fluorescence of organic and inorganic Co(II) and Co(III) reference compounds for the study of Co in bacteria,SSHADE/FAME (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Varying the Co environment and adapting the observation mode as a function of the Co content,mds,True,findable,0,0,0,0,0,2019-12-05T09:43:02.000Z,2019-12-05T09:43:02.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,organic salt,Co(III)-acethylacetonate,Co(II)-acetate,oxide-hydroxide,CoFe2O4 nanoparticles,nitrate,Co(II)-nitrate,phosphate,Co(II)-phosphate,laboratory,molecular solid solution,Frozen solution of Co-histidine,Frozen solution of Co-nicotianamine,Frozen solution of Vitamin B12,Frozen solution of Co-cysteine,Frozen solution of Co-glutathione,laboratory measurement,transmission,None,hard X,hard X-rays,fluorescence emission","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'organic salt'}, {'subject': 'Co(III)-acethylacetonate'}, {'subject': 'Co(II)-acetate'}, {'subject': 'oxide-hydroxide'}, {'subject': 'CoFe2O4 nanoparticles'}, {'subject': 'nitrate'}, {'subject': 'Co(II)-nitrate'}, {'subject': 'phosphate'}, {'subject': 'Co(II)-phosphate'}, {'subject': 'laboratory'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of Co-histidine'}, {'subject': 'Frozen solution of Co-nicotianamine'}, {'subject': 'Frozen solution of Vitamin B12'}, {'subject': 'Frozen solution of Co-cysteine'}, {'subject': 'Frozen solution of Co-glutathione'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'fluorescence emission'}]",['10 spectra'],['ASCII']
-10.26302/sshade/bandlist_raman_nitratine,Raman bandlist of natural Nitratine,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Nitratine at 295K,mds,True,findable,0,0,0,0,0,2023-08-20T15:13:51.000Z,2023-08-20T15:13:52.000Z,inist.sshade,mgeg,"Nitratine,Sodium cation,Nitrate anion,Sodium(1+) cation,17341-25-2,Na+,(NO3)-,NaNO3,Nitratine,non-silicate mineral,nitrate,carbonates, nitrates, borates,simple nitrates,-Nitratine- group,18.01.01.01,05.NA.05,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Nitratine', 'subjectScheme': 'name'}, {'subject': 'Sodium cation', 'subjectScheme': 'name'}, {'subject': 'Nitrate anion', 'subjectScheme': 'name'}, {'subject': 'Sodium(1+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '17341-25-2', 'subjectScheme': 'CAS number'}, {'subject': 'Na+', 'subjectScheme': 'formula'}, {'subject': '(NO3)-', 'subjectScheme': 'formula'}, {'subject': 'NaNO3', 'subjectScheme': 'formula'}, {'subject': 'Nitratine', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'nitrate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'simple nitrates', 'subjectScheme': 'Dana class'}, {'subject': '-Nitratine- group', 'subjectScheme': 'Dana group'}, {'subject': '18.01.01.01', 'subjectScheme': 'Dana code'}, {'subject': '05.NA.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5281/zenodo.10205605,TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa,Zenodo,2023,,Text,Creative Commons Attribution 4.0 International,"This data platform entitled 'TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa'Â is a presentation of climate and energy resources data for two Sub-Saharan African regions. Climate change is now a fact and African countries are more vulnerable. To better prepare for mitigation and adaptation, projection information is needed. The challenge of climate model data output is that they are available at the global level and are associated with some biases. This makes studies at the country or sub-county level difficult especially impact study. This study aims to (i) downscale, (ii) bias-adjust, (iii) aggregate at country and sub-country levels, and (iv) estimate the wind power and solar power potential. Moreover, a database platform is built to make the prepared climate data and estimated energy potential dataset freely available for researchers, universities, and decision-makers in West and Central African countries.Â  This manuscript presents the performance of the approach and the distribution of climate and energy variables.Â ",api,True,findable,0,0,0,0,0,2023-11-25T10:37:08.000Z,2023-11-25T10:37:08.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7225366,Videos of scenario executions on carla,Zenodo,2022,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access",Videos of the executions on the simulator Carla of driving scenarios.,mds,True,findable,0,0,0,0,0,2022-10-19T13:03:58.000Z,2022-10-19T13:03:58.000Z,cern.zenodo,cern,,,,
-10.17178/amma-catch.cl.raind_gh,"Precipitation dataset (daily rainfall), over the Hombori site (2500 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of daily rainfall in Northern Sahel. The aim is to characterize the temporal and spatial variability within the Hombori super-site. Data will be used in modelling and assimilation activities, as well as for validation of satellite products. The synoptic meteorological Hombori station has stopped to operate since 2011.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:12.000Z,2018-03-16T15:37:12.000Z,inist.osug,jbru,"Daily rainfall, precipitation, tropical convection,Sahelian/Saharan climate,Precipitation Amount","[{'subject': 'Daily rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.10474700,MIPkit-A (MISOMIP2),Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"Observational data gathered and reprocessed to facilitate the evaluation of ocean and ice-sheet models in the Amundsen Sea sector as part ofÂ MISOMIP2.
-
-Â 
-
-__________________________________________
-
-This entire dataset should be cited as:Â 
-
-
-
-the MISOMIP2 MIPkit-A dataset (http://zenodo.org/doi/10.5281/zenodo.10062355) that includes data collected through multiple cruises of Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany), as well as regridded glaciological data from the MeaSUREs, MeaSUREs ITS_LIVE and CPOM projects
-
-
-For more specific use of some of the MIPkit-A data, we encourage people to cite the original data referenced below.
-
-Â 
-
-__________________________________________
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-IceSurfVel_MIPkitA_2000-2019 : annual maps of ice surface velocity
-
-Surface-parallel velocity vectors (in m/year) between 2000 and 2019 are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of all available Earth observation data from the MeaSUREs project (Rignot et al. 2014Â and Mouginot et al. 2017) and MeaSUREs ITS_LIVE project (Gardner et al. 2022), with weights corresponding to the inverse square error of the original datasets. Propagated errors and a mask indicating the original data sources for each grid point are also included.
-
-Â 
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-__________________________________________
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-IceSurfElChange_MIPkitA_1992-2019 : annual maps of surface elevation change
-
-Surface elevation changes (in m) between 1992 and 2019, relative to 16-Dec-2013, are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of available Earth observation data from CPOM (Otosaka al. 2023) and MeaSUREs ITS_LIVE (Nilsson et al. 2023) for the grounded ice and MeaSUREs ITS_LIVE data (Paolo et al. 2023) for floating ice. Propagated errors and a mask indicating the original data sources for each grid point are also included.
-
-Â 
-
-__________________________________________
-
-Oce3d_MIPkitA_* : 3-dimensional temperature and salinity (horizontal slices every 100m)
-
-The hydrographic properties provided on horizontal sections at 15 depths come from the CTD measurements obtained during cruises of the following icebreaker research vessels: Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany). In this MIPkit, we have gathered data for the first months of 1994, 2000, 2007, 2009 (Jacobs, 1994, 2000, 2007, 2009), 2010 (Swedish Polar Research Secretariat 2010; Gohl 2015), 2012 (Kim et al. 2012), 2014 (Heywood 2014; Ha et al. 2014), 2016 (Kim et al. 2016), 2017 (Gohl 2017), 2018 (Kim et al. 2018), 2019 (Larter et al. 2019) and 2020 (Wellner, 2020).
-
-Â 
-
-__________________________________________
-
-OceSec<n>_MIPkitA_* : vertical sections
-
-The first vertical (OceSec1) section where we provide hydrographic data in the Amundsen Sea starts across the continental shelf break and follows the Eastern Pine Island Trough southward until Pine Island Ice Shelf. This section was monitored by the following cruises: N.B. Palmer in January 2009, Polarstern in March 2010 and Araon in February-March 2012 (Jacobs et al. 2011; Gohl 2015; Dutrieux et al. 2014). The second vertical section (OceSec2) starts across the continental shelf break and follows the Dotson-Getz Trough southward until the Dotson Ice Shelf. It was monitored by the aforementioned Araon expeditions in 2010â€“2011 and early 2012 (Kim et al. 2017).
-
-The files OceSec<n>_model_lon_lat.csv contain the coordinates (longitude, latitude) at which model data should be interpolated to be compared to the observational sections.
-
-Â 
-
-__________________________________________
-
-OceMoor<n>_MIPkitA_* : moorings
-
-The first mooring site (OceMoor1) is located near the northern part of the Pine Island ice shelf front (102.07Â°W, 74.87Â°S) and captures the thermocline variability from 2012 to 2018 (""iSTAR-8"" in NERC iSTAR program, and ""pig-n"" in NERC Ocean Forcing Ice Change Program). The second mooring site (OceMoor2)is located near the southern part of the Pine Island ice shelf front (102.15Â°W, 75.05Â°S), was monitored between 2009 and 2016, then in 2019â€“2020 through the following moorings: ""BSR-5"" (Buoy Supported Riser; Jacobs 2009), ""iSTAR-9"" (NERC iSTAR Program), and ""pig-s"" (NERC Ocean Forcing Ice Change Program). This second site experienced a strong deepening of the thermocline in 2012â€“2013 (Webber et al. 2017), then a more moderate deepening in 2016. These two mooring sites are located only 20 km from each other, show distinct mean thermocline depth and more consistent variability (Joughin et al. 2021).
-
-The third mooring observation (OceMoor3, ""trough-e"" in NERC Ocean Forcing Ice Change Program) used in MISOMIP is at the eastern Pine Island trough (102.55Â°W, 71.33Â°S). The eastern trough is considered to be the entrance of mCDW reaching the Pine Island Ice Shelf (Jacobs et al. 2011; Nakayama et al. 2013; Webber et al. 2017) but only two years of mooring observation was conducted from 2014-2015 due to important sea ice cover. The fourth mooring site (OceMoor4) used in MISOMIP is at the western Pine Island trough (113.05Â°W, 71.56Â°S). Several mooring observations were conducted within 2 km of each other, allowing us to observe thermocline variability from 2009 to 2016 with one year gap in 2011: ""BSR-12"" (Jacobs 2009), ""iSTAR-1"" (NERC iSTAR Program), and ""trough-w"" (NERC Ocean Forcing Ice Change Program).
-
-Â 
-
-Â 
-
-__________________________________________
-
-The archive example_routines.zip contains example of Matlab routines that were used to prepare the MIPkit-A ocean data, as well as GenerateData_MIPkit_Ice.m and writeNC_MIPkit_Ice.m that were used to process the MIPkit-A glaciological data.
-
-Â 
-
-Â 
-
-__________________________________________
-
-References
-
-Dutrieux, P., De Rydt, J., Jenkins, A., Holland, P. R., Ha, H. K., Lee, S. H., Steig, E. J., Ding, Q., Abrahamsen, E. P., and SchrÃ¶der, M.: Strong sensitivity of Pine Island ice-shelf melting to climatic variability, Science, 343, 174â€“178, 2014.
-
-Gohl, K.: Station list and links to master tracks in different resolutions of POLARSTERN cruise ANT-XXVI/3, Wellington - Punta Arenas, 2010-01-30 - 2010-04-05, Tech. rep., Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, https://doi.org/10.1594/PANGAEA.847944, 2015.
-
-Gohl, K.: The Expedition PS104 of the Research Vessel POLARSTERN to the Amundsen Sea in 2017, Reports on polar and marine research, Tech. rep., Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, http://doi.org/10.2312/BzPM_0712_2017, 2017.
-
-Ha, H. K., Kim, T. W., Lee, H. J., Kang, C. Y., Hong, C. S., WÃ¥hlin, A. K., Rolandsson, J., Karen, O., and Miles, T.: The Amundsen Sea Expedition (ANA04B): IBRV Araon, 24 December 2013 â€“ 25 January 2014 â€“ Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4605, 2014.
-
-Heywood, K. 690 J.: JR294/295 Cruise Report, Ice Sheet Stability Programme (iSTAR), RRS James Clark Ross, 26th February â€“ 8th March 2014, Amundsen Sea, Tech. rep., Natural Environment Research Council (NERC), https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/13405/, 2014.
-
-Jacobs, S.: Cruise NBP9402, RVIB Nathaniel B. Palmer, Feb 14 â€“ Apr 5 1994, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905397, 1994.
-
-Jacobs, S.: Cruise NBP0001, RVIB Nathaniel B. Palmer, Feb 15 â€“ Apr 1 2000, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905450, 2000.
-
-Jacobs, S.: Cruise NBP0702, RVIB Nathaniel B. Palmer, Feb 03 â€“ Mar 25 2007, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905530, 2007.
-
-Jacobs, S.: Cruise NBP0901, RVIB Nathaniel B. Palmer, Jan 05 â€“ Feb 26 2009, Tech. rep., United States Antarctic Program,Â http://doi.org/10.7284/905547, 2009.
-
-Jacobs, S. S., Jenkins, A., Giulivi, C. F., and Dutrieux, P.: Stronger ocean circulation and increased melting under Pine Island Glacier ice shelf, Nature Geoscience, 4, 519â€“523, 2011.
-
-Joughin, I., Shapero, D., Smith, B., Dutrieux, P., and Barham, M.: Ice-shelf retreat drives recent Pine Island Glacier speedup, Science Advances, 7, eabg3080, 2021.
-
-Kim, T. W., H, H. K., and Hong, C. S.: The Amundsen Sea Expedition (ANA02C): IBRV Araon, 31 January 2012 â€“ 20 March 2012 â€“ Chapther 1: Hydrographic Survey, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4603, 2012.
-
-Kim, T. W., Cho, K. H., Kim, C. S., Yang, H. W., La, H. S., Lee, J. H., Kim, D. K., Jung, J. H., WÃ¥hlin, A. K., Assmann, K. M., Darelius, E., Abrahamsen, E. P., and Waite, N.: The Amundsen Sea Expedition (ANA06B): IBRV Araon, 6 January â€“ 23 February 2016 â€“ Chapther 1: Physical Oceanography in Amundsen Sea, Tech. rep., Korea Polar Research Institute, Incheon, https://ftp.nmdc.no/nmdc/UIB/Mooring/20181213/ANA06B_cruise_report.pdf, 2016.
-
-Kim, T.-W., Ha, H. K., WÃ¥hlin, A. K., Lee, S., Kim, C.-S., Lee, J. H., and Cho, Y.-K.: Is Ekman pumping responsible for the seasonal variation of warm circumpolar deep water in the Amundsen Sea?, Continental Shelf Research, 132, 38â€“48, 2017.
-
-Kim, T. W., Cho, K. H., Park, T. W., Yang, H. W., Kim, Y., Assmann, K. M., Rolandsson, J., Dutrieux, P., Gobat, J., Beem, L., Richter, T., Buhl, D., and Durand, I.: The Amundsen Sea Expedition (ANA08B): IBRV Araon, 21 December 2017 â€“ 13 February 2018 â€“ Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/9441, 2018.
-
-Larter, R., Barham, M., Boehme, L., Braddock, S., Graham, A., Hogan, K., Mazur, A., Minzoni, R., Queste, B., Sheehan, P., Spoth, M., WÃ¥hlin, A., Bortolotto-d'Oliveira, G., Clark, R. W., Fitzgerald, V., Karam, S., Kirkham, J., Stedt, F., Zheng, Y., Beeler, C., Goodell, J., Rush, E., Snow, T., Welzenbach, L., Andersson, J., and Rolandsson, J.: Cruise NBP1902, RVIB Nathaniel B. Palmer, Jan 29 â€“ Mar 25 2019, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908147, 2019.
-
-Nakayama, Y., SchrÃ¶der, M., and Hellmer, H. H.: From circumpolar deep water to the glacial meltwater plume on the eastern Amundsen Shelf, Deep Sea Res. I, 77, 50â€“62, 2013.
-
-Swedish Polar Research Secretariat: Oden Southern Ocean 2009/10 - Conductivity-Temperature-Depth (CTD) Data Collected Onboard Icebreaker Oden during February through March 2010, Tech. rep., Swedish Polar Research, http://snd.gu.se/en/catalogue/dataset/ecds0220-1, 2010.
-
-Webber, B. G. M., Heywood, K. J., Stevens, D. P., Dutrieux, P., Abrahamsen, E. P., Jenkins, A., Jacobs, S. S., Ha, H. K., Lee, S. H., and Kim, T. W.: Mechanisms driving variability in the ocean forcing of Pine Island Glacier, Nature Communications, 8, 1â€“8, 2017.
-
-Wellner, J.: Cruise NBP2002, RVIB Nathaniel B. Palmer, Jan 25 2020 â€“ Mar 08 2020, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908803, 2019.",api,True,findable,0,0,0,0,0,2024-01-09T15:27:46.000Z,2024-01-09T15:27:46.000Z,cern.zenodo,cern,,,,
-10.15778/resif.xg2020,"France 2020, Dense nodal seismic array in the RhÃ´ne Valley, DARE project",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2023,,Dataset,,"400 all-in-one 3-component seismic nodes were deployed for one month (mid-February â€“ mid-March 2020) in the French RhÃ´ne Valley. This campaign, carried out by IRSN with the help of EGIS and SISPROBE companies, targeted a 10x10 km area near the town of Pierrelatte (DrÃ´me, France) and the Tricastin critical facilities. This campaign aimed to characterize the local geological structure and its impact on the seismic motion in the framework of a French-German research collaboration (DARE project). Before this massive deployment, a smaller scale campaign was carried out to investigate the feasibility of the planned dense experiment. In this context, 30 nodes were deployed in the same area 3 months before (November 2019) for 2 weeks. These nodes recorded the Mw4.9 Le Teil earthquake (November 11, 2019) that occurred at about 20 km north of the 30-node network. Due to earthquake proximity and magnitude, the earthquake recordings are clipped on most of the stations. This dataset corresponds to the data acquired during these two campaigns.",mds,True,findable,0,0,0,2,0,2022-03-18T09:01:00.000Z,2022-03-18T09:01:22.000Z,inist.resif,vcob,"Seismic Hazard,Site Effects,Passive experiment,Le Teil Earthquake","[{'subject': 'Seismic Hazard'}, {'subject': 'Site Effects'}, {'subject': 'Passive experiment'}, {'subject': 'Le Teil Earthquake'}]","['430 stations, 1150Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.26302/sshade/experiment_cc_20180725_01,VNIR reflectance spectra of Natron with 3 different grain sizes and at variable temperature (93-279 K),SSHADE/REFL_SLAB+CSS (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR (0.5-4 Âµm) reflectance spectra of Natron with three different grain sizes (36-50, 75-100 and 125-150 Âµm) acquired at 11 temperatures between 93K and 279K",mds,True,findable,0,0,0,0,0,2019-12-19T19:01:56.000Z,2019-12-19T19:01:57.000Z,inist.sshade,mgeg,"solid,commercial,carbonate,Natron,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'carbonate'}, {'subject': 'Natron'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['36 spectra'],['ASCII']
-10.15778/resif.yx2001,3F-Corinth Project temporary experiment (ENK6-CT-2000-00056),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2017,en,Other,"Open Access,Creative Commons Attribution 4.0 International",Travel time tomography based on earthquakes,mds,True,findable,0,0,0,1,0,2018-04-19T11:40:11.000Z,2018-04-19T11:40:11.000Z,inist.resif,vcob,"Seismology,Tomography,Corinth Gulf,Greece","[{'subject': 'Seismology'}, {'subject': 'Tomography'}, {'subject': 'Corinth Gulf'}, {'subject': 'Greece'}]",,
-10.5281/zenodo.4745564,robertxa/Th-Config-Xav: Zenodo DOI,Zenodo,2021,,Software,Open Access,Therion Config file to simplify *.thconfig files and associated (and commented) template files,mds,True,findable,0,0,0,0,0,2021-05-10T10:25:22.000Z,2021-05-10T10:25:23.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.21430974,Additional file 2 of Digitally-supported patient-centered asynchronous outpatient follow-up in rheumatoid arthritis - an explorative qualitative study,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 2,mds,True,findable,0,0,0,0,0,2022-10-29T03:17:13.000Z,2022-10-29T03:17:14.000Z,figshare.ars,otjm,"Medicine,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['14460 Bytes'],
-10.26302/sshade/experiment_rb_20130101_001,"Ion irradiation ($He^+$, $Ar^+$) of an Allende meteorite pellet probed by Raman spectroscopy",SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Raman spectra of pellet nÂ°1 and nÂ°2 of the Allende meteorite, with different irradiation spots on the surface. Raman micro-spectroscopy was performed at the SMIS beamline at SOLEIL using a DXR Raman micro-spectrometer from Thermo Fisher with a 532 nm exciting laser radiation, and a power on the sample lower than 0.3 mW, producing power densities lower than 300 W/mm2.",mds,True,findable,0,0,0,0,0,2022-05-27T17:02:42.000Z,2022-05-27T17:02:42.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CV,complex organic-mineral mix,matrix Allende,complex mineral mix,chondrules Allende,CAIs Allende,laboratory measurement,Raman scattering,micro-imaging,MIR,Mid-Infrared,FIR,Far-Infrared,Raman scattering intensity","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CV'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Allende'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Allende'}, {'subject': 'CAIs Allende'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'micro-imaging'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'Raman scattering intensity'}]",['9 spectra'],['ASCII']
-10.5061/dryad.0p2ngf1w2,Electrical conductivity versus temperature in freezing conditions: a field experiment using a basket geothermal heat exchanger,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"In-situ experiment. Geothermal setup: Five heat exchangers (HE) are arranged in a line and are buried between 1.1 and 3.5 meters. Just two baskets worked: one (HE.5) for a correct functioning of the heat pump and the other (HE1) to freeze the ground. only, this last exchanger (HE1) has been monitored in temperature and electrical resistivity tomography. The basket HE.5 is too far away to have an influence during this experiment, the heat pump was started at 0 hour and worked during 518 hours. The temperature of ground was recorded every minutes, thanks to 41 probes (4 wire Pt100), divided into 7 vertical profils. theses profiles are located at 0, 3, 6, 7, 8, 11, 20, 21 meters (x-distance), and the used heat exchangers are at 7 meters for the HE.1 and at 24 meters for the HE.5, respectively. Electrical Resitivity Tomography (ERT): Before and during the running of the geothermal system, gephysical monitoring was carried out. At the end, nine tomography images were recorded using a SAS-1000 Terrameter (ABEM) associated with 64 electrodes arranged in straigth line (2D acquisition, with a spacing between electrodes of one meter). Apparent resisitivities were inverted with IP4DI software, incorporating spatial and time regularization --Laboratory experiments-- we sampled the soil around the exchanger using an auger. the soil consists of a mixture of clay, silts and some gravels. Two samples are selected in order to conduct some electrical measurement at different temperature. They were dried and then saturated with water from the aquifer (0.117 S/m at 27Â°C) and put in a thermo-regulated bath (KISS K6 from Huber). At each temperature level, a SIP spectrum was performed with ZSIP, from 0.01 hz to 45 khz.Temperature levels are 20, 15, 10, 5, 2, 0, -2, -4, -6, -8, -10, -14, -18Â°C. FIles--- Field. Temperature measurements and inverted resitivity: This file contains the temperature measurements and inverted resistivities from geophysical monitoring, presented in the article. Field. Comparaison conductivity vs temperature: This file corresponds to the data extracted from the temperature and inverted resistivity sections in order to attest the resistivity vs temperature relationship. - Laboratory. Comparaison conductivity vs temperature: This file contains the data of the phase and quadrature conductivity as a function of temperature for both samples measured in the laboratory by SIP method.",mds,True,findable,170,20,0,1,0,2019-12-09T15:34:04.000Z,2019-12-09T15:34:05.000Z,dryad.dryad,dryad,"Permafrost,soil freezing curve,electrical conductivity","[{'subject': 'Permafrost'}, {'subject': 'soil freezing curve'}, {'subject': 'electrical conductivity'}]",['283011 bytes'],
-10.5281/zenodo.7655981,Data for Widespread detection of chlorine oxyacids in the Arctic atmosphere: Villum Research Station and Ny-Ã…lesund observations,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",The data includes: 1) Data for the time series of HClO3 and HClO4 together with relevant data from the Villum Research Station observations. 2) Data for the time series of HClO3 from Ny-Ã…lesund observation. 3) Data of the estimated cross-section and photolysis rate of HClO3 and HClO4. Data are also available from the corresponding authors upon request.,mds,True,findable,0,0,0,0,0,2023-02-20T08:12:38.000Z,2023-02-20T08:12:38.000Z,cern.zenodo,cern,chlorine oxyacids,[{'subject': 'chlorine oxyacids'}],,
-10.5281/zenodo.7802771,Theoretical water binding energy distribution and snowline in protoplanetary disks,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Zip file containing all the structures and input obtained in our accepted article for publication in ApJ, 2023 To easily handle all these structures an online interactive page is created: https://tinaccil.github.io/Jmol_BE_H2O_visualization/",mds,True,findable,0,0,0,0,0,2023-04-05T15:17:36.000Z,2023-04-05T15:17:37.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4282267,SPEECH-COCO,Zenodo,2017,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>SpeechCoco</strong> <em>Introduction</em> Our corpus is an extension of the MS COCO image recognition and captioning dataset. MS COCO comprises images paired with a set of five captions. Yet, it does not include any speech. Therefore, we used Voxygen's text-to-speech system to synthesise the available captions. The addition of speech as a new modality enables MSCOCO to be used for researches in the field of language acquisition, unsupervised term discovery, keyword spotting, or semantic embedding using speech and vision. Our corpus is licensed under a Creative Commons Attribution 4.0 License. <em>Data Set</em> This corpus contains <strong>616,767</strong> spoken captions from MSCOCO's val2014 and train2014 subsets (respectively 414,113 for train2014 and 202,654 for val2014). We used 8 different voices. 4 of them have a British accent (Paul, Bronwen, Judith, and Elizabeth) and the 4 others have an American accent (Phil, Bruce, Amanda, Jenny). In order to make the captions sound more natural, we used SOX <em>tempo</em> command, enabling us to change the speed without changing the pitch. 1/3 of the captions are 10% slower than the original pace, 1/3 are 10% faster. The last third of the captions was kept untouched. We also modified approximately 30% of the original captions and added <strong>disfluencies</strong> such as ""um"", ""uh"", ""er"" so that the captions would sound more natural. Each WAV file is paired with a JSON file containing various information: timecode of each word in the caption, name of the speaker, name of the WAV file, etc. The JSON files have the following data structure: <pre><code class=""language-json"">{ ""duration"": float, ""speaker"": string, ""synthesisedCaption"": string, ""timecode"": list, ""speed"": float, ""wavFilename"": string, ""captionID"": int, ""imgID"": int, ""disfluency"": list }</code></pre> On average, each caption comprises 10.79 tokens, disfluencies included. The WAV files are on average 3.52 seconds long. <em>Repository</em> The repository is organized as follows: CORPUS-MSCOCO (~75GB once decompressed) <strong>train2014/</strong> : folder contains 413,915 captions json/ wav/ translations/ train_en_ja.txt train_translate.sqlite3 train_2014.sqlite3 <strong>val2014/</strong> : folder contains 202,520 captions json/ wav/ translations/ train_en_ja.txt train_translate.sqlite3 val_2014.sqlite3 <strong>speechcoco_API/</strong> speechcoco/ __init__.py speechcoco.py setup.py <em>Filenames</em> <strong>.wav</strong> files contain the spoken version of a caption <strong>.json</strong> files contain all the metadata of a given WAV file <strong>.sqlite3</strong> files are SQLite databases containing all the information contained in the JSON files We adopted the following naming convention for both the WAV and JSON files: <em>imageID_captionID_Speaker_DisfluencyPosition_Speed[.wav/.json]</em> <em>Script</em> We created a script called <strong>speechcoco.py</strong> in order to handle the metadata and allow the user to easily find captions according to specific filters. The script uses the *.db files. Features: <strong>Aggregate all the information in the JSON files into a single SQLite database</strong> <strong>Find captions according to specific filters (name, gender and nationality of the speaker, disfluency position, speed, duration, and words in the caption).</strong> <em>The script automatically builds the SQLite query. The user can also provide his own SQLite query.</em> <em>The following Python code returns all the captions spoken by a male with an American accent for which the speed was slowed down by 10% and that contain ""keys"" at any position</em> <pre><code class=""language-python""># create SpeechCoco object db = SpeechCoco(train_2014.sqlite3, train_translate.sqlite3, verbose=True) # filter captions (returns Caption Objects) captions = db.filterCaptions(gender=""Male"", nationality=""US"", speed=0.9, text='%keys%') for caption in captions: print('\n{}\t{}\t{}\t{}\t{}\t{}\t\t{}'.format(caption.imageID, caption.captionID, caption.speaker.name, caption.speaker.nationality, caption.speed, caption.filename, caption.text))</code></pre> <pre><code>... 298817 26763 Phil 0.9 298817_26763_Phil_None_0-9.wav A group of turkeys with bushes in the background. 108505 147972 Phil 0.9 108505_147972_Phil_Middle_0-9.wav Person using a, um, slider cell phone with blue backlit keys. 258289 154380 Bruce 0.9 258289_154380_Bruce_None_0-9.wav Some donkeys and sheep are in their green pens . 545312 201303 Phil 0.9 545312_201303_Phil_None_0-9.wav A man walking next to a couple of donkeys. ...</code></pre> <strong>Find all the captions belonging to a specific image</strong> <pre><code class=""language-python"">captions = db.getImgCaptions(298817) for caption in captions: print('\n{}'.format(caption.text))</code></pre> <pre><code>Birds wondering through grassy ground next to bushes. A flock of turkeys are making their way up a hill. Um, ah. Two wild turkeys in a field walking around. Four wild turkeys and some bushes trees and weeds. A group of turkeys with bushes in the background.</code></pre> <strong>Parse the timecodes and have them structured</strong> <strong>input</strong>: <pre><code>... [1926.3068, ""SYL"", """"], [1926.3068, ""SEPR"", "" ""], [1926.3068, ""WORD"", ""white""], [1926.3068, ""PHO"", ""w""], [2050.7955, ""PHO"", ""ai""], [2144.6591, ""PHO"", ""t""], [2179.3182, ""SYL"", """"], [2179.3182, ""SEPR"", "" ""] ...</code></pre> <strong>output</strong>: <pre><code class=""language-python"">print(caption.timecode.parse())</code></pre> <pre><code>... { 'begin': 1926.3068, 'end': 2179.3182, 'syllable': [{'begin': 1926.3068, 'end': 2179.3182, 'phoneme': [{'begin': 1926.3068, 'end': 2050.7955, 'value': 'w'}, {'begin': 2050.7955, 'end': 2144.6591, 'value': 'ai'}, {'begin': 2144.6591, 'end': 2179.3182, 'value': 't'}], 'value': 'wait'}], 'value': 'white' }, ...</code></pre> <strong>Convert the timecodes to Praat TextGrid files</strong> <pre><code class=""language-python"">caption.timecode.toTextgrid(outputDir, level=3)</code></pre> <strong>Get the words, syllables and phonemes between</strong> <em>n</em> <strong>seconds/milliseconds</strong> <em>The following Python code returns all the words between 0.2 and 0.6 seconds for which at least 50% of the word's total length is within the specified interval</em> <pre><code class=""language-python"">pprint(caption.getWords(0.20, 0.60, seconds=True, level=1, olapthr=50))</code></pre> <pre><code>... 404537 827239 Bruce US 0.9 404537_827239_Bruce_None_0-9.wav Eyeglasses, a cellphone, some keys and other pocket items are all laid out on the cloth. . [ { 'begin': 0.0, 'end': 0.7202778, 'overlapPercentage': 55.53412863758955, 'word': 'eyeglasses' } ] ...</code></pre> <strong>Get the translations of the selected captions</strong> <em>As for now, only japanese translations are available. We also used</em> Kytea <em>to tokenize and tag the captions translated with Google Translate</em> <pre><code class=""language-python"">captions = db.getImgCaptions(298817) for caption in captions: print('\n{}'.format(caption.text)) # Get translations and POS print('\tja_google: {}'.format(db.getTranslation(caption.captionID, ""ja_google""))) print('\t\tja_google_tokens: {}'.format(db.getTokens(caption.captionID, ""ja_google""))) print('\t\tja_google_pos: {}'.format(db.getPOS(caption.captionID, ""ja_google""))) print('\tja_excite: {}'.format(db.getTranslation(caption.captionID, ""ja_excite"")))</code></pre> <pre><code> Birds wondering through grassy ground next to bushes. ja_google: é³¥ã¯èŒ‚ã¿ã®ä¸‹ã«èŒ‚ã£ãŸåœ°é¢ã‚’æŠ±ãˆã¦ã„ã¾ã™ã€‚ ja_google_tokens: é³¥ ã¯ èŒ‚ã¿ ã® ä¸‹ ã« èŒ‚ ã£ ãŸ åœ°é¢ ã‚’ æŠ±ãˆ ã¦ ã„ ã¾ ã™ ã€‚ ja_google_pos: é³¥/åè©ž/ã¨ã‚Š ã¯/åŠ©è©ž/ã¯ èŒ‚ã¿/åè©ž/ã—ã’ã¿ ã®/åŠ©è©ž/ã® ä¸‹/åè©ž/ã—ãŸ ã«/åŠ©è©ž/ã« èŒ‚/å‹•è©ž/ã—ã’ ã£/èªžå°¾/ã£ ãŸ/åŠ©å‹•è©ž/ãŸ åœ°é¢/åè©ž/ã˜ã‚ã‚“ ã‚’/åŠ©è©ž/ã‚’ æŠ±ãˆ/å‹•è©ž/ã‹ã‹ãˆ ã¦/åŠ©è©ž/ã¦ ã„/å‹•è©ž/ã„ ã¾/åŠ©å‹•è©ž/ã¾ ã™/èªžå°¾/ã™ ã€‚/è£œåŠ©è¨˜å·/ã€‚ ja_excite: ä½Žæœ¨ã¨éš£æŽ¥ã—ãŸè‰æ·±ã„ã‚°ãƒ©ã‚¦ãƒ³ãƒ‰ã‚’é€šã£ã¦ç–‘ã†é³¥ã€‚ A flock of turkeys are making their way up a hill. ja_google: ä¸ƒé¢é³¥ã®ç¾¤ã‚ŒãŒä¸˜ã‚’ä¸Šã£ã¦ã„ã¾ã™ã€‚ ja_google_tokens: ä¸ƒ é¢ é³¥ ã® ç¾¤ã‚Œ ãŒ ä¸˜ ã‚’ ä¸Š ã£ ã¦ ã„ ã¾ ã™ ã€‚ ja_google_pos: ä¸ƒ/åè©ž/ãªãª é¢/åè©ž/ã‚ã‚“ é³¥/åè©ž/ã¨ã‚Š ã®/åŠ©è©ž/ã® ç¾¤ã‚Œ/åè©ž/ã‚€ã‚Œ ãŒ/åŠ©è©ž/ãŒ ä¸˜/åè©ž/ãŠã‹ ã‚’/åŠ©è©ž/ã‚’ ä¸Š/å‹•è©ž/ã®ã¼ ã£/èªžå°¾/ã£ ã¦/åŠ©è©ž/ã¦ ã„/å‹•è©ž/ã„ ã¾/åŠ©å‹•è©ž/ã¾ ã™/èªžå°¾/ã™ ã€‚/è£œåŠ©è¨˜å·/ã€‚ ja_excite: ä¸ƒé¢é³¥ã®ç¾¤ã‚Œã¯ä¸˜ã®ä¸Šã§é€²ã‚“ã§ã„ã‚‹ã€‚ Um, ah. Two wild turkeys in a field walking around. ja_google: é‡Žç”Ÿã®ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ã€é‡Žç”Ÿã®ä¸ƒé¢é³¥ ja_google_tokens: é‡Žç”Ÿ ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ ã€ é‡Žç”Ÿ ã® ä¸ƒ é¢ é³¥ ja_google_pos: é‡Žç”Ÿ/åè©ž/ã‚„ã›ã„ ã®/åŠ©è©ž/ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦/åè©ž/ã—ã¡ã‚ã‚“ã¡ã‚‡ã† ã€/è£œåŠ©è¨˜å·/ã€ é‡Žç”Ÿ/åè©ž/ã‚„ã›ã„ ã®/åŠ©è©ž/ã® ä¸ƒ/åè©ž/ãªãª é¢/åè©ž/ã‚ã‚“ é³¥/åè©ž/ã¡ã‚‡ã† ja_excite: ã¾ã‚ã‚Šã§ç§»å‹•ã—ã¦ã„ã‚‹ãƒ•ã‚£ãƒ¼ãƒ«ãƒ‰ã®2ç¾½ã®é‡Žç”Ÿã®ä¸ƒé¢é³¥ Four wild turkeys and some bushes trees and weeds. ja_google: 4æœ¬ã®é‡Žç”Ÿã®ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ã¨ã„ãã¤ã‹ã®èŒ‚ã¿ã®æœ¨ã¨é›‘è‰ ja_google_tokens: 4 æœ¬ ã® é‡Žç”Ÿ ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦ ã¨ ã„ã ã¤ ã‹ ã® èŒ‚ã¿ ã® æœ¨ ã¨ é›‘è‰ ja_google_pos: 4/åè©ž/4 æœ¬/æŽ¥å°¾è¾ž/ã»ã‚“ ã®/åŠ©è©ž/ã® é‡Žç”Ÿ/åè©ž/ã‚„ã›ã„ ã®/åŠ©è©ž/ã® ã‚·ãƒãƒ¡ãƒ³ãƒãƒ§ã‚¦/åè©ž/ã—ã¡ã‚ã‚“ã¡ã‚‡ã† ã¨/åŠ©è©ž/ã¨ ã„ã/åè©ž/ã„ã ã¤/æŽ¥å°¾è¾ž/ã¤ ã‹/åŠ©è©ž/ã‹ ã®/åŠ©è©ž/ã® èŒ‚ã¿/åè©ž/ã—ã’ã¿ ã®/åŠ©è©ž/ã® æœ¨/åè©ž/ã ã¨/åŠ©è©ž/ã¨ é›‘è‰/åè©ž/ã–ã£ãã† ja_excite: 4ç¾½ã®é‡Žç”Ÿã®ä¸ƒé¢é³¥ãŠã‚ˆã³ã„ãã¤ã‹ã®ä½Žæœ¨æœ¨ã¨é›‘è‰ A group of turkeys with bushes in the background. ja_google: èƒŒæ™¯ã«èŒ‚ã¿ã‚’æŒã¤ä¸ƒé¢é³¥ã®ç¾¤ ja_google_tokens: èƒŒæ™¯ ã« èŒ‚ã¿ ã‚’ æŒ ã¤ ä¸ƒ é¢ é³¥ ã® ç¾¤ ja_google_pos: èƒŒæ™¯/åè©ž/ã¯ã„ã‘ã„ ã«/åŠ©è©ž/ã« èŒ‚ã¿/åè©ž/ã—ã’ã¿ ã‚’/åŠ©è©ž/ã‚’ æŒ/å‹•è©ž/ã‚‚ ã¤/èªžå°¾/ã¤ ä¸ƒ/åè©ž/ãªãª é¢/åè©ž/ã‚ã‚“ é³¥/åè©ž/ã¡ã‚‡ã† ã®/åŠ©è©ž/ã® ç¾¤/åè©ž/ã‚€ã‚Œ ja_excite: èƒŒæ™¯ã®ä½Žæœ¨ã‚’æŒã¤ä¸ƒé¢é³¥ã®ã‚°ãƒ«ãƒ¼ãƒ—</code></pre>",mds,True,findable,0,0,0,0,0,2020-11-23T13:46:36.000Z,2020-11-23T13:46:37.000Z,cern.zenodo,cern,"MSCOCO,VGS,Speech,Visually Grounded Speech,audio,captions","[{'subject': 'MSCOCO'}, {'subject': 'VGS'}, {'subject': 'Speech'}, {'subject': 'Visually Grounded Speech'}, {'subject': 'audio'}, {'subject': 'captions'}]",,
-10.26302/sshade/experiment_bs_20191230_001,"Near-IR bidirectional reflection spectra (i=0-70Â°/e=0-70Â°/az=180Â°) of Volcanic tuff (50-100 Âµm grains) at 263K, Patm",SSHADE/GhoSST (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",NIR bidirectional reflection spectra (i=0-70Â°/e=0-70Â°/az=180Â°) of Volcanic tuff (2Âµm grains) at 263K and ambient pressure,mds,True,findable,0,0,0,0,0,2019-12-30T09:46:18.000Z,2019-12-30T09:46:19.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,tektosilicate,Anorthite,Albite,Orthoclase,Nepheline,inosilicate,Diopside,nesosilicate,Forsterite,oxide-hydroxide,Hematite,Ilmenite,physically adsorbed phase,adsorbed H2O,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'tektosilicate'}, {'subject': 'Anorthite'}, {'subject': 'Albite'}, {'subject': 'Orthoclase'}, {'subject': 'Nepheline'}, {'subject': 'inosilicate'}, {'subject': 'Diopside'}, {'subject': 'nesosilicate'}, {'subject': 'Forsterite'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hematite'}, {'subject': 'Ilmenite'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed H2O'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.8283641,TURRIS: an open source database and Python tools to compute the fundamental frequency of historic masonry towers,Zenodo,2023,en,Software,"Creative Commons Attribution 3.0 IGO,Open Access","TURRIS (<strong>T</strong>owers feat<strong>UR</strong>es &amp; f<strong>R</strong>equenc<strong>I</strong>es databa<strong>S</strong>e) is a database collecting information of 244 historical masonry towers and information about the associated dynamic identification. Each tower is described by 23 parameters (identification, initial database, reference of the study, building name, country, town, latitude, longitude, height, effective height, shape of the section, regularity of the elevation, width, length, the minimum and maximum wall thickness, its relation with adjacent building, age, bells mass, Young modulus, mass density, Poisson ratio, and any information about the structural state of the tower). Each Operational Modal Analysis survey is described by 8 parameters (fundamental frequency, minimum, maximum, and standard deviation of the fundamental frequencies for long-term analysis, the type of sollicitation, duration of the records, sampling rate, and identification technique). The 244 historical masonry towers are located worldwide (mainly in Europe). The TURRIS database allows studying the relationship between geometrical, material parameters, and fundamental frequency. The database is regularly updated. Data can be transmitted by completing the following form: https://framaforms.org/turris-database-sharing-information-about-features-of-historical-masonry-towers-1692963128. The details of each metadata field of the TURRIS database are given in the following. <strong>Id</strong> : the identifier for each study <strong>database</strong> : the collection from where the study was taken into account <strong>references</strong> : the reference of the scientific study. The reference id maybe used with the associated bibtex file., <strong>building_name</strong> : the name of the historical building <strong>country</strong>, town, latitude, longitude : the four parameters describe the location of the building <strong>input</strong> : type of sollicitation <strong>f0</strong> [Hz] : the measured fundamental frequency <strong>H</strong> [m] : the height of the tower <strong>Heff</strong> [m]: the effective height of the tower computed as the difference between the absolute height of the building and the height of the any adjacent building <strong>shape</strong> : the shape of the tower section (SQ : square, REC : rectangular, CIR : circular) <strong>elevation_regularity</strong> : the regularity of section from bottom to the top <strong>width</strong> [m]: the shorter dimension of the section <strong>length</strong> [m]: the larger dimension of the section <strong>min_wall_thickness</strong> [m]: the minimum thickness of the wall of the tower <strong>max_wall_thickness</strong> [m]: the maximum thickness of the wall of the tower <strong>relation</strong> : the type of connection between the tower and adjacent building (Isolated or bounded) <strong>period</strong> : the age of construction <strong>bells</strong> [kg]: the mass of the bell system <strong>E</strong> [GPa]: the Young modulus <strong>density</strong> [kg.m-3]: the mass density <strong>Poisson_ratio</strong> : the Poisson ratio <strong>duration</strong> [minute]: the duration of the records <strong>sampling_rate</strong> [Hz] : the sampling rate of the records <strong>info</strong> : any information about potential damage or retrofitting actions <strong>OMA_technique</strong> : the technique used to identify modal parameters <strong>min_f0</strong> [Hz]: the minimum measured fundamental frequency measured over time <strong>max_f0</strong> [Hz]: the maximum measured fundamental frequency measured over time <strong>std_f0</strong> [[Hz]: the standard deviation of fundamental frequency measured over time Python scripts have been developped (@MArnaud, @CGcidou) to compute the fundamental frequency using empirical, physics-based formulations and a Ritz-Rayleigh approach. The <strong>TURRIS</strong> database is used as an input. The <strong>TURRIS</strong> database is a product of the <strong>ACROSS</strong> project (ANR-20-CE03â€“0003) founded by the French National Research Agency.",mds,True,findable,0,0,0,1,0,2023-08-25T14:30:15.000Z,2023-08-25T14:30:15.000Z,cern.zenodo,cern,"historical masonry towers,database,form,fundamental frequency,Cultural Heritage","[{'subject': 'historical masonry towers'}, {'subject': 'database'}, {'subject': 'form'}, {'subject': 'fundamental frequency'}, {'subject': 'Cultural Heritage'}]",,
-10.34847/nkl.2c0fj3ai,"Bande-annonce de la production CinÃ©-concert ""La mÃ©canique des roches""",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,fr,Audiovisual,,"C'est une histoire de crÃ©pitements de feux dans la nuit, une histoire d'usines et de corps cassÃ©s, de dÃ©localisations et de filiations. Au dÃ©but du XXe siÃ¨cle, la vallÃ©e de la Romanche se dÃ©veloppa massivement avec la construction de nombreuses centrales Ã©lectriques et d'usines d'Ã©lectromÃ©tallurgie. Les ouvriers venaient de partout pour offrir leur force de travail. Puis, en deux gÃ©nÃ©rations, les fermetures se sont enchaÃ®nÃ©es. Aujourd'hui, le futur de la derniÃ¨re usine est incertain. C'est un rÃ©cit du travail et de la condition ouvriÃ¨re pris entre les falaises abruptes des montagnes, l'histoire d'une jeunesse face Ã  son avenir.
-
-CinÃ©ma-concert. Un film de JÃ©rÃ©mie Lamouroux. Composition & interprÃ©tation musicale de Martin Debisschop. CrÃ©ation co-produite avec l'Heure Bleue, scÃ¨ne rÃ©gionale de Spectacle Vivant, La scÃ¨ne Nationale Image Le lux, la Ville de Grenoble, le dÃ©partement de l'IsÃ¨re, la Commune de Livet-et-Gavet et la communautÃ© de communes de l'Oisans. Mai 2021. 70 min.
-
-Programme : RÃ©gion & DRAC Auvergne-RhÃ´ne-Alpes - Programme ""MÃ©moires du XXe et XXIe siÃ¨cles"". 
-
-Autres liens : 
-
-VidÃ©o disponible sur : 
-https://vimeo.com/683223681
-Enregistrements sonores disponibles sur : 
-https://soundcloud.com/user-145016407/sets/la-mecanique-des-roches""",api,True,findable,0,0,0,0,0,2023-10-03T09:01:13.000Z,2023-10-03T09:01:13.000Z,inist.humanum,jbru,"""MÃ©moires des lieux,histoire orale,histoires de vie,enquÃªtes de terrain (ethnologie),DÃ©sindustrialisation,Patrimoine industriel,Pollution de l'air,Montagnes â€“ amÃ©nagement,Ã‰nergie hydraulique,Rives â€“ amÃ©nagement,Romanche, VallÃ©e de la (France),Keller, Charles Albert (1874-1940 , IngÃ©nieur A&amp;M),patrimoine immatÃ©riel,Conditions de travail,classe ouvriÃ¨re","[{'lang': 'fr', 'subject': '""MÃ©moires des lieux'}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'histoires de vie'}, {'lang': 'fr', 'subject': 'enquÃªtes de terrain (ethnologie)'}, {'lang': 'fr', 'subject': 'DÃ©sindustrialisation'}, {'lang': 'fr', 'subject': 'Patrimoine industriel'}, {'lang': 'fr', 'subject': ""Pollution de l'air""}, {'lang': 'fr', 'subject': 'Montagnes â€“ amÃ©nagement'}, {'lang': 'fr', 'subject': 'Ã‰nergie hydraulique'}, {'lang': 'fr', 'subject': 'Rives â€“ amÃ©nagement'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e de la (France)'}, {'lang': 'fr', 'subject': 'Keller, Charles Albert (1874-1940 , IngÃ©nieur A&amp;M)'}, {'lang': 'fr', 'subject': 'patrimoine immatÃ©riel'}, {'lang': 'fr', 'subject': 'Conditions de travail'}, {'lang': 'fr', 'subject': 'classe ouvriÃ¨re'}]",['19334394 Bytes'],['video/mp4']
-10.17178/ohmcv.lim.cla.12-14.1,"limnimeter network, Gazel and CladuÃ¨gne catchments",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:27.000Z,2017-03-10T17:09:27.000Z,inist.osug,jbru,"Atmospheric conditions,Atmospheric Pressure Measurements,Water Depth,Conductivity,Stage Height,Water Pressure,Water Temperature,Air Temperature,WATER LEVEL GAUGES,CTD &gt; Conductivity, Temperature, Depth,PRESSURE SENSORS,Ground networks","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Atmospheric Pressure Measurements', 'subjectScheme': 'main'}, {'subject': 'Water Depth', 'subjectScheme': 'main'}, {'subject': 'Conductivity', 'subjectScheme': 'main'}, {'subject': 'Stage Height', 'subjectScheme': 'main'}, {'subject': 'Water Pressure', 'subjectScheme': 'main'}, {'subject': 'Water Temperature', 'subjectScheme': 'main'}, {'subject': 'Air Temperature', 'subjectScheme': 'main'}, {'subject': 'WATER LEVEL GAUGES', 'subjectScheme': 'main'}, {'subject': 'CTD &gt; Conductivity, Temperature, Depth', 'subjectScheme': 'main'}, {'subject': 'PRESSURE SENSORS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.5281/zenodo.8348922,cta-observatory/pyirf: v0.10.1 â€“ 2023-09-15,Zenodo,2023,,Software,"MIT License,Open Access",*pyirf* is a python3-based library for the generation of Instrument Response Functions (IRFs) and sensitivities for the Cherenkov Telescope Array (CTA),mds,True,findable,0,0,0,0,0,2023-09-15T12:52:25.000Z,2023-09-15T12:52:25.000Z,cern.zenodo,cern,"gamma-ray astronomy,Imaging Atmospheric Cherenkov Telescope,IACT,CTA,instrument response,irf,python","[{'subject': 'gamma-ray astronomy'}, {'subject': 'Imaging Atmospheric Cherenkov Telescope'}, {'subject': 'IACT'}, {'subject': 'CTA'}, {'subject': 'instrument response'}, {'subject': 'irf'}, {'subject': 'python'}]",,
-10.6084/m9.figshare.c.6804540,Pneumocystis jirovecii pneumonia in intensive care units: a multicenter study by ESGCIP and EFISG,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Pneumocystis jirovecii pneumonia (PJP) is an opportunistic, life-threatening disease commonly affecting immunocompromised patients. The distribution of predisposing diseases or conditions in critically ill patients admitted to intensive care unit (ICU) and subjected to diagnostic work-up for PJP has seldom been explored. Materials and methods The primary objective of the study was to describe the characteristics of ICU patients subjected to diagnostic workup for PJP. The secondary objectives were: (i) to assess demographic and clinical variables associated with PJP; (ii) to assess the performance of Pneumocystis PCR on respiratory specimens and serum BDG for the diagnosis of PJP; (iii) to describe 30-day and 90-day mortality in the study population. Results Overall, 600 patients were included in the study, of whom 115 had presumptive/proven PJP (19.2%). Only 8.8% of ICU patients subjected to diagnostic workup for PJP had HIV infection, whereas hematological malignancy, solid tumor, inflammatory diseases, and solid organ transplants were present in 23.2%, 16.2%, 15.5%, and 10.0% of tested patients, respectively. In multivariable analysis, AIDS (odds ratio [OR] 3.31; 95% confidence interval [CI] 1.13â€“9.64, p = 0.029), non-Hodgkin lymphoma (OR 3.71; 95% CI 1.23â€“11.18, p = 0.020), vasculitis (OR 5.95; 95% CI 1.07â€“33.22, p = 0.042), metastatic solid tumor (OR 4.31; 95% CI 1.76â€“10.53, p = 0.001), and bilateral ground glass on CT scan (OR 2.19; 95% CI 1.01â€“4.78, p = 0.048) were associated with PJP, whereas an inverse association was observed for increasing lymphocyte cell count (OR 0.64; 95% CI 0.42â€“1.00, p = 0.049). For the diagnosis of PJP, higher positive predictive value (PPV) was observed when both respiratory Pneumocystis PCR and serum BDG were positive compared to individual assay positivity (72% for the combination vs. 63% for PCR and 39% for BDG). Cumulative 30-day mortality and 90-day mortality in patients with presumptive/proven PJP were 52% and 67%, respectively. Conclusion PJP in critically ill patients admitted to ICU is nowadays most encountered in non-HIV patients. Serum BDG when used in combination with respiratory Pneumocystis PCR could help improve the certainty of PJP diagnosis.",mds,True,findable,0,0,0,0,0,2023-08-25T03:21:17.000Z,2023-08-25T03:21:17.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy,Mental Health,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",,
-10.26302/sshade/experiment_op_20201209_001,W L3 edge XAS transmission and XAS fluorescence of W reference compounds at 10K,SSHADE/FAME (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",fluorescence,mds,True,findable,0,0,2,0,0,2021-03-03T15:15:26.000Z,2021-03-03T15:15:27.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,None,fluorescence emission,hard X,BN powder,WO3â€¢(H2O),(NH4)6H2W12O40,Na2WO4â€¢2(H2O),Frozen solution of (NH4)6H2W12O40 aqueous solution at 0.1mol/l,Frozen solution of Na2WO4 aqueous solution at 0.1mol/l,solid,commercial,non-oxide ceramic,tungstate,molecular solid solution","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'transmission', 'subjectScheme': 'main'}, {'subject': 'None', 'subjectScheme': 'main'}, {'subject': 'fluorescence emission', 'subjectScheme': 'main'}, {'subject': 'hard X', 'subjectScheme': 'variables'}, {'subject': 'BN powder', 'subjectScheme': 'name'}, {'subject': 'WO3â€¢(H2O)', 'subjectScheme': 'name'}, {'subject': '(NH4)6H2W12O40', 'subjectScheme': 'name'}, {'subject': 'Na2WO4â€¢2(H2O)', 'subjectScheme': 'name'}, {'subject': 'Frozen solution of (NH4)6H2W12O40 aqueous solution at 0.1mol/l', 'subjectScheme': 'name'}, {'subject': 'Frozen solution of Na2WO4 aqueous solution at 0.1mol/l', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'non-oxide ceramic', 'subjectScheme': 'compound type'}, {'subject': 'tungstate', 'subjectScheme': 'compound type'}, {'subject': 'molecular solid solution', 'subjectScheme': 'compound type'}]",['10 spectra'],['ASCII']
-10.5281/zenodo.7025633,A gate-tunable graphene Josephson parametric amplifier,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Data files of the figures (main and supplementary information),mds,True,findable,0,0,0,0,0,2022-08-26T15:03:04.000Z,2022-08-26T15:03:04.000Z,cern.zenodo,cern,,,,
-10.17178/zaa_soil_temp.odyssee,Long term monitoring of near surface soil temperature in the European mountains,UGA â€“ OSUG â€“ CNRS,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in European mountain meadows. Data are collected as part of the ANR project ODYSSEE (Projet-ANR-13-ISV7-0004). Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in Â°C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:41.000Z,2021-07-13T13:43:42.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.6084/m9.figshare.23575387,Additional file 10 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authorsâ€™ original file for figure 9,mds,True,findable,0,0,0,0,0,2023-06-25T03:12:02.000Z,2023-06-25T03:12:03.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['56320 Bytes'],
-10.5281/zenodo.5119079,Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals.,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Supplementary materials to preprint https://arxiv.org/abs/2107.06751.,mds,True,findable,0,0,0,0,0,2021-07-21T12:12:01.000Z,2021-07-21T12:12:02.000Z,cern.zenodo,cern,"AI-generated texts,GPT,Misconduct,Research integrity,Tortured phrase","[{'subject': 'AI-generated texts'}, {'subject': 'GPT'}, {'subject': 'Misconduct'}, {'subject': 'Research integrity'}, {'subject': 'Tortured phrase'}]",,
-10.26302/sshade/experiment_lb_20191211_004,Fe K edge XAS transmission of bulk CI carbonaceous chondrites,SSHADE/GhoSST+FAME (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",raw and normalized Fe K edge XAS transmission of bulk CI carbonaceous chondrites,mds,True,findable,0,0,0,0,0,2019-12-13T13:00:57.000Z,2019-12-13T13:00:58.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,extraterrestrial,carbonaceous chondrite,CI,complex organic-mineral mix,bulk Orgueil IPAG,bulk Ivuna IPAG,laboratory measurement,transmission,None,hard X,raw,normalized absorbance","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CI'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'bulk Orgueil IPAG'}, {'subject': 'bulk Ivuna IPAG'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'raw'}, {'subject': 'normalized absorbance'}]",['4 spectra'],['ASCII']
-10.26302/sshade/experiment_jc_20220615_001,Y K edge XAS transmission and XAS fluorescence of Yttrium components at 20K,SSHADE/FAME (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Determination of the yttrium speciation variability in bauxite residues of various origin, age and storage conditions",mds,True,findable,0,0,2,1,0,2023-11-10T10:53:00.000Z,2023-11-10T10:53:01.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,None,fluorescence emission,hard X,metallic Y,Polyvinylpyrrolidone,Y2O3,Y(OH)3,Y2(CO3)3,Low crystallized xenotime YPO4,Medium crystalized xenotime YPO4,High crystallized xenotime YPO4,Churchite YPO4,Montmorillonite,Y-adsorbed on montmorillonite,Calcite,Y dopant,Low crystalized hydroxyapatite,High crystalized hydroxyapatite,hematite,solid,commercial,laboratory,elemental solid,homopolymer,oxide,hydroxide,carbonate,phosphate,phyllosilicate,chemically adsorbed phase,other complex mix,oxide-hydroxide","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'transmission', 'subjectScheme': 'main'}, {'subject': 'None', 'subjectScheme': 'main'}, {'subject': 'fluorescence emission', 'subjectScheme': 'main'}, {'subject': 'hard X', 'subjectScheme': 'variables'}, {'subject': 'metallic Y', 'subjectScheme': 'name'}, {'subject': 'Polyvinylpyrrolidone', 'subjectScheme': 'name'}, {'subject': 'Y2O3', 'subjectScheme': 'name'}, {'subject': 'Y(OH)3', 'subjectScheme': 'name'}, {'subject': 'Y2(CO3)3', 'subjectScheme': 'name'}, {'subject': 'Low crystallized xenotime YPO4', 'subjectScheme': 'name'}, {'subject': 'Medium crystalized xenotime YPO4', 'subjectScheme': 'name'}, {'subject': 'High crystallized xenotime YPO4', 'subjectScheme': 'name'}, {'subject': 'Churchite YPO4', 'subjectScheme': 'name'}, {'subject': 'Montmorillonite', 'subjectScheme': 'name'}, {'subject': 'Y-adsorbed on montmorillonite', 'subjectScheme': 'name'}, {'subject': 'Calcite', 'subjectScheme': 'name'}, {'subject': 'Y dopant', 'subjectScheme': 'name'}, {'subject': 'Low crystalized hydroxyapatite', 'subjectScheme': 'name'}, {'subject': 'High crystalized hydroxyapatite', 'subjectScheme': 'name'}, {'subject': 'hematite', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'elemental solid', 'subjectScheme': 'compound type'}, {'subject': 'homopolymer', 'subjectScheme': 'compound type'}, {'subject': 'oxide', 'subjectScheme': 'compound type'}, {'subject': 'hydroxide', 'subjectScheme': 'compound type'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'phosphate', 'subjectScheme': 'compound type'}, {'subject': 'phyllosilicate', 'subjectScheme': 'compound type'}, {'subject': 'chemically adsorbed phase', 'subjectScheme': 'compound type'}, {'subject': 'other complex mix', 'subjectScheme': 'compound type'}, {'subject': 'oxide-hydroxide', 'subjectScheme': 'compound type'}]",['13 spectra'],['ASCII']
-10.5281/zenodo.832421,Data Of The Publication: Dispersive Heterodyne Probing Method For Laser Frequency Stabilization Based On Spectral Hole Burning In Rare-Earth Doped Crystals By O. Gobron Et Al.,Zenodo,2017,,Dataset,"Creative Commons Attribution 4.0,Open Access","Data corresponding to the figures of the publication ""Dispersive heterodyne probing method for laser frequency stabilization based on spectral hole burning in rare-earth doped crystals"" by O. Gobron et al. (https://doi.org/10.1364/OE.25.015539). A text file describes data in each compressed folder, please refer to the caption in the publication for more details.",,True,findable,0,0,0,0,0,2017-07-20T07:51:17.000Z,2017-07-20T07:51:17.000Z,cern.zenodo,cern,"rare earth,quantum technologies,nanoqtech,metrology,laser stabilization","[{'subject': 'rare earth'}, {'subject': 'quantum technologies'}, {'subject': 'nanoqtech'}, {'subject': 'metrology'}, {'subject': 'laser stabilization'}]",,
-10.17178/emaa_para-h2s_rotation_f76b8b70,Rotation excitation of para-H2S by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 45 radiative transitions / 171 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K) / 171 collisional transitions for para-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:16.000Z,2023-12-07T15:52:17.000Z,inist.osug,jbru,"target para-H2S,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2S', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.57745/hzdptt,Spin-orbit readout using thin films of topological insulator Sb2Te3 deposited by industrial magnetron sputtering,Recherche Data Gouv,2023,,Dataset,,"Data set of the paper : Spin-orbit readout using thin films of topological insulator Sb2Te3 deposited by industrial magnetron sputtering. This includes Sheet resistance versus temperature, and Hall effect and spin signal with their temperature dependance, measured on SbTe based devices and thin film.",mds,True,findable,66,0,0,0,0,2023-06-20T08:46:44.000Z,2023-07-25T09:15:57.000Z,rdg.prod,rdg,,,,
-10.26302/sshade/experiment_bs_20160831_000,"Vis-NIR spectral bidirectional reflection distribution fonction (SBRDF) of sintered snow (Arselle) and slab ice (3 thicknesses: 1.42, 7.45 and 12.5 mm) on snow at -10Â°C",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR BRDF spectra of sintered snow (from Arselle) [i=0, 20, 30, 40, 50, 60, 65Â°; e=0, 20, 40, 50, 65Â°; az=0, 45, 90, 140, 160, 180Â°], of snow with a thin top slab of ice (3 thicknesses: 1.42, 7.45, 12.5mm) [i=40, 50, 60, 70Â°; e=0, 10, 20Â°; az=0, 45, 90, 140, 160, 180Â°], and of the specular peak of the 12.5mm slab [i=50, e=50Â°$\pm$5Â°; i=65Â°, e=65Â°$\pm$5Â°; az=170-180Â°] - T = -10Â°C",mds,True,findable,0,0,0,0,0,2020-03-17T22:00:36.000Z,2020-03-17T22:00:38.000Z,inist.sshade,mgeg,"natural terrestrial,inorganic molecular solid,natural H2O ice,laboratory,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'natural terrestrial'}, {'subject': 'inorganic molecular solid'}, {'subject': 'natural H2O ice'}, {'subject': 'laboratory'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['19 spectra'],['ASCII']
-10.26302/sshade/experiment_gm_20190905_001,Raman spectra of some oxide-hydroxide minerals,SSHADE/REAP (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,1,0,2021-05-13T07:46:33.000Z,2021-05-13T07:46:35.000Z,inist.sshade,mgeg,"laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,FIR,Far-Infrared,normalized Raman scattering intensity,Corundum,Hematite,Magnetite,Rutile,Anatase,Goethite,Geikielite,Romanechite,Brucite,natural terrestrial,oxide-hydroxide","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'Raman scattering', 'subjectScheme': 'main'}, {'subject': 'microscopy', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'Far-Infrared', 'subjectScheme': 'variables'}, {'subject': 'normalized Raman scattering intensity', 'subjectScheme': 'variables'}, {'subject': 'Corundum', 'subjectScheme': 'name'}, {'subject': 'Hematite', 'subjectScheme': 'name'}, {'subject': 'Magnetite', 'subjectScheme': 'name'}, {'subject': 'Rutile', 'subjectScheme': 'name'}, {'subject': 'Anatase', 'subjectScheme': 'name'}, {'subject': 'Goethite', 'subjectScheme': 'name'}, {'subject': 'Geikielite', 'subjectScheme': 'name'}, {'subject': 'Romanechite', 'subjectScheme': 'name'}, {'subject': 'Brucite', 'subjectScheme': 'name'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'oxide-hydroxide', 'subjectScheme': 'compound type'}]",['9 spectra'],['ASCII']
-10.5281/zenodo.45044,"Moca: An Efficient Memory Trace Collection System, Preliminary Experiments Results Analysis",Zenodo,2016,,Dataset,"Creative Commons Zero - CC0 1.0,Open Access","Every files required to replay the statistic analysis of the preliminary experiments for the artice: ""Moca: An efficient Memory trace collection system"" submitted at HPDC",,True,findable,0,0,0,0,0,2016-01-20T17:02:03.000Z,2016-01-20T17:02:04.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_bs_20191012_400,"Vis-NIR reflectance spectra of Roussillon pigments (PIG_0173_A): raw blocks, powders with different grain sizes and painted matter",SSHADE/PIG (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of Roussillon pigments (PIG_0173_A) as 4 raw blocks and 1 sawn, as powders with several grain sizes (&lt;50Âµm, &lt;160 Âµm, 100-200Âµm, 200-400Âµm, &gt;400Âµm) and several densities, as a polished plot, and a painted matter on limestone",mds,True,findable,0,0,0,0,0,2020-08-28T04:42:51.000Z,2020-08-28T04:42:52.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,carbonate,limestone,tektosilicate,Quartz,phyllosilicate,Kaolinite,oxide-hydroxide,Hematite,Goethite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'carbonate'}, {'subject': 'limestone'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'phyllosilicate'}, {'subject': 'Kaolinite'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hematite'}, {'subject': 'Goethite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['15 spectra'],['ASCII']
-10.5281/zenodo.4763381,[Artifacts] Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach,Zenodo,2021,en,Dataset,Closed Access,"This archive contains the dataset and the code to reproduce the experiments of the publication ""Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach""",mds,True,findable,0,0,0,0,0,2021-05-14T20:17:25.000Z,2021-05-14T20:17:26.000Z,cern.zenodo,cern,"power regulation,HPC,control theory","[{'subject': 'power regulation'}, {'subject': 'HPC'}, {'subject': 'control theory'}]",,
-10.6084/m9.figshare.22655339,Additional file 1 of ICU admission for solid cancer patients treated with immune checkpoint inhibitors,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Table S1. World Health Organization-Uppsala Monitoring Centre (WHO-UMC) causality categories. Table S2. Diagnosis at ICU admission according to proposed IrAE causality at ICU discharge (n = 110 patients).,mds,True,findable,0,0,0,0,0,2023-04-19T03:54:41.000Z,2023-04-19T03:54:42.000Z,figshare.ars,otjm,"Medicine,Pharmacology,Biotechnology,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Immunology,FOS: Clinical medicine,Cancer","[{'subject': 'Medicine'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}]",['16958 Bytes'],
-10.17178/amma-catch.cl.pond_gha,"Surface water dataset (pond water level and turbidity), on the Agoufou pond (250 km2 watershed), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2011,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Monitor the water height level in the Agoufou pond in order to assess the volume of water stored and lost using specific calibration relation based on topographic survey and remote sensing data analysis. Monitor the pond turbidity.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:10.000Z,2018-03-16T15:37:10.000Z,inist.osug,jbru,"Water level, pond, water balance, turbidity, sediment load,Sahelian/Saharan climate,Water Level,Turbidity,Surface Suspended Sediment Concentration","[{'subject': 'Water level, pond, water balance, turbidity, sediment load', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Water Level', 'subjectScheme': 'var'}, {'subject': 'Turbidity', 'subjectScheme': 'var'}, {'subject': 'Surface Suspended Sediment Concentration', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.18709/perscido.2017.03.ds31,LTTng Execution Traces of 10 Phoronix Benchmarks,PerSciDo,2017,en,Dataset,,"This dataset contains the execution traces of 10 Phoronix benchmarks (e.g. compress-gzip, ffmpeg, iozone, network-loopback, phpbench, pybench, ramspeed, scimark2, stream, unpack-linux). The traces concern three different tracing configurations, namely kernel, memory and performance counters. They have been obtained on a standard Linux machine and on the Juno platform. Each configuration has been run 32 times on the Linux machine and 1 time on the Juno board.",fabricaForm,True,findable,0,0,0,0,0,2017-03-20T15:34:38.000Z,2017-03-20T15:34:38.000Z,inist.persyval,vcob,Computer Science,[{'subject': 'Computer Science'}],['100 GB'],
-10.5281/zenodo.6104368,Unique and shared effects of local and catchment predictors over distribution of hyporheic organisms: does the valley rule the stream?,Zenodo,2022,,Software,"MIT License,Open Access","This dataset describe the distribution of two hyporheic crustacean taxa (Bogidiellidae, Amphipoda and Anthuridae, Isopoda) in streams of New Caledonia. We sampled the two taxa at 228 sites. At each site, we quantified nine local predictors related to habitat area and stability, sediment metabolism and water origin, and eight catchment predictors related to geology, area, primary productivity, land use and specific discharge.",mds,True,findable,0,0,0,0,0,2022-02-17T19:47:15.000Z,2022-02-17T19:47:16.000Z,cern.zenodo,cern,"spatial scale,hyporheic zone,subterranean crustaceans,New Caledonia,Bogidiellidae,Amphipoda,Anthuridae,Isopoda,local,catchment","[{'subject': 'spatial scale'}, {'subject': 'hyporheic zone'}, {'subject': 'subterranean crustaceans'}, {'subject': 'New Caledonia'}, {'subject': 'Bogidiellidae'}, {'subject': 'Amphipoda'}, {'subject': 'Anthuridae'}, {'subject': 'Isopoda'}, {'subject': 'local'}, {'subject': 'catchment'}]",,
-10.25647/liepp.pb.11,"Les effets de la rÃ©glementation du cumul des mandats de 2001 : enseignements pour la nouvelle loi de 2014 (Policy Brief, nÂ°11)",Sciences Po - LIEPP,2014,fr,Other,,"Le texte Ã©value les consÃ©quences du changement de la rÃ©glementation franÃ§aise de 2001en ce qui concerne le cumul des mandats, qui a limitÃ© la possibilitÃ© de tenir simultanÃ©ment plusieurs mandats Ã©lectifs. La comparaison avant et aprÃ¨s la mise en Å“uvre de la nouvelle loi permet de conclure que (i) les candidats aux Ã©lections lÃ©gislatives se sont adaptÃ©s aux nouvelles rÃ¨gles en rÃ©duisant les mandats locaux dÃ©tenus; (ii) les candidats ont Ã©galement montrÃ© une tendance Ã  changer la nature des mandats exercÃ©s. Ces rÃ©sultats mettent en lumiÃ¨re les modalitÃ©s d'application de la loi qui lui donneront toute son efficacitÃ©.",fabricaForm,True,findable,0,0,0,0,0,2022-01-04T15:00:53.000Z,2022-01-05T13:25:39.000Z,vqpf.dris,vqpf,FOS: Social sciences,"[{'subject': 'FOS: Social sciences', 'valueUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'schemeUri': 'http://www.oecd.org/science/inno', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5281/zenodo.1476113,Confocal Fluorescence Microscopy Images Of The Lacuno-Canalicular Network In Bone Femoral Diaphysis Of Mice From The Bionm1 Project (Space Flight),Zenodo,2018,,Dataset,"Creative Commons Attribution 4.0,Open Access","This data set provides complementary measurements to a separate THG data set of the same study: doi: 10.5281/zenodo.1475906
-
-Data set for 1 sample of each of the 3 groups: Control, Space Flight and Synchro (ground control with space flight housing and feeding conditions). Contains confocal fluorescence microscopy images in tif format of 2D mosaic of selected samples and 3D stacks in selected anatomical regions of interest. See readme file for more information.",mds,True,findable,2,0,0,0,0,2018-10-31T17:59:18.000Z,2018-10-31T17:59:19.000Z,cern.zenodo,cern,"Confocal microscopy, fluorescence, bone, osteocyte, LCN, lacunae, canaliculi, space flight","[{'subject': 'Confocal microscopy, fluorescence, bone, osteocyte, LCN, lacunae, canaliculi, space flight'}]",,
-10.26302/sshade/experiment_cl_20181127_01,Ion irradiation ($He^+$) of an Alais meteorite pellet probed by Vis-NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR spectra of Alais meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T10:51:47.000Z,2022-05-27T10:51:48.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CI,complex organic-mineral mix,matrix Alais,complex mineral mix,chondrules Alais,CAIs Alais,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CI'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Alais'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Alais'}, {'subject': 'CAIs Alais'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.26302/sshade/experiment_bs_20121213_002,"Near-IR bidirectional reflection spectra (i=0Â°, e=30Â°) of Smectite SWy-2 for different grain sizes at 298K in ambient air",SSHADE/GhoSST (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-28T10:25:12.000Z,2019-12-28T10:25:13.000Z,inist.sshade,mgeg,"solid,natural terrestrial,phyllosilicate,Na-Montmorillonite,physically adsorbed phase,Adsorbed water,interlayer phase,Interlayer water,tektosilicate,Quartz,Plagioclase,sulfate,Gypsum,carbonate,Calcite,Dolomite,Kaolinite,Chlorites,inosilicate,Clinopyroxenes,Orthopyroxenes,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-Montmorillonite'}, {'subject': 'physically adsorbed phase'}, {'subject': 'Adsorbed water'}, {'subject': 'interlayer phase'}, {'subject': 'Interlayer water'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'Plagioclase'}, {'subject': 'sulfate'}, {'subject': 'Gypsum'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'Dolomite'}, {'subject': 'Kaolinite'}, {'subject': 'Chlorites'}, {'subject': 'inosilicate'}, {'subject': 'Clinopyroxenes'}, {'subject': 'Orthopyroxenes'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['6 spectra'],['ASCII']
-10.26302/sshade/experiment_bs_20130114_001,"Vis/Near-IR absorption coefficients spectra of liquid CH4, solid CH4-II and CH4-I from 93 to 20 K",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis/Near-IR absorption coefficients spectra of liquid $CH_4$ at 93 K , solid $CH_4$-II from 90 K to 20 K, every 10 K, and solid $CH_4$-I at 20K",mds,True,findable,0,0,0,0,0,2019-11-02T08:47:56.000Z,2019-11-02T08:47:57.000Z,inist.sshade,mgeg,"laboratory,liquid,CH4 liquid,organic molecular solid,CH4 crystalline - phase I,CH4 crystalline - phase II,laboratory measurement,transmission,macroscopic,Vis,Visible,NIR,Near-Infrared,absorption coefficient","[{'subject': 'laboratory'}, {'subject': 'liquid'}, {'subject': 'CH4 liquid'}, {'subject': 'organic molecular solid'}, {'subject': 'CH4 crystalline - phase I'}, {'subject': 'CH4 crystalline - phase II'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'absorption coefficient'}]",['9 spectra'],['ASCII']
-10.5061/dryad.4n5929c,Data from: A quantitative proteomic analysis of cofilin phosphorylation in myeloid cells and its modulation using the LIM kinase inhibitor Pyr1,Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"LIM kinases are located at a strategic crossroad, downstream of several signaling pathways and upstream of effectors such as microtubules and the actin cytoskeleton. Cofilin is the only LIM kinases substrate that is well described to date, and its phosphorylation on serine 3 by LIM kinases controls cofilin actin-severing activity. Consequently, LIM kinases inhibition leads to actin cytoskeleton disorganization and blockade of cell motility, which makes this strategy attractive in anticancer treatments. LIMK has also been reported to be involved in pathways that are deregulated in hematologic malignancies, with little information regarding cofilin phosphorylation status. We have used proteomic approaches to investigate quantitatively and in detail the phosphorylation status of cofilin in myeloid tumor cell lines of murine and human origin. Our results show that under standard conditions, only a small fraction (10 to 30% depending on the cell line) of cofilin is phosphorylated (including serine 3 phosphorylation). In addition, after a pharmacological inhibition of LIM kinases, a residual cofilin phosphorylation is observed on serine 3. Interestingly, this 2D gel based proteomic study identified new phosphorylation sites on cofilin, such as threonine 63, tyrosine 82 and serine 108.",mds,True,findable,392,39,1,1,0,2018-12-12T16:55:02.000Z,2018-12-12T16:55:03.000Z,dryad.dryad,dryad,"Lim kinases,Leukemia,Mus musculus,cofilin,Proteomics,Homo Sapiens,Phosphorylation","[{'subject': 'Lim kinases'}, {'subject': 'Leukemia', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Mus musculus'}, {'subject': 'cofilin'}, {'subject': 'Proteomics', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Homo Sapiens'}, {'subject': 'Phosphorylation', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['130700552 bytes'],
-10.26302/sshade/experiment_ak_20141105_1,Mid-infrared attenuated total reflectance experiment with Na+ exchanged less 1 Î¼m size fraction of beidellite (SbCa-1) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-09T05:11:13.000Z,2019-12-09T05:11:14.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Na-exchanged beidellite SbCa-1 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-exchanged beidellite SbCa-1 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['4 spectra'],['ASCII']
-10.17178/emaa_co_rotation_3d0e1a5c,"Rotation excitation of CO by CO, ortho-H2, ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",14 rotation energy levels / 13 radiative transitions / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K) / 91 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 91 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 55 collisional transitions for CO (15 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:46.000Z,2023-12-07T15:50:47.000Z,inist.osug,jbru,"target CO,excitationType Rotation,collisional excitation,collider.0 para-H2O,collider.1 ortho-H2O,collider.2 para-H2,collider.3 ortho-H2,collider.4 CO,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.4 CO', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.5217997,Raw data : Observation of two-mode squeezing in a traveling wave parametric amplifier,Zenodo,2021,en,Dataset,"MIT License,Open Access","The raw data used to generate figures presented in the articles is available as qcodes datasets. Fig 2<br> The 100 million quadrature points used to construct statistics in figure 2 are stored at 10 datasets with ids 1 to 10, each containing 10 million points. The data was split in multiple databases to ease storage and processing. Fig 3<br> The pump phase sweep in figure 2 was recorded at 25 points from 0 to pi. Each sweep step is stored as a dataset in the database starting from run id 11 to 35, corresponding to 0 to pi in order. Fig 4<br> The quadratures recorded at delta values 20, 50, 100, 150 and 200 are stored with run id 36 to 40, respectively. Fig SNTJ gain calibration<br> The noise spectrum as a function of voltage applied to SNTJ is stored for frequencies corresponding to the delta values 20, 50, 100, 150 and 200, from run id 41 to 45, respectively.",mds,True,findable,0,0,0,0,0,2021-11-08T19:02:16.000Z,2021-11-08T19:02:18.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10441454,Maps of the diversity and distribution of RaunkiÃ¦r's life forms in European vegetation,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"This repository contains raster files (TIF format) with a 50 km Ã— 50 km resolution (over UTM grid EPSG:32633), showcasing the diversity and distribution of RaunkiÃ¦râ€™s life forms in European vegetation. The maps are based on two key metrics: (i) the proportion (%) of species within each life form and (ii) the diversity of life forms, including richness and evenness.
-
-To generate these maps, we averaged plot-level metric values across a comprehensive dataset comprising 546,501 vegetation plots sourced from the European Vegetation Archive (EVA; Project 163;Â https://euroveg.org). These plots cover diverse habitats, including 173,190 forests, 260,884 grasslands, 52,517 scrubs, and 59,910 wetlands.
-
-The maps encompass the entire dataset, offering a visualization of the geographical distribution patterns of life forms across Europe. Additionally, we created habitat-specific maps by subsetting the dataset to explore unique patterns within each habitat type (forest, grassland, scrub, and wetland).
-
-Furthermore, we generated additional maps based on standardised effect sizes (SES) of diversity metrics. Through 500 species identity shuffles without replacement, specific to each habitat type, we examined the deviations from random expectations. SES values outside the range of -1.96 to 1.96 indicate significantly lower or higher metric values than expected at random, respectively.Â 
-
-Â 
-
-
-
-
-Folder name
-Description of TIF raster values
-
-
-full.div
-Mean richness and evenness of life forms across all habitat types
-
-
-full.mean.rel.prop
-Mean proportion of each life form across all habitat types
-
-
-habitat.div
-Mean richness and evenness of life forms across separate habitat types (forest, grassland, scrub, and wetland)
-
-
-habitat.mean.rel.prop
-Mean proportion of each life form across separate habitat types (forest, grassland, scrub, and wetland)
-
-
-SES.full.div
-Mean richness and evenness of life forms across all habitat types measured with standardized effect sizes (SES)
-
-
-SES.full.mean.rel.prop
-Mean proportion of each life form across all habitat types measured with standardized effect sizes (SES)
-
-
-SES.habitat.div
-Mean richness and evenness of life forms across separate habitat types (forest, grassland, scrub, and wetland) measured with standardized effect sizes (SES)
-
-
-SES.habitat.mean.rel.prop
-Mean proportion of each life form across separate habitat types (forest, grassland, scrub, and wetland) measured with standardized effect sizes (SES)
-
-
-
-
-Additional information is available in our publication:Midolo, G., AxmanovÃ¡, I., DivÃÅ¡ek, J., DÅ™evojan, P., LososovÃ¡, Z., VeÄeÅ™a, M., Karger, D. N., Thuiller, W., Bruelheide, H., AÄ‡iÄ‡, S., Attorre, F., Biurrun, I., Boch, S., Bonari, G., ÄŒarni, A., Chiarucci, A., Ä†uÅ¡terevska, R., Dengler, J., Dziuba, T., Garbolino, E., Jandt, U., Lenoir, J., MarcenÃ², C., RÅ«siÅ†a, S., Å ibÃk, J., Å kvorc, Å½., StanÄiÄ‡, Z., StaniÅ¡iÄ‡-VujaÄiÄ‡, M., Svenning, J. C., Swacha, G., Vassilev, K., & ChytrÃ½, M. (2024) Diversity and distribution of RaunkiÃ¦râ€™s life forms in European vegetation. Journal of Vegetation Science. Accepted on the 10th of December 2023",api,True,findable,0,0,0,0,0,2023-12-29T13:53:18.000Z,2023-12-29T13:53:19.000Z,cern.zenodo,cern,"annual plant,growth form,plant functional trait,plant lifespan,species richness,tree,shrub,therophyte,phanerophyte,geophyte,hydrophyte,hemicryptophyte,chamaephyte,plant evenness,plant species richness","[{'subject': 'annual plant'}, {'subject': 'growth form'}, {'subject': 'plant functional trait'}, {'subject': 'plant lifespan'}, {'subject': 'species richness'}, {'subject': 'tree'}, {'subject': 'shrub'}, {'subject': 'therophyte'}, {'subject': 'phanerophyte'}, {'subject': 'geophyte'}, {'subject': 'hydrophyte'}, {'subject': 'hemicryptophyte'}, {'subject': 'chamaephyte'}, {'subject': 'plant evenness'}, {'subject': 'plant species richness'}]",,
-10.26302/sshade/experiment_ak_20141208_1,Mid-infrared attenuated total reflectance experiment with K+ exchanged less 0.1 Î¼m size fraction of montmorillonite (SWy-2) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:23:31.000Z,2022-11-04T08:23:31.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Na-exchanged montmorillonite SWy-2 size-fraction &lt;0.1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-exchanged montmorillonite SWy-2 size-fraction &lt;0.1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['5 spectra'],['ASCII']
-10.5281/zenodo.6787572,2D honeycomb transformation into dodecagonal quasicrystals driven by electrostatic forces,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the SXRD data measured for the 48-18-6 approximant in Sr-Ti-O on Pt(111). The data has been acquired at the SixS beamline of the Synchrotron SOLEIL in France on 19.09.2019. Monochromatic x-rays with photon energy of 11 keV were used to avoid Pt fluorescence (at 11.1 and 13 keV) and consequently reduced the background signal. The diffraction experiment was performed under grazing incidence at an angle of 0.2 Â°. The orientation matrix was defined relative to the Pt substrate lattice with its lattice constants of a = 392 pm. Additionally, the 3D voxel map generated from the raw data for further use in the binoculars software is provided as well as the input and output of SHELXL, which has been used for structure relaxation.",mds,True,findable,0,0,0,0,0,2022-07-22T09:10:33.000Z,2022-07-22T09:10:34.000Z,cern.zenodo,cern,"Oxide quasicrystals, 2D ternary oxide, quasicrystal approximant, SXRD","[{'subject': 'Oxide quasicrystals, 2D ternary oxide, quasicrystal approximant, SXRD'}]",,
-10.5281/zenodo.5835995,Ultrafast imaging recordings from the axon initial segment of neocortical layer-5 pyramidal neurons.,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains imaging and whole-cell electrophysiological recordings from neocortical layer-5 pyramidal neuron from brain slices of the mouse. Electrophysiological recordings (at 20 kHz) are from the soma. Imaging data (10 kHz) are from lines along the axon initial segment (distal&gt;proximal) with 500 nm pixel resolution. These correspond to: Sodium imaging (Figures 1 and S6). Voltage imaging (Figures 2,4,5,S4,S7) Calcium imaging (Figures 3,S3,S8). This dataset is used in the paper available online: Filipis L, BlÃ¶mer LA, Montnach J, De Waard M, Canepari M. Nav1.2 and BK channels interaction shapes the action potential in the axon initial segment. bioRxiv, 2022. doi: 10.1101/2022.04.12.488116.",mds,True,findable,0,0,0,0,0,2022-10-20T13:43:28.000Z,2022-10-20T13:43:29.000Z,cern.zenodo,cern,"Nav1.2 channel,BK Ca2+-activated K+ channel,axon initial segment,action potential,neocortical layer-5 pyramidal neuron,calcium","[{'subject': 'Nav1.2 channel'}, {'subject': 'BK Ca2+-activated K+ channel'}, {'subject': 'axon initial segment'}, {'subject': 'action potential'}, {'subject': 'neocortical layer-5 pyramidal neuron'}, {'subject': 'calcium'}]",,
-10.6084/m9.figshare.21430977,Additional file 3 of Digitally-supported patient-centered asynchronous outpatient follow-up in rheumatoid arthritis - an explorative qualitative study,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 3,mds,True,findable,0,0,0,0,0,2022-10-29T03:17:16.000Z,2022-10-29T03:17:16.000Z,figshare.ars,otjm,"Medicine,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['493283 Bytes'],
-10.5281/zenodo.4883250,"Search Queries for ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" v5.0.2",Zenodo,2020,,Software,"Creative Commons Attribution 4.0 International,Open Access","<strong>This package contains machine readable (xml) search queries, for the Scopus publication database, to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs).</strong> <strong>[ SDG QUERIES PAGES ] [ PROJECT WEBSITE ] [ FORK ON GITHUB ]</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as <em>proof of practice</em>.) The initiative started from the Aurora Universities Network in 2017, in the working group ""Societal Impact and Relevance of Research"", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's). The classification model we have used are 17 different search queries on the Scopus database. The search queries are elegant constructions with keyword combinations and boolean operators, in the syntax specific to the Scopus Query Language. We have used Scopus because it covers more research area's that are relevant to the SDG's, and we could filter much easier the Aurora Institutions. <strong>Versions</strong> Different versions of the search queries have been made over the past years to improve the precision (soundness) and recall (completeness) of the results. The queries have been made in a team effort by several bibliometric experts from the Aurora Universities. Each one did two or 3 SDG's, and than reviewed each other's work. v1.0 January 2018<em> Initial 'strict' version.</em> In this version only the terms were used that appear in the SDG policy text of the targets and indicators defined by the UN. At this point we have been aware of the SDSN Compiled list of keywords, and used them as inspiration. Rule of thumb was to use <em>keyword-combination searches</em> as much as possible rather than <em>single-keyword searches</em>, to be more precise rather than to yield large amounts of false positive papers. Also we did not use the inverse or 'NOT' operator, to prevent removing true positives from the result set. This version has not been reviewed by peers. Download from: GitHub / Zenodo v2.0 March 2018<em> Reviewed 'strict' version.</em> Same as version 1, but now reviewed by peers. Download from: GitHub / Zenodo v3.0 May 2019 <em>'echo chamber' version.</em> We noticed that using strictly the terms that policy makers of the UN use in the targets and indicators, that much of the research that did not use that specific terms was left out in the result set. (eg. ""mortality"" vs ""deaths"") To increase the recall, without reducing precision of the papers in the results, we added keywords that were obvious synonyms and antonyms to the existing 'strict' keywords. This was done based on the keywords that appeared in papers in the result set of version 2. This creates an 'echo chamber', that results in more of the same papers. Download from: GitHub / Zenodo v4.0 August 2019<em> uniform 'split' version.</em> Over the course of the years, the UN changed and added Targets and indicators. In order to keep track of if we missed a target, we have split the queries to match the targets within the goals. This gives much more control in maintenance of the queries. Also in this version the use of brackets, quotation marks, etc. has been made uniform, so it also works with API's, and not only with GUI's. His version has been used to evaluate using a survey, to get baseline measurements for the precision and recall. Published here: Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. Download from: GitHub / Zenodo v5.0 June 2020 <em>'improved' version.</em> In order to better reflect academic representation of research output that relate to the SDG's, we have added more keyword combinations to the queries to increase the recall, to yield more research papers related to the SDG's, using academic terminology. We mainly used the input from the Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. We ran several text analyses: Frequent term combination in title and abstracts from Suggested papers, and in selected (accepted) papers, suggested journals, etc.found in this data set Spielberg, Eike, &amp; Hasse, Linda. (2020). Text Analyses of Survey Data on ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" (Version 1.0) [Data set]. Zenodo http://doi.org/10.5281/zenodo.3832090 . Secondly we got inspiration out of the Elsevier SDG queries Jayabalasingham, Bamini; Boverhof, Roy; Agnew, Kevin; Klein, Lisette (2019), â€œIdentifying research supporting the United Nations Sustainable Development Goalsâ€, Mendeley Data, v1 https://dx.doi.org/10.17632/87txkw7khs.1. And thirdly we got inspiration from this controlled vocabulary containing closely related terms. Duran-Silva, Nicolau, Fuster, Enric, Massucci, Francesco Alessandro, &amp; QuinquillÃ , Arnau. (2019). <em>A controlled vocabulary defining the semantic perimeter of Sustainable Development Goals</em> (Version 1.2) [Data set]. Zenodo. doi.org/10.5281/zenodo.3567769 Download from: GitHub / Zenodo <strong>Contribute and improve the SDG Search Queries</strong> We welcome you to join the Github community and to fork, improve and make a pull request to add your improvements to the new version of the SDG queries. <strong>https://aurora-network-global.github.io/sdg-queries/</strong>",mds,True,findable,0,0,2,5,0,2021-05-31T13:11:12.000Z,2021-05-31T13:11:13.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Classification model,Search Queries,SCOPUS,Text indexing,Controlled vocabulary,http://metadata.un.org/sdg/","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Classification model'}, {'subject': 'Search Queries'}, {'subject': 'SCOPUS'}, {'subject': 'Text indexing'}, {'subject': 'Controlled vocabulary'}, {'subject': 'http://metadata.un.org/sdg/', 'subjectScheme': 'url'}]",,
-10.5061/dryad.jwstqjqbr,Data from: Above- and belowground drivers of intraspecific trait variability across subcontinental gradients for five ubiquitous forest plants in North America,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Intraspecific trait variability (ITV) provides the material for species adaptation to environmental changes. To advance our understanding of how ITV can contribute to species adaptation to a wide range of environmental conditions, we studied five widespread understory forest species exposed to both continental-scale climate gradients, and local soil and disturbance gradients. We investigated the environmental drivers of between-site leaf and root trait variation, and tested whether higher between-site ITV was associated with increased trait sensitivity to environmental variation (i.e. environmental fit). We measured morphological (specific leaf area: SLA, specific root length: SRL) and chemical traits (Leaf and Root N, P, K, Mg, Ca) of five forest understory vascular plant species at 78 sites across Canada. A total of 261 species-by-site combinations spanning ~4300 km were sampled, capturing important abiotic and biotic environmental gradients (neighbourhood composition, canopy structure, soil conditions, climate). We used multivariate and univariate linear mixed models to identify drivers of ITV and test the association of between-site ITV with environmental fit. Between-site ITV of leaf traits was primarily driven by canopy structure and climate. Comparatively, environmental drivers explained only a small proportion of variability in root traits: these relationships were trait-specific and included soil conditions (Root P), canopy structure (Root N) and neighbourhood composition (SRL, Root K). Between-site ITV was associated with increased environmental fit only for a minority of traits, primarily in response to climate (SLA, Leaf N, SRL). Synthesis. By studying how ITV is structured along environmental gradients among species adapted to a wide range of conditions, we can begin to understand how individual species might respond to environmental change. Our results show that generalizable trait-environment relationships occur primarily aboveground and only accounted for a small proportion of variability. For our group of species with broad ecological niches, variability in traits was only rarely associated with higher environmental fit, and primarily along climatic gradients. These results point to promising research avenues on the various ways in which trait variation can affect species performance along different environmental gradients.",mds,True,findable,125,9,0,1,0,2022-04-18T18:16:17.000Z,2022-04-18T18:16:18.000Z,dryad.dryad,dryad,"environmental matching,Plant nutrient concentration,specific leaf area (SLA),specific root length (SRL),functional ecology,edaphic conditions,canopy structure,biotic interaction,Understory plants,Aralia nudicaulis,Cornus canadensis,Maianthemum canadense,Trientalis borealis,Vaccinium angustifolium,FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'environmental matching'}, {'subject': 'Plant nutrient concentration'}, {'subject': 'specific leaf area (SLA)'}, {'subject': 'specific root length (SRL)'}, {'subject': 'functional ecology'}, {'subject': 'edaphic conditions'}, {'subject': 'canopy structure'}, {'subject': 'biotic interaction'}, {'subject': 'Understory plants'}, {'subject': 'Aralia nudicaulis'}, {'subject': 'Cornus canadensis'}, {'subject': 'Maianthemum canadense'}, {'subject': 'Trientalis borealis'}, {'subject': 'Vaccinium angustifolium'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['784242 bytes'],
-10.26302/sshade/experiment_ak_20141118_1,Mid-infrared attenuated total reflectance experiment with Mg+ exchanged less 1 Î¼m size fraction of nontronite (SWa-1) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:21:26.000Z,2022-11-04T08:21:27.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Mg-exchanged smectite SWa-1 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Mg-exchanged smectite SWa-1 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['5 spectra'],['ASCII']
-10.26302/sshade/experiment_ab_20220628_001,"Se K edge XAS HERFD of references to determine selenium speciation in seleniferous soil of Punjab, India",SSHADE/FAME (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-09-29T07:09:52.000Z,2022-09-29T07:09:53.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,selenite,Na2SeO3,elemental solid,Se powder,selenide,ZnSe,inorganic molecular solid,Methane seleninic acid (MSA),Se-(methyl) seleno cysteine (SeMeCys),organic molecular solid,Seleno DL-methionine (SeMet),Seleno L-cystine (SeCys2),laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'selenite'}, {'subject': 'Na2SeO3'}, {'subject': 'elemental solid'}, {'subject': 'Se powder'}, {'subject': 'selenide'}, {'subject': 'ZnSe'}, {'subject': 'inorganic molecular solid'}, {'subject': 'Methane seleninic acid (MSA)'}, {'subject': 'Se-(methyl) seleno cysteine (SeMeCys)'}, {'subject': 'organic molecular solid'}, {'subject': 'Seleno DL-methionine (SeMet)'}, {'subject': 'Seleno L-cystine (SeCys2)'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['7 spectra'],['ASCII']
-10.5281/zenodo.5243248,Malagasy DBnary archive in original Lemon format,Zenodo,2021,mg,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Malagasy language edition, ranging from 2nd June 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T10:49:23.000Z,2021-08-24T10:49:23.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.6084/m9.figshare.23822163,Dataset key for the main experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,Key for the dataset for the main experiment,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:29.000Z,2023-08-02T11:18:29.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['1240 Bytes'],
-10.17178/amma-catch.pa.h2oflux_snnr,"Surface flux dataset (including meteorological data, surface energy, water vapor, and carbon fluxes) in the Niakhar site (Ragola station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sahel. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:45.000Z,2021-11-15T12:53:46.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian climate,Wind Speed,Sensible Heat Flux,Carbon Dioxide Flux,Latent Heat Flux,Wind Direction","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Flux', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.10400476,Supplementary Data to journal publication on 'The Foundations of the Patagonian Icefields',Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,Partitioning and comparison of ice discharge estimates from the the Patagonian Icefields comprising associated uncertainties. For further details please refer to the notes in the individual files and/or consult the associated publication entitled 'The Foundations of the Patagonian Icefields' published in Communications Earth & Environment.,api,True,findable,0,0,0,0,0,2023-12-18T09:11:12.000Z,2023-12-18T09:11:13.000Z,cern.zenodo,cern,"Patagonia,icefield,discharge,thickness","[{'subject': 'Patagonia'}, {'subject': 'icefield'}, {'subject': 'discharge'}, {'subject': 'thickness'}]",,
-10.26302/sshade/experiment_bs_20201114_014,"Near-infrared reflectance spectra at low temperature (300-90K) of Ammonium bicarbonate [(NH4)HCO3] powders with three grain size ranges (32-80, 80-125 and 125-150Âµm)",SSHADE/CSS (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Near-infrared reflectance spectra at low temperature (290-90K) of Ammonium bicarbonate powder [(NH4)HCO3] with 32-80 Âµm grain size and at room temperature (300K) with 80-125Âµm and 125-150Âµm grain sizes,mds,True,findable,0,0,0,0,0,2022-04-23T08:15:10.000Z,2022-04-23T08:15:10.000Z,inist.sshade,mgeg,"commercial,carbonate,Ammonium bicarbonate,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'commercial'}, {'subject': 'carbonate'}, {'subject': 'Ammonium bicarbonate'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['17 spectra'],['ASCII']
-10.5061/dryad.fbg79cnx2,"Past, present and future of chamois science",Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"The chamois Rupicapra spp. is the most abundant mountain ungulate of Europe and the Near East, where it occurs as two species, the Northern chamois R. rupicapra and the Southern chamois R. pyrenaica. Here, we provide a state-of-the-art overview of research trends and the most challenging issues in chamois research and conservation, focusing on taxonomy and systematics, genetics, life history, ecology and behavior, physiology and disease, management, and conservation. Research on Rupicapra has a longstanding history and has contributed substantially to the biological and ecological knowledge of mountain ungulates. Although the number of publications on this genus has markedly increased over the past two decades, major differences persist with respect to knowledge of species and subspecies, with research mostly focusing on the Alpine chamois R. r. rupicapra and, to a lesser extent, the Pyrenean chamois R. p. pyrenaica. In addition, a scarcity of replicate studies of populations of different subspecies and/or geographic areas limits the advancement of chamois science. Since environmental heterogeneity impacts behavioral, physiological and life history traits, understanding the underlying processes would be of great value from both an evolutionary and conservation/management standpoint, especially in the light of ongoing climatic change. Substantial contributions to this challenge may derive from a quantitative assessment of reproductive success, investigation of fine-scale foraging patterns, and a mechanistic understanding of disease outbreak and resilience. Improving conservation status, resolving taxonomic disputes, identifying subspecies hybridization, assessing the impact of hunting and establishing reliable methods of abundance estimation are of primary concern. Despite being one of the most well-known mountain ungulates, substantial field efforts to collect paleontological, behavioral, ecological, morphological, physiological and genetic data on different populations and subspecies are still needed to ensure a successful future for chamois conservation and research.",mds,True,findable,98,3,0,1,0,2022-05-26T14:27:11.000Z,2022-05-26T14:27:12.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1890 bytes'],
-10.5281/zenodo.5654628,PACT-1D model version including polar halogen emissions - output files,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",This dataset includes all output files created from the PACT-1D model (v1.0) developed with Arctic chlorine and bromine emission parameterizations. The PACT-1D source code used to create these output files is available at: https://doi.org/10.5281/zenodo.5654589.,mds,True,findable,0,0,0,0,0,2021-11-08T14:46:31.000Z,2021-11-08T14:46:32.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3606387,Poleless Exploration with Melomaniac Myopic Chameleon Robots: The Animations,Zenodo,2020,,Software,"Creative Commons Attribution 4.0 International,Open Access",Animations of two infinite grid exploration algorithms by robots without chirality. The published HTML pages allow the viewer to see the first 100 rounds of each algorithm.,mds,True,findable,0,0,0,0,0,2020-01-13T13:44:01.000Z,2020-01-13T13:44:01.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10679303,Dataset acquired during the drainage of Bossons lake in summer 2023,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"All given time are UTC.Â 
-
-This dataset contains:
-
-
-
-Surverse_long_Zlac_15MN.csvÂ : lac level from piezometer since 1st june 2023 every 15 mn,Â 
-
-Bosson_2023_Halfh.dat : data from piezometers P2 et P3 and thermistances T1 to T6,
-
-data_Tw_chenal_entrance.csv : water temperature at the entrance of chanel,Â 
-
-GPS_LacLevel.csvÂ : GNSS measurements of lac elevation,
-
-elevation_chenal_entrance.csv : GNSS mesurements of the altitude of the chanel entrance,
-
-chenal_Bossons_date.csv : GNNS measurements of the chanel ice bottom at different dates (31 July 13h30 et 16h50, 1st August 12h30 and 14h30, 2 August 9h00 et 11h50 et 8 August 2023 12h00)
-
-section_chenal_date.csv : measurements of the ice chanel transverse section the 1st August at 8h30 and 13h,
-
-discharge_icechenal.csv : measurements of water discharge in the ice chanel the 31st July, 1st and 2nd August 2023,
-
-discharge_crosette_2023.csv : measurements of water discharge in the Crosette stream the 1st June and 5 July 2023,
-
-Hypsometry_2023-06-26.dat : hypsometry from the bathymetry of 26 June 2023,
-
-PureEmpirical_SeismicReconstructedDischarge.csv : water discharge entering the lake from the pure empirical method using sismic data,
-
-SemiEmpirical_SeismicReconstructedDischarge.csv :Â water discharge entering the lake from the semi-empirical method using sismic data,
-
-model_output_surverse_10MN.csvÂ : output from the model for the reference simulation.Â ",api,True,findable,0,0,0,0,1,2024-02-19T13:30:04.000Z,2024-02-19T13:30:04.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_bs_20121218_001,simulated NIR bidirectional reflection spectra (i=0-70Â°/e=0-70Â°/az=180Â°) of Na-Montmorillonite SWy-1 (20 Âµm grains) at 293K,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",simulated NIR bidirectional reflection spectra (i=0-70Â°/e=0-70Â°/az=180Â°) of Na-Montmorillonite SWy-1 (20Âµm grains) at 293K,mds,True,findable,0,0,0,0,0,2019-12-29T08:49:25.000Z,2019-12-29T08:49:26.000Z,inist.sshade,mgeg,"simulated,phyllosilicate,Na-Montmorillonite,physically adsorbed phase,Adsorbed water,interlayer phase,Interlayer water,tektosilicate,Quartz,Plagioclase,sulfate,Gypsum,carbonate,Calcite,Dolomite,Kaolinite,Chlorites,inosilicate,Clinopyroxenes,Orthopyroxenes,numerical modeling,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'simulated'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-Montmorillonite'}, {'subject': 'physically adsorbed phase'}, {'subject': 'Adsorbed water'}, {'subject': 'interlayer phase'}, {'subject': 'Interlayer water'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'Plagioclase'}, {'subject': 'sulfate'}, {'subject': 'Gypsum'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'Dolomite'}, {'subject': 'Kaolinite'}, {'subject': 'Chlorites'}, {'subject': 'inosilicate'}, {'subject': 'Clinopyroxenes'}, {'subject': 'Orthopyroxenes'}, {'subject': 'numerical modeling'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['1 spectrum'],['ASCII']
-10.17178/emaa_ortho-nd3_rotation_84ab10a1,Rotation excitation of ortho-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 rotation energy levels / 18 radiative transitions / 120 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:40.000Z,2021-11-17T14:01:42.000Z,inist.osug,jbru,"target ortho-ND3,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.5838139,Data for Imaging tunable quantum Hall broken-symmetry orders in graphene,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Data plots in spreadsheet form,mds,True,findable,0,0,0,1,0,2022-01-12T14:28:17.000Z,2022-01-12T14:28:18.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_pa_20180702_001,Mo K edge XAS transmission of molybdenum dioxyde MoO2,SSHADE/FAME (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-16T15:01:57.000Z,2019-12-16T15:01:58.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,oxide,molybdenum dioxyde MoO2,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'oxide'}, {'subject': 'molybdenum dioxyde MoO2'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.17178/draixbleone_gal_rob_cond_1719,Electrical conductivity of the river Galabre at the Robine station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This conductivity data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:38.000Z,2020-09-15T15:58:39.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Surface water,Hydrology,Water quality / Water chemistry","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,['CSV']
-10.15778/resif.x12021,"Monitoring the Tour Perret at Grenoble, France (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2023,,Dataset,,"Within the framework of the preservation of cultural heritage in reinforced concrete, the URBASISMonitoring-Perret experiment aims to monitor the Perret Tower (built in 1924) in Grenoble, the first high-rise building (about 80m) in reinforced concrete. Since its construction, many pathologies linked to its damage have appeared. A rehabilitation project has been launched and in this framework, we wish to develop a research program on multi-instrument operational modal analysis (DAS, velocimeters, inclinometers...) and to search for the signature of the damage using SHM techniques.",mds,True,findable,0,0,0,0,0,2021-11-03T16:55:09.000Z,2021-11-03T16:56:36.000Z,inist.resif,vcob,"Seismic structural,Health,Monitoring,Culturate heritage building,Reinforced concrete","[{'subject': 'Seismic structural'}, {'subject': 'Health'}, {'subject': 'Monitoring'}, {'subject': 'Culturate heritage building'}, {'subject': 'Reinforced concrete'}]","['2 stations, 17Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.17178/ohmcv.rea.cev.07-14.1,Pluviometric reanalysis CÃ©vennes-Vivarais,CNRS - OSUG - OREME,2007,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",Hourly maps with a 1 kmÂ² resolution were produced for a selection of the most intense rainy days of period 2007-2012.,mds,True,findable,0,0,1,0,0,2017-03-10T17:09:28.000Z,2017-03-10T17:09:28.000Z,inist.osug,jbru,"Atmospheric conditions,Rain,Geographic Regions,Value-added dataset","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Rain', 'subjectScheme': 'main'}, {'subject': 'Geographic Regions', 'subjectScheme': 'main'}, {'subject': 'Value-added dataset', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.26302/sshade/bandlist_raman_shortite,Raman bandlist of natural Shortite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Shortite at 295K,mds,True,findable,0,0,0,0,0,2023-09-03T17:36:15.000Z,2023-09-03T17:36:16.000Z,inist.sshade,mgeg,"Shortite,Sodium cation,Calcium cation,Carbonate anion,Sodium(1+) cation,Calcium(2+) cation,17341-25-2,14127-61-8,Na+,Ca2+,(CO3)2-,Na2Ca2(CO3)3,Shortite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,-Shortite- group,14.04.01.01,05.AC.25,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Shortite', 'subjectScheme': 'name'}, {'subject': 'Sodium cation', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Sodium(1+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '17341-25-2', 'subjectScheme': 'CAS number'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': 'Na+', 'subjectScheme': 'formula'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'Na2Ca2(CO3)3', 'subjectScheme': 'formula'}, {'subject': 'Shortite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': '-Shortite- group', 'subjectScheme': 'Dana group'}, {'subject': '14.04.01.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AC.25', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.17178/cryobsclim.cdp.2018,Cryobs-Clim-CDP / Col de Porte : a meterological and snow observatory,CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019.  The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","The Col de Porte observatory is located near Grenoble in Chartreuse massif and is dedicated to study interactions between the cryosphere and the atmosphere at medium altitude. The site is managed by MÃ©tÃ©o-France (CNRM/CEN).The experimental site and related instrumentation are described in details in Morin et al., 2012 and Lejeune et al. (2018).  Hourly meteorological data from in situ measurements (CRYOBSCLIM.CDP.2018.MetInsitu) and from meteorological reanalysis (CRYOBSCLIM.CDP.2018.MetSafran) are provided along with measured snow properties (CRYOBSCLIM.CDP.2018.HourlySnow) and snow profiles (CRYOBSCLIM.CDP.2018.SnowProfile) and measured solar radiation masks (CRYOBSCLIM.CDP.2018.SolarMask) and soil properties (CRYOBSCLIM.CDP.2018.Soil). The daily snow and meteorological dataset covers the 1960-2017 period (CRYOBSCLIM.CDP.2018.MetSnowDaily).  
-Snowpack models and atmospheric models  have been evaluated at this site. Finally, Col de Porte is a target site to evaluate Numerical Weather Prediction (NWP) models in alpine terrain. 
-Cryobs-Clim-CDP is a Cryonet site of Global Cryosphere Watch (WMO), a member of the International Network for Alpine Research Catchment Hydrology (INARCH) and a part of OZCAR Infrastructure.",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:33.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"Alpine climate,Meteorology,Snowpack","[{'subject': 'Alpine climate', 'subjectScheme': 'main'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Snowpack', 'subjectScheme': 'var'}]",,"['netCDF', 'caaml', 'CSV']"
-10.6084/m9.figshare.22649273,Additional file 1 of Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Supplementary Table 1. Measures used in the COVID-IMPACT study.,mds,True,findable,0,0,0,0,0,2023-04-18T04:38:30.000Z,2023-04-18T04:38:30.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['25409 Bytes'],
-10.26302/sshade/experiment_cc_20180724_01,VNIR reflectance spectra of Thermonatrite with 3 different grain sizes and at variable temperature (93-279 K),SSHADE/REFL_SLAB+CSS (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR (0.5-4 Âµm) reflectance spectra of Thermonatrite with three different grain sizes (36-50, 75-100 and 125-150 Âµm) acquired at 11 temperatures between 93K and 279K",mds,True,findable,0,0,0,0,0,2019-12-19T19:02:37.000Z,2019-12-19T19:02:38.000Z,inist.sshade,mgeg,"solid,commercial,carbonate,Thermonatrite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'carbonate'}, {'subject': 'Thermonatrite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['35 spectra'],['ASCII']
-10.5281/zenodo.10223402,"Pairing Remote Sensing and Clustering in Landscape Hydrology for Large-Scale Changes Identification. Applications to the Subarctic Watershed of the George River (Nunavik, Canada). Dataset and Code.",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"For remote and vast northern watersheds, hydrological data are often sparse and incomplete. Landscape hydrology provides useful approaches for the indirect assessment of the hydrological characteristics of watersheds through analysis of landscape properties. In this study, we used unsupervised Geographic Object-Based Image Analysis (GeOBIA) paired with the Fuzzy C-Means (FCM) clustering algorithm to produce seven high-resolution territorial classifications of key remotely sensed hydro-geomorphic metrics for the 1985-2019 time-period, each spanning five years. Our study site is the George River watershed (GRW), a 42,000 km2 watershed located in Nunavik, northern Quebec (Canada). The subwatersheds within the GRW, used as the objects of the GeOBIA, were classified as a function of their hydrological similarities. Classification results for the period 2015-2019 showed that the GRW is composed of two main types of subwatersheds distributed along a latitudinal gradient, which indicates broad-scale differences in hydrological regimes and water balances across the GRW. Six classifications were computed for the period 1985-2014 to investigate past changes in hydrological regime. The seven-classification time series showed a homogenization of subwatershed types associated to increases in vegetation productivity and in water content
-in soil and vegetation, mostly concentrated in the northern half of the GRW, which were the major changes occurring in the land cover metrics of the GRW. An increase in vegetation productivity likely contributed to an augmentation in evapotranspiration and may be a primary driver of fundamental shifts in the GRW water balance, potentially explaining a measured decline of about 1 % (âˆ¼ 0.16 km3yâˆ’1) in the George Riverâ€™s discharge since the mid-1970s. Permafrost degradation over the study period also likely affected the hydrological regime and water balance of the GRW. However, the shifts in permafrost extent and active layer thickness remain difficult to detect using remote sensing based approaches, particularly in areas of discontinuous and sporadic permafrost.",api,True,findable,0,0,0,0,0,2023-11-29T20:32:53.000Z,2023-11-29T20:32:53.000Z,cern.zenodo,cern,"landscape hydrology,remote sensing,clustering,Subarctic watershed,Arctic greening","[{'subject': 'landscape hydrology'}, {'subject': 'remote sensing'}, {'subject': 'clustering'}, {'subject': 'Subarctic watershed'}, {'subject': 'Arctic greening'}]",,
-10.5281/zenodo.4784408,FIGURE 1 in Delimitation of the series Laurifoliae in the genus Passiflora (Passifloraceae),Zenodo,2017,,Image,Open Access,FIGURE 1. Flowers of the series Laurifoliae. A: P. acuminata (photo: J. B. Fernandes da Silva); B: P. ambigua (photo: R. Aguilar); C: P. venusta (photo: D. Scherberich); D: P. cerasina (photo: M. Vecchia); E: P. crenata (photo: M. Rome); F: P. fissurosa (photo: M. de Souza); G: P. laurifolia (photo: F. Booms); H: P. nigradenia (photo: D. Scherberich); I: P. nitida (photo: M. Rome); J: P. popenovii (photo: G. Coppens d'Eeckenbrugge); K: P. rufostipulata (photo: C. Houel); L: P. gabrielliana (photo: M. Rome): M: P. ischnoclada (photo: C. Houel); N: P. kikiana in Cervi (2010); O: P. guazumaefolia (photo: J. Ocampo); P: P. odontophylla (flower of the type specimen).,mds,True,findable,0,0,0,0,0,2021-05-24T22:31:40.000Z,2021-05-24T22:31:40.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.26302/sshade/experiment_ak_20141109_1,Mid-infrared attenuated total reflectance experiment with K+ exchanged less 0.1 Î¼m size fraction of beidellite (SbId-1) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:13:30.000Z,2022-11-04T08:13:31.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,K-exchanged beidellite SbId-1 size-fraction &lt;0.1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'K-exchanged beidellite SbId-1 size-fraction &lt;0.1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['5 spectra'],['ASCII']
-10.5281/zenodo.8362750,"Raw Data for Ultrashort Electron Wave Packets via Frequency-Comb Synthesis. Aluffi et al, 2023",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This compressed files contains all the raw data and the python analysis scripts used to generate the figures in the paper Ultrashort Electron Wave Packets via Frequency-Comb Synthesis, Aluffi et al, 2023. 10.1103/PhysRevApplied.20.034005 Preprint available at https://doi.org/10.48550/arXiv.2212.12311",mds,True,findable,0,0,0,0,0,2023-09-20T17:09:28.000Z,2023-09-20T17:09:29.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10640566,"Dataset for the Paper ""Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Dataset used for the paper ""Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023"" submitted at REP'24.
-
-The associated analysis scripts are available on Software-Heritage: https://archive.softwareheritage.org/swh:1:dir:f755a41eb18045b3367ace8ebecce269a27ce554;origin=https://github.com/GuilloteauQ/artefact-lifetime;visit=swh:1:snp:0b8abfb72a9978fe2641d71f459863c34e915b6d;anchor=swh:1:rev:0b10910a576be7e057a60d6eb9929c688933f78b",api,True,findable,0,0,0,0,0,2024-02-09T14:40:27.000Z,2024-02-09T14:40:27.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_sb_20210430_001,Optical constants in the MIR and FIR for an oriented olivine crystal parallel to the three crystallographic axes,SSHADE/DOCCD (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-05-10T12:27:40.000Z,2021-05-10T12:27:41.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,Olivine,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'Olivine'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['3 spectra'],['ASCII']
-10.5281/zenodo.3873216,Raw diffraction data for [NiFeSe] hydrogenase G491A variant pressurized with Kr gas - dataset G491A-Kr,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID30A-3 on September 27, 2017.",mds,True,findable,4,0,0,0,0,2020-06-02T15:01:13.000Z,2020-06-02T15:01:14.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
-10.5061/dryad.b8gtht78h,Global gradients in intraspecific variation in vegetative and floral traits are partially associated with climate and species richness,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Aim Intraspecific trait variation (ITV) within natural plant communities can be large, influencing local ecological processes and dynamics. Here, we shed light on how ITV in vegetative and floral traits responds to large-scale abiotic and biotic gradients (i.e. climate and species richness). Specifically, we tested if associations of ITV with temperature, precipitation and species richness were consistent with any of from four hypotheses relating to stress-tolerance and competition. Furthermore, we estimated the degree of correlation between ITV in vegetative and floral traits and how they vary along the gradients. Location Global. Time period 1975-2016. Major taxa studied Herbaceous and woody plants. Methods We compiled a dataset of 18,112 measurements of the absolute extent of ITV (measured as coefficient of variation) in nine vegetative and seven floral traits from 2,774 herbaceous and woody species at 2,306 locations. Results Large-scale associations between ITV and climate were trait-specific and more prominent for vegetative traits, especially leaf morphology, than for floral traits. ITV showed pronounced associations with climate, with lower ITV values in colder areas and higher values in drier areas. The associations of ITV with species richness were inconsistent across traits. Species-specific associations across gradients were often idiosyncratic and covariation in ITV was weaker between vegetative and floral traits than within the two trait groups. Main conclusions Our results show that, depending on the traits considered, ITV either increased or decreased with climate stress and species richness, suggesting that both factors can constrain or enhance ITV, which might foster plant-population persistence under stressful conditions. Given the species-specific responses and covariation in ITV, associations can be hard to predict for traits and species not yet studied. We conclude that considering ITV can improve our understanding of how plants cope with stressful conditions and environmental change across spatial and biological scales.",mds,True,findable,263,48,1,1,0,2020-02-04T15:41:47.000Z,2020-02-04T15:41:48.000Z,dryad.dryad,dryad,"functional plant traits,flower trait,Leaf trait","[{'subject': 'functional plant traits'}, {'subject': 'flower trait'}, {'subject': 'Leaf trait'}]",['2467474 bytes'],
-10.17178/ohmcv.dsd.tou.12-16.1,"DSD network, Tourgueille",CNRS - OSUG - OREME,2012,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:21.000Z,2017-10-17T13:24:21.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.5281/zenodo.6798922,Binding Energies of Interstellar Relevant S-bearing Species on Water Ice Mantles: A Quantum Mechanical Investigation,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This Supporting Material contains: Fractional coordinates of DFT optimized adsorption complexes for crystalline periodic ice models in .mol format, editable with MOLDRAW, using CRYSTAL17 computer code; Fractional coordinates of HF-3c optimized adsorption complexes for amorphous periodic ice models in .mol format, editable with MOLDRAW, using CRYSTAL17 computer code; Images of the adsorption features at crystalline periodic ice models, in which electrostatic potential maps, spin density maps (when available) and vibrational features are displayed; A pdf file with a thorough guide to the computation of BEs and the basis sets employed for the calculations.",mds,True,findable,0,0,0,0,0,2022-08-26T09:55:11.000Z,2022-08-26T09:55:12.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_sb_20210312_001,Optical constants of amorphous aluminium oxide in MIR/FIR,SSHADE/DOCCD (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-03-17T11:49:27.000Z,2021-03-17T11:49:28.000Z,inist.sshade,mgeg,"laboratory,liquid,water, liquid,oxide-hydroxide,Al$_{2}$O$_{3}$, amorphous,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'liquid'}, {'subject': 'water, liquid'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Al$_{2}$O$_{3}$, amorphous'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['1 spectrum'],['ASCII']
-10.6084/m9.figshare.16786768,Additional file 6 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 6. Case report form.,mds,True,findable,0,0,16,1,0,2021-10-12T03:42:16.000Z,2021-10-12T03:42:17.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['1140940 Bytes'],
-10.26302/sshade/experiment_bs_20130125_001,Mid-IR and Far-IR optical constants of crystalline CO2 ice at 15 K,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Mid and Far-IR (54-4800cm$^{-1}$) optical constants of crystalline $CO_2$ ice at 15 K,mds,True,findable,0,0,0,0,0,2020-01-02T12:51:42.000Z,2020-01-02T12:51:42.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,CO2 cubic ice,laboratory measurement,transmission,macroscopic,FIR,Far-Infrared,MIR,Mid-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'CO2 cubic ice'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'optical constants'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.10423907,"Neuroimaging data related to the study: ""Dynamics of White Matter Architecture in Lexical Production among Middle-Aged Adults""",Zenodo,2024,en,Dataset,Creative Commons Attribution Non Commercial 4.0 International,"See the accompanying code repository
-
-Track-Weighted Imaging (TWI)
-
-
-
-TW_FA_Gaussian25_155subj.mif.gzÂ (dim 121 x 152 x 121 x 155):Â Track-Weighted Fractional Anisotropic images (TW-FA) generated with 25 mm neighborhood weighting (per-track smoothing) in template space.
-
-155subj_FA_map.mif.gzÂ (dim 128 x 128 x 88):Â Fractional Anistropic images (FA).
-
-wmfod_norm_up.mif.gz (dim 121 x 152 x 121 x 45): Study template derived from white matter fiber orientation distribution (FOD), normalized, and upsampled to 1.5 mm isotropic.
-
-SH_peaks_template.mif.gz (dim 121 x 152 x 121 x 9): Spherical Harmonics peaksÂ derived from the study template (used to generate TOM and TOM trackings with TractSeg).
-
-
-Non-Negative Matrix Factorization (NMF)
-
-
-
-W.mat & H.mat:Â Solutions from NMF. The optimal solution found for this study is the one with 16 networks (i.e., in the 8th position in the mat files as there is a 2-step increment between solutions).
-
-Network_Parcellation_NNMF.nii: 3D volume containing the part-based solution derived from NMF (i.e., 16 spatially non-overlapping networks of structurally covarying white matter areas).
-
-Network_Parcellation_NNMF_cluster.nii: IDEM but only considering clusters of at least 25 connected voxels within each network (used to compute the overlap with TractSeg bundles).
-
-
-BRAIN VISUALIZATION
-
-For figure 2:
-
-
-
-TW_FA_Gaussian25_155subj_mean_mesh.obj:Â White Matter Mesh derived from the mean image (used with the surfice software).
-
-NMF_age_networks_composition.xlsx:Â DatasetÂ containing the spatial, connectivity, and composite score used to determine the composition of each NMF-derived network.
-
-*_track_overlay.tck: The 6Â Tractography files to overlay onto the meshÂ for visualizating the bundles most contributing to the middle-age-related NMF networks.
-
-
-For figure 3 & 4:
-
-
-
-TW_FA_Gaussian25_155subj_mean.nii:Â Mean TW-FA image across all subjects.
-
-TW_FA_Gaussian25_155subj_mean_mask_95.nii:Â Binary group mask containing only the voxels that had a non-null TW-FA value across at least 95% of subjects.
-
-*LC1_BSR_saliences.nii & *LC2_BSR_saliences.nii:Â Voxel-level salience map of the 1st and 2nd latent component (unthresholded; please note that only BSR +/- 2.58 signified a robust contribution in our study).
-
-NNMF_BSR_LC1.nii:Â Network-level salience map.
-
-*res & save_opts.mat:Â Partial Least Squares (PLS) results and parameters.",api,True,findable,0,0,0,0,0,2024-02-09T11:30:32.000Z,2024-02-09T11:30:32.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8269356,Microdialysis on-chip crystallization of HEWL and Thaumatin and in situ X-ray diffraction studies,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This deposition includes the mtz and pdb files for HEWL and Thaumatin crystal structures included in the article ""Microdialysis on-chip crystallization of soluble and membrane proteins with the MicroCrys platform and in situ X-ray diffraction case studies"".",mds,True,findable,0,0,0,0,0,2023-08-21T14:03:06.000Z,2023-08-21T14:03:06.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7030107,"Dataset for "" 4D nanoimaging of early age cement hydration "" Nature Communications paper",Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Abstract of the Nature Communications paper from this dataset is: ""Despite a century of research, our understanding of cement dissolution and precipitation processes at early ages is very limited. This is due to the lack of methods that can image these processes with enough spatial resolution, contrast and field of view. Here, we adapt near-field ptychographic nanotomography to in situ visualise the hydration of commercial Portland cement in a record-thick capillary. At 19h, porous C-S-H gel shell, thickness of 500 nm, covers every alite grain enclosing a water gap. The spatial dissolution rate of small alite grains in the acceleration period, âˆ¼100 nm/h, is approximately four times faster than that of large alite grains in the deceleration stage, âˆ¼25 nm/h. Etch-pit development has also been mapped out. This work is complemented by laboratory and synchrotron microtomographies, allowing to measure the particle size distributions with time. 4D nanoimaging will allow mechanistically study dissolution-precipitation processes including the roles of accelerators and superplasticizers. """,mds,True,findable,0,0,0,0,0,2023-05-02T08:31:40.000Z,2023-05-02T08:31:42.000Z,cern.zenodo,cern,"Nanotomography,Microtomography,Ptychography,Imaging,Portland Cement,Machine Learning,In situ Analysis","[{'subject': 'Nanotomography'}, {'subject': 'Microtomography'}, {'subject': 'Ptychography'}, {'subject': 'Imaging'}, {'subject': 'Portland Cement'}, {'subject': 'Machine Learning'}, {'subject': 'In situ Analysis'}]",,
-10.5281/zenodo.5084367,"Data and code used in ""Satellite magnetic data reveal interannual waves in Earth's core""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Eigen mode solutions and code to obtain them for the results presented in Satellite magnetic data reveal interannual waves in Earth's core. The package uses the freely available code Mire.jl. <strong>Prerequisites</strong> Installed python3 with matplotlib â‰¥v2.1, cmocean and cartopy. A working Julia â‰¥v1.7. <strong>Run</strong> In the project folder run <pre><code>julia --project=.</code></pre> <br> Then, from within the Julia REPL run <pre><code>]instantiate</code></pre> at first time, to install all dependencies. After that, to compute all plots, run <pre><code>using QGMCSat allfigs()</code></pre> They're automatically saved in the ""figs"" subfolder of the repository. If loading QGMCSat fails, due to a missing cartopy or cmocean in the python version. Run (within Julia)<br> <pre><code>ENV[""PYTHON""] = ""python"" #this should point to the python version that has cartopy installed ]build PyCall</code></pre> <br> To calculate all data, run <pre><code>using QGMCSat calculate_data()</code></pre> This will take several hours/days depending on the machine (needs enough memory). Individual data can be accessed directly through the .jld2 files from Julia. You can check out the individual figure functions to get an idea where which data is stored. If there are any issues or questions, please don't hesitate to get in touch!",mds,True,findable,0,0,0,1,0,2022-02-28T19:22:58.000Z,2022-02-28T19:23:00.000Z,cern.zenodo,cern,,,,
-10.34847/nkl.bf5f263z,Atelier SAGEO 2021 : Traitements spatiaux avec le plugin Python t4gpd dans le contexte dâ€™un Jupyter Notebook,NAKALA - https://nakala.fr (Huma-Num - CNRS),2021,fr,ComputationalNotebook,,"Cet atelier s'inscrit dans le contexte de l'Ã©dition 2021 de la confÃ©rence SAGEO (http://sageo2021.univ-lr.fr/). Il a pour objectif dâ€™initier les participants au traitement de donnÃ©es spatiales via le plugin Python3 t4gpd. Il alternera des mises en contexte introductives avec des travaux pratiques en environnement Jupyter Notebook. Lâ€™outil t4gpd permet dâ€™analyser les formes dâ€™espace construit dans diffÃ©rents registres, de lâ€™analyse bioclimatique (orientation hÃ©liothermique, vue du ciel, etc.), Ã  lâ€™analyse de tracÃ©s (orientations, distances sur un graphe, etc.), en passant par des analyses Ã  connotations paysagÃ¨res (visibilitÃ©s, Ã©tudes dâ€™alignements dâ€™arbres, etc.) ou des analyses de composantes des tissus urbains (identification de rues canyons, typologie dâ€™intersections, etc.). DÃ©veloppÃ© au sein de AAU-CRENAU (https://aau.archi.fr/), il bÃ©nÃ©ficie autant dâ€™un ensemble de travaux conduits depuis plusieurs dÃ©cennies Ã  lâ€™Ã©cole nationale supÃ©rieure dâ€™architecture de Nantes, que des dÃ©veloppements rÃ©cents autour de bibliothÃ¨ques telles que GeoPandas ou Shapely.
-
-Plan de lâ€™atelier :
-
-- Introduction : OpÃ©rations gÃ©omÃ©triques Ã©lÃ©mentaires et initiation Ã  Shapely. GeoPandas comme cartouche spatiale pour Pandas. Production de cartes Ã©lÃ©mentaires via Matplotlib. Exercice pratique : dÃ©sagrÃ©gation de donnÃ©es carroyÃ©es.
-
-- ProximitÃ© et zone de confinement : De la distance Ã  vol dâ€™oiseau Ã  la distance parcourue au sol sur un graphe â€“ identification dâ€™un plus court chemin. Retour sur une polÃ©mique : le pÃ©rimÃ¨tre dâ€™un kilomÃ¨tre. Exercices pratiques : pÃ©rimÃ¨tre de confinement de 1km, associer chaque bÃ¢timent dâ€™une zone dâ€™Ã©tude Ã  lâ€™espace de coworking le plus proche.
-
-- Forme de lâ€™espace environnant et ressenti de densitÃ© : Indices de forme, champs d'isovists, analyse des vues du ciel. Exercices pratiques : convexitÃ©, rectangularitÃ©, circularitÃ©, ellipticitÃ© ; analyse de lâ€™Ã©volution du facteur de vues du ciel au cours dâ€™un cheminement piÃ©ton.
-
-- OÃ¹ trouver lâ€™ombre en ville ? Course solaire et ombre au sol. Cumuls dâ€™ombre et partitionnement de lâ€™espace. Exercice pratique : dÃ©limiter les zones du Cours Cambronne (Nantes) Ã  lâ€™ombre pendant plus de 4h le 21 juin.
-
-Note : les fichiers d'extension ipynb peuvent Ãªtre lus en ligne Ã  l'aide de l'outil https://nbviewer.jupyter.org/.",api,True,findable,0,0,0,0,0,2021-05-20T15:40:24.000Z,2021-05-20T15:40:24.000Z,inist.humanum,jbru,"t4gpd,Python,geopandas,shapely,Jupyter Notebook","[{'lang': 'fr', 'subject': 't4gpd'}, {'lang': 'fr', 'subject': 'Python'}, {'lang': 'fr', 'subject': 'geopandas'}, {'lang': 'fr', 'subject': 'shapely'}, {'lang': 'fr', 'subject': 'Jupyter Notebook'}]","['170361 Bytes', '175080 Bytes', '1047624 Bytes', '1028496 Bytes', '980582 Bytes', '692178 Bytes', '949943 Bytes', '819001 Bytes', '913679 Bytes']","['text/plain', 'application/pdf', 'text/plain', 'application/pdf', 'text/plain', 'application/pdf', 'text/plain', 'application/pdf', 'application/pdf']"
-10.5061/dryad.9g5fp,Data from: Cophylogeny Reconstruction via an Approximate Bayesian Computation,Dryad,2014,en,Dataset,Creative Commons Zero v1.0 Universal,"Despite an increasingly vast literature on cophylogenetic reconstructions for studying host-parasite associations, understanding the common evolutionary history of such systems remains a problem that is far from being solved. Most algorithms for host-parasite reconciliation use an event-based model, where the events include in general (a subset of) cospeciation, duplication, loss, and host switch. All known parsimonious event-based methods then assign a cost to each type of event in order to find a reconstruction of minimum cost. The main problem with this approach is that the cost of the events strongly influences the reconciliation obtained. Some earlier approaches attempt to avoid this problem by finding a Pareto set of solutions and hence by considering event costs under some minimisation constraints. To deal with this problem, we developed an algorithm, called \Coala, for estimating the frequency of the events based on an approximate Bayesian computation approach. The benefits of this method are twofold: (1) it provides more confidence in the set of costs to be used in a reconciliation, and (2) it allows estimation of the frequency of the events in cases where the dataset consists of trees with a large number of taxa. We evaluate our method on simulated and on biological datasets. We show that in both cases, for the same pair of host and parasite trees, different sets of frequencies for the events lead to equally probable solutions. Moreover, often these solutions differ greatly in terms of the number of inferred events. It appears crucial to take this into account before attempting any further biological interpretation of such reconciliations. More generally, we also show that the set of frequencies can vary widely depending on the input host and parasite trees. Indiscriminately applying a standard vector of costs may thus not be a good strategy.",mds,True,findable,405,102,1,1,0,2014-12-26T20:33:05.000Z,2014-12-26T20:33:07.000Z,dryad.dryad,dryad,"host/parasite systems,likelihood-free inference,cophylogeny","[{'subject': 'host/parasite systems'}, {'subject': 'likelihood-free inference'}, {'subject': 'cophylogeny'}]",['1699826 bytes'],
-10.17178/emaa_ortho-nd3_hyperfine_56cd60b2,Hyperfine excitation of ortho-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",18 hyperfine energy levels / 32 radiative transitions / 135 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:36.000Z,2021-11-17T14:01:38.000Z,inist.osug,jbru,"target ortho-ND3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_cl_20181202_01,Ion irradiation ($He^+$) of a FRO95002 meteorite pellet probed by NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR spectra of FRO95002 meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T17:01:41.000Z,2022-05-27T17:01:42.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CO,complex organic-mineral mix,matrix FRO95002,complex mineral mix,chondrules FRO95002,CAIs FRO95002,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CO'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix FRO95002'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules FRO95002'}, {'subject': 'CAIs FRO95002'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.26302/sshade/experiment_jg_20091028_001,"Vis-NIR reflectance spectra of Udokan (Siberia, Russia) basalt powder",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Vis-NIR reflectance spectra of the Udokan basalts altered in cold and arid environment (Siberia). The samples were collected along lava flow. The experiment contains spectra of the whole-rock powders.,mds,True,findable,0,0,0,0,0,2019-12-09T05:15:26.000Z,2019-12-09T05:15:26.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,carbonate,calcite,zeolites,oxide-hydroxide,ferrihydrite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'carbonate'}, {'subject': 'calcite'}, {'subject': 'zeolites'}, {'subject': 'oxide-hydroxide'}, {'subject': 'ferrihydrite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['3 spectra'],['ASCII']
-10.6084/m9.figshare.15033205,Additional file 2 of Variability of multi-omics profiles in a population-based child cohort,figshare,2021,,Dataset,Creative Commons Attribution 4.0 International,"Additional file 2. Results of the variance explained by each explanatory variable in each omics feature. This file contains, for each omics layer (one per sheet), the percentage of variance explained by each explanatory variable in each omics feature.",mds,True,findable,0,0,54,1,0,2021-07-22T03:31:45.000Z,2021-07-22T03:31:47.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['23779562 Bytes'],
-10.26302/sshade/experiment_gl_20150102_1,Mid-infrared diffuse reflectance experiment with chlorite (chamosite) heated in-situ from 25 to 700Â°C,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:24:47.000Z,2022-11-04T08:24:48.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,chamosite,commercial,elemental solid,Synthetic diamond powder,laboratory measurement,diffuse reflection,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'chamosite'}, {'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'Synthetic diamond powder'}, {'subject': 'laboratory measurement'}, {'subject': 'diffuse reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['4 spectra'],['ASCII']
-10.17178/cryobsclim.clb.bso,"Col du Lac Blanc, Hourly blowing snow occurrence",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate â€“ Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:34.000Z,2018-04-09T10:16:35.000Z,inist.osug,jbru,Blowing snow occurrence,"[{'subject': 'Blowing snow occurrence', 'subjectScheme': 'main'}]",,['CSV']
-10.5281/zenodo.8368904,Environmental DNA highlights the influence of salinity and agricultural run-off on coastal fish assemblages in the Great Barrier Reef region,Zenodo,2023,,Other,"Creative Commons Attribution 4.0 International,Open Access","Agricultural run-off in Australia's Mackay-Whitsunday region is a major source of nutrient and pesticide pollution to the coastal and inshore ecosystems of the Great Barrier Reef. While the effects of run-off are well documented for the region's coral and seagrass habitats, the ecological impacts on estuaries, the direct recipients of run-off, are less known. This is particularly true for fish communities, which are shaped by the physico-chemical properties of the coastal waterways that vary greatly in tropical regions. To address this knowledge gap, we used environmental DNA (eDNA) metabarcoding to examine teleost and elasmobranch fish assemblages at four locations (three estuaries and a harbour) subjected to varying levels of agricultural run-off during a wet and dry season. Pesticide and nutrient concentrations were markedly lower during the sampled dry season. With the influx of freshwater and agricultural run-off during the wet season, teleost and elasmobranch taxa richness significantly decreased in all three estuaries, along with pronounced changes in fish community composition which were largely associated with environmental variables (particularly salinity). In contrast, the nearby Mackay Harbour exhibited a far more stable community structure, with no marked changes in fish assemblages observed between the sampled seasons. Within the wet season, differing compositions of fish communities were observed among the four sampled locations, with this variation being significantly correlated with environmental variables (salinity, chlorophyll, DOC) and contaminants from agricultural run-off, i.e., nutrients (nitrogen and phosphorus) and pesticides. Historically contaminated and relatively unimpacted estuaries each demonstrated distinct fish communities, reflecting their associated catchment use. Our findings emphasise that while seasonal effects (e.g., changes in salinity) play a key role in shaping the community structure of estuarine fish in this region, agricultural contaminants (nutrients and pesticides) are also important contributors in some systems.",mds,True,findable,0,0,0,0,0,2023-09-22T22:57:46.000Z,2023-09-22T22:57:47.000Z,cern.zenodo,cern,"eDNA,chemical analyses,species matrix","[{'subject': 'eDNA'}, {'subject': 'chemical analyses'}, {'subject': 'species matrix'}]",,
-10.25577/m0dc-n549,IntensitÃ©s macrosismiques du sÃ©isme de La Laigne du 16 juin 2023,"EOST UAR830, UniversitÃ© de Strasbourg, CNRS",2023,fr,Dataset,Creative Commons Attribution 4.0 International,Ce jeu de donnÃ©es prÃ©sente les intensitÃ©s macrosismiques du sÃ©isme de La Laigne survenu le 16 juin 2023 Ã  16h38 (TU). Elles ont Ã©tÃ© Ã©tablies par le BCSF-RÃ©nass Ã  partir des rÃ¨gles de l'Ã©chelle d'intensitÃ© macrosismique europÃ©enne EMS-98.,fabrica,True,findable,0,0,0,0,0,2023-12-18T14:52:02.000Z,2023-12-20T15:26:57.000Z,inist.eost,jbru,"macrosismique,intensitÃ©,EMS-98,sÃ©isme,tremblement de terre,La Laigne","[{'subject': 'macrosismique'}, {'subject': 'intensitÃ©'}, {'subject': 'EMS-98'}, {'subject': 'sÃ©isme'}, {'subject': 'tremblement de terre'}, {'subject': 'La Laigne'}]",,['text/csv']
-10.26302/sshade/experiment_lb_20170718_001,"Mid-IR absorbance spectra of 5 bulk CV chondrites in KBr pellets at ambient temperature, 150Â°C and 300Â°C",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR absorbance spectra of 5 bulk CV chondrites (Allende, Mokoia, Grosnaja, Kaba, Vigarano) in KBr pellets at 3 different temperatures: ambient temperature, 150Â°C and 300Â°C",mds,True,findable,0,0,0,0,0,2021-01-15T07:09:35.000Z,2021-01-15T07:09:36.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix Allende,complex mineral mix,chondrules Allende,CAIs Allende,physically adsorbed phase,adsorbed water on Allende bulk,commercial,bromide,KBr,adsorbed water on KBr (Beck14),matrix Allende heated at 150C,matrix Allende heated at 300C,matrix Grosnaja,chondrules Grosnaja,CAIs Grosnaja,adsorbed water on Grosnaja bulk,matrix Grosnaja heated at 150C,matrix Grosnaja heated at 300C,chondrules Kaba,CAIs Kaba,adsorbed water on Kaba bulk,matrix Kaba heated at 150C,matrix Kaba heated at 300C,matrix Mokoia,chondrules Mokoia,CAIs Mokoia,adsorbed water on Mokoia bulk,matrix Mokoia heated at 150C,matrix Mokoia heated at 300C,matrix Vigarano,chondrules Vigarano,CAIs Vigarano,adsorbed water on Vigarano bulk,matrix Vigarano heated at 150C,matrix Vigarano heated at 300C,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Allende'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Allende'}, {'subject': 'CAIs Allende'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water on Allende bulk'}, {'subject': 'commercial'}, {'subject': 'bromide'}, {'subject': 'KBr'}, {'subject': 'adsorbed water on KBr (Beck14)'}, {'subject': 'matrix Allende heated at 150C'}, {'subject': 'matrix Allende heated at 300C'}, {'subject': 'matrix Grosnaja'}, {'subject': 'chondrules Grosnaja'}, {'subject': 'CAIs Grosnaja'}, {'subject': 'adsorbed water on Grosnaja bulk'}, {'subject': 'matrix Grosnaja heated at 150C'}, {'subject': 'matrix Grosnaja heated at 300C'}, {'subject': 'chondrules Kaba'}, {'subject': 'CAIs Kaba'}, {'subject': 'adsorbed water on Kaba bulk'}, {'subject': 'matrix Kaba heated at 150C'}, {'subject': 'matrix Kaba heated at 300C'}, {'subject': 'matrix Mokoia'}, {'subject': 'chondrules Mokoia'}, {'subject': 'CAIs Mokoia'}, {'subject': 'adsorbed water on Mokoia bulk'}, {'subject': 'matrix Mokoia heated at 150C'}, {'subject': 'matrix Mokoia heated at 300C'}, {'subject': 'matrix Vigarano'}, {'subject': 'chondrules Vigarano'}, {'subject': 'CAIs Vigarano'}, {'subject': 'adsorbed water on Vigarano bulk'}, {'subject': 'matrix Vigarano heated at 150C'}, {'subject': 'matrix Vigarano heated at 300C'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['15 spectra'],['ASCII']
-10.17178/amma-catch.cl.pond_nc,"Surface water dataset (pond water level), within the Fakara site (2 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Knowledge of long-term changes in surface water - groundwater recharge processes in response to environmental changes and inter-annual rainfall variability.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:11.000Z,2018-03-16T15:37:11.000Z,inist.osug,jbru,"Water balance, limnimetry, pond,Sahelian climate,Water Level (from reading sensor),Water Level","[{'subject': 'Water balance, limnimetry, pond', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Water Level (from reading sensor)', 'subjectScheme': 'var'}, {'subject': 'Water Level', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5061/dryad.s4q6s,Data from: Genetic diversity in widespread species is not congruent with species richness in alpine plant communities,Dryad,2013,en,Dataset,Creative Commons Zero v1.0 Universal,"The Convention on Biological Diversity (CBD) aims at the conservation of all three levels of biodiversity, i.e. ecosystems, species and genes. Genetic diversity represents evolutionary potential and is important for ecosystem functioning. Unfortunately, genetic diversity in natural populations is hardly considered in conservation strategies because it is difficult to measure and has been hypothesized to co-vary with species richness. This means that species richness is taken as a surrogate of genetic diversity in conservation planning, though their relationship has not been properly evaluated. We tested whether the genetic and species levels of biodiversity co-vary, using a large-scale and multi-species approach. We chose the high-mountain flora of the Alps and the Carpathians as study systems and demonstrate that species richness and genetic diversity are not correlated. Species richness thus cannot act as a surrogate for genetic diversity. Our results have important consequences for implementing the CBD when designing conservation strategies.",mds,True,findable,519,100,1,2,0,2012-09-06T20:49:41.000Z,2012-09-06T20:49:41.000Z,dryad.dryad,dryad,"Arabis alpina L.,Saxifraga stellaris L.,Saxifraga wahlenbergii Ball,Hedysarum hedysaroides Schinz &amp; Thell. s.l.,Androsace obtusifolia All.,Festuca supina (= F. airoides) Schur,Festuca carpathica F. Dietr.,Gentiana nivalis L.,Soldanella pusilla Baum.,Gypsophila repens L.,Festuca versicolor Tausch s.l.,Cerastium uniflorum Clairv.,Loiseleuria procumbens (L.) Desv.,Juncus trifidus L.,Phyteuma betonicifolium Vill. s.l.,Geum reptans L.,Sempervivum montanum L. s.l.,Luzula alpinopilosa (Chaix) Breist.,Sesleria caerulea (L.) Ard.,Carex sempervirens Vill.,Primula minima L.,Hornungia alpina (L.) Appel s.l.,Ranunculus alpestris L. s.l.,Campanula barbata L.,Peucedanum ostruthium (L.) W.D. Koch,Rhododendron myrthifolium Schott &amp; Kotschy,Quaternary,alpine vascular plants,Trifolium alpinum L.,Campanula alpina Jacq.,Phyteuma hemisphaericum L.,Phyteuma confusum A. Kern.,Veronica baumgartenii Roem. &amp; Schult.,Dryas octopetala L.,Geum montanum L.,Carex firma Mygind,Ligusticum mutellinoides (Cr.) Vill.,Hypochaeris uniflora Vill.,Campanula serrata (Kit.) Hendrych,Rhododendron ferrugineum L.,Cirsium spinosissimum (L.) Scop.","[{'subject': 'Arabis alpina L.'}, {'subject': 'Saxifraga stellaris L.'}, {'subject': 'Saxifraga wahlenbergii Ball'}, {'subject': 'Hedysarum hedysaroides Schinz &amp; Thell. s.l.'}, {'subject': 'Androsace obtusifolia All.'}, {'subject': 'Festuca supina (= F. airoides) Schur'}, {'subject': 'Festuca carpathica F. Dietr.'}, {'subject': 'Gentiana nivalis L.'}, {'subject': 'Soldanella pusilla Baum.'}, {'subject': 'Gypsophila repens L.'}, {'subject': 'Festuca versicolor Tausch s.l.'}, {'subject': 'Cerastium uniflorum Clairv.'}, {'subject': 'Loiseleuria procumbens (L.) Desv.'}, {'subject': 'Juncus trifidus L.'}, {'subject': 'Phyteuma betonicifolium Vill. s.l.'}, {'subject': 'Geum reptans L.'}, {'subject': 'Sempervivum montanum L. s.l.'}, {'subject': 'Luzula alpinopilosa (Chaix) Breist.'}, {'subject': 'Sesleria caerulea (L.) Ard.'}, {'subject': 'Carex sempervirens Vill.'}, {'subject': 'Primula minima L.'}, {'subject': 'Hornungia alpina (L.) Appel s.l.'}, {'subject': 'Ranunculus alpestris L. s.l.'}, {'subject': 'Campanula barbata L.'}, {'subject': 'Peucedanum ostruthium (L.) W.D. Koch'}, {'subject': 'Rhododendron myrthifolium Schott &amp; Kotschy'}, {'subject': 'Quaternary'}, {'subject': 'alpine vascular plants'}, {'subject': 'Trifolium alpinum L.'}, {'subject': 'Campanula alpina Jacq.'}, {'subject': 'Phyteuma hemisphaericum L.'}, {'subject': 'Phyteuma confusum A. Kern.'}, {'subject': 'Veronica baumgartenii Roem. &amp; Schult.'}, {'subject': 'Dryas octopetala L.'}, {'subject': 'Geum montanum L.'}, {'subject': 'Carex firma Mygind'}, {'subject': 'Ligusticum mutellinoides (Cr.) Vill.'}, {'subject': 'Hypochaeris uniflora Vill.'}, {'subject': 'Campanula serrata (Kit.) Hendrych'}, {'subject': 'Rhododendron ferrugineum L.'}, {'subject': 'Cirsium spinosissimum (L.) Scop.'}]",['1242012 bytes'],
-10.17178/amma-catch.ae.shflux_odc,"Surface flux dataset (including meteorological data, radiative budget, and surface energy fluxes), within the Donga watershed (600km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sudanian climate. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:52.000Z,2018-03-16T15:36:53.000Z,inist.osug,jbru,"Land surface exchange, energy budget, Sudanian vegetation, Sudanian hydrology,Sudanian climate,Wind Speed,Relative Humidity,Soil Moisture/Water Content at depth 10 cm (loc. a),Ventilated Air Temperature,Soil Temperature at depth X cm (loc. b),Outgoing Longwave Radiation,Standard Deviation of Wind Direction,Soil Moisture/Water Content at depth 50 cm (loc. a),Net Radiation,Air Temperature,Soil Temperature at depth 50 cm (loc. a),Wind Direction,Ventilated Relative Humidity,Outgoing Shortwave Radiation,Incoming Longwave Radiation,Incoming Shortwave Radiation,Air Pressure,Soil Temperature at depth 10 cm (loc. a)","[{'subject': 'Land surface exchange, energy budget, Sudanian vegetation, Sudanian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Ventilated Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth X cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Net Radiation', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm (loc. a)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Ventilated Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. a)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.18709/perscido.2021.09.ds334,High strain rate experiments on Colima andesite,PerSCiDo,2021,en,Dataset,,"Mechanical data of the 35 experiments done of Colima andesite samples at various strain rates. Datasets have 3 columns : time [s], strain [1] and stress [MPa].",fabrica,True,findable,0,0,0,0,0,2021-09-21T14:57:01.000Z,2021-09-21T14:57:01.000Z,inist.persyval,vcob,"Geology,FOS: Earth and related environmental sciences","[{'lang': 'en', 'subject': 'Geology'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['10 MB'],
-10.7280/d1667w,Greenland Marine-Terminating Glacier Retreat Data,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"The thinning, acceleration, and retreat of Greenland glaciers since the mid-1990s has been attributed to the enhanced intrusion of warm Atlantic Waters (AW) into fjords, but this assertion has not been quantitatively tested on a Greenland-wide basis or included in numerical models. Here, we investigate how AW influenced the retreat of 226 marine-terminating glaciers by combining ocean modeling, remote sensing, and in-situ observations. We identify 74 glaciers standing in deep fjords with warm AW that retreated when ocean warming induced a 48% increase in glacier undercutting that controlled 62% of the glacier mass loss in 1992-2017. Conversely, 27 glaciers calving on protective, shallow ridges and 24 glaciers standing in cold, shallow waters did not retreat; and 10 glaciers retreated when their floating sections collapsed. The mechanisms of ice front evolution remain undiagnosed at 87 glaciers with no ocean and bathymetry data, but these glaciers only account for 16% of the retreat. Projections of glacier evolution that exclude ocean-induced glacier undercutting may underestimate future mass losses by at least a factor two. In this dataset, we present data for 226 glaciers over the time period 1985-2017. In particular, we provide estimates of glacier geometry, ocean thermal forcing on the continental shelf and at the glacier terminus, ice velocity, ocean-induced melt, and thinning-induced retreat. Most of the data is compiled in a netCDF file for each of the 226 glaciers investigated durign the study period, with the exception of ice front boundaries for the years 1985-2019 digitized from Landsat 5, 7, and 8 imagery, which we provide in a single shapefile. In addition, we include a PDF which displays the data enclosed for each glacier.",mds,True,findable,488,63,0,2,0,2020-12-01T18:09:19.000Z,2020-12-01T18:09:21.000Z,dryad.dryad,dryad,"glacier,ice-ocean interactions,ice mass balance,ice front,ice front position,ice velocity,ice thinning,glacier melt","[{'subject': 'glacier'}, {'subject': 'ice-ocean interactions'}, {'subject': 'ice mass balance'}, {'subject': 'ice front'}, {'subject': 'ice front position'}, {'subject': 'ice velocity'}, {'subject': 'ice thinning'}, {'subject': 'glacier melt'}]",['52236257 bytes'],
-10.5281/zenodo.7855146,Modelling and simulating age-dependent pedestrian behaviour with an autonomous vehicle,Zenodo,2023,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","Video ""1_SimulationWithoutAgel"" shows the simulation before the modifications of the model and the implementation. Video ""2_SimulationWithAge"" shows the simulation after the modifications of the model and the implementation depending on the age data. Videos of the article: ""Modelling and simulating age-dependent pedestrian behaviour with an autonomous vehicle"" Abstract: In shared spaces, autonomous vehicles (AVs) will have to move efficiently and safely, without normal road signage, and with other users such as pedestrians, cyclists and drivers. To achieve this, AVs need to anticipate the behaviours of other road users in order to adapt their navigation accordingly. This paper focuses on age-related pedestrian behaviours with an autonomous vehicle. Looking at age as one of the main factors determining behaviour, a literature review is conducted. The results are used to integrate age-dependent pedestrian behaviours into a model for simulating more realistic pedestrian behaviours in shared spaces with an AV.",mds,True,findable,0,0,0,0,0,2023-04-22T13:30:38.000Z,2023-04-22T13:30:38.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.59144,fflas-ffpack: fflas-ffpack-2.2.2,Zenodo,2016,,Software,Open Access,FFLAS-FFPACK - Finite Field Linear Algebra Subroutines / Package,mds,True,findable,0,0,1,0,0,2016-07-30T18:21:24.000Z,2016-07-30T18:21:25.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_ortho-h2(34s)_rotation_2f37d6f0,Rotation excitation of ortho-H2[34S] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 45 radiative transitions / 171 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K) / 171 collisional transitions for para-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:42.000Z,2023-12-07T15:51:43.000Z,inist.osug,jbru,"target ortho-H2[34S],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2[34S]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_hm_20170912_101,Optical constants from UV to FIR for cellulose pyrolized between 400 and 1000Â°C,SSHADE/DOCCD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-04-20T13:08:28.000Z,2020-04-20T13:08:29.000Z,inist.sshade,mgeg,"laboratory,organic molecular solid,Cellulose pellet pyrolyzed at 400Â°C,Cellulose pellet pyrolyzed at 600Â°C,Cellulose pellet pyrolyzed at 800Â°C,Cellulose pellet pyrolyzed at 1000Â°C,laboratory measurement,specular reflection,macroscopic,UV,Ultraviolet,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,FIR,Far-Infrared,transmission,optical constants","[{'subject': 'laboratory'}, {'subject': 'organic molecular solid'}, {'subject': 'Cellulose pellet pyrolyzed at 400Â°C'}, {'subject': 'Cellulose pellet pyrolyzed at 600Â°C'}, {'subject': 'Cellulose pellet pyrolyzed at 800Â°C'}, {'subject': 'Cellulose pellet pyrolyzed at 1000Â°C'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'UV'}, {'subject': 'Ultraviolet'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'transmission'}, {'subject': 'optical constants'}]",['4 spectra'],['ASCII']
-10.5281/zenodo.10575611,Two-phase LES oscillatory sheet flow data,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains phase-averaged numerical data of two-phase Large-Eddy Simulations (LES) of oscillatory sheet flow configurations M512, F512, F5010, M5010, S706015m and S706015f presented in Mathieu et al. (2022) and Mathieu et al.(2024) using sedFoam (10.5281/zenodo.7944048). Details about numerical model, methods and averaging procedure can be found in the aforementioned publications.",api,True,findable,0,0,0,0,0,2024-01-27T15:21:57.000Z,2024-01-27T15:21:57.000Z,cern.zenodo,cern,"Sediment transport,Large-Eddy Simulation,Two-phase flow modelling,Oscillatory sheet flow","[{'subject': 'Sediment transport'}, {'subject': 'Large-Eddy Simulation'}, {'subject': 'Two-phase flow modelling'}, {'subject': 'Oscillatory sheet flow'}]",,
-10.26302/sshade/experiment_vc_20070129_001,Vis-NIR reflectance spectra of Iceland sand wetted with water and dried in ambiant air at 38Â°C,SSHADE/SSTONE (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","In order to investigate the spectral behavior of humidity on sand spectra, we have acquired laboratory reflectance spectra of a sand containing various proportion of water. Water was deposited on a dry sand (previously dried in an oven at 40Â°C during one night). During the experiment, the sample is then dried, under the sun at 38Â°C. A spectrum is acquired every 5 minutes with an ASD FieldSpec3FR. This experiment was done on Iceland sand",mds,True,findable,0,0,0,0,0,2023-04-22T08:30:27.000Z,2023-04-22T08:30:27.000Z,inist.sshade,mgeg,"laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance,Amorphous phase,Magnesite,Hematite,Tridymite,Quartz,Augite,Albite,Liquid water,mineral,natural terrestrial,tektosilicate,carbonate,oxide-hydroxide,inosilicate,liquid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'bidirectional reflectance', 'subjectScheme': 'var'}, {'subject': 'Amorphous phase', 'subjectScheme': 'name'}, {'subject': 'Magnesite', 'subjectScheme': 'name'}, {'subject': 'Hematite', 'subjectScheme': 'name'}, {'subject': 'Tridymite', 'subjectScheme': 'name'}, {'subject': 'Quartz', 'subjectScheme': 'name'}, {'subject': 'Augite', 'subjectScheme': 'name'}, {'subject': 'Albite', 'subjectScheme': 'name'}, {'subject': 'Liquid water', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'oxide-hydroxide', 'subjectScheme': 'compound type'}, {'subject': 'inosilicate', 'subjectScheme': 'compound type'}, {'subject': 'liquid', 'subjectScheme': 'compound type'}]",['29 spectra'],['ASCII']
-10.34847/nkl.a0db89n9,"Extraits audio Inharmonique (1977, 2019), Les cris sixiÃ¨me cercle (2019), Dans la nef de nos songes (2019), TÃªTrÃªs (2001)",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,,Sound,,,api,True,findable,0,0,0,0,0,2023-09-10T16:13:44.000Z,2023-09-10T16:13:44.000Z,inist.humanum,jbru,"Jean-Claude Risset,Composition musicale,analyse musicale","[{'lang': 'fr', 'subject': 'Jean-Claude Risset'}, {'lang': 'fr', 'subject': 'Composition musicale'}, {'lang': 'fr', 'subject': 'analyse musicale'}]","['6014630 Bytes', '2584436 Bytes', '448469 Bytes', '226950 Bytes', '10487966 Bytes', '3745840 Bytes', '8116646 Bytes', '4800736 Bytes', '350248 Bytes', '11090282 Bytes', '6877526 Bytes', '17959616 Bytes', '3605894 Bytes', '2584436 Bytes', '346069 Bytes', '484413 Bytes', '204381 Bytes']","['audio/x-wav', 'audio/x-wav', 'audio/mpeg', 'audio/mpeg', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/mpeg', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/x-wav', 'audio/mpeg', 'audio/mpeg', 'audio/mpeg']"
-10.5281/zenodo.4273949,A Schwarz iterative method to evaluate ocean- atmosphere coupling schemes. Implementation and diagnostics in IPSL-CM6-SW-VLR. GMD-2020-307,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These files are associated with an article submitted to Geoscientific Model Development (https://www.geoscientific-model-development.net) with reference GMD-2020-307 : A Schwarz iterative method to evaluate ocean- atmosphere coupling schemes. Implementation and diagnostics in IPSL-CM6-SW-VLR.<br> By Olivier Marti, SÃ©bastien Nguyen, Pascale Braconnot, Sophie Valcke, Florian LemariÃ©, and Eric Blayo It contains :<br> - The model code used for the study<br> - The model outputs used for the study<br> - The script used to produce the figures. Contact : Olivier Marti - olivier.marti@lsce.ipsl.fr",mds,True,findable,0,0,0,0,0,2020-11-15T19:21:53.000Z,2020-11-15T19:21:54.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.m905qftwt,Environmental and biotic drivers of soil microbial Î²â€diversity across spatial and phylogenetic scales,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Soil microbial communities play a key role in ecosystem functioning but still little is known about the processes that determine their turnover (Î²-diversity) along ecological gradients. Here, we characterize soil microbial Î²-diversity at two spatial scales and at multiple phylogenetic grains to ask how archaeal, bacterial and fungal communities are shaped by abiotic processes and biotic interactions with plants. We characterized microbial and plant communities using DNA metabarcoding of soil samples distributed across and within eighteen plots along an elevation gradient in the French Alps. The recovered taxa were placed onto phylogenies to estimate microbial and plant Î²-diversity at different phylogenetic grains (i.e. resolution). We then modeled microbial Î²-diversities with respect to plant Î²-diversities and environmental dissimilarities across plots (landscape scale) and with respect to plant Î²-diversities and spatial distances within plots (plot scale). At the landscape scale, fungal and archaeal Î²-diversities were mostly related to plant Î²-diversity, while bacterial Î²-diversities were mostly related to environmental dissimilarities. At the plot scale, we detected a modest covariation of bacterial and fungal Î²-diversities with plant Î²-diversity; as well as a distanceâ€“decay relationship that suggested the influence of ecological drift on microbial communities. In addition, the covariation between fungal and plant Î²-diversity at the plot scale was highest at fine or intermediate phylogenetic grains hinting that biotic interactions between those clades depends on early-evolved traits. Altogether, we show how multiple ecological processes determine soil microbial community assembly at different spatial scales and how the strength of these processes change among microbial clades. In addition, we emphasized the imprint of microbial and plant evolutionary history on todayâ€™s microbial community structure.",mds,True,findable,196,32,0,1,0,2019-10-17T18:55:29.000Z,2019-10-17T18:55:30.000Z,dryad.dryad,dryad,"bioclimate variables,Fungi phylogeny,plant phylogeny,phylogenetic scale,Archaea,Tracheophyta (vascular plants),phylogenetic beta-diversity","[{'subject': 'bioclimate variables'}, {'subject': 'Fungi phylogeny'}, {'subject': 'plant phylogeny'}, {'subject': 'phylogenetic scale'}, {'subject': 'Archaea', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Tracheophyta (vascular plants)'}, {'subject': 'phylogenetic beta-diversity'}]",['955128521 bytes'],
-10.5281/zenodo.4591774,Data from the IRAM-30m Large Program `Astrochemical Surveys At IRAM' (ASAI),Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset for the ASAI IRAM-30m Large Program (https://www.iram-institute.org/EN/content-page-344-7-158-240-344-0.html) provided in zenodo within the framework of ACO (AstroChemical Origins): (H2020 MSCA ITN, GA:811312) The reference article is Lefloch et al. 2018, Monthly Notices of the Royal Astronomical Society, Volume 477, Issue 4, p.4792-4809 whose doi is: 10.1093/mnras/sty937 Fully reduced spectral line surveys are included for 10 young stellar objects. SOURCE SAMPLE: <br> ----------------------------------------------------------------------------------------------------------------<br> Sources alpha(2000) delta(2000) rms rms rms dnu Comment <br> (3mm) (2mm) (1.3mm) kHz<br> ----------------------------------------------------------------------------------------------------------------<br> L1544 05h04m17.2s 25d10'42.8"" 2.1-7.0 - - 48.8 Evolved prestellar core<br> TMC1 04h41m41.9s 25d41'27.1"" 3.0-6.3 4.2-4.2 - 48.8, 195.3 Early prestellar core<br> B1 03h33m20.8s 31d07'34.0"" 2.5-10.6 4.4-8.0 4.2-4.6 195.3 First hydrostatic core<br> IRAS4A 03h29m10.4s 31d13'32.2"" 2.5-3.4 5.0-6.1 4.6-3.9 195.3 Class 0: Hot corino prototype<br> L1527 04h39m53.9s 26d03'11.0"" 2.1-6.7 4.2-7.1 4.6-4.1 195.3 Class 0: WCCC prototype<br> L1157mm 20h39m06.3s 68d02'15.8"" 3.0-4.7 5.0-6.5 3.8-3.5 195.3 Class 0: WCCC<br> SVS13A 03h29m03.7s 31d16'03.8"" 2.0-4.8 4.2-5.1 4.6-4.3 195.3 Class I: Hot corino<br> AB Aur 04h55m45.8s 30d33'33.0"" 4.6-4.3 4.8-3.9 2.1-4.3 195.3 Protoplanetary disk<br> L1448-R2 03h25m40.1s 30d43'31.0"" 2.8-4.9 6.0-9.7 2.9-4.9 195.3 Outflow shock spot<br> L1157-B1 20h39m10.2s 68d01'10.5"" 1.1-2.9 4.6-7.2 2.1-4.2 195.3 Outflow shock spot<br> ------------------------------------------------------------------------------------------------------------------<br> i)spectral coverage, spectral resolution, and range of rms noise achieved in an element of 1 km/s for each spectral window. <br> The rms values (in TA*) are measured in the range 86-87 GHz and 113-114 GHz at 3mm, 132-133 GHz and 169-170 GHz at 2mm, <br> 220-221 and 260-261 GHz.<br> ii) No data were obtained at 2mm and 1.3mm for L1544, at 3mm and 1.3mm for TMC1. <br> iii) Complementary observations in the band 72-80 GHz have been obtained for L1544 and protostars IRAS4A, L1527, L1157mm, <br> SVS13A. The 72-80 GHz and 106-115 GHz data of L1544 will be made available in a forthcoming release<br> iv) The data of AB Aur will be made available in a forthcoming release <br> OBSERVATIONS AND SPECTRAL COVERAGE:<br> Details about the observing procedure and the calibration can be found in the article presenting ASAI: ""Astrochemical evolution <br> along star formation: Overview of the IRAM Large Program ASAI"" (Lefloch, Bachiller et al. 2017). L1544 80.0 - 106.0 GHz TMC1 130.0 - 164.9 GHz ; gap from 161.6 to 163.0 GHz Barnard1 80.5 - 112.2 GHz <br> 130.0 - 172.7 GHz <br> 200.5 - 276.0 GHz IRAS4A 71.7 - 79.6 GHz <br> 80.5 - 112.3 GHz <br> 125.5 - 133.3 GHz <br> 130.0 - 172.8 GHz <br> 200.5 - 276.0 GHz L1527 71.7 - 79.6 GHz <br> 80.5 - 112.3 GHz <br> 125.5 - 133.3 GHz <br> 130.0 - 172.8 GHz <br> 200.5 - 276.0 GHz L1157mm 71.7 - 79.6 GHz <br> 80.5 - 112.3 GHz <br> 125.5 - 133.3 GHz <br> 130.0 - 172.8 GHz <br> 200.5 - 276.0 GHz SVS13A 71.7 - 79.6 GHz <br> 80.5 - 116.0 GHz <br> 125.5 - 133.3 GHz <br> 130.0 - 172.8 GHz <br> 200.5 - 276.0 GHz L1448-R2 80.5 - 116.0 GHz <br> 130.0 - 173.3 GHz <br> 200.5 - 276.0 GHz <br> L1157-B1 71.7 - 79.5 GHz <br> 78.0 - 118.0 GHz; fts 390 kHz res;<br> 125.5 - 133.3 GHz <br> 128.2 - 173.7 GHz <br> 200.2 - 265.5 GHz; fts 781 kHz res;<br> 260.4 - 322.1 GHz; WILMA 2 MHz res: <br> 328.4 - 350.1 GHz; WILMA 2 MHz res; The data obtained for each source are located in the corresponding subdirectory: <br> source_f1_f2.fits : calibrated spectral band in the band f1 - f2 (in GHz) <br> source_72_80.fits : complementary data in the bands 72-80 GHz whenever observed. <br> source_125_133.fits : complementary data in the band 125.5-133.5 whenever observed. <br> UNITS:<br> The line intensity are expressed in units of antenna temperature corrected for atmospheric attenuation and the coupling with <br> the sky, TA*, by default. The interested user should to the IRAM webpage http://www.iram.es/IRAMES/mainWiki/Iram30mEfficiencies <br> to convert line intensities from antenna to main-beam temperature scale. <br> QUESTIONS and ACKNOWLEDGMENTS<br> If you have any questions about the data please contact us<br> (bertrand.lefloch@univ-grenoble-alpes.fr, r.bachiller@oan.es). We also like to hear about any<br> scientific use of the data and would appreciate acknowledgment in<br> publications or talks using the ASAI data. <br>",mds,True,findable,0,0,0,0,0,2021-03-10T10:28:31.000Z,2021-03-10T10:28:32.000Z,cern.zenodo,cern,"astrochemistry, protostars, star-forming regions, prestellar cores, radio-astronomy","[{'subject': 'astrochemistry, protostars, star-forming regions, prestellar cores, radio-astronomy'}]",,
-10.48380/6fh7-7m80,Experimental alteration of ferroan brucite at temperature below 150Â°C: new thermodynamic and kinetic constaints on H2 production during ultramafic rock alteration at low temperature,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>The alteration of ferroan brucite, a common by-product of serpentinization, has been proposed as a H<sub>2</sub> source at low temperature. Here, synthetic ferroan brucite with Fe/(Fe+Mg) = 0.2 was reacted with pure water at temperatures ranging from 348 to 573 K in 29 experiments either conducted in gold capsules or in Ti-based reactors. H<sub>2</sub> production monitoring with time and characterization of the reaction products revealed the occurrence of the following reaction: 3 Fe(OH)<sub>2</sub><sup>brucite</sup> = Fe<sub>3</sub>O<sub>4</sub> + H<sub>2</sub> + 2 H<sub>2</sub>O. This reaction proceeded completely in ~ 2 months at 378 K and was thermally activated. The small grain size of the synthetic brucite (40-100 nm) was similar to observations in natural samples, and was probably responsible for the high reaction rate measured. H<sub>2</sub> production reached a plateau and Fe-bearing brucite also precipitated as a reaction product, suggesting the achievement of equilibrium. The thermodynamic properties of Fe(OH)<sub>2</sub> were refined based on the experimental dataset and differ by less than 5 % from previous estimates. However, ferroan brucite is predicted to be stable at an hydrogen activity one order of magnitude lower than previously calculated. As a result, significant H<sub>2</sub> production during ferroan brucite alteration at low temperature requires efficient fluid renewal. Such a mechanism strongly differs from olivine serpentinization which can occur even at high activity in H<sub>2</sub> and thus with limited water renewal.</p>
-",api,True,findable,0,0,0,0,0,2023-12-11T21:15:14.000Z,2023-12-11T21:15:14.000Z,mcdy.dohrmi,mcdy,,,,
-10.57745/ywbdqq,"Transcriptions des brouillons du roman ""La RÃ©ticence"" de Jean-Philippe Toussaint",Recherche Data Gouv,2022,,Dataset,,"Les brouillons tapuscrits et annotÃ©s de la RÃ©ticence (Jean-Philippe Toussaint, Ã‰ditions de minuit, 1991) ont Ã©tÃ© confiÃ© par leur auteur Ã  lâ€™UMR Litt (UMR 5316 â€“ Arts et pratiques du texte, de lâ€™image, de lâ€™Ã©cran et de la scÃ¨ne â€“ UniversitÃ© Grenoble Alpes / CNRS), sous la responsabilitÃ© scientifique de Brigitte Ferrato-Combe. RÃ©unissant la totalitÃ© des documents prÃ©paratoires du roman, depuis les premiÃ¨res notes jusquâ€™aux Ã©preuves et correspondances avec lâ€™Ã©diteur, ce fonds dâ€™archives se rÃ©vÃ¨le particuliÃ¨rement intÃ©ressant pour les Ã©tudes littÃ©raires, stylistiques ou gÃ©nÃ©tiques. Ces brouillons ont Ã©tÃ© numÃ©risÃ©s par le Service Interuniversitaire de Documentation de lâ€™UniversitÃ© Grenoble Alpes oÃ¹ ils ont Ã©tÃ© momentanÃ©ment conservÃ©s, et font lâ€™objet dâ€™une transcription sur la plateforme collaborative TACT, opÃ©ration indispensable pour leur donner une pleine lisibilitÃ© et permettre les analyses ou recherches automatiques sur le texte. Le schÃ©ma de transcription a Ã©tÃ© Ã©laborÃ© Ã  partir dâ€™XML-TEI avec des choix de balisage assez simples, qui pourront Ãªtre enrichis ultÃ©rieurement. La transcription reproduit Ã  lâ€™identique le texte tapuscrit, en respectant la mise en page (alinÃ©as, retours Ã  la ligne, saut de ligne). Les erreurs Ã©ventuelles (orthographe, syntaxe, ponctuation, fautes de frappe) ne sont pas corrigÃ©es. Les annotations manuscrites, trÃ¨s nombreuses, sont dÃ©chiffrÃ©es (dans la limite de la lisibilitÃ©) et transcrites, avec un code couleur et une police de caractÃ¨re permettant de les distinguer du texte tapÃ©. Leur situation dans la page nâ€™est pas reproduite Ã  lâ€™identique ; la diversitÃ© des emplacements a Ã©tÃ© rÃ©duite Ã  deux cas de figure : Les ajouts dont lâ€™emplacement dans le texte est clairement dÃ©fini sur le brouillon sont transcrits au point dâ€™insertion au-dessus du texte tapÃ© (mÃªme lorsque leur longueur a contraint lâ€™auteur Ã  les Ã©crire en marge et Ã  les relier par une flÃ¨che) Les annotations marginales dont lâ€™emplacement dans le texte nâ€™est pas prÃ©cisÃ© sont transcrites en bas de la page. Le balisage a Ã©tÃ© limitÃ© Ã  trois fonctions essentielles : Structuration du texte : identification du numÃ©ro figurant sur le feuillet, dÃ©limitation des paragraphes. Description prÃ©cise des ratures, dÃ©placements, soulignements, mises en relief, ajouts manuscrits.. RepÃ©rage des entitÃ©s nommÃ©es : noms propres de personne ou de lieu (Biaggi, Sasuelo, etc.) noms communs correspondants Ã  des personnages du texte (lâ€™enfant, le chat, lâ€™hÃ´telier, le pÃªcheur, etc. ). Les numÃ©risations des fac-simile sont disponibles sur lâ€™entrepÃ´t Nakala, portÃ© par la TGIR TGIR Huma-Num (lien vers lâ€™entrepÃ´t) La ressource contient aussi les feuilles de transformation XSLT qui permettent de transformer la transcription XML en HTML. Elle sont utilisÃ©es pour construire le site qui expose les fac-similÃ©s et leur transcription (exemple) ainsi que des expÃ©rimentations (exemple).",mds,True,findable,264,33,0,0,0,2022-06-22T12:23:30.000Z,2022-07-08T09:02:24.000Z,rdg.prod,rdg,,,,
-10.34847/nkl.4540o25d,"Public space geopositionned ethnographic observations for the sites Quai de plantes, Jardin extraordinaire, Rideau place Graslin, Estrade rafraichissante, Ilot frais and Parc of La Defense",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,en,Dataset,,"Jeu de donnÃ©es gÃ©ospatialisÃ©es concernant les campagnes d'observation des usages dans le cadre du projet ANR Coolscapes.
-
-Campagnes d'enquÃªte rÃ©alisÃ©es dans les Ã©tÃ©s 2020 et 2021 sur six sites : Quai des plantes (Nantes, 2020), Jardin extraordinaire (Nantes, 2020), Place Graslin avec installation Rideau sur la faÃ§ade de l'opÃ©ra (Nantes, 2020), Estrade rafraÃ®chissante sur le parvis de La DÃ©fense (Paris, 2021), Ilot frais skycooling sur le parvis de La DÃ©fense (Paris, 2021) et Parc de l'Axe de La DÃ©fense (Paris, 2021).
-
-Pour chaque site et annÃ©e d'enquÃªte, il y a 4 fichiers :
-- site_ville_annÃ©e_moving.gpkg : donnÃ©es correspondants aux flux de dÃ©placements des citadins sur format Geopackage (CRS 2154).
-- site_ville_annÃ©e_moving.csv : idem sans gÃ©olocalisation en format Comma separated values Ã  des fins statiques.
-- site_ville_annÃ©e_static.gpkg : donnÃ©es correspondants aux lieux d'activitÃ©s Ã  l'arrÃªt des citadins sur format Geopackage (CRS 2154).
-- site_ville_annÃ©e_static.csv : idem sans gÃ©olocalisation en format Comma separated values Ã  des fins statiques.
-
-Chaque entitÃ© observÃ©e est une cellule d'activitÃ©, qu'elle soit composÃ©e d'une personne ou de plusieurs.
-
-Chaque entitÃ© a Ã©tÃ© renseignÃ©e selon les attributs suivant :
-- site : appellation du site
-- survey_id : identification de l'enquÃªte
-- row_id : identification de l'entitÃ©
-- obs_type : type d'observation
-- timestamp : horodatage de l'entitÃ© en GMT +1 (Paris)
-- date : date
-- time : heure
-- X_lb93 et Y_lb93 : coordonnÃ©es spatiales en projection CRS 2154 Lambert-93, ceci est seulement renseignÃ© pour les observations statiques.
-- X_wgs84 et Y_wgs84 : coordonnÃ©es spatiales en projection CRS 4326 WGS84, ceci est seulement renseignÃ© pour les observations statiques.
-- row_total : nombre total de personnes intÃ©grant la cellule observÃ©e.
-- gender_male : nombre d'hommes
-- gender_female : nombre de femmes
-- age_mean : Ã¢ge moyen calculÃ© selon le nombre de personnes par tranche d'Ã¢ge ci-dessous
-- age_0_7 : nombre de personnes avec un Ã¢ge perÃ§u entre 0 et 7 ans (selon l'enquÃªteur)
-- age_8_17 : nombre de personnes avec un Ã¢ge perÃ§u entre 8 et 17 ans (selon l'enquÃªteur)
-- age_18_34 : nombre de personnes avec un Ã¢ge perÃ§u entre 18 et 34 ans (selon l'enquÃªteur)
-- age_35_50 : nombre de personnes avec un Ã¢ge perÃ§u entre 35 et 50 ans (selon l'enquÃªteur)
-- age_51_64 : nombre de personnes avec un Ã¢ge perÃ§u entre 51 et 64 ans (selon l'enquÃªteur)
-- age_65 : nombre de personnes avec un Ã¢ge perÃ§u supÃ©rieur Ã  65 ans (selon l'enquÃªteur)
-- posture : posture du corps prÃ©dominante dans la cellule (Tsay and Andersen, 2017)
-- engagement : forme d'interaction avec l'espace et l'effet rafraÃ®chissant supposÃ© dans l'espace
-- clothing : dÃ©grÃ©e d'habillement (selon Fanger 1974)
-- exposure : exposition au soleil
-- activity : activitÃ© (Tsay and Andersen, 2017)
-- stay_time : temps de sÃ©jours perÃ§u par l'enquÃªteur (les entitÃ©s en dÃ©placement sont par dÃ©faut entre 0 et 2 minutes)
-- geometry : identification des coordonnÃ©es de la gÃ©omÃ©trie spatiale.",api,True,findable,0,0,0,0,0,2023-04-14T15:03:47.000Z,2023-04-14T15:03:47.000Z,inist.humanum,jbru,"observation passive,rafraÃ®chissement urbain,ethnographie urbaine,Espace public,urban ethnography,Public spaces,passive activity observation,urban cooling","[{'lang': 'fr', 'subject': 'observation passive'}, {'lang': 'fr', 'subject': 'rafraÃ®chissement urbain'}, {'lang': 'fr', 'subject': 'ethnographie urbaine'}, {'lang': 'fr', 'subject': 'Espace public'}, {'lang': 'en', 'subject': 'urban ethnography'}, {'lang': 'en', 'subject': 'Public spaces'}, {'lang': 'en', 'subject': 'passive activity observation'}, {'lang': 'en', 'subject': 'urban cooling'}]","['204800 Bytes', '93258 Bytes', '299008 Bytes', '114155 Bytes', '221184 Bytes', '105863 Bytes', '131072 Bytes', '16589 Bytes', '225280 Bytes', '105233 Bytes', '278528 Bytes', '85698 Bytes', '118784 Bytes', '20414 Bytes', '114688 Bytes', '8580 Bytes', '118784 Bytes', '17355 Bytes', '163840 Bytes', '35876 Bytes', '143360 Bytes', '33617 Bytes', '122880 Bytes', '13864 Bytes']","['application/x-sqlite3', 'application/csv', 'application/x-sqlite3', 'application/csv', 'application/x-sqlite3', 'application/csv', 'application/x-sqlite3', 'application/csv', 'application/x-sqlite3', 'application/csv', 'application/x-sqlite3', 'application/csv', 'application/x-sqlite3', 'application/csv', 'application/x-sqlite3', 'application/csv', 'application/x-sqlite3', 'application/csv', 'application/x-sqlite3', 'application/csv', 'application/x-sqlite3', 'application/csv', 'application/x-sqlite3', 'application/csv']"
-10.17178/draixbleone_gal_rob_dsd_1420,"Drop Size Distribution (DSD) at the Robine station (Lat : 44,17029 ; Lon : 6,21532)",IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This DSD data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:41.000Z,2020-09-15T15:58:42.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
-10.5281/zenodo.5849861,agnpy: an open-source python package modelling the radiative processes of jetted active galactic nuclei,Zenodo,2022,,Software,Open Access,This repository contains the scripts to generate the figures included in the paper 'agnpy: an open-source python package modelling the radiative processes of jetted active galactic nuclei'.,mds,True,findable,0,0,0,1,0,2022-01-14T13:52:28.000Z,2022-01-14T13:52:29.000Z,cern.zenodo,cern,"radiative processes,blazars,radio galaxies,AGN,jets,MWL,astropy,numpy,python","[{'subject': 'radiative processes'}, {'subject': 'blazars'}, {'subject': 'radio galaxies'}, {'subject': 'AGN'}, {'subject': 'jets'}, {'subject': 'MWL'}, {'subject': 'astropy'}, {'subject': 'numpy'}, {'subject': 'python'}]",,
-10.26302/sshade/experiment_bs_20191230_011,"Near-IR bidirectional reflection spectra (i=0Â°, e=30Â°) of Volcanic tuff for 9 different grain sizes at 298K in ambient air",SSHADE/GhoSST (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Near-IR bidirectional reflection spectra (i=0Â°, e=30Â°) of Volcanic tuff for different grain sizes (&lt;25, 25-50, 50-100, 100-200, 200-280, 280-400, 400-560, 560-800, 800-1120 Âµm) at 298K in ambient air",mds,True,findable,0,0,0,0,0,2019-12-30T14:55:28.000Z,2019-12-30T14:55:28.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,tektosilicate,Anorthite,Albite,Orthoclase,Nepheline,inosilicate,Diopside,nesosilicate,Forsterite,oxide-hydroxide,Hematite,Ilmenite,physically adsorbed phase,adsorbed H2O,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'tektosilicate'}, {'subject': 'Anorthite'}, {'subject': 'Albite'}, {'subject': 'Orthoclase'}, {'subject': 'Nepheline'}, {'subject': 'inosilicate'}, {'subject': 'Diopside'}, {'subject': 'nesosilicate'}, {'subject': 'Forsterite'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hematite'}, {'subject': 'Ilmenite'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed H2O'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['9 spectra'],['ASCII']
-10.26302/sshade/bandlist_raman_norsethite,Raman bandlist of Norsethite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of Norsethite at 295K,mds,True,findable,0,0,0,0,0,2023-09-06T08:21:01.000Z,2023-09-06T08:21:01.000Z,inist.sshade,mgeg,"Norsethite,Barium cation,Magnesium(II) cation,Carbonate anion,Barium(2+) cation,Magnesium(2+) cation,22541-12-4,22537-22-0,Ba2+,Mg2+,(CO3)2-,BaMg(CO3)2,Norsethite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Norsethite group,14.02.02.01,05.AB.30,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Norsethite', 'subjectScheme': 'name'}, {'subject': 'Barium cation', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Barium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Magnesium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '22541-12-4', 'subjectScheme': 'CAS number'}, {'subject': '22537-22-0', 'subjectScheme': 'CAS number'}, {'subject': 'Ba2+', 'subjectScheme': 'formula'}, {'subject': 'Mg2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'BaMg(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'Norsethite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Norsethite group', 'subjectScheme': 'Dana group'}, {'subject': '14.02.02.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.30', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.26302/sshade/experiment_bs_20181101_001,"Vis-NIR reflectance spectra of a mix of three PAHs, PAHs mixed with CO2 snow and PAHs mixed with JSC Mars-1 simulant",SSHADE/CSS (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of a series of samples with a mix of 3 PAHs (Anthracene, Phenanthrene-d10 and Pyrene), JSC Mars-1 dust, PAHs mixed with CO2 snow with different abundances (0.1%, 0.54%, 0.67%) and 1.5% PAHs mixed with JSC Mars-1 dust",mds,True,findable,0,0,0,0,0,2021-05-25T12:01:03.000Z,2021-05-25T12:01:04.000Z,inist.sshade,mgeg,"solid,commercial,organic molecular solid,Anthracene,Phenanthrene-d10,Pyrene,laboratory,inorganic molecular solid,solid CO2,H2O ice,natural terrestrial,oxide-hydroxide,Magnetite,Ulvospinel,tektosilicate,Anorthite,nesosilicate,Olivine,Ferrihydrite,inosilicate,Augite,Orthopyroxenes,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'organic molecular solid'}, {'subject': 'Anthracene'}, {'subject': 'Phenanthrene-d10'}, {'subject': 'Pyrene'}, {'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'solid CO2'}, {'subject': 'H2O ice'}, {'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Magnetite'}, {'subject': 'Ulvospinel'}, {'subject': 'tektosilicate'}, {'subject': 'Anorthite'}, {'subject': 'nesosilicate'}, {'subject': 'Olivine'}, {'subject': 'Ferrihydrite'}, {'subject': 'inosilicate'}, {'subject': 'Augite'}, {'subject': 'Orthopyroxenes'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['21 spectra'],['ASCII']
-10.26302/sshade/experiment_sh_20050103_001,Cd K edge XAS transmission of Cd metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-25T09:18:29.000Z,2019-11-25T09:18:30.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Cd,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Cd'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.7507112,Adversarial Reachability for Program-level Security Analysis (artifact),Zenodo,2023,en,Software,"GNU General Public License v2.0 or later,Open Access","Many program analysis tools and techniques have been developed to assess program vulnerability. Yet, they are based on the standard concept of reachability and represent an attacker able to craft smart legitimate input, while in practice attackers can be much more powerful, using for instance micro-architectural exploits or fault injection methods.<br> We introduce adversarial reachability, a framework allowing to reason about such advanced attackers and check whether a system is vulnerable or immune to a particular attacker. As equipping the attacker with new capacities significantly increases the state space of the program under analysis, we present a new symbolic exploration algorithm, namely adversarial symbolic execution, injecting faults in a forkless manner to prevent path explosion, together with optimizations dedicated to reduce the number of injections to consider while keeping the same attacker power. Experiments on representative benchmarks from fault injection show that our method significantly reduces the number of adversarial paths to explore, allowing to scale up to 10 faults where prior work timeout for 3 faults. In addition, we analyze the well-tested WooKey's bootloader, and demonstrate the ability of our analysis to find attacks and evaluate countermeasures in real-life security scenarios. We were especially able to find a new attack on an incomplete patch.",mds,True,findable,0,0,0,0,0,2023-01-05T17:41:05.000Z,2023-01-05T17:41:05.000Z,cern.zenodo,cern,"Program analysis,Attacker model,Fault injection,Symbolic execution","[{'subject': 'Program analysis'}, {'subject': 'Attacker model'}, {'subject': 'Fault injection'}, {'subject': 'Symbolic execution'}]",,
-10.26302/sshade/experiment_ik_20180418_001,Ce L3 edge XAS HERFD of CeO2 (nanos) at 10K,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:10:39.000Z,2019-12-05T14:10:39.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,oxide,CeO2,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'oxide'}, {'subject': 'CeO2'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.10005439,"Data for the paper: ""Simulating a Multi-Layered Grid Middleware""",Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Associated paper: https://hal.science/hal-04101015
-Repo here",api,True,findable,0,0,0,0,0,2023-10-15T22:47:26.000Z,2023-10-15T22:47:26.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3715652,Learn2Reg - The Challenge,Zenodo,2020,,Other,"Creative Commons Attribution No Derivatives 4.0 International,Open Access","This is the challenge design document for ""Learn2Reg - The Challenge"", accepted for MICCAI 2020. Medical image registration plays a very important role in improving clinical workflows, computer-assisted interventions and diagnosis as well as for research studies involving e.g. morphological analysis. Besides ongoing research into new concepts for optimisation, similarity metrics and deformation models, deep learning for medical registration is currently starting to show promising advances that could improve the robustness, computation speed and accuracy of conventional algorithms to enable better practical translation. Nevertheless, there exists no commonly used benchmark dataset to compare state-of-the-art learning based registration among another and with their conventional (not trained) counterparts. With few exceptions (CuRIOUS at MICCAI 2018/2019 and the Continuous Registration Challenge at WBIR 2018) there has also been no comprehensive registration challenge covering different anatomical structures and evaluation metrics. We also believe that the entry barrier for new teams to contribute to this emerging field are higher than e.g. for segmentation, where standardised datasets (e.g. Medical Decathlon, BraTS) are easily available. In contrast, many registration tasks, require resampling from different voxel spacings, affine pre-registration and can lead to ambiguous and error-prone evaluation of whole deformation fields. <br> We propose a simplified challenge design that removes many of the common pitfalls for learning and applying transformations. We will provide pre-preprocessed data (resample, crop, pre-align, etc.) that can be directly employed by most conventional and learning frameworks. Only displacement fields in voxel dimensions in a standard orientation will have to be provided by participants and python code to test their application to training data will be provided as open-source along with all evaluation metrics. Our challenge will consist of 4 clinically relevant sub-tasks (datasets) that are complementary in nature. They can either be individually or comprehensively addressed by participants and cover both intra- and inter-patient alignment, CT, ultrasound and MRI modalities, neuro-, thorax and abdominal anatomies and the four of the imminent challenges of medical image registration: learning from small datasets estimating large deformations dealing with multi-modal scans learning from noisy annotations An important aspect of challenges are comprehensive and fair evaluation criteria. Since, medical image registration is not limited to accurately and robustly transferring anatomical annotations but should also provide plausible deformations, we will incorporate a measure of transformation complexity (the standard deviation of local volume change defined by the Jacobian determinant of the deformation). To encourage the submission of learning based approaches that reduce the computational burden of image registration, the run-time computation time will also be included into the ranking by awarding extra points. Due to differences in hardware, the computation time (including all steps of the employed pipeline) will be measured by running algorithms on the grand-challenge.org evaluation platform (where the whole challenge will be hosted) with the potential of using Nvidia GPU backends (this will not be a strict requirement for participants).",mds,True,findable,112,0,0,0,0,2020-03-19T07:40:10.000Z,2020-03-19T07:40:11.000Z,cern.zenodo,cern,"MICCAI Challenges,Biomedical Challenges,MICCAI,Registration,Brain,Thorax,Abdomen,Deformable,Multimodal,Realtime","[{'subject': 'MICCAI Challenges'}, {'subject': 'Biomedical Challenges'}, {'subject': 'MICCAI'}, {'subject': 'Registration'}, {'subject': 'Brain'}, {'subject': 'Thorax'}, {'subject': 'Abdomen'}, {'subject': 'Deformable'}, {'subject': 'Multimodal'}, {'subject': 'Realtime'}]",,
-10.5061/dryad.8cz8w9gqs,Can functional genomic diversity provide novel insights into mechanisms of community assembly? A pilot-study from an invaded alpine streambed,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"An important focus of community ecology, including invasion biology, is to investigate functional trait diversity patterns to disentangle the effects of environmental and biotic interactions. However, a notable limitation is that studies usually rely on a small and easy to measure set of functional traits, which might not immediately reflect ongoing ecological responses to changing abiotic or biotic conditions, including those that occur at a molecular or physiological level. We explored the potential of using the diversity of expressed genesâ€”functional genomic diversity (FGD)â€”to understand ecological dynamics of a recent and ongoing alpine invasion. We quantified FGD based on transcriptome data measured for 26 plant species occurring along adjacent invaded and pristine streambeds. We used an RNA-seq approach to summarize the overall number of expressed transcripts and their annotations to functional categories, and contrasted this with functional trait diversity (FTD) measured from a suite of characters that have been traditionally considered in plant ecology. We found greater FGD and FTD in the invaded community, independent of differences in species richness. However, the magnitude of functional dispersion was greater from the perspective of FGD than from FTD. Comparing FGD between congeneric alien-native species pairs, we did not find many significant differences in the proportion of genes whose annotations matched functional categories. Still, native species with a greater relative abundance in the invaded community compared with the pristine tended to express a greater fraction of genes at significant levels in the invaded community, suggesting that changes in FGD may relate to shifts in community composition. Comparisons of diversity patterns from the community- to the species-level offer complementary insights into processes and mechanisms driving invasion dynamics. FGD has the potential to illuminate cryptic changes in ecological diversity, and we foresee promising avenues for future extensions across taxonomic levels and macro-ecosystems.",mds,True,findable,127,3,0,0,0,2021-07-22T01:16:51.000Z,2021-07-22T01:16:53.000Z,dryad.dryad,dryad,,,['1658389762 bytes'],
-10.5061/dryad.9kd51c5q1,Raw sequencing data and ngsfilters for snow track eDNA samples,Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"Continued advancements in environmental DNA (eDNA) research have made it possible to access intraspecific variation from eDNA samples, opening new opportunities to expand non-invasive genetic studies of wildlife populations. However, the use of eDNA samples for individual genotyping, as typically performed in non-invasive genetics, still remains elusive. We present the first successful individual genotyping of eDNA obtained from snow tracks of three large carnivores: brown bear (Ursus arctos), European lynx (Lynx lynx) and wolf (Canis lupus). DNA was extracted using a protocol for isolating water eDNA and genotyped using amplicon sequencing of short tandem repeats (STR) and, for brown bear, a sex marker, on a high-throughput sequencing platform. Individual genotypes were obtained for all species, but genotyping performance differed among samples and species. The proportion of samples genotyped to individuals was higher for brown bear samples (5/7) than for wolf (7/10) and lynx (4/9), but locus genotyping success was greater for brown bear (0.88). Results for three species show that reliable individual genotyping, including sex identification, is now possible from eDNA in snow tracks, underlining its vast potential to complement the non-invasive genetic methods used for wildlife. To fully leverage the application of snow track eDNA, improved understanding of the ideal species- and site-specific sampling conditions, as well as laboratory methods promoting genotyping success are needed. This will also inform efforts to retrieve and type nuclear DNA from other eDNA samples, thereby advancing eDNAâ€“based individual and population-level studies.",mds,True,findable,52,5,0,0,0,2023-11-09T18:55:11.000Z,2023-11-09T18:55:12.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,eDNA-based population studies,high-throughput STR genotyping by sequencing,individual identification,large carnivores,non-invasive genetics,snow track sampling","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'eDNA-based population studies'}, {'subject': 'high-throughput STR genotyping by sequencing'}, {'subject': 'individual identification'}, {'subject': 'large carnivores'}, {'subject': 'non-invasive genetics'}, {'subject': 'snow track sampling'}]",['10743439525 bytes'],
-10.26302/sshade/experiment_op_20180115_005,Br K edge XAS transmission and HERFD of cesium bromide anydrous salt at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-10-29T16:53:10.000Z,2020-11-02T16:12:58.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,bromide,Cesium bromide anydrous salt,laboratory measurement,transmission,None,hard X,hard X-rays,fluorescence emission","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'bromide'}, {'subject': 'Cesium bromide anydrous salt'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'fluorescence emission'}]",['2 spectra'],['ASCII']
-10.57745/z3bg2u,Electrical measurement of the spin Hall effect isotropy in ferromagnets with strong spin-orbit interactions,Recherche Data Gouv,2023,,Dataset,,"Data set of the paper : Electrical measurement of the spin Hall effect isotropy in ferromagnets with strong spin-orbit interactions. This includes anisotropic magnetoresistance, spin signal and spin Hall effect, along with their temperature dependance, measured on NiCu and NiPd alloys.",mds,True,findable,51,0,0,0,0,2022-12-08T16:00:42.000Z,2023-03-14T13:34:43.000Z,rdg.prod,rdg,,,,
-10.17178/emaa_ortho-h2o_rotation_0d2ed16f,Rotation excitation of ortho-H2O by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",45 rotation energy levels / 124 radiative transitions / 990 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:37.000Z,2022-02-07T11:25:38.000Z,inist.osug,jbru,"target ortho-H2O,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2O', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5061/dryad.3ffbg79pv,National forest inventory data for a size-structured forest population model,Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"In forest communities, light competition is a key process for community assembly. Species' differences in seedling and sapling tolerance to shade cast by overstory trees is thought to determine species composition at late-successional stages. Most forests are distant from these late-successional equilibria, impeding a formal evaluation of their potential species composition. To extrapolate competitive equilibria from short-term data, we therefore introduce the JAB model, a parsimonious dynamic model with interacting size-structured populations, which focuses on sapling demography including the tolerance to overstory competition. We apply the JAB model to a two-""species"" system from temperate European forests, i.e. the shade-tolerant species Fagus sylvatica L. and the group of all other competing species. Using Bayesian calibration with prior information from external Slovakian national forest inventory (NFI) data, we fit the JAB model to short timeseries from the German NFI. We use the posterior estimates of demographic rates to extrapolate that F. sylvatica will be the predominant species in 94% of the competitive equilibria, despite only predominating in 24% of the initial states. We further simulate counterfactual equilibria with parameters switched between species to assess the role of different demographic processes for competitive equilibria. These simulations confirm the hypothesis that the higher shade-tolerance of F. sylvatica saplings is key for its long-term predominance. Our results highlight the importance of demographic differences in early life stages for tree species assembly in forest communities.",mds,True,findable,122,10,0,0,0,2023-06-21T08:35:58.000Z,2023-06-21T08:35:59.000Z,dryad.dryad,dryad,"FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences,NFI,National Forest Inventory,Fagus sylvatica,JAB model","[{'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'NFI'}, {'subject': 'National Forest Inventory'}, {'subject': 'Fagus sylvatica'}, {'subject': 'JAB model'}]",['48025574 bytes'],
-10.6084/m9.figshare.23575384,Additional file 9 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authorsâ€™ original file for figure 8,mds,True,findable,0,0,0,0,0,2023-06-25T03:12:00.000Z,2023-06-25T03:12:01.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['87040 Bytes'],
-10.6084/m9.figshare.12452300,Additional file 1 of Mucormycosis in intensive care unit: surgery is a major prognostic factor in patients with hematological malignancy,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Table S1. Demographic characteristics of patients with hematological disease. Table S2. Characteristics of the infection of patients with hematological disease at ICU admission. Table S3. Characteristics of ICU management of patients with hematological disease.,mds,True,findable,0,0,34,0,0,2020-06-09T08:11:33.000Z,2020-06-09T08:11:34.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Biotechnology,Biological Sciences not elsewhere classified,Cancer,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['33721 Bytes'],
-10.5281/zenodo.5999123,braidHymo: Morphometric indices for braided rivers.,Zenodo,2021,en,Software,Open Access,The package braidHymo allows to calculate two morphometrics indices that can be applied to braided rivers: the Bed Relief Index (BRI*) and the W* (normalised active channel width). Two datasets are included in the package to help and visualise the indices calculation. - - - Le package braidHymo permet de calculer deux indices morphomÃ©triques qui peuvent Ãªtre appliquÃ©s aux riviÃ¨res en tresses : le Bed Relief Index (Indice du relief du lit ou BRI*) et le W* (largeur de la bande active normalisÃ©). Deux tableaux de donnÃ©es sont inclus dans le package pour aider et visualiser le calcul des indices.,mds,True,findable,0,0,0,0,0,2022-02-07T19:15:06.000Z,2022-02-07T19:15:07.000Z,cern.zenodo,cern,"Morphometric indices, braided rivers, BRI*, W*, R","[{'subject': 'Morphometric indices, braided rivers, BRI*, W*, R'}]",,
-10.5281/zenodo.4118790,Inducing micromechanical motion by optical excitation of a single quantum dot - experimental data and evaluation scripts,Zenodo,2020,en,Other,"Creative Commons Attribution 4.0 International,Open Access","This data set contains the raw data and the evaluation scripts applied to obtain the results published in ""Inducing micromechanical motion by optical excitation of a single quantum dot"". For details of the experimental procedure please refer to the main text of the article, as well as the supplementary information. The main archive (.zip) contains three Python / Jupyter notebooks: `cand3_modeV_induced_motion.ipynb` contains the analysis of the main results `cand3_modeV_optomechanical_coupling.ipynb` contains an analysis of the opto-mechanical coupling `cand3_modeV_thermal_motion.ipynb`contains an analysis of the thermal motion and effective mass Plots and data that were shown in the main text and supplementary information are written to a subfolder `exports`. Further subfolders contain the evaluated raw data. Two programs have been used to create the raw data. `LabOne` by Zurich Instruments has been used to acquire lock-in data from the micro-mechanical oscillator, as well as resonance-fluorescence data from the quantum dot. The data has been stored as comma separated values in (.csv).<br> Additional data, i.e, the gradient for the optical mechanical motion detection, as well as photo-luminescence spectra of the quantum dot, have been acquired by a selfmade python software `LABCO`. This data has also been stored as comma separeted values (.csv). All scripts were written using Python 3.6.9, and evaluated in Jupyter using IPython 5.5.0. The following non-standard packages (all available through pypi.org) were used during the evaluation: `lmfit` 0.9.7 `matplotlib`2.1.1 `numpy` 1.13.3",mds,True,findable,0,0,1,0,0,2020-10-22T21:33:01.000Z,2020-10-22T21:33:03.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4574537,"The 2020 eruption and the large lateral dike emplacement at Taal volcano, Philippines: Insights from radar satellite data",Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","ALOS2_A138.zip : ALOS-2 ascending track 138 unwrapped, coherence, and baseline files covering Taal volcano, Philippines from 18 September 2018 to 10 December 2019. ALOS2_D027.zip: ALOS-2 descending track 27 unwrapped, coherence, and baseline files covering Taal volcano, Philippines from 102 December 2018 to 12 January 2020.",mds,True,findable,0,0,0,0,0,2021-03-02T22:56:44.000Z,2021-03-02T22:56:45.000Z,cern.zenodo,cern,"InSAR,Taal volcano","[{'subject': 'InSAR'}, {'subject': 'Taal volcano'}]",,
-10.26302/sshade/experiment_sb_20210219_001,Optical constants of Mg-Fe sulfides in MIR/FIR,SSHADE/DOCCD (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-03-24T13:39:33.000Z,2021-03-24T13:39:34.000Z,inist.sshade,mgeg,"laboratory,sulfide,Mg$_{0.2}$Fe$_{0.8}$S,FeS,Mg$_{0.41}$Fe$_{0.59}$S,Mg$_{0.79}$Fe$_{0.21}$S,Mg$_{0.94}$Fe$_{0.06}$S,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'sulfide'}, {'subject': 'Mg$_{0.2}$Fe$_{0.8}$S'}, {'subject': 'FeS'}, {'subject': 'Mg$_{0.41}$Fe$_{0.59}$S'}, {'subject': 'Mg$_{0.79}$Fe$_{0.21}$S'}, {'subject': 'Mg$_{0.94}$Fe$_{0.06}$S'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['5 spectra'],['ASCII']
-10.26302/sshade/bandlist_raman_gaspeite,Raman bandlist of natural Gaspeite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Gaspeite at 295K,mds,True,findable,0,0,0,0,0,2023-08-14T21:37:40.000Z,2023-08-14T21:37:41.000Z,inist.sshade,mgeg,"Gaspeite,Nickel cation,Carbonate anion,Nickel(2+) cation,14701-22-5,Ni2+,(CO3)2-,NiCO3,Gaspeite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Calcite group (Trigonal: R-3c),14.01.01.08,05.AB.05,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Gaspeite', 'subjectScheme': 'name'}, {'subject': 'Nickel cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Nickel(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '14701-22-5', 'subjectScheme': 'CAS number'}, {'subject': 'Ni2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'NiCO3', 'subjectScheme': 'formula'}, {'subject': 'Gaspeite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Calcite group (Trigonal: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.01.08', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5281/zenodo.7057257,Companion data of Multi-Phase Task-Based HPC Applications: Quickly Learning how to Run Fast,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the companion data repository for the paper entitled <strong>Multi-Phase Task-Based HPC Applications: Quickly Learning how to Run Fast</strong> by Lucas Leandro Nesi, Lucas Mello Schnorr, and Arnaud Legrand. The manuscript has been accepted for publication in the IPDPS 2022.",mds,True,findable,0,0,0,0,0,2022-09-07T12:02:35.000Z,2022-09-07T12:02:36.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6674852,Biogenic signals from plastids and their role in chloroplast development,Zenodo,2022,,Dataset,Restricted Access,"<strong>Chloroplast Defective Mutants</strong> The mutant collection was done starting from the Myouga et al (2013) chloroplast database. All the genes in their list were confirmed or removed, depending on the updated and available information in literature.<br> Genes not present in the Myouga database were taken from literature, based on the tables from the two publications from Tadini et al (2020). Additional genes were searched in the literature. Table structure. Detailed information for the mutant characterisation were taken from the main plant databases (TAIR and UniProt) and the corresponding literature.<br> The table is structured in a way to give an insight into the molecular function of the gene and a description of the mutant phenotype (for both if information was available).<br> The worksheet ""Chloroplast Defective Mutants"" contains all the mutants sorted by locus.<br> The worksheet ""Mutants included in Fig.1"" depicts all mutants with impairment in essential processes for chloroplast biogenesis and their phenotype is schematically represented with coloured squares in Figure 1.<br> The last worksheet contains the pie charts, in which the impacts of the main biological functions on the phenotype are visualized. References: -Myouga F, Akiyama K, Tomonaga Y, Kato A, Sato Y, Kobayashi M, Nagata N, Sakurai T, Shinozaki K. The Chloroplast Function Database II: a comprehensive collection of homozygous mutants and their phenotypic/genotypic traits for nuclear-encoded chloroplast proteins. Plant Cell Physiol (2013) http://di.org/0.1093/pcp/pcs171<br> -Tadini L, Jeran N and Pesaresi P, GUN1 and Plastid RNA Metabolism: Learning from Genetics. Cells (2020), 9(10), 2307; https://doi.org/10.3390/cells9102307<br> -Tadini L, Jeran N, Peracchio C, Masiero S, Colombo M and Pesaresi P, The plastid transcription machinery and its coordination with the expression of nuclear genome: Plastid-Encoded Polymerase, Nuclear-Encoded Polymerase and the Genomes Uncoupled 1-mediated retrograde communication. Phil. Trans. R. Soc. (2020) http://doi.org/10.1098/rstb.2019.0399",mds,True,findable,0,0,0,0,0,2022-08-08T07:56:10.000Z,2022-08-08T07:56:10.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7890462,Hydrological Response of Andean Catchments to Recent Glacier Mass Loss (data),Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Data related to the article in review (The Cryosphere journal),mds,True,findable,0,0,0,0,0,2023-05-03T10:31:42.000Z,2023-05-03T10:31:43.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5145755,Functionally distinct tree species support long-term productivity in extreme environments,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset used for the article ""Functionally distinct tree species support long-term productivity in extreme environments"", submitted to <em>Proceedings of the Royal society B</em>. Contains raw output of simulations performed with the ForCEEPS forest gap model (http://capsis.cirad.fr/capsis/help_en/forceeps). For a description of the simulations performed and the dataset, see the associated GitHub (https://github.com/LDelalandre/Project-1_Distinct-sp_BEF) and the article. Simulations are grouped in 11 folders corresponding to the 11 environmental conditions used for simulating community dynamics. Subfolders group outputs by species richness gradients (30 random orders, plus ""decreasing"" order, which is from the most functionally distinct to the least functioonally distinct species, and ""increasing, which is the other way around, and monocultures). For each species richness level (from 1: all the species, to 30, the last species of the richness gradient), four different files were generated: - biomass data: 'complete' (every individual); 'mean' (aggregated at the community level each year); - productivity data: productivity (every individual); productitity_scene (aggregated at the species level each year).",mds,True,findable,0,0,0,0,0,2021-07-29T13:11:47.000Z,2021-07-29T13:11:48.000Z,cern.zenodo,cern,Functional rarity; Functional distinctiveness; Biodiversity and ecosystem functioning; Productivity; Virtual ecology; Forest gap model,[{'subject': 'Functional rarity; Functional distinctiveness; Biodiversity and ecosystem functioning; Productivity; Virtual ecology; Forest gap model'}],,
-10.17632/s62jkk3fkt.1,ACTi graphs: Datasets of physiological experiments associated with measurement on stress and energy expenditure,Mendeley Data,2023,,Dataset,Creative Commons Attribution 4.0 International,"The database presented combines the data from the ActiGraphs worn by the test participants. During these tests, the participants wore three ActiGraphs placed on their ankle, waist and wrist. The published data is pre-processed data that has been processed in the ActiLife software. This database made it possible to compare energy expenditure with the number of mistakes made and with the participants' perception of stress. The data is divided into folders, with each folder referring to a participant. Within each participant folder there are three folders and a file. Each folder stores the pre-processed data from the ACTiGraphs and is divided by the body zones where the sensors are placed (ankle, waist and wrist). The ""performance.xlsx"" file details the participant's performance during the test. The pre-processed ACTiGraphs files show the counts of the sensor axis. These counts are calculated by the ACTiLife software, and the method of calculation is something that the company does not make public. There is also other information in these files, such as the indication of inclinometers and step counts, data that was not used in this study. The ""performace.xlsx"" file describes the conditions and results of the tasks that each participant had to carry out. It details the start and end time of each task, the number of errors made while performing the task, and the environmental and noise conditions (""Temperature"" and ""Noise""). This file also records the answers to a stress questionnaire that was applied at the end of each task. This questionnaire can be found in the attached documents under ""Stress Questionnaire.pdf"".",api,True,findable,0,0,0,0,0,2023-11-16T02:41:13.000Z,2023-11-16T02:41:14.000Z,bl.mendeley,elsevier,"Ergonomics,Occupational Stress,Physical Stress,Perceived Stress","[{'subject': 'Ergonomics'}, {'subject': 'Occupational Stress'}, {'subject': 'Physical Stress'}, {'subject': 'Perceived Stress'}]",,
-10.17178/zaa_soil_temp.gloria,Long term monitoring of near surface soil temperature in the GLORIA site Fr-AME,UGA â€“ OSUG â€“ CNRS,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature on high summits. Data is part of the long-term monitoring program GLORIA https://gloria.ac.at/home and correspond to the FR-AME site located in Mercantour. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in Â°C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:37.000Z,2021-07-13T13:43:39.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.5061/dryad.brv15dvcj,The generality of cryptic dietary niche differences in diverse large-herbivore assemblages,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Ecological niche differences are necessary for stable species coexistence but are often difficult to discern. Models of dietary niche differentiation in large mammalian herbivores invoke the quality, quantity, and spatiotemporal distribution of plant tissues and growth-forms but are agnostic towards food-plant species identity. Empirical support for these models is variable, suggesting that additional mechanisms of resource partitioning may be important in sustaining large-herbivore diversity in African savannas. We used DNA metabarcoding to conduct a taxonomically explicit analysis of large-herbivore diets across southeastern Africa, analyzing ~4,000 fecal samples of 30 species from 10 sites in 7 countries over 6 years. We detected 893 food-plant taxa from 124 families, but just two familiesâ€”grasses and legumesâ€”accounted for the majority of herbivore diets. Nonetheless, herbivore species almost invariably partitioned food-plant taxa; diet composition differed significantly in 97% of pairwise comparisons between sympatric species, and dissimilarity was pronounced even between the strictest grazers (grass eaters), strictest browsers (non-grass eaters), and closest relatives at each site. Niche differentiation was weakest in an ecosystem recovering from catastrophic defaunation, indicating that food-plant partitioning is driven by species interactions, and stronger at low rainfall, as expected if interspecific competition is a predominant driver. Diets differed more between browsers than grazers, which predictably shaped community organization: grazer-dominated trophic networks had higher nestedness and lower modularity. That dietary differentiation is structured along taxonomic lines complements prior work on how herbivores partition plant parts and patches and suggests that common mechanisms govern herbivore coexistence and community assembly in savannas.",mds,True,findable,257,50,0,1,0,2022-08-08T16:58:42.000Z,2022-08-08T16:58:43.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,African savannas,large herbivores,food webs,Resource partitioning,dietary niche,niche partitioning,species coextistence,optimal foraging,niche differences,niche differentiation,DNA metabarcoding,DNA barcoding,fecal samples,ecological networks,ecological network analysis,African ungulates,African elephant (Loxodonta africana),dik-dik (Madoqua guentheri),klipspringer (Oreotragus oreotragus),common duiker (Sylvicapra grimmia),oribi (Ourebia ourebi),Thomson's gazelle (Eudorcas thomsonii),Cape bushbuck (Tragelaphus sylvaticus),impala (Aepyceros melampus),Grant's gazelle (Nanger grant),southern reedbuck (Redunca aurundinum),puku (Kobus vardonii),warthog (Phacochoerus africanus),nyala (Tragelaphus angasii),topi (Damaliscus lunatus),bushpig (Potamochoerus larvatus),Hartebeest (Alcelaphus buselaphus),blue wildebeest (Connochaetes taurinus),East African oryx (Oryx beisa),waterbuck (Kobus ellipsiprymnus),greater kudu (Tragelaphus strepsiceros),sable antelope (Hippotragus niger),roan antelope (Hippotragus equinus),plains zebra (Equus quagga),Grevy's zebra (Equus grevyi),common eland (Tragelaphus oryx),Cape buffalo (Syncerus caffer),giraffe (Giraffa camelopardalis),black rhinoceros (Diceros bicornis),hippopotamus (Hippopotamus amphibius),white rhinoceros (Ceratotherium simum),Mpala Research Center,Laikipia,Kenya,Serengeti-Mara Ecosystem,Serengeti National Park,Nyika National Park,Tanzania,Malawi,Niassa National Reserve,Mozambique,Hwange National Park,Zimbabwe,Kafue National Park,Zambia,Gorongosa National Park,Kruger National Park,South Africa,Addo Elephant National Park,Modern coexistence theory,Species interactions,competition,diet selection,grasses (Poaceae),legumes (Fabaceae),grazing mammals,browsing mammals,mixed feeders,environmental DNA sequencing (eDNA sequencing),taxonomic dietary diversity,dietary plasticity,Food-web structure,network rewiring,nestedness and modularity,functional redundancy,functional complementarity,rangelands","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'African savannas'}, {'subject': 'large herbivores'}, {'subject': 'food webs'}, {'subject': 'Resource partitioning'}, {'subject': 'dietary niche'}, {'subject': 'niche partitioning'}, {'subject': 'species coextistence'}, {'subject': 'optimal foraging'}, {'subject': 'niche differences'}, {'subject': 'niche differentiation'}, {'subject': 'DNA metabarcoding'}, {'subject': 'DNA barcoding', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'fecal samples'}, {'subject': 'ecological networks'}, {'subject': 'ecological network analysis'}, {'subject': 'African ungulates'}, {'subject': 'African elephant (Loxodonta africana)'}, {'subject': 'dik-dik (Madoqua guentheri)'}, {'subject': 'klipspringer (Oreotragus oreotragus)'}, {'subject': 'common duiker (Sylvicapra grimmia)'}, {'subject': 'oribi (Ourebia ourebi)'}, {'subject': ""Thomson's gazelle (Eudorcas thomsonii)""}, {'subject': 'Cape bushbuck (Tragelaphus sylvaticus)'}, {'subject': 'impala (Aepyceros melampus)'}, {'subject': ""Grant's gazelle (Nanger grant)""}, {'subject': 'southern reedbuck (Redunca aurundinum)'}, {'subject': 'puku (Kobus vardonii)'}, {'subject': 'warthog (Phacochoerus africanus)'}, {'subject': 'nyala (Tragelaphus angasii)'}, {'subject': 'topi (Damaliscus lunatus)'}, {'subject': 'bushpig (Potamochoerus larvatus)'}, {'subject': 'Hartebeest (Alcelaphus buselaphus)'}, {'subject': 'blue wildebeest (Connochaetes taurinus)'}, {'subject': 'East African oryx (Oryx beisa)'}, {'subject': 'waterbuck (Kobus ellipsiprymnus)'}, {'subject': 'greater kudu (Tragelaphus strepsiceros)'}, {'subject': 'sable antelope (Hippotragus niger)'}, {'subject': 'roan antelope (Hippotragus equinus)'}, {'subject': 'plains zebra (Equus quagga)'}, {'subject': ""Grevy's zebra (Equus grevyi)""}, {'subject': 'common eland (Tragelaphus oryx)'}, {'subject': 'Cape buffalo (Syncerus caffer)'}, {'subject': 'giraffe (Giraffa camelopardalis)'}, {'subject': 'black rhinoceros (Diceros bicornis)'}, {'subject': 'hippopotamus (Hippopotamus amphibius)'}, {'subject': 'white rhinoceros (Ceratotherium simum)'}, {'subject': 'Mpala Research Center'}, {'subject': 'Laikipia'}, {'subject': 'Kenya', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Serengeti-Mara Ecosystem'}, {'subject': 'Serengeti National Park'}, {'subject': 'Nyika National Park'}, {'subject': 'Tanzania', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Malawi', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Niassa National Reserve'}, {'subject': 'Mozambique', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Hwange National Park'}, {'subject': 'Zimbabwe', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Kafue National Park'}, {'subject': 'Zambia', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Gorongosa National Park'}, {'subject': 'Kruger National Park'}, {'subject': 'South Africa', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Addo Elephant National Park'}, {'subject': 'Modern coexistence theory'}, {'subject': 'Species interactions', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'competition'}, {'subject': 'diet selection'}, {'subject': 'grasses (Poaceae)'}, {'subject': 'legumes (Fabaceae)'}, {'subject': 'grazing mammals'}, {'subject': 'browsing mammals'}, {'subject': 'mixed feeders'}, {'subject': 'environmental DNA sequencing (eDNA sequencing)'}, {'subject': 'taxonomic dietary diversity'}, {'subject': 'dietary plasticity'}, {'subject': 'Food-web structure'}, {'subject': 'network rewiring'}, {'subject': 'nestedness and modularity'}, {'subject': 'functional redundancy'}, {'subject': 'functional complementarity'}, {'subject': 'rangelands'}]",['465555599 bytes'],
-10.26302/sshade/experiment_bs_20200814_100,"Vis-NIR reflectance spectra of Pierrerue pigments (PIG_0176_A): raw blocks, powders, plots and painted matter",SSHADE/PIG (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of Pierrerue pigments (PIG_0176_A) 1 raw blocks and 1 sawn (2 faces each), as powders with grain sizes &lt; 160 Âµm (2 densities: 1.24 and 1.33), as a polished plot, and a painted matter on limestone",mds,True,findable,0,0,0,0,0,2021-05-09T20:23:41.000Z,2021-05-09T20:23:42.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,carbonate,limestone,oxide-hydroxide,Hematite,phyllosilicate,Kaolinite,Calcite,Goethite,TiO2,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'carbonate'}, {'subject': 'limestone'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hematite'}, {'subject': 'phyllosilicate'}, {'subject': 'Kaolinite'}, {'subject': 'Calcite'}, {'subject': 'Goethite'}, {'subject': 'TiO2'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['8 spectra'],['ASCII']
-10.5281/zenodo.7464081,"Open data for ""Programmable frequency-bin quantum states in a nano-engineered silicon device""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The folder includes includes the raw data that were used for generation of all Figures in the paper ""Programmable frequency-bin quantum states in a nano-engineered silicon device"".",mds,True,findable,0,0,0,0,0,2022-12-20T15:03:11.000Z,2022-12-20T15:03:12.000Z,cern.zenodo,cern,"Quantum Optics,Quantum Photonics,Integrated Optics,Frequency-bin entanglement,Quantum Technologies","[{'subject': 'Quantum Optics'}, {'subject': 'Quantum Photonics'}, {'subject': 'Integrated Optics'}, {'subject': 'Frequency-bin entanglement'}, {'subject': 'Quantum Technologies'}]",,
-10.26302/sshade/experiment_dt_20170706_004,Fe K edge XAS transmission of natural hedenbergite CaFeSi2O6 at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:50:06.000Z,2019-12-05T13:50:21.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,natural terrestrial,inosilicate,Natural hedenbergite,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'natural terrestrial'}, {'subject': 'inosilicate'}, {'subject': 'Natural hedenbergite'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.18709/perscido.2017.11.ds185,Sparse Integer Matrices Collection,PerSciDo,2019,en,Dataset,Creative Commons Attribution Share Alike 4.0 International,"Collection of matrices used in exact computations. Most of them are sparse with integral or modular coefficients, some have rational or polynomial entries.",fabrica,True,findable,0,0,0,1,0,2019-03-14T16:33:23.000Z,2019-03-14T16:33:23.000Z,inist.persyval,vcob,"Computer Science,Mathematics,FOS: Mathematics,FOS: Mathematics","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['5 GB'],['sms']
-10.5061/dryad.7h44j100f,Data from: Reconstructing the complex colonization histories of lizards across Mediterranean archipelagos,Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"Aim: The Mediterranean Basin is a global biodiversity hotspot and has one of the longest histories of human-biota interactions. Islands host a large fraction of Mediterranean diversity and endemism, but the relative importance of natural vs. human-mediated colonization processes in shaping the distribution and genetic structure of Mediterranean island fauna remains poorly understood. Here, we combine population genomics, demographic models and palaeoshoreline reconstructions to establish the island-colonization dynamics of wall lizards in Mediterranean archipelagos. Location: Four Mediterranean Archipelagos in Italy and Croatia Taxon: the wall lizard Podarcis siculus Methods: We used ddRAD sequencing to genotype 140 lizards from 23 island and mainland populations. Analyses of admixture and site frequency spectra were used to reconstruct population structure, demographic history, and variation of gene flow through time. Genomic results were integrated with paleogeographic reconstructions and were compared to archaeological evidence of human presence on these islands. Results: Although many island populations of this species are assumed to be non-native, we find that many islands were colonized long before any known human settlements (230,000â€“12,000 years ago). This natural colonization most likely occurred through land bridges during glacial marine regression or by over-sea rafting. On the other hand, islands distant from the continent were often colonized recently, and some of the estimated island colonization times match historical records of human arrival. We also determine that long-established island populations generally show lower genetic diversity compared to proximate mainland populations, contrary to recently colonized islands that must have experienced higher rates of post-colonization gene flow. Main conclusion: Our integrated approach provides us with the power to accurately quantify the origin, timing, and mode of island colonization. This framework helps to clarify the biogeographic and evolutionary history of island populations, with important implications for conservation and management of island biodiversity.",mds,True,findable,43,9,0,0,0,2023-09-28T15:46:04.000Z,2023-09-28T15:46:05.000Z,dryad.dryad,dryad,"FOS: Natural sciences,FOS: Natural sciences,Island biogeography,vicariance,Overseas dispersal,ddRAD Sequencing,demographic history,Podarcis siculus,wall lizards","[{'subject': 'FOS: Natural sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Natural sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Island biogeography', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'vicariance'}, {'subject': 'Overseas dispersal'}, {'subject': 'ddRAD Sequencing'}, {'subject': 'demographic history'}, {'subject': 'Podarcis siculus'}, {'subject': 'wall lizards'}]",['1614361 bytes'],
-10.5281/zenodo.7007289,2D honeycomb transformation into dodecagonal quasicrystals driven by electrostatic forces,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the key input and output files used for the density fucntional theory calculations of the paper ""Mechanism of 2D Oxide Quasicrystal formation from honeycomb structures"" by Sebastian Schenk, Oliver Krahn, Eric Cockayne, Holger L. Meyerheim, Marc deBoissieu, Stefan F""orster, and Wolf Widdra (2022). The calculations were performed using the DFT code VASP, version 5.4.4 [Commercial software is mentioned in this README file to adquately described the procedure. This does not imply an endorsement or recommendation by the National Institute of Standards and Technology, nor that the software used is necessarily the best for the given<br> purpose.] The subfolder large_approximant contains the files for the large Sr<sub>48</sub>Ti<sub>132</sub>O<sub>204</sub> approximant on a Pt monolayer. Subfolders honeycomb/Pt<sub>N</sub> and sigma/Pt<sub>N</sub> contain the files for honeycomb and sigma Ba<sub>8</sub>Ti<sub>24</sub>O<sub>36</sub> structures on Pt trilayers with N Pt per layer per periodic cell. Subfolders honeycomb/Pt<sub>N</sub>/substrate contain the corresponding files<br> for the Pt substrate alone. The honeycomb and sigma structures are at the equilibrium strain as determined by matching interpolated stress results, as described in the Supplementary Information associated with the main Article. The input files are the standard VASP input files: POSCAR (structure information), POTCAR_TITEL (pseudopotential information. Because the VASP pseudopotential files are proprietary, only the titles of the pseudopotentials used are given), KPOINTS (k-point generation) and INCAR (most calculation details). To accelerate the DFT van der Waals calculation, the file vdw_kernel.bindat from the VASP package (not included here) should also be used. The output files are OSZICAR (summarizes energy at each iteration) and OUTCAR (full ouput).",mds,True,findable,0,0,0,0,0,2022-08-18T13:54:16.000Z,2022-08-18T13:54:17.000Z,cern.zenodo,cern,"Oxide quasicrystals, 2D ternary oxide, quasicrystal approximant, DFT","[{'subject': 'Oxide quasicrystals, 2D ternary oxide, quasicrystal approximant, DFT'}]",,
-10.26302/sshade/bandlist_raman_kutnohorite,Raman bandlist of natural Kutnohorite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Kutnohorite at 295K,mds,True,findable,0,0,0,0,0,2023-09-02T14:28:51.000Z,2023-09-02T14:28:52.000Z,inist.sshade,mgeg,"Kutnohorite,Calcium cation,Manganese(II) cation,Magnesium(II) cation,Carbonate anion,Calcium(2+) cation,Manganese(2+) cation,Magnesium(2+) cation,14127-61-8,16397-91-4,22537-22-0,Ca2+,Mn2+,Mg2+,(CO3)2-,CaMn2+(CO3)2,Kutnohorite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Dolomite group (Trigonal: R-3),14.02.01.03,05.AB.10,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Kutnohorite', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Manganese(II) cation', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Manganese(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Magnesium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': '16397-91-4', 'subjectScheme': 'CAS number'}, {'subject': '22537-22-0', 'subjectScheme': 'CAS number'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': 'Mn2+', 'subjectScheme': 'formula'}, {'subject': 'Mg2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'CaMn2+(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'Kutnohorite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Dolomite group (Trigonal: R-3)', 'subjectScheme': 'Dana group'}, {'subject': '14.02.01.03', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.10', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.6084/m9.figshare.c.6821914,Survey of adolescentsâ€™ needs and parentsâ€™ views on sexual health in juvenile idiopathic arthritis,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Although the advent of new therapeutics for juvenile idiopathic arthritis (JIA) patients has considerably lessened the impact of the disease and reduced its sequelae, the outcomes of JIA remain important in their lives. Disease repercussions and side effects of treatments may affect sexual health and cause psychological distress. This aim of the study was to determine the expectations of adolescent JIA patients and the perceptions of their parents regarding knowledge and communication with healthcare providers (HCPs) in the field of sexual health (SH). Methods In France, from September 2021 to April 2022, a survey was conducted, using anonymous self-administered questionnaires, among JIA patients (adults (aged 18â€“45 years) to provide insights from their recollection of their adolescence) and their parents in nine rheumatology centers and three patient associations. Results The responses to the 76 patient questionnaires and 43 parent questionnaires that were collected were analyzed. Half of the patients thought JIA impacted their romantic relationships, but the results were less clear-cut for their sexual activity; and 58.7% of the patients said they would be comfortable discussing the subject with HCPs, but only 26.3% had done so, mainly regarding biomedical issues. The patients and their parents thought that ideally, the topic should be addressed in an individual patient education session at the hospital (51.3% and 34.9%, respectively), in a regular consultation (47.4% and 53.5%), or in a dedicated consultation requested by the adolescent without the adolescentâ€™s parents being informed (38.2% and 20.9%). Most of the respondents thought HCPs should be proactive in SH (77.6% of the patients and 69.8% of their parents). More patients than parents said the following digital information tools must be used: videos (29.0% vs. 9.3%, p = 0.0127) and smartphone applications (25.0% vs. 9.3%, p = 0.0372). Conclusion HCPs should consider addressing the unmet need for SH discussions during their patient encounters. To meet this need, we propose concrete actions in line with the wishes of patients and parents. Clinical trial registration number NCT04791189.",mds,True,findable,0,0,0,0,0,2023-09-06T17:22:59.000Z,2023-09-06T17:22:59.000Z,figshare.ars,otjm,"Medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Science Policy'}]",,
-10.5281/zenodo.10205606,TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa,Zenodo,2023,,Text,Creative Commons Attribution 4.0 International,"This data platform entitled 'TEAL WCA: climate data platform for planning solar photovoltaic and wind energy resources in West and Central Africa'Â is a presentation of climate and energy resources data for two Sub-Saharan African regions. Climate change is now a fact and African countries are more vulnerable. To better prepare for mitigation and adaptation, projection information is needed. The challenge of climate model data output is that they are available at the global level and are associated with some biases. This makes studies at the country or sub-county level difficult especially impact study. This study aims to (i) downscale, (ii) bias-adjust, (iii) aggregate at country and sub-country levels, and (iv) estimate the wind power and solar power potential. Moreover, a database platform is built to make the prepared climate data and estimated energy potential dataset freely available for researchers, universities, and decision-makers in West and Central African countries.Â  This manuscript presents the performance of the approach and the distribution of climate and energy variables.Â ",api,True,findable,0,0,0,0,0,2023-11-25T10:37:08.000Z,2023-11-25T10:37:08.000Z,cern.zenodo,cern,,,,
-10.48380/dggv-h2gp-1860,"Geologicaly-sourced H2 exploration: pathfinders, tools, and methods",Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2021,en,Text,,"Recently, the growing demand for carbon-free energy has sparked an unprecedented interest in naturally occurring H2, as it could represent a potential alternative resource to fossil fuels. Throughout the world, and since more than one century, numerous natural H2-bearing geological fluids have been discovered, but to date, there is neither exploration strategy nor any resource assessment, as practical guidelines for hydrogen targeting are still missing. Here, we lay the foundation of a preliminary exploration guide based on a global â€˜source-transport-accumulationâ€™ understanding of H2-concentrating process and a combination of techniques and data used for both conventional petroleum and mining exploration. Based on different case studies, belonging to contrasted geological settings, we will provide the first elementary bricks to evaluate the sources, migration and trapping of H2 in the Earthâ€™s crust.",fabrica,True,findable,0,0,0,0,0,2022-09-06T12:04:43.000Z,2022-09-06T12:04:43.000Z,mcdy.dohrmi,mcdy,,,,
-10.5281/zenodo.8129629,Models &amp; Simulation code and data for reproduction of results published in CoopIS,Zenodo,2023,en,Software,"Creative Commons Attribution 4.0 International,Open Access",Models &amp; Simulation code and data for reproduction of results published in CoopIS,mds,True,findable,0,0,0,0,0,2023-07-12T15:05:07.000Z,2023-07-12T15:05:08.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.rjdfn2z7p,Data from: Landscape does matter: disentangling founder effects from natural and human-aided post-introduction dispersal during an ongoing biological invasion,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Environmental features impacting the spread of invasive species after introduction can be assessed using population genetic structure as a quantitative estimation of effective dispersal at the landscape scale. However, in the case of an ongoing biological invasion, deciphering whether genetic structure represents landscape connectivity or founder effects is particularly challenging. We examined the modes of dispersal (natural and human-aided) and the factors (landscape or founders history) shaping genetic structure in range edge invasive populations of the Asian tiger mosquito, Aedes albopictus, in the region of Grenoble (Southeast France). Based on detailed occupancy-detection data and environmental variables (climatic, topographic, land-cover), we modelled A. albopictus potential suitable area and its expansion history since first introduction. The relative role of dispersal modes was estimated using biological dispersal capabilities and landscape genetics approaches using genome-wide SNP dataset. We demonstrate that both natural and human-aided dispersal have promoted the expansion of populations. Populations in diffuse urban areas, representing highly suitable habitat for A. albopictus, tend to disperse less, while roads facilitate long-distance dispersal. Yet demographic bottlenecks during introduction played a major role in shaping the genetic variability of these range edge populations. The present study is one of the few investigating the role of founder effects and ongoing expansion processes in shaping spatial patterns of genetic variation in an invasive species at the landscape scale. The combination of several dispersal modes and large proportions of continuous suitable habitats for A. albopictus promoted range filling of almost its entire potential distribution in the region of Grenoble only few years after introduction.",mds,True,findable,127,5,0,0,0,2020-07-06T23:26:39.000Z,2020-07-06T23:26:41.000Z,dryad.dryad,dryad,,,['4074602 bytes'],
-10.5281/zenodo.3541149,"Extended Data for Publication ""Testing the Spectroscopic Extraction of Suppression of Convective Blueshift""",Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Efforts to detect low-mass exoplanets using stellar radial velocities (RVs) are currently limited by magnetic photospheric activity. Suppression of convective blueshift is the dominant magnetic contribution to RV variability in low-activity Sun-like stars. Due to convective plasma motions, the magnitude of RV contributions from the suppression of convective blueshift is roughly correlated with the depth of formation of photospheric spectral lines used to compute the RV time series. Meunier et al. (2017), used this relation to demonstrate a method for spectroscopic extraction of the suppression of convective blueshift in order to isolate RV contributions, including planetary RVs, that contribute equally to the timeseries for each spectral line. In this publication, we extract disk-integrated solar RVs from observations over a 2.5 year time span made with the solar telescope integrated with the HARPS-N spectrograph at the Telescopio Nazionale Galileo (La Palma, Canary Islands, Spain). We apply the methods outlined by Meunier et al. (2017) - as part of this analysis, we fit Gaussian line profiles to 765 iron lines measured over 457 exposures. Here, we provide the complete line list (Table 1; Table1_LineList.csv) used in our analysis, and the resulting RVs time series in their entirety (Table 3; Table3_TimeSeries.csv). Wavelengths are given in Angstroms, and RVs in m/s. We also include 4 CSV files with the line fit parameters of each line profile: Each row corresponds to a single exposure time (corresponding to the JDs in Table 3) and each column corresponds to a specific spectral line (with wavelength specified in Table 1). We fit each spectral line to a Gaussian of the form: \(f(\lambda) = p_1 - p_2 \exp \left[- {1 \over 2} \left({{\lambda - p_3} \over p_4}\right)^2 \right]\) p<sub>1</sub> is the continuum level in arbitrary units (LineProfiles_Continuum.csv)<br> p<sub>2</sub> is the line strength in arbitrary units (LineProfiles_Amplitude.csv)<br> p<sub>3</sub> is the line shift in Angstroms (LineProfiles_Shift.csv)<br> p<sub>4</sub> is the line width in Angstroms (LineProfiles_Width.csv)",mds,True,findable,0,0,0,0,0,2019-11-14T17:47:01.000Z,2019-11-14T17:47:01.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.2z34tmpjg,"Data from: Climate, soil resources and microbial activity shape the distributions of mountain plants based on their functional traits",Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"While soil ecosystems undergo important modi cations due to global change, the e ect of soil properties on plant distributions is still poorly understood. Plant growth is not only controlled by soil physico-chemistry but also by microbial activities through the decomposition of organic matter and the recycling of nutrients essential for plants. A growing body of evidence also suggests that plant functional traits modulate spe- ciesâ€™ response to environmental gradients. However, no study has yet contrasted the importance of soil physico-chemistry, microbial activities and climate on plant species distributions, while accounting for how plant functional traits can in uence species- speci c responses. Using hierarchical e ects in a multi-species distribution model, we investigate how four functional traits related to resource acquisition (plant height, leaf carbon to nitro- gen ratio, leaf dry matter content and speci c leaf area) modulate the response of 44 plant species to climatic variables, soil physico-chemical properties and microbial 100 decomposition activity (i.e. exoenzymatic activities) in the French Alps. Our hierarchical trait-based model allowed to predict well 41 species according to the TSS statistic. In addition to climate, the combination of soil C/N, as a measure of organic matter quality, and exoenzymatic activity, as a measure of microbial decom- position activity, strongly improved predictions of plant distributions. Plant traits played an important role. In particular, species with conservative traits performed bet- ter under limiting nutrient conditions but were outcompeted by exploitative plants in more favorable environments. We demonstrate tight associations between microbial decomposition activity, plant functional traits associated to di erent resource acquisition strategies and plant dis- tributions. is highlights the importance of plantâ€“soil linkages for mountain plant distributions. ese results are crucial for biodiversity modelling in a world where both climatic and soil systems are undergoing profound and rapid transformations.",mds,True,findable,141,18,0,1,0,2020-08-12T05:06:58.000Z,2020-08-12T05:06:59.000Z,dryad.dryad,dryad,,,['14293 bytes'],
-10.5281/zenodo.7573372,Raw data supporting: Augmenting the Performance of Hydrogenase for Aerobic Photocatalytic Hydrogen Evolution via Solvent Tuning,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Raw experimental data supporting the article ""Augmenting the Performance of Hydrogenase for Aerobic Photocatalytic Hydrogen Evolution <em>via</em> Solvent Tuning""",mds,True,findable,0,0,0,0,0,2023-02-07T21:31:26.000Z,2023-02-07T21:31:27.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6400739,InLang: task-related language connectomes,Zenodo,2022,,Dataset,Closed Access,.,mds,True,findable,0,0,0,0,0,2022-03-31T15:23:33.000Z,2022-03-31T15:23:33.000Z,cern.zenodo,cern,"fMRI,Language,Connectome","[{'subject': 'fMRI'}, {'subject': 'Language'}, {'subject': 'Connectome'}]",,
-10.26302/sshade/experiment_jg_20091029_004,"Vis-NIR reflectance spectra of Gumburo Hills (Ogaden, Ethiopia) basalt powder",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Gumburo Hills (Ogaden, Ethiopia) basalts. The samples are cobble fragments sampled from the same outcrop. The experiment contains spectra of the powder of the alteration rind and of the internal part of the samples.",mds,True,findable,0,0,0,0,0,2019-12-09T05:14:44.000Z,2019-12-09T05:14:45.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,rhonite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'rhonite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['2 spectra'],['ASCII']
-10.5281/zenodo.8189792,ailsachung/IsoInv1D: IsoInv1D,Zenodo,2023,,Software,Open Access,1D numerical model for ice sheet age-depth profile constrained using radar horizons,mds,True,findable,0,0,0,1,0,2023-07-27T14:03:02.000Z,2023-07-27T14:03:02.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_sb_20200511_001,Absorption coefficients in the VIS and NIR for oriented San Carlos Olivine and Sri Lanka Olivine crystals,SSHADE/DOCCD (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-06-26T10:02:05.000Z,2020-06-26T10:02:07.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,laboratory measurement,transmission,macroscopic,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,absorption coefficient","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorption coefficient'}]",['5 spectra'],['ASCII']
-10.17178/cryobsclim.cdp.2018.snowprofile,"Col de Porte, Snow Profile",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019.  The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP  (CRYosphere, an OBServatory of the CLIMate â€“ Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:37.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,snow profile,"[{'subject': 'snow profile', 'subjectScheme': 'main'}]",,['caaml']
-10.26302/sshade/bandlist_raman_magnesite,Raman bandlist of natural Magnesite,SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Magnesite at 295K,mds,True,findable,0,0,0,0,0,2023-04-22T06:33:51.000Z,2023-04-22T06:33:52.000Z,inist.sshade,mgeg,"Magnesite,Magnesium(II) cation,Carbonate anion,Magnesium(2+) cation,22537-22-0,39409-82-0,Mg2+,(CO3)2-,MgCO3,Magnesite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Calcite group (Trigonal: R-3c),14.01.01.02,05.AB.05,Raman scattering,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Magnesite', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Magnesium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '22537-22-0', 'subjectScheme': 'CAS number'}, {'subject': '39409-82-0', 'subjectScheme': 'CAS number'}, {'subject': 'Mg2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'MgCO3', 'subjectScheme': 'formula'}, {'subject': 'Magnesite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Calcite group (Trigonal: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.01.02', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.26302/sshade/experiment_dt_20180710_001,Br K edge XAS of gallium bromide solution in hydrothermal conditions at 300bars and between 300 and 650K,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Two concentrations: Ga3+ 0.17m, Br- 0.51m and Ga3+ 0.017m, Br- 0.051m; temperature varying from 300 to 650K",mds,True,findable,0,0,0,0,0,2019-12-05T09:13:23.000Z,2019-12-05T09:13:23.000Z,inist.sshade,mgeg,"laboratory,liquid solution,Gallium bromide solution in hydrothermal conditions: Ga3+ 0.17m, Br- 0.51m,Gallium bromide solution in hydrothermal conditions: Ga3+ 0.017m, Br- 0.051m,laboratory measurement,fluorescence emission,None,hard X,hard X-rays,transmission","[{'subject': 'laboratory'}, {'subject': 'liquid solution'}, {'subject': 'Gallium bromide solution in hydrothermal conditions: Ga3+ 0.17m, Br- 0.51m'}, {'subject': 'Gallium bromide solution in hydrothermal conditions: Ga3+ 0.017m, Br- 0.051m'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'transmission'}]",['16 spectra'],['ASCII']
-10.5281/zenodo.10020919,robertxa/Mirolda: Release 2023,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,Cave survey data with 2023 additions,api,True,findable,0,0,0,0,0,2023-10-19T08:28:21.000Z,2023-10-19T08:28:21.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_dt_20050706_001,Cu K edge XAS fluorescence of copper(I) solution at hydrothermal conditions: Cu+ 0.183m Cl 15.58m 600 bar 25 to 400Â°C,SSHADE/FAME (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-15T20:27:46.000Z,2019-11-15T20:27:47.000Z,inist.sshade,mgeg,"laboratory,liquid solution,Copper(I) solution at hydrothermal conditions: Cu+ 0.183m Cl 15.58m,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'laboratory'}, {'subject': 'liquid solution'}, {'subject': 'Copper(I) solution at hydrothermal conditions: Cu+ 0.183m Cl 15.58m'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['8 spectra'],['ASCII']
-10.5281/zenodo.7429639,"Data and Code for figures of ""Long-range transport and fate of DMS-oxidation products in the free troposphere derived from observations at the high-altitude research station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes""",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This database includes the material to create the figures in ""Measurement Report: Long-range transport and fate of DMS-oxidation products in the free troposphere derived from observations at the high-altitude research station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes"" and the analyzed time series of all atmospheric variables presented.",mds,True,findable,0,0,0,0,0,2022-12-12T18:12:14.000Z,2022-12-12T18:12:14.000Z,cern.zenodo,cern,"dimethyl sulfide,free troposphere,dimethyl sulfone,DMSO2,methane sulfonate,MSA,chemical ionization mass spectrometry,sulfur,marine,long-range transport","[{'subject': 'dimethyl sulfide'}, {'subject': 'free troposphere'}, {'subject': 'dimethyl sulfone'}, {'subject': 'DMSO2'}, {'subject': 'methane sulfonate'}, {'subject': 'MSA'}, {'subject': 'chemical ionization mass spectrometry'}, {'subject': 'sulfur'}, {'subject': 'marine'}, {'subject': 'long-range transport'}]",,
-10.5061/dryad.c1jr3,Data from: Relationship between spectral characteristics of spontaneous postural sway and motion sickness susceptibility,Dryad,2016,en,Dataset,Creative Commons Zero v1.0 Universal,"Motion sickness (MS) usually occurs for a narrow band of frequencies of the imposed oscillation. It happens that this frequency band is close to that which are spontaneously produced by postural sway during natural stance. This study examined the relationship between reported susceptibility to motion sickness and postural control. The hypothesis is that the level of MS can be inferred from the shape of the Power Spectral Density (PSD) profile of spontaneous sway, as measured by the displacement of the center of mass during stationary, upright stance. In Experiment 1, postural fluctuations while standing quietly were related to MS history for inertial motion. In Experiment 2, postural stability measures registered before the onset of a visual roll movement were related to MS symptoms following the visual stimulation. Study of spectral characteristics in postural control showed differences in the distribution of energy along the power spectrum of the antero-posterior sway signal. Participants with MS history provoked by exposure to inertial motion showed a stronger contribution of the high frequency components of the sway signal. When MS was visually triggered, sick participants showed more postural sway in the low frequency range. The results suggest that subject-specific PSD details may be a predictor of the MS level. Furthermore, the analysis of the sway frequency spectrum provided insight into the intersubject differences in the use of postural control subsystems. The relationship observed between MS susceptibility and spontaneous posture is discussed in terms of postural sensory weighting and in relation to the nature of the provocative stimulus.",mds,True,findable,328,42,1,1,0,2015-11-30T15:51:48.000Z,2015-11-30T15:51:49.000Z,dryad.dryad,dryad,"posture,static posturography,spectral analysis,motion sickness","[{'subject': 'posture'}, {'subject': 'static posturography'}, {'subject': 'spectral analysis'}, {'subject': 'motion sickness'}]",['2590326 bytes'],
-10.15778/resif.8c2019,Seismic network 8C :monitoring swarms in the Mont-Blanc and Vallorcine area (RESIF - SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2020,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","We have installed three stations around the Mont-Banc massif in order to detect local earthquakes. These stations were installed at the same location as stations from Cifalp2 project, that were uninstalled in December 219. The goal is to detect and locate earthquakes from several swarms in the area, one along the French-italian border below the Â« Grandes Jorasses Â», another one closer to Chamonix, and a third one near Vallorcine. Moreover, these stations may also help to locate seismic signals produced by glacier basal sliding, rockfalls or glacier collapse.",mds,True,findable,0,0,0,1,0,2021-03-03T10:15:16.000Z,2021-03-03T10:15:42.000Z,inist.resif,vcob,"Swarm,icequake,landslide sliding,glacier swarms,Mont-Blanc massif,Courmayeur","[{'subject': 'Swarm'}, {'subject': 'icequake'}, {'subject': 'landslide sliding'}, {'subject': 'glacier swarms'}, {'subject': 'Mont-Blanc massif'}, {'subject': 'Courmayeur'}]","['3 stations, growing']","['Miniseed data', 'stationXML metadata']"
-10.26302/sshade/experiment_lb_20180718_001,MIR spectra of IOM from CM and C2-ungrouped chondrites under vacuum and at T=80C,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","MIR spectra of IOM extracted from a series of 20 CM and C2-ungrouped chondrites with the CF/HCl technique at IPAG and DTM, under vacuum and at low temperature",mds,True,findable,0,0,0,0,0,2021-05-02T05:49:47.000Z,2021-05-02T05:49:48.000Z,inist.sshade,mgeg,"extraterrestrial,organic molecular solid,IOM CsF/HCl of BELLS,IOM CsF/HCl of ALH83100,IOM CsF/HCl of DOM03183,IOM CsF/HCl of EET87522,IOM CsF/HCl of ESSEBI,IOM CsF/HCl of MET01070,IOM CsF/HCl of Mighei,IOM CsF/HCl of Murray,IOM CsF/HCl of QUE97990,IOM CsF/HCl of LEW85311,IOM CsF/HCl (IPAG) of ALH84033,IOM CsF/HCl of ALH84044,IOM CsF/HCl (IPAG) of EET96029,IOM CsF/HCl of EET83355,IOM CsF/HCl (IPAG) of LEW85312,IOM CsF/HCl (IPAG) of LEW87022,IOM CsF/HCl (IPAG) of MAC88100,IOM CsF/HCl (IPAG) of MCY05230,IOM CsF/HCl (IPAG) of MET01072,IOM CsF/HCl (IPAG) of MIL07700,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'organic molecular solid'}, {'subject': 'IOM CsF/HCl of BELLS'}, {'subject': 'IOM CsF/HCl of ALH83100'}, {'subject': 'IOM CsF/HCl of DOM03183'}, {'subject': 'IOM CsF/HCl of EET87522'}, {'subject': 'IOM CsF/HCl of ESSEBI'}, {'subject': 'IOM CsF/HCl of MET01070'}, {'subject': 'IOM CsF/HCl of Mighei'}, {'subject': 'IOM CsF/HCl of Murray'}, {'subject': 'IOM CsF/HCl of QUE97990'}, {'subject': 'IOM CsF/HCl of LEW85311'}, {'subject': 'IOM CsF/HCl (IPAG) of ALH84033'}, {'subject': 'IOM CsF/HCl of ALH84044'}, {'subject': 'IOM CsF/HCl (IPAG) of EET96029'}, {'subject': 'IOM CsF/HCl of EET83355'}, {'subject': 'IOM CsF/HCl (IPAG) of LEW85312'}, {'subject': 'IOM CsF/HCl (IPAG) of LEW87022'}, {'subject': 'IOM CsF/HCl (IPAG) of MAC88100'}, {'subject': 'IOM CsF/HCl (IPAG) of MCY05230'}, {'subject': 'IOM CsF/HCl (IPAG) of MET01072'}, {'subject': 'IOM CsF/HCl (IPAG) of MIL07700'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['20 spectra'],['ASCII']
-10.5281/zenodo.1156633,Sheet Flow Data,Zenodo,2018,en,Dataset,"Creative Commons Attribution 4.0,Open Access","The netCDF files ""data_expe_mb1.nc"" and ""data_expe_mb2.nc"" contains the experimental results of intense sediment transport experiments (sheet flow) carried out in the LEGI tilting flume. Synchronised and colocated concentration and veclocity (wall-normal and streamwise components) measurements have been obtained by using the Acoustic Concentration and Velocity Profiler (ACVP - Hurther et al., 2011). Details about the experimental protocol can be found in Revil-Baudard et al. (2015) and Revil-Baudard et al. (2016). As there is no sediment recirculation in the flume, the same run has been repeated several times to perform ensemble averages. The results of two-phase flow numerical simulations performed using SedFOAM-2.0 are disseminated in two formats (i) the complete openFOAM case directories can be found in the repository ""data_num"" (ii) NetCDF files containing the concentration, velocity, shear stress and Turbulent Kinetic Energy profiles. The repository contains different combination of intergranular stress and turbulence models: the mu(I) rheology or the kinetic theory of granular flows and mixing length or k-epsilon turbulence models. All the details concerning the numerical results and the configurations can be found in Chauchat et al. (2017a) The SedFOAM-2.0 source code is distributed under a GNU General Public License v2.0 (GNU GPL v2.0) and is available at https://github.com/SedFoam/sedfoam/releases/tag/v2.0 or on Zenodo at https://zenodo.org/record/836643#.Wc47Yoo690s with the following DOI https://doi.org/10.5281/zenodo.836643 (Chauchat et al.,2017b).",,True,findable,0,0,0,0,0,2018-01-22T09:43:53.000Z,2018-01-22T09:43:53.000Z,cern.zenodo,cern,"Sediment transport,Sheet flow,Experiments,Acoustic measurements,Two-phase flow model,turbulence,numerical simulation","[{'subject': 'Sediment transport'}, {'subject': 'Sheet flow'}, {'subject': 'Experiments'}, {'subject': 'Acoustic measurements'}, {'subject': 'Two-phase flow model'}, {'subject': 'turbulence'}, {'subject': 'numerical simulation'}]",,
-10.5061/dryad.6171j,Data from: Reconstructing long-term human impacts on plant communities: an ecological approach based on lake sediment DNA,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"Paleoenvironmental studies are essential to understand biodiversity changes over long timescales and to assess the relative importance of anthropogenic and environmental factors. Sedimentary ancient DNA (sedaDNA) is an emerging tool in the field of paleoecology and has proven to be a complementary approach to the use of pollen and macroremains for investigating past community changes. SedaDNA-based reconstructions of ancient environments often rely on indicator taxa or expert knowledge, but quantitative ecological analyses might provide more objective information. Here, we analysed sedaDNA to investigate plant community trajectories in the catchment of a high-elevation lake in the Alps over the last 6400 years. We combined data on past and present plant species assemblages along with sedimentological and geochemical records to assess the relative impact of human activities through pastoralism, and abiotic factors (temperature and soil evolution). Over the last 6400 years, we identified significant variation in plant communities, mostly related to soil evolution and pastoral activities. An abrupt vegetational change corresponding to the establishment of an agropastoral landscape was detected during the Late Holocene, approximately 4500 years ago, with the replacement of mountain forests and tall-herb communities by heathlands and grazed lands. Our results highlight the importance of anthropogenic activities in mountain areas for the long-term evolution of local plant assemblages. SedaDNA data, associated with other paleoenvironmental proxies and present plant assemblages, appear to be a relevant tool for reconstruction of plant cover history. Their integration, in conjunction with classical tools, offers interesting perspectives for a better understanding of long-term ecosystem dynamics under the influence of human-induced and environmental drivers.",mds,True,findable,611,133,1,1,0,2015-03-03T17:07:50.000Z,2015-03-03T17:07:51.000Z,dryad.dryad,dryad,"Anthropocene,Pastoralism,Landscape history,Holocene,Viridiplantae","[{'subject': 'Anthropocene'}, {'subject': 'Pastoralism'}, {'subject': 'Landscape history'}, {'subject': 'Holocene'}, {'subject': 'Viridiplantae'}]",['262448213 bytes'],
-10.17178/emaa_para-nd3_hyperfine_416718be,Hyperfine excitation of para-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",7 hyperfine energy levels / 9 radiative transitions / 15 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:06.000Z,2021-11-17T14:02:07.000Z,inist.osug,jbru,"target para-ND3,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_hm_20170913_010,UV/vis optical constants of matrix-isolated carbonaceous nanoparticles condensed in Ar/H2 atmosphere,SSHADE/DOCCD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-04-20T13:08:46.000Z,2020-04-20T13:08:47.000Z,inist.sshade,mgeg,"laboratory,organic molecular solid,Carbonaceous nanoparticles,elemental solid,Solid argon,laboratory measurement,transmission,macroscopic,UV,Ultraviolet,Vis,Visible,optical constants","[{'subject': 'laboratory'}, {'subject': 'organic molecular solid'}, {'subject': 'Carbonaceous nanoparticles'}, {'subject': 'elemental solid'}, {'subject': 'Solid argon'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'UV'}, {'subject': 'Ultraviolet'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'optical constants'}]",['2 spectra'],['ASCII']
-10.17178/amma-catch.benin,"AMMA-CATCH observatory: upper Oueme mesoscale site (14 000 km2) in the sudanian climate zone, Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1996,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","The Benin meso-scale site of the AMMA-CATCH observatory coincides with the upper basin of the Oueme River. It is centered on 9Â°5N et 2Â°E, and covers an area of about 15 000 kmÂ². It belongs to the Â« sudanian Â» climatic zone (1200 mm/year on avergage). The land cover is mainly composed of mixed crop/fallow, tree savannah landscape, and woodlands. It is representative of the land cover and land use at this latitude. Time series of rainfall and river discharge are available since 1997. Site equipment improved progressively including meteorological, hydrogeological, and ecological observations. Most instruments were made perennial since the launch of the AMMA international experiment in 2005.",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:56.000Z,2018-03-16T15:36:56.000Z,inist.osug,jbru,"Sudanian climate,Precipitation,Surface water,Meteo,Flux,Radiation,Vegetation,Ground water,Soils,Water quality / Water chemistry","[{'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Radiation', 'subjectScheme': 'var'}, {'subject': 'Vegetation', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.26302/sshade/experiment_ik_20180418_002,Ce L3 edge XAS HERFD of Ce3+ acetate at 10K,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:40:50.000Z,2019-12-05T14:40:51.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,organic salt,Ce3+ acetate,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'organic salt'}, {'subject': 'Ce3+ acetate'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.25384/sage.c.6772590.v1,Beyond atezolizumab plus bevacizumab in patients with advanced hepatocellular carcinoma: overall efficacy and safety of tyrosine kinase inhibitors in a real-world setting,SAGE Journals,2023,,Collection,Creative Commons Attribution 4.0 International,"Background:In patients with advanced hepatocellular carcinoma (HCC) progressing after atezolizumab and bevacizumab, the optimal therapeutic sequence is still unclear and no second-line agent has proven its efficacy.Objectives:The aim of this retrospective multicenter real-world cohort study was to provide an evaluation of the efficacy and safety of the use of second-line tyrosine kinase inhibitors (TKIs) in this population.Methods:All patients with advanced HCC, treated in first-line setting by atezolizumabâ€“bevacizumab, and who received at least one dose of treatment with TKI were included in this study. All the data were retrospectively collected from medical records. The primary outcome was progression-free survival (PFS). Secondary outcomes were overall survival (OS), overall global survival (OGS), and safety. A total of 82 patients were included in this study.Results:Patients were assigned to the regorafenib group (<i>n</i> = 29, 35.4%) or other TKI (sorafenib <i>n</i> = 41, lenvatinib <i>n</i> = 8, or cabozantinib <i>n</i> = 4) group (<i>n</i> = 53). PFS was not significantly different between the two groups [2.6 <i>versus</i> 2.8 months, HR 1.07 (95% CI: 0.61â€“1.86), <i>p</i> = 0.818]. Median PFS rates were 2.6, 4.4, and 2.8 months in sorafenib-, lenvatinib-, and cabozantinib group, respectively. OS was statistically different between the regorafenib group and other TKI group [15.8 <i>versus</i> 7.0 months, HR 0.40 (95% CI: 0.20â€“0.79), <i>p</i> = 0.023]. When adjusting on confounding factors, there was still a difference in OS favoring the regorafenib group (adjusted hazard ratio 0.35, <i>p</i> = 0.019). OGS of patients who received regorafenib was improved compared to other TKI [18.6 <i>versus</i> 15.0 months, HR 0.42 (95% CI: 0.22â€“0.84), <i>p</i> = 0.036]. Twenty percent of patients had grade 3 and none had grade 4 or 5 adverse events. In patients who experienced disease progression and fit for a third-line treatment, 80% and 50% received cabozantinib in regorafenib group and other TKI group, respectively.Conclusion:Efficacy of any TKI in the second-line setting was not affected by atezolizumabâ€“bevacizumab treatment as first-line therapy. The safety profile in the second-line setting was consistent with the results shown in pivotal studies. PFS rates of patients were similar, regardless of TKI type. Regorafenib was associated with better OS and OGS rates compared to other TKI. These data need to be confirmed in prospective comparative studies.",mds,True,findable,0,0,0,0,0,2023-08-03T00:08:51.000Z,2023-08-03T00:08:52.000Z,figshare.sage,sage,"Oncology and Carcinogenesis not elsewhere classified,Aged Health Care,Pharmacology and Pharmaceutical Sciences not elsewhere classified,Respiratory Diseases","[{'subject': 'Oncology and Carcinogenesis not elsewhere classified'}, {'subject': 'Aged Health Care'}, {'subject': 'Pharmacology and Pharmaceutical Sciences not elsewhere classified'}, {'subject': 'Respiratory Diseases'}]",,
-10.17178/amma-catch.ae.h2oflux_ncw,"Surface flux dataset (including meteorological data, radiative budget, surface energy, water vapor and carbon fluxes), over the Wankama watershed (1 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Measure components of the local-scale energy budget. Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in Sahel. Contribute to the flux station network over the AMMA regional transect.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:51.000Z,2018-03-16T15:36:51.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian climate,Wind Speed,Soil Moisture/CS650 Period at depth 10 cm (loc. b),Soil Temperature at depth 10 cm,Standard Deviation of Wind Direction (2),Soil Moisture/CS616 Period at depth 50 cm (loc. b),Soil Moisture/CS616 Period at depth 1 m (loc. b),Sensible Heat Flux,Wind Speed (2),Precipitation Amount (previous 30 minutes),Soil Heat Flux at depth 5 cm,Soil Moisture/CS616 Period at depth 1.5 m (loc. b),Soil Moisture/Water Content at depth 10 cm (loc. b),Wind Direction (2),Soil Moisture/CS616 Period at depth 2.5 m,Precipitation Rate,Soil Temperature at depth 50 cm,Precipitation Amount (since January 1),Soil Moisture/CS616 Period at depth 2 m (loc. b),Soil Moisture/CS616 Period at depth 2.5 m (loc. b),Relative Humidity,Soil Temperature at depth 2.5 m,Soil Moisture/Water Content at depth 1 m (loc. b),Soil Moisture/CS650 Period at depth 2 m (loc. b),Soil Moisture/CS616 Period at depth 1 m,Soil Moisture/CS616 Period at depth 10 cm,Outgoing Longwave Radiation,Carbon Dioxide Flux,Soil Moisture/CS650 Period at depth 2.5 m (loc. b),Soil Temperature at depth 1.5 m,Carbon Dioxide Mean Concentration,Incoming Shortwave Radiation,Soil Heat Flux at depth 5 cm (3),Soil Temperature at depth 50 cm (loc. b),Soil Moisture/Water Content at depth 1.5 m (loc. b),Soil Moisture/Water Content at depth 2.5 m (loc. b),Soil Temperature at depth 1 m (loc. b),Wind Direction,Soil Moisture/Water Content at depth 50 cm (loc. b),Soil Moisture/CS650 Period at depth 1.5 m (loc. b),Soil Temperature at depth 1.5 m (loc. b),Latent Heat Flux,Soil Moisture/CS616 Period at depth 10 cm (loc. b),Soil Temperature at depth 2 m,Air Temperature,Soil Moisture/CS616 Period at depth 1.5 m,Soil Moisture/CS616 Period at depth 2 m,Soil Temperature at depth 2.5 m (loc. b),Soil Temperature at depth 1 m,Soil Temperature at depth 2 m (loc. b),Standard Deviation of Wind Direction,Soil Moisture/CS650 Period at depth 50 cm (loc. b),Soil Moisture/CS616 Period at depth 50 cm,Soil Moisture/Water Content at depth 2 m (loc. b),Soil Temperature at depth 10 cm (loc. b),Outgoing Shortwave Radiation,Precipitation Amount (since last tip),Soil Moisture/CS650 Period at depth 1 m (loc. b),Soil Heat Flux at depth 5 cm (2),Incoming Longwave Radiation","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Wind Speed (2)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 30 minutes)', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (since January 1)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Flux', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Carbon Dioxide Mean Concentration', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm (3)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2.5 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 50 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 2 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (since last tip)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS650 Period at depth 1 m (loc. b)', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5061/dryad.v41ns1rwx,Data for: Environmental and anthropogenic constraints on animal space use drive extinction risk worldwide,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Animals require a certain amount of habitat to persist and thrive, and habitat loss is one of the most critical drivers of global biodiversity decline. While habitat requirements have been predicted by relationships between species traits and home range size, little is known about constraints imposed by environmental conditions and human impacts on a global scale. Our meta-analysis of 395 vertebrate species shows that global climate gradients in temperature and precipitation exert indirect effects via primary productivity, generally reducing space requirements. Human pressure, however, reduces realized space use due to ensuing limitations in available habitat, particularly for large carnivores. We show that human pressure drives extinction risk by increasing the mismatch between space requirements and availability. We use large-scale climate gradients to predict current species extinction risk across global regions, which also offers an important tool for predicting future extinction risk due to ongoing space loss and climate change.",mds,True,findable,247,42,0,0,0,2021-08-06T22:45:24.000Z,2021-08-06T22:45:26.000Z,dryad.dryad,dryad,,,['204387 bytes'],
-10.5281/zenodo.10022526,Analogue Memristive Devices based on La2NiO4+Î´ as Synapses for Spiking Neural Networks,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2023-11-30T09:16:36.000Z,2023-11-30T09:16:36.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6803257,3-D displacement field produced by the 1959 Hebgen Lake earthquake,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The dataset contains EW, NS and vertical displacement component associated with the 1959 Hebgen Lake earthquake. The displacement maps were calculated from the aerial images collected in 1947 (pre-earthquake) and 1977 (post-earthquake).",mds,True,findable,0,0,0,0,0,2022-07-06T16:53:19.000Z,2022-07-06T16:53:20.000Z,cern.zenodo,cern,"3-D displacement, Hebgen Lake earthquake","[{'subject': '3-D displacement, Hebgen Lake earthquake'}]",,
-10.5281/zenodo.10650804,"Dataset for the Paper ""Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Dataset used for the paper ""Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023"" submitted at REP'24.
-
-The associated analysis scripts are available on Software-Heritage: https://archive.softwareheritage.org/swh:1:dir:8910bfe0983a77aa547e8eb08cf24a41584654c3;origin=https://github.com/GuilloteauQ/artefact-lifetime;visit=swh:1:snp:7f5a596f815bf3b05f3b45a0fad7d3205144e5ee;anchor=swh:1:rev:f45f51d5a9cc5b67e8a8c1e231c7b7f09fd24a32",api,True,findable,0,0,0,0,0,2024-02-12T14:51:30.000Z,2024-02-12T14:51:30.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5500364,Data and scripts from: A new westward migration route in an Asian passerine bird,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Contains relevant datasets and code for niche modeling analyses performed in ""A new westward migration route in an Asian passerine bird"" by Dufour P<sup>*</sup>, de Franceschi<sup> </sup>C, Doniol-Valcroze P, Jiguet F, Maya GuÃ©guen M, Renaud J, Lavergne<sup>â€  </sup>S, Crochet<sup>â€ </sup> PA (<sup>â€ </sup>co-senior authors)",mds,True,findable,0,0,0,0,0,2021-10-22T15:02:48.000Z,2021-10-22T15:02:49.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_dt_20170215_001,"Pb L3 edge XAS fluorescence of lead(II) solution at hydrothermal conditions: 800 bar, 30 to 489Â°C",SSHADE/FAME (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Chloride, bromide and bisulfide bearing solutions; temperature varying from 30 to 489Â°C",mds,True,findable,0,0,0,0,0,2022-10-10T20:15:21.000Z,2022-10-10T20:15:22.000Z,inist.sshade,mgeg,"laboratory,liquid solution,Lead(II) solution at hydrothermal conditions: PbCl2(s) in 0.9m NaCl + 0.1m HCl (ESRF-Sol1),Lead(II) solution at hydrothermal conditions: PbCl2(s) in 0.1m HCl (ESRF-Sol2),Lead(II) solution at hydrothermal conditions: Pb 0.014m, Cl 9.728m, Li 9.7m, HCl 0.5m (ESRF-Sol5),Lead(II) solution at hydrothermal conditions: PbBr2(s) in 0.9m NaBr + 0.1m HBr (ESRF-Sol6),Lead(II) solution at hydrothermal conditions: PbS(s) in 1m NaHS + 2.2mg S (ESRF-Sol7),Lead(II) solution at hydrothermal conditions: Pb 0.026m, Br 3.752m, Na 3.7m, HBr 0.1m (ESRF-Sol9),Lead(II) solution at hydrothermal conditions: PbBr2(s) in 0.1m HBr (ESRF-Sol12),laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'liquid solution'}, {'subject': 'Lead(II) solution at hydrothermal conditions: PbCl2(s) in 0.9m NaCl + 0.1m HCl (ESRF-Sol1)'}, {'subject': 'Lead(II) solution at hydrothermal conditions: PbCl2(s) in 0.1m HCl (ESRF-Sol2)'}, {'subject': 'Lead(II) solution at hydrothermal conditions: Pb 0.014m, Cl 9.728m, Li 9.7m, HCl 0.5m (ESRF-Sol5)'}, {'subject': 'Lead(II) solution at hydrothermal conditions: PbBr2(s) in 0.9m NaBr + 0.1m HBr (ESRF-Sol6)'}, {'subject': 'Lead(II) solution at hydrothermal conditions: PbS(s) in 1m NaHS + 2.2mg S (ESRF-Sol7)'}, {'subject': 'Lead(II) solution at hydrothermal conditions: Pb 0.026m, Br 3.752m, Na 3.7m, HBr 0.1m (ESRF-Sol9)'}, {'subject': 'Lead(II) solution at hydrothermal conditions: PbBr2(s) in 0.1m HBr (ESRF-Sol12)'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['42 spectra'],['ASCII']
-10.15778/resif.yv2011,"RHUM-RUM experiment, 2011-2015, code YV (RÃ©union Hotspot and Upper Mantle â€“ RÃ©union's Unterer Mantel) funded by ANR, DFG, CNRS-INSU, IPEV, TAAF, instrumented by DEPAS, INSU-OBS, AWI and the Universities of Muenster, Bonn, La RÃ©union",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2017,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","RHUM-RUM (RÃ©union Hotspot and Upper Mantle - RÃ©unions Unterer Mantel) is a French-German passive seismic experiment designed to image an oceanic mantle plume â€“ or lack of plume â€“ from crust to core beneath La RÃ©union Island, and to understand these results in terms of material, heat flow and plume dynamics. La RÃ©union hotspot is one of the most active volcanoes in the world, and its hotspot track leads to the Deccan Traps of India, one of the largest flood basalt provinces on Earth, which erupted 65 Ma ago. The genesis and the origin at depth of the mantle upwelling and of the hotspot are still very controversial. In the RHUM-RUM project, 57 German and French ocean-bottom seismometers (OBS) have been deployed in october 2012 over an area of 2000 km x 2000 km2 centered on La RÃ©union Island, using the French â€œMarion Dufresneâ€ vessel and have been recovered in October 2013 by the German â€œMeteorâ€ vessel. The one-year OBS deployment (Oct. 2012 â€“ Oct. 2013) is augmented by terrestrial deployments in the Iles Eparses in the Mozambique Channel, in Madagascar, Seychelles, Mauritius, Rodrigues and La RÃ©union islands. A significant number of OBS has been also distributed along the Central and South West Indian Ridges to image the lower-mantle beneath the hotspot, but also to provide independent opportunity for the study of these slow to ultra-slow ridges and of possible plume-ridge interactions, in particular beneath the Rodrigues ridge that could sign a physical link between the RÃ©union hotspot and the Central Indian Ridge.",mds,True,findable,0,0,1,10,0,2015-04-01T15:13:44.000Z,2015-04-01T15:13:44.000Z,inist.resif,vcob,"RÃ©union Hotspot,Piton de la Fournaise volcano,Mantle plume,Lithosphere and Asthenosphere,Upper and lower mantle tomography,Seismic anisotropy and mantle flow,Body and surface wave seismology,Ocean Bottom seismometers,Mascareignes basin,Central and South-West Indian ridges,Rodrigues ridge","[{'subject': 'RÃ©union Hotspot'}, {'subject': 'Piton de la Fournaise volcano'}, {'subject': 'Mantle plume'}, {'subject': 'Lithosphere and Asthenosphere'}, {'subject': 'Upper and lower mantle tomography'}, {'subject': 'Seismic anisotropy and mantle flow'}, {'subject': 'Body and surface wave seismology'}, {'subject': 'Ocean Bottom seismometers'}, {'subject': 'Mascareignes basin'}, {'subject': 'Central and South-West Indian ridges'}, {'subject': 'Rodrigues ridge'}]",['Approx. 2.5 Tb;78 stations'],"['miniseed data', 'stationXML metadata']"
-10.5281/zenodo.3557199,Global and regional glacier mass changes from 1961 to 2016,Zenodo,2019,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Supplementary data tables with the results from Zemp et al. (2019) entitled ""<em><strong>Global glacier mass changes and their contributions to sea-level rise from 1961 to 2016</strong></em>"", Nature: <strong>Data Tables 1a-t | Temporal variabilities for glaciological clusters based on variance decomposition model. </strong>Annual results are made available as csv-files for all 20 cluster: Zemp_etal_results_clusters.zip <strong>Data Tables 2a-t | Regional and global mass balance and mass change results from 1961-2016. </strong>Annual results are made available as csv-files for all 19 regions (cf. RGI 6.0) as well as for the global sum: Zemp_etal_results_regions_global.zip <strong>Data Table 3 | Glacier mass changes for Central Europe from 1961-2016. </strong>Annual results as in Data Table 2 but with examples for multi-year error calculations are made available as Excel-file: Zemp_etal_results_region-CEU_errorcalcs.xlsx <strong>Note</strong>: The corresponding full sample of glaciological and geodetic observations for individual glaciers are publicly available from the World Glacier Monitoring Service: http://doi.org/10.5904/wgms-fog-2018-11 <strong>Version 1.1</strong><br> This version provides the results from the glaciological clusters (Data Tables 1a-t) as used by Zemp et al. (2019). In addition, it contains corrected results for region Iceland (Data Table 2, region_6_ISL) and correspondingly for the global sum (Data Table 2, global); the results for the other regions remain unchanged. For more details on the correction of the regional results for Iceland, see Zemp et al. (2019, Nature), Author Correction. <strong>Version 1.0</strong><br> Data tables containing the results for the 20 glaciological clusters (Data Tables 1a-t) as well as for the 19 regions and global sums (Data Tables 2a-t) related to the publication by Zemp et al. (2019, Nature). We note that this version erroneously contains pre-release versions of results for most of the glaciological clusters that were not used in Zemp et al. (2019, Nature).",mds,True,findable,13,0,0,1,0,2019-11-29T07:40:00.000Z,2019-11-29T07:40:01.000Z,cern.zenodo,cern,"glacier,mass balance,mass change,sea-level rise","[{'subject': 'glacier'}, {'subject': 'mass balance'}, {'subject': 'mass change'}, {'subject': 'sea-level rise'}]",,
-10.5281/zenodo.5788695,"Buoyancy versus local stress field control on the velocity of magma propagation: insight from analog and numerical modelling, Supporting Data",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Experimental data and numerical codes used in the manuscript ""Buoyancy versus local stress field control on the velocity of magma propagation: insight from analog and numerical modelling"" by V. Pinel, S. Furst, F. Maccaferri and D. Smittarello.",mds,True,findable,0,0,0,0,0,2021-12-17T13:17:01.000Z,2021-12-17T13:17:02.000Z,cern.zenodo,cern,"Experimental data, numerical codes for fluid-filled crack propagation","[{'subject': 'Experimental data, numerical codes for fluid-filled crack propagation'}]",,
-10.5281/zenodo.8265979,Code Artifact: Rebasing Microarchitectural Research with Industry Traces,Zenodo,2023,,Software,Apache License 2.0,"Code Artifact of the paper ""Rebasing Microarchitectural Research with Industry Traces"",Â published at theÂ 2023 IEEE International Symposium on Workload Characterization. It includes the proposed cvp2champsim converter and the two versions of ChampSim used to evaluate the converted traces.
-Note: the improved converted traces used in the paper are available at https://doi.org/10.5281/zenodo.10199624.
-Abstract:Â Microarchitecture research relies on performance models with various degrees of accuracy and speed. In the past few years, one such model, ChampSim, has started to gain significant traction by coupling ease of use with a reasonable level of detail and simulation speed. At the same time, datacenter class workloads, which are not trivial to set up and benchmark, have become easier to study via the release of hundreds of industry traces following the first Championship Value Prediction (CVP-1) in 2018. A tool was quickly created to port the CVP-1 traces to the ChampSim format, which, as a result, have been used in many recent works. We revisit this conversion tool and find that several key aspects of the CVP-1 traces are not preserved by the conversion. We therefore propose an improved converter that addresses most conversion issues as well as patches known limitations of the CVP-1 traces themselves. We evaluate the impact of our changes on two commits of ChampSim, with one used for the first Instruction Championship Prefetching (IPC-1) in 2020. We find that the performance variation stemming from higher accuracy conversion is significant.",mds,True,findable,0,0,0,0,0,2023-08-23T10:18:09.000Z,2023-08-23T10:18:09.000Z,cern.zenodo,cern,"ChampSim,CVP-1 traces","[{'subject': 'ChampSim'}, {'subject': 'CVP-1 traces'}]",,
-10.6084/m9.figshare.14176175,Additional file 1 of Ability of procalcitonin to distinguish between bacterial and nonbacterial infection in severe acute exacerbation of chronic obstructive pulmonary syndrome in the ICU,figshare,2021,,Text,Creative Commons Attribution 4.0 International,"Additional file 1: Online Resource 1. Detailed information regarding inclusion, no inclusion and exclusion criteria and definitions. Online Resource 2. PCT levels at inclusion (PCT-H0), at six hours (PCT-H6) and day 1 (PCT-H24) after inclusion, in subgroups of patients with (ATB+) (Panel a-c) and without (ATB-) (Panel d-f) antibiotics at inclusion. Online Resource 3. PCT levels at inclusion (PCT-H0), at six hours (PCT-H6) and day 1 (PCT-H24) after inclusion, in subgroups of patients with (PNP+) (Panel a-c) or without (PNP-) (Panel d-f) pneumonia at inclusion. Online Resource 4. Receiver operating characteristic (ROC) curves at any time (i.e., H0, H6 and H24 after inclusion) for the prediction of documented bacterial infection (including bacterial and viral coinfection) vs nondocumented bacterial infection (i.e., documented viral infection alone or absence of documented pathogen) for the PCT levels in subgroups of patients with (ATB+) (Panel a-c) and without (ATB-) (Panel d-f) antibiotics at inclusion. Online Resource 5. Receiver operating characteristic (ROC) curves at any time (i.e., H0, H6 and H24 after inclusion) for the prediction of documented bacterial infection (including bacterial and viral coinfection) vs nondocumented bacterial infection (i.e., documented viral infection alone or absence of documented pathogen) for the PCT levels in subgroups of patients with (PNP+) (Panel a-c) or without (PNP-) (Panel d-f) pneumonia at inclusion.",mds,True,findable,0,0,34,1,0,2021-03-07T04:46:26.000Z,2021-03-07T04:46:26.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Biotechnology,Immunology,FOS: Clinical medicine,Science Policy,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",['994447 Bytes'],
-10.26302/sshade/experiment_hm_20180417_001,Infrared optical constants or amorphous Al-silicates,SSHADE/DOCCD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-04-20T13:09:11.000Z,2020-04-20T13:09:12.000Z,inist.sshade,mgeg,"solid,laboratory,silicate,Na-Al-silicate glass with Al(Al+Si)=0.33,Na-Al-silicate glass with Al(Al+Si)=0.25,Na-Al-silicate glass with Al(Al+Si)=0.20,Mg-Al-silicate glass with Al(Al+Si)=0.33,Mg-Al-silicate glass with Al(Al+Si)=0.25,Mg-Al-silicate glass with Al(Al+Si)=0.20,Mg-Al-silicate glass with Al(Al+Si)=0.10,Mg-Fe-Al-silicate glass with Al(Al+Si)=0.33,Mg-Fe-Al-silicate glass with Al(Al+Si)=0.25,Mg-Fe-Al-silicate glass with Al(Al+Si)=0.20,Mg-Fe-Al-silicate glass with Al(Al+Si)=0.10,Ca-Mg-Al-silicate glass with Al(Al+Si)=0.40,Ca-Al-silicate glass with Al(Al+Si)=0.67,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'silicate'}, {'subject': 'Na-Al-silicate glass with Al(Al+Si)=0.33'}, {'subject': 'Na-Al-silicate glass with Al(Al+Si)=0.25'}, {'subject': 'Na-Al-silicate glass with Al(Al+Si)=0.20'}, {'subject': 'Mg-Al-silicate glass with Al(Al+Si)=0.33'}, {'subject': 'Mg-Al-silicate glass with Al(Al+Si)=0.25'}, {'subject': 'Mg-Al-silicate glass with Al(Al+Si)=0.20'}, {'subject': 'Mg-Al-silicate glass with Al(Al+Si)=0.10'}, {'subject': 'Mg-Fe-Al-silicate glass with Al(Al+Si)=0.33'}, {'subject': 'Mg-Fe-Al-silicate glass with Al(Al+Si)=0.25'}, {'subject': 'Mg-Fe-Al-silicate glass with Al(Al+Si)=0.20'}, {'subject': 'Mg-Fe-Al-silicate glass with Al(Al+Si)=0.10'}, {'subject': 'Ca-Mg-Al-silicate glass with Al(Al+Si)=0.40'}, {'subject': 'Ca-Al-silicate glass with Al(Al+Si)=0.67'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['13 spectra'],['ASCII']
-10.17178/ohmcv.dsd.pvi.12-16.1,"DSD network, Pradel-Vignes",CNRS - OSUG - OREME,2009,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:17.000Z,2017-10-17T13:24:18.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.26302/sshade/experiment_rc_20200109_000,VIS-NIR reflectance spectra collected during low-temperature and near-vacuum sublimation of compact slabs of salty ice produced by slowly freezing solutions of MgCl2 with three different concentrations,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Compact slabs of salty (MgCl2) ice are produced by slowly freezing small volumes of salt solutions into a laboratory freezer at 230K. The samples are then introduced in the SCITEAS-2 simulations chamber and their slow sublimation at low temperature and in secondary vacuum is followed for several tens of hours by VIS-NIR hyperspectral imaging.,mds,True,findable,0,0,0,0,0,2023-06-09T17:17:00.000Z,2023-06-09T17:17:01.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,water ice,Magnesium(II) chloride hydrate,laboratory,inorganic molecular solid,chloride","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) chloride hydrate', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'chloride', 'subjectScheme': 'compound type'}]",['284 spectra'],['ASCII']
-10.5281/zenodo.10204743,"Supplementary material to ""SnowPappus v1.0, a blowing-snow model for large-scale applications of Crocus snow scheme"" : Pleiades snow depth maps analysis",Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"This Folder contains :
-Â  Â  Â - necessary codes to reprduce Fig. 5, 12 and 13 of the third version of the submitted manuscript SnowPappus v1.0, a blowing-snow model for large-scale applications of Crocus snow scheme""
-Â  Â  Â - necessary data to run these codes, including extracts of simulation outputs
-Â  Â  - A readme.txt which explains how to run everything
-Â ",api,True,findable,0,0,0,0,0,2023-11-24T18:50:44.000Z,2023-11-24T18:50:45.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.0rxwdbrv7,Through the taste buds of a large herbivore: foodscape modeling contributes to an understanding of forage selection processes,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"How large herbivores track resource quantity and quality through time has formed the core of an abundance of literature on migratory populations in recent decades. Yet, relating foraging processes and habitat selection patterns in resident populations, where spatial heterogeneity of food resources is fineâ€grained and/or where the portion of edible plants (i.e. the foodscape) is low, is challenging. We addressed this issue in a mountain population of chamois Rupicapra rupicapra, an intermediate feeder, whose individuals do not migrate. We relied on a rare combination of data on habitat use of 50 GPSâ€collared females and data on the quantity (biomass) and quality (phenology) of edible resources in their landscape, derived from field sampling of vegetation, remote sensing, and diet (DNA barcoding). The foodscape of the chamois was composed of a low proportion of the available biomass (&lt;17%), including relatively highâ€quality plants, with low spatial covariation between plant phenology and biomass. Chamois avoided areas with a low edible biomass (where the intake rate may be too low) and focused on areas with plants at approximately the flowering stage, whatever the average plant phenological stage available. Due to this constant preference for flowering plants, home range selection ratios therefore shifted during the summer from a selection of more advanced plants in June to their avoidance in August. When the phenology scores of all plants available, rather than edible plants only, were considered, areas with relatively more advanced plants were selected all summer long. This exemplifies that, when traits from edible plants are different from those of all plants available, it is crucial to consider the actual foodscape to decipher forage and habitat selection processes. By integrating speciesâ€specific dimensions of resources in habitat selection studies, we believe understanding of the foraging processes will be improved.",mds,True,findable,144,12,0,1,0,2019-10-24T22:32:39.000Z,2019-10-24T22:32:39.000Z,dryad.dryad,dryad,"chamois,rupicapra rupicapra,quality-quantity trade-off","[{'subject': 'chamois'}, {'subject': 'rupicapra rupicapra'}, {'subject': 'quality-quantity trade-off'}]",['63172 bytes'],
-10.17178/ohmcv.all,OHMCV: Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory,CNRS - OSUG - OREME,2000,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.","The CÃ©vennes-Vivarais Mediterranean Hydro-Meteorological Observatory (OHMCV) is an observation service dedicated to thunderstorms generating intense rains and flash floods in the medium mountainous Mediterranean region. For this purpose, OHMCV develops three observation strategies: (1) detailed, longâ€lasting, and modern hydrometeorological observation over part of the region of interest, the CÃ©vennesâ€Vivarais region, for the purpose of process studies and the improvement and assessment of coupled hydrometeorological predictive models; (2) multidisciplinary postflood investigations following the most extreme events wherever they occur in the Mediterranean region to document and analyze the physical processes and societal factors involved; and (3) use of historical information available on past floods to better characterize the frequency of extreme hydrometeorological events and possible trends in a changing climate. OHMCV participates to the international HyMeX program. It is a member of the Network of Drainage Basins (RBV) and OZCAR Infrastructure.",mds,True,findable,0,0,1,0,0,2017-03-08T17:13:35.000Z,2017-03-08T17:13:36.000Z,inist.osug,jbru,"Mediterranean climate,Precipitation,Surface water,Meteorology,Societal observation,Hydrology,Ground water,Soils,Water quality / Water chemistry","[{'subject': 'Mediterranean climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Societal observation', 'subjectScheme': 'var'}, {'subject': 'Hydrology', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'ESRI Grid']"
-10.17178/amma-catch.al.met_g,"Meteorological dataset (including radiative budget and soil variables), within the Gourma site (30 000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of micro-meteorological parameters in the sahelian and saharo-sahelian regions. Characterization of the spatial variability of the meteorological variables within the Gourma meso scale site and, in combination with flux measurements, of the soil-vegetation-atmosphere transferts. Data will be used in modelling activities as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:54.000Z,2018-03-16T15:36:54.000Z,inist.osug,jbru,"Radiative balance, PAR, IRT, micrometeorology,Sahelian/Saharan climate,Wind Speed,Diffuse Photosynthetically Active Radiation,Wind Direction,Air Pressure,Soil Heat Flux at depth 5 cm,Air Temperature,Soil Heat Flux at depth 30 cm (2),Relative Humidity,Soil Heat Flux at depth 10 cm,Outgoing Shortwave Radiation,Global Photosynthetically Active Radiation,Outgoing Longwave Radiation,Soil Heat Flux at depth 10 cm (2),Land Surface Temperature,Soil Heat Flux at depth 30 cm,Precipitation Amount,Incoming Shortwave Radiation,Soil Heat Flux at depth 5 cm (2),Incoming Longwave Radiation","[{'subject': 'Radiative balance, PAR, IRT, micrometeorology', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Diffuse Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 30 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Global Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Outgoing Longwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 10 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Land Surface Temperature', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Soil Heat Flux at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Incoming Longwave Radiation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.26302/sshade/bandlist_raman_fe-magnesite,Raman bandlist of natural Ferroan Magnesite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Ferroan Magnesite (0.05 &lt; Fe &lt; 0.5) at 295K,mds,True,findable,0,0,0,0,0,2023-08-29T15:03:10.000Z,2023-08-29T15:03:11.000Z,inist.sshade,mgeg,"Ferroan Magnesite,Magnesium(II) cation,Iron(II) cation,Manganese(II) cation,Carbonate anion,Magnesite,Magnesium(2+) cation,Iron(2+) cation,Manganese(2+) cation,22537-22-0,15438-31-0,16397-91-4,39409-82-0,Mg2+,Fe2+,Mn2+,(CO3)2-,MgCO3,Magnesite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Calcite group (Trigonal: R-3c),14.01.01.02,05.AB.05,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Ferroan Magnesite', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) cation', 'subjectScheme': 'name'}, {'subject': 'Iron(II) cation', 'subjectScheme': 'name'}, {'subject': 'Manganese(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Magnesite', 'subjectScheme': 'name'}, {'subject': 'Magnesium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Iron(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Manganese(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '22537-22-0', 'subjectScheme': 'CAS number'}, {'subject': '15438-31-0', 'subjectScheme': 'CAS number'}, {'subject': '16397-91-4', 'subjectScheme': 'CAS number'}, {'subject': '39409-82-0', 'subjectScheme': 'CAS number'}, {'subject': 'Mg2+', 'subjectScheme': 'formula'}, {'subject': 'Fe2+', 'subjectScheme': 'formula'}, {'subject': 'Mn2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'MgCO3', 'subjectScheme': 'formula'}, {'subject': 'Magnesite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Calcite group (Trigonal: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.01.02', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5061/dryad.000000046,Narwhals react to ship noise and airgun pulses embedded in background noise,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Anthropogenic activities are increasing in the Arctic posing a threat to species with high seasonal site-fidelity, such as the narwhal Monodon monoceros. In this controlled sound exposure study, six narwhals were live-captured and instrumented with animal-borne tags providing movement and behavioural data, and exposed to concurrent ship noise and airgun pulses. All narwhals reacted to sound exposure by reduced buzzing rates, where the response was dependent on the magnitude of exposure defined as 1/distance to ship. Halving of buzzing rate, compared with undisturbed behaviour, and cessation of foraging occurred at 12 and ~7-8 km from the ship, respectively. The effect of exposure could be detected &gt; 40 km from the ship. At distances &gt; 5 km, the received high-frequency cetacean weighted sound exposure levels were below background noise indicating sensitivity of narwhals towards sound disturbance and demonstrating their ability to detect signals embedded in noise. Further studies are needed to evaluate the energetic costs of disrupted foraging due to sustained disturbance but the observed sensitivity should be considered in the management of anthropogenic activities in the Arctic. The results of this study emphasize the importance of controlled sound exposure studies in the wild to explore the auditory capabilities of odontocetes.",mds,True,findable,211,15,0,0,0,2021-08-11T15:45:56.000Z,2021-08-11T15:45:57.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,airgun,Foraging","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'airgun'}, {'subject': 'Foraging', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['50920791 bytes'],
-10.17178/amma-catch.cl.vegherb_g,"Vegetation dataset (interannual dynamics of herbaceous vegetation), within the Gourma site (30 000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Monitor the inter-annual dynamics of herbaceous productivity (maximum aboveground mass) in relation with climate and land use practice. A network of reading rain gauges (since 2005) are associated to the vegetation sites.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:18.000Z,2018-03-16T15:37:18.000Z,inist.osug,jbru,"Vegetation yields, vegetation species (when possible),Sahelian/Saharan climate,Aboveground Maximum Herbaceous Mass,Aboveground Maximum Herbaceous Mass Standard Deviation","[{'subject': 'Vegetation yields, vegetation species (when possible)', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Aboveground Maximum Herbaceous Mass', 'subjectScheme': 'var'}, {'subject': 'Aboveground Maximum Herbaceous Mass Standard Deviation', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.57745/bywea3,Long-term monitoring of near-surface soil temperature in high-elevation alpine grasslands,Recherche Data Gouv,2023,,Dataset,,"Monitoring of near-surface soil temperature in European mountain meadows. Data are collected as part of the ANR project ODYSSEE (Projet-ANR-13-ISV7-0004). Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in Â°C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,34,0,0,0,0,2023-03-27T13:30:34.000Z,2023-07-18T07:52:17.000Z,rdg.prod,rdg,,,,
-10.18709/perscido.2022.01.ds364,The VLSAT-3 (Very Large SAT) Benchmark Suite,PerSCiDo,2022,en,Dataset,,"The VLSAT-3 benchmark suite (where ""VL"" stands for ""Very Large"") is a collection of 1200 SMT formulas to be used as benchmarks in scientific experiments and software competitions. These SMT formulas have been obtained from the automatic conversion into Nested-Unit Petri Nets (NUPNs) of a large collection of Petri nets modelling real-life problems, such as communication protocols and concurrent systems. More than 90% of these benchmarks have been used during the 16th International Satisfiability Modulo Theories Competition (SMT-COMP 2021).",fabrica,True,findable,0,0,0,0,0,2022-01-04T13:18:32.000Z,2022-01-04T13:18:33.000Z,inist.persyval,vcob,Computer science,"[{'lang': 'en', 'subject': 'Computer science'}]",['10 mo'],['SMT-LIB v2.6']
-10.26302/sshade/experiment_zed_20230921_01,MIR Average reflectance spectra of eight Ryugu fragments (chambers A and C),SSHADE/DAYSY (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR spectroscopy average reflectance spectra of eight Ryugu micrometrique fragments collected at different angles,mds,True,findable,0,0,0,0,0,2023-09-21T11:54:24.000Z,2023-09-21T11:54:24.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,micro-imaging,MIR,Mid-Infrared,reflectance factor,Bulk chamber A Ryugu samples,Bulk Chamber C Ryugu samples,extraterrestrial,planetary,complex organic-mineral mix","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'transmission', 'subjectScheme': 'main'}, {'subject': 'micro-imaging', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Bulk chamber A Ryugu samples', 'subjectScheme': 'name'}, {'subject': 'Bulk Chamber C Ryugu samples', 'subjectScheme': 'name'}, {'subject': 'extraterrestrial', 'subjectScheme': 'family'}, {'subject': 'planetary', 'subjectScheme': 'origin'}, {'subject': 'complex organic-mineral mix', 'subjectScheme': 'compound type'}]",['8 spectra'],['ASCII']
-10.26302/sshade/experiment_ak_20141114_1,Mid-infrared attenuated total reflectance experiment with Cs+ exchanged less 0.1 Î¼m size fraction of beidellite (SbId-1) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:19:47.000Z,2022-11-04T08:19:48.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Cs-exchanged beidellite SbId-1 size-fraction &lt;0.1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Cs-exchanged beidellite SbId-1 size-fraction &lt;0.1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['3 spectra'],['ASCII']
-10.18709/perscido.2022.09.ds375,"Gupta, A., Reverdy, A., Cohard, J.-M., Voisin, D., Hector, B., Descloitres, M., Vandervaere, J.-P., Coulaud, C., Biron, R., Liger, L., Valay, J.-G., and Maxwell, R. (2022) Data from: Impact of distributed meteorological forcing on snow dynamic and induced water fluxes over a mid-elevation alpine micro-scale catchment.",PerSCiDO,2022,,Dataset,,"The sorftware and data presented here are the part of the study:
-Gupta, A., Reverdy, A., Cohard, J.-M., Voisin, D., Hector, B., Descloitres, M., Vandervaere, J.-P., Coulaud, C., Biron, R., Liger, L., Valay, J.-G., and Maxwell, R.: Impact of distributed meteorological forcing on snow dynamic and induced water fluxes over a mid-elevation alpine micro-scale catchment, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2021-639, in review, 2022.",api,True,findable,0,0,0,0,0,2022-09-05T07:59:57.000Z,2022-09-05T07:59:57.000Z,inist.persyval,vcob,"glaciology,Geology,FOS: Earth and related environmental sciences,Environmental Science and Ecology","[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}, {'subject': 'Geology', 'subjectScheme': 'http://www.radar-projekt.org/display/Geological_Sciences'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Environmental Science and Ecology', 'subjectScheme': 'http://www.radar-projekt.org/display/Environmental_Science_and_Ecology'}]",['10 Mo'],
-10.25384/sage.23826552.v1,sj-docx-1-tam-10.1177_17588359231189425 â€“ Supplemental material for Beyond atezolizumab plus bevacizumab in patients with advanced hepatocellular carcinoma: overall efficacy and safety of tyrosine kinase inhibitors in a real-world setting,SAGE Journals,2023,,Text,Creative Commons Attribution Non Commercial 4.0 International,"Supplemental material, sj-docx-1-tam-10.1177_17588359231189425 for Beyond atezolizumab plus bevacizumab in patients with advanced hepatocellular carcinoma: overall efficacy and safety of tyrosine kinase inhibitors in a real-world setting by Manon Falette-Puisieux, Jean-Charles Nault, Mohamed Bouattour, Marie Lequoy, Giuliana Amaddeo, Thomas Decaens, Frederic Di Fiore, Sylvain Manfredi, Philippe Merle, Aurore Baron, Christophe Locher, Anna Pellat and Romain Coriat in Therapeutic Advances in Medical Oncology",mds,True,findable,0,0,0,0,0,2023-08-03T00:08:51.000Z,2023-08-03T00:08:52.000Z,figshare.sage,sage,"Oncology and Carcinogenesis not elsewhere classified,Aged Health Care,Pharmacology and Pharmaceutical Sciences not elsewhere classified,Respiratory Diseases","[{'subject': 'Oncology and Carcinogenesis not elsewhere classified'}, {'subject': 'Aged Health Care'}, {'subject': 'Pharmacology and Pharmaceutical Sciences not elsewhere classified'}, {'subject': 'Respiratory Diseases'}]",['13476 Bytes'],
-10.17178/emaa_cs_rotation_d0c6405a,"Rotation excitation of CS by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",40 rotation energy levels / 39 radiative transitions / 435 collisional transitions for para-H2 (11 temperatures in the range 5-305K) / 435 collisional transitions for ortho-H2 (11 temperatures in the range 5-305K) / 284 collisional transitions for electron (11 temperatures in the range 10-2000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:21.000Z,2022-02-07T11:24:22.000Z,inist.osug,jbru,"target CS,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CS', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.5237269,Data Abstraction: A General Framework to Handle Program Verification of Data Structures,Zenodo,2021,,Other,"Creative Commons Attribution 4.0 International,Open Access","This archive represents the <em>artifact</em> submission for SAS 2021 research paper of the same title. It includes the compressed <em>docker image</em><strong> </strong>`data_abstraction_benchmarks.tar`. The README is reported below<br> # About<br> <br> This docker image contains benchmarks, installation tools and analysis tools for the verification of assertions in programs with arrays.<br> The paper *Data Abstraction: A General Framework to Handle Program Verification of Data Structures* accepted to SAS2021 uses this tool to generate its benchmark table.<br> <br> # Running the image<br> <br> - Load the image using `docker load -i data_abstraction_benchmarks.tar`<br> - Run the docker image interactively using : `docker run --name=""array-benchmarks"" -it jbraine/data_abstraction_benchmarks /bin/bash`<br> - Source .profile using within the container : `source .profile`<br> <br> Note : to retrieve files from within the docker container, you may use ` docker cp` from outside the docker image. An example is `docker cp array-benchmarks:Tools/array-benchmarks/README.md /tmp/README.md` . __This only works if you used ` --name=""array-benchmarks""` in the docker run command.__<br> <br> # Finding the tools<br> <br> Within the docker container, do :<br> `cd Tools`<br> <br> If you type `ls` here, you should get 4 folders:<br> - array-benchmarks<br> - DataAbstraction<br> - hornconverter<br> - CellMorphing<br> <br> hornconverter (respectively CellMorphing) is the converter (respectively abstraction tool) from SAS16 Gonnord and Monniaux paper. These are supplied as we use hornconverter as front-end and we compare ourselves with the CellMorphing abstraction. The DataAbstraction tool and the array-benchmarks are our contributions.<br> <br> ## The array-benchmarks<br> <br> The latest stable result build is available in the Latest folder. They currently correspond to the benchmarks used to generate the experiment table of the SAS2021 paper.<br> The README.md within the array-benchmarks folder contains the necessary information to understand the computed results, rebuild them and extend them.<br> <br> ## The DataAbstraction tool<br> <br> Our DataAbstraction tool is contained within the DataAbstraction folder and the current build implements Algorithm 7, page 16 of the SAS2021 paper.<br> The README.md within that folder contains the information on how the source code is build, ran, modified and constructed. It links the algorithms of the paper to specific functions of the source code.",mds,True,findable,0,0,0,0,0,2021-08-23T19:45:30.000Z,2021-08-23T19:45:31.000Z,cern.zenodo,cern,"static analysis,horn clauses,array benchmarks","[{'subject': 'static analysis'}, {'subject': 'horn clauses'}, {'subject': 'array benchmarks'}]",,
-10.5061/dryad.m37pvmd0v,IS-mediated mutations both promote and constrain evolvability during a long-term experiment with bacteria,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"The long-term dynamics of IS elements and their effects on bacteria are poorly understood, including whether they are primarily genomic parasites or important drivers of adaptation by natural selection. Here, we investigate the dynamics of IS elements and their contribution to genomic evolution and fitness during a long-term experiment with Escherichia coli. This data set includes the Rmd file to analyze the genomic and metagenomic data (Tenaillon et al. 2016 and Good et al. 2017) in light with the IS dynamics and their correlation with fitness improvements described in the present work.",mds,True,findable,285,26,0,0,0,2020-10-30T17:38:33.000Z,2020-10-30T17:38:35.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['13769300 bytes'],
-10.15778/resif.xw2007,Seismic network XW:SIMBAAD temporary experiment - Anatolia Western transect (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2007,en,Other,"Open Access,Creative Commons Attribution 4.0 International",Temporary seismic profile across Western Anatolia. Goal: imaging of the lithospheric structure using earthquake data. 23 seismic stations with ~15 km spacing along a North-South line at 28Â°E. Sensors: mostly GÃ¼ralp CMG40-T. Digitizers: Agecodagis Minititan,mds,True,findable,0,0,0,1,0,2014-12-09T11:04:43.000Z,2014-12-09T11:04:43.000Z,inist.resif,vcob,"Central Anatolia,Crustal structure,Lithospheric structure,Seismic imaging","[{'subject': 'Central Anatolia'}, {'subject': 'Crustal structure'}, {'subject': 'Lithospheric structure'}, {'subject': 'Seismic imaging'}]",,
-10.26302/sshade/experiment_lb_20220119_001,"NIR reflectance spectrum (i=0Â°, e=30Â°) of bulk EOC chondrites under vacuum at T = 80Â°C",SSHADE/GhoSST (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR reflectance spectra (i = 0Â°, e = 30Â°) of bulk EOC chondrites under vacuum at T = 80Â°C",mds,True,findable,0,0,0,0,0,2022-04-12T08:17:49.000Z,2022-04-12T08:17:52.000Z,inist.sshade,mgeg,"extraterrestrial,ordinary chondrite,LL,complex organic-mineral mix,matrix Bandong,complex mineral mix,chondrules Bandong,CAIs Bandong,L,matrix BeniMhira,chondrules BeniMhira,CAIs BeniMhira,matrix Bensour,chondrules Bensour,CAIs Bensour,H,matrix Catalina024,chondrules Catalina024,CAIs Catalina024,matrix Catalina309,chondrules Catalina309,CAIs Catalina309,matrix CS001,chondrules CS001,CAIs CS001,matrix EM378,chondrules EM378,CAIs EM378,matrix ForestVale,chondrules ForestVale,CAIs ForestVale,matrix Iran009,chondrules Iran009,CAIs Iran009,matrix Iran011,chondrules Iran011,CAIs Iran011,matrix Kernouve,chondrules Kernouve,CAIs Kernouve,matrix Lancon,chondrules Lancon,CAIs Lancon,matrix LimonVerde004,chondrules LimonVerde004,CAIs LimonVerde004,matrix LOV083,chondrules LOV083,CAIs LOV083,matrix LOV147,chondrules LOV147,CAIs LOV147,matrix LOV155,chondrules LOV155,CAIs LOV155,matrix LOV416,chondrules LOV416,CAIs LOV416,matrix LOV423,chondrules LOV423,CAIs LOV423,matrix LOV432,chondrules LOV432,CAIs LOV432,matrix MonteDasFortes,chondrules MonteDasFortes,CAIs MonteDasFortes,matrix Moshampa,chondrules Moshampa,CAIs Moshampa,matrix MountTazerzait,chondrules MountTazerzait,CAIs MountTazerzait,matrix NWA12475,chondrules NWA12475,CAIs NWA12475,matrix NWA12546,chondrules NWA12546,CAIs NWA12546,matrix NWA12556,chondrules NWA12556,CAIs NWA12556,matrix NWA12961,chondrules NWA12961,CAIs NWA12961,matrix NWA13838,chondrules NWA13838,CAIs NWA13838,matrix NWA7283,chondrules NWA7283,CAIs NWA7283,matrix NWA8628,chondrules NWA8628,CAIs NWA8628,matrix NWA8275,chondrules NWA8275,CAIs NWA8275,matrix NWA8477,chondrules NWA8477,CAIs NWA8477,matrix Paposo012,chondrules Paposo012,CAIs Paposo012,matrix SaintSeverin,chondrules SaintSeverin,CAIs SaintSeverin,matrix SokoBanja,chondrules SokoBanja,CAIs SokoBanja,matrix SteMarguerite,chondrules SteMarguerite,CAIs SteMarguerite,matrix Tamdakht,chondrules Tamdakht,CAIs Tamdakht,matrix TaqtaqERasoul,chondrules TaqtaqERasoul,CAIs TaqtaqERasoul,matrix Tuxtuac,chondrules Tuxtuac,CAIs Tuxtuac,matrix Vinales,chondrules Vinales,CAIs Vinales,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'ordinary chondrite'}, {'subject': 'LL'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Bandong'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Bandong'}, {'subject': 'CAIs Bandong'}, {'subject': 'L'}, {'subject': 'matrix BeniMhira'}, {'subject': 'chondrules BeniMhira'}, {'subject': 'CAIs BeniMhira'}, {'subject': 'matrix Bensour'}, {'subject': 'chondrules Bensour'}, {'subject': 'CAIs Bensour'}, {'subject': 'H'}, {'subject': 'matrix Catalina024'}, {'subject': 'chondrules Catalina024'}, {'subject': 'CAIs Catalina024'}, {'subject': 'matrix Catalina309'}, {'subject': 'chondrules Catalina309'}, {'subject': 'CAIs Catalina309'}, {'subject': 'matrix CS001'}, {'subject': 'chondrules CS001'}, {'subject': 'CAIs CS001'}, {'subject': 'matrix EM378'}, {'subject': 'chondrules EM378'}, {'subject': 'CAIs EM378'}, {'subject': 'matrix ForestVale'}, {'subject': 'chondrules ForestVale'}, {'subject': 'CAIs ForestVale'}, {'subject': 'matrix Iran009'}, {'subject': 'chondrules Iran009'}, {'subject': 'CAIs Iran009'}, {'subject': 'matrix Iran011'}, {'subject': 'chondrules Iran011'}, {'subject': 'CAIs Iran011'}, {'subject': 'matrix Kernouve'}, {'subject': 'chondrules Kernouve'}, {'subject': 'CAIs Kernouve'}, {'subject': 'matrix Lancon'}, {'subject': 'chondrules Lancon'}, {'subject': 'CAIs Lancon'}, {'subject': 'matrix LimonVerde004'}, {'subject': 'chondrules LimonVerde004'}, {'subject': 'CAIs LimonVerde004'}, {'subject': 'matrix LOV083'}, {'subject': 'chondrules LOV083'}, {'subject': 'CAIs LOV083'}, {'subject': 'matrix LOV147'}, {'subject': 'chondrules LOV147'}, {'subject': 'CAIs LOV147'}, {'subject': 'matrix LOV155'}, {'subject': 'chondrules LOV155'}, {'subject': 'CAIs LOV155'}, {'subject': 'matrix LOV416'}, {'subject': 'chondrules LOV416'}, {'subject': 'CAIs LOV416'}, {'subject': 'matrix LOV423'}, {'subject': 'chondrules LOV423'}, {'subject': 'CAIs LOV423'}, {'subject': 'matrix LOV432'}, {'subject': 'chondrules LOV432'}, {'subject': 'CAIs LOV432'}, {'subject': 'matrix MonteDasFortes'}, {'subject': 'chondrules MonteDasFortes'}, {'subject': 'CAIs MonteDasFortes'}, {'subject': 'matrix Moshampa'}, {'subject': 'chondrules Moshampa'}, {'subject': 'CAIs Moshampa'}, {'subject': 'matrix MountTazerzait'}, {'subject': 'chondrules MountTazerzait'}, {'subject': 'CAIs MountTazerzait'}, {'subject': 'matrix NWA12475'}, {'subject': 'chondrules NWA12475'}, {'subject': 'CAIs NWA12475'}, {'subject': 'matrix NWA12546'}, {'subject': 'chondrules NWA12546'}, {'subject': 'CAIs NWA12546'}, {'subject': 'matrix NWA12556'}, {'subject': 'chondrules NWA12556'}, {'subject': 'CAIs NWA12556'}, {'subject': 'matrix NWA12961'}, {'subject': 'chondrules NWA12961'}, {'subject': 'CAIs NWA12961'}, {'subject': 'matrix NWA13838'}, {'subject': 'chondrules NWA13838'}, {'subject': 'CAIs NWA13838'}, {'subject': 'matrix NWA7283'}, {'subject': 'chondrules NWA7283'}, {'subject': 'CAIs NWA7283'}, {'subject': 'matrix NWA8628'}, {'subject': 'chondrules NWA8628'}, {'subject': 'CAIs NWA8628'}, {'subject': 'matrix NWA8275'}, {'subject': 'chondrules NWA8275'}, {'subject': 'CAIs NWA8275'}, {'subject': 'matrix NWA8477'}, {'subject': 'chondrules NWA8477'}, {'subject': 'CAIs NWA8477'}, {'subject': 'matrix Paposo012'}, {'subject': 'chondrules Paposo012'}, {'subject': 'CAIs Paposo012'}, {'subject': 'matrix SaintSeverin'}, {'subject': 'chondrules SaintSeverin'}, {'subject': 'CAIs SaintSeverin'}, {'subject': 'matrix SokoBanja'}, {'subject': 'chondrules SokoBanja'}, {'subject': 'CAIs SokoBanja'}, {'subject': 'matrix SteMarguerite'}, {'subject': 'chondrules SteMarguerite'}, {'subject': 'CAIs SteMarguerite'}, {'subject': 'matrix Tamdakht'}, {'subject': 'chondrules Tamdakht'}, {'subject': 'CAIs Tamdakht'}, {'subject': 'matrix TaqtaqERasoul'}, {'subject': 'chondrules TaqtaqERasoul'}, {'subject': 'CAIs TaqtaqERasoul'}, {'subject': 'matrix Tuxtuac'}, {'subject': 'chondrules Tuxtuac'}, {'subject': 'CAIs Tuxtuac'}, {'subject': 'matrix Vinales'}, {'subject': 'chondrules Vinales'}, {'subject': 'CAIs Vinales'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['39 spectra'],['ASCII']
-10.26302/sshade/experiment_cl_20181201_02,Ion irradiation ($He^+$) of a FRO95002 meteorite pellet probed by Vis-NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR spectra of FRO95002 meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T15:13:07.000Z,2022-05-27T15:13:08.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CO,complex organic-mineral mix,matrix FRO95002,complex mineral mix,chondrules FRO95002,CAIs FRO95002,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CO'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix FRO95002'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules FRO95002'}, {'subject': 'CAIs FRO95002'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.5281/zenodo.7763080,URPEACE - Grenoble,Zenodo,2023,fr,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This study aims to contribute to knowledge about the peace-building agency of civilian actors in marginalized social-housing neighborhoods, who deal with the consequences of terrorist violence in European cities. The bulk of peace and conflict studies literature has provided insight in the dynamics of violence rather than peace. The innovative character of this study therefore is that it interprets existing and new data on dealing with violence with a novel approach, that of geographies of peace. This innovative approach breaks with the tendency of peace and conflict studies to focus on the Global South, state processes and armed conflict and makes it very relevant for studying initiatives in European cities that deal with the aftermaths of paroxysmal violence. The study draws on data collected in three different cities: Grenoble, Basel/Freiburg and Brcko. This dataset concerns the data that has been collected in Grenoble. URPEACE worked in Grenoble with existing data collected by the researcher during long-term research (2015-2018) carried Claske Dijkema for her PhD. (https://theses.hal.science/tel-03420654/file/DIJKEMA_2021_archivage.pdf) Data was originally collected with the aim to rethink the stigmatization of marginalized social housing neighborhoods (MSHN) in France and to make alternative realities visible that have so far remained under the radar of social science research. Its focus is in particular on neighborhood youth and Muslim women. A lot of data has been collected throughout my long-term ethnographic and participatory field research that have not been previously explored. In the context of paroxysmal violence (urban, terrorist and youth violence) in the neighborhood, the issue of peace and how it can be built were recurrent themes that have not been the focus of my PhD manuscript. The method of data collection has been developed in order to deal with the methodological challenge that power asymmetry between the researcher and research particpants constitutes for qualitative research. The latter heavily relies on speech. However, using speech as a method with people whose voices are silenced, poses a methodological challenge. In a context of subalternization, territorial stigmatization and urban violence in marginalized social-housing neighborhoods, the developed method contributes to creating spaces of speech. A space of speech refers to a space in which speech becomes possible because it is configured in such a way that power dynamics are mitigated. In the context of this study there are 4 different spaces of speech Meetings Street debates (see document ""More info street debates"") Discussion circles/workshops/focus groups Public debates In this space a public comes together and exchanges with each other about a specific theme. It belongs to the public sphere and is publicly accessible; it may form in public space but is more often a space that is closed by walls and a door as this closure offers a form of protection and separates the space from the street. This method can be considered as a specific form of participatory action-research with different local initiatives in two marginalized social-housing neighborhoods in Grenoble (Villeneuve and Echirolles) in a context of post-violence. These local initiatives are (among others): UniversitÃ© Populaire de Villeneuve Agir pour la Paix Nous Citoyennes Marche Blanche Creating spaces of speech and public debates as a research method has allowed the co-production of the following primary data: field notes, and in the case of the plenary debates of the UniversitÃ© populaire video and audio recordings in addition to field notes. Table 1 lists which spaces of speech produced which kind of data. <strong>Table 1 The data produced in different spaces of speech</strong> <strong>Space of Speech</strong> <strong>Number</strong> <strong>Data</strong> <strong>Meetings</strong> UP meetings 2017 6 Audio recording, transcripts Other working groups 30 Written field notes, notebook <strong>Workshops</strong> Discussion circles UP 2 Video and audio recording, transcripts Workshops APLP 6 Field notes Workshops Marchons 4 Field notes, partly audio-recorded but not transcribed Workshops UP 1 Field Notes <strong>Street debates</strong> UP 5 Field notes, summary document APLP 2 Field notes Villeneuve Debout 1 Field notes <strong>Plenary debates</strong> UP 16 Audio and video recordings, pictures, Field notes, proceedings Other 25 Field notes <br> <strong>Types and formats of data </strong> <em>The existing dataset (retrospective) exists of: </em> Ethnographic observations and informal discussions (field notes) Transcripts of public debates (10) Zines published after public debates (7) Flyers of public debates Documents by local actors Transcripts of 20 interviews (audio-recorded) Videos produced by the UniversitÃ© Populaire (6) <br> <strong>Field notes</strong> The collected field notes fit into two categories: 1) notes written in a notebook during working group meetings and debates, which were a combination of logistical organization, the stories I heard and my own observations; 2) notes written on the computer once I returned to my desk (at home or at the University) after meetings or debates, or other spaces of speech. They are both descriptive and reflective. Field notes are separated in different documents: 10 written workbooks and word documents organized per year (2013-2019). <em><strong>The field notes have been written for personal use and are closed for access.</strong></em> <strong>List of plenary debates</strong> The table below provides a list of all the plenary debates I have been involved as co-organizer. The list provides information about the title of the debate, where they took place (PLACE) and how many people participated (PART.). Five categories indicate the number of people present at each debate: 1) 5-25; 2) 25 â€“ 50; 3) 50 -75; 4) 75 â€“ 100; 5) + 100. <em><strong>The last column indicates the documents that are accessible in this repository (x= available; - = accessible upon request).</strong></em> <strong>Table 2 Overview of plenary debates</strong> <strong>2013</strong> <strong>PLENARY DEBATES</strong> <strong>PLACE</strong> <strong>PART.</strong> 16-fÃ©vr Villeneuve Debout - Repas Citoyen ""Violence dans le quartier, parlons-en!"" La CordÃ©e, Villeneuve 3 x 14-nov Villeneuve - DÃ©cryptage public de EnvoyÃ© spÃ©cial Salle 150, Villeneuve 3 x <strong>2014</strong> <strong>PLENARY DEBATES</strong> <strong>PLACE</strong> 17-juin Marche Blanche and Villeneuve Debout- â€œComprende et agir sur la violence, soirÃ©e hommage Ã  Kevin et Sofianeâ€ MusÃ©e de Grenoble 5 x 02-oct Marche Blanche â€“ International Day of Nonviolence LycÃ©e Marie Curie Echirolles 5 x <strong>2015</strong> <strong>PLENARY DEBATES</strong> <strong>PLACE</strong> 20-mars UP Cycle I â€œPour comprendre les discriminations, l'islamophobie etcâ€ <strong>â€“ UP Cahier 1</strong> Salle Polyvalente des Baladins 4 x 11-mai MJC Roseaux - Latifa Ibn Ziaten - Jessy Cormont Maison de Quartier Aragon 3 - 31-mai Fringale/FUIQP â€“ â€œQuartiers populaires et luttes contre lâ€™islamophobie, la lutte des femmes â€“ Rencontre avec Ismahane Chouderâ€ MJC lâ€™Abbaye 3 x 02-juil MJC Roseaux - RÃ©union public aprÃ¨s la mort de Luc Pouvin Maison de Quartier Aragon 4 - 21-sept UP Cycle I â€œPour comprendre - histoire d'immigrÃ©â€ Salle Polyvalente des Baladins 2 - 02-oct 2 October collective â€“ Debate at high school with activists involved in MSHN struggles using non-violent methods College Henri Vallon 5 x 02-oct 2 October collective â€“ Debate with APLP â€œComment faire sociÃ©tÃ© au-delÃ  de nos diffÃ©rences?â€ Alpexpo 2 x 02-oct 2 October collective â€“ Debate â€œQuelle mobilisation collective pouvons-nous mettre en place pour rÃ©pondre de faÃ§on nonviolente aux violences?â€ Alpexpo 3 - 02-oct 2 October collective â€“ International Day of Nonviolence<br> <strong>- Magazine: Marchons 2015</strong> Summum 5+ x 24-oct MJC les Roseaux â€“ â€œJournÃ©e tous ensemble contre les violencesâ€ Lâ€™Heure Bleue, Saint Martin dâ€™HÃ¨res 5 x 28-oct Fringale/FUIQP Projection dÃ©bat ""Qui a tuÃ© Ali Ziri"" CinÃ©ma le Club, centre-ville 5 - 20-nov UP Cycle I â€œPour Comprendre les ZEP, ZUP, ZUS, ZSP - Said Bouamamaâ€ <strong>â€“ UP Cahier 2</strong> Salle Polyvalente des Baladins 5 x 19 dec Fringale/FUIQP - Restitution Marche pour la DignitÃ© Ã  Paris MJC Desnos 1 x <strong>2016</strong> <strong>PLENARY DEBATES</strong> <strong>PLACE</strong> 11-mars UP Cycle I â€œPour comprendre la libertÃ© d'expressionâ€ <strong>â€“ UP Cahier 2<br> â€“ Texte: UP libertÃ© expression extraits paroles Ã  citer<br> â€“ Videos </strong> <strong>UniversitÃ© populaire de la Villeneuve, PrÃ©fuguration (3â€™45)<br> UniversitÃ© populaire de la Villeneuve (1) version courte (7â€™32)</strong> <strong>UniversitÃ© populaire de la Villeneuve (2) version longue (43â€™07)</strong> Salle Polyvalente des Baladins 3 x 03-juin UP Cycle I â€œPour comprendre la gÃ©opolitiqueâ€ Salle Polyvalente des Baladins 3 x 10-juin UP Cycle I â€œPour comprendre le djihadismeâ€ Salle Polyvalente des Baladins 3 x 25-sept APLP â€“ Debate with the Danish resource center in Norrbro theme â€œFace aux reprÃ©sentations politiques, peut-on Ãªtre religieux et citoyen en Europe aujourdâ€™hui?â€ MJC Desnos 2 - 2 - Oct 2 October collective â€“ International Day of Nonviolence <strong>- Magazine: Marchons 2015</strong> Alpexpo 5+ x <strong>2017</strong> <strong>PLENARY DEBATES</strong> <strong>PLACE</strong> 01-avr FUIQP (co-organizer) - Table-ronde regards croisÃ©s ""Violences policiÃ¨res, islamophobie, racisme d'Etat et sionisme dans la politique franÃ§aise: <em>Khlass</em> la <em>hogra</em>"" Salle 150, Villeneuve 3 - 13-avr MJC des Roseaux - Debate with youth from several neighborhoods in Grenoble (mÃ©tropole) and Molenbeek organized by Jeunes Debout. Participation youth from Villeneuve organized by <em>service jeunesse</em> Maison de Quartier Aragon 4 - 01-juil Ad hoc public debate incendie collÃ¨ge -dialogue des savoirs avec parents d'Ã©lÃ¨ves Parc de la Villeneuve 2 - 13-oct UP Cycle II - ""MÃ©moires de la colonisation, entre rÃ©cits et tabous""<br> <strong>â€“ UP Cahier 3</strong> MDH des Baladins 3 - 20-oct UP Cycle II - soirÃ©e film MDH des Baladins 2 - 10-nov UP Cycle II - ""La France et ses colonies"" <strong>â€“ UP Cahier 4</strong> Salle Polyvalente des Baladins 2 x 20-nov UP Cycle II - ""La guerre d'AlgÃ©rie, connaÃ®tre les faits"" 1 La CordÃ©e 2 - 22-nov UP Cycle II - ""La guerre d'AlgÃ©rie, connaÃ®tre les faits"" 2 La CordÃ©e 2 - 24-nov UP Cycle II - ""La guerre d'AlgÃ©rie, connaÃ®tre les faits"" 3 La CordÃ©e 2 - 08-dÃ©c UP Cycle II - ""Quelles continuitÃ©s de l'imaginaire colonial aprÃ¨s 1960?"" <strong>â€“ UP Cahier 5</strong> Salle Polyvalente des Baladins 3 x <strong>2018</strong> <strong>PLENARY DEBATES</strong> <strong>PLACE</strong> 21-janv UP Cycle II - ""Repenser le monde avec CÃ©saire, Fanon et Glissant"" <strong>â€“ UP Cahier 6</strong> La CordÃ©e 4 x 24-janv Court trial Chaambi Grenoble - soirÃ©e dÃ©bat â€œQuelles libertÃ©s pour nos luttes?â€ Solexine,<br> centre-ville 2 - 26-avr UP Cycle II -""MixitÃ© sociale, injonction Ã ",mds,True,findable,0,0,0,0,0,2023-06-19T12:00:43.000Z,2023-06-19T12:00:43.000Z,cern.zenodo,cern,"social housing neighborhoods,territorial stigmatization,racism,islamophobia,terrorist violence,colonialism,France,social movements","[{'subject': 'social housing neighborhoods'}, {'subject': 'territorial stigmatization'}, {'subject': 'racism'}, {'subject': 'islamophobia'}, {'subject': 'terrorist violence'}, {'subject': 'colonialism'}, {'subject': 'France'}, {'subject': 'social movements'}]",,
-10.5281/zenodo.5120376,Ensemble of ice shelf basal melt rates and ocean properties for tipped-over continental shelves,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Summary</strong><strong>:</strong> This dataset contains the reference and tipped states from several model configurations developed at the Alfred Wegener Institute (AWI) and the Institut des GÃ©osciences de lâ€™Environnement (IGE). They were gathered here in the context of the TiPACCs European project and constitute a useful ensemble of reference and tipped oceanâ€“ice-shelf simulations that <strong>can be used to feed ice-sheet simulations or to train melt parameterizations</strong>. The simulations produced by AWI are based on the FESOM global oceanâ€“sea-ice model using either Z- or Sigma- coordinates and all show a cold-to-warm tipping point for Filchner-Ronne Ice Shelf. The two sets of simulations produced by IGE are based on the NEMO oceanâ€“sea-ice model. They include a global configuration showing a cold-to-warm tipping point for Ross Ice Shelf, and regional Amundsen Sea configuration showing a warm-to-warmer transition (likely not a proper tipping point). The files include 3-dimensional and sea-floor ocean temperatures and salinities, ice-shelf melt rates, as well as topographic and grid data. All variables are interpolated onto the common 8km stereographic grid that was used to provide ocean forcing in ISMIP6 (Nowicki et al. 2020). We provide the reference state and the anomaly, so that the tipped state is: <em>Tipped = Reference + Anomaly</em> To have an overview of the reference and tipped states, have a look at these figures: <em>figure_ref_and_anomalies_1.pdf</em> <em>figure_ref_and_anomalies_2.pdf</em> <em>figure_seafloor_temp_zooms.pdf</em> _______________________________________________ <strong>Detailed Data Description</strong><strong>:</strong> <strong>reference_high_FESOM_sigma_AWI_TiPACCs.nc</strong> contact: Ralph Timmermann ralph.timmermann@awi.de, Verena Haid verena.haid@awi.de model: FESOM1.4, sigma-coordinates (global with refined grid around Antarctica) atmospheric forcing: HadCM3 20C provided average: 1990-1999 (10-year mean) more: Timmermann and Hellmer (2013) <strong>reference_low_FESOM_sigma_AWI_TiPACCs.nc</strong> contact: Ralph Timmermann ralph.timmermann@awi.de, Verena Haid verena.haid@awi.de model: FESOM1.4, sigma-coordinates (global with refined grid around Antarctica) atmospheric forcing: HadCM3 20C provided average: 1990-1999 (10-year mean) more: Timmermann and Goeller (2017) <strong>reference_FESOM_z_AWI_TiPACCs.nc</strong> contact: Verena Haid verena.haid@awi.de model: FESOM1.4, Z-coordinates (global with refined grid around Antarctica) atmospheric forcing: ERA Interim provided average: 2008-2017 (10-year mean), i.e. model year 30-39 more: same mesh as GÃ¼rses et al. (2019) <strong>reference_NEMO4_eORCA025.L121_IGE_TiPACCs.nc</strong> contact: Pierre Mathiot pierre.mathiot@univ-grenoble-alpes.fr model: NEMO-4.0, eORCA025.L121 (Global, 1/4Â°, 121 vertical levels) atmospheric forcing: JRA55do provided average: 2<sup>nd</sup> cycle of 1989-1998 (10-year mean); we first run 1979-2018, and we redo 1979-1998 starting from the 2018 state. more: https://pmathiot.github.io/NEMOCFG/docs/build/html/simu_eORCA025_OPM021.html <strong>reference_NEMO3_AMUXL12.L75_IGE_TiPACCs.nc</strong> contact: Nicolas Jourdain nicolas.jourdain@univ-grenoble-alpes.fr model: NEMO-3.6, AMUXL12.L75 (Amundsen, 1/12Â°, 75 vertical levels) atmospheric forcing: MAR (Donat-Magnin et al. 2020) provided average: 1989-2009 (21-year mean) more: similar model set-up as Jourdain et al. (2019). <strong>anomaly_high_FESOM_sigma_AWI_TiPACCs.nc</strong> continuation of reference_high_FESOM_sigma_AWI_TiPACCs.nc forced with HadCM3 A1B provided average: 2190-2199 (10-year mean) <strong>anomaly_low_FESOM_sigma_AWI_TiPACCs.nc</strong> continuation of reference_low_FESOM_sigma_AWI_TiPACCs.nc forced with HadCM3 A1B provided average: 2190-2199 (10-year mean) <strong>anomaly_high_FESOM_z_AWI_TiPACCs.nc</strong> same model set-up as reference_FESOM_z_AWI_TiPACCs.nc atmospheric forcing south of 60Â°S HadCM3 A1B starting 2050, otherwise ERA Interim starting 1979 provided average: model year 69-78 (10-year mean), i.e. 2008-2017 of 2<sup>nd</sup> 39yr-cycle <strong>anomaly_medium_FESOM_z_AWI_TiPACCs.nc</strong> same model set-up as reference_FESOM_z_AWI_TiPACCs.nc atmospheric forcing: ERA Interim modified with a strong imprint of the seasonal cycle of HadCM3 A1B 2070-2089 provided average: model year 69-78 (10-year mean), i.e. 2008-2017 of 2<sup>nd</sup> 39yr-cycle <strong>anomaly_low_FESOM_z_AWI_TiPACCs.nc</strong> same model set-up as reference_FESOM_z_AWI_TiPACCs.nc atmospheric forcing: manipulated ERA Interim with prolongued summer and shorter, milder winter south of 50Â°S, additional modification of winds in Weddell Sea region provided average: model year 108-117 (10-year mean), i.e. 2008-2017 of 3<sup>rd</sup> 39yr-cycle <strong>anomaly_NEMO4_eORCA025.L121_IGE_TiPACCs.nc</strong> similar to reference_NEMO4_eORCA025.L121_IGE_TiPACCs.nc perturbation of the model parameters: Different iceberg distribution and different sea-iceâ€“ocean drag and snow conductivity on sea-ice, leading to less sea-ice production in the eastern Ross Sea. More: https://pmathiot.github.io/NEMOCFG/docs/build/html/simu_eORCA025_OPM020.html <strong>anomaly_NEMO3_AMUXL12.L75_IGE_TiPACCs.nc</strong> similar to reference_NEMO3_AMUXL12.L75_IGE_TiPACCs.nc perturbation of atmospheric forcing: MAR forced by the CMIP5 multi-model anomaly under the RCP8.5 scenario (Donat-Magnin et al. 2021). provided average: 2080-2100 (21-year average)",mds,True,findable,0,0,0,0,0,2021-07-21T19:18:55.000Z,2021-07-21T19:18:56.000Z,cern.zenodo,cern,"Tipping point,Antarctica,Ice shelf,Southern Ocean","[{'subject': 'Tipping point'}, {'subject': 'Antarctica'}, {'subject': 'Ice shelf'}, {'subject': 'Southern Ocean'}]",,
-10.5281/zenodo.1009126,Esa Seom-Ias â€“ Spectroscopic Parameters Database 2.3 Îœm Region,Zenodo,2017,,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","The database contains molecular absorption line parameters obtained within the framework of the esa project SEOM-IAS (Scientific Exploitation of Operational Missions - Improved Atmospheric Spectroscopy Databases), ESA/AO/1-7566/13/I-BG. Details on the project can be found at http://www.wdc.dlr.de/seom-ias/.
-
-FTS and CRDS measurements (performed at the German Aersopace Center (DLR) and at UniversitÃ© Grenoble Alpes) were analyzed in the spectral range 4190-4340 cm<sup>-1</sup> within the framework of the esa project SEOM-IAS resulting in an improved line parameter database of H<sub>2</sub>O, CH<sub>4</sub> and CO absorption lines according to the needs of the TROPOMI instrument aboard the Sentinel 5-P satellite. The parameters are compiled in three ASCII files, one for each molecule (CH4_sigma_S_air_broadening_Tdep_May17_V3.hit, H2O_May17_V3.hit, CO_Sep16.hit).",,True,findable,22,0,0,0,0,2017-10-11T15:09:40.000Z,2017-10-11T15:09:40.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.16786762,Additional file 4 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 4. Study sites.,mds,True,findable,0,0,16,1,0,2021-10-12T03:42:09.000Z,2021-10-12T03:42:12.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['13909 Bytes'],
-10.26302/sshade/experiment_kd_20170711,"Mass Absorption Coefficient of 4 Mg-rich glassy silicates (1-x)MgO-xSiO2, 10 - 300 K",SSHADE/STOPCODA (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","MIR, FIR and sub-mm (5-1000 Âµm) mass absorption coefficient (cm2/g) and optical constants spectra of 4 Mg-rich glassy silicates (1-x)MgO-xSiO2, x=0.35, 0.40 and 0.50, at 10, 100, 200 and 300 K",mds,True,findable,0,0,0,0,0,2021-02-05T12:39:50.000Z,2021-02-05T12:39:51.000Z,inist.sshade,mgeg,"solid,laboratory,non-oxide ceramic,Glassy silicate (1-x)MgO-xSiO2 x=0.35,commercial,homopolymer,Polyethylene HDPE,bromide,Potassium bromide KBr,Glassy silicate (1-x)MgO-xSiO2 x=0.40,Glassy silicate (1-x)MgO-xSiO2 x=0.50,Glassy silicate (1-x)MgO-xSiO2 x=0.50, X50B,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,sub-mm,absorption coefficient","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'non-oxide ceramic'}, {'subject': 'Glassy silicate (1-x)MgO-xSiO2 x=0.35'}, {'subject': 'commercial'}, {'subject': 'homopolymer'}, {'subject': 'Polyethylene HDPE'}, {'subject': 'bromide'}, {'subject': 'Potassium bromide KBr'}, {'subject': 'Glassy silicate (1-x)MgO-xSiO2 x=0.40'}, {'subject': 'Glassy silicate (1-x)MgO-xSiO2 x=0.50'}, {'subject': 'Glassy silicate (1-x)MgO-xSiO2 x=0.50, X50B'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'sub-mm'}, {'subject': 'absorption coefficient'}]",['16 spectra'],['ASCII']
-10.26302/sshade/experiment_dt_20180710_002,Ga K edge XAS fluorescence of gallium bromide solution in hydrothermal conditions at 300bars and between 300 and 670K,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Two concentrations: Ga3+ 0.17m, Br- 0.51m and Ga3+ 0.017m, Br- 0.051m; temperature varying from 300 to 670K",mds,True,findable,0,0,0,0,0,2019-12-05T09:14:46.000Z,2019-12-05T09:14:47.000Z,inist.sshade,mgeg,"laboratory,liquid solution,Gallium bromide solution in hydrothermal conditions: Ga3+ 0.17m, Br- 0.51m,Gallium bromide solution in hydrothermal conditions: Ga3+ 0.017m, Br- 0.051m,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'liquid solution'}, {'subject': 'Gallium bromide solution in hydrothermal conditions: Ga3+ 0.17m, Br- 0.51m'}, {'subject': 'Gallium bromide solution in hydrothermal conditions: Ga3+ 0.017m, Br- 0.051m'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['18 spectra'],['ASCII']
-10.6084/m9.figshare.22625623,"Additional file 6 of A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 6.,mds,True,findable,0,0,0,0,0,2023-04-13T18:56:19.000Z,2023-04-13T18:56:20.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['190912 Bytes'],
-10.5281/zenodo.5838249,ACAM - Apposed Cortex Adhesion Model,Zenodo,2022,,Software,"GNU General Public License v2.0 or later,Open Access","<strong>ACAM: an Apposed-Cortex Adhesion Model of an epithelial tissue.</strong> The <code>ACAM</code> library is an implementation of a mechanical model of an active epithelial tissue. See bioRxiv 10.1101/2021.04.11.439313 for the modelling and results. <strong>How is the cell cortex represented?</strong> Each cell cortex in ACAM is represented as an active, continuum morphoelastic rod with resistance to bending and extension. By explicitly considering both cortices along bicellular junctions, the model is able to replicate important cell behaviours that are not captured in many existing models e.g. cell-cell shearing and material flow around cell vertices. <strong>How are adhesions represented?</strong> Adhesions are modelled as simple springs, explicitly coupling neighbouring cell cortices. Adhesion molecules are given a characteristic timescale, representing the average time between binding and unbinding, which modules tissue dynamics.",mds,True,findable,0,0,0,0,0,2022-01-11T15:53:38.000Z,2022-01-11T15:53:39.000Z,cern.zenodo,cern,"mechanics,biophysics,living tissue","[{'subject': 'mechanics'}, {'subject': 'biophysics'}, {'subject': 'living tissue'}]",,
-10.17178/cryobsclim.clb.lacblanc,"Lac Blanc, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate â€“ Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:36.000Z,2018-04-09T10:16:37.000Z,inist.osug,jbru,"Wind speed,Wind direction,Air temperature,Snow depth","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Air temperature', 'subjectScheme': 'main'}, {'subject': 'Snow depth', 'subjectScheme': 'main'}]",,['CSV']
-10.5281/zenodo.3870657,Data accompanying: Impacts into a porous graphite: an investigation on crater formation and ejecta distribution,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Reconstructed X-ray tomographies and python analysis scripts for the publication ""Impacts into a porous graphite: an investigation on crater formation and ejecta distribution"" Uses the spam python toolkit, which can probably be replaced by scipy.ndimage.center_of_mass if needed.",mds,True,findable,0,0,0,0,0,2022-10-03T07:27:54.000Z,2022-10-03T07:27:55.000Z,cern.zenodo,cern,"x-ray tomography,impact crater,porous graphite","[{'subject': 'x-ray tomography'}, {'subject': 'impact crater'}, {'subject': 'porous graphite'}]",,
-10.6084/m9.figshare.22625614,"Additional file 3 of A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 3.,mds,True,findable,0,0,0,0,0,2023-04-13T18:56:28.000Z,2023-04-13T18:56:29.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['359400 Bytes'],
-10.6084/m9.figshare.24165071,Additional file 1 of Non-ventilator-associated ICU-acquired pneumonia (NV-ICU-AP) in patients with acute exacerbation of COPD: From the French OUTCOMEREA cohort,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Members of the OutcomeRea Network.,mds,True,findable,0,0,33,0,0,2023-09-20T03:22:50.000Z,2023-09-20T03:22:50.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Genetics,Molecular Biology,Neuroscience,Biotechnology,Evolutionary Biology,Immunology,FOS: Clinical medicine,Cancer,Science Policy,Virology","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}, {'subject': 'Molecular Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Evolutionary Biology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Virology'}]",['107186 Bytes'],
-10.25384/sage.c.6837354,Perceived Quality of Life in Intensive Care Medicine Physicians: A French National Survey,SAGE Journals,2023,,Collection,Creative Commons Attribution 4.0 International,"PurposeThere is a growing interest in the quality of work life (QWL) of healthcare professionals and staff well-being. We decided to measure the perceived QWL of ICU physicians and the factors that could influence their perception. <b>Methods:</b> We performed a survey coordinated and executed by the French Trade Union of Intensive Care Physicians (SMR). QWL was assessed using the French version of the Work-Related Quality of Life (WRQoL) scale, perceived stress using the French version of 10 item-Perceived Stress Scale (PSS-10) and group functioning using the French version of the Reflexivity Scale, the Social Support at Work Questionnaire (QSSP-P). <b>Results:</b> 308 French-speaking ICU physicians participated. 40% perceived low WRQoL, mainly due to low general well-being, low satisfaction with working conditions and low possibility of managing the articulation between their private and professional lives. Decreased QWL was associated with being a woman (p = .002), having children (p = .022) and enduring many monthly shifts (p = .022). <b>Conclusions:</b> This work highlights the fact that ICU physicians feel a significant imbalance between the demands of their profession and the resources at their disposal. Communication and exchanges within a team and quality of social support appear to be positive elements to maintain and/or develop within our structures.",mds,True,findable,0,0,0,0,0,2023-09-15T12:11:54.000Z,2023-09-15T12:11:54.000Z,figshare.sage,sage,"Emergency Medicine,Aged Health Care,Respiratory Diseases","[{'subject': 'Emergency Medicine'}, {'subject': 'Aged Health Care'}, {'subject': 'Respiratory Diseases'}]",,
-10.5281/zenodo.3648639,Results of the CNRS benchmark,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Raw results obtained by each partner performing the CNRS benchmark.,mds,True,findable,0,0,0,1,0,2020-02-07T18:07:02.000Z,2020-02-07T18:07:02.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.dv41ns1wf,Data from: Variability of the atmospheric PM10 microbiome in three climatic regions of France,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Air pollution is a major public-health concern and it is recognized that particulate matter causes damage to human health through oxidative-stress, being responsible for several million premature deaths worldwide each year. Recent findings showed that, airborne microorganisms/spores can modulate aerosol toxicity by altering the oxidative potential of PM10. Primary Biogenic Organic Aerosols (PBOA) appears to be produced by only few genera of microorganisms, emitted by surrounding vegetation in the case of a regionally-homogeneous field site. This study presents the first comprehensive description of the structure and main sources of airborne microbial communities associated with the temporal trends in PM10 SC concentrations at 3 French sites, under different climates. By combining sugar chemistry and DNA Metabarcoding approaches, we intended to identify PM10-associated microbial communities and their main sources at three climatically different sampling-sites in France during summer 2018. This study accounted also for the interannual variability of the structure of summer airborne microbial community associated with PM10-SC concentrations during a consecutive 2-year survey at one site. Our results showed that the temporal evolutions of SC in PM10 in the three sites are associated with the abundance of only few specific airborne fungal and bacterial taxa. These taxa differ significantly between the 3 climatic regions studied. The structure of microbial communities associated with PM10 SC concentrations during a consecutive 2-year survey remained stable in the rural area. The atmospheric concentration levels of PM10 SC-species vary significantly between the 3 studied sites, but with no clear difference according to site typology (rural vs urban), suggesting that SC emissions are more related to regional climatic characteristics. The overall microbial beta diversity in PM10 samples is significantly different from that of the main vegetation around the studied urban sites. This indicates that airborne microorganisms at such urban sites do not originate only from the immediate surrounding vegetation, which is contrasting with observations at the scale of a regionally homogeneous rural site made in 2017. These results improve our understanding of the spatial behavior of tracers of PBOA emission sources, which need to be better characterized to further implement this important OM-mass fraction into CTM models.",mds,True,findable,154,17,0,0,0,2020-11-17T19:51:29.000Z,2020-11-17T19:51:31.000Z,dryad.dryad,dryad,,,['4509672 bytes'],
-10.15778/resif.yt2003,MOBAL Mongolia-Baikal transect (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2010,en,Other,"Open Access,Creative Commons Attribution 4.0 International","The 2003 MOBAL Experiment aimed at imaging the crustal and upper mantle structure from the Siberian platform in the north to the Gobi-Altay range in the south, in order to provide geodynamic constraints to deep lithosphere and asthenosphere velocities and deformations, and their relations to the Siberian craton, the Baikal rift, the Hangay dome and the large scale strike-slip faults of Sayan, Bolnay and Bogd. Several observations suggest a hot upper mantle beneath central Mongolia likely associated to a lithosphere thinning, that may also explain the anomalous elevation associated to the Hangay dome. The MOBAL experiment was followed by an aftershock sequence observation after the 2003 Chuya earthaquake.",mds,True,findable,0,0,0,5,0,2018-04-04T13:47:29.000Z,2018-04-04T13:47:29.000Z,inist.resif,vcob,"Seismology,Mongolia,Lithospheric structure,Hangay dome,Siberian craton,Sayan fault,Baikal rift","[{'subject': 'Seismology'}, {'subject': 'Mongolia'}, {'subject': 'Lithospheric structure'}, {'subject': 'Hangay dome'}, {'subject': 'Siberian craton'}, {'subject': 'Sayan fault'}, {'subject': 'Baikal rift'}]",,
-10.18709/perscido.2022.09.ds376,"Snow status (wet/dry) in Antarctica from SMMR, SSM/I, AMSR-E and AMSR2 passive microwave radiometers",PerSCiDO,2022,,Dataset,,"The dataset provides daily binary status (wet/dry) of the snowpack for each pixel at 25 or 12.5 km resolution in Antarctica. This status is retrieved from passive microwave observation at 19 GHz and horizontal polarisation, using an algorithm developed by Torinesi et al. 2013 and Picard and Fily, 2006.
-
-
-The dataset comprises three timeseries. The longest starts in 1979 and includes observations from SMMR and SSM/I sensors. It has a coarse effective resolution of ~60km and has many data gaps  especially during the SMMR period (<1987). The two other timeseries are from AMSR-E and AMSR2 sensors which features a twice-finer effective resolution, about ~25 km. There are less gaps except in 2011/2012 between AMSR-E and AMSR2.",api,True,findable,0,0,0,1,0,2022-09-13T07:05:11.000Z,2022-09-13T07:05:12.000Z,inist.persyval,vcob,glaciology,"[{'subject': 'glaciology', 'subjectScheme': 'https://perscido.univ-grenoble-alpes.fr/glaciology'}]",['10 Mo'],
-10.6084/m9.figshare.14450784,Additional file 2 of Rare deleterious mutations of HNRNP genes result in shared neurodevelopmental disorders,figshare,2021,,Text,Creative Commons Attribution 4.0 International,"Additional file 2: Supplementary Figures S1-S5.Â Fig. S1. Dendrogram of hnRNPs based on multiple sequence alignment of canonical amino acid sequences. Colors match those seen in Fig. 2. NDD hnRNPs are shown in black boxes. Fig. S2. Pathogenicity assessment of variation in hnRNPs. A) Gene Variation Intolerance Ranking (GeVIR), loss-of-function observed/expected upper bound fraction (LOEUF), and Variation Intolerant Region Loss-of-Function (VIRLoF) percentiles. Average LOEUF percentile is significantly higher for NDD HNRNPs (nâ€‰=â€‰13) compared to other HNRNPs (nâ€‰=â€‰15). B) Average fold change for GeVIR, LEOUF, and VIRLoF for autosomal dominant (AD) and autosomal recessive (AR) variants. Average LEOUF fold change for AD mutations is significantly higher for NDD HNRNPs compared to other HNRNPs, with the AD VIRLoF fold change trending in the same direction. The AR LEOUF fold change is trending towards being significantly higher among other HNRNPs compared to NDD HNRNPs. One-way t-test. * pâ€‰&lt;â€‰0.05. Fig. S3. Expression of HNRNPs among adult tissues and the developing human cortex. A) Heatmap of all HNRNP expression in developing cortex tissues. B) Comparison of fold expression of NDD HNRNPs to non-NDD HNRNPs. C) Heatmap of all HNRNP expression (transcript level expression) in adult brain tissues from GTEx. D) Heatmap of NDD HNRNP expression (transcript level expression) in all tissues from GTEx. Fig. S4. Phenotypic correlations for LGD and missense variant probands. A) Correlation matrix of phenotypes across HNRNP probands with LGD variation (genes with only missense variation excluded) and B) severe missense variation (genes with only LGD variation excluded. * pâ€‰&lt;â€‰0.05; ** pâ€‰&lt;â€‰0.01; *** pâ€‰&lt;â€‰0.001; **** pâ€‰&lt;â€‰0.0001. Fig. S5. Phenotypic comparisons between LGD and missense variants by HNRNP. Fig. S6. GTEx expression of NDD HNRNPs and genes associated with similarly presenting disorders.",mds,True,findable,0,0,85,1,0,2021-04-20T03:46:20.000Z,2021-04-20T03:46:21.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['12872 Bytes'],
-10.5281/zenodo.10204837,"I-MAESTRO data: 42 million trees from three large European landscapes in France, Poland and Slovenia",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Here we present three datasets describing three large European landscapes in France (Bauges Geopark -Â 89,000Â ha), Poland (Milicz forest district -Â 21,000Â ha) and Slovenia (SneÅ¾nik forest - 4,700Â ha) down to the tree level. Individual trees were generated combining inventory plot data, vegetation maps and Airborne Laser Scanning (ALS) data. Together, these landscapes (hereafter virtual landscapes) cover more than 100,000Â ha including about 64,000Â ha of forest and consist of more than 42 million trees of 51 different species.
-For each virtual landscape we provide a table (in .csv format) with the following columns:- cellID25: the unique ID of each 25x25 mÂ²Â cell- sp: species latin names- n: number of trees.Â n is an integer >= 1, meaning that a specific set of species ""sp"", diameter ""dbh"" and height ""h"" can be present multiple times in a cell.- dbh: tree diameter at breast height (cm)- h: tree height (m)
-We also provide, for each virtual landscape, a raster (in .asc format) with the cell IDs (cellID25) which makes data spatialisation possible. The coordinate reference systems are EPSG: 2154 for the Bauges, EPSG: 2180 for Milicz, and EPSG: 3912 for Sneznik.
-The v2.0.0 presents the algorithm in its final state.
-Finally, we provide a proof of how our algorithmÂ makes it possible to reach the total BA and the BA proportion of broadleaf trees provided by the ALS mapping using the alpha correction coefficient and how itÂ maintains the Dg ratios observed on the field plots between the different speciesÂ (see algorithm presented in theÂ associated Open Research EuropeÂ article).
-Below is an example of R code that opens the datasets and creates a tree density map.
-------------------------------------------------------------# load package
-library(terra)
-library(dplyr)
-Â 
-# set work directory
-setwd() Â  Â  Â  Â  Â  Â  Â # define path to the I-MAESTRO_dataÂ folder
-Â 
-# load tree data
-tree <- read.csv2('./sneznik/sneznik_trees.csv', sep = ',')
-Â 
-# load spatial data
-cellID <- rast('./sneznik/sneznik_cellID25.asc')
-Â 
-# set coordinate reference system
-# Bauges:
-# crs(cellID) <- ""epsg:2154""
-# Milicz:
-# crs(cellID) <- ""epsg:2180""
-# Sneznik:
-# crs(cellID) <- ""epsg:3912""
-Â 
-# convert raster into dataframe
-cellIDdf <- as.data.frame(cellID)
-colnames(cellIDdf) <- 'cellID25'
-Â 
-# calculate tree density from tree dataframe
-dens <- tree %>% group_by(cellID25) %>% summarise(n = sum(n))
-Â 
-# merge the two dataframes
-dens <- left_join(cellIDdf, dens, join_by(cellID25))
-Â 
-# add density to raster
-cellID$dens <- dens$n
-Â 
-# plot density map
-plot(cellID$dens)",api,True,findable,0,0,0,0,0,2023-11-24T19:56:53.000Z,2023-11-24T19:56:53.000Z,cern.zenodo,cern,"forest,inventory,landscape,tree-level,airborne laser scanning,downscaling","[{'subject': 'forest'}, {'subject': 'inventory'}, {'subject': 'landscape'}, {'subject': 'tree-level'}, {'subject': 'airborne laser scanning'}, {'subject': 'downscaling'}]",,
-10.5281/zenodo.10688120,Dataset related to article: Equivariant graph neural network interatomic potential for Green-Kubo thermal conductivity in phase change materials,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,This repository contains the dataset to train and test the GeTe Machine Learning Interatomic Potential (MLIP). Â The computational details are given in the manuscript.Â Â ,api,True,findable,0,0,0,0,0,2024-02-21T14:22:27.000Z,2024-02-21T14:22:27.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3899776,COP21: Results and Implications for Pathways and Policies for Low Emissions European Societies,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This database contains national and global level modelling scenario results produced under the COP21:RIPPLES project https://www.cop21ripples.eu/ The data is also hosted in the IIASA RIPPLES Scenario Explorer https://data.ene.iiasa.ac.at/cop21ripples/#/login The National Determined Contributions (NDCs) provide important indications regarding the future GHG emissions and related policies, in relation to the international energy market, technological, economic, trade and financial context. This key information on the development trajectories of major economies is essential for EU policy development as it will determine the global context in which EU policies will evolve. Nevertheless, the NDCs adopt a medium-term horizon and do not provide all the required information to fully characterize the detailed energy system pathways that meet the Paris Agreement (PA) goals. NDCs therefore fall short of characterizing the global trajectories at a sufficiently granular and long-term perspective for informing EU policies. To close this knowledge gap, COP21:RIPPLES aims at analysing the underlying transformations required in the different sectors of the economy to meet the PA mitigation targets. To this purpose, COP21:RIPPLES uses existing scenarios as well as a number of new national and global scenarios. These new scenarios are not conceived themselves as an output of the project but rather as methodological tool to answer specific questions across different Work Packages. For description of the models and scenarios included in each Excel file, see the documentation ""RIPPLES_ScenarioExplorer_Doc_v4.docx"". For more information on these models and scenarios, see the COP21:RIPPLES Deliverables D2.6, D3.2 and D3.5.",mds,True,findable,0,0,0,0,0,2020-06-18T08:20:59.000Z,2020-06-18T08:21:00.000Z,cern.zenodo,cern,RIPPLES,[{'subject': 'RIPPLES'}],,
-10.17178/emaa_ch2nh_hyperfine_9027c066,Hyperfine excitation of CH2NH by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",43 hyperfine energy levels / 180 radiative transitions / 861 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:42.000Z,2023-12-07T15:50:42.000Z,inist.osug,jbru,"target CH2NH,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CH2NH', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.6084/m9.figshare.22625620,"Additional file 5 of A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 5.,mds,True,findable,0,0,0,0,0,2023-04-13T18:56:21.000Z,2023-04-13T18:56:21.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['182300 Bytes'],
-10.5281/zenodo.8037856,konstantinos-p/europepolls: Europepolls first release.,Zenodo,2023,,Software,Other (Open),A dataset of country-level historical voting-intention polling data for the European Union (+Switzerland and UK).,mds,True,findable,0,0,0,1,0,2023-06-14T12:34:43.000Z,2023-06-14T12:34:43.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.jq2bvq8bm,Metabarcoding data reveal vertical multitaxa variation in topsoil communities during the colonization of deglaciated forelands,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Ice-free areas are increasing worldwide due to the dramatic glacier shrinkage and are undergoing rapid colonization by multiple lifeforms, thus representing key environments to study ecosystem development. Soils have a complex vertical structure. However, we know little about how microbial and animal communities differ across soil depths and development stages during the colonization of deglaciated terrains, how these differences evolve through time, and whether patterns are consistent among different taxonomic groups. Here, we used environmental DNA metabarcoding to describe how community diversity and composition of six groups (Eukaryota, Bacteria, Mycota, Collembola, Insecta, Oligochaeta) differ between surface (0-5 cm) and relatively deep (7.5-20 cm) soils at different stages of development across five Alpine glaciers. Taxonomic diversity increased with time since glacier retreat and with soil evolution; the pattern was consistent across different groups and soil depths. For Eukaryota, and particularly Mycota, alpha-diversity was generally the highest in soils close to the surface. Time since glacier retreat was a more important driver of community composition compared to soil depth; for nearly all the taxa, differences in community composition between surface and deep soils decreased with time since glacier retreat, suggesting that the development of soil and/or of vegetation tends to homogenize the first 20 cm of soil through time. Within both Bacteria and Mycota, several molecular operational taxonomic units were significant indicators of specific depths and/or soil development stages, confirming the strong functional variation of microbial communities through time and depth. The complexity of community patterns highlights the importance of integrating information from multiple taxonomic groups to unravel community variation in response to ongoing global changes.",mds,True,findable,95,6,0,2,0,2023-01-19T15:23:50.000Z,2023-01-19T15:23:51.000Z,dryad.dryad,dryad,"Environmental DNA,Insects,glacier retreat,Hillâ€™s number,beta-diversity,soil depth,springtails,Earthworms,micro-organisms,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences","[{'subject': 'Environmental DNA'}, {'subject': 'Insects', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'glacier retreat'}, {'subject': 'Hillâ€™s number'}, {'subject': 'beta-diversity'}, {'subject': 'soil depth'}, {'subject': 'springtails'}, {'subject': 'Earthworms', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'micro-organisms'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['22185076 bytes'],
-10.5281/zenodo.8082768,Polar atmospheric and aerosol river detection catalogs,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These detection catalogs of atmospheric and aerosol rivers were created for the publication <em>Lapere et al., ""Polar aerosol atmospheric rivers: detection, characteristics and potential applications"", Journal of Geophysical Research, Submitted</em>. The associated methodology is described in this publication. They provide binary detection of Atmospheric river (AR), Black carbon aerosol atmospheric river (BC_AER), Dust aerosol atmospheric river (DU_AER), Sea salt aerosol atmospheric river (SS_AER) and Organic carbon aerosol atmospheric river (OC_AER), in NetCDF format, for the period 1980-2022, with a 3-hour time resolution and 1x1Â° spatial resolution, for the regions 30Â°-90Â°N (indicated by the suffix ""NH"") and 30Â°-90Â°S (indicated by the suffix ""SH""). The code for pre-processing raw MERRA2 data, along with the detection algorithm are also provided here as Python Jupyter notebooks.",mds,True,findable,0,0,0,1,0,2023-07-07T14:41:15.000Z,2023-07-07T14:41:15.000Z,cern.zenodo,cern,"Aerosol river,Atmospheric river","[{'subject': 'Aerosol river'}, {'subject': 'Atmospheric river'}]",,
-10.6084/m9.figshare.16851072,Additional file 13 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 13: Fig. S7. Mitochondrial network structure in live-stained HeLa clones. HeLa cells harboring empty vector control (CTR) or expressing wild-type NDPK-D (WT) or mutant NDPK-D (BD, KD) were labeled with 100â€‰nM Mitotracker Green. Representative confocal images are shown together with a 2.7-fold magnified detail to the right. Scale bar, 20â€‰Î¼m.",mds,True,findable,0,0,93,1,0,2021-10-22T04:03:41.000Z,2021-10-22T04:03:43.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['4286346 Bytes'],
-10.26302/sshade/experiment_jg_20090302_003,"Vis-NIR reflectance spectra of Gode (Ogaden, Ethiopia) basalt cut",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Gode (Ogaden, Ethiopia) basalt altered in hot and very arid conditions. The experiment contains spectra of the fresh surface of the sample.",mds,True,findable,0,0,0,0,0,2019-12-09T05:15:56.000Z,2019-12-09T05:15:57.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['2 spectra'],['ASCII']
-10.26302/sshade/experiment_ml_20171219_002,"Zr K edge XAS fluorescence of natural eudialyte Na4(Ca,Ce,Fe,Mn,Y,La,Sr,K)3ZrSi8O22(OH,Cl)2 at ambient conditions",SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:35:26.000Z,2019-12-05T14:35:40.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,natural terrestrial,cyclosilicate,Natural eudialyte Na4(Ca,Ce,Fe,Mn,Y,La,Sr,K)3ZrSi8O22(OH,Cl)2,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'natural terrestrial'}, {'subject': 'cyclosilicate'}, {'subject': 'Natural eudialyte Na4(Ca,Ce,Fe,Mn,Y,La,Sr,K)3ZrSi8O22(OH,Cl)2'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_ml_20171221_002,Zr K edge XAS fluorescence of Na2Si2O5 Zr glass at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T09:08:49.000Z,2019-12-05T09:12:17.000Z,inist.sshade,mgeg,"laboratory,silicate,Na2Si2O5 Zr glass,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'laboratory'}, {'subject': 'silicate'}, {'subject': 'Na2Si2O5 Zr glass'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.5061/dryad.689110r,Data from: Deciphering the drivers of negative species-genetic diversity correlation in Alpine amphibians,Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"The evolutionary and ecological importance of neutral and adaptive genetic diversity is widely recognized. Nevertheless, genetic diversity is rarely assessed for conservation planning, which often implicitly assumes a positive correlation between species and genetic diversity. Multiple drivers can cause the co-variation between the genetic diversity of one species and the richness of the whole communities, and explicit tests are needed to identify the processes that can determine species-genetic diversity correlations (SGDC). Here we tested whether intrapopulation genetic diversity (at neutral loci) and species richness co-vary in the amphibian communities of a southern Alpine region (Trentino, Italy), using the common frog (Rana temporaria) as focal species for the study of genetic diversity. We also analyzed ecological similarity, niche overlap and interspecific interactions between the species, to unravel the processes determining SGDC. The neutral genetic diversity of common frogs was negatively related to species richness. The negative SGDC was probably due to an opposite influence of environmental gradients on the two levels of biodiversity, since the focal species and the other amphibians differ in ecological preferences, particularly in terms of thermal optimum. Conversely, we did not find evidence for a role of interspecific interactions in the negative SGDC. Our findings stress that species richness cannot be used as a universal proxy for genetic diversity, and only combining SGDC with analyses on the determinants of biodiversity can allow to identify the processes determining the relationships between genetic and species diversity.",mds,True,findable,239,21,1,1,0,2018-10-02T20:39:12.000Z,2018-10-02T20:39:13.000Z,dryad.dryad,dryad,"species-genetic diversity correlation,Rana temporaria,Alpine amphibians","[{'subject': 'species-genetic diversity correlation'}, {'subject': 'Rana temporaria'}, {'subject': 'Alpine amphibians'}]",['31955352 bytes'],
-10.5281/zenodo.10534570,"La frÃ©quentation en bibliothÃ¨que : Normes d'Ã©valuation, outils de mesure et retours d'expÃ©rience",AFNOR,2023,fr,Text,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2024-01-19T15:57:13.000Z,2024-01-19T15:57:13.000Z,cern.zenodo,cern,"Normalisation,FrÃ©quentation,BibliothÃ¨que,QualitÃ©,Statistiques,Evaluation","[{'subject': 'Normalisation'}, {'subject': 'FrÃ©quentation'}, {'subject': 'BibliothÃ¨que'}, {'subject': 'QualitÃ©'}, {'subject': 'Statistiques'}, {'subject': 'Evaluation'}]",,
-10.26302/sshade/experiment_jg_20090226_002,"Vis-NIR reflectance spectra of Gode (Ogaden, Ethiopia) basalt",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Gode (Ogaden, Ethiopia) basalt altered in hot and very arid conditions. The experiment contains spectra of the surface of the alteration rind of the sample.",mds,True,findable,0,0,0,0,0,2019-12-09T05:12:40.000Z,2019-12-09T05:12:41.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['9 spectra'],['ASCII']
-10.18709/perscido.2016.11.ds08,Three months sample of Ontology-based student monitoring extracted from the national evaluation system of French Medical Schools,PerSciDo,2016,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"This dataset contains a sample of student working session on SIDES platform from April to September 2015: 316803 actions of answer to tests on ECN items for 936 students. The dataset is modeled using RDF paradigm, based on the schema of OntoSides ontology.",api,True,findable,0,0,0,0,0,2017-11-03T01:12:24.000Z,2017-11-03T01:12:24.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['500 MB'],"['ttl', 'pdf']"
-10.5281/zenodo.7969515,"Dataset related to the study ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the data and the measurements related to the manuscript ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign"", by Dumont et al., submitted in December 2022 to the journal ""Earth System Science Data"".",mds,True,findable,0,0,0,0,0,2023-05-25T08:28:52.000Z,2023-05-25T08:28:53.000Z,cern.zenodo,cern,,,,
-10.57745/lpj2s2,GNSS position solutions in Japan,Recherche Data Gouv,2022,,Dataset,,"This dataset includes solutions processed by ISTerre for all Japanese GNSS stations. These products are daily position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the double difference method with GAMIT software.",mds,True,findable,203,10,0,0,0,2022-06-23T09:59:39.000Z,2022-07-06T12:38:55.000Z,rdg.prod,rdg,,,,
-10.6084/m9.figshare.16851084,Additional file 16 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,Additional file 16: Fig. S10. NDPK-D protein expression of ZR75-1 cells. Immunoblot detection of NDPK-D from ZR75-1 cells depleted of NDPK-D by siRNA. Alpha-tubulin was used as loading control.,mds,True,findable,0,0,93,1,0,2021-10-22T04:04:03.000Z,2021-10-22T04:04:04.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['1659398 Bytes'],
-10.6084/m9.figshare.22735402,"Additional file 2 of Multiple trauma in pregnant women: injury assessment, fetal radiation exposure and mortality. A multicentre observational study",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 2,mds,True,findable,0,0,0,0,0,2023-05-03T03:19:16.000Z,2023-05-03T03:19:17.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Biotechnology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,19999 Mathematical Sciences not elsewhere classified,FOS: Mathematics,Developmental Biology,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '19999 Mathematical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Science Policy'}]",['22640 Bytes'],
-10.5281/zenodo.3872130,Raw diffraction data for [NiFeSe] hydrogenase pressurized with O2 gas - dataset wtO2,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID29 on October 2, 2017. Image files are uploaded in blocks of gzip-compressed cbf files.",mds,True,findable,0,0,0,0,0,2020-06-01T20:15:39.000Z,2020-06-01T20:15:40.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
-10.17178/emaa_e-ch3oh_rotation_b00fa82a,"Rotation excitation of E-CH3OH by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",134 rotation energy levels / 1228 radiative transitions / 8845 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 3828 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K) / 1228 collisional transitions for electron (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:57.000Z,2023-12-07T15:50:58.000Z,inist.osug,jbru,"target E-CH3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target E-CH3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_oh_fine_2e526008,Fine excitation of OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",20 fine energy levels / 50 radiative transitions / 190 collisional transitions for para-H2 (7 temperatures in the range 10-150K) / 190 collisional transitions for ortho-H2 (7 temperatures in the range 10-150K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:20.000Z,2022-02-07T11:25:21.000Z,inist.osug,jbru,"target OH,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.4264162,Evolution of Physical Activity Habits After A Context Change: The Case of COVID-19 Lockdown,Zenodo,2020,,Dataset,Creative Commons Attribution 4.0 International,"Data set used for analysis.Â 
-
-
-Sheet 1 : Data
-
-
-Sheet 2 : Description of the variables.Â 
-
-
-Â ",mds,True,findable,0,0,0,0,0,2020-11-09T10:01:52.000Z,2020-11-09T10:01:53.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3583364,Data for Helical quantum Hall phase in graphene on SrTiO3,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Data plots in spreadsheet form,mds,True,findable,1,0,0,0,0,2020-01-31T10:19:41.000Z,2020-01-31T10:19:42.000Z,cern.zenodo,cern,,,,
-10.18150/damcb2,"Dataset from the analysis of dielectric, mechanical and calorimetric response of phosphonium ionic liquids with DCA, TCM and SCN anions",RepOD,2023,,Dataset,,"This dataset contains raw dielectric, mechanical and calorimetric data published in the article entitled â€œSelf-Assembled Nanostructures in Aprotic Ionic Liquids Facilitate Charge Transport at Elevated Pressureâ€ in ACS Applied Materials &amp; Interfaces (https://pubs.acs.org/doi/10.1021/acsami.3c08606). The included data consists of results collected for three quaternary phosphonium ionic liquids with hydrophobic [P666,14 ] + cation and anions: thiocyanate [SCN] âˆ’ , dicyanamide [DCA] âˆ’ and tricyanomethanide [TCM] âˆ’ . Raw data correspond to figures published in the main article and supporting information file.",mds,True,findable,0,0,0,0,0,2023-09-20T11:58:53.000Z,2023-09-20T12:01:51.000Z,tib.repod,repod,,,,
-10.5061/dryad.93n5r,Data from: Decomposing changes in phylogenetic and functional diversity over space and time,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"1. The Î±, Î², Î³ diversity decomposition methodology is commonly used to investigate changes in diversity over space or time but rarely conjointly. However, with the ever-increasing availability of large-scale biodiversity monitoring data, there is a need for a sound methodology capable of simultaneously accounting for spatial and temporal changes in diversity. 2. Using the properties of Chao's index, we adapted Rao's framework of diversity decomposition between orthogonal dimensions to a multiplicative Î±, Î², Î³ decomposition of functional or phylogenetic diversity over space and time, thereby combining their respective properties. We also developed guidelines for interpreting both temporal and spatial Î²-diversities and their interaction. 3. We characterised the range of Î²-diversity estimates and their relationship to the nested decomposition of diversity. Using simulations, we empirically demonstrated that temporal and spatial Î²-diversities are independent from each other and from Î± and Î³-diversities when the study design is balanced, but not otherwise. Furthermore, we showed that the interaction term between the temporal and the spatial Î²-diversities lacked such properties. 4. We illustrated our methodology with a case study of the spatio-temporal dynamics of functional diversity in bird assemblages in four regions of France. Based on these data, our method makes it possible to discriminate between regions experiencing different diversity changes in time. Our methodology may therefore be valuable for comparing diversity changes over space and time using large-scale datasets of repeated surveys.",mds,True,findable,301,24,1,1,0,2014-10-17T15:27:54.000Z,2014-10-17T15:27:56.000Z,dryad.dryad,dryad,"Apus pallidus,Luscinia svecica,Merops apiaster,Falco subbuteo,Sterna sandvicensis,Passer montanus,Lanius excubator subsp. meridionalis,Lanius excubitor,Lagopus mutus,Charadrius alexandrinus,Cinclus cinclus,Phylloscopus trochilus,Sturnus unicolor,Scolopax rusticola,Streptopelia turtur,Emberiza hortulana,Acrocephalus arundinaceus,Carduelis cannabina,Hirundo daurica,Buteo buteo,Ardea purpurea,Asio otus,Circaetus gallicus,Netta rufina,Milvus milvus,Parus cristatus,Jynx torquilla,Parus ater,Circus aeruginosus,Lanius senator,Acrocephalus schoenobaenus,Larus melanocephalus,Athene noctua,Dryocopus martius,Miliaria calandra,Lanius collurio,Sylvia hortensis,Cygnus olor,Erithacus rubecula,Corvus corax,Picus canus,Tyto alba,Phoenicopterus ruber,Pyrrhula pyrrhula,Motacilla flava,Prunella collaris,Delichon urbica,Luscinia megarhynchos,Haematopus ostralegus,Regulus ignicapillus,Larus ridibundus,Alectoris graeca,Anas querquedula,Tringa totanus,Perdix perdix,Turdus philomelos,Accipiter nisus,Phoenicurus phoenicurus,Sitta europaea,Cisticola juncidis,Troglodytes troglodytes,Carduelis spinus,Emberiza citrinella,Turdus merula,Anthus pratensis,Larus argentatus,Streptopelia decaocto,Nucifraga caryocatactes,Panurus biarmicus,Corvus frugilegus,Fringilla coelebs,Alauda arvensis,Phoenicurus ochruros,Aythya ferina,Clamator glandarius,Carduelis carduelis,Loxia curvirostra,Bonasa bonasia,Himantopus himantopus,Hippolais icterina,Pyrrhocorax pyrrhocorax,Prunella modularis,Carduelis flammea,Apus melba,Bubulcus ibis,Alcedo atthis,Parus major,Alectoris rufa,Dendrocopos minor,Sylvia conspicillata,Vanellus vanellus,Monticola solitarius,Accipiter gentilis,Dendrocopos major,Calandrella brachydactyla,Emberiza cia,Saxicola rubetra,Falco peregrinus,Garrulus glandarius,Columba palumbus,Picus viridis,Ardea cinerea,Aythya fuligula,Burhinus oedicnemus,Crex Crex,Podiceps cristatus,Riparia riparia,Oenanthe hispanica,Anthus spinoletta,Bubo bubo,Locustella luscinioides,Pyrrhocorax graculus,Cuculus canorus,Acrocephalus palustris,Chlidonias hybridus,Anthus campestris,Cettia cetti,Larus marinus,Milvus migrans,Anthus trivialis,Pica pica,Strix aluco,Tetrax tetrax,Upupa epops,Fulica atra,Gallinago gallinago,Passer domesticus,Porzana porzana,Coracias garrulus,Sylvia borin,Phylloscopus bonelli,Sylvia curruca,Acrocephalus scirpaceus,Hippolais polyglotta,Lullula arborea,Galerida cristata,Certhia brachydactyla,Certhia familiaris,Otus scops,Anser anser,Circus pygargus,Motacilla cinerea,Serinus serinus,Gyps fulvus,Saxicola torquata,Emberiza schoeniclus,Locustella naevia,Motacilla alba,Recurvirostra avosetta,Sylvia communis,Apus apus,Circus cyaneus,Casmerodius albus,Hirundo rustica,Phalacrocorax carbo,Gallinula chloropus,Ardeola ralloides,Coturnix coturnix,Larus graellsii,Limosa limosa,Platalea leucorodia,Sturnus vulgaris,communities,Turdus viscivorus,Parus palustris,Egretta garzetta,Oriolus oriolus,Rallus aquaticus,Sylvia atricapilla,Muscicapa striata,Phasianus colchicus,Anas crecca,Parus montanus,Turdus torquatus,Sylvia cantillans,Corvus monedula,Aegithalos caudatus,Botaurus stellaris,Ixobrychus minutus,Serinus citrinella,Petronia petronia,Regulus regulus,Corvus cornix,Falco naumanni,Numenius arquata,Columba oenas,Nycticorax nycticorax,Gelochelidon nilotica,Hieraaetus pennatus,Phylloscopus sibilatrix,Ptyonoprogne rupestris,Oenanthe oenanthe,Sterna albifrons,Ciconia ciconia,Ficedula hypoleuca,Phylloscopus collybita,Sylvia melanocephala,Monticola saxatilis,Coccothraustes coccothraustes,Tachybaptus ruficollis,Falco tinnunculus,Melanocorypha calandra,Dendrocopos medius,Pandion haliaetus,Tadorna tadorna,Columba livia,Pernis apivorus,Turdus pilaris,Sylvia undata,Caprimulgus europaeus,Charadrius dubius,Parus caeruleus,Anas platyrhynchos,Tichodroma muraria,Chloris chloris,Emberiza cirlus,Sterna hirundo","[{'subject': 'Apus pallidus'}, {'subject': 'Luscinia svecica'}, {'subject': 'Merops apiaster'}, {'subject': 'Falco subbuteo'}, {'subject': 'Sterna sandvicensis'}, {'subject': 'Passer montanus'}, {'subject': 'Lanius excubator subsp. meridionalis'}, {'subject': 'Lanius excubitor'}, {'subject': 'Lagopus mutus'}, {'subject': 'Charadrius alexandrinus'}, {'subject': 'Cinclus cinclus'}, {'subject': 'Phylloscopus trochilus'}, {'subject': 'Sturnus unicolor'}, {'subject': 'Scolopax rusticola'}, {'subject': 'Streptopelia turtur'}, {'subject': 'Emberiza hortulana'}, {'subject': 'Acrocephalus arundinaceus'}, {'subject': 'Carduelis cannabina'}, {'subject': 'Hirundo daurica'}, {'subject': 'Buteo buteo'}, {'subject': 'Ardea purpurea'}, {'subject': 'Asio otus'}, {'subject': 'Circaetus gallicus'}, {'subject': 'Netta rufina'}, {'subject': 'Milvus milvus'}, {'subject': 'Parus cristatus'}, {'subject': 'Jynx torquilla'}, {'subject': 'Parus ater'}, {'subject': 'Circus aeruginosus'}, {'subject': 'Lanius senator'}, {'subject': 'Acrocephalus schoenobaenus'}, {'subject': 'Larus melanocephalus'}, {'subject': 'Athene noctua'}, {'subject': 'Dryocopus martius'}, {'subject': 'Miliaria calandra'}, {'subject': 'Lanius collurio'}, {'subject': 'Sylvia hortensis'}, {'subject': 'Cygnus olor'}, {'subject': 'Erithacus rubecula'}, {'subject': 'Corvus corax'}, {'subject': 'Picus canus'}, {'subject': 'Tyto alba'}, {'subject': 'Phoenicopterus ruber'}, {'subject': 'Pyrrhula pyrrhula'}, {'subject': 'Motacilla flava'}, {'subject': 'Prunella collaris'}, {'subject': 'Delichon urbica'}, {'subject': 'Luscinia megarhynchos'}, {'subject': 'Haematopus ostralegus'}, {'subject': 'Regulus ignicapillus'}, {'subject': 'Larus ridibundus'}, {'subject': 'Alectoris graeca'}, {'subject': 'Anas querquedula'}, {'subject': 'Tringa totanus'}, {'subject': 'Perdix perdix'}, {'subject': 'Turdus philomelos'}, {'subject': 'Accipiter nisus'}, {'subject': 'Phoenicurus phoenicurus'}, {'subject': 'Sitta europaea'}, {'subject': 'Cisticola juncidis'}, {'subject': 'Troglodytes troglodytes'}, {'subject': 'Carduelis spinus'}, {'subject': 'Emberiza citrinella'}, {'subject': 'Turdus merula'}, {'subject': 'Anthus pratensis'}, {'subject': 'Larus argentatus'}, {'subject': 'Streptopelia decaocto'}, {'subject': 'Nucifraga caryocatactes'}, {'subject': 'Panurus biarmicus'}, {'subject': 'Corvus frugilegus'}, {'subject': 'Fringilla coelebs'}, {'subject': 'Alauda arvensis'}, {'subject': 'Phoenicurus ochruros'}, {'subject': 'Aythya ferina'}, {'subject': 'Clamator glandarius'}, {'subject': 'Carduelis carduelis'}, {'subject': 'Loxia curvirostra'}, {'subject': 'Bonasa bonasia'}, {'subject': 'Himantopus himantopus'}, {'subject': 'Hippolais icterina'}, {'subject': 'Pyrrhocorax pyrrhocorax'}, {'subject': 'Prunella modularis'}, {'subject': 'Carduelis flammea'}, {'subject': 'Apus melba'}, {'subject': 'Bubulcus ibis'}, {'subject': 'Alcedo atthis'}, {'subject': 'Parus major'}, {'subject': 'Alectoris rufa'}, {'subject': 'Dendrocopos minor'}, {'subject': 'Sylvia conspicillata'}, {'subject': 'Vanellus vanellus'}, {'subject': 'Monticola solitarius'}, {'subject': 'Accipiter gentilis'}, {'subject': 'Dendrocopos major'}, {'subject': 'Calandrella brachydactyla'}, {'subject': 'Emberiza cia'}, {'subject': 'Saxicola rubetra'}, {'subject': 'Falco peregrinus'}, {'subject': 'Garrulus glandarius'}, {'subject': 'Columba palumbus'}, {'subject': 'Picus viridis'}, {'subject': 'Ardea cinerea'}, {'subject': 'Aythya fuligula'}, {'subject': 'Burhinus oedicnemus'}, {'subject': 'Crex Crex'}, {'subject': 'Podiceps cristatus'}, {'subject': 'Riparia riparia'}, {'subject': 'Oenanthe hispanica'}, {'subject': 'Anthus spinoletta'}, {'subject': 'Bubo bubo'}, {'subject': 'Locustella luscinioides'}, {'subject': 'Pyrrhocorax graculus'}, {'subject': 'Cuculus canorus'}, {'subject': 'Acrocephalus palustris'}, {'subject': 'Chlidonias hybridus'}, {'subject': 'Anthus campestris'}, {'subject': 'Cettia cetti'}, {'subject': 'Larus marinus'}, {'subject': 'Milvus migrans'}, {'subject': 'Anthus trivialis'}, {'subject': 'Pica pica'}, {'subject': 'Strix aluco'}, {'subject': 'Tetrax tetrax'}, {'subject': 'Upupa epops'}, {'subject': 'Fulica atra'}, {'subject': 'Gallinago gallinago'}, {'subject': 'Passer domesticus'}, {'subject': 'Porzana porzana'}, {'subject': 'Coracias garrulus'}, {'subject': 'Sylvia borin'}, {'subject': 'Phylloscopus bonelli'}, {'subject': 'Sylvia curruca'}, {'subject': 'Acrocephalus scirpaceus'}, {'subject': 'Hippolais polyglotta'}, {'subject': 'Lullula arborea'}, {'subject': 'Galerida cristata'}, {'subject': 'Certhia brachydactyla'}, {'subject': 'Certhia familiaris'}, {'subject': 'Otus scops'}, {'subject': 'Anser anser'}, {'subject': 'Circus pygargus'}, {'subject': 'Motacilla cinerea'}, {'subject': 'Serinus serinus'}, {'subject': 'Gyps fulvus'}, {'subject': 'Saxicola torquata'}, {'subject': 'Emberiza schoeniclus'}, {'subject': 'Locustella naevia'}, {'subject': 'Motacilla alba'}, {'subject': 'Recurvirostra avosetta'}, {'subject': 'Sylvia communis'}, {'subject': 'Apus apus'}, {'subject': 'Circus cyaneus'}, {'subject': 'Casmerodius albus'}, {'subject': 'Hirundo rustica'}, {'subject': 'Phalacrocorax carbo'}, {'subject': 'Gallinula chloropus'}, {'subject': 'Ardeola ralloides'}, {'subject': 'Coturnix coturnix'}, {'subject': 'Larus graellsii'}, {'subject': 'Limosa limosa'}, {'subject': 'Platalea leucorodia'}, {'subject': 'Sturnus vulgaris'}, {'subject': 'communities'}, {'subject': 'Turdus viscivorus'}, {'subject': 'Parus palustris'}, {'subject': 'Egretta garzetta'}, {'subject': 'Oriolus oriolus'}, {'subject': 'Rallus aquaticus'}, {'subject': 'Sylvia atricapilla'}, {'subject': 'Muscicapa striata'}, {'subject': 'Phasianus colchicus'}, {'subject': 'Anas crecca'}, {'subject': 'Parus montanus'}, {'subject': 'Turdus torquatus'}, {'subject': 'Sylvia cantillans'}, {'subject': 'Corvus monedula'}, {'subject': 'Aegithalos caudatus'}, {'subject': 'Botaurus stellaris'}, {'subject': 'Ixobrychus minutus'}, {'subject': 'Serinus citrinella'}, {'subject': 'Petronia petronia'}, {'subject': 'Regulus regulus'}, {'subject': 'Corvus cornix'}, {'subject': 'Falco naumanni'}, {'subject': 'Numenius arquata'}, {'subject': 'Columba oenas'}, {'subject': 'Nycticorax nycticorax'}, {'subject': 'Gelochelidon nilotica'}, {'subject': 'Hieraaetus pennatus'}, {'subject': 'Phylloscopus sibilatrix'}, {'subject': 'Ptyonoprogne rupestris'}, {'subject': 'Oenanthe oenanthe'}, {'subject': 'Sterna albifrons'}, {'subject': 'Ciconia ciconia'}, {'subject': 'Ficedula hypoleuca'}, {'subject': 'Phylloscopus collybita'}, {'subject': 'Sylvia melanocephala'}, {'subject': 'Monticola saxatilis'}, {'subject': 'Coccothraustes coccothraustes'}, {'subject': 'Tachybaptus ruficollis'}, {'subject': 'Falco tinnunculus'}, {'subject': 'Melanocorypha calandra'}, {'subject': 'Dendrocopos medius'}, {'subject': 'Pandion haliaetus'}, {'subject': 'Tadorna tadorna'}, {'subject': 'Columba livia'}, {'subject': 'Pernis apivorus'}, {'subject': 'Turdus pilaris'}, {'subject': 'Sylvia undata'}, {'subject': 'Caprimulgus europaeus'}, {'subject': 'Charadrius dubius'}, {'subject': 'Parus caeruleus'}, {'subject': 'Anas platyrhynchos'}, {'subject': 'Tichodroma muraria'}, {'subject': 'Chloris chloris'}, {'subject': 'Emberiza cirlus'}, {'subject': 'Sterna hirundo'}]",['75236 bytes'],
-10.26302/sshade/experiment_gs_20170713_008,Ag K edge XAS fluorescence of frozen Ag-GSH solution (pH=7),SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:30:12.000Z,2019-12-05T13:30:12.000Z,inist.sshade,mgeg,"laboratory,molecular solid solution,Frozen Ag-GSH solution (pH=7),laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen Ag-GSH solution (pH=7)'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.1112342,"Database Of Weeds In Cultivation Fields Of France And Uk, With Ecological And Biogeographical Information",Zenodo,2017,en,Dataset,"Creative Commons Attribution 4.0,Open Access","The database includes a list of 1577 weed plant taxa found in cultivated fields of France and UK, along with basic ecological and biogeographical information.<br>
-The database is a CSV file in which the columns are separated with comma, and the decimal sign is ""."".<br>
-It can be imported in R with the command ""tax.discoweed &lt;- read.csv(""tax.discoweed_18Dec2017_zenodo.csv"", header=T, sep="","",  dec=""."", stringsAsFactors = F)""
-
-Taxonomic information is based on TaxRef v10 (Gargominy et al. 2016),<br>
-- 'taxref10.CD_REF' = code of the accepted name of the taxon in TaxRef,<br>
-- 'binome.discoweed' = corresponding latine name,<br>
-- 'family' = family name (following APG III),<br>
-- 'taxo' = taxonomic rank of the taxon, either 'binome' (species level) or 'infra' (infraspecific level),<br>
-- 'binome.discoweed.noinfra' = latine name of the superior taxon at species level (different from 'binome.discoweed' for infrataxa),<br>
-- 'taxref10.CD_REF.noinfra' = code of the accepted name of the superior taxon at species level.
-
-The presence of each taxon in one or several of the following data sources is reported:<br>
-- Species list from a reference flora (observations in cultivated fields over the long term, without sampling protocol),<br>
-* 'jauzein' =  national and comprehensive flora in France (Jauzein 1995),<br>
-- Species lists from plot-based inventories in cultivated fields,<br>
-* 'za' = regional survey in 'Zone Atelier Plaine &amp; Val de SÃ¨vre' in SW France (Gaba et al. 2010),<br>
-* 'biovigilance' = national survey of cultivated fields in France (Biovigilance, Fried et al. 2008),<br>
-* 'fse' = Farm Scale Evaluations in England and Scotland, UK (Perry, Rothery, Clark et al., 2003),<br>
-* 'farmbio' = Farm4Bio survey, farms in south east and south west of England, UK (Holland et al., 2013)<br>
-- Reference list of segetal species (species specialist of arable fields),<br>
-* 'cambacedes' = reference list in France (Cambacedes et al. 2002)
-
-Life form information is extracted from Julve (2014) and provided in the column 'lifeform'.<br>
-The classification follows a simplified Raunkiaer classification (therophyte, hemicryptophyte, geophyte, phanerophyte-chamaephyte and liana). Regularly biannual plants are included in hemicryptophytes, while plants that can be both annual and biannual are assigned to therophytes.
-
-Biogeographic zones are also extracted from Julve (2014) and provided in the column 'biogeo'.<br>
-The main categories are 'atlantic', 'circumboreal', 'cosmopolitan, 'Eurasian', 'European', 'holarctic', 'introduced', 'Mediterranean', 'orophyte' and 'subtropical'.<br>
-In some cases, a precision is included within brackets after the category name. For instance, 'introduced(North America)' indicates that the taxon is introduced from North America.<br>
-In addition, some taxa are local endemics ('Aquitanian', 'Catalan', 'Corsican', 'corso-sard', 'ligure', 'Provencal').<br>
-A single taxon is classified 'arctic-alpine'.
-
-Red list status of weed taxa is derived for France and UK:<br>
-- 'red.FR' is the status following the assessment of the French National Museum of Natural History (2012),<br>
-- 'red.UK' is based on the Red List of vascular plants of Cheffings and Farrell (2005), last updated in 2006.<br>
-The categories are coded following the IUCN nomenclature.
-
-A habitat index is provided in column 'module', derived from a network-based analysis of plant communities in open herbaceous vegetation in France (Divgrass database, Violle et al. 2015, Carboni et al. 2016).<br>
-The main habitat categories of weeds are coded following the Divgrass classification,<br>
-- 1 = Dry calcareous grasslands<br>
-- 3 = Mesic grasslands<br>
-- 5 = Ruderal and trampled grasslands<br>
-- 9 = Mesophilous and nitrophilous fringes (hedgerows, forest edges...)<br>
-Taxa belonging to other habitats in Divgrass are coded 99, while the taxa absent from Divgrass have a 'NA' value.
-
-Two indexes of ecological specialization are provided based on the frequency of weed taxa in different habitats of the Divgrass database.<br>
-The indexes are network-based metrics proposed by Guimera and Amaral (2005),<br>
-- c = coefficient of participation, i.e., the propensity of taxa to be present in diverse habitats, from 0 (specialist, present in a single habitat) to 1 (generalist equally represented in all habitats),<br>
-- z = within-module degree, i.e., a standardized measure of the frequency of a taxon in its habitat; it is negatve when the taxon is less frequent than average in this habitat, and positive otherwise; the index scales as a number of standard deviations from the mean.",,True,findable,0,0,0,1,0,2017-12-18T19:02:27.000Z,2017-12-18T19:02:28.000Z,cern.zenodo,cern,"species pool,cultivated fields,specialization,biodiversity decline,sampling strategies","[{'subject': 'species pool'}, {'subject': 'cultivated fields'}, {'subject': 'specialization'}, {'subject': 'biodiversity decline'}, {'subject': 'sampling strategies'}]",,
-10.26302/sshade/bandlist_raman_nyerereite,Raman bandlist of natural Nyerereite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Nyerereite at 295K,mds,True,findable,0,0,0,0,0,2023-09-07T21:31:48.000Z,2023-09-07T21:31:49.000Z,inist.sshade,mgeg,"magnesian Nyerereite,Sodium cation,Calcium cation,Potassium(1+) cation,Strontium cation,Carbonate anion,Sulfate anion,Phosphate anion,Nyerereite,Sodium(1+) cation,Calcium(2+) cation,Potassium cation,Strontium(2+) cation,17341-25-2,14127-61-8,24203-36-9,22537-39-9,Na+,Ca2+,K+,Sr2+,(CO3)2-,(SO4)2-,(PO4)3-,Na2Ca(CO3)2,Nyerereite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,-Nyerereite- group,14.03.04.01,05.AC.10,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'magnesian Nyerereite', 'subjectScheme': 'name'}, {'subject': 'Sodium cation', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Potassium(1+) cation', 'subjectScheme': 'name'}, {'subject': 'Strontium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Sulfate anion', 'subjectScheme': 'name'}, {'subject': 'Phosphate anion', 'subjectScheme': 'name'}, {'subject': 'Nyerereite', 'subjectScheme': 'name'}, {'subject': 'Sodium(1+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Potassium cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Strontium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '17341-25-2', 'subjectScheme': 'CAS number'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': '24203-36-9', 'subjectScheme': 'CAS number'}, {'subject': '22537-39-9', 'subjectScheme': 'CAS number'}, {'subject': 'Na+', 'subjectScheme': 'formula'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': 'K+', 'subjectScheme': 'formula'}, {'subject': 'Sr2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': '(SO4)2-', 'subjectScheme': 'formula'}, {'subject': '(PO4)3-', 'subjectScheme': 'formula'}, {'subject': 'Na2Ca(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'Nyerereite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': '-Nyerereite- group', 'subjectScheme': 'Dana group'}, {'subject': '14.03.04.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AC.10', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.25384/sage.22573164.v1,sj-docx-1-dhj-10.1177_20552076231167009 - Supplemental material for Impact of a telerehabilitation programme combined with continuous positive airway pressure on symptoms and cardiometabolic risk factors in obstructive sleep apnea patients,SAGE Journals,2023,,Text,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Supplemental material, sj-docx-1-dhj-10.1177_20552076231167009 for Impact of a telerehabilitation programme combined with continuous positive airway pressure on symptoms and cardiometabolic risk factors in obstructive sleep apnea patients by FranÃ§ois Bughin, Monique Mendelson, Dany Jaffuel, Jean-Louis PÃ©pin, FrÃ©dÃ©ric Gagnadoux, FrÃ©dÃ©ric Goutorbe, Beatriz Abril, Bronia Ayoub, Alexandre Aranda, Khuder Alagha, Pascal PomiÃ¨s, FranÃ§ois Roubille, Jacques Mercier, Nicolas Molinari, Yves Dauvilliers, Nelly HÃ©raud and M Hayot in Digital Health",mds,True,findable,0,0,0,0,0,2023-04-07T00:07:22.000Z,2023-04-07T00:07:22.000Z,figshare.sage,sage,"111708 Health and Community Services,FOS: Health sciences,Cardiology,110306 Endocrinology,FOS: Clinical medicine,110308 Geriatrics and Gerontology,111099 Nursing not elsewhere classified,111299 Oncology and Carcinogenesis not elsewhere classified,111702 Aged Health Care,111799 Public Health and Health Services not elsewhere classified,99999 Engineering not elsewhere classified,FOS: Other engineering and technologies,Anthropology,FOS: Sociology,200299 Cultural Studies not elsewhere classified,FOS: Other humanities,89999 Information and Computing Sciences not elsewhere classified,FOS: Computer and information sciences,150310 Organisation and Management Theory,FOS: Economics and business,Science Policy,160512 Social Policy,FOS: Political science,Sociology","[{'subject': '111708 Health and Community Services', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cardiology'}, {'subject': '110306 Endocrinology', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '110308 Geriatrics and Gerontology', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111099 Nursing not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111299 Oncology and Carcinogenesis not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111702 Aged Health Care', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111799 Public Health and Health Services not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '99999 Engineering not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Other engineering and technologies', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Anthropology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '200299 Cultural Studies not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Other humanities', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '89999 Information and Computing Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '150310 Organisation and Management Theory', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Economics and business', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '160512 Social Policy', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Political science', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}]",['778615 Bytes'],
-10.5281/zenodo.8252180,"Multi-decadal analysis of past winter temperature, precipitation and snow cover data in the European Alps from reanalyses, climate models and observational datasets",Zenodo,2023,,Software,Open Access,"Source code for producing figures of the article : Multi-decadal analysis of past winter temperature, precipitation and snow cover data in the European Alps from reanalyses, climate models and observational datasets, Monteiro and Morin 2023",mds,True,findable,0,0,0,1,0,2023-08-16T10:55:53.000Z,2023-08-16T10:55:54.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4014726,Supplement to : Accelerated Snow Melt in the Russian Caucasus Mountains After the Saharan Dust Outbreak in March 2018,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These datasets contains all the data used in Accelerated Snow Melt in the Russian Caucasus Mountains After the Saharan Dust Outbreak in March 2018 by Dumont et al., in Journal of Geophysical Research.<br> This dataset includes : Sentinel-2 cloud masks, snow depth measurements, snow surface impurity content estimated from Sentinel-2, Sentinel-2 surface reflectances and digital elevation models. Dumont, M., Tuzet, F., Gascoin, S., Picard, G., Kutuzov, S., Lafaysse, M., et al. (2020). Accelerated snow melt in the Russian Caucasus mountains after the Saharan dust outbreak in March 2018. Journal of Geophysical Research: Earth Surface, 125, e2020JF005641. https://doi.org/10.1029/2020JF005641",mds,True,findable,0,0,0,0,0,2020-09-04T09:24:13.000Z,2020-09-04T09:24:14.000Z,cern.zenodo,cern,"snow,light absorbing impurities,remote sensing","[{'subject': 'snow'}, {'subject': 'light absorbing impurities'}, {'subject': 'remote sensing'}]",,
-10.5061/dryad.hmgqnk9f6,Resistance-recovery tradeoff of soil microbial communities under altered rain regimes: An experimental test across European agroecosystems,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"With the increased occurrence of climate extremes, there is an urgent need to better understand how management strategies affect the capacity of the soil microbial community to maintain its ecosystem functions (e.g. nutrient cycling). To address this issue, intact monoliths were extracted from conventional and ecological managed grasslands in three countries across Europe and exposed under common air condition (temperature and moisture) to one of three altered rain regimes (dry, wet and intermittent wet/dry) as compared to a normal regime. Subsequently, we compared the resistance and recovery of the soil microbial biomass, potential enzyme activities and community composition. The microbial community composition differed with soil management and rain regimes. Soil microbial biomass increased from the wetter to the dryer rain regime, paralleling an increase of available carbon and nutrients, suggesting low sensitivity to soil moisture reduction but nutritional limitations of soil microbes. Conversely, enzyme activities decreased with all altered rain regimes. Resistance and recovery (considering absolute distance between normal and altered rain regime) of the microbial communities depended on soil management. Conventional-intensive management showed higher resistance of two fundamental properties for nutrient cycling (i.e. bacterial biomass and extracellular enzyme activities) yet associated with more important changes in microbial community composition. This suggests an internal community reorganization promoting biomass and activity resistance. Conversely, under ecological management bacterial biomass and enzyme activities showed better recovery capacity, whereas no or very low recovery of these properties was observed under conventional management. These management effects were consistent across the three altered rain regimes investigated, indicating common factors controlling microbial communitiesâ€™ response to different climate-related stresses. Synthesis and applications: Our study provides experimental evidence for an important trade-off for agro-ecosystem management between i.) stabilizing nutrient cycling potential during an altered rain regime period at the expense of very low recovery capacity and potential long term effect (conventional sites) and ii.) promoting the capacity of the microbial community to recover its functional potential after the end of the stress (ecological sites). Thus management based on ecologically sound principles may be the best option to sustain long-term soil functioning under climate change.",mds,True,findable,169,21,0,0,0,2020-10-02T18:42:57.000Z,2020-10-02T18:42:59.000Z,dryad.dryad,dryad,"copiotrophs,extracellular enzyme,oligotrophs,PLFA,trait","[{'subject': 'copiotrophs'}, {'subject': 'extracellular enzyme'}, {'subject': 'oligotrophs'}, {'subject': 'PLFA'}, {'subject': 'trait'}]",['539373 bytes'],
-10.5281/zenodo.7457613,"Video related to the study ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign""",Zenodo,2022,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","This video is related to the manuscript ""Spatial variability of Saharan dust deposition revealed through a citizen science campaign"", by Dumont et al., submitted in December 2022 to the journal ""Earth System Science Data"". It illustrates the timeline of dust deposition, simulated by the atmospheric transport model MOCAGE.",mds,True,findable,0,0,0,0,0,2022-12-19T12:34:01.000Z,2022-12-19T12:34:01.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10410541,The Arabidopsis Leaf Quantitative Atlas: a cellular and subcellular mapping through unified data integration,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Additional data accompanying Tolleter et. al. The Arabidopsis Leaf Quantitative Atlas: a cellular and subcellular mapping through unified data integration Quantitative Plant Biology. 2024.
-
-Quantitative analyses and models are required to connect a plant's cellular organization with its metabolism. However, quantitative data are often scattered over multiple studies, and finding such data and converting them into useful information is time consuming. Consequently, there is a need to centralize the available data and to highlight the remaining knowledge gaps. Here, we present a step-by-step approach to manually extract quantitative data from various information sources, and to unify the data format. First, data from Arabidopsis leaf were collated, checked for consistency and correctness, and curated by cross-checking sources. Second, quantitative data were combined by applying calculation rules. They were then integrated into a unique comprehensive, referenced, modifiable and reusable data compendium representing an Arabidopsis reference leaf. This atlas contains the metrics of the 15 cell types found in leaves at the cellular and subcellular levels.
-
-Table_S1_2023_12_12.xlsx: All supplementary data relating to the Arabidopsis Leaf Quantitative Atlas
-
-ChloroKB data export.ipynb: A jupyter notebook containing code to convert Quantitative_data_2023_12_13.xlsx (from http://umr5558-chlorokb.univ-lyon1.fr:8080/ChloroKB_Grails/static/images/csv/Quantitative_data.csv) into Table_S5_2023_12_13.xlsx.
-
-Variable_conversion_table.xlsx ,Localisation_conversion_table.xlsx, Localisation_conversion_table_isolated_organelles.xlsx: Conversion factors required by ChloroKB data export.ipynb for unit conversion.Â ",api,True,findable,0,0,0,0,0,2023-12-22T09:20:50.000Z,2023-12-22T09:20:50.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_lm_20220304_mtkl,Vis-NIR reflectance spectra of pellets of Na-montmorillonite and kaolinite mixtures,SSHADE/ROMA (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra (i=0Â°, e=30Â°, az=0Â°) of Na-montmorillonite (SWy-3, Clay Society) and kaolinite (KGa-2, Clay Society) mixtures (pellets), in the following fractions: 0:100, 1:99, 5:95, 10:90, 20:80, 40:60, 60:40, 80:20, 90:10, 95:5, 99:1, and 100:0.",mds,True,findable,0,0,0,0,0,2022-03-04T17:53:05.000Z,2022-03-04T17:53:05.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,Kaolinite,oxide-hydroxide,Anatase,phosphate,Crandallite,Na-Montmorillonite,physically adsorbed phase,Adsorbed water,interlayer phase,Interlayer water,tektosilicate,Quartz,Plagioclase,sulfate,Gypsum,carbonate,Calcite,Dolomite,Chlorites,inosilicate,Clinopyroxenes,Orthopyroxenes,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Kaolinite'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Anatase'}, {'subject': 'phosphate'}, {'subject': 'Crandallite'}, {'subject': 'Na-Montmorillonite'}, {'subject': 'physically adsorbed phase'}, {'subject': 'Adsorbed water'}, {'subject': 'interlayer phase'}, {'subject': 'Interlayer water'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'Plagioclase'}, {'subject': 'sulfate'}, {'subject': 'Gypsum'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'Dolomite'}, {'subject': 'Chlorites'}, {'subject': 'inosilicate'}, {'subject': 'Clinopyroxenes'}, {'subject': 'Orthopyroxenes'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['12 spectra'],['ASCII']
-10.26302/sshade/experiment_soc_20181115_004,"Fe K edge XAS HERFD (Kbeta1,3) and XES of synthetic iron(II) oxide FeO at ambient conditions",SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,1,0,2019-12-05T14:34:51.000Z,2019-12-05T14:34:52.000Z,inist.sshade,mgeg,"solid,commercial,homopolymer,Cellulose,laboratory,oxide-hydroxide,FeO,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'homopolymer'}, {'subject': 'Cellulose'}, {'subject': 'laboratory'}, {'subject': 'oxide-hydroxide'}, {'subject': 'FeO'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['3 spectra'],['ASCII']
-10.17178/gnss.products.all,GNSS position and velocity solutions,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)"". 
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","GNSS data are acquired and/or analyzed by the ISTerre laboratory, part of the Observatory of Earth Sciences and Astronomy of Grenoble (OSUG). GNSS data from permanent sites are processed. Different areas in the world are processed, corresponding to different research projects. ISTerre provides the processing solutions, i.e. position and velocity for each GNSS site. A specific DOI is allocated for those solutions, as well as for RInEx data when relevant.",mds,True,findable,0,0,1,0,0,2019-04-05T10:19:17.000Z,2019-04-05T10:19:17.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.26302/sshade/experiment_soc_20201214_001,Pd K edge XAS transmission of Pd metallic foil at 300K,SSHADE/FAME (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-12-14T13:08:55.000Z,2020-12-14T13:08:56.000Z,inist.sshade,mgeg,"commercial,metal,metallic Pd,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'metal'}, {'subject': 'metallic Pd'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.17178/ohmcv.hss.cla.11-14.1,Gazel and CladuÃ¨gne hydro-sedimentary stations,CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-03-10T17:09:26.000Z,2017-03-10T17:09:27.000Z,inist.osug,jbru,"Discharge/Flow,Surface Water,Turbidity,Conductivity,Stage Height,Water Temperature,Suspended Solids,WATER LEVEL GAUGES,Ground networks","[{'subject': 'Discharge/Flow', 'subjectScheme': 'main'}, {'subject': 'Surface Water', 'subjectScheme': 'main'}, {'subject': 'Turbidity', 'subjectScheme': 'main'}, {'subject': 'Conductivity', 'subjectScheme': 'main'}, {'subject': 'Stage Height', 'subjectScheme': 'main'}, {'subject': 'Water Temperature', 'subjectScheme': 'main'}, {'subject': 'Suspended Solids', 'subjectScheme': 'main'}, {'subject': 'WATER LEVEL GAUGES', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}]",,"['CSV', 'ESRI Grid', 'NETCDF']"
-10.5281/zenodo.10652455,TDP-43 motifs in the GISAID Database v1.0.0-alpha,Zenodo,2024,,Software,MIT License,"TDP-43 motifs in the GISAID Database - Version v1.0.0-alpha
-
-This repository contains Python scripts that automate the process of downloading, merging, and processing data from the GISAID website. The scripts are organized into two directories: `GISAID-crawler` and `TDP-43`, each with its own README file detailing the specific operations performed by the scripts within.
-
-Details
-
-Please refer to each script code Â to install the appropriate packages via pip3. The scripts are run using Python 3.10.0. Be situated on each working directory to execute the script. Refer to each README file for more information.
-
-Disclaimer: in order to access the information in the GISAID database you must have your own access by creating a username and being given a password. In these scripts, I did not include any data contained in the database, in accordance with the GISAID terms and conditions. This data has not been shared to anyone nor cross-examined with any other influenza database. A separate table acknowledging all sources of the original data will be added.
-
-License
-
-This software is released under the MIT License.Â 
-
-Acknowledgments
-
-Freunde von GISAID and all the researchers that deposited their sequences in their database. Nadia Naffakh for the cannonical sequences max and min sizes and discussion. Darren Hart for discussion.",api,True,findable,0,0,0,0,1,2024-02-13T01:00:52.000Z,2024-02-13T01:00:53.000Z,cern.zenodo,cern,"influenza,TDP-43,GISAID","[{'subject': 'influenza'}, {'subject': 'TDP-43'}, {'subject': 'GISAID'}]",,
-10.5281/zenodo.7385933,ACO-FROST: generation of icy grain models and adsorption of molecules,Zenodo,2022,,Software,"Creative Commons Attribution 4.0 International,Open Access",Zip files containing the ACO-FROST set of codes at the time of publication of Germain et al. 2021. For a more up to date version see aurelegermain/ACO-FROST_grain_generator and aurelegermain/ACO-FROST_BE-grain. Require the xtb program developed by the Grimme group at the Bonn University and available here.,mds,True,findable,0,0,0,1,0,2022-12-01T11:23:38.000Z,2022-12-01T11:23:54.000Z,cern.zenodo,cern,"cluster,modeling,Interstellar icy grain","[{'subject': 'cluster'}, {'subject': 'modeling'}, {'subject': 'Interstellar icy grain'}]",,
-10.18709/perscido.2023.08.ds398,BuildPred: A Smart Tertiary Building Dataset,PerSCiDO,2023,,Dataset,,"This dataset gathers indoor environmental data and HVAC power consumption collected on a monitored tertirary building over 232 days. The building located into the eastern suburbs of Grenoble (France). Sensors across the building send a measure every 10 minutes, leading to the creation this dataset, after preprocessing.",api,True,findable,0,0,0,0,0,2023-08-31T16:32:12.000Z,2023-08-31T16:32:12.000Z,inist.persyval,vcob,Information Technology,"[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}]",['10 Mo'],['CSV']
-10.5281/zenodo.3048780,2_Changri Nup Data,Zenodo,2019,en,Dataset,Restricted Access,"This is the dataset from North Changri Nup (5470 m asl, Everest region) on a debris-covered site in 2015 to 2017. Please look at the metadata file (CN-5470_20152017_AWS_metadata.docx) and the data ""Readme"" file (https://zenodo.org/record/3362374) for more information about the content of the files.",mds,True,findable,4,0,0,0,0,2019-05-20T11:58:06.000Z,2019-05-20T11:58:07.000Z,cern.zenodo,cern,"Changri Nup,Glacier,Debris","[{'subject': 'Changri Nup'}, {'subject': 'Glacier'}, {'subject': 'Debris'}]",,
-10.26302/sshade/experiment_lb_20191220_002,"NIR reflectance spectrum (i=0Â°, e=30Â°) of bulk CO chondrites under vacuum at T = 80Â°C",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR reflectance spectra (i = 0Â°, e=30Â°) of bulk CO chondrites under vacuum at T = 80Â°C",mds,True,findable,0,0,0,0,0,2020-08-13T09:14:49.000Z,2020-08-13T09:14:51.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CO,complex organic-mineral mix,matrix ALHA77003,complex mineral mix,chondrules ALHA77003,CAIs ALHA77003,matrix DOM08006,chondrules DOM08006,CAIs DOM08006,matrix MIL05024,chondrules MIL05024,CAIs MIL05024,matrix MIL07193,chondrules MIL07193,CAIs MIL07193,matrix ALH83108,chondrules ALH83108,CAIs ALH83108,matrix EET92126,chondrules EET92126,CAIs EET92126,matrix MET00737,chondrules MET00737,CAIs MET00737,matrix MIL05104,chondrules MIL05104,CAIs MIL05104,matrix MIL07687,chondrules MIL07687,CAIs MIL07687,matrix MIL07709,chondrules MIL07709,CAIs MIL07709,matrix Moss,chondrules Moss,CAIs Moss,matrix Kainsaz,chondrules Kainsaz,CAIs Kainsaz,matrix LAP031117,chondrules LAP031117,CAIs LAP031117,matrix QUE97416,chondrules QUE97416,CAIs QUE97416,matrix ALH85003,chondrules ALH85003,CAIs ALH85003,matrix DOM03238,chondrules DOM03238,CAIs DOM03238,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CO'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix ALHA77003'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules ALHA77003'}, {'subject': 'CAIs ALHA77003'}, {'subject': 'matrix DOM08006'}, {'subject': 'chondrules DOM08006'}, {'subject': 'CAIs DOM08006'}, {'subject': 'matrix MIL05024'}, {'subject': 'chondrules MIL05024'}, {'subject': 'CAIs MIL05024'}, {'subject': 'matrix MIL07193'}, {'subject': 'chondrules MIL07193'}, {'subject': 'CAIs MIL07193'}, {'subject': 'matrix ALH83108'}, {'subject': 'chondrules ALH83108'}, {'subject': 'CAIs ALH83108'}, {'subject': 'matrix EET92126'}, {'subject': 'chondrules EET92126'}, {'subject': 'CAIs EET92126'}, {'subject': 'matrix MET00737'}, {'subject': 'chondrules MET00737'}, {'subject': 'CAIs MET00737'}, {'subject': 'matrix MIL05104'}, {'subject': 'chondrules MIL05104'}, {'subject': 'CAIs MIL05104'}, {'subject': 'matrix MIL07687'}, {'subject': 'chondrules MIL07687'}, {'subject': 'CAIs MIL07687'}, {'subject': 'matrix MIL07709'}, {'subject': 'chondrules MIL07709'}, {'subject': 'CAIs MIL07709'}, {'subject': 'matrix Moss'}, {'subject': 'chondrules Moss'}, {'subject': 'CAIs Moss'}, {'subject': 'matrix Kainsaz'}, {'subject': 'chondrules Kainsaz'}, {'subject': 'CAIs Kainsaz'}, {'subject': 'matrix LAP031117'}, {'subject': 'chondrules LAP031117'}, {'subject': 'CAIs LAP031117'}, {'subject': 'matrix QUE97416'}, {'subject': 'chondrules QUE97416'}, {'subject': 'CAIs QUE97416'}, {'subject': 'matrix ALH85003'}, {'subject': 'chondrules ALH85003'}, {'subject': 'CAIs ALH85003'}, {'subject': 'matrix DOM03238'}, {'subject': 'chondrules DOM03238'}, {'subject': 'CAIs DOM03238'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['16 spectra'],['ASCII']
-10.5281/zenodo.5496375,Diagnosing the Eliassen-Palm flux from a quasi-geostrophic double gyre ensemble,Zenodo,2021,,Software,Open Access,No description provided.,mds,True,findable,0,0,0,0,0,2021-09-09T02:38:28.000Z,2021-09-09T02:38:29.000Z,cern.zenodo,cern,"Quasi-geostrophy,Eliassen-Palm flux,Ensemble modelling","[{'subject': 'Quasi-geostrophy'}, {'subject': 'Eliassen-Palm flux'}, {'subject': 'Ensemble modelling'}]",,
-10.5281/zenodo.3529760,Environmental co-benefits and adverse side-effects of alternative power sector decarbonization strategies,Zenodo,2019,en,Software,"Creative Commons Attribution Share Alike 4.0 International,Open Access","This package contains the data and source code used in preparation for the<br> paper ""Environmental co-benefits and adverse side-effects of alternative power<br> sector decarbonization strategies"" by Gunnar Luderer et al., published in Nature<br> Communications.",mds,True,findable,10,0,0,0,0,2019-11-05T21:11:41.000Z,2019-11-05T21:11:41.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8010223,Simulation-based Validation for Autonomous Driving Systems,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Open Access","The artifact for the paper ""Simulation-based Validation for Autonomous Driving Systems"" published on ISSTA 2023.",mds,True,findable,0,0,0,0,0,2023-06-06T12:30:44.000Z,2023-06-06T12:30:45.000Z,cern.zenodo,cern,,,,
-10.17178/amma-catch.cl.gwatwell_n,"Groundwater dataset (water table level), over the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2003,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Knowledge of long-term changes in the aquifer balance in response to land use and climate changes.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:08.000Z,2018-03-16T15:37:09.000Z,inist.osug,jbru,"Aquifer, recharge, groundwater,Sahelian climate,Water Table","[{'subject': 'Aquifer, recharge, groundwater', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Water Table', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.10578349,EDYTHA - Emotion Dynamics for Theater in Alsatian,Zenodo,2024,,Software,GNU General Public License v3.0 or later,"EDYTHA - Emotion Dynamics for Theater in Alsatian
-
-Initial version.",api,True,findable,0,0,0,1,0,2024-01-28T19:57:14.000Z,2024-01-28T19:57:15.000Z,cern.zenodo,cern,"Alsatian theater,Emotion analysis","[{'subject': 'Alsatian theater'}, {'subject': 'Emotion analysis'}]",,
-10.18709/perscido.2021.11.ds357,The VLSAT-2 (Very Large SAT) Benchmark Suite,PerSCiDo,2021,en,Dataset,,"The VLSAT-2 benchmark suite (where ""VL"" stands for ""Very Large"") is a collection of 100 SAT formulas to be used as benchmarks in scientific experiments and software competitions. These SAT formulas have been obtained from the automatic conversion into Nested-Unit Petri Nets (NUPNs) of a large collection of Petri nets modelling real-life problems, such as communication protocols and concurrent systems. 25% of the VLSAT-2 benchmarks have been selected by the organizers of recent SAT competitions: 7 satisfiable and 7 unsatisfiable formulas have been chosen for the SAT Competition 2020, and 5 satisfiable and 8 unsatisfiable formulas have been chosen for the SAT Competition 2021.",fabrica,True,findable,0,0,0,0,0,2021-11-23T15:49:21.000Z,2021-11-23T15:49:21.000Z,inist.persyval,vcob,Computer science,"[{'lang': 'en', 'subject': 'Computer science'}]",['4 GB'],['SMT-LIB v2.6']
-10.17178/emaa_h(13c)o-plus_rotation_326f961f,"Rotation excitation of H[13C]O+ by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 132 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (9 temperatures in the range 10-200K) / 231 collisional transitions for para-H2 (9 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:52.000Z,2021-11-18T13:34:53.000Z,inist.osug,jbru,"target H[13C]O+,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H[13C]O+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.6084/m9.figshare.22604164,Additional file 1 of Early management of isolated severe traumatic brain injury patients in a hospital without neurosurgical capabilities: a consensus and clinical recommendations of the World Society of Emergency Surgery (WSES),figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Appendix 1. Consensus participants.,mds,True,findable,0,0,53,1,0,2023-04-13T10:34:17.000Z,2023-04-13T10:34:18.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Molecular Biology,Ecology,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Ecology'}, {'subject': 'Science Policy'}]",['15123 Bytes'],
-10.6084/m9.figshare.c.6627480,Healthcare studentsâ€™ prevention training in a sanitary service: analysis of health education interventions in schools of the Grenoble academy,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background The sanitary service is a mandatory prevention training programme for all French healthcare students. Students receive training and then have to design and carry out a prevention intervention with various populations. The aim of this study was to analyse the type of health education interventions carried out in schools by healthcare students from one university in order to describe the topics covered and the methods used. Method The 2021â€“2022 sanitary service of University Grenoble Alpes involved students in maieutic, medicine, nursing, pharmacy and physiotherapy. The study focused on students who intervened in school contexts. The intervention reports written by the students were read doubly by independent evaluators. Information of interest was collected in a standardised form. Results Out of the 752 students involved in the prevention training program, 616 (82%) were assigned to 86 schools, mostly primary schools (58%), and wrote 123 reports on their interventions. Each school hosted a median of 6 students from 3 different fields of study. The interventions involved 6853 pupils aged between 3 and 18 years. The students delivered a median of 5 health prevention sessions to each pupil group and spent a median of 25 h (IQR: 19â€“32) working on the intervention. The themes most frequently addressed were screen use (48%), nutrition (36%), sleep (25%), harassment (20%) and personal hygiene (15%). All students used interactive teaching methods such as workshops, group games or debates that was addressed to pupilsâ€™ psychosocial (mainly cognitive and social) competences. The themes and tools used differed according to the pupilsâ€™ grade levels. Conclusion This study showed the feasibility of conducting health education and prevention activities in schools by healthcare students from five professional fields who had received appropriate training. The students were involved and creative, and they were focused on developing pupilsâ€™ psychosocial competences.",mds,True,findable,0,0,0,0,0,2023-05-03T03:20:27.000Z,2023-05-03T03:20:27.000Z,figshare.ars,otjm,"Medicine,Biotechnology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",,
-10.15146/zf0j-5m50,"Grounding line of Denman Glacier, East Antarctica from satellite radar interferometry",Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Grounding line, elevation changes, and melt rates maps of Denman Glacier, East Antarctica. Using satellite radar interferometry from the COSMO-SkyMed mission we map the grounding line of Denman Glacier, East Antarctica. We complement these data with some historical interferometric radar acquisition from the European satellite ERS-1/2. We present new maps of elevation changes on the grounded and floating portions of Denman Glacier obtained by temporally differencing TanDEM-X Digital Elevation Models.",mds,True,findable,4625,2204,2,2,0,2019-09-05T17:38:15.000Z,2019-09-05T17:38:16.000Z,dryad.dryad,dryad,"Glaciers,Interferometry","[{'subject': 'Glaciers', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Interferometry'}]",['1323981608 bytes'],
-10.34847/nkl.6caam3dp,Carte des mÃ©moires sensibles de la Romanche - version intermÃ©diaire,NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,PhysicalObject,,"ReprÃ©sentation cartographique par AAU-CRESSON (Laure Brayer, Ryma Hadbi, Rachel Thomas et alii) Ã  partir des rÃ©cits collectÃ©s dans la vallÃ©e de la Romanche (2018-2021) par AAU-CRESSON et Regards des Lieux.
-
-Les multiples rÃ©cits collectÃ©s au cours des arpentages et des rencontres rÃ©alisÃ©s dans la vallÃ©e ont constituÃ© la matiÃ¨re premiÃ¨re dâ€™une reprÃ©sentation cartographique dont lâ€™ambition est de faire Ã©tat de la polyphonie des expÃ©riences des lieux. En reprÃ©sentant les mÃ©moires sensibles de la vallÃ©e par le bais de diverses opÃ©rations de traduction Ã  lâ€™origine de ce travail cartographique, lâ€™enjeu sous-jacent est de questionner des formes possibles dâ€™une Ã©criture sensible critique. En tentant de mettre en partage les rapports pluriels et parfois contradictoires au paysage, la carte est interrogÃ©e comme potentiel lieu dâ€™Ã©laboration dâ€™une critique concernÃ©e dont les expÃ©riences sensibles sont le terreau. 
-
-Cette carte est la version intermÃ©diaire de juin 2021 faite sur Illustrator (Adobe) Ã  partir de la premiÃ¨re carte dite ""Table et ciseaux"". Elle a Ã©tÃ© faite par l'Ã©quipe de recherche avant de la soumettre aux habitants de la VallÃ©e de la Romanche lors de la journÃ©e ""Au fil de l'eau 2"", en juin 2021.",api,True,findable,0,0,0,0,0,2022-06-27T12:30:44.000Z,2022-06-27T12:30:45.000Z,inist.humanum,jbru,"carte sensible,Cartographie sensible,MÃ©moires des lieux,histoire orale,patrimoine immatÃ©riel,Histoires de vie,Sens et sensations,Perception de l'espace,RÃ©cit personnel,enquÃªtes de terrain (ethnologie),DÃ©sindustrialisation,Patrimoine industriel,Pollution de l'air,Montagnes â€“ amÃ©nagement,Ã‰nergie hydraulique,Rives â€“ amÃ©nagement,Cartographie critique,ReprÃ©sentation graphique,Romanche, VallÃ©e de la (France),Keller, Charles Albert (1874-1940 , IngÃ©nieur A&amp;M)","[{'subject': 'carte sensible'}, {'lang': 'fr', 'subject': 'Cartographie sensible'}, {'lang': 'fr', 'subject': 'MÃ©moires des lieux'}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'patrimoine immatÃ©riel'}, {'lang': 'fr', 'subject': 'Histoires de vie'}, {'lang': 'fr', 'subject': 'Sens et sensations'}, {'lang': 'fr', 'subject': ""Perception de l'espace""}, {'lang': 'fr', 'subject': 'RÃ©cit personnel'}, {'lang': 'fr', 'subject': 'enquÃªtes de terrain (ethnologie)'}, {'lang': 'fr', 'subject': 'DÃ©sindustrialisation'}, {'lang': 'fr', 'subject': 'Patrimoine industriel'}, {'lang': 'fr', 'subject': ""Pollution de l'air""}, {'lang': 'fr', 'subject': 'Montagnes â€“ amÃ©nagement'}, {'lang': 'fr', 'subject': 'Ã‰nergie hydraulique'}, {'lang': 'fr', 'subject': 'Rives â€“ amÃ©nagement'}, {'lang': 'fr', 'subject': 'Cartographie critique'}, {'lang': 'fr', 'subject': 'ReprÃ©sentation graphique'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e de la (France)'}, {'lang': 'fr', 'subject': 'Keller, Charles Albert (1874-1940 , IngÃ©nieur A&amp;M)'}]","[15311294, 73848650]","['image/jpeg', 'application/pdf']"
-10.5281/zenodo.10037956,FIG. 2 in Passiflora tinifolia Juss. (Passiflora subgenus Passiflora): resurrection and synonymies,Zenodo,2023,,Image,Creative Commons Attribution 4.0 International,"FIG. 2. â€” Iconography of P. tinifolia Juss. from Guyana, according to Hooker et al. (1857).",api,True,findable,0,0,0,0,0,2023-10-24T17:26:29.000Z,2023-10-24T17:26:29.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.5281/zenodo.7755650,"Catalog of icequakes recorded in March 2019, in the Van Mijen Fjord, in Svalbard (Norway)",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The files contain a catalog of icequakes waveforms recorded in March 2019, at Vallunden lake, in the Van Mijen Fjord, in Svalbard (Norway). The three components of velocity are available.",mds,True,findable,0,0,0,0,0,2023-03-21T09:43:11.000Z,2023-03-21T09:43:11.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_zy_20180208_000,VIS-NIR reflectance spectra of binary mixtures of CO2 frost (10-100 Âµm) and spherical water ice particles (67 Âµm average diameter),SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","CO2 frost (10-100 Âµm) produced by adiabatic expansion of gas is mixed with variable amounts of water ice particles (spherical, type SPIPA-B, 67 Âµm average diameter) and the reflectance measured. Vis multispectral + NIR low resolution and Vis-NIR high resolution spectra.",mds,True,findable,0,0,0,0,0,2023-04-28T13:51:16.000Z,2023-04-28T13:51:16.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,solid CO2,water ice,solid,laboratory,inorganic molecular solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'reflectance factor', 'subjectScheme': 'var'}, {'subject': 'solid CO2', 'subjectScheme': 'name'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}]",['8 spectra'],['ASCII']
-10.18709/perscido.2017.10.ds144,DACT: Dataset of Annotated Car Trajectories,PerSciDo,2017,en,Dataset,Creative Commons Attribution 4.0 International,DACT contains two subsets of annotated car trajectories data. The dataset contains 50 trajectories which cover about 13 hours of driving data.,api,True,findable,0,0,1,0,0,2017-11-03T01:35:47.000Z,2017-11-03T01:35:47.000Z,inist.persyval,vcob,"Computer Science,Geography","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Geography'}]",['10 MB'],
-10.26302/sshade/experiment_jg_20090302_002,"Vis-NIR reflectance spectra of Werder (Ogaden, Ethiopia) basalt cut",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Werder (Ogaden, Ethiopia) basalts altered in hot conditions with globally increasing aridity since Late Oligocene. The samples are cobble fragments sampled from the same outcrop. The experiment contains spectra of the fresh surface of the samples.",mds,True,findable,0,0,0,0,0,2019-12-09T05:15:05.000Z,2019-12-09T05:15:06.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,carbonate,calcite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'carbonate'}, {'subject': 'calcite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['16 spectra'],['ASCII']
-10.17178/cryobsclim.cdp.2018.metsafran,"Col de Porte, Hourly meteorological data from SAFRAN reanalysis",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019.  The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP  (CRYosphere, an OBServatory of the CLIMate â€“ Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:36.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"Air Temperature,Specific Humidity,Wind speed,Rainfall rate,Snowfall rate,Incident longwave radiation,Incident shortwave direct radiation,Incident shortwave diffuse radiation,Surface pressure,Nebulosity","[{'subject': 'Air Temperature', 'subjectScheme': 'main'}, {'subject': 'Specific Humidity', 'subjectScheme': 'main'}, {'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Rainfall rate', 'subjectScheme': 'main'}, {'subject': 'Snowfall rate', 'subjectScheme': 'main'}, {'subject': 'Incident longwave radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave direct radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave diffuse radiation', 'subjectScheme': 'main'}, {'subject': 'Surface pressure', 'subjectScheme': 'main'}, {'subject': 'Nebulosity', 'subjectScheme': 'main'}]",,['netCDF']
-10.6084/m9.figshare.c.7009820,Barriers and facilitators to the HPV vaccine: a multicenter qualitative study of French general practitioners,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background In France, human papillomavirus (HPV) vaccination coverage is low, with 30.7% of 17-year-old girls having received a complete HPV vaccination schedule in 2020. Aim To determine the perspective and behaviors of general practitioners (GPs) regarding HPV vaccination with their patients and if a reluctance is observed. Design and setting A qualitative study based on semi-directed individual interviews was conducted between December 2019 and December 2020. A representative sample of GPs with various profiles were included in 4 French regions. Method A purposive sampling was used and interviews were continued until data saturation was reached. The analysis was based on the grounded theory. Results Twenty-six GPs aged 29â€“66 years were interviewed. The measures taken by the French health authorities (lowering the target age, reimbursing the vaccine, extending the target population to boys) were perceived as facilitators. The reported barriers were organizational, due to low attendance of adolescents, and relational, mainly due to parental vaccine hesitancy. Physicians had to deal with fears about the perceived risks and concerns about sexuality conveyed by HPV vaccination and linked to the socio-cultural characteristics of the families. Physicians developed strategies, including scientific knowledge mobilization, empowerment of families by promoting health through prevention, repetition of the vaccination proposals, personal experience and relationship. Different practices were identified according to three GP typologies: effective, convinced but unpersuasive, and reluctant physicians. Conclusion Based on these results, specific interventions, including communication techniques, especially for hesitant or unpersuasive physicians, are needed to enable GPs to become more effective.",mds,True,findable,0,0,0,0,0,2024-01-05T04:41:35.000Z,2024-01-05T04:41:36.000Z,figshare.ars,otjm,"Biological Sciences not elsewhere classified,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.6084/m9.figshare.21550639,Self-compassion and emotion regulation: testing a mediation model,Taylor & Francis,2022,,Text,Creative Commons Attribution 4.0 International,"Self-compassion (SC) seems to play an important role in improving Emotion Regulation (ER). Nevertheless, the results of previous studies regarding the links between SC and ER are not consistent, especially facing diverse models of ER (strategy-based vs skill-based). The goal of this prospective study was to evaluate the links between these three concepts, by testing the predictive roles of SC and ER skills on both ER adaptive and maladaptive strategies, using standardised questionnaires and visual analogue scales. Results of regression analysis showed that self-compassion positively predicts cognitive reappraisal, acceptance, problem-solving, relaxation, self-support, tolerance and ER skills and negatively predicts behavioural avoidance, expressive suppression and ruminations. Results also showed that ER skills positively predict cognitive reappraisal, expression, acceptance, relaxation, self-support and tolerance and negatively predicts behavioural avoidance, expressive suppression and ruminations. Results from a mediation model are also promising regarding both the role of ER skills on the effect of SC on adaptive ER strategy use. Even if this study can be associated with common limits of self-report measures, it highlights the role of SC in a model of ER.",mds,True,findable,0,0,0,0,0,2022-11-14T09:00:05.000Z,2022-11-14T09:00:06.000Z,figshare.ars,otjm,"Medicine,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['20085 Bytes'],
-10.5281/zenodo.10492230,Mining tortured acronyms from the scientific literature,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2024-01-11T14:33:58.000Z,2024-01-11T14:33:58.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.7068560,Blood MMP-9 measured at 2 years after lung transplantation as a prognostic biomarker of chronic lung allograft dysfunction,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Long-term outcomes of lung transplantation (LTx) remain hampered by chronic lung allograft dysfunction (CLAD). Matrix metalloproteinase 9 (MMP-9) is a secretory endopeptidase identified as a key mediator in fibrosis processes associated with CLAD. The objective of this study was to investigate whether plasma MMP9 levels may be prognostic of CLAD development. Methods Participants were selected from the Cohort in Lung Transplantation (COLT) for which a biocollection was associated. We considered two time points, year 1 (Y1) and year 2 (Y2) post-transplantation, for plasma MMP-9 measurements. We analysed stable recipients at those time points, comparing those who would develop a CLAD within the 2Â years following the measurement to those who would remain stable 2Â years after. Results MMP-9 levels at Y1 were not significantly different between the CLAD and stable groups (230Â ng/ml vs. 160Â ng/ml, pâ€‰=â€‰0.4). For the Y2 analysis, 129 recipients were included, of whom 50 developed CLAD within 2Â years and 79 remained stable within 2Â years. MMP-9 plasma median concentrations were higher in recipients who then developed CLAD than in the stable group (230Â ng/ml vs. 118Â ng/ml, pâ€‰=â€‰0.003). In the multivariate analysis, the Y2 MMP-9 level was independently associated with CLAD, with an average increase of 150Â ng/ml (95% CI [0â€“253], pâ€‰=â€‰0.05) compared to that in the stable group. The Y2 ROC curve revealed a discriminating capacity of blood MMP-9 with an area under the curve of 66%. Conclusion Plasmatic MMP-9 levels measured 2Â years after lung transplantation have prognostic value for CLAD.",mds,True,findable,0,0,0,0,0,2024-02-10T04:41:44.000Z,2024-02-10T04:41:45.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Ecology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}]",,
-10.5281/zenodo.3403082,The dynamics of bi-directional exchange flows: implication for morphodynamic change within estuaries and sea straits,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Environmental and geophysical flows, including dense bottom gravity currents in the ocean and buoyancy-driven exchange flows in marginal seas,<br> are strongly controlled by topographic features.<br> These are known to exert significant influence on both internal mixing and secondary circulations generated by these flows.<br> In such cases, uni-directional or bi-directional exchange flows develop when horizontal density differences<br> and/or pressure gradients are present between adjacent water bodies connected by a submerged channel.<br> The flow dynamics of the dense lower layer depend primarily on the volumetric flux and channel cross-sectional shape,<br> while the stratified interfacial flow mixing characteristics, leading to fluid entrainment/detrainment,<br> are also dependent on the buoyancy flux and motion within the upper (lower density) water mass.<br> For submerged channels that are relatively wide compared to the internal Rossby radius of deformation,<br> Earth rotation effects introduce geostrophic adjustment of these internal fluid motions,<br> which can suppress turbulent mixing generated at the interface and result in the development of Ekman layers that induce secondary,<br> cross-channel circulations, even within straight channels.<br> Moreover, recent studies of dense, gravity currents generated in rotating and non-rotating systems,<br> respectively, indicated that the V-shaped channel topography had a strong influence on both flow distribution<br> and associated interfacial mixing characteristics along the channel.<br> However, such topographic controls on the interfacial mixing and secondary circulations generated by bi-directional exchange flows<br> are not yet fully understood and remain to be investigated thoroughly in the laboratory.<br> Also the effect of mobile bed for bi-directional exchange flows generated in deformable channels along with the physical interactions<br> between the lower dense water flow and the erodible bed sediments<br> will have a strong influence in (re-)shaping the overall channel bed topography (i.e. bed morphodynamics).<br> Consequently, the resulting temporal changes in cross-sectional channel bathymetry (i.e. through erosion and deposition processes)<br> would also be expected to have associated feedbacks on transverse asymmetries in the bi-directional exchange flow structure,<br> as well as on the internal flow stability.",mds,True,findable,1,0,0,0,0,2019-09-11T07:24:01.000Z,2019-09-11T07:24:02.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8269855,Heterogeneous/Homogeneous Change Detection dataset,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"""Please if you use this datasets we appreciated that you reference this repository and cite the works related that made possible the generation of this dataset.""
-ThisÂ change detection datastetÂ has different events, satellites, resolutions and includes both homogeneous/heterogeneous cases. The main idea of the dataset is to bring a benchmark on semantic change detection in remote sensing field.This dataset is the outcome of the following publications:
-
-@article{Â Â Â JimenezSierra2022graph,author={Jimenez-Sierra, David Alejandro and Quintero-Olaya, David Alfredo and Alvear-Mu{\~n}oz, Juan Carlos and Ben{\'i}tez-Restrepo, Hern{\'a}n Dar{\'i}o and Florez-Ospina, Juan Felipe and Chanussot, Jocelyn},journal={IEEE Transactions on Geoscience and Remote Sensing},title={Graph Learning Based on Signal Smoothness Representation for Homogeneous and Heterogeneous Change Detection},year={2022},volume={60},number={},pages={1-16},doi={10.1109/TGRS.2022.3168126}}Â 
-@article{Â Â Â JimenezSierra2020graph,title={Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops},author={Jimenez-Sierra, David Alejandro and Ben{\'i}tez-Restrepo, Hern{\'a}n Dar{\'i}o and Vargas-Cardona, Hern{\'a}n Dar{\'i}o and Chanussot, Jocelyn},journal={Remote Sensing},volume={12},number={17},pages={2683},year={2020},publisher={Multidisciplinary Digital Publishing Institute},doi={10.3390/rs12172683}}Â 
-@inproceedings{jimenez2021blue,title={Blue noise sampling and Nystrom extension for graph based change detection},author={Jimenez-Sierra, David Alejandro and Ben{\'\i}tez-Restrepo, Hern{\'a}n Dar{\'\i}o and Arce, Gonzalo R and Florez-Ospina, Juan F},booktitle={2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS},ages={2895--2898},year={2021},organization={IEEE},doi={10.1109/IGARSS47720.2021.9555107}}Â 
-@article{florez2023exploiting,title={Exploiting variational inequalities for generalized change detection on graphs},author={Florez-Ospina, Juan F and Jimenez Sierra, David A and Benitez-Restrepo, Hernan D and Arce, Gonzalo},journal={IEEE Transactions on Geoscience and Remote Sensing}, Â year={2023},volume={61},number={},pages={1-16},doi={10.1109/TGRS.2023.3322377}}Â 
-@article{florez2023exploitingxiv,title={Exploiting variational inequalities for generalized change detection on graphs},author={Florez-Ospina, Juan F. and Jimenez-Sierra, David A. and Benitez-Restrepo, Hernan D. and Arce, Gonzalo R},year={2023},publisher={TechRxiv},doi={10.36227/techrxiv.23295866.v1}}
-In the table on the html file (dataset_table.html) are tabulated all the metadata and details related to each case within the dasetet. The cases with a link, were gathered from those sources and authors, therefore you should refer to their work as well.
-The rest of the cases or events (without a link), were obtained through the use of open sources such as:
-
-Copernicus
-European Space Agency
-Alaska Satellite Facility (Vertex)
-Earth Data
-In addition, we carried out all the processing of the images by using the SNAP toolbox from the European Space Agency. This proccessing involves the following:
-
-Data co-registration
-Cropping
-Apply Orbit (for SAR data)
-Calibration (for SAR data)
-Speckle Filter (for SAR data)
-Terrain Correction (for SAR data)
-Lastly, the ground truth was obtained from homogeneous images for pre/post events by drawing polygons to highlight the areas where a visible change was present. The images where layout and synchorized to be zoomed over the same are to have a better view of changes. This was an exhaustive work in order to be precise as possible.Feel free to improve and contributeÂ to this dataset.",api,True,findable,0,0,0,0,0,2023-11-05T15:26:39.000Z,2023-11-05T15:26:39.000Z,cern.zenodo,cern,"Remote sensing,Change Detection,Multi-Spectral,SAR","[{'subject': 'Remote sensing'}, {'subject': 'Change Detection'}, {'subject': 'Multi-Spectral'}, {'subject': 'SAR'}]",,
-10.6084/m9.figshare.16851150,Additional file 6 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 6: Fig. S2. Invasion assay of HeLa cells depleted for NDPK-A. A) Phase-contrast microscopy of control (scramble, Scr) and NDPK-A-depleted HeLa cells 72â€‰h post-transfection. Note: Silenced cells are scattered as compared to control. B) Control siRNA and NDPK-A depleted (siNME1-1, siNME1-2) HeLa cells were tested for their ability to invade native type I collagen in a 24â€‰h invasion assay. Data are means Â± SEM (2 independent experiments). C) Activation status of Rac1 (Rac1-GTP) and PAK (phosphorylated PAK, pPAK) of NDPK-A depleted (siNME1-1, siNME1-2) HeLa cells as compared to total Rac1 and PAK protein, and NDPK-A protein levels. $$p&lt;â€‰0.01.",mds,True,findable,0,0,93,1,0,2021-10-22T04:08:01.000Z,2021-10-22T04:08:04.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['16028064 Bytes'],
-10.26302/sshade/experiment_bs_20200815_100,"Vis-NIR reflectance spectra of Pierremorte pigments (PIG_0020_A and B): blocks, powders, polished plot and painted matters",SSHADE/PIG (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of Pierremorte pigments (PIG_0020_A &amp; B) as two raw blocks, as powders with grain sizes &lt; 160 Âµm (2 densities: 1.04 and 1.54 g/cm3), and a painted matter on limestone",mds,True,findable,0,0,0,0,0,2020-08-27T18:16:55.000Z,2020-08-27T18:16:56.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,carbonate,limestone,Calcite,oxide-hydroxide,Hematite,tektosilicate,Quartz,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'carbonate'}, {'subject': 'limestone'}, {'subject': 'Calcite'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hematite'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['8 spectra'],['ASCII']
-10.6084/m9.figshare.12886132,Additional file 3 of Epidural analgesia in ICU chest trauma patients with fractured ribs: retrospective study of pain control and intubation requirements,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 3: Table S1. Sensitivity analysis restricted to the 526 patients in ICUs where at least 1 study patient received epidural analgesia.,mds,True,findable,0,0,1,1,0,2020-08-28T04:02:52.000Z,2020-08-28T04:02:55.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Neuroscience,Immunology,FOS: Clinical medicine,Science Policy,Mental Health,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}]",['14213 Bytes'],
-10.5281/zenodo.8289247,Optimized structures of the stationary points on the potential energy surface of the OH(2Î ) + C2H4 reaction,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This Zip file contains the cartesian coordinates of optimized stationary points of the OH(<sup>2</sup>Î ) + C<sub>2</sub>H<sub>4</sub> potential energy surface published in our article â€œOH(<sup>2</sup>Î ) + C<sub>2</sub>H<sub>4</sub> Reaction: A Combined Crossed Molecular Beam and Theoretical Studyâ€ (P<em>hys. Chem. A</em> 2023, 127, 21, 4609â€“4623), that can be found in https://doi.org/10.1021/acs.jpca.2c08662. All calculations have been performed with Gaussian 09, Revision D.01. All structures have been optimized at B3LYP/aug-cc-pVTZ level of theory.",mds,True,findable,0,0,0,1,0,2023-08-29T13:59:34.000Z,2023-08-29T13:59:34.000Z,cern.zenodo,cern,"Alcohols,Chemical calculations,Energy,Kinetics,Vinyl","[{'subject': 'Alcohols'}, {'subject': 'Chemical calculations'}, {'subject': 'Energy'}, {'subject': 'Kinetics'}, {'subject': 'Vinyl'}]",,
-10.5281/zenodo.7269139,Catalog of P-wave secondary microseisms events,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Catalog of P-wave secondary microseisms events,mds,True,findable,0,0,0,0,0,2022-11-01T00:26:15.000Z,2022-11-01T00:26:16.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_gs_20170712_001,Ag K edge XAS transmission of uncoated Ag nano-particles,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:37:17.000Z,2019-12-05T14:37:17.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,elemental solid,Ag nanoparticle,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'elemental solid'}, {'subject': 'Ag nanoparticle'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_rc_20191104_000,VIS-NIR reflectance spectra collected during low-temperature and near-vacuum sublimation of compact slabs of salty ice produced by slowly freezing solutions of NaCl with three different concentrations,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Compact slabs of salty ice are produced by slowly freezing small volumes of salt solutions into a laboratory freezer at 230K. The samples are then introduced in the SCITEAS-2 simulations chamber and their slow sublimation at low temperature and in secondary vacuum is followed for several tens of hours by VIS-NIR hyperspectral imaging.,mds,True,findable,0,0,0,0,0,2023-06-09T17:17:15.000Z,2023-06-09T17:17:16.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,water ice,NaCl hydrate,laboratory,inorganic molecular solid,chloride","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'NaCl hydrate', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'chloride', 'subjectScheme': 'compound type'}]",['180 spectra'],['ASCII']
-10.26302/sshade/experiment_zy_20180213_000,VIS-NIR reflectance spectra of binary mixtures of coarse-grained crushed CO2 ice particles (400-800 Âµm) and spherical water ice particles (67 Âµm average diameter),SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Particulate CO2 ice produced by crushing a piece of compact CO2 ice and sieving the powder to the 400-800 Âµm range is mixed with variable amounts of water ice (type SPIPA-B, 67 Âµm average) and the reflectance measured. Vis multispectral + NIR low resolution and Vis-NIR high resolution spectra.",mds,True,findable,0,0,0,0,0,2023-04-28T13:47:37.000Z,2023-04-28T13:47:38.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,solid CO2,water ice,solid,laboratory,inorganic molecular solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'reflectance factor', 'subjectScheme': 'var'}, {'subject': 'solid CO2', 'subjectScheme': 'name'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}]",['8 spectra'],['ASCII']
-10.5281/zenodo.8139775,High-end projections of Southern Ocean warming and Antarctic ice shelf melting in conditions typical of the end of the 23rd century,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>High-end projections of Southern Ocean warming and Antarctic ice shelf melting in conditions typical of the end of the 23rd century</strong> To evaluate the response of the Southern Ocean and Antarctic ice shelf cavities to an abrupt change to high-end atmospheric<br> conditions typical of the late 23rd century under the SSP5-8.5 scenario, in Mathiot and Jourdain (2023, submitted soon), we conducted 2 experiments. Our reference experiment (called REF) is driven by present day atmospheric condition. In the 23rd century simulation (called PERT), the present day atmospheric forcing is perturbed by the anomaly (2260-2299 minus 1975-2014) extracted from monthly outputs of the IPSL-CM6A-LR projections under the SSP5-8.5 emission scenario. REF is run over the latest 40 years and PERT is run for 100y starting from PERT at year 1999. This data set contains: The atmospheric forcing anomalies used to perturbed our reference atmospheric forcing in the PERT simulation; 30y monthly climatologies of multiple variables (ocean temperature, salinity, ssh, velocities, barotropic stream function, sea ice concentration, thickness, velocities and snow thickness) for PERT and REF. All the details on each dataset have been added in separated README in ATMO_ANOMALIES and OCEAN_CLIMATOLOGIES directory. As stated in each README, all the detailed on the simulations and atmospheric perturbation are available in Mathiot and Jourdain (2023, submitted soon).",mds,True,findable,0,0,0,0,0,2023-07-12T16:48:55.000Z,2023-07-12T16:48:56.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.1256648,Ripple Complex Experiments Data Set At Ciem Large Scale Wave Flume Within Hydralab + Project.,Zenodo,2018,,Dataset,"Creative Commons Attribution 4.0,Open Access","The RIPCOM experiments (RIPple COMplex experiments) are presented in order to study the ripple growth conditions on large wave flume tests under fine unimodal, coarse unimodal and mixed sands conditions. The main objectives of the experiments is to improve and understand the protocols to perform mixed sediment experiments within the ripple regime and use/improve the equipment developed at Task 9.1 of the COMPLEX Joint Research Activity within Hydralab+. The experiments were carried out in the large scale wave flume CIEM at Universitat PolitÃ¨cnica de Catalunya (UPC), Barcelona.
-The experimental plan is divided in three steps:
-1. Find the optimum wave conditions that ensure ripples (based on measured velocities and previous literature studies) on the study area. Test the targeted waves with unimodal fine sediment (d 50 =0.250 mm) and measure the obtained ripples under the tested conditions. From the obtained measurements, the waves to be used on the next two steps are selected in order to fix the best conditions to produce ripples within the experimental constrains.
-2. The 13 upper cm of the fine sediment is removed and replaced by the coarser sediment (d 50 =0.545 mm). Once that is done the selected waves to be tested are reproduced and the bottom bedforms are measured.
-3. Mix both sediments fine and coarser sand homogeneously in order to repeat the selected wave conditions and measure the ripples growth and evolution under mixed sediment conditions.
-Due to its size, the data set can not be placed on this repository and will be provided on demand. Please contact with the authors or with the data manager of the CIEM installation.",,True,findable,0,0,0,0,0,2018-05-31T13:26:34.000Z,2018-05-31T13:26:34.000Z,cern.zenodo,cern,"large scale experiments,wave flume,mobile bed,ripples,sediment transport","[{'subject': 'large scale experiments'}, {'subject': 'wave flume'}, {'subject': 'mobile bed'}, {'subject': 'ripples'}, {'subject': 'sediment transport'}]",,
-10.26302/sshade/experiment_bs_20120803_001,Near-IR bidirectional reflection spectra (i=0Â°/e=30Â°) of Smectite SWy-2 with different amounts of adsorbed H2O at -30Â°C,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Near-IR bidirectional reflection spectra (at fixed geometry: i=0Â°/e=30Â°) of Smectite SWy-2 with different amounts of adsorbed H2O at -30Â°C, under increasing, then decreasing pressure of H2O vapor.",mds,True,findable,0,0,0,0,0,2019-11-02T08:57:38.000Z,2019-11-02T08:57:39.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Na-Montmorillonite,physically adsorbed phase,Adsorbed water,tektosilicate,Quartz,Plagioclase,sulfate,Gypsum,carbonate,Calcite,Dolomite,Kaolinite,Chlorites,inosilicate,Clinopyroxenes,Orthopyroxenes,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-Montmorillonite'}, {'subject': 'physically adsorbed phase'}, {'subject': 'Adsorbed water'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'Plagioclase'}, {'subject': 'sulfate'}, {'subject': 'Gypsum'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'Dolomite'}, {'subject': 'Kaolinite'}, {'subject': 'Chlorites'}, {'subject': 'inosilicate'}, {'subject': 'Clinopyroxenes'}, {'subject': 'Orthopyroxenes'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['21 spectra'],['ASCII']
-10.26302/sshade/experiment_ct_20090317_001,NIR reflectance spectra of water ice with varying grain size and temperature,SSHADE/SSTONE (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","An experimental facility has been set up to acquire infrared spectra of pure water ices with controlled grain sizes ranging from 80 to 700 Âµm and temperatures ranging from 80 to 140 K at 0.01 mbar. Forty-seven near IR spectra (1.0â€“5.0 Âµm), selected among the total acquired spectra, permit us to determine how spectral characteristics between 1.0 and 1.8 Âµm depend on both grain size and temperature.",mds,True,findable,0,0,0,0,0,2019-11-01T08:20:43.000Z,2019-11-01T08:20:43.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,Crystalline H2O ice,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'Crystalline H2O ice'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['224 spectra'],['ASCII']
-10.17178/amma-catch.ce.sw_odc,"Soil dataset (soil moisture, temperature, and succion profiles),within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Document soil water redistribution in the upper soil layer along three catenae. Estimate the influence of the vegetation type on the water dynamics.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:05.000Z,2018-03-16T15:37:06.000Z,inist.osug,jbru,"Soil moisture/water content, soil water/succion pressure, soil temperature,Sudanian climate,Soil Moisture/Water Content at depth 25 cm,Soil Water/Watermark Resistance at depth 1.3 m,Soil Water/Succion at depth 60 cm,Soil Water/Watermark Resistance at depth 10 cm,Soil Water/Succion at depth 10 cm,Soil Temperature at depth 50 cm,Soil Moisture/Water Content at depth 1 m,Soil Water/Watermark Resistance at depth 1.5 m,Soil Water/Watermark Resistance at depth 80 cm,Soil Water/Succion at depth 80 cm,Soil Moisture/CS616 Period at depth 1 m,Soil Moisture/CS616 Period at depth 10 cm,Soil Water/Succion at depth 2 m,Soil Water/Watermark Resistance at depth 50 cm,Soil Water/Watermark Resistance at depth 2.9 m,Soil Moisture/Water Content at depth 80 cm,Soil Water/Watermark Resistance at depth 2.8 m,Soil Moisture/Water Content at depth 5 cm,Soil Moisture/CS616 Period at depth 40 cm,Soil Water/Succion at depth 2.8 m,Soil Water/Watermark Resistance at depth 1.9 m,Soil Temperature at depth 80 cm,Soil Moisture/Water Content at depth 40 cm,Soil Moisture/CS616 Period at depth 80 cm,Soil Water/Succion at depth 25 cm,Soil Water/Succion at depth 2.4 m,Soil Water/Succion at depth 1 m,Soil Water/Succion at depth 40 cm,Soil Moisture/Water Content at depth 10 cm,Soil Water/Watermark Resistance at depth 3 m,Soil Water/Succion at depth 1.2 m,Soil Water/Watermark Resistance at depth 1.2 m,Soil Moisture/CS616 Period at depth 50 cm,Soil Water/Watermark Resistance at depth 1.4 m,Soil Temperature at depth 5 cm,Soil Water/Watermark Resistance at depth 2 m,Soil Moisture/CS616 Period at depth 5 cm,Soil Water/Watermark Resistance at depth 2.4 m,Soil Moisture/CS616 Period at depth 25 cm,Soil Water/Succion at depth 1.8 m,Soil Temperature at depth 40 cm,Soil Water/Succion at depth 2.5 m,Soil Water/Succion at depth 20 cm,Soil Temperature at depth 20 cm,Soil Temperature at depth 1.5 m,Soil Water/Succion at depth 3 m,Soil Water/Succion at depth 50 cm,Soil Moisture/Water Content at depth 1.2 m,Soil Moisture/CS616 Period at depth 20 cm,Soil Moisture/CS616 Period at depth 1.2 m,Soil Water/Succion at depth 1.9 m,Soil Moisture/CS616 Period at depth 60 cm,Soil Temperature at depth 1.2 m,Soil Temperature at depth 10 cm,Soil Water/Succion at depth 2.2 m,Soil Temperature at depth 60 cm,Soil Water/Succion at depth 1.5 m,Soil Moisture/Water Content at depth 50 cm,Soil Moisture/Water Content at depth 20 cm,Soil Water/Watermark Resistance at depth 2.5 m,Soil Water/Watermark Resistance at depth 40 cm,Soil Water/Watermark Resistance at depth 60 cm,Soil Moisture/Water Content at depth 60 cm,Soil Water/Watermark Resistance at depth 1.8 m,Soil Water/Succion at depth 2.9 m,Soil Temperature at depth 25 cm,Soil Water/Succion at depth 1.3 m,Soil Water/Watermark Resistance at depth 25 cm,Soil Water/Watermark Resistance at depth 1 m,Soil Temperature at depth 1 m,Soil Water/Watermark Resistance at depth 2.2 m,Soil Water/Watermark Resistance at depth 20 cm,Soil Water/Succion at depth 1.4 m","[{'subject': 'Soil moisture/water content, soil water/succion pressure, soil temperature', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/Water Content at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.3 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2.9 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2.8 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2.8 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.9 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 80 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2.4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 3 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2.4 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.8 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 3 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.9 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/CS616 Period at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 50 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2.5 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 60 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1.8 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 2.9 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.3 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 25 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 2.2 m', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Watermark Resistance at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Water/Succion at depth 1.4 m', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.7969434,Sample Tomography Image,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Sample Tomography Image,mds,True,findable,0,0,0,0,0,2023-05-25T08:05:35.000Z,2023-05-25T08:05:36.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10485581,"Fig. 5 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016,,Image,License Not Specified,"Fig. 5. LC/MS analyses of the reaction catalyzed by ceQORH in the presence of trans- 1,3-diphenyl-2-propenone and NADPH. (A) HPLC chromatogram recorded at 250 and 312 nm of a 90 min reaction. (B) LC/MS chromatogram. (C) MS spectrum of the elution pick at 3.99 min. The peak with m/z = 233.09 corresponds to the sodium ion of trans-1,3-diphenyl-2-propanone (D) MS spectrum of trans-1,3-diphenyl-2- propenone (m/z = 230.97 corresponds to the sodium ion of trans-1,3-diphenyl-2- propenone).",api,True,findable,0,0,0,0,0,2024-01-11T04:59:41.000Z,2024-01-11T04:59:42.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.17178/emaa_so_fine_e3d652e7,Fine excitation of SO by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",31 fine energy levels / 101 radiative transitions / 465 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:32.000Z,2023-12-07T15:52:32.000Z,inist.osug,jbru,"target SO,excitationType Fine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target SO', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.10050503,Data and code associated with the manuscript: Three centuries of snowpack decline at an Alpine pass revealed by cosmogenic paleothermometry and luminescence photochronometry,Zenodo,2023,,Dataset,GNU General Public License v3.0 or later,"This dataset contains the data as well as the Matlab codes needed to reproduce the results in the following manuscript:
-Guralnik, B., Tremblay, M.M., Phillips, M., Sellwood, E.L., Gribenski, N., Presl, R., Haberkorn, A., Sohbati, R., Shuster, D.L., Valla, P., Jain, M., Schindler, K., Hippe, K., and Wallinga, J., Three centuries of snowpack decline at an Alpine pass revealed by cosmogenic paleothermometry and luminescence photochronometry.Â 
-This manuscript has been submitted to a peer-reviewed journal for publication. Briefly, this manuscript presents a novel combination of cosmogenic paleothermometery (quartz He-3) and luminescence photochronometery (feldspar IRSL), which jointly constrain the temperature and insolation history of three bedrock outcrops at the Gotthard Pass in Switzerland over the last ~15,000 years.Â 
-The data include (1) measured concentrations of cosmogenic Be-10, C-14, and He-3 in quartz, (2) stepwise degassing experiments on proton irradiated quartz grains that are used to determine sample-specific He-3 diffusion kinetics, (3) best-fit multiple diffusion domain (MDD) models to the proton-induced He-3 diffusion experiments, (5) Natural radioactivity and calculated feldspar infrared stimulated luminescence (ISRL) dose rates, (6) feldspar ISRL depth profiles, and (7) high-resolution microrelief surface scans and analysis.
-The code includes scripts necessary to reproduce the figures and results associated with this manuscript. The code is organized by figure into subfolders, and any data needed to reproduce a figure should be included in that folder. All original codes are distributed under the GNU General Public License. Codes written by others and utilized here are redistributed under their original license according to the terms and conditions therein, and are provided in the folder 'external.'
-Any questions about original Matlab codes published here should be directed to Benny Guralnik, benny.guralnik@gmail.com.",api,True,findable,0,0,0,0,0,2023-10-28T22:58:22.000Z,2023-10-28T22:58:22.000Z,cern.zenodo,cern,"snow,cosmogenic,paleothermometry,luminescence,Alpine","[{'subject': 'snow'}, {'subject': 'cosmogenic'}, {'subject': 'paleothermometry'}, {'subject': 'luminescence'}, {'subject': 'Alpine'}]",,
-10.6084/m9.figshare.22599664,Additional file 2 of Procalcitonin to reduce exposure to antibiotics and individualise treatment in hospitalised old patients with pneumonia: a randomised study,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 2.,mds,True,findable,0,0,0,0,0,2023-04-13T09:42:55.000Z,2023-04-13T09:42:56.000Z,figshare.ars,otjm,"Space Science,Medicine,Immunology,FOS: Clinical medicine,Cancer,111714 Mental Health,FOS: Health sciences,110309 Infectious Diseases","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}]",['286856 Bytes'],
-10.17178/emaa_h(13c)n_hyperfine_9c162ef8,Hyperfine excitation of H[13C]N by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",16 hyperfine energy levels / 27 radiative transitions / 115 collisional transitions for electron (12 temperatures in the range 10-1000K) / 120 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:49.000Z,2021-11-18T13:34:50.000Z,inist.osug,jbru,"target H[13C]N,excitationType Hyperfine,collisional excitation,collider.0 electron,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target H[13C]N', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.6977303,High resolution spectra of the spinning-top Be star Achernar,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Achernar, the closest and brightest classical Be star, presents rotational flattening, gravity darkening, occasional emission lines due to a gaseous disk, and an extended polar wind. It is also a member of a close binary system with an early A-type dwarf companion. We aim to determine the orbital parameters of the Achernar system and to estimate the physical properties of the components. We monitored the relative position of Achernar B using a broad range of high angular resolution instruments of the VLT/VLTI over a period of 13 years (2006-2019). These astrometric observations are complemented with a series of more than 700 optical spectra for the period from 2003 to 2016. The present dataset contains the high resolution spectra of Achernar that were included in our study. They were collected using the BESO, BeSS, CHIRON, CORALIE, FEROS, HARPS, PUCHEROS, and UVES instruments. The spectra are provided in the form of standard FITS files, with the continuum flux normalized to unity.",mds,True,findable,0,0,0,0,0,2022-09-15T17:38:33.000Z,2022-09-15T17:38:33.000Z,cern.zenodo,cern,"Stars: individual: Achernar,Astrometry and celestial mechanics,Techniques: high angular resolution,Techniques: interferometric,Techniques: radial velocities,Stars: binaries: visual","[{'subject': 'Stars: individual: Achernar'}, {'subject': 'Astrometry and celestial mechanics'}, {'subject': 'Techniques: high angular resolution'}, {'subject': 'Techniques: interferometric'}, {'subject': 'Techniques: radial velocities'}, {'subject': 'Stars: binaries: visual'}]",,
-10.26302/sshade/experiment_op_20200623_001,"Vis-NIR reflectance spectra of a mixture of Magnetite, NH4-Nontronite, Antigonite and Dolomite, pure, mixed with Water ice, during and after ice sublimation",SSHADE/CSS (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","This mixture was prepared as a spectral analogue for Ceres surface material. We measured the reflectance spectra (from 0.5 to 4 Âµm) of the mixture pure (at room temperature) and mixed with water ice particles (at 173 K), as well as during and after sublimation of the water ice under high vacuum (at 173 K). The spectrum of the surface obtained after sublimation exhibits a blue spectral slope.",mds,True,findable,0,0,0,0,0,2020-11-02T12:56:44.000Z,2020-11-02T15:55:13.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,oxide-hydroxide,Magnetite,laboratory,phyllosilicate,NH4-nontronite,Antigorite,carbonate,Dolomite,interlayer phase,interlayer water,solid,inorganic molecular solid,water ice,commercial,unknown,Unknown black coating of Matt Black Aluminum Foil Tape Advance GaffaÂ®,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Magnetite'}, {'subject': 'laboratory'}, {'subject': 'phyllosilicate'}, {'subject': 'NH4-nontronite'}, {'subject': 'Antigorite'}, {'subject': 'carbonate'}, {'subject': 'Dolomite'}, {'subject': 'interlayer phase'}, {'subject': 'interlayer water'}, {'subject': 'solid'}, {'subject': 'inorganic molecular solid'}, {'subject': 'water ice'}, {'subject': 'commercial'}, {'subject': 'unknown'}, {'subject': 'Unknown black coating of Matt Black Aluminum Foil Tape Advance GaffaÂ®'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['26 spectra'],['ASCII']
-10.5281/zenodo.4601172,RUSTInA: Automatically checking and Patching Inline Assembly Interface Compliance (Artifact Evaluation),Zenodo,2021,en,Software,"Creative Commons Attribution 4.0 International,Open Access","The main goal of the artifact is to support the experimental claims of the paper #992 â€œInterface Compliance of Inline Assembly: Automatically Check, Patch and Refineâ€ by making both the prototype and data available to the community. The expected result is the same output as the figures given in Table I and Table IV (appendix C) of the paper. In addition, we hope the released snapshot of our prototype is simple, documented and robust enough to have some uses for people dealing with inline assembly. The artifact is made publicly available on Github at: https://github.com/binsec/icse2021-artifact992/, and more information on RUSTInA can be found at https://binsec.github.io/new/publication/1970/01/01/nutshell-icse-21.html.",mds,True,findable,0,0,0,0,0,2021-03-12T13:58:36.000Z,2021-03-12T13:58:37.000Z,cern.zenodo,cern,"low-level programming,inline assembly,compilation issues,program analysis","[{'subject': 'low-level programming'}, {'subject': 'inline assembly'}, {'subject': 'compilation issues'}, {'subject': 'program analysis'}]",,
-10.15778/resif.3a2008,ARC Vanutu temporay experiment (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2011,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Local network in central Vanuatu (south Santo and north Mallicolo), covering the seismogenic zone in the regions where several asperities enter into subduction",mds,True,findable,0,0,0,3,0,2018-02-21T08:51:06.000Z,2018-02-21T08:51:06.000Z,inist.resif,vcob,"Seismology,Geodynamics","[{'subject': 'Seismology'}, {'subject': 'Geodynamics'}]",['510 Gb;89 stations'],"['stationXML metadata', 'miniseed data']"
-10.17178/emaa_heh-plus_rotation_2ccc89ee,Rotation excitation of HeH+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 57 collisional transitions for electron (12 temperatures in the range 10-3000K) / 45 collisional transitions for H (18 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:10.000Z,2021-11-18T13:35:10.000Z,inist.osug,jbru,"target HeH+,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 H,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HeH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 H', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.5108951,"Spatial slip rate distribution along the SE Xianshuihe fault, eastern Tibet, and earthquake hazard assessment",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",<strong><em>Table 2: </em></strong><em><sup>10</sup></em><em>Be surface-exposure ages of Zheduotang (ZDT) and Moxi (MX) sites of the SE Xianshuihe fault.</em>,mds,True,findable,0,0,0,0,0,2021-07-16T02:27:16.000Z,2021-07-16T02:27:17.000Z,cern.zenodo,cern,"Xianshuihe fault,eastern Tibet,cosmogenic dating,tectonic-geomorphology,late Quaternary slip rates,active pull apart basin,earthquake hazard","[{'subject': 'Xianshuihe fault'}, {'subject': 'eastern Tibet'}, {'subject': 'cosmogenic dating'}, {'subject': 'tectonic-geomorphology'}, {'subject': 'late Quaternary slip rates'}, {'subject': 'active pull apart basin'}, {'subject': 'earthquake hazard'}]",,
-10.5281/zenodo.10475278,DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages,Zenodo,2023,mul,Dataset,Creative Commons Attribution 4.0 International,"The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
-This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).",api,True,findable,0,0,0,0,0,2024-01-09T15:40:33.000Z,2024-01-09T15:40:33.000Z,cern.zenodo,cern,"Wiktionary,LLOD,Linguistic Linked Open Data,Ontolex,RDF","[{'subject': 'Wiktionary'}, {'subject': 'LLOD'}, {'subject': 'Linguistic Linked Open Data'}, {'subject': 'Ontolex'}, {'subject': 'RDF'}]",,
-10.57745/xhq7tl,Annual glacier surface flow velocity product from Sentinel-2 data for the European Alps,Recherche Data Gouv,2023,,Dataset,,"Glacier ice flow velocity is an important variable to document the past and current status of the glacier worldwide. The aim of the ESA AlpGlacier project is to create innovative products for glaciers and their environments from remote sensing data for the European Alps mountain range. The data set proposed here includes maps of annual glacier surface flow velocities for the period 2015-2021, created from Sentinel-2 optical data with the work-flow presented in Mouginot et al., 2023. It can be used for the monitoring of glacier dynamics or for hazards detection associated to glaciers destabilization, as well as an input of models calibration and validation. These products are distributed in both netCDF and GeoTiff formats, georeferenced under the UTM-32N projection.",mds,True,findable,311,35,0,0,0,2023-03-01T09:50:30.000Z,2023-03-02T14:05:25.000Z,rdg.prod,rdg,,,,
-10.17178/emaa_para-nd3_rotation_da7fd1bd,Rotation excitation of para-ND3 by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",9 rotation energy levels / 8 radiative transitions / 36 collisional transitions for para-H2 (8 temperatures in the range 5-40K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:08.000Z,2021-11-17T14:02:09.000Z,inist.osug,jbru,"target para-ND3,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-ND3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.15778/resif.x72010,Seismic network X7:PYROPE PYRenean Observational Portable Experiment (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2017,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Temporary seismic experiments in the Pyrenees and neighbouring areas. Goal: seismic imaging of the lithospheric structure. Backbone: ~45 broadband stations in a 2-D array with ~60 km spacing deployed for ~2.5 years in the Northern side (French side) of the Pyrenees and along the coast of the Bay of Biscay. Sensors: mostly STS-2 and a few CMG3-ESP. Digitizers: mostly Nanometrics Taurus and a few Agecodagis Kephren. The dataset also includes three profiles across the Pyrenees with 20-30 stations each, deployed for 1 year each, 5-7 km interstation spacing. Sensors: GÃ¼ralp CMG40-T. Digitizers: Nanometrics Taurus.",mds,True,findable,0,0,0,3,0,2015-04-03T08:27:49.000Z,2015-04-03T08:27:49.000Z,inist.resif,vcob,"Pyrenees,Seismic imaging,Lithospheric structure","[{'subject': 'Pyrenees'}, {'subject': 'Seismic imaging'}, {'subject': 'Lithospheric structure'}]","['160 stations, 2500 Gb']","['Miniseed data data', 'stationXML metadata']"
-10.5281/zenodo.10020957,robertxa/Therion-TextWrangler: First Release,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,Syntax Color file of Therion input files with TexWrangler,api,True,findable,0,0,0,0,0,2023-10-19T08:40:29.000Z,2023-10-19T08:40:29.000Z,cern.zenodo,cern,,,,
-10.57745/grhrzj,Dry powders reflectance model based on enhanced backscattering: case of hematite Î± - Fe_2 O_3,Recherche Data Gouv,2023,,Dataset,,"Data associated to the paper entitled: Morgane Gerardin, Pauline Martinetto, and Nicolas Holzschuch, ""Dry powders reflectance model based on enhanced backscattering: case of hematiteÎ±â€“Fe2O3,"" J. Opt. Soc. Am. A 40, 1817-1830 (2023) The appearance of materials is described by a function known as the Bidirectionnal Reflectance Distribution Function (BRDF). This function can be acquired through gonio-spectrophotometry, by measuring the scattering of light by a sample of study for multiple illumination directions and multiple observation directions. When it comes to the scattering of light in the back scattering direction (illumination and observation directions are coincident), a specific instrument allowing such configuration to be measured is required. This dataset provides complete BRDF measurements data acquired on numerous dry hematite powders, with different color and different grain morphology. The main part of the BSDF is measured using the Gonio-spectrophotometer SHADOWS (IPAG), and the back scattering is measured using an instrument designed at Institut NÃ©el. These data were collected in the context of the Cross Disciplinary Program Patrimalp, supported by the French National Research Agency in the framework of the Investissements dâ€™Avenir program (ANR-15-IDEX-02). See README file for a complete description of the available data.",mds,True,findable,92,0,0,0,0,2023-08-24T12:59:36.000Z,2023-10-17T11:38:57.000Z,rdg.prod,rdg,,,,
-10.26302/sshade/experiment_dt_20170222_001,Y K edge XAS fluorescence of yttrium(III) solution at hydrothermal conditions: 800 bar 30 to 450Â°C,SSHADE/FAME (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Chloride molality varying from 0.03 to 10 m; temperature varying from 25 to 450 Â°C,mds,True,findable,0,0,0,0,0,2019-11-15T20:27:18.000Z,2019-11-15T20:27:18.000Z,inist.sshade,mgeg,"laboratory,liquid solution,Yttrium(III) solution at hydrothermal conditions: Y 0.011m Cl 10.02m Li 9.49m HCl 0.5m,Yttrium(III) solution at hydrothermal conditions: Y 0.01m Cl 0.03m HCl 0.002m,Yttrium(III) solution at hydrothermal conditions: Y 0.011m Cl 0.79m HCl 0.75m,Yttrium(III) solution at hydrothermal conditions: Y 0.012m Cl 2.52m Na 1.99m HCl 0.5m,Yttrium(III) solution at hydrothermal conditions: Y 0.92m Cl 2.76m,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'liquid solution'}, {'subject': 'Yttrium(III) solution at hydrothermal conditions: Y 0.011m Cl 10.02m Li 9.49m HCl 0.5m'}, {'subject': 'Yttrium(III) solution at hydrothermal conditions: Y 0.01m Cl 0.03m HCl 0.002m'}, {'subject': 'Yttrium(III) solution at hydrothermal conditions: Y 0.011m Cl 0.79m HCl 0.75m'}, {'subject': 'Yttrium(III) solution at hydrothermal conditions: Y 0.012m Cl 2.52m Na 1.99m HCl 0.5m'}, {'subject': 'Yttrium(III) solution at hydrothermal conditions: Y 0.92m Cl 2.76m'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['26 spectra'],['ASCII']
-10.6084/m9.figshare.c.6853693,Obstructive sleep apnea: a major risk factor for COVID-19 encephalopathy?,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background This study evaluates the impact of high risk of obstructive sleep apnea (OSA) on coronavirus disease 2019 (COVID-19) acute encephalopathy (AE). Methods Between 3/1/2020 and 11/1/2021, 97 consecutive patients were evaluated at the Geneva University Hospitals with a neurological diagnosis of COVID-19 AE. They were divided in two groups depending on the presence or absence of high risk for OSA based on the modified NOSAS score (mNOSAS, respectively â‰¥ 8 and &lt; 8). We compared patientsâ€™ characteristics (clinical, biological, brain MRI, EEG, pulmonary CT). The severity of COVID-19 AE relied on the RASS and CAM scores. Results Most COVID-19 AE patients presented with a high mNOSAS, suggesting high risk of OSA (&gt; 80%). Patients with a high mNOSAS had a more severe form of COVID-19 AE (84.8% versus 27.8%), longer mean duration of COVID-19 AE (27.9 versus 16.9 days), higher mRS at discharge (â‰¥ 3 in 58.2% versus 16.7%), and increased prevalence of brain vessels enhancement (98.1% versus 20.0%). High risk of OSA was associated with a 14 fold increased risk of developing a severe COVID-19 AE (OR = 14.52). Discussion These observations suggest an association between high risk of OSA and COVID-19 AE severity. High risk of OSA could be a predisposing factor leading to severe COVID-19 AE and consecutive long-term sequalae.",mds,True,findable,0,0,0,0,0,2023-09-27T03:26:12.000Z,2023-09-27T03:26:13.000Z,figshare.ars,otjm,"Biophysics,Medicine,Cell Biology,Neuroscience,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Cancer,Mental Health,Virology","[{'subject': 'Biophysics'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Virology'}]",,
-10.6084/m9.figshare.23822154,Dataset for the main experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,Data for the main experiment in CSV format.,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:26.000Z,2023-08-02T11:18:26.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['29026 Bytes'],
-10.26302/sshade/experiment_ik_20210602_001,Mo K edge XAS transmission of Na2MoO4 reference for energy resolution optimisation,SSHADE/FAME (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-06-09T06:57:34.000Z,2021-06-09T06:57:35.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,molybdate,Na2MoO4,laboratory measurement,transmission,None,hard X","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'molybdate'}, {'subject': 'Na2MoO4'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.5243257,Dutch DBnary archive in original Lemon format,Zenodo,2021,nl,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Dutch language edition, ranging from 25th April 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T10:51:42.000Z,2021-08-24T10:51:43.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.6084/m9.figshare.22625629,"Additional file 8 of A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 8.,mds,True,findable,0,0,0,0,0,2023-04-13T18:56:16.000Z,2023-04-13T18:56:16.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['984563 Bytes'],
-10.5281/zenodo.5793694,Nitrate Î´15N values and surface mass balance reconstructions from East Antarctica,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Geographic information, surface mass balance (SMB) data, and sub-photic zone (&gt;0.3 m) nitrate concentration and nitrogen isotopic composition (Î´15NNO3) for 135 sites across East Antarctica. This database was used to examine and define the relationship between Î´15NNO3 and SMB in Antarctica as part of the SCADI (Snow Core Accumulation from Delta-15N Isotopes) and EAIIST (East Antarctic International Ice Sheet Traverse) projects. Of these 135 sites, 92 are newly reported here while the other site data were previously published and are cited accordingly. Snow bearing nitrate was sampled from snow pits and firn/ice cores at different dates depending on the original scientific campaign, but predominately between 2010 and 2020, with the earliest sampling occurring in 2004. Nitrate was later extracted from the snow, concentrated, and analyzed for Î´15NNO3. Surface mass balance data comes from a combination of previous ground-based observations (e.g., stakes, ice core data) and the output from ModÃ¨le AtmosphÃ©rique RÃ©gional version 3.6.4 with European Centre for Medium-Range Weather Forecasts â€œInterimâ€ re-analysis data (ERA-interim) data, adjusted for observed model SMB biases. Elevation data were extracted from the Reference Elevation Model of Antarctica (REMA, https://doi.org/10.5194/tc-13-665-2019). Also contains nitrate concentration and isotopic (Î´15NNO3) data, ice density, and surface mass balance estimates from the ABN1314-103 ice core. This 103 m long core was drilled beginning on 07 January 2014 as one of three ice cores at Aurora Basin North, Antarctica (-71.17, 111.37, 2679 m.a.s.l), in the 2013-2014 field season. The age-depth model for ABN1314-103 was matched through ion profiles from an annually-resolved model (ALC01112018) originally developed for one of the other ABN cores through seasonal ion and water isotope cycles and constrained by volcanic horizons. Each 1 m segment of the core was weighed and measured for ice density calculations, and then sampled for nitrate at 0.33 m resolution. Nitrate concentrations were taken on melted ice aliquots with ion chromatography, while isotopic analysis was achieved through bacterial denitrification and MAT 253 mass spectrometry after concentrating with anionic resin. Using the density data and the age-depth modelâ€™s dates for the top and bottom of each 1 m core segment, we reconstructed a history of surface mass balance changes as recorded in ABN1314-103. Additionally, we also estimated the effect of upstream topographic changes on the ice coreâ€™s surface mass balance record through a ground penetrating radar transect that extended 11.5 km against the direction of glacial ice flow. The modern SMB changes along this upstream transect were linked to ABN1314-103 core depths by through the local horizontal ice flow rate (16.2 m a-1) and the coreâ€™s age-depth model, and included here for comparative analysis.",mds,True,findable,0,0,0,0,0,2021-12-20T14:57:45.000Z,2021-12-20T14:57:45.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.dh478,"Data from: Paying for conservation: a bioeconomic analysis of the effects of land management options on the viability of an endangered species, Eryngium alpinum",Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"1. Land management is critical for biodiversity conservation in mountain grasslands. It should be both ecologically effective and economically efficient. We provide an economic analysis of different options (spring and autumn grazing, mowing and abandonment) and their effects on population viability of a rare plant species, Eryngium alpinum (Apiaceae), in two French mountain grassland sites (Fournel and Pralognan). 2. Using data collected in a ten-year, individual-based demographic study, we estimated the effects of land management options on the population growth rate and simulated the effect of combinations of options. Income earned through each option was estimated using data on associated costs (price of consumables, working time, wages) and benefits (forage production, quality and price), and we assessed the economic effects of agri-enviro nment subsidies (AESs). We also simulated the effects of increased frequencies of extreme climatic events (such as the 2003 heatwave). 3. Spring grazing was the worst option for E. alpinum demography but the best in economic terms, as it provided net positive incomes. Autumn grazing was the best option, resulting in positive growth rates and incomes, even if the latter were lower than for spring grazing. Mowing was the second best option for demography but resulted in economic losses for farmers. Abandonment provided zero income and was not favourable to population growth. 4. In Fournel, AESs allowed for economically and ecologically near-optimal combinations of management options. In Pralognan, alternating years of grazing with mowing resulted in an acceptable compromise, with positive growth rates and incomes, but AESs were not sufficient to cover the opportunity cost of spring and autumn grazing. Mowing was also unattractive because of the inaccessibility of the site and impossibility to recover the hay to make forage. 5. Simulations with increased frequency of extreme climatic events resulted in negative growth rates in Pralognan, questioning the continuation of AESs in extinction-prone populations. 6. Synthesis and applications. The conservation effectiveness and economic efficiency of grassland management could be improved by alternating practices over several years. However, existing agri-environment subsidies would barely be sufficient to increase uptake of the most favourable land management options for biodiversity.",mds,True,findable,165,10,1,1,0,2018-01-17T15:48:18.000Z,2018-01-17T15:48:19.000Z,dryad.dryad,dryad,"Eryngium alpinum,mowing,heatwave effects,agri-encironmental measures","[{'subject': 'Eryngium alpinum'}, {'subject': 'mowing'}, {'subject': 'heatwave effects'}, {'subject': 'agri-encironmental measures'}]",['17600 bytes'],
-10.6084/m9.figshare.22625632,"Additional file 9 of A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 9.,mds,True,findable,0,0,0,0,0,2023-04-13T18:56:14.000Z,2023-04-13T18:56:15.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1022601 Bytes'],
-10.48380/dggv-p1k4-1p40,Hydrogen and organic molecules generation from water radiolysis: from grave to cradle,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2021,en,Text,,"Water radiolysis is a key process for hydrogen (H2) and abiotic organic molecules generation in the Earthâ€™s crust. The aim of this presentation is to provide some insight into this process from a radiochemist viewpoint. We will transpose the knowledge we gain from water radiolysis in the context of radioactive waste disposal to natural geological settings and draw important conclusions for deep microbial ecosystems development and abiotic organic synthesis. Some examples will be given about: (i) the relationship between H2 production ant the nature of the emitted particle (Î±/Î²/Î³) considered for water radiolysis, (ii) the boosted production of H2 observed when aqueous solutions are in contact with some mineral surfaces such as rutile (TiO2) and calcite (CaCO3), (iii) the scavenging role of carbonate anions onto hydroxyl radical and the amplified yield of H2, (iv) the switch from an inorganic world to an organic one through the carboxylate anions production from carbonate radiolysis. Radiation chemistry is often overlooked by geologists who consider the process as anecdotic (apart for the thermal budget of Earth) in term of mass balance. However, water radiolysis is a large-scale ubiquist process in the crust and it does not need specific conditions to occur. We will show that at geological time scale, water radiolysis leads to a very diverse, reactive, and fun chemistry able to sustain life and even to create the condition for its emergence.",fabricaForm,True,findable,0,0,0,0,0,2022-04-12T12:21:04.000Z,2022-04-12T12:21:30.000Z,mcdy.dohrmi,mcdy,,,,
-10.5281/zenodo.3603072,"Bibliography of the Systematic Literature Review of the IPBES Global Assessment, Chapter 4",Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Bibliographies from the systematic literature review in Chapter 4 of the IPBES Global Assessment DOI: 10.5281/zenodo.3553579,mds,True,findable,0,0,1,0,0,2020-05-25T09:13:11.000Z,2020-05-25T09:13:13.000Z,cern.zenodo,cern,,,,
-10.57745/nzfwp9,"Data supporting the article ""In-situ study of microstructures induced by the olivine to wadsleyite transformation at conditions of the 410 km depth discontinuity"" by Ledoux et al.",Recherche Data Gouv,2023,,Dataset,,"We provide here the data supporting our article entitled ""In-situ study of microstructures induced by the olivine to wadsleyite transformation at conditions of the 410 km depth discontinuity"". Raw diffraction images as well as files needed to process the data are given for the four datasets we present in the paper.",mds,True,findable,50,0,0,0,0,2023-01-23T17:42:35.000Z,2023-05-02T17:57:29.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.3628018,"Data Accompanying ""Dynamics of Water Absorption in Callovo-Oxfordian Claystone Revealed With Multimodal X-Ray and Neutron Tomography""",Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These are the datasets analysed in the publication ""Dynamics of Water Absorption in<br> Callovo-Oxfordian Claystone Revealed With Multimodal X-Ray and Neutron Tomography"" by Stavropoulou <em>et al.</em> in 2020 in Frontiers in Earth Science, DOI: https://doi.org/10.3389/feart.2020.00006 File 1 contains the 3D reconstructed x-ray and neutron tomography volumes analysed in the paper. State 002 is taken as a reference and the greylevels of all images in the times series for both x-ray and neutrons are rescaled using two characteristic image features (top-cap and air in the case of x-rays) linearly to align with 002. Neutron volumes are rescaled to the same pixel size as 2-bin x-ray volumes, and a mean registration is applied to align neutrons with x-rays.<br> Furthermore, a bilateral filter is applied to the neutron tomographies (domain sigma = 1, range sigma=3000).<br> Full scale images are available at https://doi.ill.fr/10.5291/ILL-DATA.UGA-42<br> File 2 contains the joint histograms for registered pairs of images, as visible in Figure 4 and Figure 5.<br> File 3 contains the results of the digital volume correlation performed with the spam tookit.<br> The overall ""registration"" is used to create Figure 6<br> The global correlations available in ""gdic"" are used to create Figures 7, 8 and 9.",mds,True,findable,9,0,0,0,0,2020-02-01T13:10:52.000Z,2020-02-01T13:10:53.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7015277,"Supplemental information data from: ""Evidence for amorphous sulfates as the main carrier of soil hydration in Gale crater, Mars""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset includes the target name and chemical composition of each ChemCam sequence used in the above-mentioned article. The quantification for each ChemCam spectrum in the soils of the Bradbury, Rocknest and Yellowknife Bay area are in percentage mass fractions (wt.%) for most major oxides (i.e., SiO2, TiO2, Al2O3, FeOT , MgO, CaO, Na2O, K2O). Sulfur and hydrogen abundances are expressed respectively in peak area (normalized) and ICA H scores.",mds,True,findable,0,0,0,0,0,2022-08-22T16:01:22.000Z,2022-08-22T16:01:22.000Z,cern.zenodo,cern,"Mars,ChemCam,Laser-Induced Breakdown Spectroscopy,Soils","[{'subject': 'Mars'}, {'subject': 'ChemCam'}, {'subject': 'Laser-Induced Breakdown Spectroscopy'}, {'subject': 'Soils'}]",,
-10.26302/sshade/experiment_lb_20231006_001,"Vis-NIR reflectance spectra (i = 0Â°, e = 30Â°) of three raw chips of the Orgueil CI chondrite under ambient conditions",SSHADE/GhoSST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra (i = 0Â°, e = 30Â°) of 3 different raw chips of the Orgueil CI chondrite (having being stored in distinct conditions) under ambient conditions",mds,True,findable,0,0,0,0,0,2023-10-09T08:18:32.000Z,2023-10-09T08:18:33.000Z,inist.sshade,mgeg,"laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor,bulk Orgueil,extraterrestrial,complex organic-mineral mix,carbonaceous chondrite,CI","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'bulk Orgueil', 'subjectScheme': 'name'}, {'subject': 'extraterrestrial', 'subjectScheme': 'family'}, {'subject': 'complex organic-mineral mix', 'subjectScheme': 'compound type'}, {'subject': 'carbonaceous chondrite', 'subjectScheme': 'meteorite group'}, {'subject': 'CI', 'subjectScheme': 'meteorite class'}]",['4 spectra'],['ASCII']
-10.5281/zenodo.3826146,A glimpse into rapid closed-system freezing processes in remoulded clay: dataset,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",This is the data set,mds,True,findable,0,0,0,0,0,2020-09-21T12:52:55.000Z,2020-09-21T12:52:56.000Z,cern.zenodo,cern,tomography,[{'subject': 'tomography'}],,
-10.26302/sshade/experiment_lb_20191211_003,Fe K edge XAS transmission of bulk CR carbonaceous chondrites,SSHADE/GhoSST+FAME (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",raw and normalized Fe K edge XAS transmission of bulk CR carbonaceous chondrites,mds,True,findable,0,0,0,0,0,2019-12-13T13:05:04.000Z,2019-12-13T13:05:05.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,extraterrestrial,carbonaceous chondrite,CR,complex organic-mineral mix,matrix EET92159,complex mineral mix,chondrules EET92159,CAIs EET92159,matrix GRA06100 IPAG,chondrules GRA06100 IPAG,CAIs GRA06100 IPAG,matrix GRO03116 IPAG,chondrules GRO03116 IPAG,CAIs GRO03116 IPAG,matrix GRO95577 IPAG,chondrules GRO95577 IPAG,CAIs GRO95577 IPAG,matrix LAP04516,chondrules LAP04516,CAIs LAP04516,matrix MET00426,chondrules MET00426,CAIs MET00426,matrix EET92042,chondrules EET92042,CAIs EET92042,matrix GRA95229,chondrules GRA95229,CAIs GRA95229,matrix RENAZZO,chondrules RENAZZO,CAIs RENAZZO,laboratory measurement,transmission,None,hard X,raw,normalized absorbance","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CR'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix EET92159'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules EET92159'}, {'subject': 'CAIs EET92159'}, {'subject': 'matrix GRA06100 IPAG'}, {'subject': 'chondrules GRA06100 IPAG'}, {'subject': 'CAIs GRA06100 IPAG'}, {'subject': 'matrix GRO03116 IPAG'}, {'subject': 'chondrules GRO03116 IPAG'}, {'subject': 'CAIs GRO03116 IPAG'}, {'subject': 'matrix GRO95577 IPAG'}, {'subject': 'chondrules GRO95577 IPAG'}, {'subject': 'CAIs GRO95577 IPAG'}, {'subject': 'matrix LAP04516'}, {'subject': 'chondrules LAP04516'}, {'subject': 'CAIs LAP04516'}, {'subject': 'matrix MET00426'}, {'subject': 'chondrules MET00426'}, {'subject': 'CAIs MET00426'}, {'subject': 'matrix EET92042'}, {'subject': 'chondrules EET92042'}, {'subject': 'CAIs EET92042'}, {'subject': 'matrix GRA95229'}, {'subject': 'chondrules GRA95229'}, {'subject': 'CAIs GRA95229'}, {'subject': 'matrix RENAZZO'}, {'subject': 'chondrules RENAZZO'}, {'subject': 'CAIs RENAZZO'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'raw'}, {'subject': 'normalized absorbance'}]",['18 spectra'],['ASCII']
-10.5281/zenodo.8314927,"Simulations and scripts for ""Glacier surges controlled by the close interplay between subglacial friction and drainage"".",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the model and scripts to reproduce the results presented in ""Glacier surges controlled by the close interplay between subglacial friction and drainage"" and submitted to the Journal of Geophysical Research - Earth Surface. It provides the running model files associated with each result figure of the manuscript as well as the Python script to generate them from the simulation output. The model is also described and updated at: https://github.com/kjetilthogersen/pyGlacier.",mds,True,findable,0,0,0,0,0,2023-09-04T10:53:19.000Z,2023-09-04T10:53:20.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_dt_20180117_008,Pt L3 edge XAS transmission of Pt metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T07:54:41.000Z,2019-11-16T07:54:41.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Pt,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Pt'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.4286111,"Sliding velocity, water discharge and basal shear stress time series at ArgentiÃ¨re Glacier",Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The data set contains all data presented in: Gimbert, F., Gilbert, A., Gagliardini, O., Vincent, C., &amp; Moreau, L. (2021). Do Existing Theories Explain Seasonal to Multi-Decadal Changes in Glacier Basal Sliding Speed? <em>Geophysical Research Letters</em>, <em>48</em>(15), e2021GL092858. https://doi.org/10.1029/2021GL092858 and also in: Gilbert, A., Gimbert, F., ThÃ¸gersen, K., Schuler, T. V., &amp; KÃ¤Ã¤b, A. (2022). A Consistent Framework for Coupling Basal Friction with Subglacial Hydrology on Hard-bedded Glaciers. <em>Geophysical Research Letters</em>, <em>49</em>, e2021GL097507. https://doi.org/10.1029/2021GL097507 Files Description: ==================================<br> SlidingVelocities1989_2019.csv :<br> ================================== Contains daily values of recorded sliding velocities at the wheel. Column 1 = Date<br> Column 2 = Daily Values (cm/day) ================================<br> BasalShearStress1980_2019.csv :<br> ================================ Contains daily values of inferred basal shear stress at the wheel. Column 1 = Date<br> Column 2 = Daily Values (MPa) ================================<br> WaterDischarge1985_2019.csv :<br> ================================ Contains daily values of recorded water discharge at the glacier outlet Column 1 = Date<br> Column 2 = Daily Values (m3/s)",mds,True,findable,0,0,0,0,0,2020-11-23T11:05:16.000Z,2020-11-23T11:05:16.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5289201,"Veillon et al. (2020), Geoscientific Model Development : data and development",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","F.Veillon, M.Dumont, C.Amory, M.Fructus : A versatile method for computing optimized snow albedo from spectrally fixed radiative variables : VALHALLA v1.0, Geoscientific Model Development, in review, 2020. See README for a full description of the dataset content Please contact me at marie.dumont@meteo.fr if you need more details on the dataset",mds,True,findable,0,0,0,0,0,2021-08-27T12:25:31.000Z,2021-08-27T12:25:31.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3725624,Melting curve and phase relations of Fe-Ni alloys at high pressure and high temperature: implications for the Earth core composition,Zenodo,2020,,Dataset,"Academic Free License v3.0,Open Access",X-ray absorption data supporting results of the manuscript: Melting curve and phase relations of Fe-Ni alloys at high pressure and high temperature: implications for the Earth core composition submitted to Geophysical Research Letters,mds,True,findable,0,0,0,1,0,2020-03-24T11:18:04.000Z,2020-03-24T11:18:05.000Z,cern.zenodo,cern,,,,
-10.17178/amma-catch.all,"AMMA-CATCH: a hydrological, meteorological and ecological observatory on West Africa","IRD, CNRS-INSU, OSUG, OMP, OREME",1990,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","AMMA-CATCH is an observation service (SO) dedicated to long-term monitoring of climatological, hydrological and ecological changes in West Africa. For this purpose, it gathers data from three densely instrumented sites in Mali, Senegal, Niger and Benin. These three sites cover areas ranging between 10000 and 25000 kmÂ² and are located at different latitudes so as to sample the characteristic eco-climatic gradients of the region, ranging from semi arid to sudanian climate. Simultaneous monitoring of the vegetation cover, the phenology and the various terms of the water balance (rainfall, infiltration, groundwater recharge, surface runoff) at the three sites provides insight into the interactions between the water cycle, vegetation dynamics and climate variability at intraseasonal and interannual scales over this region that is highly vulnerable to the impacts of climate change. AMMA-CATCH observations feed three scientific axes : long term evolution at regional scale, study of processes and application to socio-economic demand.",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:53.000Z,2018-03-16T15:36:53.000Z,inist.osug,jbru,"Tropical climate,Sahelian/Saharan climate,Sahelian climate,Sudanian climate,Precipitation,Surface water,Meteo,Flux,Radiation,Vegetation,Ground water,Soils,Water quality / Water chemistry","[{'subject': 'Tropical climate', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Surface water', 'subjectScheme': 'var'}, {'subject': 'Meteo', 'subjectScheme': 'var'}, {'subject': 'Flux', 'subjectScheme': 'var'}, {'subject': 'Radiation', 'subjectScheme': 'var'}, {'subject': 'Vegetation', 'subjectScheme': 'var'}, {'subject': 'Ground water', 'subjectScheme': 'var'}, {'subject': 'Soils', 'subjectScheme': 'var'}, {'subject': 'Water quality / Water chemistry', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.6886498,Dynamic full-field imaging of rupture radiation: Material contrast governs source mechanism,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Datasets related to the research article 'Dynamic full-field imaging of rupture radiation: Material contrast governs source mechanism'. <br> A readme with the necessary Matlab code to load the data is included.<br> Tested on Matlab2020b For the analytic rupture radiation simulation code please check the linked github repository.,mds,True,findable,0,0,1,3,0,2022-09-19T12:40:22.000Z,2022-09-19T12:40:22.000Z,cern.zenodo,cern,"laboratory earthquake, rupture nucleation, supershear, bi-material contrast, near-field seismology, ultrafast ultrasound, shear wave imaging","[{'subject': 'laboratory earthquake, rupture nucleation, supershear, bi-material contrast, near-field seismology, ultrafast ultrasound, shear wave imaging'}]",,
-10.6084/m9.figshare.23575378,Additional file 7 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authorsâ€™ original file for figure 6,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:55.000Z,2023-06-25T03:11:56.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['26112 Bytes'],
-10.26302/sshade/experiment_cf_20200813_000,VIS-NIR reflectance spectra of binary mixtures of silicon dioxide (SiO2) particles (0.5 - 10 Âµm) and Juniper charcoal particles (less than 50 Âµm),SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2023-12-07T08:37:17.000Z,2023-12-07T08:37:18.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,Quartz polymorphs,Werth-Metall Juniper Charcoal,mineral,solid,commercial,tektosilicate,organic molecular solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Quartz polymorphs', 'subjectScheme': 'name'}, {'subject': 'Werth-Metall Juniper Charcoal', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}]",['11 spectra'],['ASCII']
-10.15778/resif.yt2001,2001 WEST KUNLUN Broadband and short period temporary experiment (RESIF - SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2001,en,Other,"Open Access,Creative Commons Attribution 4.0 International",WEST KUNLUN Broadband and short period temporary experiment (RESIF - SISMOB),mds,True,findable,0,0,0,1,0,2018-04-27T07:17:42.000Z,2018-04-27T07:17:42.000Z,inist.resif,vcob,"Seismology,Tibet,China,Kunlun","[{'subject': 'Seismology'}, {'subject': 'Tibet'}, {'subject': 'China'}, {'subject': 'Kunlun'}]",['37 Gb;50 stations'],['SEED data']
-10.17178/amma-catch.ce.run_nct,"Surface water dataset (river discharge), within the Tondikiboro and Mele Haoussa watersheds (&lt; 35 ha), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2004,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Document the flood events in various geological context : sedimentary (Tondikiboro) and cristaline bedrock (Mele Haoussa), and for cultivated and natural vegetation covers.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:00.000Z,2018-03-16T15:37:00.000Z,inist.osug,jbru,"Discharge, erosion, turbidity, Niger,Sahelian climate,Discharge/Flow","[{'subject': 'Discharge, erosion, turbidity, Niger', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.5576201,PARASO source code (no COSMO),Zenodo,2021,,Software,"Creative Commons Attribution 4.0 International,Open Access","Source code for the PARASO Antarctic configuration, <strong>except the COSMO model </strong>(atmosphere), which is only accessible to CLM-Community members (not to be mistaken with the CLM model included in PARASO). A full version of these sources, including the COSMO part, has been uploaded to the CLM-Community RedC. Hence, these sources are provided for the sake of transparency, not for running the full model (which requires COSMO). <strong>Model description</strong>: Pelletier, C., Fichefet, T., Goosse, H., Haubner, K., Helsen, S., Huot, P.-V., Kittel, C., Klein, F., Le clec'h, S., van Lipzig, N. P. M., Marchi, S., Massonnet, F., Mathiot, P., Moravveji, E., Moreno-Chamarro, E., Ortega, P., Pattyn, F., Souverijns, N., Van Achter, G., Vanden Broucke, S., Vanhulle, A., Verfaillie, D., and Zipf, L.: PARASO, a circum-Antarctic fully coupled ice-sheetâ€“oceanâ€“sea-iceâ€“atmosphereâ€“land model involving f.ETISh1.7, NEMO3.6, LIM3.6, COSMO5.0 and CLM4.5, Geosci. Model Dev., 15, 553â€“594, 10.5194/gmd-15-553-2022, 2022. <strong>Input data</strong>: Pelletier, Charles, Klein, FranÃ§ois, Zipf, Lars, Vanden Broucke, Sam, Haubner, Konstanze, &amp; Helsen, Samuel. (2021). Input data for PARASO, a circum-Antarctic fully-coupled 5-component model (v1.4.3) [Data set]. Zenodo. 10.5281/zenodo.5588468 <strong>Forcings</strong>: Pelletier, Charles, &amp; Helsen, Samuel. (2021). PARASO ERA5 forcings (1.4.3) [Data set]. Zenodo. 10.5281/zenodo.5590053 <strong>References</strong> <strong>f.ETISh</strong> (ice sheet): Pattyn, F.: Sea-level response to melting of Antarctic ice shelves on multi-centennial timescales with the fast Elementary Thermomechanical Ice Sheet model (f.ETISh v1.0), The Cryosphere, 11, 1851â€“1878, 10.5194/tc-11-1851-2017, 2017. <strong>NEMO </strong>(ocean): Madec Gurvan, Romain BourdallÃ©-Badie, Pierre-Antoine Bouttier, ClÃ©ment Bricaud, Diego Bruciaferri, Daley Calvert, JÃ©rÃ´me Chanut, Emanuela Clementi, Andrew Coward, Damiano Delrosso, Christian EthÃ©, Simona Flavoni, Tim Graham, James Harle, Doroteaciro Iovino, Dan Lea, Claire LÃ©vy, Tomas Lovato, Nicolas Martin, â€¦ Martin Vancoppenolle. (2017). NEMO ocean engine. In Notes du PÃ´le de modÃ©lisation de l'Institut Pierre-Simon Laplace (IPSL) (v3.6-patch, Number 27). Zenodo. 10.5281/zenodo.3248739 <strong>LIM</strong> (sea ice): Rousset, C., Vancoppenolle, M., Madec, G., Fichefet, T., Flavoni, S., BarthÃ©lemy, A., Benshila, R., Chanut, J., Levy, C., Masson, S., and Vivier, F.: The Louvain-La-Neuve sea ice model LIM3.6: global and regional capabilities, Geosci. Model Dev., 8, 2991â€“3005, 10.5194/gmd-8-2991-2015, 2015. <strong>COSMO </strong>(atmosphere): Doms, G., FÃ¶rstner, J., Heise, E., Herzog, H. J., Mironov, D., Raschendorfer, M., ... &amp; Vogel, G. (2011). A description of the nonhydrostatic regional COSMO model, Part II: Physical Parameterization. Deutscher Wetterdienst, Offenbach, Germany. 10.5676/dwd_pub/nwv/cosmo-doc_5.00_II <strong>CLM </strong>(land): Oleson, K.W., D.M. Lawrence, G.B. Bonan, B. Drewniak, M. Huang, C.D. Koven, S. Levis, F. Li, W.J. Riley, Z.M. Subin, S.C. Swenson, P.E. Thornton, A. Bozbiyik, R. Fisher, E. Kluzek, J.-F. Lamarque, P.J. Lawrence, L.R. Leung, W. Lipscomb, S. Muszala, D.M. Ricciuto, W. Sacks, Y. Sun, J. Tang, Z.-L. Yang, 2013: Technical Description of version 4.5 of the Community Land Model (CLM). Ncar Technical Note NCAR/TN-503+STR, National Center for Atmospheric Research, Boulder, CO, 422 pp, 10.5065/D6RR1W7M.",mds,True,findable,0,0,10,6,0,2021-10-27T10:12:34.000Z,2021-10-27T10:12:35.000Z,cern.zenodo,cern,,,,
-10.7280/d1z69g,"Data for: Seasonal acceleration of Petermann Glacier, Greenland, from changes in subglacial hydrology",Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Petermann Glacier, a major outlet glacier of Northern Greenland, drains a marine-based basin vulnerable to destabilization. Using satellite radar interferometry data from the Sentinel-1a/b missions, we observe a seasonal glacier acceleration of 15% in the summer, from 1,250 m/yr to 1,500 m/yr near the grounding line, but the physical drivers of this seasonality have not been elucidated. Here, we use a subglacial hydrology model coupled one-way to an ice sheet model to evaluate the role of subglacial hydrology as a physical mechanism explaining the seasonality in speed. We model the basal effective pressure using the Glacier Drainage System model which then forces the Ice-sheet and Sea-level System Model. We find an excellent agreement between the observed and modeled velocity in terms of magnitude and timing, and conclude that seasonal changes in subglacial hydrology are sufficient to explain the observed seasonal speed up of Petermann Glacier. This data publication provides all of the scripts and data necessary to initialize and run the subglacial hydrology model and ice sheet model used in this work (Manuscript number 2022GL098009). We also provide the model output and the scripts used to create the figures in the manuscript and the animations in the supplemental document. Several data sets are also made available here, including integrated melt water runoff derived from the regional climate model, MAR (ModÃ¨le AtmosphÃ©rique RÃ©gional), which is used to force the hydrology model, and daily average effective pressure derived from the hydrology model output, which is used to force the ice sheet model. These files combined are sufficient to reproduce all results and figures presented in this work.",mds,True,findable,154,16,0,0,0,2022-12-21T07:21:16.000Z,2022-12-21T07:21:17.000Z,dryad.dryad,dryad,"FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences","[{'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['4043367766 bytes'],
-10.25384/sage.c.6377642.v1,Validation of a screening algorithm for hepatic fibrosis by Doppler ultrasound and elastography in a general population,SAGE Journals,2023,,Collection,Creative Commons Attribution 4.0 International,"BackgroundEarly detection can prevent the initial stages of fibrosis from progressing to cirrhosis.PurposeTo evaluate an algorithm combining three echographic indicators and elastographic measurements to screen for hepatic fibrosis in an unselected population.Material and MethodsFrom May 2017 to June 2018, all patients with no history and no known chronic liver disease who were referred for an ultrasound (US) were prospectively included in eight hospitals. The indicators being sought were liver surface irregularity, demodulation of hepatic veins, and spleen length &gt;110 mm. Patients presenting at least one of these underwent elastography measurements with virtual touch quantification (VTQ) or supersonic shear imaging (SSI). If elastography was positive, patients were referred to hepatologist for fibrosis evaluation. Reference standard was obtained by FibroMeter<sup>VCTE</sup> or biopsy. A FibroMeter<sup>VCTE</sup> result &gt;0.384 indicated a â€œnecessary referralâ€ to a hepatologist.ResultsOf the 1501 patients included, 504 (33.6%) were positive for at least one US indicator. All of them underwent US elastography, with 85 being positive. Of the patients, 58 (3.6%) had a consultation with a liver specialist: 21 had positive FibroMeter<sup>VCTE</sup> and nine had an indication of biopsy for suspicion of fibrosis. This screening algorithm made it possible to diagnose 1.6% of patients in our population with unknown fibrosis. Of the patients, 50% referred to the liver specialist were â€œnecessary referrals.â€ConclusionOur study suggests that three simple US indicators with no systematic elastographic measurement could be applied in day-to-day practice to look for hepatic fibrosis in an unsuspected population allowing relevant referrals to a hepatologist.",mds,True,findable,0,0,0,0,0,2023-01-10T01:14:28.000Z,2023-01-10T01:14:28.000Z,figshare.sage,sage,"110320 Radiology and Organ Imaging,FOS: Clinical medicine","[{'subject': '110320 Radiology and Organ Imaging', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.26302/sshade/experiment_gs_20161207_001,Ag K edge XAS transmission of Ag metallic foil reference at 10K,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T08:17:38.000Z,2019-11-16T08:17:39.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Ag,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Ag'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.8083133,"MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall",Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Dataset overview</strong> This dataset provides data and images of snowflakes in free fall collected with a Multi-Angle Snowflake Camera (MASC) The dataset includes, for each recorded snowflakes: A triplet of gray-scale images corresponding to the three cameras of the MASC A large quantity of geometrical, textural descriptors and the pre-compiled output of published retrieval algorithms as well as basic environmental information at the location and time of each measurement. The pre-computed descriptors and retrievals are available either individually for each camera view or, some of them, available as descriptors of the triplet as a whole. A non exhaustive list of precomputed quantities includes for example: Textural and geometrical descriptors as in <em>Praz et al 2017</em> Hydrometeor classification, riming degree estimation, melting identification, as in <em>Praz et al 2017</em> Blowing snow identification, as in <em>Schaer et al 2020 </em> Mass, volume, gyration estimation<em>, as in Leinonen et al 2021</em> <strong>Data format and structure</strong> The dataset is divided into four <em>.parquet</em> file (for scalar descriptors) and a <em>Zarr</em> database (for the images). A detailed description of the data content and of the data records is available here. <strong>Supporting code</strong> A python-based API is available to manipulate, display and organize the data of our dataset. It can be found on GitHub. See also the code documentation on ReadTheDocs. <strong>Download notes</strong> All files available here for download should be stored in the same folder, if the python-based API is used <em>MASCdb.zarr.zip</em> must be unzipped after download <strong>Field campaigns</strong> A list of campaigns included in the dataset, with a minimal description is given in the following table <strong>Campaign_name</strong> <strong>Information</strong> <strong>Shielded / Not shielded</strong> <em>DFIR = Double Fence Intercomparison Reference</em> <em>APRES3-2016 &amp; APRES3-2017</em> Installed in Antarctica in the context of the APRES3 project. See for example Genthon et al, 2018 or Grazioli et al 2017 Not shielded <em>Davos-2015</em> Installed in the Swiss Alps within the context of SPICE (Solid Precipitation InterComparison Experiment) Shielded (DFIR) <em>Davos-2019</em> Installed in the Swiss Alps within the context of RACLETS (<em>Role of Aerosols and CLouds Enhanced by Topography on Snow</em>) Not shielded <em>ICEGENESIS-2021</em> Installed in the Swiss Jura in a MeteoSwiss ground measurement site, within the context of ICE-GENESIS. See for example Billault-Roux et al, 2023 Not shielded <em>ICEPOP-2018</em> Installed in Korea, in the context of ICEPOP. See for example Gehring et al 2021. Shielded (DFIR) <em>Jura-2019 &amp; Jura-2023</em> Installed in the Swiss Jura within a MeteoSwiss measurement site Not shielded <em>Norway-2016</em> Installed in Norway during the High-Latitude Measurement of Snowfall (HiLaMS). See for example Cooper et al, 2022. Not shielded <em>PLATO-2019</em> Installed in the ""Davis"" Antarctic base during the PLATO field campaign Not shielded <em>POPE-2020</em> Installed in the ""Princess Elizabeth Antarctica"" base during the POPE campaign. See for example Ferrone et al, 2023. Not shielded <em>Remoray-2022</em> Installed in the French Jura. Not shielded <em>Valais-2016</em> Installed in the Swiss Alps in a ski resort. Not shielded ISLAS-2022 Installed in Norway during the ISLAS campaign Not shielded Norway-2023 Installed in Norway during the MC2-ICEPACKS campaign Not shielded <strong>Version</strong> 1.1 - Two new campaigns (""ISLAS-2022"", ""Norway-2023"") added. 1.0 - Two new campaigns (""Jura-2023"", ""Norway-2016"") added. Added references and list of campaigns. 0.3 - a new campaign is added to the dataset (""Remoray-2022"") 0.2 - rename of variables. Variable precision (digits) standardized 0.1 - first upload",mds,True,findable,0,0,6,0,0,2023-07-05T09:42:40.000Z,2023-07-05T09:42:41.000Z,cern.zenodo,cern,"Snowfall,ice crystals,snow images,snowflakes,multi angle snowflake camera (MASC),image classification,meteorology","[{'subject': 'Snowfall'}, {'subject': 'ice crystals'}, {'subject': 'snow images'}, {'subject': 'snowflakes'}, {'subject': 'multi angle snowflake camera (MASC)'}, {'subject': 'image classification'}, {'subject': 'meteorology'}]",,
-10.5281/zenodo.7866962,"Time-of-failure prediction of the Achoma landslide, Peru, from high frequency Planetscope satellites",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Introduction</strong> This repository contains the data used for the study of the slope instability of Achoma, Peru, described in Lacroix et al. (submitted). Specifically, the repository contains a time series of horizontal ground displacements, obtained from high frequency PlanetScope satellite between 2017 and 2020. It also contains two Digital Elevation Models, one from before the Achoma failure obtained with PlÃ©aides stero images, and the other from just after the Achoma failure obtained with drone imagery. The data and methods used for the elaboration of this data repository are described in detail in Lacroix et al. (submitted). In this repository we also provide a short summary and overview of the data and methods used. <strong>Data</strong> A total of 79 PlanetScope scenes were used to produce the time series of horizontal horizontal ground displacements maps. Table 1 provides an overview of these data. Table1: Data used for the creation of this repository Application Platforms Acquisition dates Pre-failure DEM PlÃ©iades 2017/05/13 Post-failure DEM Drone 2020/06/19 Horizontal ground displacement PlanetScope 79 scenes from 2017/11/27 to 2020/06/17 <br> <strong>Methods</strong> The horizontal ground displacement maps, both along the NS and the EW directions (file names NSxxxxxxxx.tif and Ewxxxxxxxx.tif, where xxxxxxxx is the date in the format yyyymmdd) were created using the offset tracking methodology described in Bontemps et al. (2018), consisting of: (1) correlation of all the pairs of images using Mic-Mac (Rupnik et al., 2017), (2) masking the low correlation coefficient values (CC&lt;0.7), (3) mosaicking correction, similar to stripe corrections (Bontemps et al., 2018), that we obtained by subtracting the median value of the stacked profile in the along-stripe direction, taking into account only stable areas, (4) least square inversion of the redundant system per pixel, weighted by the time separation between pairs (Bontemps et al., 2018), (5) correction of illumination effects (Lacroix et al., 2019), based on the 2 years of data between November 2017 and December 2019. The pre-failure DEM was computed from Ames Stereo Pipeline (Shean et al. 2016) and the methodology developed in (Lacroix, 2016) applied to the PlÃ©iades stereo images (file name DEM_20170513_shifted_vertical2.tif ). The post-failure DEM was processed using the Structure from Motion-Multi View Stereo (SfM-MVS) methodology with the Agisoft Metashape Professional 1.5.5 software applied on 1824 pictures taken from the drone (file name Achoma_DEM_2020.06.20_UTM19S_50cm.tif ).<br> <strong>Acknowledgements</strong> P.L. acknowledge the support from the French Space Agency (CNES) through the TOSCA, PNTS, and ISIS programs. <strong>Dataset attribution</strong> This dataset is licensed under a Creative Commons CC BY 4.0 International License. <strong>Dataset Citation</strong> Lacroix, P., Huanca, J., Angel, L., Taipe, E.: Data Repository: Time-of-failure prediction of the Achoma landslide, Peru, from high frequency Planetscope satellites. Dataset distributed on Zenodo: 10.5281/zenodo.7866962",mds,True,findable,0,0,0,0,0,2023-04-26T13:03:38.000Z,2023-04-26T13:03:38.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4442416,An Agent-Based Model to Predict Pedestrians Trajectories with an Autonomous Vehicle in Shared Spaces: Video Results,Zenodo,2021,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","A video illustrating the results presented in the paper: <em>""PrÃ©dhumeau M., Mancheva L., Dugdale J., and Spalanzani A. 2021. An Agent-Based Model to Predict Pedestrians Trajectories with an Autonomous Vehicle in Shared Spaces. In the Proc. of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021). IFAAMAS, Online.""</em>",mds,True,findable,0,0,0,0,0,2021-01-15T12:04:42.000Z,2021-01-15T12:04:42.000Z,cern.zenodo,cern,"Vehicle-Pedestrian Interaction,Trajectory Prediction,Multi-Agent Simulation,Human behavior,Social Force Model","[{'subject': 'Vehicle-Pedestrian Interaction'}, {'subject': 'Trajectory Prediction'}, {'subject': 'Multi-Agent Simulation'}, {'subject': 'Human behavior'}, {'subject': 'Social Force Model'}]",,
-10.5281/zenodo.4562706,Investigating the young AU Mic system with SPIRou: stellar magnetic field and close-in planet mass,Zenodo,2021,en,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","Measuring the mean densities of close-in planets orbiting pre-main-sequence (PMS) stars is crucially needed by planet formation and evolution models. However, PMS stars exhibit intense magnetic activity inducing fluctuations in both photometric and RV curves that overshadow planet signatures. As a result, no close-in planet younger than 25 Myr has a well-constrained bulk density. In this study, we present a spectropolarimetric and velocimetric analysis of 27 near-infrared observations of the nearby active 22 Myr-old red dwarf AU Microscopii collected with SPIRou at the end of the year 2019. We jointly model the planet and stellar activity RV components, resulting in a 3.9ÏƒÏƒ-detection of the recently-discovered close-in Neptune-sized planet AU Mic b, with an estimated mass of 17.1+4.7âˆ’4.5âˆ’4.5+4.7 MâŠ•âŠ•, implying a Neptune-like density for the planet. A consistent detection of the planet is independently obtained by simultaneously reconstructing the surface distribution of bright and dark inhomogeneities and estimating the planet parameters using Doppler imaging (DI). Using Zeeman-Doppler Imaging, we invert our time-series of intensity and circularly-polarized line profiles into distributions of brightness and large-scale magnetic field at the surface of the star and explore how these distributions are sheared by latitudinal differential rotation. Finally, we investigate the magnetic activity of AU Mic by computing various indicators and found that the disk-integrated magnetic flux density correlates best with the stellar activity RV signal, in line with recent solar observations.",mds,True,findable,0,0,0,0,0,2021-02-25T23:17:55.000Z,2021-02-25T23:17:56.000Z,cern.zenodo,cern,Young stars,[{'subject': 'Young stars'}],,
-10.5281/zenodo.3610615,robertxa/Mapas_Cavernas_Peru: Peruvian Cave Survey database,Zenodo,2020,,Software,Open Access,This repository contains survey's data from Peruvian caves.,mds,True,findable,0,0,0,0,0,2020-01-16T21:12:09.000Z,2020-01-16T21:12:10.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_dt_20180117_006,Ti K edge XAS transmission of Ti metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T07:53:18.000Z,2019-11-16T07:53:18.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Ti,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Ti'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5061/dryad.1sf007b,Data from: Species Selection Regime and Phylogenetic Tree Shape,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Species selection, the effect of heritable traits in generating between-lineage diversification rate differences, provides a valuable conceptual framework for understanding the relationship between traits, diversification and phylogenetic tree shape. An important challenge, however, is that the nature of real diversification landscapes â€“ curves or surfaces which describe the propensity of species-level lineages to diversify as a function of one or more traits â€“ remains poorly understood. Here we present a novel, time-stratified extension of the QuaSSE model in which speciation/extinction rate is specified as a static or temporally-shifting Gaussian or skewed-Gaussian function of the diversification trait. We then use simulations to show that the generally imbalanced nature of real phylogenetic trees, as well as their generally greater-than-expected frequency of deep branching events, are typical outcomes when diversification is treated as a dynamic, trait-dependent process. Focusing on four basic models (Gaussian-speciation with and without background extinction; skewed-speciation; Gaussian-extinction), we also show that particular features of the species selection regime produce distinct tree shape signatures and that, consequently, a combination of tree shape metrics has the potential to reveal the species selection regime under which a particular lineage diversified. We evaluate this idea empirically by comparing the phylogenetic trees of plant lineages diversifying within climatically- and geologically-stable environments of the Greater Cape Floristic Region, with those of lineages diversifying in environments that have experienced major change through the Late Miocene-Pliocene. Consistent with our expectations, the trees of lineages diversifying in a dynamic context are less balanced, show a greater concentration of branching events close to the present, and display stronger diversification rate-trait correlations. We suggest that species selection plays an important role in shaping phylogenetic trees but recognize the need for an explicit probabilistic framework within which to assess the likelihoods of alternative diversification scenarios as explanations of a particular tree shape.",mds,True,findable,166,29,0,1,0,2019-11-26T16:06:13.000Z,2019-11-26T16:06:14.000Z,dryad.dryad,dryad,"Cape flora,enviromental change,gamma statistic,species selection,tree imbalance,time-stratified QuaSSE model,trait-dependent diversification,diversification landscape","[{'subject': 'Cape flora'}, {'subject': 'enviromental change'}, {'subject': 'gamma statistic'}, {'subject': 'species selection'}, {'subject': 'tree imbalance'}, {'subject': 'time-stratified QuaSSE model'}, {'subject': 'trait-dependent diversification'}, {'subject': 'diversification landscape'}]",['40229140 bytes'],
-10.7280/d1595v,Annual Ice Velocity of the Greenland Ice Sheet (2001-2010),Dryad,2019,en,Dataset,Creative Commons Attribution 4.0 International,"We derive surface ice velocity using data from 16 satellite sensors deployed by 6 different space agencies. The list of sensors and the year that they were used are listed in the following (Table S1). The SAR data are processed from raw to single look complex using the GAMMA processor (www.gamma-rs.ch). All measurements rely on consecutive images where the ice displacement is estimated from tracking or interferometry (Joughin et al. 1998, Michel and Rignot 1999, Mouginot et al. 2012). Surface ice motion is detected using a speckle tracking algorithm for SAR instruments and feature tracking for Landsat. The cross-correlation program for both SAR and optical images is ampcor from the JPL/Caltech repeat orbit interferometry package (ROI_PAC). We assembled a composite ice velocity mosaic at 150 m posting using our entire speed database as described in Mouginot et al. 2017 (Fig. 1A). The ice velocity maps are also mosaicked in annual maps at 150 m posting, covering July, 1st to June, 30th of the following year, i.e. centered on January, 1st (12) because a majority of historic data were acquired in winter season, hence spanning two calendar years. We use Landsat-1&amp;2/MSS images between 1972 and 1976 and combine image pairs up to 1 year apart to measure the displacement of surface features between images as described in Dehecq et al., 2015 or Mouginot et al. 2017. We use the 1978 2-m orthorectified aerial images to correct the geolocation of Landsat-1 and -2 images (Korsgaard et al., 2016). Between 1984 and 1991, we processed Landsat-4&amp;5/TM image pairs acquired up to 1-year apart. Only few Landsat-4 and -5 images (~3%) needed geocoding refinement using the same 1978 reference as used previously. Between 1991 and 1998, we process radar images from the European ERS-1/2, with a repeat cycle varying from 3 to 36 days depending on the mission phase. Between 1999 and 2013, we use Landsat-7, ASTER, RADARSAT-1/2, ALOS/PALSAR, ENVISAT/ASAR to determine surface velocity (Joughin et al., 2010; Howat, I. 2017; Rignot &amp; Mouginot, 2012). After 2013, we use Landsat-8, Sentinel-1a/b and RADARSAT-2 (Mouginot et al., 2017). All synthetic aperture radar (SAR) datasets are processed assuming surface parallel flow using the digital elevation model (DEM) from the Greenland Mapping Project (GIMP; Howat et al., 2014) and calibrated as described in Mouginot et al., 2012, 2017. Data were provided by the European Space Agency (ESA) the EU Copernicus program (through ESA), the Canadian Space Agency (CSA), the Japan Aerospace Exploration Agency (JAXA), the Agenzia Spaziale Italiana (ASI), the Deutsches Zentrum fuÌˆr Luft- und Raumfahrt e.V. (DLR) and the National Aeronautics and Space Administration (NASA). SAR data acquisition were coordinated by the Polar Space Task Group (PSTG). References: Dehecq, A, Gourmelen, N, Trouve, E (2015). Deriving large-scale glacier velocities from a complete satellite archive: Application to the Pamir-Karakoram-Himalaya. Remote Sensing of Environment, 162, 55â€“66. Howat IM, Negrete A, Smith BE (2014) The greenland ice mapping project (gimp) land classification and surface elevation data sets. The Cryosphere 8(4):1509â€“1518. Howat, I (2017). MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from Optical Images, Version 2. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. Joughin, I., B. Smith, I. Howat, T. Scambos, and T. Moon. (2010). Greenland Flow Variability from Ice-Sheet-Wide Velocity Mapping, J. of Glac.. 56. 415-430. Joughin IR, Kwok R, Fahnestock MA (1998) Interferometric estimation of three dimensional ice-flow using ascending and descending passes. IEEE Trans. Geosci. Remote Sens. 36(1):25â€“37. Joughin, I, Smith S, Howat I, and Scambos T (2015). MEaSUREs Greenland Ice Sheet Velocity Map from InSAR Data, Version 2. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. Michel R, Rignot E (1999) Flow of Glaciar Moreno, Argentina, from repeat-pass Shuttle Imaging Radar images: comparison of the phase correlation method with radar interferometry. J. Glaciol. 45(149):93â€“100. Mouginot J, Scheuchl B, Rignot E (2012) Mapping of ice motion in Antarctica using synthetic-aperture radar data. Remote Sens. 4(12):2753â€“2767. Mouginot J, Rignot E, Scheuchl B, Millan R (2017) Comprehensive annual ice sheet velocity mapping using landsat-8, sentinel-1, and radarsat-2 data. Remote Sensing 9(4). Rignot E, Mouginot J (2012) Ice flow in Greenland for the International Polar Year 2008-2009. Geophys. Res. Lett. 39, L11501:1â€“7.",mds,True,findable,783,130,1,1,0,2019-03-29T10:37:23.000Z,2019-03-29T10:37:25.000Z,dryad.dryad,dryad,,,['7193679240 bytes'],
-10.5061/dryad.n8v4m,Data from: Functional trait differences and trait plasticity mediate biotic resistance to potential plant invaders,Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"1. Biotic resistance represents an important natural barrier to potential invaders throughout the world, yet the underlying mechanisms that drive such resistance are still debated. In theory, native communities should repel both functionally similar invaders which compete for the same resources, and invaders which possess less competitive traits. However, environmental stress, trade-offs across vital rates and competition-induced plastic trait shifts may modify expected competitive outcomes, thereby influencing invasion dynamics. 2. In order to test these theoretical links between trait distributions and biotic resistance, we performed a mesocosm experiment with 25 non-native ornamental species invading native plant communities. Each non-native species was grown with and without the native community under two watering treatments (regular and reduced). We measured biotic resistance as the difference in performance of non-native individuals grown with and without the community in terms of their survival, growth and reproduction. We quantified overall functional dissimilarity between non-native ornamental individuals and native communities based on the combination of plant height, specific leaf area and seed mass. Then, assuming each of these traits is also potentially linked to competitive ability, we measured the position of non-natives on trait hierarchies. While height is positively correlated with competitive ability for light interception, conservative leaf and seed characteristics provide greater tolerance to competition for other resources. Finally, we quantified plastic trait shifts of non-native individuals induced by competition. 3. Indeed, the native community repelled functionally similar individuals by lowering their survival rate. Simultaneously, shorter ornamental individuals with larger specific leaf areas were less tolerant to biotic resistance from the community across vital rates, although the effect of trait hierarchies often depended on watering conditions. Finally, non-natives responded to competition by shifting their traits. Most importantly, individuals with more competitive traits were able to overcome biotic resistance also through competition-induced plastic trait shifts. 4. Synthesis. Our results highlight that both functional dissimilarity and trait hierarchies mediate biotic resistance to ornamental plant invaders. Nevertheless, environmental stress as well as opposing trends across vital rates are also influential. Furthermore, plastic trait shifts can reinforce potential invadersâ€™ competitive superiority, determining a positive feedback.",mds,True,findable,232,18,1,1,0,2017-12-05T17:25:43.000Z,2017-12-05T17:25:44.000Z,dryad.dryad,dryad,"vital rates,Darwinâ€™s Naturalization Hypothesis,mesocosm experiment,Invasion ecology,fitness differences","[{'subject': 'vital rates'}, {'subject': 'Darwinâ€™s Naturalization Hypothesis'}, {'subject': 'mesocosm experiment'}, {'subject': 'Invasion ecology'}, {'subject': 'fitness differences'}]",['151315 bytes'],
-10.5281/zenodo.10013098,"Data and code for the article "" Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe""",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Research compendium to reproduce analyses and figures of the article: Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe by GaÃ¼zÃ¨re et al. published in Current Biology
-Pierre GaÃ¼zÃ¨re
-General
-This repository is structured as follow:
-
-data/: contains data required to reproduce figures and tables
-analyses/: contains scripts organized sequentially. A -> B -> C -> ..
-outputs/: follows the structure of analyses. Contains intermediate numeric results used to produce the figures
-figures_tables/: Contains the figures of the paper
-The analysis pipeline should be clear once opening the code. Contact me if needed but try before please.Â 
-Figures & tables
-Figures will be stored in figures_tables/. Tables will be stored in outputs/.",api,True,findable,0,0,0,0,3,2023-10-17T09:29:24.000Z,2023-10-17T09:29:24.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4079190,Data Sheet of Color Conversion Measurements,Zenodo,2019,en,Other,"Creative Commons Attribution 4.0 International,Open Access","For MILEDI project, CEA-Leti has at its disposal several equipment for color conversion measurements.",mds,True,findable,0,0,0,0,0,2020-10-11T14:59:49.000Z,2020-10-11T14:59:50.000Z,cern.zenodo,cern,"LED, color conversion test","[{'subject': 'LED, color conversion test'}]",,
-10.26302/sshade/experiment_dt_20170706_008,"Fe K edge XAS transmission of natural ankerite Ca(Fe,Mg,Mn)(CO3)2 at ambient conditions",SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:36:47.000Z,2019-12-05T14:36:48.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,natural terrestrial,carbonate,Natural ankerite Ca(Fe,Mg,Mn)(CO3)2,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'natural terrestrial'}, {'subject': 'carbonate'}, {'subject': 'Natural ankerite Ca(Fe,Mg,Mn)(CO3)2'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.3938956,Data: Crystallographic orientations of large hailstones,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The data are obtained from 6 hailstones, and are obtained from thin sections analyzed with an Automatic Texture Analyser (AITA).<br> The orientation data (c-axis orientations) are included in the file ""orientation.dat"", and the file ""orientation.bmp"" is a representation of the microstructure with a color-code related to the orientation. They can be easily treated with the open access too of Thomas Chauve (https://thomaschauve.github.io/aita/build/html/index.html) on Python. The author will provide any additionnal information required.",mds,True,findable,0,0,0,0,0,2020-07-10T15:31:39.000Z,2020-07-10T15:31:40.000Z,cern.zenodo,cern,"Hailstones,Crystallographic orientation,Texture,Microstructure","[{'subject': 'Hailstones'}, {'subject': 'Crystallographic orientation'}, {'subject': 'Texture'}, {'subject': 'Microstructure'}]",,
-10.6084/m9.figshare.16786741,Additional file 13 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 13. Ethical approval document (English).,mds,True,findable,0,0,16,1,0,2021-10-12T03:41:44.000Z,2021-10-12T03:41:45.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['18100 Bytes'],
-10.5061/dryad.3r2280ggb,Lags in phenological acclimation of mountain grasslands after recent warming,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"1. In the current biodiversity crisis, one of the crucial questions is how quickly plant communities can acclimate to climate warming and longer growing seasons to buffer the impairment of community functioning. Answering this question is pivotal especially for mountain grasslands that experience harsh conditions but provide important ecosystem services to people. 2. We conducted a reciprocal transplant experiment along an elevation gradient (1920 m vs. 2450 m) in the French Alps to test the ability of plant species and communities to acclimate to warming and cooling. For three years, we measured weekly the timing of phenological events (e.g. start of flowering or greening) and the length of phenological stages linked to demographic performance (e.g. lengths of flowering or greening periods). 3. We found that warming (and cooling) changed the timing of phenological events strongly enough to result in complete acclimation for graminoids, for communities in early and mid-season, but not at all for forbs. For example, warming resulted in later greening of communities and delayed all phenophases of graminoids. Lengths of phenological stages did not respond strongly enough to climate change to acclimate completely, except for graminoids. For example, warming led to an acclimation lag in the communityâ€™s yearly productivity and had a strong negative impact on flowering of forbs. Overall, when there was an acclimation failure, responses to cooling were mostly symmetric and confirmed slow acclimation in mountain grasslands. 4. Synthesis. Our study highlights that phenological plasticity cannot prevent impairment of community functioning under climate warming in the short-term. The failures to acclimate after three years of warming signals that species and communities underperform and are probably at high risk of being replaced by locally better-adapted plants.",mds,True,findable,134,7,0,1,0,2021-06-22T17:02:43.000Z,2021-06-22T17:02:44.000Z,dryad.dryad,dryad,"reciprocal transplant,warming experiment,transient dynamics,mountain grasslands,Climate change","[{'subject': 'reciprocal transplant'}, {'subject': 'warming experiment'}, {'subject': 'transient dynamics'}, {'subject': 'mountain grasslands'}, {'subject': 'Climate change', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['11714487 bytes'],
-10.5281/zenodo.7584063,Sea salt aerosol AOD at 550nm derived from MODIS,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset uses MODIS MOD08_M3 and MYD08_M3 data to derive monthly sea salt aerosol optical depth, using the Angstrom exponent as a filtering criterion. This dataset was created for the publication ""The representation of sea salt aerosols and their role in polar climate within CMIP6"", JGR: Atmospheres, 2023. The methodology for building this dataset is described in the publication, and the scripts used to do so can be found on GitHub at https://github.com/rlapere/CMIP6_SSA_Paper. The time period covered is 2005-2014, with a monthly time step. Warning: this dataset is only valid for polar regions, where sea salt dominate coarse mode aerosols. outside of 60-90N and 60-90S this product should not be used.",mds,True,findable,0,0,0,1,0,2023-01-30T10:48:43.000Z,2023-01-30T10:48:43.000Z,cern.zenodo,cern,,,,
-10.15778/resif.8n2021,"Monitoring of the Hautbois Wooden High-Rise building in Grenoble, France (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2023,,Dataset,"Open Access,Creative Commons Attribution 4.0 International","The emergence in the last 5 years of Tall Wood Buildings is part of the development of the wood industry and represents one of the relevant responses to current environmental and urban densification constraints. Among the technical challenges posed by such buildings, horizontal oscillations are a key issue. Indeed, the strength / lightness ratio of wood gives buildings interesting properties regarding earthquake but also more difficult to manage regarding wind loads, with induced vibrations that can be detrimental to the comfort of the occupants. Opertional Modal analysis on wooden structures showed significant variations in the dynamic properties of wooden high-rise buildings (frequencies, dampingâ€¦) ans many questions are related to the evolution over time (at during its use) of the dynamic properties of wood high-rise buildings. The scientific objectives of this experiment are therefore: the modal analysis of the wooden structure under ambient vibrations; the evaluation of modal fluctuations over time and their impact in terms of building performance (comfort and earthquake); the interpretation of the physical processes at the origin of these fluctuations. The selected building is a wooden high-rise (9 stories) building under construction (2020-2021) as part of the ""Le Haut-Bois"" project .",mds,True,findable,0,0,0,0,0,2022-10-05T14:08:45.000Z,2022-10-05T14:10:11.000Z,inist.resif,vcob,"Structural heath monitoring,wooden building,earthquake,fragility","[{'subject': 'Structural heath monitoring'}, {'subject': 'wooden building'}, {'subject': 'earthquake'}, {'subject': 'fragility'}]","['4 stations, 92Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.5281/zenodo.4769825,"PrISM satellite rainfall product (2010-2020) based on SMOS soil moisture measurements in Africa (3h, 0.25Â°)",Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The PrISM product is a satellite rainfall product initially designed for Africa over a regular grid at 0.25Â° (about 25x25 kmÂ²) and every 3 hours. It is obtained from the synergy of SMOS satellite soil moisture measurements and CMORPH-raw precipitation product through the PrIMS algorithm (<em>Pellarin et al., 2009, 2013, 2020, Louvet et al., 2015, </em>RomÃ¡n-CascÃ³n et al. 2017).",mds,True,findable,0,0,0,0,0,2021-05-18T12:58:13.000Z,2021-05-18T12:58:14.000Z,cern.zenodo,cern,Rainfall product (mm/3h) in Africa (2010-2020),[{'subject': 'Rainfall product (mm/3h) in Africa (2010-2020)'}],,
-10.26302/sshade/experiment_dt_20180117_007,V K edge XAS transmission of V metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T07:54:22.000Z,2019-11-16T07:54:22.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic V,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic V'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.57745/enjadk,Bilinear magnetoresistance in HgTe topological insulator: opposite signs at opposite surfaces demonstrated by gate control,Recherche Data Gouv,2022,,Dataset,,DATASET associated to the figure of the paper entitled : Bilinear magnetoresistance in HgTe topological insulator: opposite signs at opposite surfaces demonstrated by gate control. README file describe the data associated to each figure.,mds,True,findable,115,7,0,0,0,2022-08-03T03:16:27.000Z,2022-09-28T07:38:55.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.6855728,Code for noise-based seismic velocity changes estimation with the Bezymianny volcano data set. Journal of Volcanology and Geothermal Research.,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This file contains all the data and the python scripts used to estimate seismic velocity changes for the Bezymianny volcano (Klyuchevskoy volcano group). It also includes a guideline README.pdf with the description how to reproduce all the results presented in the paper <strong>Berezhnev Y., Belovezhets N., Shapiro N., Koulakov I. (2022), Temporal changes of seismic velocities below Bezymianny volcano prior to its explosive eruption on 20.12.2017, Journal of Volcanology and Geothermal Research</strong>",mds,True,findable,0,0,0,0,0,2022-07-19T03:12:13.000Z,2022-07-19T03:12:14.000Z,cern.zenodo,cern,"Ambient seismic noise,Volcano monitoring,Mechanical model,Bezymianny,Kamchatka Peninsula,Volcano","[{'subject': 'Ambient seismic noise'}, {'subject': 'Volcano monitoring'}, {'subject': 'Mechanical model'}, {'subject': 'Bezymianny'}, {'subject': 'Kamchatka Peninsula'}, {'subject': 'Volcano'}]",,
-10.15778/resif.mt,Observatoire Multi-disciplinaire des InstabilitÃ©s de Versants (OMIV),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2006,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","The French Landslide Observatory (OMIV â€“ Observatoire Multi-disciplinaire des InstabilitÃ©s de Versants) is a service (SNO â€“ Service National d'Observation) of the French Institute for Earth Sciences and Astronomy (INSU) of the National Center for Scientific Research (CNRS). The service monitors several continuously active landslides and rocky slopes affected by falls. The instrumented slopes are representative of deformation mechanisms and forcing conditions (rainfall, seismicity) observed in France. In 2018, the SNO partnership associates 5 OSUs (EOST, OSUG, THETA, OCA, OREME), two research laboratories (EMMAH, LETG-Caen) and two operational partners (ONF-RTM, BRGM). For each unstable slope, SNO-OMIV provides continuous open access to records of landslide kinematics, landslide seismicity, landslide hydrogeology, landslide hydrogeophysics and landslide forcing factors. It provides access to quality-controlled and standardized sensor data and to advanced analysis products (catalogues of landslide endogenous seismicity, surface displacement time series, effective rainfall time series). Combined, the five categories of observations are unique worldwide for long-term landslide documentation. The service was created and labelled by INSU in 2009; in 2018, OMIV is labelled for the monitoring and data management/diffusion for: - 7 permanent unstable slopes (Avignonet/HarmaliÃ¨re, La ClapiÃ¨re, SÃ©chilienne, Super-Sauze, Saint-Eynard, PÃ©gairolles, Villerville) and the (progressive) integration of landslide campaign measurements; - 5 categories of observation (Geodesy, Seismology, Hydrogeology, Hydrogeophysics, Meteorology) each of them being coordinated by one OSU partner. This DOI refers to the seismic signals recorded on 5 OMIV sites where continuous records of 3-component seismic sensors and seismic antennas (1-component vertical sensors located on a 40 to 100 m distance from the central 3-component sensor). Existing tools allow the use of these signals (i) to identify endogenous seismic signals emitted by the landslide deformation (micro-quakes, rockfalls, exotic gravitational signals) and (ii) to capture the response of the landslide to regional earthquakes or other forcing conditions. The OMIV seismological data are distributed through the RESIF Datacenter (French seismologic and geodetic network platform) at portal.resif.fr; the OMIV catalogues of endogeneous seismicity are distributed through the OMIV datacenter at ano-omiv.cnrs.fr",mds,True,findable,0,0,0,10,0,2015-02-09T08:47:01.000Z,2015-02-09T08:47:01.000Z,inist.resif,vcob,"Landslides,Slope Instabilities","[{'subject': 'Landslides'}, {'subject': 'Slope Instabilities'}]",['7 antennas + 6 active stations; approximately 2400 MB/day.'],"['miniseed data', 'stationXML metadata']"
-10.15778/resif.7h2010,Mouvements gravitaires (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2018,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","This experiment includes several independant sites. Data devoted to ambiant noise and micro-seismicity analysis. PBOU : Pont-Bourquin clayey landslide located next to Les Diablerets, Switzerland. Small (30 m large, 100m long) but very active (2 m /year) landslide, w ith some acceleration phases. Equiped with 6 vertical velocimeters. The dataset includes several acceleration and deceleration phases. CHOU : Chamousset site is in the eastern limestone cliff, south-east of the vercors massif, western alps, France. Two 3C sensors are on a prone-to-fall limestone flake (approximately 10m large, 2m thick, 30 m high), the third 3C velocimeter located on stable ground. T he dataset includes several seasonal evoluation of natural resonant frequencies, subject to winter snow and ice cover together with daily solar insulation. COB : Char d'Osset site, up Saint Julien Mont Denis village, Maurienne valley, french Alps. Shale cliff and clayey debris flow. Little rockfall and landslide deformation activity over several years of observation, but little seasonal variations of seismic velocity (dV/V).",mds,True,findable,0,0,0,9,0,2018-04-05T07:42:01.000Z,2018-04-05T07:42:01.000Z,inist.resif,vcob,"natural hazard,landslide,rockfall,environmental seismology","[{'subject': 'natural hazard'}, {'subject': 'landslide'}, {'subject': 'rockfall'}, {'subject': 'environmental seismology'}]","['Growing, 710 Gb, 3 stations']","['miniseed data', 'stationXML metadata']"
-10.5281/zenodo.10020967,robertxa/pyVertProf: BIC Release,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,New release with BIC analysis,api,True,findable,0,0,0,0,0,2023-10-19T08:42:31.000Z,2023-10-19T08:42:31.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_abs_hcn_hcn-ii,Absorption band list of HCN in natural solid HCN (phase II),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR absorption band list of HCN in natural solid HCN (phase II) at 35 and 95 K,mds,True,findable,0,0,0,0,0,2023-04-21T07:11:56.000Z,2023-04-21T07:11:56.000Z,inist.sshade,mgeg,"natural HCN - phase II,Hydrogen cyanide,Hydrogen cyanide phase II,HCN Phase II,Hydrogen cyanide,74-90-8,HCN,hydrogen bonded molecular solid,molecular solids with hydrogen bonded molecules,organic molecular solid,absorption,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural HCN - phase II', 'subjectScheme': 'name'}, {'subject': 'Hydrogen cyanide', 'subjectScheme': 'name'}, {'subject': 'Hydrogen cyanide phase II', 'subjectScheme': 'name'}, {'subject': 'HCN Phase II', 'subjectScheme': 'name'}, {'subject': 'Hydrogen cyanide', 'subjectScheme': 'IUPAC name'}, {'subject': '74-90-8', 'subjectScheme': 'CAS number'}, {'subject': 'HCN', 'subjectScheme': 'formula'}, {'subject': 'hydrogen bonded molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with hydrogen bonded molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.26302/sshade/experiment_rc_20191124_000,VIS-NIR reflectance spectra collected during low-temperature and near-vacuum sublimation of compact slabs of salty ice produced by slowly freezing solutions of Na2SO4 with three different concentrations,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Compact slabs of salty (Na2SO4) ice are produced by slowly freezing small volumes of salt solutions into a laboratory freezer at 230K. The samples are then introduced in the SCITEAS-2 simulations chamber and their slow sublimation at low temperature and in secondary vacuum is followed for several tens of hours by VIS-NIR hyperspectral imaging.,mds,True,findable,0,0,0,0,0,2023-06-09T17:17:05.000Z,2023-06-09T17:17:06.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,water ice,Sodium sulfate hydrates,laboratory,inorganic molecular solid,sulfate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'Sodium sulfate hydrates', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'sulfate', 'subjectScheme': 'compound type'}]",['240 spectra'],['ASCII']
-10.17178/ohmcv.dsd.vb3.12-16.1,"DSD network, Villeneuve-de-Berg-3",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,2,0,0,2017-10-17T13:24:26.000Z,2017-10-17T13:24:27.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.26302/sshade/experiment_cl_20181202_03,Ion irradiation ($He^+$) of a Mighei meteorite pellet probed by NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR spectra of Mighei meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T17:02:18.000Z,2022-05-27T17:02:19.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix Mighei,complex mineral mix,chondrules Mighei,CAIs Mighei,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Mighei'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Mighei'}, {'subject': 'CAIs Mighei'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.17178/amma-catch.ce.veg_ncw,"Vegetation dataset (seasonal dynamics of millet and fallow), within the Wankama watershed (1 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","1) Characterize the vegetation of a representative Sahelian watershed and, especially of the flux stations's footprints, 2) Observations required to parameterize and validate Soil-Vegetation-Atmosphere Transfer (SVAT), hydrologic and vegetation models.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:06.000Z,2018-03-16T15:37:07.000Z,inist.osug,jbru,"LAI, biomass, cover height, phenology, millet field, fallow,Sahelian climate,Cover Height Mean,Cover Height Standard Deviation,Dry Total Biomass Standard Deviation,Leaf Area Index,Dry Total Biomass Mean","[{'subject': 'LAI, biomass, cover height, phenology, millet field, fallow', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Cover Height Mean', 'subjectScheme': 'var'}, {'subject': 'Cover Height Standard Deviation', 'subjectScheme': 'var'}, {'subject': 'Dry Total Biomass Standard Deviation', 'subjectScheme': 'var'}, {'subject': 'Leaf Area Index', 'subjectScheme': 'var'}, {'subject': 'Dry Total Biomass Mean', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.18709/perscido.2022.02.ds365,Snow surface temperature in mountainous areas,PerSCiDo,2022,en,Dataset,,"Here we compile all the data needed for the simulations of snow surface temperature in mountainous areas with the RoughSEB model, as well as the simulation results. The weather and radiometric measurements are from the FluxAlp station.",fabrica,True,findable,0,0,0,1,0,2022-02-10T14:39:33.000Z,2022-02-10T14:39:34.000Z,inist.persyval,vcob,"Physics,Glaciology,Environmental science and ecology","[{'lang': 'en', 'subject': 'Physics'}, {'lang': 'en', 'subject': 'Glaciology'}, {'lang': 'en', 'subject': 'Environmental science and ecology'}]",['100Mo'],
-10.15778/resif.4c2011,"Seismic network 4C:French and Greek part of the NERA-JRA1 experiment (RESIF-SISMOB, ITSAK, GFZ, INGV)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2018,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Within the framework of the JRA1 work packages (Waveform modelling and site coefficients for basin response and topography) of the FP7 EU-NERA 2010-2014 project (Network of European Research Infrastructures for Earthquake Risk Assessment and Mitigation), a dense seismological temporary network was deployed in the Argostoli sedimentary basin (Cephalonia island, Greece) in order to investigate basin effects and spatial variation of ground motion. Tooking place during the period September 15th, 2011 to April 20th, 2012, the seismological experiment comprised 62 seismological stations (mid-band velocimeters, eventually coupled with accelerometers) deployed across the Argostoli basin with inter-station of about 50 meters. 2 mid-band velocimeters were installed at the eastern- and western-most part of the island in order to improve hypocentral location of earthquakes recorded during the experiment. Finally, two dense seismic arrays (with inter-station distance from 5 m to 160 m) were also deployed inside the basin to thoroughly understand seismic wave field composition. More than 3000 seismic events were recorded by this seismological network, among which 817 event with a signal-to-noise ratio above 3.",mds,True,findable,0,0,0,6,0,2018-05-22T14:24:55.000Z,2018-05-22T14:24:55.000Z,inist.resif,vcob,"dense array,site effects,spatial variability","[{'subject': 'dense array'}, {'subject': 'site effects'}, {'subject': 'spatial variability'}]",['559 Gb; 37 stations'],"['miniseed data', 'stationXML metadata']"
-10.26302/sshade/experiment_bs_20120924_001,Mid-IR Transmission spectra of crystalline Ih H2O ice at different temperatures (145K to 17K),SSHADE/GhoSST (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Mid-IR Transmission spectra of crystalline Ih H2O ice (0.74Âµm film) deposited at 145K and measured at different temperatures (145K to 17K),mds,True,findable,0,0,0,0,0,2019-12-03T08:31:52.000Z,2019-12-03T08:31:52.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,H2O crystalline phase Ih,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O crystalline phase Ih'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}]",['4 spectra'],['ASCII']
-10.26302/sshade/experiment_st_20161124_001,Hg L3 edge XAS HERFD of mercury cysteine and sulfide for the study of Hg(II) uptake and sulfur metabolism,SSHADE/FAME (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Varying the Hg environment and temperature og measurement,mds,True,findable,0,0,0,0,0,2019-12-05T13:43:26.000Z,2019-12-05T13:43:26.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,metacinnabar,cinnabar,molecular solid solution,Frozen solution of Hg(Cysteine)4,Frozen solution of Hg(Cysteine)2 at pH=3,Frozen solution of Hg(Cysteine)2 at pH=11.6,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'metacinnabar'}, {'subject': 'cinnabar'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of Hg(Cysteine)4'}, {'subject': 'Frozen solution of Hg(Cysteine)2 at pH=3'}, {'subject': 'Frozen solution of Hg(Cysteine)2 at pH=11.6'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['7 spectra'],['ASCII']
-10.26302/sshade/experiment_bs_20191226_001,"NIR reflectance spectra of two mixtures of CO2 snow and H2O ice (0.1%, 1.5%) submitted to slow sublimation under illumination",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR reflectance spectra of two $CO_2$ snow samples with different abundances of $H_2O$ ice (0.1wt%, 1.5wt%) deposited over a layer of volcanic tuff, and submitted to progressive sublimation under illumination",mds,True,findable,0,0,0,0,0,2019-12-27T14:45:21.000Z,2019-12-27T14:45:22.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,H2O ice,solid,solid CO2,mineral,natural terrestrial,tektosilicate,Anorthite,Albite,Orthoclase,Nepheline,inosilicate,Diopside,nesosilicate,Forsterite,oxide-hydroxide,Hematite,Ilmenite,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O ice'}, {'subject': 'solid'}, {'subject': 'solid CO2'}, {'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'tektosilicate'}, {'subject': 'Anorthite'}, {'subject': 'Albite'}, {'subject': 'Orthoclase'}, {'subject': 'Nepheline'}, {'subject': 'inosilicate'}, {'subject': 'Diopside'}, {'subject': 'nesosilicate'}, {'subject': 'Forsterite'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hematite'}, {'subject': 'Ilmenite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['49 spectra'],['ASCII']
-10.15778/resif.xy2007,Seismic network XY:SIMBAAD temporary experiment - Backbone of broadband stations,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2013,en,Other,"Open Access,Creative Commons Attribution 4.0 International","Temporary seismic array of broadband stations in Turkey, Greece and Bulgaria complementing the permanent arrays of Greece and Turkey to an average interstation spacing of 80-100 km. Goal: imaging of the crust and upper mantle using earthquake and noise records. Sensors: Streckheisen STS2 and GÃ¼ralp CMG3ESP (90s). Digitizers: Agecodagis Minititan",mds,True,findable,0,0,0,0,0,2015-12-02T12:45:43.000Z,2015-12-02T12:45:43.000Z,inist.resif,vcob,"Greece and Western Turkey,Aegean and Anatolian regions,Structure of the crust and upper mantle,Seismic imaging","[{'subject': 'Greece and Western Turkey'}, {'subject': 'Aegean and Anatolian regions'}, {'subject': 'Structure of the crust and upper mantle'}, {'subject': 'Seismic imaging'}]",,
-10.5281/zenodo.7865424,Raw and post-processed data for the study of prosodic cues to word boundaries in a segmentation task using reverse correlation,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The current dataset provides all the stimuli (folder <strong>../01-Stimuli/</strong>), raw data (folder <strong>../02-Raw-data/</strong>) and post-processed data (<strong>../03-Post-proc-data/</strong>) used in a prosody reverse correlation study with the title ""prosodic cues to word boundaries in a segmentation task using reverse correlation"" by the same authors. The listening experiment was implemented using one-interval trials with target words of the structure l'aX (option 1) and la'X (option 2). The experiment was designed and implemented using the fastACI toolbox under the name 'segmentation'. A between-subject design was used with a total of 47 participants, who evaluated one of five conditions, LAMI (N=16), LAPEL (N=18), LACROCH (N=5), LALARM (N=5), and LAMI_SHIFTED (N=3). More details are given in the related publication (to be submitted to JASA-EL in May 2023).",mds,True,findable,0,0,1,0,0,2023-04-25T22:48:56.000Z,2023-04-25T22:48:57.000Z,cern.zenodo,cern,"Reverse correlation,Prosody,Speech perception,Segmentation","[{'subject': 'Reverse correlation'}, {'subject': 'Prosody'}, {'subject': 'Speech perception'}, {'subject': 'Segmentation'}]",,
-10.5281/zenodo.3817352,"Search Queries for ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" v1.0",Zenodo,2018,,Software,"Creative Commons Attribution 4.0 International,Open Access","<strong>This package contain machine readable (xml) search queries for Scopus to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs).</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as <em>proof of practice</em>.) The initiative started from the Aurora Universities Network in 2017, in the working group ""Societal Impact and Relevance of Research"", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's). The classification model we have used are 17 different search queries on the Scopus database. The search queries are elegant constructions with keyword combinations and boolean operators, in the syntax specific to the Scopus Query Language. We have used Scopus because it covers more research area's that are relevant to the SDG's, and we could filter much easier the Aurora Institutions. <strong>Versions</strong> Different versions of the search queries have been made over the past years to improve the precision (soundness) and recall (completeness) of the results. The queries have been made in a team effort by several bibliometric experts from the Aurora Universities. Each one did two or 3 SDG's, and than reviewed each other's work. v1.0 January 2018<em> Initial 'strict' version.</em> In this version only the terms were used that appear in the SDG policy text of the targets and indicators defined by the UN. At this point we have been aware of the SDSN Compiled list of keywords, and used them as inspiration. Rule of thumb was to use <em>keyword-combination searches</em> as much as possible rather than <em>single-keyword searches</em>, to be more precise rather than to yield large amounts of false positive papers. Also we did not use the inverse or 'NOT' operator, to prevent removing true positives from the result set. This version has not been reviewed by peers. Download from: GitHub / Zenodo v2.0 March 2018<em> Reviewed 'strict' version.</em> Same as version 1, but now reviewed by peers. Download from: GitHub / Zenodo v3.0 May 2019 <em>'echo chamber' version.</em> We noticed that using strictly the terms that policy makers of the UN use in the targets and indicators, that much of the research that did not use that specific terms was left out in the result set. (eg. ""mortality"" vs ""deaths"") To increase the recall, without reducing precision of the papers in the results, we added keywords that were obvious synonyms and antonyms to the existing 'strict' keywords. This was done based on the keywords that appeared in papers in the result set of version 2. This creates an 'echo chamber', that results in more of the same papers. Download from: GitHub / Zenodo v4.0 August 2019<em> uniform 'split' version.</em> Over the course of the years, the UN changed and added Targets and indicators. In order to keep track of if we missed a target, we have split the queries to match the targets within the goals. This gives much more control in maintenance of the queries. Also in this version the use of brackets, quotation marks, etc. has been made uniform, so it also works with API's, and not only with GUI's. His version has been used to evaluate using a survey, to get baseline measurements for the precision and recall. Published here: Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. Download from: GitHub / Zenodo v5.0 June 2020 <em>'improved' version.</em> In order to better reflect academic representation of research output that relate to the SDG's, we have added more keyword combinations to the queries to increase the recall, to yield more research papers related to the SDG's, using academic terminology. We mainly used the input from the Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. We ran several text analyses: Frequent term combination in title and abstracts from Suggested papers, and in selected (accepted) papers, suggested journals, etc. Secondly we got inspiration out of the Elsevier SDG queries Jayabalasingham, Bamini; Boverhof, Roy; Agnew, Kevin; Klein, Lisette (2019), â€œIdentifying research supporting the United Nations Sustainable Development Goalsâ€, Mendeley Data, v1 https://dx.doi.org/10.17632/87txkw7khs.1. Download from: GitHub / Zenodo <strong>Contribute and improve the SDG Search Queries</strong> We welcome you to join the Github community and to fork, improve and make a pull request to add your improvements to the new version of the SDG queries. <strong>https://github.com/Aurora-Network-Global/sdg-queries</strong>",mds,True,findable,0,0,1,0,0,2020-05-15T12:48:02.000Z,2020-05-15T12:48:03.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Classification model,Search Queries,SCOPUS","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Classification model'}, {'subject': 'Search Queries'}, {'subject': 'SCOPUS'}]",,
-10.5281/zenodo.3888347,Spam: Software for Practical Analysis of Materials - datasets for tutorials,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Datasets for spam tutorials: <strong>VEC4</strong> dataset from E.M. Charalampidou, E. Tudisco, S.A. Hall Experimental details available here: Charalampidou, E.M. (2011), ""Experimental study of localised deformation in porous sandstones"", <em>PhD Thesis</em> This dataset is two x-ray tomography scans of a notched sandstone sample scanned before and after deformation in an external rig.<br> There is a rigid body displacement between the two scans that can be taken into account nicely with a registration.<br> Scans from Laboratoire 3SR, Grenoble.<br> <strong>M2EA05</strong> dataset from E. AndÃ², G. Viggiani and J. Andrade.<br> This data already used in the following papers for comparison to numerical simulations: Kawamoto, R., AndÃ², E., Viggiani, G., &amp; Andrade, J. E. (2016). Level set discrete element method for three-dimensional computations with triaxial case study. <em>Journal of the Mechanics and Physics of Solids</em>, <em>91</em>, 1-13 Nadimi, S., Fonseca, J., AndÃ², E., &amp; Viggiani, G. (2019). A micro finite-element model for soil behaviour: experimental evaluation for sand under triaxial compression. <em>GÃ©otechnique</em>, 1-6 This dataset is a series of x-ray tomographies acquired during the triaxial compression of a small sample of a ""Martian Simulant"" soil, performed in Laboratoire 3SR, Grenoble.<br> <strong>c01_F10_b4</strong> dataset from O. Stamati, E. Roubin, E. AndÃ² and Y. Malecot <em>This dataset belongs to a paper which is under review</em> This is a 4-binned x-ray tomography of a small cylindrical sample of <em>micro-concrete</em><br> Scans from Laboratoire 3SR, Grenoble.<br> <strong>SandNX</strong> dataset from M. Milatz <em>The dataset is currently being analysed further</em> See this publication for the experimental setup: Milatz, M. (2020). An automated testing device for continuous measurement of the hysteretic water retention curve of granular media. <em>Acta Geotechnica</em>, 1-19<br> Data acquired on NeXT-Grenoble, a simultaneous Neutron and X-ray scanner at the ILL in Grenoble (Experiment UGA-73).<br> Neutron tomography has had a x0.7 downscale to bring it approximately in line with the pixel size for the x-ray tomography.<br> <strong>YehyaConcreteNX</strong> dataset from M. Yehya, A. Tengattini, E. AndÃ², F. Dufour Yehya, M., Ando, E., Dufour, F., &amp; Tengattini, A. (2018). Fluid-flow measurements in low permeability media with high pressure gradients using neutron imaging: Application to concrete. <em>Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment</em>, <em>890</em>, 35-42 Data acquired on NeXT-Grenoble, a simultaneous Neutron and X-ray scanner at the ILL in Grenoble (Experiment UGA-25).",mds,True,findable,0,0,0,0,0,2020-06-19T07:37:28.000Z,2020-06-19T07:37:29.000Z,cern.zenodo,cern,"tomography,digital image correlation,digital volume correlation,photo mechanics,granular mechanics,sandstone,strain localisation","[{'subject': 'tomography'}, {'subject': 'digital image correlation'}, {'subject': 'digital volume correlation'}, {'subject': 'photo mechanics'}, {'subject': 'granular mechanics'}, {'subject': 'sandstone'}, {'subject': 'strain localisation'}]",,
-10.5281/zenodo.10400475,Supplementary Data to journal publication on 'The Foundations of the Patagonian Icefields',Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,Partitioning and comparison of ice discharge estimates from the the Patagonian Icefields comprising associated uncertainties. For further details please refer to the notes in the individual files and/or consult the associated publication entitled 'The Foundations of the Patagonian Icefields' published in Communications Earth & Environment.,api,True,findable,0,0,0,0,0,2023-12-18T09:11:13.000Z,2023-12-18T09:11:13.000Z,cern.zenodo,cern,"Patagonia,icefield,discharge,thickness","[{'subject': 'Patagonia'}, {'subject': 'icefield'}, {'subject': 'discharge'}, {'subject': 'thickness'}]",,
-10.26302/sshade/bandlist_abs_nh3_nh3-i,Absorption band list of crystalline NH3 in natural solid NH3 (phase I),SSHADE/BANDLIST (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",FIR-MIR-NIR-VUV absorption band list of crystalline $NH_3$ in natural solid $NH_3$ (phase I) at 20 $\pm$ 10K and 90 $\pm$ 15K,mds,True,findable,0,0,0,0,0,2023-04-21T07:12:18.000Z,2023-04-21T07:12:18.000Z,inist.sshade,mgeg,"natural NH3 - phase I,Ammonia,Ammonia ice,cubic NH3 ice,Ammonia,7664-41-7,NH3,polar molecular solid,molecular solids with polar molecules,inorganic molecular solid,absorption,FIR,MIR,NIR,VUV,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural NH3 - phase I', 'subjectScheme': 'name'}, {'subject': 'Ammonia', 'subjectScheme': 'name'}, {'subject': 'Ammonia ice', 'subjectScheme': 'name'}, {'subject': 'cubic NH3 ice', 'subjectScheme': 'name'}, {'subject': 'Ammonia', 'subjectScheme': 'IUPAC name'}, {'subject': '7664-41-7', 'subjectScheme': 'CAS number'}, {'subject': 'NH3', 'subjectScheme': 'formula'}, {'subject': 'polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with polar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'VUV', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5061/dryad.pf420,Data from: Onset of autumn shapes the timing of birth in Pyrenean chamois more than onset of spring,Dryad,2016,en,Dataset,Creative Commons Zero v1.0 Universal,"1. In seasonal environments, birth dates are a central component for a speciesâ€™ life history, with potential long-term fitness consequences. Yet our understanding of selective pressures of environmental changes on birth dates is limited in wild mammals due to the difficulty of data collection. In a context of rapid climate change, the question of a possible mismatch between plant phenology and birth phenology also remains unanswered for most species. 2. We assessed whether and how the timing of birth in a mountain mammal (isard, Rupicapra pyrenaica) tracked changes in plant growing season, accounting for maternal traits, individual heterogeneity, and population density. We not only focused on spring conditions but also assessed to what extent onset of autumn can be a driver of phenological biological events and compared the magnitude of the response to the magnitude of the environmental changes. We relied on a 22-year study based on intensively monitored marked individuals of known age. 3. Births were highly synchronized (80% of kids born within 25 days) and highly repeatable (84%; among-females variation of 9.6 days, withinfemale variation of 4.2 days). Individual phenotypic plasticity allows females to respond rapidly to inter-annual changes in plant phenology but did not prevent the existence of a mismatch: a 10-day advance in the autumn or spring plant phenology led to 3.9 and 1.3 days advance in birth dates, respectively. 4. Our findings suggest that plant phenology may act as a cue to induce important stages of the reproductive cycle (e.g., conception and gestation length), subsequently affecting parturition dates, and stressed the importance of focusing on long-term changes during spring for which females may show much lower adaptive potential than during autumn. These results also question the extent to which individual plasticity along with high heterogeneity among individuals will allow species to cope with demographic consequences of climate changes.",mds,True,findable,216,17,1,1,0,2015-09-29T14:57:08.000Z,2015-09-29T14:57:09.000Z,dryad.dryad,dryad,"Pyrenean chamois,onsets of spring and autumn,Rupicapra pyrenaica,birth phenology,marked animals","[{'subject': 'Pyrenean chamois'}, {'subject': 'onsets of spring and autumn'}, {'subject': 'Rupicapra pyrenaica'}, {'subject': 'birth phenology'}, {'subject': 'marked animals'}]",['34973 bytes'],
-10.48380/gq45-dv88,Towards a geochemical approach to guide hydrothermal REE recovery from NdFeB magnets,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>The NdFeB magnet world demand has doubled since 2005 to reach above 120 kton in 2020 [1]. The growing demand for REEs prompts their recycling. Sintered NdFeB permanent magnets are usually composed of above 20 wt.% Nd and a few wt.% of Pr and Dy. There are two main recycling ways for REE-based magnets. In the â€œshort-loop processâ€, the main alloy is maintained in the valorized magnets, meaning that the microstructure and magnetic properties directly arise from the end-of-life product. In the â€œlong loopâ€ recycling process, one tries to extract the REEs from the alloy, which is the purpose of the present work.</p>
-<p>The chemical separation of REEs from each other is difficult due to the similarity of their chemical properties. Following the encouraging results obtained by [2] in recovering REEs from NdFeB by hydrothermal treatment, we developed a geochemical approach of aqueous fluid â€“ REE-compounds interactions based on the use PHREEQC software with the implementation of relevant REE-phases in the database. The database is tested against hydrothermal experiments on NdFeB powders with in-situ solution sampling. When reacted at 250Â°C and 100 bar, NdFeB powders transform into Nd(OH)<sub>2</sub>, magnetite and Nd-borates along with large amounts of H<sub>2</sub>. The low Nd solubility measured in the experiment is likely controlled by Nd-borates. The database will allow to investigate the effect of chlorine or CO<sub>2</sub> on the REE behaviour.</p>
-<p>[1] Yang, Y. et al. (2017). <em>J. Sustain. Metall.</em>, 3, 122-149.</p>
-<p>[2] MaaÌ‚t, N. et al. <em>ACS Sustain. Chem. Eng.</em>, 4, 6455-6462.</p>
-",api,True,findable,0,0,0,0,0,2023-12-11T21:13:49.000Z,2023-12-11T21:13:49.000Z,mcdy.dohrmi,mcdy,,,,
-10.26302/sshade/experiment_cl_20181201_05,Ion irradiation ($He^+$) of an Tagish Lake meteorite pellet probed by Vis-NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR spectra of Tagish Lake meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T17:01:05.000Z,2022-05-27T17:01:07.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,ungrouped,complex organic-mineral mix,matrix TagishLake,complex mineral mix,chondrules TagishLake,CAIs Tagish Lake,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'ungrouped'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix TagishLake'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules TagishLake'}, {'subject': 'CAIs Tagish Lake'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.5281/zenodo.7603489,"Model outputs and species-level data for ""Functional traits and climate drive interspecific differences in disturbance-induced tree mortality""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository is divided in three sub-directories: <em><strong>sensitivity </strong></em>contains the posterior of each parameter estimated by the bayesian mortality model in a rdata file. This file was generated by the script https://github.com/jbarrere3/SalvageModel/tree/withFinland <em><strong>climate </strong></em>contains for each tree species the climatic variables (mean annual temperature, minimum annual temperature and annual precipitation) extracted from CHELSA and the disturbance-related climatic indices (Fire Weather Index, Snow Water Equivalent and Gust Wind Speed) <em><strong>traits </strong></em>contains the traits calculated directly with NFI data (bark thickness, height to dbh ratio, maximum growth), and a text file with the Species and Trait ID to request to TRY database. The content of this repository can be used to reproduce the analyses of the paper, with the script stored in in https://github.com/jbarrere3/DisturbancePaper <strong>Edit (19/09/2023):</strong> A minor coding error was found in the pre-formatted data of the paper, which did not affect the main results but led to minor change in the value of the posterior estimates. An updated version of the posterior estimates of this dataset was made available at https://zenodo.org/record/8358921.",mds,True,findable,0,0,0,0,0,2023-02-03T16:23:20.000Z,2023-02-03T16:23:21.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7056781,Companion data of Exploiting system level heterogeneity to improve the performance of a GeoStatistics multi-phase task-based application,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the companion data repository for the paper entitled <strong>Exploiting system level heterogeneity to improve the performance of a GeoStatistics multi-phase task-based application</strong> by Lucas Leandro Nesi, Lucas Mello Schnorr, and Arnaud Legrand. The manuscript has been accepted for publication in the ICPP 2021.",mds,True,findable,0,0,0,0,0,2022-09-07T11:24:38.000Z,2022-09-07T11:24:39.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8316094,Analysis of AaH-II effect in the axon initial of neocortical pyramidal neurons,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains data in HEK293 neurons expressing either human Na<sub>v</sub>1.2 or human Na<sub>v</sub>1.6 and whole-cell electrophysiological recordings and imaging data from neocortical layer-5 pyramidal neuron in brain slices of the mouse. This dataset is used in the paper: Abbas F, BlÃ¶mer LA, Millet H, Montnach J, De Waard M, Canepari M. Analysis of the effect of the scorpion toxin AaH-II on action potential generation in the axon initial segment. bioRxiv, 2023. https://www.biorxiv.org/content/10.1101/2023.10.06.561226v1",mds,True,findable,0,0,0,0,0,2023-10-10T13:59:14.000Z,2023-10-10T13:59:15.000Z,cern.zenodo,cern,"sodium channels,toxins,patch clamp,imaging,neocortical layer-5 pyramidal neuron","[{'subject': 'sodium channels'}, {'subject': 'toxins'}, {'subject': 'patch clamp'}, {'subject': 'imaging'}, {'subject': 'neocortical layer-5 pyramidal neuron'}]",,
-10.26302/sshade/experiment_bs_20120925_011,"Vis-NIR bidirectional reflection spectra (i=0,30,60Â°, e=0,30,60,70Â°, az=0,180Â°) of wet crusted Snow - ArgentiÃ¨re (S2) at -10Â°C",SSHADE/GhoSST (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Series of Vis-NIR bidirectional reflection spectra (i=0, 30, 60Â°, e=0, 30, 60, 70Â°, az=0, 180Â°) at -10Â°C of wet crusted Snow with ~0.5% mineral impurities - ArgentiÃ¨re (S2)",mds,True,findable,0,0,0,0,0,2019-12-04T17:20:43.000Z,2019-12-04T17:20:44.000Z,inist.sshade,mgeg,"natural terrestrial,inorganic molecular solid,natural H2O ice,silicate,rock minerals,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'natural terrestrial'}, {'subject': 'inorganic molecular solid'}, {'subject': 'natural H2O ice'}, {'subject': 'silicate'}, {'subject': 'rock minerals'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_cc_20190501_01,VNIR reflectance spectra of Magnesium chloride dihydrate with 3 different grain sizes and at variable temperature (80-295 K),SSHADE/REFL_SLAB+CSS (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR (0.5-4.7 Âµm) reflectance spectra of Magnesium chloride dihydrate with three different grain sizes (0-36, 75-100 and 125-150 Âµm) acquired at 12 temperatures between 80K and 295K",mds,True,findable,0,0,0,0,0,2021-10-27T11:32:30.000Z,2021-10-27T11:32:31.000Z,inist.sshade,mgeg,"solid,commercial,chloride,Magnesium chloride dihydrate,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'chloride'}, {'subject': 'Magnesium chloride dihydrate'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['42 spectra'],['ASCII']
-10.6084/m9.figshare.c.7081935,Healthcare-associated infections in patients with severe COVID-19 supported with extracorporeal membrane oxygenation: a nationwide cohort study,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Both critically ill patients with coronavirus disease 2019 (COVID-19) and patients receiving extracorporeal membrane oxygenation (ECMO) support exhibit a high incidence of healthcare-associated infections (HAI). However, data on incidence, microbiology, resistance patterns, and the impact of HAI on outcomes in patients receiving ECMO for severe COVID-19 remain limited. We aimed to report HAI incidence and microbiology in patients receiving ECMO for severe COVID-19 and to evaluate the impact of ECMO-associated infections (ECMO-AI) on in-hospital mortality. Methods For this study, we analyzed data from 701 patients included in the ECMOSARS registry which included COVID-19 patients supported by ECMO in France. Results Among 602 analyzed patients for whom HAI and hospital mortality data were available, 214 (36%) had ECMO-AI, resulting in an incidence rate of 27 ECMO-AI per 1000 ECMO days at risk. Of these, 154 patients had bloodstream infection (BSI) and 117 patients had ventilator-associated pneumonia (VAP). The responsible microorganisms were Enterobacteriaceae (34% for BSI and 48% for VAP), Enterococcus species (25% and 6%, respectively) and non-fermenting Gram-negative bacilli (13% and 20%, respectively). Fungal infections were also observed (10% for BSI and 3% for VAP), as were multidrug-resistant organisms (21% and 15%, respectively). Using a CoxÂ multistate model, ECMO-AI were not found associated with hospital death (HRâ€‰=â€‰1.00 95% CI [0.79â€“1.26], pâ€‰=â€‰0.986). Conclusions In a nationwide cohort of COVID-19 patients receiving ECMO support, we observed a high incidence of ECMO-AI. ECMO-AI were not found associated with hospital death. Trial registration number NCT04397588 (May 21, 2020).",mds,True,findable,0,0,0,0,0,2024-02-20T04:42:20.000Z,2024-02-20T04:42:21.000Z,figshare.ars,otjm,"Microbiology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",,
-10.5281/zenodo.4625676,peanut,Zenodo,2021,,Software,"MIT License,Open Access",Experiment engine for Grid5000,mds,True,findable,0,0,1,0,0,2021-03-21T16:53:16.000Z,2021-03-21T16:53:17.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_dt_20180117_005,Nb K edge XAS transmission of Nb metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T07:52:54.000Z,2019-11-16T07:52:55.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Nb,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Nb'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.34847/nkl.bafagy29,"Figure 8 : Extrait vidÃ©o ""Prendre la pose pour la camÃ©ra""",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,,Audiovisual,,"Figure 8 : Extrait vidÃ©o  ""Prendre la pose pour la camÃ©ra""
-
-Dans le chapitre : Participer au quotidien dâ€™enfants dâ€™Ã¢ge prÃ©scolaire. Saisir lâ€™expÃ©rience sensible de la ville par un dispositif dâ€™immersion filmique",api,True,findable,0,0,0,0,0,2023-10-13T12:52:25.000Z,2023-10-13T12:52:26.000Z,inist.humanum,jbru,"enfant,mÃ©thode","[{'subject': 'enfant'}, {'subject': 'mÃ©thode'}]",['38408502 Bytes'],['video/quicktime']
-10.5281/zenodo.10020953,robertxa/Lutiniere: Final data,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,DonnÃ©es topographiques du systÃ¨me d'HuretiÃ¨res et de la grotte de la LutiniÃ¨re,api,True,findable,0,0,0,0,0,2023-10-19T08:39:08.000Z,2023-10-19T08:39:08.000Z,cern.zenodo,cern,,,,
-10.17178/gnss.products.deeptrigger.chile,Metadata and daily observation files in RINEX format for DEEP-trigger GNSS stations installed in Chile,"CNRS, OSUG, ISTERRE",2026,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)"". 
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes station metadata in GipsyX staDB format, as well as daily observation RINEX files for the 9 GNSS stations installed in Chile in the frame of the DEEP-trigger project.",mds,True,findable,0,0,0,0,0,2023-04-08T13:17:00.000Z,2023-04-08T13:17:02.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.17178/emaa_hc(15n)_rotation_0d5ef109,"Rotation excitation of HC[15N] by He, electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 36 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for He (25 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:56.000Z,2021-11-18T13:34:57.000Z,inist.osug,jbru,"target HC[15N],excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,collider.3 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC[15N]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.3 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.10485579,"Fig. 3 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016,,Image,License Not Specified,"Fig. 3. HPLC analyses of the reaction catalyzed by ceQORH in the presence of trans- 1,3-diphenyl-2-propenone and NADPH at 312 nm (maximum of absorption of bisphenylpropenone). (A) ceQORH activity was measured as a function of the trans- 1,3-diphenyl-2-propenone concentration in the presence of NADPH (k = 3.6 Â± 1.5 s â€“1, K = 14 Â± 2 ÂµM). (B) HPLC profile of 1 nmol of trans-1,3- cat M diphenyl-2-propenone. The alkene function is responsible of the absorption at 312 nm. (C) Chromatograms of the complete reaction mixture at different reaction times. The decrease in absorbance at 312 nm demonstrates that CeQORH reduces the alkene function. (D) Same as in C with the absorption measured at 250 nm showing the time dependent appearence of a novel product eluted earlier. The absorption of the peak eluted at 3.5 min does not change at 312 nm or 250 nm and most certainly corresponds to the cis-isomer of 1,3-bisphenyl-2-propenone.",api,True,findable,0,0,0,0,0,2024-01-11T04:59:38.000Z,2024-01-11T04:59:38.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.26302/sshade/experiment_bs_20200202_001,"MIR absorption coefficient spectra of H2S (nu_1,nu_3 bands) in 3 different phases (amorphous, III, II) and diluted in SO2 ice",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","MIR absorption coefficient spectra of H2S (around the nu_1,nu_3 bands) in 3 different phases (amorphous (56K), III (85K), II (107K)) and diluted in SO2 ice (130K)",mds,True,findable,0,0,0,0,0,2020-04-20T17:28:05.000Z,2020-04-20T17:28:05.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,H2S amorphous,H2S phase III,H2S phase II,solid molecular mixture,crystalline SO2:CO2:H2S=92.5%:4.7%:2.8% ice mixture,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorption coefficient","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2S amorphous'}, {'subject': 'H2S phase III'}, {'subject': 'H2S phase II'}, {'subject': 'solid molecular mixture'}, {'subject': 'crystalline SO2:CO2:H2S=92.5%:4.7%:2.8% ice mixture'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorption coefficient'}]",['4 spectra'],['ASCII']
-10.26302/sshade/experiment_lb_20180719_001,Representative raw Raman spectra (514 nm) of matrix grains from CM and C2-ungrouped chondrites,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Individual representative raw Raman spectra obtained on matrix grains from CM and C2-ungrouped chondrites obtained with a 514 nm laser,mds,True,findable,0,0,0,0,0,2020-08-13T09:31:51.000Z,2020-08-13T09:31:52.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix EET83355,matrix EET96029,matrix LAP02333,matrix MAC88100,matrix MET01072,matrix PCA02012,matrix ALH84033,matrix EET87522,matrix MIL07700,matrix Paris (altered lithology),laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,Raman scattering intensity","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix EET83355'}, {'subject': 'matrix EET96029'}, {'subject': 'matrix LAP02333'}, {'subject': 'matrix MAC88100'}, {'subject': 'matrix MET01072'}, {'subject': 'matrix PCA02012'}, {'subject': 'matrix ALH84033'}, {'subject': 'matrix EET87522'}, {'subject': 'matrix MIL07700'}, {'subject': 'matrix Paris (altered lithology)'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'Raman scattering intensity'}]",['10 spectra'],['ASCII']
-10.26302/sshade/experiment_ak_20141104_1,Mid-infrared attenuated total reflectance experiment with Na+ exchanged less 0.1 Î¼m size fraction of beidellite (SbId-1) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:12:14.000Z,2022-11-04T08:12:15.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Na-exchanged beidellite SbId-1 size-fraction &lt;0.1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-exchanged beidellite SbId-1 size-fraction &lt;0.1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['4 spectra'],['ASCII']
-10.26302/sshade/experiment_fs_20201007_001,Co K edge XAS fluorescence of CoSO4 in buffer for the study of the Iron binding site in the mature and C-terminal regions of wild-type and mutant human frataxin.,SSHADE/FAME (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-02T10:43:10.000Z,2022-11-02T10:43:10.000Z,inist.sshade,mgeg,"commercial,molecular solid solution,Frozen solution of CoSO4,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of CoSO4'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.5645545,Seismic source location with a match field processing approach during the RESOLVE dense seismic array experiment on the Glacier d'Argentiere,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This deposit contains the data set we used in our paper â€˜<em>Dynamic imaging of glacier structures at high-resolution using source localization with a dense seismic array</em>â€™. The paper is in review for GRL and a preprint can be found here: 10.1002/essoar.10507953.1. The dataset present here contains 34 files named â€˜<strong>beam_15423_jd***.h5</strong>â€™. These files correspond to the output of the matched field processing for each day. They are in .h5 format and we provide a matlab code (<strong>read_MFP_data.m</strong>) to read these files. These files can be read with any other language since they are in . h5. In linux you can use <strong>h5dump â€“A filename.h5</strong> and you can see the content of each files. More information on how the MFP process is conducted can be found in on the website dedicated to this aspect or on our paper. The whole procedure and associated codes is provided on the lecoinal.gricad-pages.univ-grenoble-alpes.fr/resolve/. We also deliver with this deposit one day of seismic data <strong>ZO_2018_121.h5 </strong>that can be used to test our MFP process. The data corresponds to the signal measured for 24 hours at each of the 98 sensors with a sampling rate of 500 Hz. More information on these seimsic signals can be found on our website and the whole seimsic dataset can be found here https://seismology.resif.fr/networks/#/ZO__2018. Detailed for downloading the dataset should be search on our website. Other dataset linked to this project are: Nanni, Ugo, Gimbert, Florent, Roux, Phillipe, &amp; Lecointre, Albanne. (2020). DATA of ""Resolving the 2D temporal evolution of subglacial water flow with dense seismic array observations."" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4024660 Nanni, Gimbert, Roux, Helmstetter, Garambois, Lecointre, Walpersdorf, Jourdain, Langlais, Laarman, Lindner, Sergenat, Vincent, &amp; Walter. (2020). DATA of the RESOLVE Project (https://resolve.osug.fr/) [Data set]. In Seismological Research Letters (Version v0). Zenodo. https://doi.org/10.5281/zenodo.3971815 This dataset is also linked to two other study: <em>Observing the subglacial hydrology network and its dynamics with a dense seismic array: </em> https://doi.org/10.1073/pnas.2023757118 <em>A Multiâ€Physics Experiment with a Temporary Dense Seismic Array on the ArgentiÃ¨re Glacier, French Alps: The RESOLVE Project</em> https://doi.org/10.1785/0220200280 Do not hesitate to contact us if you would like to try this approach an another dataset.",mds,True,findable,0,0,0,1,0,2021-11-11T16:15:49.000Z,2021-11-11T16:15:50.000Z,cern.zenodo,cern,"dense seismic array,cryoseismology,subsurface imaging,matched field processing MFP","[{'subject': 'dense seismic array'}, {'subject': 'cryoseismology'}, {'subject': 'subsurface imaging'}, {'subject': 'matched field processing MFP'}]",,
-10.5281/zenodo.10634157,Managing LimeSurvey Data Using R,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"A template for managing LimeSurvey data using R.
-
-You will find:
-
-
-
-The dataset ""20240208_emap_LimeSurvey_R_data_file.csv""
-
-The .Rmd file containing the script ""RMarkdown_LimeSurvey_Template.Rmd""
-
-The .html file of the .Rmd file ""RMarkdown_LimeSurvey_Template.html""
-
-
-The dataset comes from the ""Promoting Physical Activity in People With Chronic Diseases: The Role of Affective Mechanisms"" project.Â ",api,True,findable,0,0,0,0,0,2024-02-12T08:57:53.000Z,2024-02-12T08:57:53.000Z,cern.zenodo,cern,"R,Markdown,Data Management,Open Science,LimeSurvey","[{'subject': 'R'}, {'subject': 'Markdown'}, {'subject': 'Data Management'}, {'subject': 'Open Science'}, {'subject': 'LimeSurvey'}]",,
-10.5281/zenodo.5242859,Spanish DBnary archive in original Lemon format,Zenodo,2021,es,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Spanish language edition, ranging from 17th February 2014 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T07:55:01.000Z,2021-08-24T07:55:02.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.34847/nkl.231c4067,"Sur les chemins et les ponts. ItinÃ©raire des Jeunes Filles, le 19 juin 2019 Ã  RioupÃ©roux",NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,Other,,"""ItinÃ©raire rÃ©alisÃ© dans le cadre du projet de recherche-crÃ©ation Les Ondes de lâ€™Eau : MÃ©moires des lieux et du travail dans la vallÃ©e de la Romanche. AAU-CRESSON (Laure Brayer, direction scientifique) - Regards des Lieux (Laure NicoladzÃ©, direction culturelle). 
-
-Quatre jeunes filles habitent Ã  RioupÃ©roux et se promÃ¨nent ensemble sur les sentiers de la vallÃ©e. Terre de jeux, dâ€™exploration, de dÃ©couvertes... RPX for ever!
-Alors quâ€™au centre du village la fÃªte battaÃ®t son plein, nous les avons accompagnÃ©es sur lâ€™itinÃ©raire dâ€™une de leurs balades habituelles. Des Ponants Ã  la montÃ©e des Clots, du vieux pont qui bouge Ã  la mosquÃ©e bientÃ´t en chantier, des champs de fraises des bois Ã  la piste de luge, nous avons longÃ© la Romanche au rythme de lâ€™enfance et des souvenirs liÃ©s aux gÃ©nÃ©rations passÃ©es.""",api,True,findable,0,0,0,1,0,2022-06-27T09:51:43.000Z,2022-06-27T09:51:43.000Z,inist.humanum,jbru,"loisirs de plein air,DÃ©sertification,Ã‰nergie hydraulique,Plantes sauvages,Romanche, VallÃ©e de la (France),relations familiales,saisons,roman-photo,itinÃ©raire,matÃ©riaux de terrain Ã©ditorialisÃ©s,amitiÃ© -- chez l'adolescent,Glanage,Risque,milieu scolaire,habitudes,mode de vie,vie rurale,FÃªtes religieuses -- Islam,Sports,Promenade,Repas,Histoires de vie,paysage de l'eau,histoire orale,Marche,Sens et sensations,MÃ©moires des lieux,Relations homme-animal,Relations homme-plante","[{'lang': 'fr', 'subject': 'loisirs de plein air'}, {'lang': 'fr', 'subject': 'DÃ©sertification'}, {'lang': 'fr', 'subject': 'Ã‰nergie hydraulique'}, {'lang': 'fr', 'subject': 'Plantes sauvages'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e de la (France)'}, {'lang': 'fr', 'subject': 'relations familiales'}, {'lang': 'fr', 'subject': 'saisons'}, {'lang': 'fr', 'subject': 'roman-photo'}, {'lang': 'fr', 'subject': 'itinÃ©raire'}, {'lang': 'fr', 'subject': 'matÃ©riaux de terrain Ã©ditorialisÃ©s'}, {'lang': 'fr', 'subject': ""amitiÃ© -- chez l'adolescent""}, {'lang': 'fr', 'subject': 'Glanage'}, {'lang': 'fr', 'subject': 'Risque'}, {'lang': 'fr', 'subject': 'milieu scolaire'}, {'lang': 'fr', 'subject': 'habitudes'}, {'lang': 'fr', 'subject': 'mode de vie'}, {'lang': 'fr', 'subject': 'vie rurale'}, {'lang': 'fr', 'subject': 'FÃªtes religieuses -- Islam'}, {'lang': 'fr', 'subject': 'Sports'}, {'lang': 'fr', 'subject': 'Promenade'}, {'lang': 'fr', 'subject': 'Repas'}, {'lang': 'fr', 'subject': 'Histoires de vie'}, {'lang': 'fr', 'subject': ""paysage de l'eau""}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'Marche'}, {'lang': 'fr', 'subject': 'Sens et sensations'}, {'lang': 'fr', 'subject': 'MÃ©moires des lieux'}, {'lang': 'fr', 'subject': 'Relations homme-animal'}, {'lang': 'fr', 'subject': 'Relations homme-plante'}]","['132245194 Bytes', '2577933 Bytes', '115426 Bytes', '452844 Bytes', '1780735 Bytes', '1618527 Bytes', '1563980 Bytes', '1680070 Bytes', '1609421 Bytes', '2038826 Bytes', '1516891 Bytes', '1846355 Bytes', '1671284 Bytes', '1984303 Bytes', '1848460 Bytes', '1510106 Bytes', '1655433 Bytes', '1480786 Bytes', '2068889 Bytes', '1963623 Bytes', '1485998 Bytes', '1552189 Bytes', '1645940 Bytes', '1682036 Bytes', '1465582 Bytes']","['application/pdf', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg']"
-10.17178/emaa_e-(13c)h3oh_rotation_26e2c2d2,Rotation excitation of E-[13C]H3OH by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",13 rotation energy levels / 52 radiative transitions / 71 collisional transitions for para-H2 (20 temperatures in the range 10-200K) / 78 collisional transitions for ortho-H2 (20 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:55.000Z,2023-12-07T15:50:55.000Z,inist.osug,jbru,"target E-[13C]H3OH,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target E-[13C]H3OH', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.5761723,20211206_JGRPlanets_H2GenerationTimescalesEnceladus,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset associated with the study: ""Theoretical considerations on the characteristic timescales of hydrogen generation by serpentinization reactions on Enceladus"" by Daval et al. The code used to provide the estimates reported in Section 7.1 is also available from this archive.",mds,True,findable,0,0,0,1,0,2021-12-16T13:50:29.000Z,2021-12-16T13:50:30.000Z,cern.zenodo,cern,,,,
-10.17178/amma-catch.cl.rain_od,"Precipitation dataset (5 minutes rainfall), over the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the soudanian zone. The aim is to characterize the temporal and spatial variability of rainfall down to the local scale, in some sub-areas of the Oueme basin where process studies are carried on. Data is used in modelling and process studies.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:16.000Z,2018-03-16T15:37:16.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sudanian climate,Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.6506336,Data for Embryo-scale epithelial buckling forms a propagating furrow that initiates gastrulation,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the data and code corresponding to Embryo-scale epithelial buckling forms a propagating furrow that initiates gastrulation, <em>Nature Comms.</em> <strong>13</strong>:3348. <strong>Code</strong> The file Surface_Evolver_script.txt is ... the Surface Evolver script, use with Ken Brakke's Surface Evolver <strong>Data sources</strong> The figure panels are based on the datafiles listed below, visualised either with Ken Brakke's Surface Evolver or with gnuplot 5. When the datafiles listed do not contain the primary data, they contain a commented last line which is the command line for the software datamerge to generate it from other datafiles found in the Data_sources subdirectory. <strong>Figure 1</strong> Fig. 1c : data provided in <code>data_for_Fig_1g.tsv</code> Fig. 1f : visualisation from Surface Evolver file <code>Young100dixPoisson000Step013.dmp</code> Fig. 1g : <code>myosin_profile_us_only.pdf</code> generated with gnuplot script <code>myosin_profile.plot</code> <strong>Figure 2</strong> Fig. 2a : <code>strain_profile_100_0_time_013.pdf</code> generated with gnuplot script <code>strain_profile.plot</code> Fig. 2b : visualisation from Surface Evolver file <code>Young100dixPoisson000Step013.dmp</code> Fig. 2c : <code>stress_profile_100_0_time_013.pdf</code> gnuplot script <code>stress_profile.plot</code> Fig. 2d : visualisation from Surface Evolver file <code>Young100dixPoisson000Step063.dmp</code> <strong>Figure 3</strong> Fig. 3a : <code>myosin_area.pdf</code> generated with gnuplot script <code>area_AP_DV_paper.plot</code> Fig. 3b : <code>area_stripes_t=-1.pdf</code> generated with gnuplot script <code>area_AP_DV_paper.plot</code> Fig. 3c : <code>only_AP_stripes_t=-1.pdf</code> generated with gnuplot script <code>area_AP_DV_paper.plot</code> Fig. 3d : <code>only_DV_stripes_t=-1.pdf</code> generated with gnuplot script <code>area_AP_DV_paper.plot</code> Fig. 3e : visualisation from Surface Evolver file <code>Young100dixPoisson000Step013.dmp Young100dixPoisson000Step063.dmp Young100dixPoisson000Step163.dmp Young100dixPoisson000Step213.dmp</code> <strong>Figure 4</strong> Fig. 4a : visualisation from Surface Evolver file <code>Young100dixPoisson000Step213.dmp</code> Fig. 4b : <code>furrow_propagation.pdf</code> generated with gnuplot script <code>furrow_propagation.plot</code> Fig. 4c : <code>rate_of_furrowing_t=3.pdf</code> generated with gnuplot script <code>furrow_propagation.plot</code> Fig. 4f : <code>curvature.pdf</code> generated with gnuplot script <code>curvature.plot</code> <strong>Figure 5</strong> Fig. 5a : visualisation from Surface Evolver file <code>Young100dixPoisson000Step013.dmp Young100dixPoisson000Step063.dmp Young100dixPoisson000Step113.dmp Young100dixPoisson000Step163.dmp Young100dixPoisson000Step213.dmp</code> Fig. 5b : visualisation from Surface Evolver file <code>Young100dixPoisson000Step013.dmp Young100dixPoisson000Step140.dmp</code> Fig. 5d : <code>stress_laserablations_profile_100_0_time_063.pdf</code> generated with gnuplot script <code>stress_profile_for_laser_ablations.plot</code> Fig. 5e : <code>laser_ablation_recoil.pdf</code> generated with gnuplot script <code>laser_ablation_recoil.plot</code> <strong>Supp Figure 1</strong> Fig. S1a : <code>time_profile_FINI_100_0.pdf</code> generated with gnuplot script <code>time_profile_stress.plot</code> Fig. S1b : visualisation from Surface Evolver file <code>Young100dixPoisson000Step013.dmp</code> Fig. S1d : visualisation from Surface Evolver file <code>Young100dixPoisson000Step063.dmp</code> Fig. S1e : <code>strain_profile_100_0_time_063.pdf</code> gnuplot script <code>strain_profile.plot</code> Fig. S1f : <code>stress_profile_100_0_time_063.pdf</code> gnuplot script <code>stress_profile.plot</code> <strong>Supp Figure 1</strong> Fig. S2a : <code>area_stripes_time_evolution.pdf</code> generated with gnuplot script <code>area_AP_DV_paper.plot</code> Fig. S2b : <code>area_stripes_time_evolution_SPIM.pdf</code> generated with gnuplot script <code>area_AP_DV_paper.plot</code> <strong>Supp Figure 3</strong> Fig. S3a : visualisation from Surface Evolver file <code>Young100dixPoisson000Step213.dmp</code> Fig. S3c : <code>AP_binned_strain.pdf</code> generated with gnuplot script <code>AP_binned_strain.plot</code> Fig. S3d : <code>furrow_propagation_experimental.pdf</code> generated with gnuplot script <code>plot_furrow.plot</code> Fig. S3e : <code>curvature_DV_indiv.pdf</code> generated with gnuplot script <code>curvature.plot</code> Fig. S3f : <code>depth_Gastrulation_ordi_Wild_Type_STITCHED_100_0.pdf</code> generated with gnuplot script <code>depth.plot</code>",mds,True,findable,0,0,0,0,0,2022-04-29T19:00:04.000Z,2022-04-29T19:00:05.000Z,cern.zenodo,cern,,,,
-10.17178/zaa_soil_temp.floresentinelle,Long term monitoring of near surface soil temperature on sereval species and habitats in the French Alps,UGA â€“ OSUG â€“ Flore Sentinnel network,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset",Monitoring of near-surface soil temperature in mountain ecosystems located in the French Alps. Data are part of several projects and monitoring programs examining the impact of climate and climate change on snow beds vegetation and Trifolium saxatile,mds,True,findable,0,0,0,0,0,2021-07-13T13:43:35.000Z,2021-07-13T13:43:36.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/emaa_hd(34s)_rotation_8a51ba80,Rotation excitation of HD[34S] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",36 rotation energy levels / 151 radiative transitions / 630 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 630 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:11.000Z,2023-12-07T15:51:12.000Z,inist.osug,jbru,"target HD[34S],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HD[34S]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.7327824,1971 San Fernando earthquake 3-D coseismic displacement field,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","1971 San Fernando earthquake displacement maps and digital elevation models, produced using aerial photographs taken in 1969 and 1972. Images were acquired from the United States Geological Survey's Center for Earth Resources Observation and Science (EROS; http://earthexplorer.usgs.gov). 1969-1972-EW.tif - east-west displacement map 1969-1972-NS.tif - north-south displacement map 1969-1972-vertical.tif - vertical displacement map 1969-DEM.tif - digital elevation model produced from images acquired in the San Fernando Valley in 1969 1972-DEM.tif - digital elevation model produced from images acquired in the San Fernando Valley in 1972",mds,True,findable,0,0,0,0,0,2022-11-17T07:38:05.000Z,2022-11-17T07:38:06.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3898495,"Data Accompanying ""Fracturing process of concrete under uniaxial and triaxial compression: insights from in-situ x-ray mechanical tests""",Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These are the datasets analysed in ""Fracturing process of concrete under uniaxial and triaxial compression: insights from <em>in-situ</em> x-ray mechanical tests"" by Stamati <em>et. al.</em> (submitted on June 2020 in Cement and Concrete Research) The datasets contain the reconstructed x-ray 3D images of selected tests and the corresponding DVC analysis. Note that details regarding the DVC analysis can be found in the paper. Each folder contains a separate test; uniaxial compression (""<em>C-02""</em>) and triaxial compression at 5MPa (""<em>TX5-01""</em>), 10MPa (""T<em>X10-01</em>"") and 15MPa (""<em>TX15-01</em>"") confining pressures. For each test, folder 01 contains the first scan, where 01 is the reference state for the DVC analyis. Folder 01 also contains the image of the labelled largest aggregates used for the discrete DVC. Folrders 02-XX contain the scans at intermediate loading steps and the corresponding DVC analysis; ""<em>reg</em>"" contains the registration result in downscaled 2-binning images. ""<em>ddic</em>"" contains the discrete DVC computation. ""<em>ldic</em>"" contains the local DVC computation, before and after the merge and filtering of the grid and discrete DVC fields. ""<em>strains</em>"" contains the strain fields coming from the corrected merged DVC field. Folder ""<em>stressStrain</em>"" contains the stress-strain curves measured during the tests after subtracting the displacement corresponding to the loading system. Folder ""<em>doubleScanUniaxial</em>"" contains the two reconstructed images of the ""repeated scan"" of the uniaxial tests, from which the DVC measurement uncertainties were evaluated.",mds,True,findable,20,0,0,0,0,2020-06-18T09:48:30.000Z,2020-06-18T09:48:31.000Z,cern.zenodo,cern,"Concrete,Meso-scale,In-situ x-ray tests,Fracture process,Uniaxial compression,Triaxial compression,Digital Volume Correlation","[{'subject': 'Concrete'}, {'subject': 'Meso-scale'}, {'subject': 'In-situ x-ray tests'}, {'subject': 'Fracture process'}, {'subject': 'Uniaxial compression'}, {'subject': 'Triaxial compression'}, {'subject': 'Digital Volume Correlation'}]",,
-10.6084/m9.figshare.23816832,Supplementary document for Dry powders reflectance model based on enhanced back-scattering: case of hematite Î±-Feâ‚‚Oâ‚ƒ - 6551122.pdf,Optica Publishing Group,2023,,Text,Creative Commons Attribution 4.0 International,Supplemental document.,mds,True,findable,0,0,0,0,0,2023-08-01T16:29:43.000Z,2023-09-01T15:03:20.000Z,figshare.ars,otjm,Uncategorized,[{'subject': 'Uncategorized'}],['11379174 Bytes'],
-10.15778/resif.zi2001,"PLUME - Polynesia Lithosphere and Upper Mantle Experiment, 2001-2005, code ZI, funded by ACI Jeunes Chercheurs, UniversitÃ© de Montpellier II, EOPG Strasbourg",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2007,en,Other,"Open Access,Creative Commons Attribution 4.0 International","PLUME (Polynesian Lithosphere and Upper Mantle Experiment), has the objective of imaging the upper mantle structures beneath French Polynesia. This region of the south Pacific, which is far from any plate boundary, comprises oceanic lithosphere with ages varying between 30 and 100 Ma, as well as two major fracture zones. The area has been affected by a ""swarm"" of volcanic islands chains - the Society Islands, Austral Islands, and Marquesas- that may represent hotspot tracks [Duncan and McDougall, 1976]. The individual hotspots are superimposed on the large South Pacific Superswell [McNutt, 1998]. The region is also characterized by a large-scale, low-velocity anomaly in the lowermost mantle. These observations have been interpreted as evidence of a lower-mantle â€œsuper-plumeâ€ that is at least partially blocked in the transition zone and crowned by several small-scale ""upper mantle"" plumes that give rise to the hot spot tracks observed on the surface. The aim of the PLUME experiment is to characterize the interaction between mantle plumes and lithosphere, to probe the interaction between mantle plumes and the large-scale mantle flow, to image the geometry of plumes in the upper mantle and their eventual connection with the South Pacific super-plume, and to quantify the mass transfers through the transition zone. The PLUME seismic network was composed of 10 broadband stations equipped with STS-2 seismic sensors deployed in the various archipelagos of French Polynesia for the period October 2001 to August 2005. The region under study covers an area equivalent in size to Europe, with a spacing of a few hundreds of kilometers between the temporary stations. The deployment of the PLUME network has been designed to supplement the permanent IRIS (RAR, PTCN, XMAS), Geoscope (PPT, TAOE), and Commissariat Ã  l'Energie Atomique (TBI, RKT, PPTL, TPT) stations available in the region, providing more homogeneous instrument coverage of the entire area. The terrestrial part of the PLUME experiment has been complemented by several ocean bottom deployments of seismic stations by the JAMSTEC group: 8 OBS were deployed over the whole French Polynesia area in 2003-2004, 2 in the vicinity of Tahiti in 2004-2005 and 9 in the vicinity of the Society hotspot in the frame of the TIARES network in 2009-2010 [Suetsugu et al., 2012].",mds,True,findable,0,0,0,12,0,2016-05-18T07:49:24.000Z,2016-05-18T07:49:24.000Z,inist.resif,vcob,"Mantle plume,South Pacific Superplume,Lithosphere and Asthenosphere,Upper and lower mantle tomography,Seismic anisotropy and mantle flow,Body and surface wave seismology,French Polynesia,Society Hotspot,Swell induced microseismic noise","[{'subject': 'Mantle plume'}, {'subject': 'South Pacific Superplume'}, {'subject': 'Lithosphere and Asthenosphere'}, {'subject': 'Upper and lower mantle tomography'}, {'subject': 'Seismic anisotropy and mantle flow'}, {'subject': 'Body and surface wave seismology'}, {'subject': 'French Polynesia'}, {'subject': 'Society Hotspot'}, {'subject': 'Swell induced microseismic noise'}]",,
-10.6084/m9.figshare.c.6690029,3DVizSNP: a tool for rapidly visualizing missense mutations identified in high throughput experiments in iCn3D,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background High throughput experiments in cancer and other areas of genomic research identify large numbers of sequence variants that need to be evaluated for phenotypic impact. While many tools exist to score the likely impact of single nucleotide polymorphisms (SNPs) based on sequence alone, the three-dimensional structural environment is essential for understanding the biological impact of a nonsynonymous mutation. Results We present a program, 3DVizSNP, that enables the rapid visualization of nonsynonymous missense mutations extracted from a variant caller format file using the web-based iCn3D visualization platform. The program, written in Python, leverages REST APIs and can be run locally without installing any other software or databases, or from a webserver hosted by the National Cancer Institute. It automatically selects the appropriate experimental structure from the Protein Data Bank, if available, or the predicted structure from the AlphaFold database, enabling users to rapidly screen SNPs based on their local structural environment. 3DVizSNP leverages iCn3D annotations and its structural analysis functions to assess changes in structural contacts associated with mutations. Conclusions This tool enables researchers to efficiently make use of 3D structural information to prioritize mutations for further computational and experimental impact assessment. The program is available as a webserver at https://analysistools.cancer.gov/3dvizsnp or as a standalone python program at https://github.com/CBIIT-CGBB/3DVizSNP .",mds,True,findable,0,0,0,0,0,2023-06-10T03:21:53.000Z,2023-06-10T03:21:53.000Z,figshare.ars,otjm,"Space Science,Medicine,Genetics,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,80699 Information Systems not elsewhere classified,FOS: Computer and information sciences,Cancer,Plant Biology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '80699 Information Systems not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Plant Biology'}]",,
-10.5281/zenodo.7485725,"Datasets for ""Observation of universal Hall response in strongly interacting Fermions""",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This submission includes the datasets shown in the figures of journal article ""Observation of universal Hall response in strongly interacting Fermions"" by T.-W. Zhou et al., Science (2023). The naming of the files corresponds to the figure numbering in the published article:<br> FIG-x for figures in the main text<br> FIG-Sxx for figures in the Supplementary Materials",mds,True,findable,0,0,0,0,0,2023-07-13T06:50:55.000Z,2023-07-13T06:50:56.000Z,cern.zenodo,cern,"Hall effect,Quantum simulation,Quantum technologies,Condensed Matter Physics,FOS: Physical sciences,Atomic Physics","[{'subject': 'Hall effect'}, {'subject': 'Quantum simulation'}, {'subject': 'Quantum technologies'}, {'subject': 'Condensed Matter Physics'}, {'subject': 'FOS: Physical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Atomic Physics'}]",,
-10.26302/sshade/experiment_pc_20220301_001,V K edge XAS HERFD of V reference compounds 10K,SSHADE/FAME (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-09-01T07:25:09.000Z,2022-09-01T07:25:10.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,oxide,V(V) oxide - V2O5,V(III) oxide - V2O3,V(IV) oxide - V2O4,organic molecular solid,Vanadyl acetylacetonate C10H14O5V,sulfate,Vanadyl sulfate VOSO4.5H2O,Tetraphenyl porphine V(IV) oxide - C44H28N4OV,chloride,V(III) chloride - VCl3,vanadate,Sodium orthovanadate Na3VO4.2H2O,V(III) ammonium sulfate V(III) - NH4V(SO4)2,natural terrestrial,phyllosilicate,Cavansite mineral of V(IV), (Ca(VO)Si4O10.4H2O,Rossite mineral of V(V), CaV2O6.H2O,Pascoite mineral of V(V), Ca3V10O28.17H2O,laboratory,molecular solid solution,Frozen solution of Vanadyl sulfate VOSO4.xH2O solution at pH 2.8 ~ 3000 mg/l of V,Frozen solution of Sodium orthovanadate Na3VO4 solution at pH 12.5 - 5000mg/l of V,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'oxide'}, {'subject': 'V(V) oxide - V2O5'}, {'subject': 'V(III) oxide - V2O3'}, {'subject': 'V(IV) oxide - V2O4'}, {'subject': 'organic molecular solid'}, {'subject': 'Vanadyl acetylacetonate C10H14O5V'}, {'subject': 'sulfate'}, {'subject': 'Vanadyl sulfate VOSO4.5H2O'}, {'subject': 'Tetraphenyl porphine V(IV) oxide - C44H28N4OV'}, {'subject': 'chloride'}, {'subject': 'V(III) chloride - VCl3'}, {'subject': 'vanadate'}, {'subject': 'Sodium orthovanadate Na3VO4.2H2O'}, {'subject': 'V(III) ammonium sulfate V(III) - NH4V(SO4)2'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Cavansite mineral of V(IV), (Ca(VO)Si4O10.4H2O'}, {'subject': 'Rossite mineral of V(V), CaV2O6.H2O'}, {'subject': 'Pascoite mineral of V(V), Ca3V10O28.17H2O'}, {'subject': 'laboratory'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of Vanadyl sulfate VOSO4.xH2O solution at pH 2.8 ~ 3000 mg/l of V'}, {'subject': 'Frozen solution of Sodium orthovanadate Na3VO4 solution at pH 12.5 - 5000mg/l of V'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['14 spectra'],['ASCII']
-10.17178/amma-catch.ce.wchem_od,"Water chemistry dataset (geochemical composition of water), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2002,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Identification of the chemical signature of the different compartments (surface runoff, sub-surface, deep water-tables) contributing to river flow. Hydrograph decomposition by mixing models based on chemical signatures of each compartment involved in stream flow production.",mds,True,findable,0,0,2,1,0,2018-03-16T15:37:08.000Z,2018-03-16T15:37:08.000Z,inist.osug,jbru,"Water chemical composition,Sudanian climate,pH,Nickel,Calcium Ion,Silicon,Vanadium,Boron,Magnesium Ion,Water Temperature,Lead,Arsenic,delta Oxygen-18,Conductivity,Uranium,Aluminium,Chloride Ion,Nitrate Ion,Cobalt,Zinc,delta Deuterium,Potassium Ion,Copper,Rubidium,Lithium,Sulfate Ion,Hydrogen Carbonate Ion,Strontium,Oxygen,Caesium,Barium,Chromium,Molybdenum,Manganese,Sodium Ion","[{'subject': 'Water chemical composition', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'pH', 'subjectScheme': 'var'}, {'subject': 'Nickel', 'subjectScheme': 'var'}, {'subject': 'Calcium Ion', 'subjectScheme': 'var'}, {'subject': 'Silicon', 'subjectScheme': 'var'}, {'subject': 'Vanadium', 'subjectScheme': 'var'}, {'subject': 'Boron', 'subjectScheme': 'var'}, {'subject': 'Magnesium Ion', 'subjectScheme': 'var'}, {'subject': 'Water Temperature', 'subjectScheme': 'var'}, {'subject': 'Lead', 'subjectScheme': 'var'}, {'subject': 'Arsenic', 'subjectScheme': 'var'}, {'subject': 'delta Oxygen-18', 'subjectScheme': 'var'}, {'subject': 'Conductivity', 'subjectScheme': 'var'}, {'subject': 'Uranium', 'subjectScheme': 'var'}, {'subject': 'Aluminium', 'subjectScheme': 'var'}, {'subject': 'Chloride Ion', 'subjectScheme': 'var'}, {'subject': 'Nitrate Ion', 'subjectScheme': 'var'}, {'subject': 'Cobalt', 'subjectScheme': 'var'}, {'subject': 'Zinc', 'subjectScheme': 'var'}, {'subject': 'delta Deuterium', 'subjectScheme': 'var'}, {'subject': 'Potassium Ion', 'subjectScheme': 'var'}, {'subject': 'Copper', 'subjectScheme': 'var'}, {'subject': 'Rubidium', 'subjectScheme': 'var'}, {'subject': 'Lithium', 'subjectScheme': 'var'}, {'subject': 'Sulfate Ion', 'subjectScheme': 'var'}, {'subject': 'Hydrogen Carbonate Ion', 'subjectScheme': 'var'}, {'subject': 'Strontium', 'subjectScheme': 'var'}, {'subject': 'Oxygen', 'subjectScheme': 'var'}, {'subject': 'Caesium', 'subjectScheme': 'var'}, {'subject': 'Barium', 'subjectScheme': 'var'}, {'subject': 'Chromium', 'subjectScheme': 'var'}, {'subject': 'Molybdenum', 'subjectScheme': 'var'}, {'subject': 'Manganese', 'subjectScheme': 'var'}, {'subject': 'Sodium Ion', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.8094516,A Tale of Resilience - Code Artefacts,Zenodo,2023,en,Software,"Creative Commons Attribution 4.0 International,Open Access","C-based implementations and Thumb-2 binaries (Cortex-M3, Cortex-M4) of the AES-128 masked implementations and<br> leakage micro-benchmarks employed in the research article ""A Tale of Resilience: On the Practical Security of Masked Software Implementations"".",mds,True,findable,0,0,0,0,0,2023-07-01T06:52:42.000Z,2023-07-01T06:52:42.000Z,cern.zenodo,cern,"masking,processor micro-architecture,side-channel analysis,software masking","[{'subject': 'masking'}, {'subject': 'processor micro-architecture'}, {'subject': 'side-channel analysis'}, {'subject': 'software masking'}]",,
-10.17178/amma-catch.cl.rain_nig,"Precipitation dataset (5 minutes rainfall), 5 stations in Eastern Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal variability of rainfall at regional scales.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:15.000Z,2018-03-16T15:37:15.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.26302/sshade/experiment_lb_20170726_001,"Mid-IR absorbance spectra of bulk unusual CMs and C2 chondrites in KBr pellets at 22Â°C, 150Â°C and 300Â°C",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR absorbance spectra of 8 bulk unusual CMs and C2 chondrites (Bells, EET96029, Essebi, MIL07700, Niger, PCA02010, PCA91008, WIS91600) at 3 different temperatures: 22Â°C, 150Â°C and 300Â°C",mds,True,findable,0,0,0,0,0,2020-03-18T17:13:22.000Z,2020-03-18T17:13:22.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix PCA02010,complex mineral mix,chondrules PCA02010,CAIs PCA02010,physically adsorbed phase,adsorbed water on PCA02010 bulk,commercial,bromide,KBr,adsorbed water on KBr (Beck14),matrix PCA02010 heated at 150C,matrix PCA91008 IPAG,chondrules PCA91008 IPAG,CAIs PCA91008 IPAG,adsorbed water on PCA91008 bulk,matrix PCA91008 heated at 150C,matrix PCA91008 heated at 300C,matrix MIL07700,chondrules MIL07700,CAIs MIL07700,adsorbed water on MIL07700 bulk,matrix MIL07700 heated at 150C,matrix MIL07700 heated at 300C,matrix EET96029 heated at 150C,chondrules EET96029,CAIs EET96029,adsorbed water on EET96029 bulk,matrix EET96029 heated at 300C,matrix WIS91600,chondrules WIS91600,CAIs WIS91600,adsorbed water on WIS91600 bulk,matrix WIS91600 heated at 150C,matrix WIS91600 heated at 300C,matrix BELLS IPAG,chondrules BELLS IPAG,CAIs BELLS IPAG,adsorbed water on BELLS bulk,matrix BELLS heated at 150C,matrix BELLS heated at 300C,matrix ESSEBI,chondrules ESSEBI,CAIs ESSEBI,adsorbed water on ESSEBI bulk,matrix ESSEBI heated at 150C,matrix ESSEBI heated at 300C,matrix NIGER,chondrules NIGER,CAIs NIGER,adsorbed water on NIGER bulk,matrix NIGER heated at 150C,matrix NIGER heated at 300C,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix PCA02010'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules PCA02010'}, {'subject': 'CAIs PCA02010'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water on PCA02010 bulk'}, {'subject': 'commercial'}, {'subject': 'bromide'}, {'subject': 'KBr'}, {'subject': 'adsorbed water on KBr (Beck14)'}, {'subject': 'matrix PCA02010 heated at 150C'}, {'subject': 'matrix PCA91008 IPAG'}, {'subject': 'chondrules PCA91008 IPAG'}, {'subject': 'CAIs PCA91008 IPAG'}, {'subject': 'adsorbed water on PCA91008 bulk'}, {'subject': 'matrix PCA91008 heated at 150C'}, {'subject': 'matrix PCA91008 heated at 300C'}, {'subject': 'matrix MIL07700'}, {'subject': 'chondrules MIL07700'}, {'subject': 'CAIs MIL07700'}, {'subject': 'adsorbed water on MIL07700 bulk'}, {'subject': 'matrix MIL07700 heated at 150C'}, {'subject': 'matrix MIL07700 heated at 300C'}, {'subject': 'matrix EET96029 heated at 150C'}, {'subject': 'chondrules EET96029'}, {'subject': 'CAIs EET96029'}, {'subject': 'adsorbed water on EET96029 bulk'}, {'subject': 'matrix EET96029 heated at 300C'}, {'subject': 'matrix WIS91600'}, {'subject': 'chondrules WIS91600'}, {'subject': 'CAIs WIS91600'}, {'subject': 'adsorbed water on WIS91600 bulk'}, {'subject': 'matrix WIS91600 heated at 150C'}, {'subject': 'matrix WIS91600 heated at 300C'}, {'subject': 'matrix BELLS IPAG'}, {'subject': 'chondrules BELLS IPAG'}, {'subject': 'CAIs BELLS IPAG'}, {'subject': 'adsorbed water on BELLS bulk'}, {'subject': 'matrix BELLS heated at 150C'}, {'subject': 'matrix BELLS heated at 300C'}, {'subject': 'matrix ESSEBI'}, {'subject': 'chondrules ESSEBI'}, {'subject': 'CAIs ESSEBI'}, {'subject': 'adsorbed water on ESSEBI bulk'}, {'subject': 'matrix ESSEBI heated at 150C'}, {'subject': 'matrix ESSEBI heated at 300C'}, {'subject': 'matrix NIGER'}, {'subject': 'chondrules NIGER'}, {'subject': 'CAIs NIGER'}, {'subject': 'adsorbed water on NIGER bulk'}, {'subject': 'matrix NIGER heated at 150C'}, {'subject': 'matrix NIGER heated at 300C'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['22 spectra'],['ASCII']
-10.26302/sshade/experiment_rc_20191112_000,VIS-NIR reflectance spectra collected during low-temperature and near-vacuum sublimation of compact slabs of salty ice produced by slowly freezing solutions of MgSO4 with three different concentrations,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Compact slabs of salty (MgSO4) ice are produced by slowly freezing small volumes of salt solutions into a laboratory freezer at 230K. The samples are then introduced in the SCITEAS-2 simulations chamber and their slow sublimation at low temperature and in secondary vacuum is followed for several tens of hours by VIS-NIR hyperspectral imaging.,mds,True,findable,0,0,0,0,0,2023-06-09T17:17:08.000Z,2023-06-09T17:17:08.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,water ice,Magnesium(II) sulfate hydrates,laboratory,inorganic molecular solid,sulfate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) sulfate hydrates', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'sulfate', 'subjectScheme': 'compound type'}]",['88 spectra'],['ASCII']
-10.18709/perscido.2020.03.ds300,The VLSAT (Very Large SAT) Benchmark Suite,PerSciDo,2020,en,Dataset,Creative Commons Attribution 4.0 International,"The VLSAT benchmark suite (where ""VL"" stands for ""Very Large"") is a collection of one hundred of SAT formulas to be used as benchmarks in scientific experiments and software competitions. These SAT formulas have been obtained from the automatic conversion into Nested-Unit Petri Nets (NUPNs) of a large collection of Petri nets modelling real-life problems, such as communication protocols and concurrent systems.",fabrica,True,findable,0,0,0,1,0,2020-03-11T16:46:55.000Z,2020-03-11T16:46:56.000Z,inist.persyval,vcob,Computer science,"[{'lang': 'en', 'subject': 'Computer science'}]",['500 MB'],['DIMACS CNF']
-10.26302/sshade/experiment_dt_20170215_000,Pb L3 edge XAS transmission of lead oxide litharge PbO at ambient conditions,SSHADE/FAME (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-10-05T20:40:21.000Z,2022-10-05T20:40:21.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,oxide,PbO,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'oxide'}, {'subject': 'PbO'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.5647786,Kerr reversal in Josephson meta-material and traveling wave parametric amplification datasets,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains raw data for results presented in article ""Kerr reversal in Josephson meta-material and traveling wave parametric amplification"" (Preprint : arXiv:2101.05815). All data is stored in numpy(numpy.org) array format. <strong>Please site any usage to original publication.</strong> <br> # Gain data The data used for generating Fig. 3(a) of main text:<br> <br> - Gain_6_freq contains frequency axis, gain_6 contains corresponding gain data when the device is pumped at 6 GHz<br> <br> - Gain_8_freq contains frequency axis, gain_8 contains corresponding gain data when the device is pumped at 8 GHz<br> <br> - Gain_10_freq contains frequency axis, gain_10 contains corresponding gain data when the device is pumped at 10 GHz <br> # Saturation data The data used for generating Fig. 3(d) of main text: - saturation_6_pow contains input signal power at 6.05 GHz and saturation_6_gain contains gain as a function of the same when device is pumped at 8 GHz. - saturation_9.5_pow contains input signal power at 9.5 GHz and saturation_9.5_gain contains gain as a function of the same when device is pumped at 8 GHz. <br> # Noise data The raw data used for fitting noise performance of the TWPA as depicted in Fig. 4 of main text: - noise_without_TWPA_temperature : contains noise temperature of the amplification chain without TWPA, in<br> Kelvin.<br> - noise_without_TWPA_sys_gain_dB : contains gain of the amplification chain without TWPA, in dB. - noise_freq : contains frequency axis for the measured PSD. - noise_thermal_source_temperature : contains temperature data of the thermal noise source. - noise_with_TWPA_PSD_vs_thermal_source_temperature : contains PSD measured with 200 MHz RBW as a function<br> of frequency and temperature of thermal noise source. <br> # Transmission data Normalized transmission through the device. - transmission_flux : contains quantized flux axis for the measured transmission. - transmission_freq : contains frequency axis for the measured transmission. - transmission : contains transmission as a function of frequency and quantized flux, in dB. <br> # Dispersion data Dispersion through the device. - dispersion_freq : contains frequency axis for the measured dispersion. - dispersion_phase_PCB : contains phase accumulation when RF switch is in PCB position as a function of<br> frequency, in radians.<br> - dispersion_flux_mA : contains flux axis for the measured dispersion, in mA. - dispersion_phase_device : contains phase accumulation when RF switch is in device position as a function<br> of frequency and flux, in radians.",mds,True,findable,0,0,0,0,0,2021-12-02T18:17:16.000Z,2021-12-02T18:17:17.000Z,cern.zenodo,cern,,,,
-10.34847/nkl.2404plkh,Parcourir la ville : un jeu d'enfants,NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,fr,Other,,"Livret rÃ©alisÃ© pour le Forum Mobi'Kids intitulÃ© Â« lâ€™enfant autonome au dÃ©fi de la ville Â» (juillet 2022, Rennes) dans le cadre de la recherche Mobikids - Le rÃ´le des cultures Ã©ducatives urbaines (CEU) dans l'Ã©volution des mobilitÃ©s quotidiennes et des contextes de vie des enfants. Collecte et analyse de traces gÃ©olocalisÃ©es et enrichies sÃ©mantiquement 2017-2021 (ANR-16-CE22-0009). 
-Equipe : 
-Responsable scientifique. DEPEAU Sandrine 
-Laboratoires, entreprises impliquÃ©s : ESO-Rennes, UMR Pacte,  UMR AAU, LIFAT, PME Alkante, PME RF Track,
-Pour l'Ã©quipe AAU-CRESSON : THIBAUD Jean-Paul, MANOLA ThÃ©a, MCOISANS juL, AUDAS Nathalie
-
-Cette fiction sâ€™inspire de lâ€™enquÃªte menÃ©e auprÃ¨s des enfants ayant rÃ©alisÃ© des parcours commentÃ©s entre lâ€™Ã©cole et le domicile. Les deux personnages ainsi crÃ©Ã©s, Camille et Sacha, Ã©voquent des moments de vie, des anecdotes, des maniÃ¨res de faire, des formes dâ€™attention, repÃ©rÃ©s chez diffÃ©rents enfants et sont racontÃ©s comme une histoire pour faire ressortir sous une forme originale les principales tendances et rÃ©sultats obtenus au cours de cette recherche. 
-
-Deux enfants racontent leurs dÃ©placements quotidiens entre lâ€™Ã©cole et le domicile. A travers leurs Ã©changes, nous dÃ©couvrons la ville Ã  hauteur dâ€™enfants au travers des espaces parcourus, seul.e ou accompagnÃ©.e. Ils Ã©voquent ce quâ€™ils aiment faire ou non sur ce trajet, ce dont ils ont peur, ce qui les attire ou les repousse. Apparaissent aussi les recommandations et autres conseils ou avertissements parentaux. Par le rythme de leurs dÃ©placements, leurs choix de cheminements, le besoin dâ€™Ãªtre et de jouer avec les copains/copines, leurs descriptions des environnements traversÃ©s, se dessinent les expÃ©riences urbaines enfantines.",api,True,findable,0,0,0,0,1,2023-03-10T14:31:23.000Z,2023-03-10T14:31:23.000Z,inist.humanum,jbru,"mobilitÃ© quotidienne,enfant,autonomie,rÃ©cit personnel,amitiÃ©--chez l'enfant,sens et sensations,perception du risque,Villes -- Sons, environnement sonore,mobilitÃ© spatiale,itinÃ©raire,matÃ©riaux de terrain Ã©ditorialisÃ©s,rÃ©cit-fiction","[{'lang': 'fr', 'subject': 'mobilitÃ© quotidienne'}, {'lang': 'fr', 'subject': 'enfant'}, {'lang': 'fr', 'subject': 'autonomie'}, {'lang': 'fr', 'subject': 'rÃ©cit personnel'}, {'lang': 'fr', 'subject': ""amitiÃ©--chez l'enfant""}, {'lang': 'fr', 'subject': 'sens et sensations'}, {'lang': 'fr', 'subject': 'perception du risque'}, {'lang': 'fr', 'subject': 'Villes -- Sons, environnement sonore'}, {'lang': 'fr', 'subject': 'mobilitÃ© spatiale'}, {'lang': 'fr', 'subject': 'itinÃ©raire'}, {'lang': 'fr', 'subject': 'matÃ©riaux de terrain Ã©ditorialisÃ©s'}, {'lang': 'fr', 'subject': 'rÃ©cit-fiction'}]",['6347927 Bytes'],['application/pdf']
-10.5281/zenodo.7993122,"Nano bubbles: how, when and why does science fail to correct itself?",Zenodo,2023,en,Other,"Creative Commons Attribution 4.0 International,Open Access","<em>The document is the part B2a (State-of-the-art and objectives) and B2b (Methodology</em>) <em>of the NanoBubbles ERC Synergy grant application submitted 05/11/2019 for the ERC-2020-SyG call. It was funded and started on 01/06/2021. The abstract of the submitted proposal is copied below.</em> Science relies on the correction of errors to advance, yet in practice scientists find it difficult to erase erroneous and exaggerated claims from the scientific record. Recent discussion of a â€œreplication crisisâ€ has impaired trust in science both among scientists and non-scientists; yet we know little about how non-replicated or even fraudulent claims can be removed from the scientific record. This project combines approaches from the natural, engineering, and social sciences and the humanities (Science and Technology Studies) to understand how error correction in science works and what obstacles it faces, and stages events for scientists to reflect on error and overpromising.<br> The projectâ€™s focus is nanobiology, a highly interdisciplinary field founded around the year 2000 that has already seen multiple episodes of overpromising and promotion of erroneous claims. We examine three such â€œbubblesâ€: the claim that nanoparticles can cross the blood-brain barrier; that nanoparticles can penetrate the cell membrane; and the promotion of the â€œprotein coronaâ€ concept to describe ordinary adsorption of proteins on nanoparticles. Findings based on error (non)correction in nanobiology should be generalizable to other new, highly interdisciplinary fields such as synthetic biology and artificial intelligence.<br> We trace claims and corrections in various channels of scientific communication (journals, social media, advertisements, conference programs, etc.) via innovative digital methods. We examine error (non)correction practices in scientific conferences via ethnographic participant-observation. We follow the history of conferences, journals, and other sites of error (non)correction from the 1970s (before nanobio per se existed) to the present. And we attempt to replicate nanobiological claims and, in case of non-replication, document obstacles to correcting those claims. Finally, we will spark a dialogue within the nanobiology community by organizing workshops and events at conferences for practitioners. Through the study and practice of nanobiology, we will analyse how, when and why science fails to correct itself, and explore ways to improve the reliability and efficiency of the scientific process.",mds,True,findable,0,0,0,0,0,2023-06-02T11:21:01.000Z,2023-06-02T11:24:51.000Z,cern.zenodo,cern,"Grant application,ERC Synergy,Machine learning,Science and technology studies,History of science, medicine and technologies,Nanobiotechnology,Statistical data processing,Digital social research","[{'subject': 'Grant application'}, {'subject': 'ERC Synergy'}, {'subject': 'Machine learning'}, {'subject': 'Science and technology studies'}, {'subject': 'History of science, medicine and technologies'}, {'subject': 'Nanobiotechnology'}, {'subject': 'Statistical data processing'}, {'subject': 'Digital social research'}]",,
-10.5281/zenodo.3874714,Raw diffraction data for [NiFeSe] hydrogenase G491A variant pressurized with O2 gas - dataset G491A-O2,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID30A-3 on September 27, 2017. N.B. Image files 1416-1419 are damaged and cannot be used for integration.",mds,True,findable,0,0,0,0,0,2020-06-03T13:56:40.000Z,2020-06-03T13:56:41.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
-10.6084/m9.figshare.22075664,Supplementary document for Dry powders reflectance model based on enhanced back-scattering: case of hematite Î±-Feâ‚‚Oâ‚ƒ - 6292687.pdf,Optica Publishing Group,2023,,Text,Creative Commons Attribution 4.0 International,Supplementary model information and results,mds,True,findable,0,0,0,0,0,2023-07-26T13:41:37.000Z,2023-09-01T15:03:20.000Z,figshare.ars,otjm,Uncategorized,[{'subject': 'Uncategorized'}],['14116626 Bytes'],
-10.18709/perscido.2024.02.ds406,Experimental data used in the article Behavioral transition of a fish school in a crowded environment,PerSCiDO,2024,,Dataset,,This dataset contains the raw data of the experiments described in the article Behavioral transition of a fish school in a crowded environment. There is one file for each pillar densities. Each files contains the data related to fish from several experiments.,api,True,findable,0,0,0,1,0,2024-02-09T15:57:16.000Z,2024-02-09T15:57:16.000Z,inist.persyval,vcob,"Physics,Biology","[{'subject': 'Physics', 'subjectScheme': 'http://www.radar-projekt.org/display/Physics'}, {'subject': 'Biology', 'subjectScheme': 'http://www.radar-projekt.org/display/Biology'}]",['100 Mo'],['TSV']
-10.5281/zenodo.10229534,Research compendium to reproduce analyses and figures of the article:  Interspecific interactions influence bird population responses to global changes by GaÃ¼zÃ¨re et al. submitted in Ecology Letters,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,"Research compendium to reproduce analyses and figures of the article:
-_Interspecific interactions influence bird population responses to global changes_
-by GaÃ¼zÃ¨re _et al._ submitted in _Ecology Letters_
-Â 
-#' Compendium authors
-#' @author Pierre GaÃ¼zÃ¨re, \email{pierre.gauzere@@gmail.com},
-Â 
-## General
-Â 
-Â This repository is structured as follow:
-Â 
-Â - `data/`: contains data required to reproduce figures and tables
-Â - `analyses/`: contains scripts organized sequentially. prepare data -> run model -> vizualize model outputs -> ..
-Â - `outputs/`: follows the structure of analyses. Contains intermediate numeric
-Â results used to produce the figures
-Â - `figures_tables/`: Contains the figures of the paper
-Â 
-## Figures & tables
-Â 
-Â Figures will be stored in `figures_tables/`.
-Â Tables will be stored in `outputs/`.",api,True,findable,0,0,0,0,0,2023-11-30T15:03:09.000Z,2023-11-30T15:03:09.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_dt_20170706_003,Fe K edge XAS transmission of synthetic fayalite Fe2SiO4 at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-15T20:29:33.000Z,2019-11-15T20:29:33.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,nesosilicate,Synthetic fayalite,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'nesosilicate'}, {'subject': 'Synthetic fayalite'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.7780496,"Datasets supporting for ""Further insight into the involvement of PII1 in starch granule initiation in Arabidopsis leaf chloroplasts.""",Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The folder contains data to support the paper entitled "" Further insight into the involvement of PII1 in starch granule initiation in Arabidopsis leaf chloroplasts."" The folder named ""MEB pictures"" contains all pictures that were used to determine starch granule size (only granules with visible major axis were measured. The folder named ""confocal microscopy"" contains the files used to determine starch granule number per plastid. it contains one folder for plants in Ws genetic background and another folder for plants in Col-0 genetic background.",mds,True,findable,0,0,0,0,0,2023-03-29T09:54:48.000Z,2023-03-29T09:54:49.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.6250158,Expiratory high-frequency percussive ventilation: a novel concept for improving gas exchange,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Although high-frequency percussive ventilation (HFPV) improves gas exchange, concerns remain about tissue overdistension caused by the oscillations and consequent lung damage. We compared a modified percussive ventilation modality created by superimposing high-frequency oscillations to the conventional ventilation waveform during expiration only (eHFPV) with conventional mechanical ventilation (CMV) and standard HFPV. Methods Hypoxia and hypercapnia were induced by decreasing the frequency of CMV in New Zealand White rabbits (n = 10). Following steady-state CMV periods, percussive modalities with oscillations randomly introduced to the entire breathing cycle (HFPV) or to the expiratory phase alone (eHFPV) with varying amplitudes (2 or 4 cmH2O) and frequencies were used (5 or 10 Hz). The arterial partial pressures of oxygen (PaO2) and carbon dioxide (PaCO2) were determined. Volumetric capnography was used to evaluate the ventilation dead space fraction, phase 2 slope, and minute elimination of CO2. Respiratory mechanics were characterized by forced oscillations. Results The use of eHFPV with 5 Hz superimposed oscillation frequency and an amplitude of 4 cmH2O enhanced gas exchange similar to those observed after HFPV. These improvements in PaO2 (47.3 Â± 5.5 vs. 58.6 Â± 7.2 mmHg) and PaCO2 (54.7 Â± 2.3 vs. 50.1 Â± 2.9 mmHg) were associated with lower ventilation dead space and capnogram phase 2 slope, as well as enhanced minute CO2 elimination without altering respiratory mechanics. Conclusions These findings demonstrated improved gas exchange using eHFPV as a novel mechanical ventilation modality that combines the benefits of conventional and small-amplitude high-frequency oscillatory ventilation, owing to improved longitudinal gas transport rather than increased lung surface area available for gas exchange.",mds,True,findable,0,0,0,0,0,2022-10-16T03:12:42.000Z,2022-10-16T03:12:43.000Z,figshare.ars,otjm,"Biophysics,Space Science,Medicine,Physiology,FOS: Biological sciences,Biotechnology,Cancer","[{'subject': 'Biophysics'}, {'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}]",,
-10.6084/m9.figshare.25097340,Additional file 1 of The methodology of quantitative risk assessment studies,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 1:Â Figure S1.Illustration of the structure of a health impact assessment tool allowing quantification of the number of deaths preventable through compliance with recommendations regarding physical activity, air pollution, noise, heat and access to green spaceÂ [36].",mds,True,findable,0,0,96,0,0,2024-01-28T04:40:08.000Z,2024-01-28T04:40:08.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Environmental Sciences not elsewhere classified,Chemical Sciences not elsewhere classified,Sociology,FOS: Sociology,Developmental Biology,Cancer,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['302967 Bytes'],
-10.17178/cryobsclim.cdp.2018.soil,"Col de Porte, Soil properties",CNRS - OSUG - Meteo France,2008,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019.  The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP  (CRYosphere, an OBServatory of the CLIMate â€“ Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:38.000Z,2018-07-19T07:28:08.000Z,inist.osug,jbru,Soil properties,"[{'subject': 'Soil properties', 'subjectScheme': 'main'}]",,['CSV']
-10.17178/amma-catch.pa.met_snns,"Meteorological dataset (including radiative budget), in the Niakhar site (Faidherbia-Flux station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Document atmospheric forcing. Contribute to the Faidherbia-Flux flux station.,mds,True,findable,0,0,1,0,0,2022-12-09T16:47:54.000Z,2022-12-09T16:47:54.000Z,inist.osug,jbru,"Meteorology, radiative budget,Sahelian climate,Relative Humidity at height 2 m,Air Temperature at height 20 m,Wind Direction at height 20 m,Net Radiation at height 20 m,Wind Speed at height 4.5 m,Total Photosynthetically Active Radiation at height 20 m,Wind Speed at height 20 m,Air Pressure at height 20 m,Air Temperature at height 2 m,Precipitation Amount,Relative Humidity at height 20 m","[{'subject': 'Meteorology, radiative budget', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Relative Humidity at height 2 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Wind Direction at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Net Radiation at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Total Photosynthetically Active Radiation at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Wind Speed at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Air Pressure at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Air Temperature at height 2 m', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity at height 20 m', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.6084/m9.figshare.22620043,"Additional file 5 of Biallelic variants in NOS3 and GUCY1A3, the two major genes of the nitric oxide pathway, cause moyamoya cerebral angiopathy",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 5: Quantitative PCR results comparing relative expression of NOS3 mRNA in cells transfected with the wild type and with the M035 mutated cDNA.,mds,True,findable,0,0,0,0,0,2023-04-13T14:39:35.000Z,2023-04-13T14:44:39.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['14233 Bytes'],
-10.17178/emaa_dcn_hyperfine_0b4f7ab6,Hyperfine excitation of DCN by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 hyperfine energy levels / 33 radiative transitions / 171 collisional transitions for para-H2 (6 temperatures in the range 5-30K) / 165 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:23.000Z,2022-02-07T11:24:24.000Z,inist.osug,jbru,"target DCN,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.1462854,The Fharvard corpus,Zenodo,2018,fr,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","The Fharvard corpus is a collection of 700 sentences in French, phonetically balanced into 70 lists of 10 sentences each. Each sentence contains 5 keywords for scoring. A detailed presentation and evaluation of this dataset can be found at: https://doi.org/10.1016/j.specom.2020.07.004 The list of sentences is contained in the file <strong>The Fharvard corpus.pdf</strong> with keywords in bold. The phonetic transcription is provided in <strong>The Fharvard corpus - phonetic.txt</strong>. The <em>ortho</em> column contains the orthographic representation of the sentence with keywords in capital letters. The <em>phono</em> column contains the phonetic representation in SAMPA coding, with words separated by two successive space characters. Note that the phonetic representation is provided on an individual word basis, that is, discarding word-to-word liaisons. This is to provide an unambiguous basis for phonetic balancing at the keyword level, as the realisation of some liaisons can vary from talker to talker. Audio recordings of the Fharvard sentences spoken by a female and a male talker are contained in the .zip archive files, and available with a 44.1 kHz and 16 kHz sampling rate. A sample sentence for the female and the male talker is also attached.",mds,True,findable,0,0,0,0,0,2018-10-30T15:23:07.000Z,2018-10-30T15:23:08.000Z,cern.zenodo,cern,"French,Speech in Noise,Speech Intelligibility","[{'subject': 'French'}, {'subject': 'Speech in Noise'}, {'subject': 'Speech Intelligibility'}]",,
-10.5061/dryad.n5tb2rbx9,Plant community impact on productivity: trait diversity or key(stone) species effects?,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Outside controlled experimental plots, the impact of community attributes on primary productivity has rarely been compared to that of individual species. Here, we identified plant species of high importance for productivity (key species) in &gt;29,000 diverse grassland communities in the European Alps, and compared their effects with those of community-level measures of functional composition (weighted means, variances, skewness, and kurtosis). After accounting for the environment, the five most important key species jointly explained more deviance of productivity than any measure of functional composition alone. Key species were generally tall with high specific leaf areas. By dividing the observations according to distinct habitats, the explanatory power of key species and functional composition increased and key-species plant types and functional composition-productivity relationships varied systematically, presumably because of changing interactions and trade-offs between traits. Our results advocate for a careful consideration of speciesâ€™ individual effects on ecosystem functioning in complement to community-level measures.",mds,True,findable,204,27,0,1,0,2022-01-20T21:27:27.000Z,2022-01-20T21:27:29.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['180222293 bytes'],
-10.5061/dryad.m0cfxpp06,Generalist plants are more competitive and more functionally similar to each other than specialist plants: insights from network analyses,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Aim: Ecological specialization is a property of species associated with the variety of contexts they occupy. Identifying the mechanisms influencing specialization is critical to understand species coexistence and biodiversity patterns. However, the functional attributes leading to specialization are still unknown. Similarly, there is contrasting evidence between the level of specialization and local abundance of species. We ask whether plant specialist and generalist species (i) are associated with distinct functional profiles, using core plant functional traits and strategies, (ii) show comparable functional variation, and how (iii) they perform at local scale. Location: France, Countrywide scale. Taxon: Herbaceous plants. Results: We identified five major modules in the bipartite network, related to different environmental conditions and composed of species displaying different functional attributes. Species that were more specialist were less competitive, had smaller stature, higher stress-tolerance and stronger resource conservation, while generalist species were taller. Generalists were also more similar among themselves than specialists. In addition, specialist species had higher local abundances and occurred in communities with plants of similar height. Main conclusions: We found distinctive functional signatures of specialist and generalist species in grassland communities across diverse environments at regional and community scales. Network metrics can benefit community ecology to test classical macro-ecological hypotheses by identifying distinct ecological unit at large scale and quantifying the links developed by species.",mds,True,findable,176,10,0,0,0,2020-03-07T01:04:08.000Z,2020-03-07T01:04:10.000Z,dryad.dryad,dryad,"bipartite network,generalist species,Specialist species","[{'subject': 'bipartite network'}, {'subject': 'generalist species'}, {'subject': 'Specialist species'}]",['390825783 bytes'],
-10.48380/zc5e-4m51,Insight into formation of hydrothermal ore deposits using a hydrothermal autoclave and X-ray absorption spectroscopy,Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2022,en,Text,,"<p>Hydrothermal fluids play an important role during the formation of most economically explored ore deposits. While cycling through the crust these supercritical fluids efficiently dissolve and transport metals from the source rocks; metal-rich minerals precipitate on their way towards the Earthâ€™s surface. In general, compositions of hydrothermal ore fluids are well known, e.g., by analyzing fluid inclusions in ore minerals. However, because sources and physiochemical characteristics of hydrothermal fluids vary widely, complexation and speciation of metals in the fluid and precipitation mechanisms of ore minerals are still matter of controversial debates. Conclusions on metal complexation and speciation in the fluids are usually based on analysis of quench experiments that do not consider the probably non-quenchable nature of hydrothermal metal complexes e.g., as previously reported for gold (Pokrovski et al., 2015). Thus, reliable information on metal complexation and speciation during ore deposit formation can only be obtained using in-situ data. </p>
-<p>Here, we present an autoclave dedicated to in-situ characterization of hydrothermal fluids at high pressures and temperatures at Deutsches Elektronen-Synchrotron (Klemme et al., 2021). Besides discussing details of the experimental set-up we will also focus on results of two ongoing projects dedicated to formation of W and Sn hydrothermal ore deposits. </p>
-<p>G. Pokrovski et al., PNAS 112 (44), 2015; Klemme et al., Rev Sci Instr, 92, 2021</p>
-<p>Funding: Bundesministerium fÃ¼r Bildung und Forschung (BMBF) grant FKZ 05K16PMA, DESY Center for Molecular Water Science - Early Science Project.</p>
-",api,True,findable,0,0,0,0,0,2023-05-31T14:12:43.000Z,2023-05-31T14:12:43.000Z,mcdy.dohrmi,mcdy,,,,
-10.5281/zenodo.6956953,Catalog of microseismicity related to the Alto-Tiberina Fault,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This template matching catalog contains information about new detected seismicity as the origin time (ot), latitude (lat_temp), longitude (lon_temp), depth (depth_tep), magnitude (mag), origin time of the template that can be used as the event_id (ot_template), the ratio between the average correlation coefficient (CC) and the daily median absolute deviation of the averaged CCs, as an indication for the quality of a detection (cc_mad_ratio), and an indication about the origin as some of the detection's seem to be related to human induced activity (hum_ind). Detailed information about the template matching processing can be gained from <strong>Spatio-temporal evolution of the</strong><strong> Seismicity in the Alto Tiberina Fault System revealed by a High-Resolution Template Matching Catalog</strong> by Essing &amp; Poli (2022)",mds,True,findable,0,0,0,0,0,2022-08-03T09:20:55.000Z,2022-08-03T09:20:56.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.9s4mw6mm3,Data and code from: The functional trait distinctiveness of plant species is scale dependent,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Beyond the local abundance of species, their functional trait distinctiveness is now recognized as a key driver of community dynamics and ecosystem functioning. Yet, since the functional distinctiveness of a species is always relative to a given species pool, a species distinct at the regional scale might not necessarily be distinct at the local or community scale, and reciprocally. To assess the importance of scale (i.e the definition of a species pool) when quantifying the functional distinctiveness of species, and how it might distort the ecological conclusions derived from it, we quantified trait distinctiveness of 1,350 plant species at regional, local, and community scales over ca. 88 000 grassland plots in France. We measured differences in functional distinctiveness of species between regional, local and community scales and tested the influence of environmental predictors (climate and nitrogen input) and contexts (environmental distinctiveness, frequency, and heterogeneity) on these variations. In line with theoretical expectations, we found large variations of functional distinctiveness (in particular between regional and community scales) for many species, with a general tendency of lower distinctiveness at smaller scales. We also showed that nitrogen input â€“ a key aspect of high land use intensity â€“ and environmental frequency partly explained the differences between local and regional scales only. These results suggest the role played by environmental filtering on species' distinctiveness at the local scale, but the determinant of distinctiveness variations at the community scale still needs to be elucidated. Our study provides robust empirical evidence that measures of ecological originality are strongly scale-dependent. We urge ecologists to carefully consider the scale at which they measure distinctiveness, as ignoring scale dependencies could lead to biased (or even entirely wrong) conclusions when not considered at the scale of interest for the respective research question.",mds,True,findable,133,19,0,1,0,2022-11-30T16:02:24.000Z,2022-11-30T16:02:24.000Z,dryad.dryad,dryad,"Ecological originality,Leaf traits,Community ecology,trait-based ecology,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences","[{'subject': 'Ecological originality'}, {'subject': 'Leaf traits'}, {'subject': 'Community ecology', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'trait-based ecology'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['222453930 bytes'],
-10.6084/m9.figshare.24030816,Additional file 1 of Pneumocystis jirovecii pneumonia in intensive care units: a multicenter study by ESGCIP and EFISG,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Supplementary tables S1-S6 and supplemtary figures S1-S6.,mds,True,findable,0,0,0,0,0,2023-08-25T03:21:16.000Z,2023-08-25T03:21:17.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy,Mental Health,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",['680816 Bytes'],
-10.26302/sshade/experiment_op_20201112_001,Cu K edge XAS fluorescence of Cu(II) in solution at 10K,SSHADE/FAME (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-02-09T07:55:49.000Z,2021-02-09T07:55:50.000Z,inist.sshade,mgeg,"laboratory,molecular solid solution,Frozen solution of CuSO4â€¢n(H2O),Frozen solution of CuSO4â€¢n(H2O) with glycerol,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of CuSO4â€¢n(H2O)'}, {'subject': 'Frozen solution of CuSO4â€¢n(H2O) with glycerol'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['2 spectra'],['ASCII']
-10.34847/nkl.9f85iol5,Analysis of the relevance of the deployment of ICARE systems with regard to the photovoltaic potential of the roofs of the La Madeleine district in Nantes (France),NAKALA - https://nakala.fr (Huma-Num - CNRS),2021,en,ComputationalNotebook,,"This notebook has been produced in the context of the AVIDON research project which associates the two laboratories AAU and LIRMM. It aims at analysing the potentialities of the IRIS ""La Madeleine"", a district of the city centre of Nantes (France), in the perspective of a massive deployment of the ICARE device*. The more precise objective of this very preliminary work is to evaluate the photovoltaic potential of the neighbourhood's roofs on the one hand and, on the other hand, to estimate the energy demand of households to operate digital devices. AVIDON is a follow-up of the ISORE PEPS project funded by CNRS, associating the same partner laboratories.
-
-* G. Sassatelli, A. GamatiÃ© and M. Robert, Â« SystÃ¨me de traitement de donnÃ©es avec transfert dâ€™Ã©nergie Â», patent nÂ° 1653238, 2016, https://patents.google.com/patent/WO2017178571A1.",api,True,findable,0,0,0,0,0,2021-10-21T09:52:22.000Z,2021-10-21T09:52:22.000Z,inist.humanum,jbru,"Photovoltaic potential of roofs,Energy demand for household IT equipment,Spatial analysis (Statistics)","[{'lang': 'en', 'subject': 'Photovoltaic potential of roofs'}, {'lang': 'en', 'subject': 'Energy demand for household IT equipment'}, {'lang': 'en', 'subject': 'Spatial analysis (Statistics)'}]","['1070287 Bytes', '793780 Bytes']","['text/plain', 'application/pdf']"
-10.5281/zenodo.6683741,Scripts generating maps and boxplots for extracted propositions from the French Great National Debate (Grand DÃ©bat National),Zenodo,2022,fr,Software,"Creative Commons Attribution 4.0 International,Open Access","This floder provides scripts to build maps and draw boxplots, to represent extracted propositions from the French Great National Debate (Grand DÃ©bat National) : - Dicogeo.R is a script which build the socio-economic descriptions of municipalities, based on several other files, - gÃ©nÃ©ration_map_grand_dÃ©bat.py is a script which build maps to represent extracted propositions from the French Great National Debate (Grand DÃ©bat National), - graphiques.R is a script which generates bowplots crossing extracted propositions and socio-economic features.",mds,True,findable,0,0,3,0,0,2022-06-22T08:40:54.000Z,2022-06-22T08:40:55.000Z,cern.zenodo,cern,"https://fr.wikipedia.org/wiki/Grand_d%C3%A9bat_national,https://fr.wikipedia.org/wiki/Transport","[{'subject': 'https://fr.wikipedia.org/wiki/Grand_d%C3%A9bat_national', 'subjectScheme': 'url'}, {'subject': 'https://fr.wikipedia.org/wiki/Transport', 'subjectScheme': 'url'}]",,
-10.17178/emaa_c2h_hyperfine_e0d01d58,Hyperfine excitation of C2H by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",38 hyperfine energy levels / 94 radiative transitions / 702 collisional transitions for para-H2 (30 temperatures in the range 10-300K) / 703 collisional transitions for ortho-H2 (30 temperatures in the range 10-300K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:40.000Z,2023-12-07T15:50:41.000Z,inist.osug,jbru,"target C2H,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C2H', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.4947841,PACE 2021 Kernelization track,Zenodo,2021,,Software,"Creative Commons Attribution 4.0 International,Open Access",These are the sources of the PaSTEC solver for the kernelization track of the PACE 2021 challenge.,mds,True,findable,0,0,0,0,0,2021-06-14T19:09:05.000Z,2021-06-14T19:09:06.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_para-nh2d_hyperfine_f7886cfc,Hyperfine excitation of para-NH2D by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 90 radiative transitions / 276 collisional transitions for para-H2 (7 temperatures in the range 5-50K),mds,True,findable,0,0,0,0,0,2021-11-17T14:02:11.000Z,2021-11-17T14:02:12.000Z,inist.osug,jbru,"target para-NH2D,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-NH2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5061/dryad.tdz08kq5j,Supporting information for: Accounting for the topology of road networks to better explain human-mediated dispersal in terrestrial landscapes,Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"Human trade and movements are central to biological invasions worldwide. Human activities not only transport species across biogeographical barriers but also accelerate their post-introduction spread in the landscape. Thus, by constraining human movements, the spatial structure of road networks might greatly affect the regional spread of invasive species. However, few invasion models have accounted for the topology of road networks so far, and its importance for explaining the regional distribution of invasive species remains mostly unexplored. To address this issue, we developed a spatially explicit and mechanistic human-mediated dispersal model that accounts and tests for the influence of transport networks on the regional spread of invasive species. Using as a model the spread of the invasive ant Lasius neglectus in the middle RhÃ´ne valley (France), we show that accounting for the topology of road networks improves our ability to explain the current distribution of the invasive ant. In contrast, we found that using human population density as a proxy for the frequency of transport events decreases modelsâ€™ performance and might thus not be as appropriate as previously thought. Finally, by differentiating road networks into sub-networks, we show that national and regional roads are more important than smaller roads for explaining spread patterns. Overall, our results demonstrate that the topology of transport networks can strongly bias regional invasion patterns and highlight the importance of better incorporating it into future invasion models. The mechanistic modelling approach developed in this study should help invasion scientists explore how human-mediated dispersal and topography shape invasion dynamics in landscapes. Ultimately, our approach could be combined with demographic, natural dispersal and environmental suitability models to refine spread scenarios and improve invasive species monitoring and management at regional to national scales.",mds,True,findable,70,2,0,0,0,2023-11-13T22:32:05.000Z,2023-11-13T22:32:07.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,biological invasions,human-mediated dispersal,secondary spread,spatially explicit model,stochastic jump model,road network","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'biological invasions'}, {'subject': 'human-mediated dispersal'}, {'subject': 'secondary spread'}, {'subject': 'spatially explicit model'}, {'subject': 'stochastic jump model'}, {'subject': 'road network'}]",['25035773 bytes'],
-10.57745/3d4dfw,"Stream concentrations of micropollutants in the CladuÃ¨gne, ArdÃ¨che",Recherche Data Gouv,2023,,Dataset,,"Stream concentrations of different organic micropollutants at different times and locations throughout the CladuÃ¨gne catchment in ArdÃ¨che. The data include mainly human and veterinary pharmaceuticals. The analyzed molecules are: Atenolol, Bisoprolol, Caffeine, Carbamazepine, Cetirizine, Diclofenac, Fenbendazole, Irbesartan, Iopromide, Ivermectin, Lidocaine, Metformin, Mebendazole, Nicotinamide, Sulfamethoxazole, Trimethoprim, Telmisartan. The samples were taken in 2019 &amp; 2020. An article describing and interpreting the data will be linked once published.",mds,True,findable,227,2,0,0,0,2023-04-20T13:24:04.000Z,2023-06-20T12:31:16.000Z,rdg.prod,rdg,,,,
-10.6084/m9.figshare.12291698,Additional file 2 of Association of helicopter transportation and improved mortality for patients with major trauma in the northern French Alps trauma system: an observational study based on the TRENAU registry,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 2. Comparison between all groups of transportation.,mds,True,findable,0,0,16,0,0,2020-05-13T03:41:53.000Z,2020-05-13T03:41:54.000Z,figshare.ars,otjm,"Medicine,Environmental Sciences not elsewhere classified,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Cancer,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['16462 Bytes'],
-10.26302/sshade/experiment_jg_20091029_003,"Vis-NIR reflectance spectra of Gode (Ogaden, Ethiopia) basalt powder",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Gode (Ogaden, Ethiopia) basalt altered in hot and very arid conditions. The experiment contains spectra of the powder of the alteration rind and of the internal part of the sample.",mds,True,findable,0,0,0,0,0,2019-12-09T05:14:05.000Z,2019-12-09T05:14:06.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['2 spectra'],['ASCII']
-10.6084/m9.figshare.15033202,Additional file 1 of Variability of multi-omics profiles in a population-based child cohort,figshare,2021,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. Supplementary tables, figures and R code. This file contains supplementary methods, tables and figures summarizing the results of the variance partition models. It also contains the code used in R to perform variance partition analyses and Gaussian graphical models.",mds,True,findable,0,0,54,1,0,2021-07-22T03:31:44.000Z,2021-07-22T03:31:45.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['413915 Bytes'],
-10.15778/resif.zf2003,Bam Aftershock temporary experiment (RESIF - SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2010,en,Other,"Open Access,Creative Commons Attribution 4.0 International",Bam Aftershock temporary experiment,mds,True,findable,0,0,0,1,0,2018-03-01T16:01:26.000Z,2018-03-01T16:01:26.000Z,inist.resif,vcob,"Seismology,Bam,Aftershock,Iran","[{'subject': 'Seismology'}, {'subject': 'Bam'}, {'subject': 'Aftershock'}, {'subject': 'Iran'}]",,
-10.17178/amma-catch.ce.raind_nct,"Precipitation dataset (daily rainfall), over the Tondikiboro and Mele Haoussa watersheds (&lt; 35 ha), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2006,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of daily rainfall in the Sahel. The aim is to characterize the temporal and spatial variability within the Tondikiboro and Mele Haoussa local sites. Data will be used in modelling the local rainfall/runoff relationship (see CE.Run_Nct) as well as to complete the automatic raingauge network.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:58.000Z,2018-03-16T15:36:59.000Z,inist.osug,jbru,"Daily rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount","[{'subject': 'Daily rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.6084/m9.figshare.16851069,Additional file 12 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 12: Fig. S6. Immunoblot and RTqPCR analysis of candidates identified by proteomics. A) Protein levels of five candidates found overexpressed in KD vs. WT by 2D-DIGE proteomics (fascin, Î³-synuclein, ISG15, S100A4 and tubulin-Î²Î™Î™A) were analyzed by immunoblotting. Two independent clones of each type (indicated as 1 and 2) with two different cultures for each clone were analyzed; Î±-tubulin is given as loading control. The arrow indicates the correct ISG15 band. B-F) mRNA levels in the WT and KD clones were measured by RTqPCR: fascin (B), Î³-synuclein (C), ISG15 (D), S100A4 (E), and N-cadherin involved in cell-cell contacts (F). Data are means Â± SEM (n=3). ###p&lt;â€‰0.005 relative to WT. For clone abbreviations see Fig. 1.",mds,True,findable,0,0,93,1,0,2021-10-22T04:03:29.000Z,2021-10-22T04:03:32.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['9134208 Bytes'],
-10.26302/sshade/experiment_tg_20180503_001,Vis-VNIR optical indices of 4 Tholins films,SSHADE/SPAN (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Set of Visible-Very Near IR optical indices of tholins films formed with different $CH_4$ percentages in $N_2$ gas: 1%, 2%, 5%, 10%",mds,True,findable,0,0,0,0,0,2023-05-09T12:44:13.000Z,2023-05-09T12:44:14.000Z,inist.sshade,mgeg,"laboratory measurement,ellipsometry,macroscopic,Vis,Visible,optical constants,Tholins,Tholins LATMOS Film 90%N2:10%CH4,Tholins LATMOS Film 99%N2:1%CH4,Tholins LATMOS Film 98%N2:2%CH4,laboratory,complex macromolecular mixture","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'ellipsometry', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'optical constants', 'subjectScheme': 'variables'}, {'subject': 'Tholins', 'subjectScheme': 'name'}, {'subject': 'Tholins LATMOS Film 90%N2:10%CH4', 'subjectScheme': 'name'}, {'subject': 'Tholins LATMOS Film 99%N2:1%CH4', 'subjectScheme': 'name'}, {'subject': 'Tholins LATMOS Film 98%N2:2%CH4', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'complex macromolecular mixture', 'subjectScheme': 'compound type'}]",['4 spectra'],['ASCII']
-10.57745/lxtwng,Terahertz cyclotron emission from two-dimensional Dirac fermions,Recherche Data Gouv,2023,,Dataset,,"Data associated to the following publication: Gebert, S., Consejo, C., Krishtopenko, S.S. et al. Terahertz cyclotron emission from two-dimensional Dirac fermions. Nat. Photon. (2023). https://doi.org/10.1038/s41566-022-01129-1",mds,True,findable,137,7,0,0,0,2023-02-01T21:02:44.000Z,2023-02-09T15:07:59.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.4616357,Raw Data for manuscript submitted to PCI as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in Subalpine Grassland Ecosystems',Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Raw Data for manuscript submitted to PCI Ecology as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in Subalpine Grassland Ecosystems',mds,True,findable,0,0,0,0,0,2021-03-18T08:31:21.000Z,2021-03-18T08:31:22.000Z,cern.zenodo,cern,"climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O","[{'subject': 'climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O'}]",,
-10.5281/zenodo.8046630,Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses,Zenodo,2023,en,Software,"BSD 3-Clause Clear License,Open Access","Melissa is a file avoiding, fault tolerant and elastic framework, generalized to perform ensemble runs such as <em>large scale sensitivity analysis</em> and <em>large scale deep surrogate training</em> on supercomputers. Some of the largest Melissa studies so far employed up to 30k cores to execute 80 000 parallel simulations while avoiding up to 288 TB of intermediate data storage. These large-scale studies avoid intermediate file storage due to Melissa's ""online"" (also referred to as in-transit and on-the-fly) data handling approach. Melissa's architecture relies on three interacting components, the launcher, the server, and the client: Melissa client: the parallel numerical simulation code turned into a client. Each client sends its output to the server as soon as available. Clients are independent jobs. Melissa server: a parallelized process in charge of processing the data upon arrival from the distributed and parallelized clients (<em>e.g.</em> computing statistics or training a neural network). Melissa Launcher: the front-end Python script in charge of orchestrating the execution of the study. This piece of code interacts directly with <code>OpenMPI</code> or with the cluster scheduler (<em>e.g.</em> <code>slurm</code> or <code>OAR</code>) to submit and monitor the proper execution of all instances. The Melissa server component is designed to be specialized for various types of ensemble runs: Sensitivity Analysis (melissa-sa) Melissa's sensitivity analysis server is built around two key concepts: iterative (sometimes also called incremental) statistics algorithms and asynchronous client/server model for data transfer. Simulation outputs are never stored on disk. Instead, they are sent via NxM communication patterns from the simulations to a parallelized server. This method of data aggregation enables the calculation of rapid statistical fields in an iterative fashion, without storing any data to disk. Avoiding disk storage opens up the ability to compute oblivious statistical maps for all mesh elements, for every time step and on a full resolution study. Melissa comes with iterative algorithms for computing various statistical quantities (<em>e.g.</em> mean, variance, skewness, kurtosis and Sobol indices) and can easily be extended with new algorithms. Deep Surrogate Training (melissa-dl) Melissa's deep learning server adopts a similar philosophy. Clients communicate data in a round-robin fashion to the parallelized server. The multi-threaded server then puts and pulls data samples in and out of a buffer which is used for building training batches. Melissa can perform data distributed parallelism training on several GPUs, associating a buffer to each of them. To ensure a proper memory management during execution, samples are selected and evicted according to a predefined policy. This strategy enables the online training method shown in. Furthermore, the Melissa architecture is designed to accommodate popular deep learning libraries such as PyTorch or Tensorflow.",mds,True,findable,0,0,0,0,0,2023-06-16T09:40:23.000Z,2023-06-16T09:40:24.000Z,cern.zenodo,cern,"supercomputing,sensitivity analysis,deep learning,distributed systems,orchestration,ensemble runs","[{'subject': 'supercomputing'}, {'subject': 'sensitivity analysis'}, {'subject': 'deep learning'}, {'subject': 'distributed systems'}, {'subject': 'orchestration'}, {'subject': 'ensemble runs'}]",,
-10.5061/dryad.8gtht76tq,Estimation of changes in behaviour of narwhals,Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"Anthropogenic activities are increasing in the Arctic posing a threat to species with high seasonal site-fidelity, such as the narwhal Monodon monoceros. In this controlled sound exposure study, six narwhals were live-captured and instrumented with animal-borne tags providing movement and behavioural data, and exposed to 1) ship noise and 2) concurrent ship noise and airgun pulses.",mds,True,findable,122,7,0,0,0,2023-07-09T03:51:26.000Z,2023-07-09T03:51:27.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,narwhal,Monodon monoceros,Sound exposure","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'narwhal'}, {'subject': 'Monodon monoceros'}, {'subject': 'Sound exposure'}]",['213268148 bytes'],
-10.6084/m9.figshare.22620037,"Additional file 3 of Biallelic variants in NOS3 and GUCY1A3, the two major genes of the nitric oxide pathway, cause moyamoya cerebral angiopathy",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 3: Candidate homozygous variants identified in the 6 consanguineous probands.,mds,True,findable,0,0,0,0,0,2023-04-13T14:39:41.000Z,2023-04-13T14:44:35.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['28253 Bytes'],
-10.26302/sshade/experiment_lb_20200414_001,"UV Raman spectrum (Î» = 244 nm, Mid-IR range) of 15 terrestrial coals and 3 type II kerogens",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","UV Raman spectrum (Î» = 244 nm, Mid-IR range) of 15 terrestrial coals and 3 type II kerogens",mds,True,findable,0,0,0,0,0,2020-06-02T14:49:50.000Z,2020-06-02T14:49:50.000Z,inist.sshade,mgeg,"natural terrestrial,organic molecular solid,coals DECS2,coals DECS9,coals DECS11,coals DECS27,coals DECS21,coals DECS30,coals PSOC1482,coals PSOC1501,coals PSOC1532,coals PSOC383,coals PSOC384,coals PSOC880,coals PSOC1515,coals PSOC1516,coals PSOC1540,coals K20505,coals K20507,coals K99296,laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,Raman scattering intensity,normalized Raman scattering intensity","[{'subject': 'natural terrestrial'}, {'subject': 'organic molecular solid'}, {'subject': 'coals DECS2'}, {'subject': 'coals DECS9'}, {'subject': 'coals DECS11'}, {'subject': 'coals DECS27'}, {'subject': 'coals DECS21'}, {'subject': 'coals DECS30'}, {'subject': 'coals PSOC1482'}, {'subject': 'coals PSOC1501'}, {'subject': 'coals PSOC1532'}, {'subject': 'coals PSOC383'}, {'subject': 'coals PSOC384'}, {'subject': 'coals PSOC880'}, {'subject': 'coals PSOC1515'}, {'subject': 'coals PSOC1516'}, {'subject': 'coals PSOC1540'}, {'subject': 'coals K20505'}, {'subject': 'coals K20507'}, {'subject': 'coals K99296'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'Raman scattering intensity'}, {'subject': 'normalized Raman scattering intensity'}]",['36 spectra'],['ASCII']
-10.5281/zenodo.10005463,"Data for the paper: ""Folding a Cluster containing a Distributed File-System""",Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Associated paper: https://hal.science/hal-04038000
-The repository containing the analysis scripts is available here
-
-NFS repo
-OrangeFS repo",api,True,findable,0,0,0,0,0,2023-10-15T23:10:52.000Z,2023-10-15T23:10:53.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3903874,"Data for the article ""Long-distance spin-transport across the Morin phase transition up to room temperature in the ultra-low damping alpha-Fe2O3 antiferromagnet""",Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data for experimental magneto-transport and resonance measurements for the article "" Long-distance spin-transport across the Morin phase transition up to room temperature in the ultra-low damping Î±-Fe2O3 antiferromagnet "" (https://arxiv.org/abs/2005.14414)",mds,True,findable,0,0,0,0,0,2020-12-23T18:02:24.000Z,2020-12-23T18:02:24.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10142460,Climate warming drives rockfall from an increasingly unstable mountain slope,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"This readme file provides all data and R codes used to perform the analyses presented in Figs. 2-4 of the main text and Supplementary Information Figures S1-S2-S3.
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-FIGURE 2
--Â  Seasonally_dated_GDs.txt: Contains information on the timing (Season) of rockfall (GD) in a given tree (Id) and a given year (yr) over the past 100 years. Inv refers to the operators which analyzed growth disturbances in the tree-ring series. Lat / Long refers to the position of the tree in CH1903/ Swiss Grid projection. Intensity (1-4) refers to (1), intermediate (2)Â  and strong (3) GD. Intensity 4 was attributed to injuries (I). Only the 408 GD rated 3 (strong TRD) and 4 (injuries) were used in Fig. 2. Acronyms used for Response_type read as follows: TRD: Tangential rows of traumatic resin ducts; I: Injuries. Acronyms used for Season refer to Dormancy (1_D), early (2_EE), middle (3_ME) and late (4_LE) earlywood, whereas a GD found in the latewood was attributed to either the early (5_EL) or late (6_LL) latewood.
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-- Trends_in_seasonality_R1.R: The data contained in ""Seasonally_dated_GDs"" were processed with the R script ""Trends_in_Seasonality.R"". This seasonal trend analysis code is inspired by work published by SchlÃ¶gl et al. (2021; https://doi.org/10.1016/j.crm.2021.100294) and Heiser et al. (2022; https://doi.org/10.1029/2011JF002262).
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-FIGURE 3-4-S1
-- Tasch_GD.txt: Contains the raw data on rockfall impacts (GD) in a given year (yr) as found in all trees available in that same year (Sample_depth) as well as the cumulated diameter at breast height (cumulated_DBH) of all trees present in that same year.
-- Rockfall_frequency_climate.R: The data contained in ""Tasch_GD.txt"" were processed with the R script ""Rockfall_frequency_climate.R"". Â 
-- The temperature (Imfeld23_tmp.txt) and precipitation (Imfeld23_prc.txt) data used in Fig. 3 are from the Imfeld et al. 2023 (10.5194/cp-19-703-2023) gridded dataset (1x1 km lat/long) and were extracted at the grid point centered on the TÃ¤schgufer site.
-- The script set with temperature series enables to compute Fig. 4 (l.149:216) and Fig. 3 (l. 216:330); the script set with precipitation series enables to compute Fig. S1
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-FIGURE S2
-- Tasch_GD.txt: Contains the raw data on rockfall impacts (GD) at the TÃ¤schgufer site in a given year (yr) as found in all trees available in that same year (Sample_depth) as well as the cumulated diameter at breast height (cumulated_DBH) of all trees present in that same year.
-- Rockfall_frequency_borehole.R: is adapted from ""Rockfall_frequency_climate.R"" to work with the borehole dates. Â 
-- Corvatsch0_6R1: Contains the Corvatsch borehole temperature series (2000-2020, 0.6m depth) (Hoelzle, M. et al. https://doi.org/10.5194/essd-14-1531-2022, 2022).
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-FIGURE S3
-- Plattje_GD.txt: Contains the raw data on rockfall impacts (GD) at the Plattje site in a given year (yr) as found all trees available in that same year (Sample_depth) as well as the cumulated diameter at breast height (cumulated_DBH) of all trees present in that same year.
-- - Rockfall_frequency_climate_Plattje.R: The data contained in ""Plattje_GD.txt"" were processed with the R script ""Rockfall_frequency_climate_Plattje.R"". Â 
-- The temperature (Imfeld23_tmp_Plattje.txt) and precipitation (Imfeld23_prc_Plattje.txt) data used in Fig. 3 are from Imfeld et al. 2023 (10.5194/cp-19-703-2023) gridded dataset (1x1 km lat/long) and were extracted at the grid point centered on the Plattje site.
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-Â ",api,True,findable,0,0,0,0,0,2023-11-16T11:01:26.000Z,2023-11-16T11:01:26.000Z,cern.zenodo,cern,"rockfall,dendrogeomorphology,cryosphere,climate change,reconstruction","[{'subject': 'rockfall'}, {'subject': 'dendrogeomorphology'}, {'subject': 'cryosphere'}, {'subject': 'climate change'}, {'subject': 'reconstruction'}]",,
-10.5281/zenodo.5243277,Portuguese DBnary archive in original Lemon format,Zenodo,2021,pt,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Portuguese language edition, ranging from 26th August 2012 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T10:59:52.000Z,2021-08-24T10:59:53.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.5281/zenodo.5727127,"Data related to ""Near-bed sediment transport during offshore bar migration in large-scale experiments""",Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Abstract: This paper presents novel insights into hydrodynamics and sediment fluxes in large-scale laboratory experiments with bi-chromatic wave groups on a relatively steep initial slope (1:15). An Acoustic Concentration and Velocity Profiler provided detailed information of velocity and sand concentration near the bed from shoaling up to the outer breaking zone including suspended sediment and sheet flow transport. The morphological evolution was characterized by offshore migration of the outer breaker bar. Decomposition of the total net transport revealed a balance of onshore-directed, short wave-related and offshore-directed, current-related net transport. The short wave-related transport mainly occurred as bedload over small vertical extents. It was linked to characteristic intrawave sheet flow layer expansions during short wave crests. The current-related transport rate featured lower maximum flux magnitudes but occurred over larger vertical extents. As a result, it was larger than the short wave-related transport rate in all but one cross-shore position, driving the bar's offshore migration. Net flux magnitudes of the infragravity component were comparatively low but played a non-negligible role for total net transport rate in certain cross-shore positions. Net infragravity flux profiles sometimes featured opposing directions over the vertical. The fluxes were linked to a standing infragravity wave pattern and to the correlation of the short wave envelope, controlling suspension, with the infragravity wave velocity. About the data: The data on beach profile (from mechanical profiler), velocity (from ACVP and ADV), sand concentration (from ACVP and OBS) and water surface elevation (from RWG, AWG and PT) measurements is given in .mat (MATLAB) files. The folder â€œBeach Profilesâ€ contains the measurements from the mechanical profiler before and after each test. To save time, only the morphologically active section of the profiles was measured. Additionally, the folder contains the initial profiles at the start of a sequence (after application of the benchmark waves). Here the full profile was measured. The structure â€œMobFrameâ€ contains the absolute cross-shore position of the mobile frame (from which detailed measurements were taken) in the considered tests. The folder â€œACVPâ€ contains structures with ensemble-averaged velocity and concentration measurements in vertical reference to the undisturbed bed level or a few bins below it (zeta0-coordinate system) sampled at 50.5051Hz. For better interpretation of the measurements, it also features the ensemble-averaged intrawave instantaneous erosion depth (bed elevation) and the upper limit of the sheet flow layer. The folder â€œADVâ€ contains structures with the ensemble-averaged ADV data of each test sampled at 100Hz. Apart from the velocity components of each ADV it contains the vertical elevation of each ADV with respect to the ACVP transceiver. The ADV measurements were not subject to the same vertical referencing procedure that was described in the paper for the near-bed ACVP measurements and a more or less constant distance to the bed was assumed. The folder â€œOBSâ€ contains structures with the ensemble-averaged OBS data of each test sampled at 40Hz. Apart from the concentration measurements it contains the vertical elevation of the OBSs with respect to the ACVP transceiver. The folder â€œETAâ€ contains structures with the ensemble-averaged water surface elevation measurements in many different absolute cross-shore locations in the flume sampled at 40Hz. For visualizing the near-bed concentration data, which may not be as trivial as visualizing the rest of the data, an example of MATLAB code is given: %S=ACVP_xx; %to choose which ACVP file you want to look into<br> con=S.c;<br> con(con&lt;1)=1; %to cater for the cells where the logarithm is not defined<br> xphase=linspace(0,1,length(S.solbed)).*ones(size(S.c,2),size(S.c,1));<br> figure; hold on; box on; <br> [C,h]=contourf(xphase,S.z,log10(transpose(con)),[0:0.1:3]); <br> cbh=colorbar; caxis([0 3]); <br> set(h,'edgecolor','none'); <br> tt=get(cbh,'Title'); set(tt,'String','$^{10}log(c)$ $[kg/m^3]$','Interpreter','Latex');<br> plot(xphase(1,:),S.solbed,'k','Linewidth',1.5);<br> plot(xphase(1,:),S.solflo,'r','Linewidth',1.5);<br> xlabel('$t/T_r$','Interpreter','Latex')<br> ylabel('$\zeta_0$ $[m]$','Interpreter','Latex')<br> set(gca,'Fontsize',18)",mds,True,findable,0,0,0,0,0,2021-11-25T12:32:45.000Z,2021-11-25T12:32:46.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.1009122,Esa Seom-Ias â€“ Measurement Database 2.3 Îœm Region,Zenodo,2017,,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","The database contains measurements performed within the framework of the esa project SEOM-IAS (Scientific Exploitation of Operational Missions - Improved Atmospheric Spectroscopy Databases), ESA/AO/1-7566/13/I-BG. Details on the project can be found at http://www.wdc.dlr.de/seom-ias/.
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-Measurements for retrieval of absorption line parameters of H<sub>2</sub>O, CO and CH<sub>4</sub> in the spectral range 4190-4340 cm<sup>-1</sup> within the esa project SEOM-IAS were performed by means of Fourier-Transform Spectroscopy (FTS) at the German Aerospace Center (DLR) and Continuous Wave Cavity Ring-Down Spectroscopy (CRDS) at UniversitÃ© Grenoble Alpes. The aim of the measurements was an improved line parameter database according to the needs of the TROPOMI instrument aboard the Sentinel 5-P satellite. The database contains all used molecular spectra used for Parameter retrieval.",,True,findable,0,0,0,1,0,2017-10-11T14:59:37.000Z,2017-10-11T14:59:38.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.16786777,Additional file 9 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 9. SF36 questionnaire (French version).,mds,True,findable,0,0,16,1,0,2021-10-12T03:42:34.000Z,2021-10-12T03:42:38.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['20151 Bytes'],
-10.26302/sshade/experiment_jg_20090125_001,"Vis-NIR reflectance spectra of Udokan (Siberia, Russia) basalt",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Vis-NIR reflectance spectra of the Udokan basalts altered in cold and arid environment (Siberia). The samples were collected along lava flow. The experiment contains spectra of the surface of the samples.,mds,True,findable,0,0,0,0,0,2019-12-09T05:09:40.000Z,2019-12-09T05:09:41.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,carbonate,calcite,zeolites,oxide-hydroxide,ferrihydrite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'carbonate'}, {'subject': 'calcite'}, {'subject': 'zeolites'}, {'subject': 'oxide-hydroxide'}, {'subject': 'ferrihydrite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['52 spectra'],['ASCII']
-10.5061/dryad.bcc2fqz79,Data from: Unveiling the food webs of tetrapods across Europe through the prism of the Eltonian niche,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Aim Despite the recent calls on integrating the interaction networks into the study of largeâ€scale biodiversity patterns, we still lack a basic understanding of the functional characteristics of large interaction networks and how they are structured across environments. Here, building on recent advances in network science around the Eltonian niche concept, we aim to characterize the trophic groups in a large food web, and understand how these trophic groups vary across space. Location Europe and Anatolia. Taxon Tetrapods (1,136 species). Methods We combined an expertâ€based metaweb of all European tetrapods with their spatial distributions and biological traits. To understand the functional structure of the metaweb, we first used a stochastic block model to group species with similar Eltonian niches, and then analysed these groups with speciesâ€™ functional traits and network metrics. We then combined these groups with species distributions to understand how trophic diversity varies across space, in function of the environment, and between the European ecoregions. Results We summarized the 1,136 interacting species within the metaweb into 46 meaningful trophic groups of species with a similar role in the metaweb. Specific aspects of the ecology of species, such as their activity time, nesting habitat and diet explained these trophic groups. Across space, trophic diversity was driven by both biotic and abiotic factors (species richness, climate and primary productivity), and the representation of trophic groups differed among European ecoregions. Main conclusions We have characterized the Eltonian niche of species in a large food web, both in terms of species interactions and functional traits, and then using this to understand the spatial variation of food webs at a functional level, thus bringing together network science, functional ecology and biogeography. Our results highlight the need to integrate multiple aspects of species ecology in global change research. Further, our approach is strongly relevant for conservation biology as it could help predict the impact of species translocations on trophic diversity.",mds,True,findable,341,28,0,0,0,2019-12-06T17:21:08.000Z,2019-12-06T17:21:09.000Z,dryad.dryad,dryad,"metaweb,stochastic block model,Trophic diversity,trophic groups","[{'subject': 'metaweb'}, {'subject': 'stochastic block model'}, {'subject': 'Trophic diversity'}, {'subject': 'trophic groups'}]",['2823551 bytes'],
-10.5281/zenodo.7561767,"NEMO v4.2 eORCA1 data with RIS, FRIS and LCIS explicit",Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>PROJECT OPEN</strong> https://www.katofthesea.com/project-open <strong>OBJECTIVES</strong> As a first step towards better representing AABW source waters in NEMO global ocean 1Â° (eORCA1), we explicitly simulate circulation beneath Filchner-Ronne (FRIS), Larsen C (LCIS), and Ross (RIS) ice shelves. These ice shelves were chosen due to their role in the formation and setting of properties of the parent waters of AABW. <strong>METHODOLOGY</strong> NEMO version 4.2 Beta Forced with 2 cycles of CORE forcing for a reference â€œClosedâ€ cavity run and an â€œOpenâ€ run with FRIS, LCIS and RIS represented. Inform initial conditions using an idealized regional configuration of each ice shelf. <strong>PROVIDED HERE:</strong> <strong>NAMELISTS: </strong> - NEMO reference namelist (namelist_ref; also available with NEMO code), OPEN configuration (namelist_core_ia_cfg) namelist and sea ice namelists (namelist_ice_ref and namelist_ice_cfg). Unless stated otherwise in the â€œcfgâ€ namelist, the simulation uses the namelist choices provided in the â€œrefâ€ namelist. The namelist_core_ia_cfg is a namelist specific to a global ocean configuration (ORCA2, ORCA1, ORCA025 etc) forced by interannual core winds. For more information on all the namelist parameters included in these namelists, please refer to the NEMO reference manual available on Zenodo (10.5281/zenodo.6334656). <strong>DOMAIN FILES AND INITIAL CONDITIONS: </strong> - Initial conditions where data inside the cavity is informed using an idealized regional configuration with World Ocean Atlas (WOA; https://www.nodc.noaa.gov/OC5/woa18/woa18data.html) restoring at the boundaries. The data in the cavities is merged with WOA with a smoothing spline applied along the ice shelf front. - A domain file containing bathymetry and ice shelf draft with FRIS, LCIS and RIS open along with accompanying mesh mask file. - The adapted eddy viscosity files where viscosity varies south of 65 degrees South according to grid cell size. - A freshwater flux file where the melt rate from all cavities except FRIS, LCIS and RIS is prescribed. Inside the ""Open"" cavities, the melt paramaterization is turned off and the location of melt is moved to the grounding line in case in the future we would like to include the flux from grounding line rives. <strong>MODEL OUTPUT:</strong> The data uploaded in this zip file is split into the output from the ""Closed"" and ""Open"" runs and is listed under eORCA1_output. Here the temperature and salinity fields used for comparison with WOA are provided (1981-2009), along with specific sections extracted using the PAGO functions (https://www.whoi.edu/science/PO/pago/) along FRIS and RIS for certain dates that correspond to CTD sections in the area. To facilitate easy plotting of the example scripts provided, we have also extracted the thermohaline and velocity fields for FRIS cavity and adjacent continental shelf. The user can use these for a first try with the scripts provided and then move on to extracting their areas and dates of interest from the regional 1981-2009 files. <strong>EXAMPLE SCRIPS:</strong> To get the user familiar with the provided data, we have provided example scripts for extracting the data (open_eORCA_FRIS), plotting bathymetry and T-S (plot_bathy_T_S) and plotting the meridional overturning function and barotropic stream function in the cavity (plot_MOC_BSF_melt). In this same script the melt rate pattern is plotted and the net melt over various time periods corresponding to observational studies is calculated using calculating_net_melt. Additionally, a script plotting temperature and salinity across FRIS ice shelf front for the period February-March 1995 is provided and can be adapted and used to plot the other sections of data provided in this zip. <strong>ACKNOWLEDGEMENTS AND FINANCIAL SUPPORT</strong> Katherine Hutchinson received financial support of the European Unionâ€™s Horizon 2020 research and innovation programme Marie SkÅ‚odowska-Curie grant agreement No 898058 (Project OPEN). Nicolas Jourdain received support from the European Unionâ€™s Horizon 2020 research and innovation programme under grant agreement no. 101003536 (ESM2025). Pierre Mathiot acknowledges support from the European Unionâ€™s Horizon 2020 research and innovation programme under grant agreement no. 820575 (TiPACCs). This work was performed using HPC resources from GENCIâ€“IDRIS (Grant 2021- A0100107451) and from the IPSL Mesocentre ESPRI. Project OPEN is a participant in the h2020 open access data pilot.",mds,True,findable,0,0,0,0,0,2023-01-23T14:59:13.000Z,2023-01-23T14:59:14.000Z,cern.zenodo,cern,"NEMO,eORCA1,Weddell,Ross,Ice Shelf","[{'subject': 'NEMO'}, {'subject': 'eORCA1'}, {'subject': 'Weddell'}, {'subject': 'Ross'}, {'subject': 'Ice Shelf'}]",,
-10.5281/zenodo.3463483,"Datasets for ""The hydro-climate and freshwater supply of High-Mountain Asia under warming climate conditions""",Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains ensemble-mean fields and corresponding standard deviations of post-processed outputs of CMIP5 models for three RCP scenarios (RCP2.6, RCP4.5 and RCP8.5) described in a manuscript ""The hydro-climate and freshwater supply of High-Mountain Asia under warming climate conditions"". Each netcdf file contains one field (either an ensemble mean of a standard deviation). The fields are the following: Positive Degree Days (PDD), Total Precipitation (Ptotal), Liquid Precipitation (PLiquiq), Frozen Precipitation (Pfrozen) and Glaciers Mass Balance (MB).",mds,True,findable,0,0,0,0,0,2019-10-02T13:14:17.000Z,2019-10-02T13:14:17.000Z,cern.zenodo,cern,"High Mountain Glaciers, climate","[{'subject': 'High Mountain Glaciers, climate'}]",,
-10.15778/resif.xp2014,Seismic network XP: Volcarray temporary experiment (ISTerre/OVPF(IPGP)),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2014,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","300 autonomous short period vertical seismic stations deployed in 3 sub-networks of 100 sensors each on Piton de la Fournaise volcano (La RÃ©union Island, Indian Ocean, France) for 1 month. The sensors are Z-Land stations of FairfieldNodal.",mds,True,findable,0,0,0,0,0,2014-12-08T09:56:45.000Z,2014-12-08T09:56:45.000Z,inist.resif,vcob,"Piton de la Fournaise volcano,Imaging,Ambient noise,Monitoring of volcano activity","[{'subject': 'Piton de la Fournaise volcano'}, {'subject': 'Imaging'}, {'subject': 'Ambient noise'}, {'subject': 'Monitoring of volcano activity'}]",['529 G;152 stations'],"['miniseed data', 'stationXML metadata']"
-10.26302/sshade/experiment_bms_20160101_001,VUV absorbance spectra beetween 10 and 30K of amorphous N2:CO:CH4 ice mixture,SSHADE/ACID (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","VUV absorbance spectra at 10, 25 and 30K of amorphous N2:CO:CH4=100:1:1 ice mixture deposited at 10K",mds,True,findable,0,0,0,0,0,2021-03-01T20:15:34.000Z,2021-03-01T20:15:36.000Z,inist.sshade,mgeg,"laboratory,solid molecular mixture,N2:CO:CH4=100:1:1 ice mixture,laboratory measurement,transmission,macroscopic,VUV,Vacuum Ultraviolet,absorbance","[{'subject': 'laboratory'}, {'subject': 'solid molecular mixture'}, {'subject': 'N2:CO:CH4=100:1:1 ice mixture'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'VUV'}, {'subject': 'Vacuum Ultraviolet'}, {'subject': 'absorbance'}]",['2 spectra'],['ASCII']
-10.26302/sshade/experiment_bms_20150101_003,VUV absorbance spectra between 10 and 130 K of amorphous CH3CH2CH2CN deposited at 10 K,SSHADE/ACID (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",VUV absorbance spectra between 10 and 130 K of amorphous CH3CH2CH2CN deposited at 10 K,mds,True,findable,0,0,0,0,0,2021-03-01T20:13:18.000Z,2021-03-01T20:13:20.000Z,inist.sshade,mgeg,"laboratory,organic molecular solid,amorphous CH3CH2CH2CN ice,laboratory measurement,transmission,macroscopic,VUV,Vacuum Ultraviolet,absorbance","[{'subject': 'laboratory'}, {'subject': 'organic molecular solid'}, {'subject': 'amorphous CH3CH2CH2CN ice'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'VUV'}, {'subject': 'Vacuum Ultraviolet'}, {'subject': 'absorbance'}]",['4 spectra'],['ASCII']
-10.26302/sshade/experiment_op_20180111_001,Vis-NIR reflectance spectra of biomolecules dry powders at 293Â±2 K,SSHADE/BYPASS (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Reflectance spectra (from 0.38 to 2.4 Âµm) of commercial powders of some of the main terrestrial biomolecules were measured at room temperature (~293 K) and pressure (~1 atm): proteins, DNA, phospholipids, carbohydrates, pigments (porphyrins, carotenoid)",mds,True,findable,0,0,0,0,0,2020-03-31T11:12:35.000Z,2020-03-31T11:12:37.000Z,inist.sshade,mgeg,"carbonaceous,commercial,organic molecular solid,Bovine serum albumin (BSA),Hemoglobin human,1,2-dipalmitoyl-rac-glycero-3-phosphatidic acid disodium salt,1,2-Dihexadecyl-rac-glycero-3-phosphocholine,Deoxyribonucleic acid sodium salt (DNA),Cellulose,Chlorophyllin sodium copper salt,Hemin,all-trans-Retinal,laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'carbonaceous'}, {'subject': 'commercial'}, {'subject': 'organic molecular solid'}, {'subject': 'Bovine serum albumin (BSA)'}, {'subject': 'Hemoglobin human'}, {'subject': '1,2-dipalmitoyl-rac-glycero-3-phosphatidic acid disodium salt'}, {'subject': '1,2-Dihexadecyl-rac-glycero-3-phosphocholine'}, {'subject': 'Deoxyribonucleic acid sodium salt (DNA)'}, {'subject': 'Cellulose'}, {'subject': 'Chlorophyllin sodium copper salt'}, {'subject': 'Hemin'}, {'subject': 'all-trans-Retinal'}, {'subject': 'laboratory measurement'}, {'subject': 'biconical reflection'}, {'subject': 'imaging'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['9 spectra'],['ASCII']
-10.15778/resif.yp2014,Seismic network YP:French part of the Argostoli (Greece) aftershock experiment (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2014,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Within the framework of the JRA1 work packages (Waveform modelling and site coefficients for basin response and topography) of the FP7 EU-NERA 2010-2014 project (Network of European Research Infrastructures for Earthquake Risk Assessment and Mitigation), a dense seismological temporary network was deployed in the Argostoli sedimentary basin (Cephalonia island, Greece) in order to investigate basin effects and spatial variation of ground motion. Tooking place during the period September 15th, 2011 to April 20th, 2012, the seismological experiment comprised 62 seismological stations (mid-band velocimeters, eventually coupled with accelerometers) deployed across the Argostoli basin with inter-station of about 50 meters. 2 mid-band velocimeters were installed at the eastern- and western-most part of the island in order to improve hypocentral location of earthquakes recorded during the experiment. Finally, two dense seismic arrays (with inter-station distance from 5 m to 160 m) were also deployed inside the basin to thoroughly understand seismic wave field composition. More than 3000 seismic events were recorded by this seismological network, among which 817 event with a signal-to-noise ratio above 3.",mds,True,findable,0,0,0,6,0,2020-04-02T14:31:27.000Z,2020-04-02T14:32:20.000Z,inist.resif,vcob,"dense array,site effects,spatial variability","[{'subject': 'dense array'}, {'subject': 'site effects'}, {'subject': 'spatial variability'}]",['57 Gb;8 stations'],"['miniseed data', 'stationXML metadata']"
-10.5281/zenodo.8408864,MARv312-albCor105-spinup6_daily,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"ModÃ¨le AtmosphÃ©rique RÃ©gional (MAR) version 3.12 simulations for Antarctic domain, 35 x 35 km spatial resolution, daily temporal resolution, for the 1979-2020 period, nudged with ERA5.Â The code for the regional atmospheric climate model MAR (ModÃ¨le AtmosphÃ©rique RÃ©gional) is available upon registration at https://gitlab.com/Mar-Group/MARv3
-
-This data is analyzed in a manuscript published in The Cryosphere:Â 
-
-Servettaz, A. P. M., Agosta, C., Kittel, C., and Orsi, A. J.: Control of the temperature signal in Antarctic proxies by snowfall dynamics, The Cryosphere, 17, 5373â€“5389, https://doi.org/10.5194/tc-17-5373-2023, 2023
-
-Please cite the Journal Article when using this dataset.",mds,True,findable,0,0,0,0,0,2023-10-05T02:04:34.000Z,2023-10-05T02:04:35.000Z,cern.zenodo,cern,"Antarctica,Snowfall,Temperature","[{'subject': 'Antarctica'}, {'subject': 'Snowfall'}, {'subject': 'Temperature'}]",,
-10.5061/dryad.hqbzkh1jx,Chameleon biogeographic dispersal associated with extreme life history strategies,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"This dataset contains data and code that support the results in Weil, S.-S., Gallien, L., Lavergne, S., BÃ¶rger, L., Hassler, G., NicolaÃ¯, MichaÃ«l P. J., Allen, William L. (2022) Chameleon biogeographic dispersal associated with extreme life history strategies (DOI: 10.1111/ecog.06323). We used species distribution, phylogenetic and life history trait data of 181 chameleons to determine the relationship between three traits (coastal distribution, body size, position on the fast/slow life history continuum) and past dispersal probability on an evolutionary timescale using trait-dependent biogeographic models. We found that all three traits were associated with past biogeographical movements. Lineages having coastal distributions and those with large bodies had higher dispersal probabilities. Interestingly, chameleons with either very fast or very slow life history were more successful dispersers than species with an intermediate strategy. Together, the three traits â€œcoastal, large-bodied and extreme life historyâ€ form a dispersal syndrome.",mds,True,findable,135,10,0,1,0,2022-07-25T23:28:52.000Z,2022-07-25T23:28:53.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,Biogeography,Chamaeleonidae,dispersal,fast-slow life history continuum,species' traits,trait-dependent biogeography,BioGeoBEARS","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biogeography', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Chamaeleonidae'}, {'subject': 'dispersal'}, {'subject': 'fast-slow life history continuum'}, {'subject': ""species' traits""}, {'subject': 'trait-dependent biogeography'}, {'subject': 'BioGeoBEARS'}]",['54898295 bytes'],
-10.26302/sshade/experiment_gl_20150105_1,Mid-infrared diffuse reflectance experiment with chlorite (donbassite) heated in-situ from 25 to 860Â°C,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:17:23.000Z,2022-11-04T08:17:24.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,donbassite,commercial,elemental solid,Synthetic diamond powder,laboratory measurement,diffuse reflection,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'donbassite'}, {'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'Synthetic diamond powder'}, {'subject': 'laboratory measurement'}, {'subject': 'diffuse reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['4 spectra'],['ASCII']
-10.17178/emaa_hc3n_hyperfine_f86a675e,Hyperfine excitation of HC3N by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",61 hyperfine energy levels / 108 radiative transitions / 1810 collisional transitions for para-H2 (10 temperatures in the range 10-100K) / 1810 collisional transitions for ortho-H2 (10 temperatures in the range 10-100K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:56.000Z,2021-11-17T14:00:58.000Z,inist.osug,jbru,"target HC3N,excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC3N', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.25349/d9vw3d,"Holocene earthquake rupture of the XEOLXELEKâ€“Elk Lake fault in the Greater Victoria area, British Columbia, Canada",Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"Subduction forearcs are subject to seismic hazard from upper plate faults that are often invisible to instrumental monitoring networks. Identifying active faults in forearcs therefore requires integration of geomorphic, geologic, and paleoseismic data. We demonstrate the utility of these approaches in a highly populated region of Vancouver Island, Canada, by combining lidar remote sensing, historical imagery, field investigations, and shallow geophysical surveys to identify a previously unrecognized active fault, the XEOLXELEK - Elk Lake fault, in the northern Cascadia forearc, ~ 10 km north of the city of Victoria. Lidar-derived bare-earth digital terrain models and historical air photos show a ~ 2.5 m-high scarp along the surface of a Quaternary drumlinoid ridge. Paleoseismic trenching and electrical resistivity tomography surveys across the scarp reveal a single reverse-slip earthquake produced a fault-propagation fold above a blind southwest-dipping fault. Five geologically plausible OxCal models of radiocarbon-dated charcoal from deformed deposits and one colluvial wedge constrain the likely earthquake age to between 4.7 and 2.3 ka (68% confidence interval). Fault-propagation fold modeling indicates ~ 3.2 m of reverse slip on a blind, 50Â° southwest-dipping fault can reproduce the observed deformation. Fault scaling relations suggest a M 6.1â€“7.6 earthquake with a 13 to 73 km long surface rupture and 2.3 to 3.2 m of dip-slip may be responsible for the deformation observed in the paleoseismic trench. An earthquake near this magnitude in Greater Victoria could result in major damage, and the results of this study highlight the importance of using both remote sensing and field studies to identify and characterize active faults in forearcs and regions with recent glaciation.",mds,True,findable,220,12,0,1,0,2023-05-20T01:22:09.000Z,2023-05-20T01:22:10.000Z,dryad.dryad,dryad,"FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences,Paleoseismic trench,Cascadia,Active fault,Vancouver Island,Fault-propagation fold,radiocarbon dates,Seismic Hazard,Electrical resistivity tomography","[{'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Paleoseismic trench'}, {'subject': 'Cascadia'}, {'subject': 'Active fault'}, {'subject': 'Vancouver Island'}, {'subject': 'Fault-propagation fold'}, {'subject': 'radiocarbon dates'}, {'subject': 'Seismic Hazard'}, {'subject': 'Electrical resistivity tomography'}]",['159972 bytes'],
-10.17178/amma-catch.pa.h2oflux_snns,"Surface flux dataset (including surface energy, water vapor, and carbon fluxes) in the Niakhar site (Faidherbia-Flux station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Measure components of the local-scale energy budget at 2 levels, above tree canopy (20m) and below tree canopy (4.5m). Obtain forcing and validation data for modeling of soil-vegetation-atmosphere exchanges in agro-silvo-pastoral systems of Sahel. Contribute to the flux station network over the AMMA regional transect.",mds,True,findable,0,0,1,0,0,2022-12-09T16:47:51.000Z,2022-12-09T16:47:52.000Z,inist.osug,jbru,"Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology,Sahelian climate,Friction Velocity at height 4.5 m,Sensible Heat Flux at height 4.5 m,Sensible Heat Flux at height 20 m,Latent Heat Flux at height 4.5 m,Net Ecosystem Exchange of CO2 at height 4.5 m,Latent Heat Flux at height 20 m,Friction Velocity at height 20 m,Net Ecosystem Exchange of CO2 at height 20 m","[{'subject': 'Land surface exchange, water budget, energy budget, sahelian vegetation, evapo-transpiration, sahelian hydrology', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Friction Velocity at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Sensible Heat Flux at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Net Ecosystem Exchange of CO2 at height 4.5 m', 'subjectScheme': 'var'}, {'subject': 'Latent Heat Flux at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Friction Velocity at height 20 m', 'subjectScheme': 'var'}, {'subject': 'Net Ecosystem Exchange of CO2 at height 20 m', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.3876052,Raw diffraction data for [NiFeSe] hydrogenase G491A variant pressurized with O2 gas - dataset G491A-O2-LD,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID30B on April 8, 2018. Image files are uploaded in blocks of gzip-compressed cbf files.",mds,True,findable,1,0,0,0,0,2020-06-04T08:24:45.000Z,2020-06-04T08:24:46.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
-10.18709/perscido.2017.10.ds129,"F-TRACT, ATLAS August 2017",PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Dataset containing connectivity probability with associated p-values as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 174 patients, in the MarsAtlas parcellation scheme. The CCEP features are: peak and onset latency (LatStart), amplitude, integral, duration and the velocity estimated from the onset latency and the Euclidean distance between the parcels.",api,True,findable,0,0,0,0,0,2017-11-03T01:29:18.000Z,2017-11-03T01:29:18.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['66 MB'],['csv']
-10.26302/sshade/experiment_zed_20220901,FIR-MIR reflectance spectra of carbonaceous chondrites (polished sections),SSHADE/DAYSY (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Average FIR-MIR reflectance spectra (100-1200 cm-1) of 3 polished sections of carbonaceous chondrites: Bells, Essebi, NWA12563",mds,True,findable,0,0,0,0,0,2023-01-03T09:40:06.000Z,2023-01-03T09:40:07.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,ungrouped,complex organic-mineral mix,matrix,silicate,chondrules,complex mineral mix,CAIs,CM,laboratory measurement,confocal reflection,micro-imaging,MIR,Mid-Infrared,FIR,Far-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'ungrouped'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix'}, {'subject': 'silicate'}, {'subject': 'chondrules'}, {'subject': 'complex mineral mix'}, {'subject': 'CAIs'}, {'subject': 'CM'}, {'subject': 'laboratory measurement'}, {'subject': 'confocal reflection'}, {'subject': 'micro-imaging'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'reflectance factor'}]",['3 spectra'],['ASCII']
-10.15778/resif.zu2015,Seismic network ZU : Orogen-X temporary experiment (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2018,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","The eastern Pyrenees have a crustal structure clearly different from the central part of the range. In order to image the transition between the two sectors, two orthogonal passive seismic profiles have been set up. Composed of 28 temporary broadband stations and a few more from the permanent networks backbone, they recorded teleseismic as well as local events from mid-2015 to late 2016.",mds,True,findable,0,0,0,1,0,2018-05-25T08:46:15.000Z,2018-05-25T08:46:15.000Z,inist.resif,vcob,"Pyrenees,crustal structure,continental subduction,mantle exhumation,rift inversion","[{'subject': 'Pyrenees'}, {'subject': 'crustal structure'}, {'subject': 'continental subduction'}, {'subject': 'mantle exhumation'}, {'subject': 'rift inversion'}]","['29 stations, 391G Gb']","['miniseed data', 'stationXML metadata']"
-10.5281/zenodo.10471553,"Datasets used in ""Global LHC constraints on electroweak-inos with SModelS v2.3""",Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"Input SLHA and SModelS output (.smodels and .py) files from the paper ""Global LHC constraints on electroweak-inos with SModelS v2.3"". The datasets comprises 18247 electroweak-ino scan points and can be used to reproduce results in sections 4 and 5, and in appendix B.
-
-
-
-ewino_slhaFiles.tar.gz : input SLHA files including mass spectra, decay tables and cross sections.
-
-ewino_smodels_mmg10.tar.gz : SModelS outputs with a minmassgap of 10 GeV (value used for the results presented in the main text, used for Figures 12-21). All the 18247 scan points present in the directory were obtained using this minmassgap.
-
-ewino_smodels_mmg05.tar.gz : SModelS outputs with a minmassgap of 5 GeV (value used in appendix B, used for Figures 23 and 24). All the 18247 scan points present in the directory were obtained using this minmassgap.
-
-ewino_smodels_mmg15.tar.gz : SModelS outputs with a minmassgap of 15 GeV (value used in appendix B, used for Figures 23 and 24). Only the points with a mass difference between the next-to-lightest neutralino and the lightest neutralino, or the next-to-lightest neutralino and the lightest chargino, or the lightest chargino and the lightest neutralino comprised between 10 and 15 GeV were computed using this minmassgap. This corresponds to 1732 scan points, which are listed in the summary.txt present in the compressed directory. TheÂ results for the remaining points were obtained using a minmassgap of 10 GeV.
-
-ewino_smodels_mmg20.tar.gz : SModelS outputs with a minmassgap of 20 GeV (value used in appendix B, used for Figures 23 and 24). Only the points with a mass difference between the next-to-lightest neutralino and the lightest neutralino, or the next-to-lightest neutralino and the lightest chargino, or the lightest chargino and the lightest neutralino comprised between 15 and 20 GeV were computed using this minmassgap. This corresponds to 870 scan points, which are listed in the summary.txt present in the compressed directory. The results for the remaining points were obtained using a minmassgap of 15 or 10 GeV (depending on the mass difference condition mentioned in the previous paragraph).
-
-combinability_matrix.py: python dictionnary modelling the combinability matrix (Figure 11).",api,True,findable,0,0,0,0,0,2024-01-09T20:45:54.000Z,2024-01-09T20:45:54.000Z,cern.zenodo,cern,"LHC,electroweak-ino,EW-ino,scan,likelihood,global constraint,SModelS,smodels,reinterpretation,simplified models,supersymmetry","[{'subject': 'LHC'}, {'subject': 'electroweak-ino'}, {'subject': 'EW-ino'}, {'subject': 'scan'}, {'subject': 'likelihood'}, {'subject': 'global constraint'}, {'subject': 'SModelS'}, {'subject': 'smodels'}, {'subject': 'reinterpretation'}, {'subject': 'simplified models'}, {'subject': 'supersymmetry'}]",,
-10.26302/sshade/experiment_dt_20170706_002,Fe K edge XAS transmission of natural hematite Fe2O3 at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-15T20:29:57.000Z,2019-11-15T20:29:57.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,natural terrestrial,oxide-hydroxide,Natural hematite,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Natural hematite'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.5564457,Tailored nano-columnar La2NiO4 cathodes for improved electrode performance,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","La<sub>2</sub>NiO<sub>4</sub> is a promising cathode material for intermediate and low temperature solid oxide cell applications, due to good electronic and ionic conductivity and high oxygen exchange activity with a low activation energy. Oxygen incorporation and transport in La<sub>2</sub>NiO<sub>4 </sub>(LNO) thin films is limited by surface reactions. Hence, tailoring the morphology is expected to lead to an overall improvement of electrode performance. We report on the growth of to nano-architectured La<sub>2</sub>NiO<sub>4</sub> thin film electrodes by PI-MOCVD, achieving vertically gapped columns with multi-fold active surface area, leading to faster oxygen exchange. This nano-rod structure is rooted in a dense bottom layer serving as good electronic and ionic conduction pathway. The microstructure is tuned by modification of the growth temperature and characterised by SEM, TEM and XRD. We studied the effect of surface activity by electrical conductivity relaxation measurements in fully dense and columnar-structured La<sub>2</sub>NiO<sub>4</sub> thin films of various thicknesses on single crystal substrates. Our results indicate that the increased surface area, in combination with the opening of different surface terminations, leads to a significant enhancment of the total exchange activity in columnar structured films.",mds,True,findable,0,0,0,0,0,2021-12-14T13:21:27.000Z,2021-12-14T13:21:28.000Z,cern.zenodo,cern,,,,
-10.18709/perscido.2018.09.ds236,GICS Intrusion Detection Datasets,PerSciDo,2018,en,Dataset,,"These datasets were generated for the evaluation of cybersecurity measures in the context of industrial control systems (ICS). An ICS is a set of devices (electrical, mechanical, hydraulic,. . . ) whose interaction controls the behavior of a physical process in order to achieve an industrial objective (manufacturing, transportation of matter and energy, etc.).",fabricaForm,True,findable,0,0,0,1,0,2018-09-24T09:22:44.000Z,2018-09-24T11:39:56.000Z,inist.persyval,vcob,Computer Science,[{'subject': 'Computer Science'}],['1200 MB'],['pcapng']
-10.57745/mxemi4,X-ray scan of soft ball compression experiments - raw data - 3D DIC data - post-processed data,Recherche Data Gouv,2023,,Dataset,,"These data are associated with the results presented in the paper: Compacting an assembly of soft balls far beyond the jammed state: insights from 3D imaging They are scans of compressed millimetric silicon balls. Micro glass beads are trapped in the silicone so that 3D DIC can be performed. Post-processed data including displacement fields, strain fields, contacts to name a few are also available. More details about the experimental protocol and data post-processing can be found in this publication. How data are sorted The raw and post-processed data of 4 experiments are available here. For each experiment: - a 'scan' folder includes 'scan_XX' folders where 'XX' corresponds to the N compression steps. Inside each of these folders you can find 8-bit png pictures corresponding to the vertical slices of the density matrix of a given compression step. Not interesting slices, because particles are not seeable have been removed for the sake of saving space. - a 'result' folder contains all the data post-processed from the density images. More specifically: - 'pressure_kpa.txt' is a N vector giving the evolution of the applied pressure (in kPa) on the loading piston, where N is number of loading steps. - 'particle_number.txt' is a n vector telling to which particle a correlation cell belongs. n is the number of correlation cells. - 'particle_size.txt' is a m vector where m is the number of particle in the system. It gives the particle size : 1 for large particles, 0 for small ones. Particle numbering corresponds with 'particle_number.txt' - Following text files are Nxn matrices where N is the number of steps and n is the number of correlations cells. They give for each correlation cell, the evolution of an observable measured in the corresponding volume of the correlation cell: - 'position_i.txt' is the position of the cell along i axis - 'position_j.txt' is the position of the cell along j axis - 'position_k.txt' is the position of the cell along k axis - 'correlation.txt' is the evolution of the correlation value when performing the 3D DIC. This constitutes the goodness of measurement of the correlation cell positions - 'dgt_Fij.txt' is the evolution of the deformation gradient tensor for each of its ij components - 'energy.txt' is the evolution of the energy density stored in the material - 'no_outlier_energy.txt' is a boolean ginving, from the energy density measurement, if the observables can be considered as an outlier (0 value) or not (1 value) - Following text files are mxN matrices with self-expicit contents where N is the number of loading steps and m the number of grains (particle numbering corresponds with 'particle_number.txt'). They give for each grain, the evolution of an observable measured at the grain scale. The major direction is the direction in which the particle is the longest. The minor direction is the direction in which the particle is the shortest. Theta and phi are the azimutal and elevation angle respectively: - 'particle_asphericity.txt' - 'particle_area.txt' - 'minor_direction_theta.txt' - 'minor_direction_phi.txt' - 'minor_direction_length.txt' - 'major_direction_theta.txt' - 'major_direction_phi.txt' - 'major_direction_length.txt' - Following text files are N vectors with self-expicit contents where N is the number of loading steps. They give the evolution of a system observable during loading. If a second vector is given it is the evolution of the standard deviation of the observable. In the case of contacts 'proximity' et for contacts obtained only from proximity criterion and 'density' is for contacts obtained from scanner density criterion. 'std' stand for standard deviation: - 'global strain.txt' measured from the system boundaries evolution - 'packing_fraction.txt' measured from the system boundaries and particle volume evolution - 'average_contact_surface_proximity.txt' - 'average_contact_surface_density.txt' - 'average_contact_radius_proximity.txt' - 'average_contact_densitt_proximity.txt' - 'average_contact_outofplane_proximity.txt' - 'average_contact_direction_proximity.txt' - 'average_contact_direction_density.txt' - 'average_contact_asphericity_proximity.txt' - 'average_contact_asphericity_density.txt' - 'average_vonMises_strain.txt' - 'std_vonMises_strain.txt' - 'average contact direction_density.txt' - 'average_energy.txt' - 'std_energy.txt' - 'contact_proximity.txt' number of contact - 'contact_density.txt' number of contact - a 'contact_density' folder includes 'XX' folders corresponing to the N compression steps. Each of these 'XX' folders includes 'ijkP_AA_BB.txt' files which gives information about potential contact points between AA and BB grains. For each potential contact, 'ijkP_AA_BB.txt' gives the i,j and k position of the potential contact points in AA and the average local density value associated which gives the probability of contact. - a 'contact_proximity' folder includes 'XX' folders corresponing to the N compression steps. Each of these 'XX' folders includes 'ijkD_AA_BB.txt' files which gives information about potential contact between AA and BB grains. For each potential contact, 'ijkD_AA_BB.txt' gives the i,j and k position of the potential contact points in AA and the shortest distance between this point and grain BB boundary. - a 'grain_mesh' folder includes 'XX' folders corresponing to the N compression steps. Each of these 'XX' folders includes 'YY.stl' files each of them is the mesh of the borders of the YY particle of the packing. - a 'contact_mesh' folder includes 'XX' folders corresponing to the N compression steps. Each of these 'XX' folders includes 'AA_BB.stl' files each of them is the mesh of the contact between particle AA and BB.",mds,True,findable,88,1,0,0,0,2023-05-12T13:33:44.000Z,2023-09-01T10:05:03.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.10058946,Data used in 'Slumping regime in lock-release turbidity currents',Zenodo,2023,en,Dataset,Other (Open),"This repository contains the data used in the paper:
-
-Gadal, C., Mercier, M., Rastello, M., & Lacaze, L. (2023). Slumping regime in lock-release turbidity currents. Journal of Fluid Mechanics, 974, A4. doi:10.1017/jfm.2023.762
-where the slumping regime of turbidity currents is studied with respect to the initial volume fraction, the bottom slope and the particle settling velocity. The folder 'runs' contains 169 netcdf4 files corresponding to each experimental run used in the paper. For each run, the structure of the NetCDF file is the following:
-
-attributes:
-
-particle_type: particle type used (silica sand, glass beads or saline water)
-run_number: NetCDF file name
-expe_type: always lock-release here
-surface_type: can be 'open surface' or 'rigid lid'
-set_up: can be 'set-up 1' or 'set-up 2'
-run_oldID: run name corresponding to the experimental notebook
-groups:
-
-initial_parameters:
-
-dimensions(sizes):
-variables(dimensions):
-
-Bottom slope(): bottom slope
-Current density(): initial average (fluid + particle) lock density
-Grain density(): particle density (not measured, estimated)
-Grain diameter(): particle diameter
-Initial Reynolds number(): initial Reynolds number, [rho_0 * u_0 * h_0 / mu]
-Initial Rouse number(): initial Rouse number, [v_s / u_0]
-Initial volume fraction(): initial lock particle volume fraction
-Reduced gravity(): reduced gravity, [g*(rho_0 - rho_f)/rho_f]
-Settling velocity(): particle settling velocity
-Temperature(): water temperature (not measured)
-V0 (lock volume)(): lock suspension volume
-Water density(): water density
-Water dynamic viscosity(): water dynamic viscosity (not measured)
-h0 (lock height)(): suspension height inside lock
-u0 (velocity scale)():Â  velocity scale, [sqrt(g'*h_0)]
-w0 (tank width)(): lock crosstream width
-x0 (lock length)(): lock streamwise length
-scalar_variables:
-
-dimensions(sizes): tuples(2), x(1181)
-variables(dimensions):
-
-Av. shape('x',): current average shape
-Av. shape head volume(): Volume per unit of width of the head part of current average shape
-Av. shape tail volume(): Volume per unit of width of the tail part of current average shape
-Av. shape volume(): Volume per unit of width of current average shape
-Bulk entrainment coefficient(): Bulk entrainment coefficient during slumping
-Current Froude number(): Current Froude number, [u_c/sqrt(g' * h_b)]
-Current Reynolds number(): Current Reynolds number, [rho_0 * u_c * h_b / mu]
-Current Rouse number(): Current Rouse number, [v_s / u_c]
-Current head height (log fit)(): current height h_h coming from log fit
-Current height (benjamin fit)(): current height h_b coming from fit of Benjamin's shape
-Current nose height (benjamin fit)(): current nose height h_n coming from fit of Benjamin's shape
-Current nose height (log fit)(): current nose h_n coming from log fit
-Geometrical Froude number(): Current Geometrical Froude number, [u_c/sqrt(g' * h0)]
-Geometrical Reynolds number(): Current Geometrical Reynolds number [rho_0 * u_c * h0 / mu]
-Times lock opening (tstart, tend)('tuples',): Start and end times of lock opening
-Times slumping regime (tstart, tend)('tuples',): Start and end times of constant velocity regime
-Velocity (slumping regime)(): Current velocity during slumping
-time_series:
-dimensions(sizes): time(3071)
-variables(dimensions):
-Volume('time',): current volume per unit of width
-contour time series (x)('time',): x coordinate time series of the current contours
-contour time series (y)('time',): y coordinate time series of the current contours
-position('time',): front position
-time('time',): time vector
-velocity('time',): front velocity
-Most variables possess the following attributes:
-
-unit: corresponding unit
-std: error(s) on the given quantity, calculated by error propagation from measurement uncertainties using the `uncertainties` module (https://pythonhosted.org/uncertainties/) in Python.
-comments: comments on the given quantity (definition, formulas, etc ..)
-Note that all variables related to the current shape are not available for experimental runs carried out in set-up 2.The script ReadPlotData.py shows how to display the structure of a NetCDF file, and gives examples of how to load some variables and plot them by reproducing some of the paper's figures.The CSV file 'dataset_summary.csv' offers a summary of all runs and corresponding experimental parameters, allowing for easier access for testing purposes. *Note that errors are not given in this file.*
-OpenData License: licence-ouverte-v2.0
-If you use this open data in your work (research or other), please cite in your bibliography the following reference doi:https://doi.org/10.1017/jfm.2023.762",api,True,findable,0,0,0,0,0,2023-10-31T17:04:29.000Z,2023-10-31T17:04:30.000Z,cern.zenodo,cern,"Experiments,Fluid dynamics,Geophysics,FOS: Earth and related environmental sciences,Gravity currents,Turbidity currents,Lock-release,Dam-break","[{'subject': 'Experiments'}, {'subject': 'Fluid dynamics'}, {'subject': 'Geophysics'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Gravity currents'}, {'subject': 'Turbidity currents'}, {'subject': 'Lock-release'}, {'subject': 'Dam-break'}]",,
-10.15778/resif.1n2015,French Landslide Observatory â€“ OMIV (Temporary data) (MT-campagne) (RESIF - SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2015,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","This seismological network includes several independent sites of gravitational instabilities in France.These sites corresponds to temporary acquisitions, funded by several independent projects, in relation with the French Landslide Observatory â€“ OMIV. OMIV â€“ Observatoire Multi-disciplinaire des InstabilitÃ©s de Versants) is a service (SNO â€“ Service National d'Observation) of the French Institute for Earth Sciences and Astronomy (INSU) of the National Center for Scientific Research (CNRS). The sites being studied are large and continuously active landslides, rocky cliffs affected by recurrent rockfalls, or rock glaciers. The sites are located in moutain or coastal environments. The data collected are devoted to the seismological analysis of gravitational instabilities i.e. landslide endogenous seismicity (e.g. seismic sources related to physical processes triggered by the deformation of unstable slopes) and to the production of landslide seismic sources catalogues. """,mds,True,findable,0,0,0,1,0,2020-05-18T10:30:53.000Z,2020-05-18T10:31:23.000Z,inist.resif,vcob,"natural hazard,landslide,rockfall,environmental seismology","[{'subject': 'natural hazard'}, {'subject': 'landslide'}, {'subject': 'rockfall'}, {'subject': 'environmental seismology'}]","['530 Gb, growing']","['Miniseed data', 'stationXML metadata']"
-10.5281/zenodo.5588468,"Input data for PARASO, a circum-Antarctic fully-coupled 5-component model",Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Input data for running the PARASO experiments. These files should be extracted, and the folder containing them should be referred to in the `data.cfg` Coral configuration file. See also PARASO documentation from the PARASO sources. The ERA5 forcings (COSMO boundary files and NEMO surface forcings) are not provided herein as they are too large, but we provide: - scripts for downloading and post-processing the ERA5 NEMO forcings; - INT2LM configuration file, with the new Antarctic geometry, to generate COSMO lateral forcings. A 3-month sample of ERA5 data is also available (see <strong>Forcings</strong> below). <strong>Model description: </strong>Pelletier, C., Fichefet, T., Goosse, H., Haubner, K., Helsen, S., Huot, P.-V., Kittel, C., Klein, F., Le clec'h, S., van Lipzig, N. P. M., Marchi, S., Massonnet, F., Mathiot, P., Moravveji, E., Moreno-Chamarro, E., Ortega, P., Pattyn, F., Souverijns, N., Van Achter, G., Vanden Broucke, S., Vanhulle, A., Verfaillie, D., and Zipf, L.: PARASO, a circum-Antarctic fully coupled ice-sheetâ€“oceanâ€“sea-iceâ€“atmosphereâ€“land model involving f.ETISh1.7, NEMO3.6, LIM3.6, COSMO5.0 and CLM4.5, Geosci. Model Dev., 15, 553â€“594, 10.5194/gmd-15-553-2022, 2022. <strong>Source code (no COSMO)</strong>: Pelletier, Charles, Klein, FranÃ§ois, Zipf, Lars, Haubner, Konstanze, Mathiot, Pierre, Pattyn, Frank, Moravveji, Ehsan, &amp; Vanden Broucke, Sam. (2021). PARASO source code (no COSMO) (v1.4.3). Zenodo. 10.5281/zenodo.5576201 <strong>Forcings: </strong>Pelletier, Charles, &amp; Helsen, Samuel. (2021). PARASO ERA5 forcings (1.4.3) [Data set]. Zenodo. 10.5281/zenodo.5590053<br> <strong>Acknowledgements</strong> <strong>ORAS5: </strong>Zuo, H, Alonso-Balmaseda, M, Mogensen, K, Tietsche, S: OCEAN5: The ECMWF Ocean Reanalysis System and its Real-Time analysis component. 2018. 10.21957/la2v0442 downloaded from the ICDC (University of Hamburg) on 01-SEP-2019. <em>(The results contain modified Copernicus Climate Change Service information 2020. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.)</em> <strong>BedMachine: </strong>Morlighem, M. 2020. <em>MEaSUREs BedMachine Antarctica, Version 2</em>. Ice-shelf Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: 10.5067/E1QL9HFQ7A8M. Accessed 01-DEC-2019. Morlighem, M., E. Rignot, T. Binder, D. D. Blankenship, R. Drews, G. Eagles, O. Eisen, F. Ferraccioli, R. Forsberg, P. Fretwell, V. Goel, J. S. Greenbaum, H. Gudmundsson, J. Guo, V. Helm, C. Hofstede, I. Howat, A. Humbert, W. Jokat, N. B. Karlsson, W. Lee, K. Matsuoka, R. Millan, J. Mouginot, J. Paden, F. Pattyn, J. L. Roberts, S. Rosier, A. Ruppel, H. Seroussi, E. C. Smith, D. Steinhage, B. Sun, M. R. van den Broeke, T. van Ommen, M. van Wessem, and D. A. Young. 2020. Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet, <em>Nature Geoscience</em>. 13. 132-137. 10.1038/s41561-019-0510-8 <strong>Iceberg forcings: </strong>Jourdain, Nicolas C., Merino, Nacho, Le Sommer, Julien, Durand, GaÃ«l, &amp; Mathiot, Pierre. (2019). Interannual iceberg meltwater fluxes over the Southern Ocean (1.0) [Data set]. <em>Zenodo</em>. 10.5281/zenodo.3514728 Merino N., Jourdain, N. C., Le Sommer, J., Goose, H., Mathiot, P. and Durand, G (2018). Impact of increasing Antarctic glacial freshwater release on regional sea-ice cover in the Southern Ocean. <em>Ocean Modelling</em>, 121, 76-89. 10.1016/j.ocemod.2017.11.009",mds,True,findable,0,0,5,9,0,2021-10-27T12:20:30.000Z,2021-10-27T12:20:31.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.m1t32,Data from: Phylogenomic analysis of the explosive adaptive radiation of the Espeletia complex (Asteraceae) in the tropical Andes,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"The subtribe Espeletiinae (Asteraceae) is endemic to the high-elevations in the Northern Andes. It exhibits an exceptional diversity of species, growth-forms and reproductive strategies, including large trees, dichotomous trees, shrubs and the extraordinary giant monocarpic or polycarpic caulescent rosettes, considered as a classic example of adaptation in tropical high-elevation ecosystems. The subtribe has long been recognised as a prominent case of adaptive radiation, but the understanding of its evolution has been hampered by a lack of phylogenetic resolution. Here we produce the first fully resolved phylogeny of all morphological groups of Espeletiinae, using whole plastomes and about a million nuclear nucleotides obtained with an original de novo assembly procedure without reference genome, and analysed with traditional and coalescent-based approaches that consider the possible impact of incomplete lineage sorting and hybridisation on phylogenetic inference. We show that the diversification of Espeletiinae started from a rosette ancestor about 2.3 Ma, after the final uplift of the Northern Andes. This was followed by two rather independent radiations in the Colombian and Venezuelan Andes, with a few trans-cordilleran dispersal events among low-elevation tree lineages but none among high-elevation rosettes. We demonstrate complex scenarios of morphological change in Espeletiinae, usually implying the convergent evolution of growth-forms with frequent loss/gains of various traits. For instance, caulescent rosettes evolved independently in both countries, likely as convergent adaptations to life in tropical high-elevation habitats. Tree growth-forms evolved independently three times from the repeated colonisation of lower elevations by high-elevation rosette ancestors. The rate of morphological diversification increased during the early phase of the radiation, after which it decreased steadily towards the present. On the other hand, the rate of species diversification in the best-sampled Venezuelan radiation was on average very high (3.1 spp/My), with significant rate variation among growth-forms (much higher in polycarpic caulescent rosettes). Our results point out a scenario where both adaptive morphological evolution and geographical isolation due to Pleistocene climatic oscillations triggered an exceptionally rapid radiation for a continental plant group.",mds,True,findable,354,81,0,1,0,2019-10-04T22:00:33.000Z,2019-10-04T22:00:34.000Z,dryad.dryad,dryad,"Espeletiinae,caulescent rosette,PÃ¡ramo,tropical high-elevation,explosive diversification","[{'subject': 'Espeletiinae'}, {'subject': 'caulescent rosette'}, {'subject': 'PÃ¡ramo'}, {'subject': 'tropical high-elevation'}, {'subject': 'explosive diversification'}]",['74332765 bytes'],
-10.17178/gnss.products.deeptrigger.peru,Metadata and daily observation files in RINEX format for the 8 DEEP-trigger GNSS stations installed in Peru,"CNRS, OSUG, ISTERRE",2026,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)"". 
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes station metadata in GipsyX staDB format, as well as daily observation RINEX files for the 8 GNSS stations installed in Peru in the frame of the DEEP-trigger project.",mds,True,findable,0,0,0,0,0,2023-04-08T13:17:07.000Z,2023-04-08T13:17:09.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.17178/emaa_(18o)h-plus_hyperfine_1c669710,Hyperfine excitation of [18O]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 62 radiative transitions / 284 collisional transitions for H (9 temperatures in the range 10-500K) / 273 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:01.000Z,2022-02-07T11:24:02.000Z,inist.osug,jbru,"target [18O]H+,excitationType Hyperfine,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [18O]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.5243180,Indonesian DBnary archive in original Lemon format,Zenodo,2021,id,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Indonesian language edition, ranging from 2nd June 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T10:17:23.000Z,2021-08-24T10:17:25.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.6084/m9.figshare.19084110,Additional file 1 of Clinical outcomes after treatment with direct antiviral agents: beyond the virological response in patients with previous HCV-related decompensated cirrhosis,figshare,2022,,Text,Creative Commons Attribution 4.0 International,"Additional file 1: Table S1. Balance of baseline covariates following IPTW analysis according to DAA exposure. Table S2. Summary of non-liver related deaths by cause. Table S3. Summary of liver related deaths by cause. Table S4. Factors associated with HCC, all-cause mortality, and liver transplant in all 559 patients included for study. Table S5. Characteristics of hepatocellular carcinoma according to DAA exposure. Table S6. Incidence rates of hepatocellular carcinoma, all-cause mortality, liver-related mortality, non-liver-related mortality, and liver transplant in all 559 patients under study according to DAA exposure period and virological response status. Table S7. Incidence rates of hepatocellular carcinoma, all-cause mortality, liver-related mortality, non-liver-related mortality, and liver transplant in all 55 patients with a Meld score&gt;20 or Child-Pugh score C according to DAA exposure period and virological response status.",mds,True,findable,0,0,16,1,0,2022-01-28T04:30:56.000Z,2022-01-28T04:30:57.000Z,figshare.ars,otjm,"Space Science,Medicine,Biotechnology,Chemical Sciences not elsewhere classified,Immunology,FOS: Clinical medicine,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences,Virology,Computational Biology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",['48807 Bytes'],
-10.5281/zenodo.7580589,The hidden hierarchical nature of soft particulate gels,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains data for the manuscript ""The hidden hierarchical nature of soft particulate gels"".",mds,True,findable,0,0,0,0,0,2023-02-01T03:58:55.000Z,2023-02-01T03:58:56.000Z,cern.zenodo,cern,"Soft Particulate Gels,Linear Viscoelasticity,Ladder Model,Hierarchical Assembly,Linear Rheology","[{'subject': 'Soft Particulate Gels'}, {'subject': 'Linear Viscoelasticity'}, {'subject': 'Ladder Model'}, {'subject': 'Hierarchical Assembly'}, {'subject': 'Linear Rheology'}]",,
-10.17178/cryobsclim.clb.dome,"Dome, Automatic Weather Station",CNRS - OSUG - Meteo France - Irstea,2000,,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate â€“ Col du Lac Blanc) observatory",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:36.000Z,2018-04-09T10:16:36.000Z,inist.osug,jbru,"Wind speed,Wind direction,Air temperature","[{'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Wind direction', 'subjectScheme': 'main'}, {'subject': 'Air temperature', 'subjectScheme': 'main'}]",,['CSV']
-10.26302/sshade/experiment_lb_20200902_001,"Bidirectional Vis-NIR reflectance spectra at 3 phase angles (i=0Â°, e=10Â°, 20Â°, 30Â°) of 72 powders of bulk meteorites (CI, CM, CO, CR, CV, OC, EL, R, HED, mesosiderites)",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Bidirectional Vis-NIR reflectance spectra [400 - 2500 nm, sampling 100 nm] at 3 phase angles (i=0Â°, e=10Â°, 20Â°, 30Â°) of 72 bulk powdered meteorites (CI, CM, CO, CR, CV, OC, EL, R, HED, mesosiderites)",mds,True,findable,0,0,0,0,0,2020-09-04T07:53:29.000Z,2020-09-04T07:53:30.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix ALH83100,complex mineral mix,chondrules ALH83100,CAIs ALH83100,matrix EET96029,chondrules EET96029,CAIs EET96029,matrix ALH84033,chondrules ALH84033,CAIs ALH84033,matrix ALH84044,chondrules ALH84044,CAIs ALH84044,matrix Cold_Bokkeveld,chondrules Cold_Bokkeveld,CAIs Cold_Bokkeveld,matrix DOM03183,chondrules DOM03183,CAIs DOM03183,matrix LEW87022,chondrules LEW87022,CAIs LEW87022,matrix LEW90500,chondrules LEW90500,CAIs LEW90500,matrix MAC88100,chondrules MAC88100,CAIs MAC88100,CV,matrix MET00761,chondrules MET00761,CAIs MET00761,matrix MET01070,chondrules MET01070,CAIs MET01070,matrix MET01072,chondrules MET01072,CAIs MET01072,matrix MET01075,chondrules MET01075,CAIs MET01075,matrix MIL07700,chondrules MIL07700,CAIs MIL07700,matrix Murchison,chondrules Murchison,CAIs Murchison,matrix PCA02012,chondrules PCA02012,CAIs PCA02012,matrix WIS91600,chondrules WIS91600,CAIs WIS91600,matrix MET00432 IPAG,chondrules MET00432 IPAG,CAIs MET00432 IPAG,CO,matrix ALHA77003,chondrules ALHA77003,CAIs ALHA77003,matrix DOM08006,chondrules DOM08006,CAIs DOM08006,matrix MIL03377,chondrules MIL03377,CAIs MIL03377,matrix MIL03442,chondrules MIL03442,CAIs MIL03442,matrix MIL05013,chondrules MIL05013,CAIs MIL05013,matrix MIL05024,chondrules MIL05024,CAIs MIL05024,matrix MIL090010,chondrules MIL090010,CAIs MIL090010,matrix MIL090038,chondrules MIL090038,CAIs MIL090038,matrix MIL090073,chondrules MIL090073,CAIs MIL090073,matrix MIL090785,chondrules MIL090785,CAIs MIL090785,CR,matrix EET92042,chondrules EET92042,CAIs EET92042,matrix EET92159,chondrules EET92159,CAIs EET92159,matrix GRA95229,chondrules GRA95229,CAIs GRA95229,matrix GRO03116,chondrules GRO03116,CAIs GRO03116,matrix LAP04720,chondrules LAP04720,CAIs LAP04720,matrix MET00426,chondrules MET00426,CAIs MET00426,matrix MIL090657,chondrules MIL090657,CAIs MIL090657,Rumuruti-like chondrite,R,matrix PRE95411,chondrules PRE95411,CAIs PRE95411,matrix QUE99177,chondrules QUE99177,CAIs QUE99177,matrix ALHA81003,chondrules ALHA81003,CAIs ALHA81003,matrix ALH85006,chondrules ALH85006,CAIs ALH85006,matrix Axtell,chondrules Axtell,CAIs Axtell,matrix Efremovka,chondrules Efremovka,CAIs Efremovka,matrix Grosnaja,chondrules Grosnaja,CAIs Grosnaja,matrix Kaba,chondrules Kaba,CAIs Kaba,matrix LAP02206,chondrules LAP02206,CAIs LAP02206,matrix LAR06317,chondrules LAR06317,CAIs LAR06317,matrix MET00430 IPAG,chondrules MET00430 IPAG,CAIs MET00430 IPAG,matrix MIL07671,chondrules MIL07671,CAIs MIL07671,matrix Mokoia,chondrules Mokoia,CAIs Mokoia,matrix RBT04133,chondrules RBT04133,CAIs RBT04133,matrix RBT04302,chondrules RBT04302,CAIs RBT04302,ordinary chondrite,LL,matrix Hamlet,chondrules Hamlet,CAIs Hamlet,matrix ALHA76004,chondrules ALHA76004,CAIs ALHA76004,H,matrix EET83248,chondrules EET83248,CAIs EET83248,L,matrix LEW87248,chondrules LEW87248,CAIs LEW87248,matrix MET00489,chondrules MET00489,CAIs MET00489,matrix RBT04251,chondrules RBT04251,CAIs RBT04251,matrix TIL82408,chondrules TIL82408,CAIs TIL82408,CK,matrix ALH85002,chondrules ALH85002,CAIs ALH85002,matrix EET92002,chondrules EET92002,CAIs EET92002,CI,bulk Orgueil,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix ALH83100'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules ALH83100'}, {'subject': 'CAIs ALH83100'}, {'subject': 'matrix EET96029'}, {'subject': 'chondrules EET96029'}, {'subject': 'CAIs EET96029'}, {'subject': 'matrix ALH84033'}, {'subject': 'chondrules ALH84033'}, {'subject': 'CAIs ALH84033'}, {'subject': 'matrix ALH84044'}, {'subject': 'chondrules ALH84044'}, {'subject': 'CAIs ALH84044'}, {'subject': 'matrix Cold_Bokkeveld'}, {'subject': 'chondrules Cold_Bokkeveld'}, {'subject': 'CAIs Cold_Bokkeveld'}, {'subject': 'matrix DOM03183'}, {'subject': 'chondrules DOM03183'}, {'subject': 'CAIs DOM03183'}, {'subject': 'matrix LEW87022'}, {'subject': 'chondrules LEW87022'}, {'subject': 'CAIs LEW87022'}, {'subject': 'matrix LEW90500'}, {'subject': 'chondrules LEW90500'}, {'subject': 'CAIs LEW90500'}, {'subject': 'matrix MAC88100'}, {'subject': 'chondrules MAC88100'}, {'subject': 'CAIs MAC88100'}, {'subject': 'CV'}, {'subject': 'matrix MET00761'}, {'subject': 'chondrules MET00761'}, {'subject': 'CAIs MET00761'}, {'subject': 'matrix MET01070'}, {'subject': 'chondrules MET01070'}, {'subject': 'CAIs MET01070'}, {'subject': 'matrix MET01072'}, {'subject': 'chondrules MET01072'}, {'subject': 'CAIs MET01072'}, {'subject': 'matrix MET01075'}, {'subject': 'chondrules MET01075'}, {'subject': 'CAIs MET01075'}, {'subject': 'matrix MIL07700'}, {'subject': 'chondrules MIL07700'}, {'subject': 'CAIs MIL07700'}, {'subject': 'matrix Murchison'}, {'subject': 'chondrules Murchison'}, {'subject': 'CAIs Murchison'}, {'subject': 'matrix PCA02012'}, {'subject': 'chondrules PCA02012'}, {'subject': 'CAIs PCA02012'}, {'subject': 'matrix WIS91600'}, {'subject': 'chondrules WIS91600'}, {'subject': 'CAIs WIS91600'}, {'subject': 'matrix MET00432 IPAG'}, {'subject': 'chondrules MET00432 IPAG'}, {'subject': 'CAIs MET00432 IPAG'}, {'subject': 'CO'}, {'subject': 'matrix ALHA77003'}, {'subject': 'chondrules ALHA77003'}, {'subject': 'CAIs ALHA77003'}, {'subject': 'matrix DOM08006'}, {'subject': 'chondrules DOM08006'}, {'subject': 'CAIs DOM08006'}, {'subject': 'matrix MIL03377'}, {'subject': 'chondrules MIL03377'}, {'subject': 'CAIs MIL03377'}, {'subject': 'matrix MIL03442'}, {'subject': 'chondrules MIL03442'}, {'subject': 'CAIs MIL03442'}, {'subject': 'matrix MIL05013'}, {'subject': 'chondrules MIL05013'}, {'subject': 'CAIs MIL05013'}, {'subject': 'matrix MIL05024'}, {'subject': 'chondrules MIL05024'}, {'subject': 'CAIs MIL05024'}, {'subject': 'matrix MIL090010'}, {'subject': 'chondrules MIL090010'}, {'subject': 'CAIs MIL090010'}, {'subject': 'matrix MIL090038'}, {'subject': 'chondrules MIL090038'}, {'subject': 'CAIs MIL090038'}, {'subject': 'matrix MIL090073'}, {'subject': 'chondrules MIL090073'}, {'subject': 'CAIs MIL090073'}, {'subject': 'matrix MIL090785'}, {'subject': 'chondrules MIL090785'}, {'subject': 'CAIs MIL090785'}, {'subject': 'CR'}, {'subject': 'matrix EET92042'}, {'subject': 'chondrules EET92042'}, {'subject': 'CAIs EET92042'}, {'subject': 'matrix EET92159'}, {'subject': 'chondrules EET92159'}, {'subject': 'CAIs EET92159'}, {'subject': 'matrix GRA95229'}, {'subject': 'chondrules GRA95229'}, {'subject': 'CAIs GRA95229'}, {'subject': 'matrix GRO03116'}, {'subject': 'chondrules GRO03116'}, {'subject': 'CAIs GRO03116'}, {'subject': 'matrix LAP04720'}, {'subject': 'chondrules LAP04720'}, {'subject': 'CAIs LAP04720'}, {'subject': 'matrix MET00426'}, {'subject': 'chondrules MET00426'}, {'subject': 'CAIs MET00426'}, {'subject': 'matrix MIL090657'}, {'subject': 'chondrules MIL090657'}, {'subject': 'CAIs MIL090657'}, {'subject': 'Rumuruti-like chondrite'}, {'subject': 'R'}, {'subject': 'matrix PRE95411'}, {'subject': 'chondrules PRE95411'}, {'subject': 'CAIs PRE95411'}, {'subject': 'matrix QUE99177'}, {'subject': 'chondrules QUE99177'}, {'subject': 'CAIs QUE99177'}, {'subject': 'matrix ALHA81003'}, {'subject': 'chondrules ALHA81003'}, {'subject': 'CAIs ALHA81003'}, {'subject': 'matrix ALH85006'}, {'subject': 'chondrules ALH85006'}, {'subject': 'CAIs ALH85006'}, {'subject': 'matrix Axtell'}, {'subject': 'chondrules Axtell'}, {'subject': 'CAIs Axtell'}, {'subject': 'matrix Efremovka'}, {'subject': 'chondrules Efremovka'}, {'subject': 'CAIs Efremovka'}, {'subject': 'matrix Grosnaja'}, {'subject': 'chondrules Grosnaja'}, {'subject': 'CAIs Grosnaja'}, {'subject': 'matrix Kaba'}, {'subject': 'chondrules Kaba'}, {'subject': 'CAIs Kaba'}, {'subject': 'matrix LAP02206'}, {'subject': 'chondrules LAP02206'}, {'subject': 'CAIs LAP02206'}, {'subject': 'matrix LAR06317'}, {'subject': 'chondrules LAR06317'}, {'subject': 'CAIs LAR06317'}, {'subject': 'matrix MET00430 IPAG'}, {'subject': 'chondrules MET00430 IPAG'}, {'subject': 'CAIs MET00430 IPAG'}, {'subject': 'matrix MIL07671'}, {'subject': 'chondrules MIL07671'}, {'subject': 'CAIs MIL07671'}, {'subject': 'matrix Mokoia'}, {'subject': 'chondrules Mokoia'}, {'subject': 'CAIs Mokoia'}, {'subject': 'matrix RBT04133'}, {'subject': 'chondrules RBT04133'}, {'subject': 'CAIs RBT04133'}, {'subject': 'matrix RBT04302'}, {'subject': 'chondrules RBT04302'}, {'subject': 'CAIs RBT04302'}, {'subject': 'ordinary chondrite'}, {'subject': 'LL'}, {'subject': 'matrix Hamlet'}, {'subject': 'chondrules Hamlet'}, {'subject': 'CAIs Hamlet'}, {'subject': 'matrix ALHA76004'}, {'subject': 'chondrules ALHA76004'}, {'subject': 'CAIs ALHA76004'}, {'subject': 'H'}, {'subject': 'matrix EET83248'}, {'subject': 'chondrules EET83248'}, {'subject': 'CAIs EET83248'}, {'subject': 'L'}, {'subject': 'matrix LEW87248'}, {'subject': 'chondrules LEW87248'}, {'subject': 'CAIs LEW87248'}, {'subject': 'matrix MET00489'}, {'subject': 'chondrules MET00489'}, {'subject': 'CAIs MET00489'}, {'subject': 'matrix RBT04251'}, {'subject': 'chondrules RBT04251'}, {'subject': 'CAIs RBT04251'}, {'subject': 'matrix TIL82408'}, {'subject': 'chondrules TIL82408'}, {'subject': 'CAIs TIL82408'}, {'subject': 'CK'}, {'subject': 'matrix ALH85002'}, {'subject': 'chondrules ALH85002'}, {'subject': 'CAIs ALH85002'}, {'subject': 'matrix EET92002'}, {'subject': 'chondrules EET92002'}, {'subject': 'CAIs EET92002'}, {'subject': 'CI'}, {'subject': 'bulk Orgueil'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['60 spectra'],['ASCII']
-10.17178/zaa_soil_temp.all,Long term monitoring of near surface soil temperature in the french Alps,UGA â€“ OSUG â€“ ZAA,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the French Alps. Data are part of several research projects and monitoring programs examining the impact of climate change on snow cover dynamics, microclimate, species distribution and ecosystem functioning. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in Â°C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:29.000Z,2021-07-13T13:43:31.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.5281/zenodo.7307563,"Geochemical, timescales data in orthopyroxenes from Kizimen 2010 eruption and database of studies linking diffusion timescales with monitoring signals.",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset comprises the geochemical data on whole rock analysis, melt inclusions, residual glasses, magnetites and orthopyroxenes in samples from the 2010 eruption of Kizimen volcano (Kamchatka), as well as the timescales modelled in the orthopyroxenes and a database of studies linking diffusion timescales with monitoring signals, associated with the publication: Ostorero, L., Balcone-Boissard, H., Boudon, G. <em>et al.</em> Correlated petrology and seismicity indicate rapid magma accumulation prior to eruption of Kizimen volcano, Kamchatka. <em>Commun Earth Environ</em> <strong>3</strong>, 290 (2022). https://doi.org/10.1038/s43247-022-00622-3",mds,True,findable,0,0,0,0,0,2022-11-20T18:41:16.000Z,2022-11-20T18:41:17.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5501338,ATLAS Open Data 13 TeV analysis C++ framework,Zenodo,2020,en,Software,"European Union Public License 1.1,Open Access",A repository with 12 high energy physics analysis examples using the ATLAS Open Data 13 TeV dataset released in 2020. It is written in C++ and some bash scripts. * Documentation of the code: http://opendata.atlas.cern/release/2020/documentation/frameworks/cpp.html * Documentation of the analysis: http://opendata.atlas.cern/release/2020/documentation/physics/intro.html,mds,True,findable,0,0,1,0,0,2021-09-11T14:43:23.000Z,2021-09-11T14:43:24.000Z,cern.zenodo,cern,"ATLAS,HEP,physics,analysis,education,open source,LHC,outreach","[{'subject': 'ATLAS'}, {'subject': 'HEP'}, {'subject': 'physics'}, {'subject': 'analysis'}, {'subject': 'education'}, {'subject': 'open source'}, {'subject': 'LHC'}, {'subject': 'outreach'}]",,
-10.5281/zenodo.4776977,PACT-1D model version v1 for the CALNEX case study - output files,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","We provide model output files for the PACT-1D CalNex study discussed in Tuite et al., 2021 (DOI to follow). The PACT-1D source code used for this study are presented at: https://zenodo.org/record/4776419#.YKepky0Rpqs.",mds,True,findable,0,0,0,0,0,2021-05-21T00:47:18.000Z,2021-05-21T00:47:19.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_ml_20171220_001,Zr K edge XAS fluorescence of solution of Zr (5000ppm) in HCl (2.5 wt%) at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:02:46.000Z,2019-12-05T13:02:47.000Z,inist.sshade,mgeg,"laboratory,liquid solution,Solution of Zr (5000ppm) in HCl (2.5 wt%),laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'laboratory'}, {'subject': 'liquid solution'}, {'subject': 'Solution of Zr (5000ppm) in HCl (2.5 wt%)'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.15454/8uia76,Harmonized_Tree_Microhabitat_Dataset_Version_2020.03.30,Portail Data INRAE,2021,,Dataset,,"The datset describes observation of presence/absence of 11 groups of tree microhabitats on trees scatterred over Europe and Iran. Tree covariables are :species, DBH, management (last logging more/less 100 years) and site name.",mds,True,findable,69,11,0,1,0,2021-07-19T09:26:03.000Z,2021-07-19T09:49:32.000Z,rdg.prod,rdg,,,,
-10.6084/m9.figshare.16851135,Additional file 3 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Audiovisual,Creative Commons Attribution 4.0 International,Additional file 3: Movie 2. Videomicroscopy of wild-type NDPK-D HeLa clones.,mds,True,findable,0,0,93,1,0,2021-10-22T04:07:03.000Z,2021-10-22T04:07:05.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['6353394 Bytes'],
-10.26302/sshade/experiment_dt_20180117_009,Zr K edge XAS transmission of Zr metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-15T20:31:46.000Z,2019-11-15T20:31:47.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Zr,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Zr'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.5535532,"Satellite-observed surface flow speed within Russell sector, West Greenland, bi-weekly average of 2015-2019",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","An average horizontal surface ice velocity of Russell sector (Greenland) with 2-week temporal and 150m spatial resolution. Derived from satellite images collected between 2015 and 2019 by Landsat-8, Sentinel-1, and Sentinel-2. The details on the data processing can be found in https://doi.org/10.5194/tc-2021-170. <br> Dataset contains 24 independent NetCDF files (one per 2-weeks time step) with maps of vx and vy velocity components, maps of associated uncertainties per velocity component (STD of the 2-weeks averaged raw satellite measurements), and map of number of averaged measurements.",mds,True,findable,0,0,0,0,0,2021-10-05T10:02:05.000Z,2021-10-05T10:02:07.000Z,cern.zenodo,cern,"ice flow speed, seasonal, satellite measurements, Greenland, Russell","[{'subject': 'ice flow speed, seasonal, satellite measurements, Greenland, Russell'}]",,
-10.57745/ruqljl,"Draix-Bleone Observatory spatial data: catchment boundaries, instrument locations and DEM",Recherche Data Gouv,2023,,Dataset,,"This dataset contains spatial information for Draix-Bleone Observatory, including catchment boundaries for the Laval, Moulin, Brusquet, Roubine, Francon, Bouinenc and Galabre catchments, instrument locations, and high-resolution topographic data (DEM) for the Laval, Moulin, Roubine, and Brusquet catchments.",mds,True,findable,24,0,0,0,0,2023-07-03T14:42:16.000Z,2023-07-17T09:46:47.000Z,rdg.prod,rdg,,,,
-10.26302/sshade/bandlist_raman_alpha_na2caco3-2,Raman bandlist of synthetic alpha-Na2Ca(CO3)2 (Nyerereite),SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of synthetic $\alpha-Na_2Ca(CO_3)_2$ (Nyerereite) at 295K,mds,True,findable,0,0,3,0,0,2023-09-08T07:10:41.000Z,2023-09-08T07:10:42.000Z,inist.sshade,mgeg,"$Na_2Ca(CO_3)_2$ - phase alpha,Sodium cation,Calcium cation,Carbonate anion,alpha Dinatrium calcium carbonate,$\alpha-Na_2Ca(CO_3)_2$,Sodium(1+) cation,Calcium(2+) cation,17341-25-2,14127-61-8,Na+,Ca2+,(CO3)2-,Na2Ca(CO3)2,normal salt,normal salts,carbonate,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': '$Na_2Ca(CO_3)_2$ - phase alpha', 'subjectScheme': 'name'}, {'subject': 'Sodium cation', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'alpha Dinatrium calcium carbonate', 'subjectScheme': 'name'}, {'subject': '$\\alpha-Na_2Ca(CO_3)_2$', 'subjectScheme': 'name'}, {'subject': 'Sodium(1+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '17341-25-2', 'subjectScheme': 'CAS number'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': 'Na+', 'subjectScheme': 'formula'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'Na2Ca(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'normal salt', 'subjectScheme': 'class'}, {'subject': 'normal salts', 'subjectScheme': 'class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5281/zenodo.7189647,Cophylogeny reconstruction allowing for multiple associations through approximate Bayesian computation,Zenodo,2022,,Software,"CeCILL Free Software License Agreement v2.0,Open Access","Nowadays, the most used method in studies of the coevolution of hosts and symbionts is phylogenetic tree reconciliation. A crucial issue in this method is that from a biological point of view, reasonable cost values for an event-based parsimonious reconciliation are not easily chosen. Different approaches have been developed to infer such cost values for a given pair of host and symbiont trees. However, a major limitation of these approaches is their inability to model the invasion of different host species by the same symbiont species (referred to as a spread event), which is thought to happen in symbiotic relations. To mention one example, the same species of insects may pollinate different species of plants. This results in multiple associations observed between the symbionts and their hosts (meaning that a symbiont is no longer specific to a host), that are not compatible with the current methods of coevolution. In this paper, we propose a method, called AmoCoala (a more realistic version of a previous tool called Coala) which for a given pair of host and symbiont trees, estimates the probabilities of the cophylogeny events, in presence of spread events, relying on an approximate Bayesian computation (ABC) approach. The algorithm that we propose, by including spread events, enables the multiple associations to be taken into account in a more accurate way, inducing more confidence in the estimated sets of costs and thus in the reconciliation of a given pair of host and symbiont trees. Its rooting in the tool Coala allows it to estimate the probabilities of the events even in the case of large datasets. We evaluate our method on synthetic and real datasets.",mds,True,findable,0,0,0,0,0,2022-10-25T22:13:45.000Z,2022-10-25T22:13:46.000Z,cern.zenodo,cern,"reconciliation,cophylogeny,ABC method,spread","[{'subject': 'reconciliation'}, {'subject': 'cophylogeny'}, {'subject': 'ABC method'}, {'subject': 'spread'}]",,
-10.48380/cwsp-mj37,"In-situ hydrolysis rate constants of ATP as a function of p-T-X, exploring the limits of life",Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV),2023,en,Text,,"<p>In recent decades varies extremophiles were found deep in the lithosphere. Experimental studies showed that life is possible at 121 Â°C (Takai et al. 2008) and the gigapascal range (Sharma et al. 2002), which is beyond the p-T-range of the investigated lithosphere. Knowledge on the kinetic stability of vital molecular compounds, like ATP, can help us constraining the conditions possible for life.</p>
-<p>All metabolism relies on the exergonic enzymatic hydrolysis of adenosine triphosphate (ATP) to adenosine diphosphate (ADP). At elevated temperatures, the enhanced kinetics of the non-enzymatic hydrolysis counteracts the enzymatic driven reaction; hence, it will limit the bioavailability of ATP.</p>
-<p>We used an autoclave and a hydrothermal diamond anvil cell attached to a Raman spectrometer for in-situ investigation of the p-T-X-effects on the kinetics of the non-enzymatic ATP hydrolysis. At vapor pressure the half-lives were about 2-5 mins at 120 Â°C (Moeller et al. 2022). Up to 140 MPa, all results show an Arrhenian relationship in the T-range of 80-120 Â°C. The pressure effect can be best described by a power law; below 500 MPa the p-effect is vanishingly small, and above the rate constant increases exponentially. Addition of MgCl<sub>2</sub> up too 4 wt% slows down the hydrolysis. A distinguished effect of NaCl and CaCl<sub>2</sub> was not observed.Â Â </p>
-<p>The proposed limit for ATP-based life of 195 Â°C by Moeller et al. (2022) is lowered by additional pressure or elevated by MgCl<sub>2</sub>, respectively. These observations strengthen the idea that life could exist far deeper in the lithosphere as discovered yet.</p>
-",api,True,findable,0,0,0,0,0,2023-12-11T19:41:41.000Z,2023-12-11T19:41:41.000Z,mcdy.dohrmi,mcdy,,,,
-10.6084/m9.figshare.22617740,"Additional file 1 of Individual and environmental determinants associated with longer times to access pediatric rheumatology centers for patients with juvenile idiopathic arthritis, a JIR cohort study",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Location of the 20 pediatric rheumatology centers (using Google Maps).,mds,True,findable,0,0,0,0,0,2023-04-13T16:35:35.000Z,2023-04-13T16:35:36.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Ecology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['99200 Bytes'],
-10.26302/sshade/experiment_zed_20230626_01,MIR reflectance spectra of Mercury minerals analogs heated up to 673 K,SSHADE/DAYSY (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR reflectance spectra of Mercury minerals analogs (anorthite 80 and synthetic volcanic glasses) heated by 50K step up to 673 K..,mds,True,findable,0,0,2,0,0,2023-07-10T14:21:09.000Z,2023-07-10T14:21:10.000Z,inist.sshade,mgeg,"laboratory measurement,confocal reflection,micro-imaging,MIR,Mid-Infrared,reflectance factor,Bytownite,volcanic glasses,mineral,natural terrestrial,laboratory,silicate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'confocal reflection', 'subjectScheme': 'main'}, {'subject': 'micro-imaging', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Bytownite', 'subjectScheme': 'name'}, {'subject': 'volcanic glasses', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'silicate', 'subjectScheme': 'compound type'}]",['24 spectra'],['ASCII']
-10.5281/zenodo.8181417,"Code used in the Publication ""Coated microbubbles exploit shell buckling to swim"" submitted to Nature Communications Engineering 2023",Zenodo,2023,en,Software,"Creative Commons Attribution 4.0 International,Open Access","This is the code used for the simulations that have been performed for the Article ""Coated microbubbles exploit shell buckling to swim"" submitted to Nature Communications Engineering 2023 authored by Georges Chabouh, Marcel Mokbel, Benjamin van Elburg, Michel Versluis, Tim<br> Segers, Sebastian Aland, Catherine Quilliet, and Gwennou Coupier. Responsible for the code are Marcel Mokbel and Sebastian Aland. Paper abstract: Cleverly engineered microswimmers show great promise in various biomedical applications. Current realizations are generally<br> either too slow, hardly manoeuvrable, or non biocompatible. To overcome these limitations, we consider lipid coated microbub-<br> bles that are already approved for clinical use as diagnostic ultrasound contrast agents. Through a combination of experiments<br> and numerical simulations, we investigate the swimming motion of these microbubbles under external cyclic overpressure.<br> Reproducible and non-destructive cycles of deflation and re-inflation of the microbubble generate a net displacement, through<br> hysteretic buckling events. Our model predicts swimming speeds of the order of m/s, which falls in the range of blood flow<br> velocity in large vessels. Unlike the acoustic radiation force technique, where the displacement is always directed along the<br> axis of ultrasound propagation, here, the direction of propulsion is controlled in the shell reference frame. This provides a<br> solution toward controlled steering in ultrasound molecular imaging and drug delivery.",mds,True,findable,0,0,0,0,0,2023-07-25T08:15:48.000Z,2023-07-25T08:15:49.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_ak_20141106_1,Mid-infrared attenuated total reflectance experiment with Na+ exchanged less 2 Î¼m size fraction of synthetic saponite equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-09T05:11:39.000Z,2019-12-09T05:11:39.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Na-exchanged saponite SAP size-fraction &lt;2 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-exchanged saponite SAP size-fraction &lt;2 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['4 spectra'],['ASCII']
-10.26302/sshade/bandlist_abs_ch3oh_am-ch3oh,Absorption band list of CH3OH in natural solid CH3OH (amorphous phase),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",VUV-NIR-MIR-FIR absorption band list of the isotopes of $CH_3OH$ in natural solid $CH_3OH$ (amorphous phase),mds,True,findable,0,0,0,0,0,2023-04-21T07:08:35.000Z,2023-04-21T07:08:36.000Z,inist.sshade,mgeg,"natural CH3OH - amorphous,Methanol,amorphous Methanol,amorphous $CH_3OH$,Methanol,67-56-1,CH3OH,hydrogen bonded molecular solid,molecular solids with hydrogen bonded molecules,organic molecular solid,absorption,VUV,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural CH3OH - amorphous', 'subjectScheme': 'name'}, {'subject': 'Methanol', 'subjectScheme': 'name'}, {'subject': 'amorphous Methanol', 'subjectScheme': 'name'}, {'subject': 'amorphous $CH_3OH$', 'subjectScheme': 'name'}, {'subject': 'Methanol', 'subjectScheme': 'IUPAC name'}, {'subject': '67-56-1', 'subjectScheme': 'CAS number'}, {'subject': 'CH3OH', 'subjectScheme': 'formula'}, {'subject': 'hydrogen bonded molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with hydrogen bonded molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'VUV', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.6084/m9.figshare.c.6424523,Dry powders reflectance model based on enhanced back-scattering: case of hematite Î±-Feâ‚‚Oâ‚ƒ,Optica Publishing Group,2023,,Collection,Creative Commons Attribution 4.0 International,"By performing Bidirectionnal Reflectance Distribution Function (BRDF) measurements, we have identified back-scattering as the main phenomena involved in the appearance of dry nano-crystallized powders. We introduce an analytical and physically-based BRDF model that relies on the enhanced back-scattering theory to accurately reproduce BRDF measurements. These experimental data were performed on optically thick layers of dry powders with various grainsâ€™ morphologies. Our results are significantly better than the ones obtained with previous models. Our model has been validated against the BRDF measurements of multiple synthesized nano-crystallized and mono-disperse ð›¼ âˆ’ Fe2O3 hematite powders. Finally, we discuss the ability of our model to be extended to other materials or more complex powder morphologies.",mds,True,findable,0,0,0,0,0,2023-09-01T15:03:20.000Z,2023-09-01T15:03:21.000Z,figshare.ars,otjm,Uncategorized,[{'subject': 'Uncategorized'}],,
-10.5061/dryad.c670tq2,Data from: On-demand sildenafil as a treatment for Raynaud phenomenon: a series of n-of-1 trials,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Background: Treatment of Raynaud phenomenon (RP) with phosphodiesterase-5 inhibitors has shown moderate efficacy. Adverse effects decrease the riskâ€“benefit profile of these drugs, and patients may not be willing to receive long-term treatment. On-demand single doses before or during exposure to cold may be a good alternative. Objective: To assess the efficacy and safety of on-demand sildenafil in RP. Design: Series of randomized, double-blind, n-of-1 trials. (ClinicalTrials.gov: NCT02050360). Setting: Outpatients at a French university hospital. Participants: Patients with primary or secondary RP. Intervention: Each trial consisted of a multiple crossover study in a single patient. Repeat blocks of 3 periods of on-demand treatment were evaluated: 1 week of placebo, 1 week of sildenafil at 40 mg per dose, and 1 week of sildenafil at 80 mg per dose, with a maximum of 2 doses daily. Measurements: Raynaud Condition Score (RCS) and frequency and daily duration of attacks. Skin blood flow in response to cooling also was assessed with laser speckle contrast imaging. Mixed-effects models were used and parameters were estimated in a Bayesian framework to determine individual and aggregated efficacy. Results: 38 patients completed 2 to 5 treatment blocks. On the basis of aggregated data, the probability that sildenafil at 40 mg or 80 mg was more effective than placebo was greater than 90% for all outcomes (except for RCS with sildenafil, 80 mg). However, the aggregated effect size was not clinically relevant. Yet, substantial heterogeneity in sildenafil's efficacy was observed among participants, with clinically relevant efficacy in some patients. Limitation: The response to sildenafil was substantially heterogeneous among patients. Conclusion: Despite a high probability that sildenafil is superior to placebo, substantial heterogeneity was observed in patient response and aggregated results did not show that on-demand sildenafil has clinically relevant efficacy. In this context, the use of n-of-1 trials may be an original and relevant approach in RP.",mds,True,findable,398,40,1,2,0,2019-01-25T15:09:07.000Z,2019-01-25T15:09:08.000Z,dryad.dryad,dryad,"Raynaud,sildenafil,n-of-1 trial","[{'subject': 'Raynaud'}, {'subject': 'sildenafil'}, {'subject': 'n-of-1 trial'}]",['498012 bytes'],
-10.26302/sshade/experiment_lb_20221017_001,Bulk-rock FTIR MIR spectra of CR chondrites,SSHADE/GhoSST (OSUG Data Center),2024,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Bulk-rock FTIR MIR spectra of CR chondrites, normalized to the maximum intensity of the Si-O stretching band",mds,True,findable,0,0,0,0,0,2024-02-21T14:20:02.000Z,2024-02-21T14:20:02.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,normalized absorbance,matrix MAC87320,chondrules MAC87320,CAIs MAC87320,adsorbed phase,KBr,adsorbed water on KBr (Beck14),matrix NWA14499,chondrules NWA14499,CAIs NWA14499,matrix NWA13724,chondrules NWA13724,CAIs NWA13724,matrix QUE94603,chondrules QUE94603,CAIs QUE94603,matrix MET00426,chondrules MET00426,CAIs MET00426,matrix NWA14250,chondrules NWA14250,CAIs NWA14250,matrix MIL090657,chondrules MIL090657,CAIs MIL090657,matrix QUE99177,chondrules QUE99177,CAIs QUE99177,matrix LAP04516,chondrules LAP04516,CAIs LAP04516,chondrules EET92159,matrix EET92159,matrix EET92042,chondrules EET92042,CAIs EET92042,matrix GRA95229,chondrules GRA95229,CAIs GRA95229,matrix LAP04720,chondrules LAP04720,CAIs LAP04720,matrix GRA06100,chondrules GRA06100,CAIs GRA06100,matrix DOM10085,chondrules DOM10085,CAIs DOM10085,matrix BUC10933,chondrules BUC10933,CAIs BUC10933,matrix NWA12474,chondrules NWA12474,CAIs NWA12474,matrix GRO17060,chondrules GRO17060,CAIs GRO17060,matrix Renazzo,chondrules Renazzo,CAIs Renazzo,matrix MIL090001,chondrules MIL090001,CAIs MIL090001,matrix GRO95577,chondrules GRO95577,CAIs GRO95577,extraterrestrial,commercial,complex organic-mineral mix,complex mineral mix,physically adsorbed phase,bromide","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'transmission', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'normalized absorbance', 'subjectScheme': 'variables'}, {'subject': 'matrix MAC87320', 'subjectScheme': 'name'}, {'subject': 'chondrules MAC87320', 'subjectScheme': 'name'}, {'subject': 'CAIs MAC87320', 'subjectScheme': 'name'}, {'subject': 'adsorbed phase', 'subjectScheme': 'name'}, {'subject': 'KBr', 'subjectScheme': 'name'}, {'subject': 'adsorbed water on KBr (Beck14)', 'subjectScheme': 'name'}, {'subject': 'matrix NWA14499', 'subjectScheme': 'name'}, {'subject': 'chondrules NWA14499', 'subjectScheme': 'name'}, {'subject': 'CAIs NWA14499', 'subjectScheme': 'name'}, {'subject': 'matrix NWA13724', 'subjectScheme': 'name'}, {'subject': 'chondrules NWA13724', 'subjectScheme': 'name'}, {'subject': 'CAIs NWA13724', 'subjectScheme': 'name'}, {'subject': 'matrix QUE94603', 'subjectScheme': 'name'}, {'subject': 'chondrules QUE94603', 'subjectScheme': 'name'}, {'subject': 'CAIs QUE94603', 'subjectScheme': 'name'}, {'subject': 'matrix MET00426', 'subjectScheme': 'name'}, {'subject': 'chondrules MET00426', 'subjectScheme': 'name'}, {'subject': 'CAIs MET00426', 'subjectScheme': 'name'}, {'subject': 'matrix NWA14250', 'subjectScheme': 'name'}, {'subject': 'chondrules NWA14250', 'subjectScheme': 'name'}, {'subject': 'CAIs NWA14250', 'subjectScheme': 'name'}, {'subject': 'matrix MIL090657', 'subjectScheme': 'name'}, {'subject': 'chondrules MIL090657', 'subjectScheme': 'name'}, {'subject': 'CAIs MIL090657', 'subjectScheme': 'name'}, {'subject': 'matrix QUE99177', 'subjectScheme': 'name'}, {'subject': 'chondrules QUE99177', 'subjectScheme': 'name'}, {'subject': 'CAIs QUE99177', 'subjectScheme': 'name'}, {'subject': 'matrix LAP04516', 'subjectScheme': 'name'}, {'subject': 'chondrules LAP04516', 'subjectScheme': 'name'}, {'subject': 'CAIs LAP04516', 'subjectScheme': 'name'}, {'subject': 'chondrules EET92159', 'subjectScheme': 'name'}, {'subject': 'matrix EET92159', 'subjectScheme': 'name'}, {'subject': 'matrix EET92042', 'subjectScheme': 'name'}, {'subject': 'chondrules EET92042', 'subjectScheme': 'name'}, {'subject': 'CAIs EET92042', 'subjectScheme': 'name'}, {'subject': 'matrix GRA95229', 'subjectScheme': 'name'}, {'subject': 'chondrules GRA95229', 'subjectScheme': 'name'}, {'subject': 'CAIs GRA95229', 'subjectScheme': 'name'}, {'subject': 'matrix LAP04720', 'subjectScheme': 'name'}, {'subject': 'chondrules LAP04720', 'subjectScheme': 'name'}, {'subject': 'CAIs LAP04720', 'subjectScheme': 'name'}, {'subject': 'matrix GRA06100', 'subjectScheme': 'name'}, {'subject': 'chondrules GRA06100', 'subjectScheme': 'name'}, {'subject': 'CAIs GRA06100', 'subjectScheme': 'name'}, {'subject': 'matrix DOM10085', 'subjectScheme': 'name'}, {'subject': 'chondrules DOM10085', 'subjectScheme': 'name'}, {'subject': 'CAIs DOM10085', 'subjectScheme': 'name'}, {'subject': 'matrix BUC10933', 'subjectScheme': 'name'}, {'subject': 'chondrules BUC10933', 'subjectScheme': 'name'}, {'subject': 'CAIs BUC10933', 'subjectScheme': 'name'}, {'subject': 'matrix NWA12474', 'subjectScheme': 'name'}, {'subject': 'chondrules NWA12474', 'subjectScheme': 'name'}, {'subject': 'CAIs NWA12474', 'subjectScheme': 'name'}, {'subject': 'matrix GRO17060', 'subjectScheme': 'name'}, {'subject': 'chondrules GRO17060', 'subjectScheme': 'name'}, {'subject': 'CAIs GRO17060', 'subjectScheme': 'name'}, {'subject': 'matrix Renazzo', 'subjectScheme': 'name'}, {'subject': 'chondrules Renazzo', 'subjectScheme': 'name'}, {'subject': 'CAIs Renazzo', 'subjectScheme': 'name'}, {'subject': 'matrix MIL090001', 'subjectScheme': 'name'}, {'subject': 'chondrules MIL090001', 'subjectScheme': 'name'}, {'subject': 'CAIs MIL090001', 'subjectScheme': 'name'}, {'subject': 'matrix GRO95577', 'subjectScheme': 'name'}, {'subject': 'chondrules GRO95577', 'subjectScheme': 'name'}, {'subject': 'CAIs GRO95577', 'subjectScheme': 'name'}, {'subject': 'extraterrestrial', 'subjectScheme': 'origin'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'complex organic-mineral mix', 'subjectScheme': 'compound type'}, {'subject': 'complex mineral mix', 'subjectScheme': 'compound type'}, {'subject': 'physically adsorbed phase', 'subjectScheme': 'compound type'}, {'subject': 'bromide', 'subjectScheme': 'compound type'}]",['21 spectra'],['ASCII']
-10.26302/sshade/bandlist_abs_c2h2_meta-c2h2,Absorption band list of C2H2 in natural solid C2H2 (metastable phase),SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR absorption band list of $C_2H_2$ in natural solid $C_2H_2$ (metastable phase) at 50 K,mds,True,findable,0,0,0,0,0,2023-05-07T10:50:15.000Z,2023-05-07T10:50:15.000Z,inist.sshade,mgeg,"natural C2H2 - Metastable phase,Ethyne,metastable Acetylene ice,metastable C2H2,Ethyne,74-86-2,C2H2,non polar molecular solid,molecular solids with apolar molecules,organic molecular solid,absorption,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural C2H2 - Metastable phase', 'subjectScheme': 'name'}, {'subject': 'Ethyne', 'subjectScheme': 'name'}, {'subject': 'metastable Acetylene ice', 'subjectScheme': 'name'}, {'subject': 'metastable C2H2', 'subjectScheme': 'name'}, {'subject': 'Ethyne', 'subjectScheme': 'IUPAC name'}, {'subject': '74-86-2', 'subjectScheme': 'CAS number'}, {'subject': 'C2H2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.26302/sshade/experiment_gs_20170713_007,Ag K edge XAS fluorescence of frozen AgNO3 solution,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T09:32:18.000Z,2019-12-05T09:32:19.000Z,inist.sshade,mgeg,"laboratory,molecular solid solution,Frozen AgNO3 solution,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'laboratory'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen AgNO3 solution'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.7928522,Data Assimilation of realistic SWOT satellite observations,Zenodo,2020,en,Other,"Creative Commons Attribution 4.0 International,Open Access","For the past 25 years, satellite altimetry has produced Sea Surface Height (SSH) maps which have allowed oceanographers to study large-scale ocean dynamics (&gt; 200km). However, the small scales of ocean circulation play a key role in a variety of natural phenomena. In order to research on finer scale ocean dynamics, the future SWOT mission will provide the capability of making measurements of SSH with unprecedented resolution. This will bring challenges to the current data processing techniques and therefore, more advanced techniques are being developed. One such technique is the Back-and-Forth Nudging (BFN) data assimilation<br> method which provides SSH maps consistent with both real-world measurements and the physics of a numerical ocean model. The objective of this project is to test and evaluate different strategies for implementing the BFN method with realistic SWOT observations accounting for both noise and errors. The results show that, for a low signal-to-noise ratio region, de-noising the SWOT observations<br> is essential for a good performance of BFN. Under de-noised observations, the best strategy was found to be by nudging only the relative vorticity (RV) term. This strategy reconstructed SSH fields with an effective resolution of 60 km and RMSE score of 0.81. For a region with high signal-to-noise ratio, the BFN method appeared robust to noisy observations. Once again, it was found that after denoising observations, the best strategy was nudging the RV term only. This strategy reconstructed SSH fields with an effective resolution of 89.9 km and RMSE score of 0.86.",mds,True,findable,0,0,0,0,0,2023-05-12T08:50:17.000Z,2023-05-12T08:50:18.000Z,cern.zenodo,cern,"Data Assimilation,Ocean Surface,Satellite Altimetry,Quasi-Geostrophic Model","[{'subject': 'Data Assimilation'}, {'subject': 'Ocean Surface'}, {'subject': 'Satellite Altimetry'}, {'subject': 'Quasi-Geostrophic Model'}]",,
-10.26302/sshade/experiment_ak_20141119_1,Mid-infrared attenuated total reflectance experiment with Ca2+ exchanged less 1 Î¼m size fraction of beidellite (SbCa-1) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:15:26.000Z,2022-11-04T08:15:26.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Ca-exchanged beidellite SbCa-1 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Ca-exchanged beidellite SbCa-1 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['4 spectra'],['ASCII']
-10.17178/emaa_hnc3_rotation_96dd18c8,Rotation excitation of HNC3 by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",31 rotation energy levels / 30 radiative transitions / 465 collisional transitions for para-H2 (10 temperatures in the range 5-80K) / 465 collisional transitions for ortho-H2 (10 temperatures in the range 5-80K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:09.000Z,2021-11-17T14:01:10.000Z,inist.osug,jbru,"target HNC3,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HNC3', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.3813230,"Survey data of ""Mapping Research Output to the Sustainable Development Goals (SDGs)""",Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>This dataset contains information on what papers and concepts researchers find relevant to map domain specific research output to the 17 Sustainable Development Goals (SDGs).</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as proof of practice.) In order to validate our current classification model (on soundness/precision and completeness/recall), and receive input for improvement, a survey has been conducted to<strong> capture expert knowledge from senior researchers in their research domain related to the SDG</strong>. The survey was open to the world, but mainly distributed to researchers from the Aurora Universities Network. <strong>The survey was open from October 2019 till January 2020, and captured data from 244 respondents in Europe and North America.</strong> 17 surveys were created from a single template, where the content was made specific for each SDG. Content, like a random set of publications, of each survey was ingested by a data provisioning server. That collected research output metadata for each SDG in an earlier stage. It took on average 1 hour for a respondent to complete the survey.<strong> The outcome of the survey data can be used for validating current and optimizing future SDG classification models for mapping research output to the SDGs</strong>. <strong>The survey contains the following questions (see inside dataset for exact wording):</strong> <strong>Are you familiar with this SDG?</strong> Respondents could only proceed if they were familiar with the targets and indicators of this SDG. Goal of this question was to weed out un knowledgeable respondents and to increase the quality of the survey data. <strong>Suggest research papers that are relevant for this SDG (upload list)</strong> This question, to provide a list, was put first to reduce influenced by the other questions. Goal of this question was to measure the completeness/recall of the papers in the result set of our current classification model. (To lower the bar, these lists could be provided by either uploading a file from a reference manager (preferred) in .ris of bibtex format, or by a list of titles. This heterogenous input was processed further on by hand into a uniform format.) <strong>Select research papers that are relevant for this SDG (radio buttons: accept, reject)</strong> A randomly selected set of 100 papers was injected in the survey, out of the full list of thousands of papers in the result set of our current classification model. Goal of this question was to measure the soundness/precision of our current classification model. <strong>Select and Suggest Keywords related to SDG (checkboxes: accept | text field: suggestions)</strong> The survey was injected with the top 100 most frequent keywords that appeared in the metadata of the papers in the result set of the current classification model. respondents could select relevant keywords we found, and add ones in a blank text field. Goal of this question was to get suggestions for keywords we can use to increase the recall of relevant papers in a new classification model. <strong>Suggest SDG related glossaries with relevant keywords (text fields: url)</strong> Open text field to add URL to lists with hundreds of relevant keywords related to this SDG. Goal of this question was to get suggestions for keywords we can use to increase the recall of relevant papers in a new classification model. <strong>Select and Suggest Journals fully related to SDG (checkboxes: accept | text field: suggestions)</strong> The survey was injected with the top 100 most frequent journals that appeared in the metadata of the papers in the result set of the current classification model. Respondents could select relevant journals we found, and add ones in a blank text field. Goal of this question was to get suggestions for complete journals we can use to increase the recall of relevant papers in a new classification model. <strong>Suggest improvements for the current queries (text field: suggestions per target)</strong> We showed respondents the queries we used in our current classification model next to each of the targets within the goal. Open text fields were presented to change, add, re-order, delete something (keywords, boolean operators, etc. ) in the query to improve it in their opinion. Goal of this question was to get suggestions we can use to increase the recall and precision of relevant papers in a new classification model. <strong>In the dataset root you'll find the following folders and files:</strong> <strong>/00-survey-input/</strong> This contains the survey questions for all the individual SDGs. It also contains lists of EIDs categorised to the SDGs we used to make randomized selections from to present to the respondents. <strong>/01-raw-data/</strong> This contains the raw survey output. (Excluding privacy sensitive information for public release.) This data needs to be combined with the data on the provisioning server to make sense. <strong>/02-aggregated-data/</strong> This data is where individual responses are aggregated. Also the survey data is combined with the provisioning server, of all sdg surveys combined, responses are aggregated, and split per question type. <strong>/03-scripts/</strong> This contains scripts to split data, and to add descriptive metadata for text analysis in a later stage. <strong>/04-processed-data/</strong> This is the main final result that can be used for further analysis. Data is split by SDG into subdirectories, in there you'll find files per question type containing the aggregated data of the respondents. <strong>/images/</strong> images of the results used in this README.md. <strong>LICENSE.md</strong> terms and conditions for reusing this data. <strong>README.md</strong> description of the dataset; each subfolders contains a README.md file to futher describe the content of each sub-folder. <strong>In the /04-processed-data/ you'll find in each SDG sub-folder the following files.:</strong> <strong>SDG-survey-questions.pdf</strong> This file contains the survey questions <strong>SDG-survey-questions.doc</strong> This file contains the survey questions <strong>SDG-survey-respondents-per-sdg.csv</strong> Basic information about the survey and responses <strong>SDG-survey-city-heatmap.csv</strong> Origin of the respondents per SDG survey <strong>SDG-survey-suggested-publications.txt</strong> Formatted list of research papers researchers have uploaded or listed they want to see back in the result-set for this SDG. <strong>SDG-survey-suggested-publications-with-eid-match.csv</strong> same as above, only matched with an EID. EIDs are matched my Elsevier's internal fuzzy matching algorithm. Only papers with high confidence are show with a match of an EID, referring to a record in Scopus. <strong>SDG-survey-selected-publications-accepted.csv</strong> Based on our previous result set of papers, researchers were presented random samples, they selected papers they believe represent this SDG. (TRUE=accepted) <strong>SDG-survey-selected-publications-rejected.csv</strong> Based on our previous result set of papers, researchers were presented random samples, they selected papers they believe not to represent this SDG. (FALSE=rejected) <strong>SDG-survey-selected-keywords.csv</strong> Based on our previous result set of papers, we presented researchers the keywords that are in the metadata of those papers, they selected keywords they believe represent this SDG. <strong>SDG-survey-unselected-keywords.csv</strong> As ""selected-keywords"", this is the list of keywords that respondents have not selected to represent this SDG. <strong>SDG-survey-suggested-keywords.csv</strong> List of keywords researchers suggest to use to find papers related to this SDG <strong>SDG-survey-glossaries.csv</strong> List of glossaries, containing keywords, researchers suggest to use to find papers related to this SDG <strong>SDG-survey-selected-journals.csv</strong> Based on our previous result set of papers, we presented researchers the journals that are in the metadata of those papers, they selected journals they believe represent this SDG. <strong>SDG-survey-unselected-journals.csv</strong> As ""selected-journals"", this is the list of journals that respondents have not selected to represent this SDG. <strong>SDG-survey-suggested-journals.csv</strong> List of journals researchers suggest to use to find papers related to this SDG <strong>SDG-survey-suggested-query.csv</strong> List of query improvements researchers suggest to use to find papers related to this SDG <strong>Cite as:</strong> <em>Survey data of ""Mapping Research output to the SDGs""</em> by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385 <strong>Attribute as:</strong> <em><strong>Survey data of ""Mapping Research output to the SDGs</strong>""</em> by Aurora Universities Network (AUR); Alessandro Arienzo (UNA); Roberto Delle Donne (UNA); Ignasi SalvadÃ³ Estivill (URV); JosÃ© Luis GonzÃ¡lez Ugarte (URV); Didier Vercueil (UGA); Nykohla Strong (UAB); Eike Spielberg (UDE); Felix Schmidt (UDE); Linda Hasse (UDE); Ane Sesma (UEA); Baldvin Zarioh (UIC); Friedrich Gaigg (UIN); RenÃ© Otten (VUA); Nicolien van der Grijp (VUA); Yasin Gunes (VUA); Peter van den Besselaar (VUA); Joeri Both (VUA); Maurice Vanderfeesten (VUA);<strong> is licensed under a Creative Commons Attribution 4.0 International License.</strong> https://aurora-network.global/project/sdg-analysis-bibliometrics-relevance/",mds,True,findable,0,0,0,1,0,2020-05-07T09:14:10.000Z,2020-05-07T09:14:10.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Mapping Research,Matching Research,Recision,Recall,Survey,Questionnaire,Aurora Universites,Classification model","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Mapping Research'}, {'subject': 'Matching Research'}, {'subject': 'Recision'}, {'subject': 'Recall'}, {'subject': 'Survey'}, {'subject': 'Questionnaire'}, {'subject': 'Aurora Universites'}, {'subject': 'Classification model'}]",,
-10.26302/sshade/experiment_lb_20201103_001,Mid-IR absorbance spectra of bulk CO chondrites in KBr pellets under ambient conditions of temperature and pressure,SSHADE/GhoSST (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR absorbance spectra of bulk CO chondrites (ALHA77003, ALH83108, ALH85003, DOM03238, DOM08006, EET92126, Kainsaz, LAP031117, MET00737, MIL05024, MIL07187, MIL07193, MIL07687, MIL07709, Moss, QUE97416) in KBr pellets under ambient conditions of temperature and pressure",mds,True,findable,0,0,0,0,0,2022-10-13T13:24:34.000Z,2022-10-13T13:24:35.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix ALHA77003,complex mineral mix,chondrules ALHA77003,CAIs ALHA77003,physically adsorbed phase,adsorbed water on ALHA77003 bulk,commercial,bromide,KBr,matrix DOM08006,chondrules DOM08006,CAIs DOM08006,adsorbed phase,matrix DOM03238,chondrules DOM03238,CAIs DOM03238,matrix MIL07709,chondrules MIL07709,CAIs MIL07709,adsorbed water on MIL07709 bulk,matrix LAP031117,chondrules LAP031117,CAIs LAP031117,matrix EET92126,chondrules EET92126,CAIs EET92126,adsorbed water on EET92126 bulk,matrix MIL07687,chondrules MIL07687,CAIs MIL07687,matrix Moss,chondrules Moss,CAIs Moss,adsorbed water on Moss bulk,matrix ALH83108,chondrules ALH83108,CAIs ALH83108,adsorbed water on ALH83108 bulk,matrix ALH85003,chondrules ALH85003,CAIs ALH85003,adsorbed water on ALH85003 bulk,matrix MET00737,chondrules MET00737,CAIs MET00737,adsorbed water on MET00737 bulk,matrix QUE97416,chondrules QUE97416,CAIs QUE97416,adsorbed water on QUE97416 bulk,matrix Kainsaz,chondrules Kainsaz,CAIs Kainsaz,matrix MIL07193,chondrules MIL07193,CAIs MIL07193,adsorbed water on MIL07193 bulk,matrix MIL05024,chondrules MIL05024,CAIs MIL05024,adsorbed water on MIL05024 bulk,matrix MIL05104,chondrules MIL05104,CAIs MIL05104,matrix Mdaouer,chondrules Mdaouer,CAIs Mdaouer,matrix NWA11889,chondrules NWA11889,CAIs NWA11889,matrix ElMedano389,chondrules ElMedano389,CAIs ElMedano389,matrix NWA8631,chondrules NWA8631,CAIs NWA8631,matrix Acfer094,chondrules Acfer094,CAIs Acfer094,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix ALHA77003'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules ALHA77003'}, {'subject': 'CAIs ALHA77003'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water on ALHA77003 bulk'}, {'subject': 'commercial'}, {'subject': 'bromide'}, {'subject': 'KBr'}, {'subject': 'matrix DOM08006'}, {'subject': 'chondrules DOM08006'}, {'subject': 'CAIs DOM08006'}, {'subject': 'adsorbed phase'}, {'subject': 'matrix DOM03238'}, {'subject': 'chondrules DOM03238'}, {'subject': 'CAIs DOM03238'}, {'subject': 'matrix MIL07709'}, {'subject': 'chondrules MIL07709'}, {'subject': 'CAIs MIL07709'}, {'subject': 'adsorbed water on MIL07709 bulk'}, {'subject': 'matrix LAP031117'}, {'subject': 'chondrules LAP031117'}, {'subject': 'CAIs LAP031117'}, {'subject': 'matrix EET92126'}, {'subject': 'chondrules EET92126'}, {'subject': 'CAIs EET92126'}, {'subject': 'adsorbed water on EET92126 bulk'}, {'subject': 'matrix MIL07687'}, {'subject': 'chondrules MIL07687'}, {'subject': 'CAIs MIL07687'}, {'subject': 'matrix Moss'}, {'subject': 'chondrules Moss'}, {'subject': 'CAIs Moss'}, {'subject': 'adsorbed water on Moss bulk'}, {'subject': 'matrix ALH83108'}, {'subject': 'chondrules ALH83108'}, {'subject': 'CAIs ALH83108'}, {'subject': 'adsorbed water on ALH83108 bulk'}, {'subject': 'matrix ALH85003'}, {'subject': 'chondrules ALH85003'}, {'subject': 'CAIs ALH85003'}, {'subject': 'adsorbed water on ALH85003 bulk'}, {'subject': 'matrix MET00737'}, {'subject': 'chondrules MET00737'}, {'subject': 'CAIs MET00737'}, {'subject': 'adsorbed water on MET00737 bulk'}, {'subject': 'matrix QUE97416'}, {'subject': 'chondrules QUE97416'}, {'subject': 'CAIs QUE97416'}, {'subject': 'adsorbed water on QUE97416 bulk'}, {'subject': 'matrix Kainsaz'}, {'subject': 'chondrules Kainsaz'}, {'subject': 'CAIs Kainsaz'}, {'subject': 'matrix MIL07193'}, {'subject': 'chondrules MIL07193'}, {'subject': 'CAIs MIL07193'}, {'subject': 'adsorbed water on MIL07193 bulk'}, {'subject': 'matrix MIL05024'}, {'subject': 'chondrules MIL05024'}, {'subject': 'CAIs MIL05024'}, {'subject': 'adsorbed water on MIL05024 bulk'}, {'subject': 'matrix MIL05104'}, {'subject': 'chondrules MIL05104'}, {'subject': 'CAIs MIL05104'}, {'subject': 'matrix Mdaouer'}, {'subject': 'chondrules Mdaouer'}, {'subject': 'CAIs Mdaouer'}, {'subject': 'matrix NWA11889'}, {'subject': 'chondrules NWA11889'}, {'subject': 'CAIs NWA11889'}, {'subject': 'matrix ElMedano389'}, {'subject': 'chondrules ElMedano389'}, {'subject': 'CAIs ElMedano389'}, {'subject': 'matrix NWA8631'}, {'subject': 'chondrules NWA8631'}, {'subject': 'CAIs NWA8631'}, {'subject': 'matrix Acfer094'}, {'subject': 'chondrules Acfer094'}, {'subject': 'CAIs Acfer094'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['27 spectra'],['ASCII']
-10.26302/sshade/experiment_jr_20150621_001,W L3 edge XAS transmission of Tungsten oxydation in biological media,SSHADE/FAME (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-10-28T13:55:16.000Z,2022-10-28T13:55:17.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,metal,W_metal,tungstate,WO3,oxide,WO2,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'metal'}, {'subject': 'W_metal'}, {'subject': 'tungstate'}, {'subject': 'WO3'}, {'subject': 'oxide'}, {'subject': 'WO2'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['3 spectra'],['ASCII']
-10.26302/sshade/bandlist_abs_ch3cn_beta-ch3cn,Absorption band list of CH3CN in natural solid CH3CN (phase beta),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",FIR-MIR absorption band list of $CH_3CN$ in natural solid $CH_3CN$ (phase beta) at 35 and 95 K,mds,True,findable,0,0,0,0,0,2023-04-21T07:03:19.000Z,2023-04-21T07:03:20.000Z,inist.sshade,mgeg,"natural CH3CN - phase beta,Acetonitrile,beta-Acetonitrile,beta-acetonitrile (phase I),Acetonitrile,75-05-8,CH3CN,polar molecular solid,molecular solids with polar molecules,nitrile,absorption,FIR,MIR,NIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural CH3CN - phase beta', 'subjectScheme': 'name'}, {'subject': 'Acetonitrile', 'subjectScheme': 'name'}, {'subject': 'beta-Acetonitrile', 'subjectScheme': 'name'}, {'subject': 'beta-acetonitrile (phase I)', 'subjectScheme': 'name'}, {'subject': 'Acetonitrile', 'subjectScheme': 'IUPAC name'}, {'subject': '75-05-8', 'subjectScheme': 'CAS number'}, {'subject': 'CH3CN', 'subjectScheme': 'formula'}, {'subject': 'polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with polar molecules', 'subjectScheme': 'class'}, {'subject': 'nitrile', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.6084/m9.figshare.16786747,Additional file 15 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 15. Consent form (surrogates).,mds,True,findable,0,0,16,1,0,2021-10-12T03:41:50.000Z,2021-10-12T03:42:51.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['217073 Bytes'],
-10.6084/m9.figshare.c.6851803,Sonometric assessment of cough predicts extubation failure: SonoWeanâ€”a proof-of-concept study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Extubation failure is associated with increased mortality. Cough ineffectiveness may be associated with extubation failure, but its quantification for patients undergoing weaning from invasive mechanical ventilation (IMV) remains challenging. Methods Patients under IMV for more than 24 h completing a successful spontaneous T-tube breathing trial (SBT) were included. At the end of the SBT, we performed quantitative sonometric assessment of three successive coughing efforts using a sonometer. The mean of the 3-cough volume in decibels was named Sonoscore. Results During a 1-year period, 106 patients were included. Median age was 65 [51â€“75] years, mainly men (60%). Main reasons for IMV were acute respiratory failure (43%), coma (25%) and shock (17%). Median duration of IMV at enrollment was 4 [3â€“7] days. Extubation failure occurred in 15 (14%) patients. Baseline characteristics were similar between success and failure extubation groups, except percentage of simple weaning which was lower and MV duration which was longer in extubation failure patients. Sonoscore was significantly lower in patients who failed extubation (58 [52â€“64] vs. 75 [70â€“78] dB, P &lt; 0.001). After adjustment on MV duration and comorbidities, Sonoscore remained associated with extubation failure. Sonoscore was predictive of extubation failure with an area under the ROC curve of 0.91 (IC95% [0.83â€“0.99], P &lt; 0.001). A threshold of Sonoscore &lt; 67.1 dB predicted extubation failure with a sensitivity of 0.93 IC95% [0.70â€“0.99] and a specificity of 0.82 IC95% [0.73â€“0.90]. Conclusion Sonometric assessment of cough strength might be helpful to identify patients at risk of extubation failure in patients undergoing IMV.",mds,True,findable,0,0,0,0,0,2023-09-26T03:25:48.000Z,2023-09-26T03:25:48.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",,
-10.15778/resif.y92009,Seismic network Y9:Guerrero Gap (Mexico) temporary array (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2009,en,Other,"Open Access,Creative Commons Attribution 4.0 International","The G-GAP project aims at studying the seismic cycle in the Guerrero subduction zone. The project includes a strong collaboration between Mexican researchers from UNAM and French researchers from UniversitÃ© Grenoble Alpes, Institut de Physique du Globe de Paris and UniversitÃ© de Strasbourg. The project is devoted to the analysis of recently discovered slow slip events for which Guerrero (Mexico) is an exceptionally favorable place of study. Non-volcanic tremors are also observed and could bring new insights on the mechanical behavior of the subduction. As part of the project, seismic antennae have been installed to complete the already existing Mexican networks. The other part of the project concerns the tectonics of central Mexico, with its associated seismic hazards, and a study of the important strong motion data available in the region in terms of ground motion predictive equations. G-GAP has benefited from a 4 year grant (Jan. 2009 - Dec. 2012) from the French agency ANR.",mds,True,findable,0,0,0,2,0,2018-02-13T14:34:08.000Z,2018-02-13T14:34:08.000Z,inist.resif,vcob,"mini-arrays,Seismology,subduction,slow slip events,non-volcanic tremors,Guerrero,Mexico","[{'subject': 'mini-arrays'}, {'subject': 'Seismology'}, {'subject': 'subduction'}, {'subject': 'slow slip events'}, {'subject': 'non-volcanic tremors'}, {'subject': 'Guerrero'}, {'subject': 'Mexico'}]",,
-10.5281/zenodo.6760050,"Dataset related to the study ""Black carbon and dust alter the response of mountain snow cover under climate change""",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the data of the manuscript ""Black carbon and dust alter the response of mountain snow cover under climate change"" under publication in Nature Communication. It is made of a dataset and information to reproduce the simulations presented in the study.",mds,True,findable,0,0,0,0,0,2022-06-27T13:41:35.000Z,2022-06-27T13:41:35.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_sp_20210814,"Bidirectional reflectance spectra (340-4200nm) of powdered howardite and a sublimation residue of a Ceres simulant under various geometrical configurations (i=0Â°, 20Â°, 40Â°, 60Â°, e=-70Â° to 70Â°)",SSHADE/GhoSST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Bidirectional reflectance spectra (340-4200nm) of powdered howardite and a sublimation residue of a Ceres simulant under various geoemtrical configurations (i=0Â°, 20Â°, 40Â°, 60Â°, e=-70Â° to 70Â°, step 10Â°)",mds,True,findable,0,0,0,0,0,2021-11-22T18:12:54.000Z,2021-11-22T18:12:56.000Z,inist.sshade,mgeg,"extraterrestrial,differentiated achondrite,howardite,complex mineral mix,Diogenites,mineral,natural terrestrial,oxide-hydroxide,Magnetite,phyllosilicate,Antigorite,carbonate,Dolomite,laboratory,NH4-nontronite,laboratory measurement,bidirectional reflection,macroscopic,UV,Ultraviolet,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'extraterrestrial'}, {'subject': 'differentiated achondrite'}, {'subject': 'howardite'}, {'subject': 'complex mineral mix'}, {'subject': 'Diogenites'}, {'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Magnetite'}, {'subject': 'phyllosilicate'}, {'subject': 'Antigorite'}, {'subject': 'carbonate'}, {'subject': 'Dolomite'}, {'subject': 'laboratory'}, {'subject': 'NH4-nontronite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'UV'}, {'subject': 'Ultraviolet'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['2 spectra'],['ASCII']
-10.6084/m9.figshare.21341628,Additional file 1 of Expiratory high-frequency percussive ventilation: a novel concept for improving gas exchange,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Details of the simulation study and additional data for respiratory mechanics.,mds,True,findable,0,0,0,0,0,2022-10-16T03:12:48.000Z,2022-10-16T03:12:49.000Z,figshare.ars,otjm,"Biophysics,Space Science,Medicine,Physiology,FOS: Biological sciences,Biotechnology,Cancer","[{'subject': 'Biophysics'}, {'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}]",['86600 Bytes'],
-10.17178/amma-catch.cl.rain_g,"Precipitation dataset (5 minutes rainfall), over the Hombori site (2500 km2 ), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in sahelian and saharo-sahelian zones. The aim is to characterize the spatial and temporal variability of rainfall within a densified zone of approximately 0Â°7 by 0Â°7 degrees within the Gourma meso-scale site. Data will be used in modelling and assimilation activities, as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:13.000Z,2018-03-16T15:37:13.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian/Saharan climate,Precipitation Amount (previous hour),Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.18709/perscido.2023.06.ds396,The Proof Of Coverage LoRaWAN frames dataset,PerSCiDO,2023,,Dataset,,The directory contains the log files of frames sent by LoRa gateways to other gateways. The gateways are installed in the Grenoble area. The dataset contains 3418984 messages received between August 2021 and June 2023.,api,True,findable,0,0,0,0,0,2023-06-28T11:23:46.000Z,2023-06-28T11:23:46.000Z,inist.persyval,vcob,"Information Technology,Computer Science","[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}, {'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['4000 Mo'],['JSON']
-10.6084/m9.figshare.c.6257914,Acute mesenteric ischemia: updated guidelines of the World Society of Emergency Surgery,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract Acute mesenteric ischemia (AMI) is a group of diseases characterized by an interruption of the blood supply to varying portions of the intestine, leading to ischemia and secondary inflammatory changes. If untreated, this process may progress to life-threatening intestinal necrosis. The incidence is low, estimated at 0.09â€“0.2% of all acute surgical admissions, but increases with age. Although the entity is an uncommon cause of abdominal pain, diligence is required because if untreated, mortality remains in the range of 50%. Early diagnosis and timely surgical intervention are the cornerstones of modern treatment to reduce the high mortality associated with this entity. The advent of endovascular approaches in parallel with modern imaging techniques is evolving and provides new treatment options. Lastly, a focused multidisciplinary approach based on early diagnosis and individualized treatment is essential. Thus, we believe that updated guidelines from World Society of Emergency Surgery are warranted, in order to provide the most recent and practical recommendations for diagnosis and treatment of AMI.",mds,True,findable,0,0,0,0,0,2022-10-20T06:32:09.000Z,2022-10-20T06:32:09.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Neuroscience,Biotechnology,80699 Information Systems not elsewhere classified,FOS: Computer and information sciences","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': '80699 Information Systems not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5281/zenodo.200198,Mpi Load Balancing Simulation Data Sets  (Companion To Ipdps 2017),Zenodo,2016,,Dataset,"Creative Commons Attribution Share-Alike 4.0,Open Access","This package contains data sets and scripts (in an Org-mode file) related to our submission to IPDPS 2017, under the title ""Using Simulation to Evaluate and Tune the Performance of Dynamic Load Balancing of an Over-decomposed Geophysics Application"".
-
-The following contents are included:
-
-
-	<em>IPDPS2017.org :</em> Org mode (Emacs) file containing the shell (Bash) and R scripts used to:
-
-	
-		run the load balancing simulation;
-		process the traces of both real executions (Tau traces) and simulation (PajÃ© traces);
-		generate the graphics.
-	
-	
-	<em>lb_traces/:</em> this directory contains the raw traces from real executions and SMPI emulations of the Ondes3D application.
-	<em>processed_data/</em>: this directory contains the results of the processing of the traces in the form of CSV format data files which are be used to generate the graphics.
-	i<em>mg</em>/: this directory contains the generate graphics, in PNG format.",,True,findable,0,0,0,0,0,2016-12-13T12:25:44.000Z,2016-12-13T12:25:45.000Z,cern.zenodo,cern,"simulation,load balancing,SimGrid,Ondes3d,over decomposition,MPI","[{'subject': 'simulation'}, {'subject': 'load balancing'}, {'subject': 'SimGrid'}, {'subject': 'Ondes3d'}, {'subject': 'over decomposition'}, {'subject': 'MPI'}]",,
-10.5281/zenodo.7148513,Co-seismic slip of the 18 April 2021 Mw 5.9 Genaveh earthquake in the South Dezful Embayment of Zagros (Iran) and its aftershock sequence,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This public repository contains INSAR and other processed data for the manuscript : ""Co-seismic slip of the 18 April 2021 Mw 5.9 Genaveh earthquake in the South Dezful Embayment of Zagros (Iran) and its aftershock sequence"" InSAR unwrapped and geocoded files, for the ascending track A101 and the descending track D35: GDM_Asc101_InU_geo_20210414_20210426_sd_4rlks.tiff GDM_Desc35_InU_geo_20210410_20210422_sd_4rlks.tiff Sampled quadtree data for the ascending and descending data with LOS vector: a101_okinv_input d35_okinv_input Slip distribution model for the fault dipping N and the fault dipping S: SDM_dipN_oksar.dat SDM_dipS_oksar.dat",mds,True,findable,0,0,0,0,0,2023-05-08T16:38:28.000Z,2023-05-08T16:38:28.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_gm_20190902_001,Raman spectra of some phosphate minerals,SSHADE/REAP (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-05-13T07:46:12.000Z,2021-05-13T07:46:13.000Z,inist.sshade,mgeg,"natural terrestrial,phosphate,Apatite,Berlinite,Whitlockite,Xenotime,laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,FIR,Far-Infrared,normalized Raman scattering intensity","[{'subject': 'natural terrestrial'}, {'subject': 'phosphate'}, {'subject': 'Apatite'}, {'subject': 'Berlinite'}, {'subject': 'Whitlockite'}, {'subject': 'Xenotime'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'normalized Raman scattering intensity'}]",['4 spectra'],['ASCII']
-10.18150/wyyjk6,Estimates for recombination coefficients from time-resolved luminescence - local and global approach explained on bulk gallium nitride: numerical data,RepOD,2022,,Dataset,,"This is a dataset of numerical data for experimental results of time-resolved cathodoluminescence and time-resolved photoluminescence of a HVPE-grown GaN sample, which are then de-noised and analyzed for estimating ABC recombination constants of this sample.The examined GaN sample was prepared from a bulk crystal grown by Halide Vapor Phase Epitaxy (HVPE) method. In order to obtain a thick crystal, a few consecutive HVPE processes were performed. An ammonothermally-grown GaN seed of a very high structural quality, with the gallium surface prepared to an epi-ready state, was used in the first run. After the crystallization process the gallium surface of the new-grown crystal was prepared by mechanical and chemo-mechanical polishing to an epi-ready state. The crystal was used as the seed for the next HVPE run. The surface preparation and growth process were repeated until the crystal reached the required thickness. Finally, the ammonothermal seed was removed by slicing. The nitrogen side of the free-standing HVPE-GaN crystal was prepared by mechanical and chemo-mechanical polishing to an epi-ready state. The prepared sample was 1700-um-thick and of high structural quality.The time-resolved cathodoluminescence measurements were conducted on an Allalin Chronos instrument from Attolight. In this tool, a focused electron beam scans the sample while the optical emission is collected and analyzed by a spectrometer. The spectrometer consists of a 320 mm monochromator (Horiba iHR320) fitted with a streak camera (Hamamatsu C10910) for TRCL measurements. During TRCL measurements, the electron beam is pulsed at 80 MHz using a laser focused on the Schottky field emission gun (FEG). TRCL measurements were performed at room temperature. Four beam energies were considered: 1.5 keV, 3 keV, 5 keV, and 10 keV. Ga-side and N-side surfaces were considered.The time resolved luminescence and decay profiles were measured using apparatus which consists of a PG 401/SH optical parametric generator pumped by a PL2251A pulsed YAG:Nd laser (EKSPLA) with 30 ps laser pulses and a repetition rate 20 Hz. The detection part consists of a 2501S grating spectrometer (Bruker Optics) combined with a C4334-01 streak camera (Hamamatsu). Data were recorded in the form of the streak images on a 640 by 480 pixels CCD array. Software based on photon counting algorithm transforms the result into a 2D matrix of photon counts versus wavelength and time (streak image). The time resolve spectroscopic study was done for both sides of GaN monocrystal: Ga-side and N-side. The laser energy able to obtain 300 nm pulsed excitation wavelength was 30 mJ.The experimental results are then de-noised by numerical scheme implemented in logpli software ( https://github.com/ghkonrad/logpli ). First, there is normalized luminescence intensity versus time, and then negative logarithmic derivative of the normalized luminescence intensity.",mds,True,findable,0,0,0,0,0,2022-04-21T14:17:28.000Z,2022-05-12T07:05:32.000Z,tib.repod,repod,,,,
-10.26302/sshade/experiment_zy_20180209_000,VIS-NIR reflectance spectra of binary mixtures of CO2 frost (10-100 Âµm) and fine-grained spherical water ice particles (4.5 Âµm average diameter),SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","CO2 frost (10-100 Âµm) produced by adiabatic expansion of gas is mixed with variable amounts of fine-grained water ice particles (spherical, type SPIPA-A, 4.5 Âµm average diameter) and the reflectance measured. Vis multispectral + NIR low resolution and Vis-NIR high resolution spectra.",mds,True,findable,0,0,0,0,0,2023-04-28T13:53:30.000Z,2023-04-28T13:53:30.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,solid CO2,water ice,solid,laboratory,inorganic molecular solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'reflectance factor', 'subjectScheme': 'var'}, {'subject': 'solid CO2', 'subjectScheme': 'name'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}]",['8 spectra'],['ASCII']
-10.26302/sshade/experiment_zy_20180110_002,VIS-NIR reflectance spectra of binary mixtures between the fine fraction of the JSC Lunar regolith simulant (JSC-1AF) and two types of spherical water ice particles,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Intimate mixtures of two types of spherical water ice particles (SPIPA-A and -B, 4.5 and 67 Âµm average diameter, respectively) and the JSC-1AF fine-grained fraction of JSC Lunar Regolith Simulant.",mds,True,findable,0,0,0,0,0,2023-05-04T06:58:53.000Z,2023-05-04T06:58:53.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,Plagioclase,Vitreous matrix,Olivine,Pyroxene,water ice,solid,laboratory,tektosilicate,nesosilicate,inosilicate,inorganic molecular solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'var'}, {'subject': 'Visible', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'reflectance factor', 'subjectScheme': 'var'}, {'subject': 'Plagioclase', 'subjectScheme': 'name'}, {'subject': 'Vitreous matrix', 'subjectScheme': 'name'}, {'subject': 'Olivine', 'subjectScheme': 'name'}, {'subject': 'Pyroxene', 'subjectScheme': 'name'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'nesosilicate', 'subjectScheme': 'compound type'}, {'subject': 'inosilicate', 'subjectScheme': 'compound type'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}]",['11 spectra'],['ASCII']
-10.57745/7hf7kg,Qualify a near-infrared camera to detect thermal deviation during aluminum alloy Wire Arc Additive Manufacturing,Recherche Data Gouv,2022,,Dataset,,"Data presented here are the part of the study: Dellarre A, BÃ©raud N, Villeneuve F, Tardif N, Vignat F, Limousin M : Qualify a near-infrared camera to detect thermal deviation during aluminum Wire Arc Additive Manufacturing process Date : November 2022 e-mail : anthony.dellarre@grenoble-inp.fr Please use appropriate citations and referencing while using this dataset by any means. Contributing authors: Anthony Dellarre, Nicolas BÃ©raud, FranÃ§ois Villeneuve, Nicolas Tardif, FrÃ©dÃ©ric Vignat, Maxime Limousin Any further information could be asked by making a legitimate request to: Anthony Dellarre (anthony.dellarre@grenobe-inp.fr) and Nicolas BÃ©raud (nicolas.beraud@grenoble-inp.fr) The folder archetecture is : - Wall referenced by its idle time * Row data : + video of near frame (.mp4) + near_camera (*.bmp) + scan (scan.stl) * Process data : + width of the wall function of the x coordinate and layer number (width.csv) + height of the wall function of the x coordinate and layer number (height.csv) + the thermal metric (surface of the thermal processed area) in function of the layer (thermalMetric.csv) Please refer to the paper for any further scientific details.",mds,True,findable,93,4,0,1,0,2022-12-08T07:59:49.000Z,2022-12-16T19:58:06.000Z,rdg.prod,rdg,,,,
-10.17178/emaa_hd_rovibration_805a7aa5,Rovibration excitation of HD by H and H+ collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",52 rovibration energy levels / 368 radiative transitions / 1326 collisional transitions for H (15 temperatures in the range 5-5000K) / 171 collisional transitions for H+ (25 temperatures in the range 5-3005K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:13.000Z,2023-12-07T15:51:13.000Z,inist.osug,jbru,"target HD,excitationType Rovibration,collisional excitation,collider.0 H,collider.1 H+,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HD', 'subjectScheme': 'main'}, {'subject': 'excitationType Rovibration', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 H+', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.580042,Flow-Guided Warping for Image-Based Shape Manipulation,Zenodo,2017,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset relative to the following publication: Vergne, R., Barla P., Bonneau, G.-P. and R. W. Fleming (2016). Flow-Guided Warping for Image-Based Shape Manipulation. <em>ACM Transactions on Graphics (Proceedings of SIGGRAPH 2016), 35(4)</em>: 93. Each folder contains *.mat files with the data from the experiments presented in Figure 12 of the article (Experiment 1: cg results, Experiment 2: photo results) and a text file with comments.",mds,True,findable,0,0,0,0,0,2017-05-31T09:54:06.000Z,2017-05-31T09:54:07.000Z,cern.zenodo,cern,"Image warping,Enhancement,Shape perception","[{'subject': 'Image warping'}, {'subject': 'Enhancement'}, {'subject': 'Shape perception'}]",,
-10.26302/sshade/experiment_ak_20141103_1,Mid-infrared attenuated total reflectance experiment with Na+ exchanged less 1 Î¼m size fraction of montmorillonite (SCa-3) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:11:52.000Z,2022-11-04T08:11:53.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Na-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['2 spectra'],['ASCII']
-10.6084/m9.figshare.14754468,"Artifact and instructions to generate experimental results for the Euro-Par 2021 paper: ""Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach""",figshare,2021,,Dataset,Creative Commons Attribution 4.0 International,"This artifact contains the code to reproduce experiments and data analysis of the paper ""Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach"" by S. Cerf, R. Bleuse, V. Reis, S. Pernarnau and Ã‰. Rutten.This artifact also contains the data collected and used to produce the figures of the paper.<br>This artifact is provided as a tar archive.Scripts are provided as bash, Python and R programs.The data format is a compressed tar archive documented by the Python extraction code.<br>The dataset is licensed under CC-BY 4.0. See the source code for their respective licenses.<br>",mds,True,findable,0,0,1,0,0,2021-06-10T14:17:13.000Z,2021-06-10T14:17:13.000Z,figshare.ars,otjm,"10203 Calculus of Variations, Systems Theory and Control Theory,FOS: Mathematics,Applied Computer Science,80302 Computer System Architecture,FOS: Computer and information sciences","[{'subject': '10203 Calculus of Variations, Systems Theory and Control Theory', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Applied Computer Science'}, {'subject': '80302 Computer System Architecture', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1328670720 Bytes'],
-10.26302/sshade/bandlist_abs_c4h2_c4h2-i,Absorption band list of C4H2 in natural solid C4H2 (crystalline phase I),SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR absorption band list of $C_4H_2$ in natural solid $C_4H_2$ (phase I) at 10 and 95 K,mds,True,findable,0,0,0,0,0,2023-04-30T10:23:35.000Z,2023-04-30T10:23:36.000Z,inist.sshade,mgeg,"natural C4H2 - phase I,Diacetylene,Diacetylene phase I,C4H2 Phase I,Buta-1,3-diyne,460-12-8,C4H2,non polar molecular solid,molecular solids with apolar molecules,organic molecular solid,absorption,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural C4H2 - phase I', 'subjectScheme': 'name'}, {'subject': 'Diacetylene', 'subjectScheme': 'name'}, {'subject': 'Diacetylene phase I', 'subjectScheme': 'name'}, {'subject': 'C4H2 Phase I', 'subjectScheme': 'name'}, {'subject': 'Buta-1,3-diyne', 'subjectScheme': 'IUPAC name'}, {'subject': '460-12-8', 'subjectScheme': 'CAS number'}, {'subject': 'C4H2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5281/zenodo.10265625,Dataset for first resonant PXCT experiments at the SWING beamline at Synchrotron Soleil,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This dataset was acquired at the SWING beamline at the French synchrotron SOLEIL. The ptychographic scans consisted of 205 diffraction patterns from a field of view of 14x12 ÂµmÂ² with an exposure time of 100 ms per point. The ptychographic reconstruction was carried out using the PtychoShelves Matlab software package [1], involving 200 iterations of the difference map (DM) algorithm, followed by 100 iterations of the maximum likelihood (ML) algorithm.
-
-The dataset consists of the ptychographic reconstructions of two ptychographic tomography scans at energies 8383 eV and 8337 eV, the angle files, and the corresponding tomograms as slices.
-
-Niwire_3D_8383 - ptychographic reconstructions of the 200 projections at 3838 eV
-
-Niwire_3D_8337 - ptychographic reconstructions of the 210 projections at 8337 eV (10 duplicate angles)
-
-Niwire8383_TIFF_delta_FBP_ram-lak_freqscl_1.00 - tomographic reconstruction (with PtychoShelves [2]) of the Niwire measured at 8383 eV
-
-Niwire8337_TIFF_delta_FBP_ram-lak_freqscl_1.00 - tomographic reconstruction (with PtychoShelves [2]) of the Niwire measured at 8337 eV
-
-angles_Niwire8383 - the angles of the tomographic scan at 8383 eV
-
-angles_Niwire8383 - the angles of the tomographic scan at 8337 eV
-
-Â 
-
-[1] Wakonig, K., Stadler, H.-C., OdstrÄil, M., Tsai, E. H. R., Diaz, A., Holler, M., Usov, I., Raabe, J., Menzel, A. & Guizar-Sicairos, M. (2020). PtychoShelves, a versatile high-level framework for high-performance analysis of ptychographic data. J. Appl. Cryst. 53, 574-586.
-
-[2] Michal OdstrÄil, Mirko Holler, JÃ¶rg Raabe, and Manuel Guizar-Sicairos, ""Alignment methods for nanotomography with deep subpixel accuracy,"" Opt. Express 27, 36637-36652 (2019)",api,True,findable,0,0,0,0,1,2024-02-13T07:48:59.000Z,2024-02-13T07:48:59.000Z,cern.zenodo,cern,"Ptychography,Ptychographic X-Ray Computed Tomography,Spectral Ptychography,Resonant Ptychography,SWING beamline,SOLEIL synchrotron","[{'subject': 'Ptychography'}, {'subject': 'Ptychographic X-Ray Computed Tomography'}, {'subject': 'Spectral Ptychography'}, {'subject': 'Resonant Ptychography'}, {'subject': 'SWING beamline'}, {'subject': 'SOLEIL synchrotron'}]",,
-10.6084/m9.figshare.16786756,Additional file 2 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 2. Study protocol version 4.,mds,True,findable,0,0,16,1,0,2021-10-12T03:41:57.000Z,2021-10-12T03:41:58.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['2087346 Bytes'],
-10.5281/zenodo.3367347,Dataset for ISMIP6 CMIP5 model selection,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset associated with the manuscript entitled ""CMIP5 model selection for ISMIP6 ice sheet model forcing: Greenland and Antarctica"" for publication in The Cryosphere. This dataset was used to select CMIP5 models as forcing for the ISMIP6 stand-alone Greenland and Antarctica projections.",mds,True,findable,0,0,0,0,0,2019-08-14T14:33:26.000Z,2019-08-14T14:33:26.000Z,cern.zenodo,cern,"climate,CMIP5,Antarctica,Greenland","[{'subject': 'climate'}, {'subject': 'CMIP5'}, {'subject': 'Antarctica'}, {'subject': 'Greenland'}]",,
-10.5281/zenodo.10061547,FIG. 4 in Passiflora tinifolia Juss. (Passiflora subgenus Passiflora): resurrection and synonymies,Zenodo,2023,,Image,Creative Commons Attribution 4.0 International,"FIG. 4. â€” Passiflora tinifolia Juss., French Guiana (photos: Maxime Rome): A, young leaf with glands at the apex of the petiole and linear stipules; B, mature leaf with peduncles gathered in a pseudoraceme; C, flower bud with bracts; D, flower; E, longitudinal section of flower; F, immature and mature fruit.",api,True,findable,0,0,0,3,0,2023-11-01T12:50:46.000Z,2023-11-01T12:50:46.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Plantae,Tracheophyta,Magnoliopsida,Malpighiales,Passifloraceae,Passiflora","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Plantae'}, {'subject': 'Tracheophyta'}, {'subject': 'Magnoliopsida'}, {'subject': 'Malpighiales'}, {'subject': 'Passifloraceae'}, {'subject': 'Passiflora'}]",,
-10.26302/sshade/experiment_lb_20170731_005,Mid-IR absorbance spectra of Renazzo matrix grains under vacuum at different temperatures,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Raw, normalized and baseline-corrected Mid-IR spectra of several matrix grains of RENAZZO (pressed on diamond) under vacuum at ambient temperature and 300Â°C",mds,True,findable,0,0,0,1,0,2020-02-11T11:54:57.000Z,2020-02-11T11:54:58.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix RENAZZO,physically adsorbed phase,adsorbed water,matrix RENAZZO heated at 300Â°C,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance,normalized absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix RENAZZO'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water'}, {'subject': 'matrix RENAZZO heated at 300Â°C'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}, {'subject': 'normalized absorbance'}]",['20 spectra'],['ASCII']
-10.6084/m9.figshare.16786771,Additional file 7 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 7. TMoCA questionnaire (French version).,mds,True,findable,0,0,16,1,0,2021-10-12T03:42:28.000Z,2021-10-12T03:42:29.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['68490 Bytes'],
-10.5281/zenodo.6941739,Dataset of publication: Deposit-feeding of Nonionellina labradorica (foraminifera) from an Arctic methane seep site and possible association with a methanotroph,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This file contains all TEM (Transmission Electron Microscopy) images of the foraminifera <em>N. labradorica </em>(foraminifera)<em> </em>used in a feeding experiment for the publication DOI: https://doi.org/10.5194/bg-2021-284 Samples were collected at Gas Hydrate Pingo 3 (GHP3), app. 50 km south of Svalbard at 382m water depth at the mouth of Storfjordrenna, Barents Sea. Blade corer (BLC18) used for sampling was taken at following location 76Â°6'23.7""N 15Â°58'1.7""E. After sampling a feeding experiment was performed using the marine methanothroph<em> Methyloprofundus sedimenti</em>. More details can be fount in the methods paper. The file contains",mds,True,findable,0,0,0,0,0,2022-08-12T18:51:39.000Z,2022-08-12T18:51:40.000Z,cern.zenodo,cern,"TEM, Transmission electron microscopy, feeding, foraminifera","[{'subject': 'TEM, Transmission electron microscopy, feeding, foraminifera'}]",,
-10.15778/resif.zk2017,Dense nodal seismic array temporary experiment on Alpine Glacier of ArgentiÃ¨re (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2020,,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Seismology can yield key observational insights on glacier dynamical processes and structure characteristics. Spatializing the information gained from seismic signals however requires the deployment of dense seismic arrays, which has recently become routine in a wide range of geophysical contexts but has remained limited in glaciated environments. Here we present a dense seismic array experiment made of 98, 3-component and 35-days-long continuous records acquired in early spring on the ArgentiÃ¨re Glacier, French Alps. The seismic dataset is supplemented by a wide range of complementary observations obtained from ground penetrating radar, drone imagery, GPS positioning and in-situ instrumentation of basal glacier sliding velocities and water flow discharge. Our objective is to provide a comprehensive dataset that enables (i) investigating with unprecedented spatial definition a wide range of glacier seismic sources and structural characteristics associated with e.g. englacial fracturing, ice-bed sliding or englacial and subglacial water flow, as well as (ii) linking these seismically-derived findings to spatial and temporal changes in the overall glacier dynamics and structure. We argue that the present dataset gathers all the necessary components to reach these objectives. We report that important dynamical and structural changes occur during the seismically monitored time period and spatial area. We also conduct a wide range of classical seismic processing techniques including amplitude analysis, event picking from pattern matching and systematic beamforming that suggest a wide range of glacier sources and structural changes are detectable with our dense seismic array and their spatial and temporal dynamics may be studied in details in future studies.",mds,True,findable,0,0,0,1,0,2020-04-30T06:28:42.000Z,2020-04-30T06:30:26.000Z,inist.resif,vcob,"Argentiere glacier,dense seismic array,multiphysics approach","[{'subject': 'Argentiere glacier'}, {'subject': 'dense seismic array'}, {'subject': 'multiphysics approach'}]","['102 stations, 1.7Tb (miniseed format)']","['Miniseed data', 'hdf5 data', 'stationXML metadata']"
-10.15778/resif.yr2013,Seismic network YR:DOMERAPI temporary experiment (RESIF-SISMOB,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2018,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","A network of 46 3-components seismometers has been deployed for 18 months (October 2013-April 2015) over the Merapi-Merbabu complex and surrounding region in order to record the local and regional seismic activity. Some stations were moved during the experiment. The dataset includes a total of 53 recording locations. Most of the stations cover the Merapi-Merbabu complex, which represents an area of approximately 50x50 km",mds,True,findable,0,0,0,1,0,2018-06-05T14:58:42.000Z,2018-06-05T14:58:42.000Z,inist.resif,vcob,"Volcano,Merapi,Java","[{'subject': 'Volcano'}, {'subject': 'Merapi'}, {'subject': 'Java'}]","['53 stations during 3 years, 1.1 Tb']","['Miniseed data', 'stationXML metadata']"
-10.5281/zenodo.8342388,JASPAR 2024 TFBS LOLA databases - Part 3,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the third part of the JASPAR 2024 LOLA databases used by the JASPAR TFBS enrichment tool. For each organism, we provide the LOLA databases for all JASPAR 2024 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly. The repository is split into different parts due to file sizes. Below are listed the different parts and the genome assemblies for which they have TFBSs: Part 1: araTha1, ce10, ce11, ci3, danRer11, dm6, sacCer3. Part 2: hg38. Part 3: mm39.",mds,True,findable,0,0,0,0,0,2023-09-14T07:30:29.000Z,2023-09-14T07:30:29.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10229533,Research compendium to reproduce analyses and figures of the article:  Interspecific interactions influence bird population responses to global changes by GaÃ¼zÃ¨re et al. submitted in Ecology Letters,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,"Research compendium to reproduce analyses and figures of the article:
-_Interspecific interactions influence bird population responses to global changes_
-by GaÃ¼zÃ¨re _et al._ submitted in _Ecology Letters_
-Â 
-#' Compendium authors
-#' @author Pierre GaÃ¼zÃ¨re, \email{pierre.gauzere@@gmail.com},
-Â 
-## General
-Â 
-Â This repository is structured as follow:
-Â 
-Â - `data/`: contains data required to reproduce figures and tables
-Â - `analyses/`: contains scripts organized sequentially. prepare data -> run model -> vizualize model outputs -> ..
-Â - `outputs/`: follows the structure of analyses. Contains intermediate numeric
-Â results used to produce the figures
-Â - `figures_tables/`: Contains the figures of the paper
-Â 
-## Figures & tables
-Â 
-Â Figures will be stored in `figures_tables/`.
-Â Tables will be stored in `outputs/`.",api,True,findable,0,0,0,0,0,2023-11-30T15:03:08.000Z,2023-11-30T15:03:08.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7961207,A new inventory of High Mountain Asia surging glaciers derived from multiple elevation datasets since the 1970s,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Glacier surging is an unusual undulation instability of ice flow and complete surging glacier inventories are important for regional mass balance studies and assessing glacier-related hazards. Glacier surge events in High Mountain Asia (HMA) are widely reported. Through the estimated elevation changes from multiple DEMs sources that acquired from 1970s to 2020, and morphologic changes from 1986 to 2021, here we present a new surging glacier inventory across HMA. The inventory has incorporated 890 surging and 336 surge-like glaciers, each glacier is assigned with indicators of surging feature and surge possibility. Compared to previous surging glacier inventory in HMA, our inventory is theoretically more complete because of the much longer observation period. This data repository contains the surging glacier inventory and glacier elevation change maps. The inventory is stored in the format of GeoPackage (.gpkg) and ESRI Shapefile format (.shp), which is represented by glacier polygon (from GAMDAM2) or surface point with geometric attributes. The multi-temporal elevation change maps of identified surging glaciers were divided into 1Ã—1Â° tiles, storing in the format of GeoTiff(*.tif). Detailed description of the dataset including the file contents and attributes information can be found in the metadata file (README.txt).",mds,True,findable,0,0,0,0,0,2023-05-24T04:24:15.000Z,2023-05-24T04:24:16.000Z,cern.zenodo,cern,"High Mountain Asia, Surging glacier inventory, Elevation change, Digital Elevation Model (DEM)","[{'subject': 'High Mountain Asia, Surging glacier inventory, Elevation change, Digital Elevation Model (DEM)'}]",,
-10.26302/sshade/experiment_op_20180115_001,Br K edge XAS transmission and HERFD of lithium bromide anydrous salt at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:18:10.000Z,2019-12-05T14:18:57.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,bromide,Lithium bromide anydrous salt,laboratory measurement,transmission,None,hard X,hard X-rays,fluorescence emission","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'bromide'}, {'subject': 'Lithium bromide anydrous salt'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'fluorescence emission'}]",['2 spectra'],['ASCII']
-10.5281/zenodo.3928606,Terrestrial Laser Scans of surface deformation associated with the 11/11/2019 Mw 4.7 Le Teil earthquake (SE France),Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Terrestrial Laser Scans of surface deformation produced by the 11/11/2019 Mw 4.7 Le Teil earthquake in SE France. All scans were produced with a Faro X330 equipment at 1/2 resolution, low laser power, with in-field filters (lost points). Processing includes import and registration with Faro Scene software, export as LAS files, manual editing of noise, vegetation and scattered points with CloudCompare software and rasterization with universal kriging with Golden Software Surfer software.",mds,True,findable,0,0,0,0,0,2020-07-02T21:18:29.000Z,2020-07-02T21:18:30.000Z,cern.zenodo,cern,"Surface rupture,Earthquake,Lidar,Terrestrial laser scanning,Le Teil","[{'subject': 'Surface rupture'}, {'subject': 'Earthquake'}, {'subject': 'Lidar'}, {'subject': 'Terrestrial laser scanning'}, {'subject': 'Le Teil'}]",,
-10.17178/amma-catch.cl.run_od,"Surface water dataset (river discharge), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1997,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Long term measurements (LOP) of the river discharge to documentate the surface water balance of 6 nested catchments (12 to 586 km2). The electrical conductivity of river water is an integrative measure that allows documentation of the origin of waters (rainfall, surface and sub-surface runoff, water table drainage). Associated to the chemical characterization of water (CE.Wchem_Od), these data give insight into processes of runoff generation, allow to compute water balance components and constitute validation datasets for hydrological models.",mds,True,findable,0,0,2,1,0,2018-03-16T15:37:17.000Z,2018-03-16T15:37:18.000Z,inist.osug,jbru,"Discharge,Sudanian climate,Discharge/Flow (10 minutes),Water Level,Discharge/Flow,Discharge/Flow (15 minutes),Discharge/Flow (30 minutes)","[{'subject': 'Discharge', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Discharge/Flow (10 minutes)', 'subjectScheme': 'var'}, {'subject': 'Water Level', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow (15 minutes)', 'subjectScheme': 'var'}, {'subject': 'Discharge/Flow (30 minutes)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.5648316,Raw Data and Scripts for manuscript submitted to Oikos as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in a Subalpine Grassland Ecosystems',Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Raw Data and Scripts for manuscript submitted to PCI as 'Early Spring Snowmelt and Summer Droughts Strongly Impair the Resilience of Key Microbial Communities in Subalpine Grassland Ecosystems',mds,True,findable,0,0,0,0,0,2021-11-05T16:32:43.000Z,2021-11-05T16:32:44.000Z,cern.zenodo,cern,"climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O","[{'subject': 'climate change, grasslands, (de)nitrification, weather extremes, snowmelt, N2O'}]",,
-10.6084/m9.figshare.c.6586643,Digital technologies in routine palliative care delivery: an exploratory qualitative study with health care professionals in Germany,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Objective To explore health care professionalsâ€™ (HCPs) perspectives, experiences and preferences towards digital technology use in routine palliative care delivery. Methods HCPs (n = 19) purposively selected from a sample of settings that reflect routine palliative care delivery (i.e. specialized outpatient palliative care, inpatient palliative care, inpatient hospice care in both rural and urban areas of the German states of Brandenburg and Berlin) participated in an explorative, qualitative study using semi-structured interviews. Interview data were analyzed using structured qualitative content analysis. Results Digital technologies are widely used in routine palliative care and are well accepted by HCPs. Central functions of digital technologies as experienced in palliative care are coordination of work processes, patient-centered care, and communication. Especially in outpatient care, they facilitate overcoming spatial and temporal distances. HCPs attribute various benefits to digital technologies that contribute to better coordinated, faster, more responsive, and overall more effective palliative care. Simultaneously, participants preferred technology as an enhancement not replacement of care delivery. HCPs fear that digital technologies, if overused, will contribute to dehumanization and thus significantly reduce the quality of palliative care. Conclusion Digital technology is already an essential part of routine palliative care delivery. While generally perceived as useful by HCPs, digital technologies are considered as having limitations and carrying risks. Hence, their use and consequences must be carefully considered, as they should discreetly complement but not replace human interaction in palliative care delivery.",mds,True,findable,0,0,0,0,0,2023-04-13T12:27:58.000Z,2023-04-13T12:27:58.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,Science Policy","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",,
-10.17178/amma-catch.ce.sw_gha,"Soil dataset (soil moisture profiles), within the Agoufou watershed (250 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2007,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Quantification of water redistribution along hillslopes within an endoreic sand dune system at the Agoufou local site.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:04.000Z,2018-03-16T15:37:04.000Z,inist.osug,jbru,"Water redistribution, soil humidity profile,Sahelian/Saharan climate,Soil Moisture/Water Content at depth 30 cm,Soil Moisture/Water Content at depth 1 m,Soil Moisture/Water Content integrated from 0 to -6 cm,Soil Moisture/Water Content at depth 40 cm,Soil Moisture/Water Content at depth 20 cm,Soil Moisture/Water Content at depth 10 cm,Soil Moisture/Water Content at depth 60 cm","[{'subject': 'Water redistribution, soil humidity profile', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/Water Content at depth 30 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content integrated from 0 to -6 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 20 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 60 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.7213408,Datacubes of InSAR time series for active volcanoes,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Datacubes of InSAR time series for the 20 volcanoes (*) flagged in the paper ""Large-scale demonstration of machine learning for the detection of volcanic deformation in Sentinel-1 satellite imagery"" by Biggs et al. (Bull Volc, 2022). Each file contains the time series of cumulative displacements for one volcano in the *.nc format. There are four fields with ""DATA"" : cumulative LOS displacements (unit=meters), ""lon"" : longitude (unit=degrees), ""lat"" : latitude (unit=degrees) and ""time"" : number of days since the first date. The first date can be found in the attribute ""units"" of the variable ""time"". (*) The five volcanoes: Sierra Negra, Fernandina, Cerro Azul, Wolf and Alcedo volcanoes are contained in the single file ""galapagos_128D_09016_110500.nc"".",mds,True,findable,0,0,0,0,0,2022-10-16T16:27:42.000Z,2022-10-16T16:27:43.000Z,cern.zenodo,cern,InSAR ground deformation volcanoes,[{'subject': 'InSAR ground deformation volcanoes'}],,
-10.5061/dryad.bnzs7h4dx,Dataset for: Buckling of lipidic ultrasound contrast agents under quasi-static load,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Collapse of lipidic ultrasound contrast agents under high-frequency compressive load has been historically interpreted by the vanishing of surface tension. By contrast, buckling of elastic shells is known to occur when costly compressible stress is released through bending. Through quasi-static compression experiments on lipidic shells, we analyze the buckling events in the framework of classical elastic buckling theory and deduce the mechanical characteristics of these shells. They are then compared to that obtained through acoustic characterization.",mds,True,findable,87,6,0,1,0,2023-01-09T09:39:59.000Z,2023-01-09T09:40:00.000Z,dryad.dryad,dryad,"FOS: Physical sciences,FOS: Physical sciences,Image analysis","[{'subject': 'FOS: Physical sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Physical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Image analysis', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['5484917 bytes'],
-10.5281/zenodo.7387170,Satellite-derived melt assimilation MAR simulations over the Antarctic Peninsula daily data,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The ModÃ¨le AtmosphÃ©rique RÃ©gionale (MAR), is a regional climate model designed to simulate poles' climate. here is provided a data set of MAR simulations in which microwave sensor date have been assimilated. The files contain snow and athmosphere related variables over the Antarctic Peninsula for the 2019-2020 period. MAR is a polar-oriented regional climate model mostly used to study both the Greenland and Antarctic ice sheet. Its atmospheric dynamics are based on hydrostatic approximation of primitive equations originally described in GallÃ©e and Schayes (1994) and on a radiative transfer scheme adapted from Morcrette (2002). The model has been parameterized to resolve the topmost 20 meters of the snowpack, divided into 30 layers of time varying thickness. Layers maximum water content holding capacity is fixed at 5%. Beyond it, the water freely percolates through the snowpack or runoffs above impermeable layers. For this work, MARv3.12 was run at a 7.5 km resolution over the Antarctic Peninsula March 2017 and May 2021. Snowpack was initialized in 2017 with a previous MAR simulation (Kittel et al., 2021). Finally, the simulations with assimilation were started in January 2019, restarting from the simulation without assimilation. Simulation for the 2020-2021 season are available on demand. Contact tdethinne@uliege.be",mds,True,findable,0,0,0,0,0,2022-12-02T10:30:49.000Z,2022-12-02T10:30:50.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6397629,"Mechanism of landslide induced by glacier-retreat on the TungnakvÃslarjÃ¶kull area, Iceland",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Introduction</strong> This repository contains the data used for the study of the slope instability of TungnakvÃslarjÃ¶kull, Iceland, described in Lacroix et al. (submitted). Specifically, the repository contains three time series in TungnakvÃslarjÃ¶kull: Time series of Digital Elevation Models (DEMs) from ASTER, 2000-2020. Time series of horizontal ground displacements, 1999-2019. Time series of earthquakes, 1995-2019. Finally, we provide the map of the rate of elevation difference and the map of horizontal ground displacements for the whole period 2000-2019, as shown in Figure 1 of Lacroix et al. (submitted). The data and methods used for the elaboration of this data repository are described in detail in Lacroix et al. (submitted). In this repository we also provide a short summary and overview of the data and methods used. <strong>Data</strong> A total of 160 ASTER scenes were used to produce the time series of DEMs. A series of images from SPOT1, Landsat-7, ASTER and Landsat-8 was used in order to produce the horizontal ground displacements maps. The South-Iceland Lowlands (SIL) network (JÃ³ndsdÃ³ttir et al., 2007) was obtained from VeÃ°urstofan Ãslands (www.vedur.is). Table 1 provides an overview of these data. Table1: Data used for the creation of this repository Application Platforms Acquisition dates DEM ASTER 160 scenes from 2000-10-16 to 2020-08-27. Format for the date is YYYYMMDD Horizontal ground displacement SPOT1 1987-08-05 Landsat-7 1999-07-26, 2000-08-20, 2001-09-24, 2002-07-09 ASTER 2003-08-04, 2004-09-18, 2007-08-15, 2011-08-10, 2013-07-24, 2014-08-18, 2016-08-07 Landsat-8 2014-08-12, 2015-09-16, 2016-08-24, 2017-08-20, 2018-09-14, 2019-08-10 Seismicity SIL network 370491 events recorded between 1995-2019 in the MÃ½rdalsjÃ¶kull (S-Iceland) area and surroundings <strong>Methods</strong> The DEMs were created using the Ames StereoPipeline (ASP, Shean et al., 2016) with the same setup as used in Brun et al., (2017). Each DEM was then co-registered to a lidar DEM acquired in 2010 (JÃ³hannesson et al., 2013), using the co-registration methods from Berthier et al. (2007), and adding an across-track fifth-degree polynomial correction (Gardelle et al., 2013). The stack of elevations obtained from the DEM time series was linearly fitted in order to produce the map of elevation difference (file name 20000101_20210101_30x30m_UTM27N_DHDT_Lacroixetal2022.tif) of the period 2000-2020. The horizontal ground displacement maps were created using the offset tracking methodology described in Bontemps et al. (2018), consisting of: (1) pairwise image correlation using Mic-Mac (Rupnik et al., 2017), (2) masking of areas with low correlation coefficients (3) correction of co-registration bias by subtracting the mean values of the NS and EW displacement fields and (4) pixelwise fit of the horizontal ground displacements by least squares, using the time interval between measurements as weights and obtaining the full horizontal ground displacement for the analyzed period (file name 19990726_20200101_15x15m_UTM27N_HGD_Lacroixetal2022.tif) The time series of earthquakes obtained from the SIL network was filtered, and 2089 earthquakes with depth &lt;5 km and magnitude &lt;1.7 were used in this study and data repository (file name 19950814_20181118_SILvedur_time_lon_lat_dep_mag.txt). <strong>Acknowledgements</strong> We thank BryndÃs BrandsdÃ³ttir for providing the seismic data used in this repository. E.B. and P.L. acknowledge the support from the French Space Agency (CNES) through the TOSCA, PNTS, SWH and ISIS programs. <strong>Dataset attribution</strong> This dataset is licensed under a Creative Commons CC BY 4.0 International License. <strong>Dataset Citation</strong> Lacroix, P., Belart, J.M.C., Berthier, E., SÃ¦mundsson, Ãž., JÃ³nsdÃ³ttir, K.: Data Repository: Mechanism of landslide induced by glacier-retreat on the TungnakvÃslarjÃ¶kull area, Iceland. Dataset distributed on Zenodo: 10.5281/zenodo.6388069",mds,True,findable,0,0,0,1,0,2022-03-30T15:24:22.000Z,2022-03-30T15:24:22.000Z,cern.zenodo,cern,"Slope instability,Remote Sensing,Iceland,TungnakvÃslarjÃ¶kull","[{'subject': 'Slope instability'}, {'subject': 'Remote Sensing'}, {'subject': 'Iceland'}, {'subject': 'TungnakvÃslarjÃ¶kull'}]",,
-10.5061/dryad.ksn02v746,DNA metabarcoding data: Altitudinal zonation of green algae biodiversity in the French Alps,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Mountain environments are marked by an altitudinal zonation of habitat types. They are home to a multitude of terrestrial green algae, who have to cope with abiotic conditions specific to high elevation, e.g., high UV irradiance, alternating desiccation, rain and snow precipitations, extreme diurnal variations in temperature and chronic scarceness of nutrients. Even though photosynthetic green algae are key primary producers colonizing open areas and potential markers of climate change, their overall biodiversity in the Alps has been poorly studied so far, in particular in soil, where alga have been shown to be major components of microbial communities. Here, we investigated whether the spatial distribution of green algae followed the altitudinal zonation of the Alps, based on the assumption that algae can spread via airborne spores and settle in their preferred habitats under the pressure of parameters correlated with elevation. We did so by focusing on selected representative elevational gradients at distant locations in the French Alps, where soil samples were collected at different depths. Soil was considered as either a potential natural habitat or temporary reservoir of algae. We showed that algal DNA represented a relatively low proportion of the overall eukaryotic diversity as measured by a universal Eukaryote marker. We designed two novel green algae metabarcoding markers to amplify the Chlorophyta phylum and its Chlorophyceae class, respectively. Using our newly developed markers, we showed that elevation was a strong correlate of species and genus level distribution. Altitudinal zonation was thus determined for about fifty species, with proposed accessions in reference databases. In particular, Planophila laetevirens and Bracteococcus ruber related species as well as the snow alga Sanguina genus were only found in soil starting at 2,000 m above sea level. Analysis of the vertical distribution in soils further highlighted the importance of pH and nitrogen/carbon ratios. This metabolic trait may also determine the Trebouxiophyceae over Chlorophyceae ratio. Guidelines are discussed for future, more robust and precise analyses of environmental algal DNA in soil in mountain ecosystems, to comprehend the distribution of green algae species and dynamics in response to environmental changes.",mds,True,findable,166,12,0,0,0,2021-06-03T23:05:45.000Z,2021-06-03T23:05:47.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,Chlorophyta,mountain environment,soil,Biodiversity,Sanguina,Snow Algae","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Chlorophyta'}, {'subject': 'mountain environment'}, {'subject': 'soil'}, {'subject': 'Biodiversity', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Sanguina'}, {'subject': 'Snow Algae'}]",['49624412 bytes'],
-10.6084/m9.figshare.23551874,A systematic review of pharmacotherapy for attention-deficit/hyperactivity disorder in children and adolescents with bipolar disorders,Taylor & Francis,2023,,Text,Creative Commons Attribution 4.0 International,"The data suggests that in children and adolescents, bipolar disorder (BD) and attention deficit hyperactivity disorder (ADHD) may be strongly correlated. Even though drugs for ADHD and BD are largely accepted, there is relatively little research on the management of comorbidity in children and adolescents, particularly in terms of safety. We provide a synthesis of these findings because one hasnâ€™t been made yet. As a primary outcome, we wanted to determine whether stimulant or non-stimulant treatment of children and adolescents with ADHD and comorbid BD was effective. As a secondary outcome, we wanted to determine tolerability, especially the risk of mood switch. The findings of this systematic review suggest that methylphenidate, when used with a mood stabilizer, may be safe and not significantly increase the risk of a manic switch or psychotic symptoms when used to treat ADHD that co-occurs with a BD. In situations where stimulants are ineffective or have low tolerance, atomoxetine also seems to be a good alternative, and also in cases of co-morbid anxiety, oppositional defiant disorder, conduct disorders, ICT disorders, and substance use disorders. Additional research with a higher level of evidence is necessary to corroborate these preliminary findings.",mds,True,findable,0,0,0,0,0,2023-06-21T07:40:07.000Z,2023-06-21T07:40:08.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['27108 Bytes'],
-10.5281/zenodo.4538745,Data from: Functional biogeography of weeds reveals how anthropogenic management blurs trait-climate relationships,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The dataset gathers information on the 954 cropland and 5619 grassland plant assemblages studied in the research article <em>Functional biogeography of weeds reveals how anthropogenic management blurs trait-climate relationships</em> by Bourgeois, B., Munoz, F., Gaba, S., Denelle, P., Fried, G., Storkey, J. and Violle, C. published in the <em>Journal of Vegetation Science</em>. A R script for analyzing data is also provided. Data include: <strong>SURVEY.ID</strong>: unique identifier of the plant survey; <strong>HABITAT</strong>: type of habitat (2 levels: cropland - grassland); <strong>CROP TYPE</strong>: type of annual crop cultivated for croplands (4 levels: maize - oilseed - sunflower - winter cereal); <strong>HERBICIDE TREATMENT</strong>: herbicide treatment for croplands (2 levels: herbicide-free - herbicide-sprayed); <strong>CWM SLA</strong>: Community-Weighted Mean of Specific Leaf Area (in m<sup>2 </sup>/ kg); <strong>CWM LDMC</strong>: Community-Weighted Mean of Leaf Dry Matter Content (in mg / kg); <strong>CWM LNC</strong>: Community-Weighted Mean of Leaf Nitrogen Content (in mg N / kg); <strong>CWV SLA</strong>: Community-Weighted Variance of Specific Leaf Area (in m<sup>2 </sup>/ kg); <strong>CWV LDMC</strong>: Community-Weighted Variance of Leaf Dry Matter Content (in mg N / kg); <strong>CWV LNC</strong>: Community-Weighted Variance of Leaf Nitrogen Content (in mg / kg); <strong>GSLtw</strong>: Growing Season Length (in days) accounting for both temperature and soil water limitations; <strong>Xcoord, Ycoord</strong>: coordinates of the plant survey. Please contact the authors for further information.",mds,True,findable,0,0,0,0,0,2021-02-15T16:17:03.000Z,2021-02-15T16:17:04.000Z,cern.zenodo,cern,"Agroecosystems,Arable weeds,Croplands,Environmental filtering,Functional biogeography,Grasslands,Leaf traits,Management intensification,Plant assemblages,Trait-environment relationships","[{'subject': 'Agroecosystems'}, {'subject': 'Arable weeds'}, {'subject': 'Croplands'}, {'subject': 'Environmental filtering'}, {'subject': 'Functional biogeography'}, {'subject': 'Grasslands'}, {'subject': 'Leaf traits'}, {'subject': 'Management intensification'}, {'subject': 'Plant assemblages'}, {'subject': 'Trait-environment relationships'}]",,
-10.18709/perscido.2020.01.ds280,VocADomA4H -- Acoustic recordings,PerSciDo,2020,en,Dataset,,This repository contains the acoustics signals of the Vocadom@A4H dataset : https://gricad-gitlab.univ-grenoble-alpes.fr/getalp/vocadoma4h/. This part of the data is restricted but can be accessed by signing a form,fabrica,True,findable,0,0,0,0,0,2020-01-15T09:30:09.000Z,2020-01-15T09:30:09.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",,['wav files']
-10.26302/sshade/experiment_cl_20181201_06,Ion irradiation ($He^+$) of an Alais meteorite pellet probed by NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR spectra of Alais meteorite pellet, before and after ion irradiation at different doses.",mds,True,findable,0,0,0,0,0,2022-05-27T17:01:15.000Z,2022-05-27T17:01:16.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CI,complex organic-mineral mix,matrix Alais,complex mineral mix,chondrules Alais,CAIs Alais,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CI'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Alais'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Alais'}, {'subject': 'CAIs Alais'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['5 spectra'],['ASCII']
-10.26302/sshade/experiment_dt_20170222_002,Y K edge XAS transmission of synthetic yttrium oxide Y2O3 at ambient conditions,SSHADE/FAME (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-06-22T15:10:27.000Z,2020-06-22T15:10:28.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,oxide,Y2O3,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'oxide'}, {'subject': 'Y2O3'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.10607085,Fighting Climate Change: Mapping the Carbon Footprint Flows of COP 28,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"With each additional COP conference, there is a growing chorus of criticism due to the high carbon footprint associated with the event, mostly due to the intensive amount of international air travel. There has also been a growing chorus of voices raising the related question as to whether COP conferences can become virtual to play a greater leadership role in the reduction of carbon emissions and serve as a good role model for what it is advocating to the rest of the world. COVID19 demonstrated that it was possible for billions of people to adapt and rapidly change behavior from physical face-to-face meetings to virtual online ones. Even after COVID was over, many meetings that have migrated permanently to online. In this study, we consider the feasibility of migrating COP from a currently high to a low carbon emission event, mainly by minimizing the amount of air travel and cutting indirect carbon emissions. The study is framed as an optimization problem, a tradeoff between the carbon emissions of tens of thousands of long distance flights to one global COP destination and the carbon emissions of many shorter trips to an increased number of regional destinations.Â ",api,True,findable,0,0,0,0,1,2024-02-01T17:41:33.000Z,2024-02-01T17:41:33.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_raman_vaterite,Raman bandlist of Vaterite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural and synthetic Vaterite at 295K,mds,True,findable,0,0,3,0,0,2023-12-24T21:10:49.000Z,2023-12-24T21:10:50.000Z,inist.sshade,mgeg,"Vaterite,Calcium cation,Carbonate anion,Calcium(2+) cation,14127-61-8,Ca2+,(CO3)2-,CaCO3,Vaterite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Vaterite group,14.01.02.01,05.AB.20,Raman scattering,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Vaterite', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'CaCO3', 'subjectScheme': 'formula'}, {'subject': 'Vaterite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Vaterite group', 'subjectScheme': 'Dana group'}, {'subject': '14.01.02.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.20', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.26302/sshade/experiment_ml_20171220_002,Zr K edge XAS fluorescence of haplogranite Zr glass at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:07:20.000Z,2019-12-05T14:07:21.000Z,inist.sshade,mgeg,"laboratory,silicate,Haplogranite Zr glass,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'laboratory'}, {'subject': 'silicate'}, {'subject': 'Haplogranite Zr glass'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/bandlist_abs_ch3oh_alpha-ch3oh,Absorption band list of CH3OH in natural solid CH3OH (phase alpha),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",VUV-NIR-MIR-FIR absorption band list of the isotopes of $CH_3OH$ in natural solid $\alpha-CH_3OH$,mds,True,findable,0,0,0,0,0,2023-04-21T07:10:41.000Z,2023-04-21T07:10:41.000Z,inist.sshade,mgeg,"natural CH3OH - phase alpha,Methanol,solid alpha-Methanol,$\alpha-CH_3OH$,Methanol,67-56-1,CH3OH,hydrogen bonded molecular solid,molecular solids with hydrogen bonded molecules,organic molecular solid,absorption,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural CH3OH - phase alpha', 'subjectScheme': 'name'}, {'subject': 'Methanol', 'subjectScheme': 'name'}, {'subject': 'solid alpha-Methanol', 'subjectScheme': 'name'}, {'subject': '$\\alpha-CH_3OH$', 'subjectScheme': 'name'}, {'subject': 'Methanol', 'subjectScheme': 'IUPAC name'}, {'subject': '67-56-1', 'subjectScheme': 'CAS number'}, {'subject': 'CH3OH', 'subjectScheme': 'formula'}, {'subject': 'hydrogen bonded molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with hydrogen bonded molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.17178/emaa_c(18o)_rotation_a61158dd,"Rotation excitation of C[18O] by ortho-H2O, para-H2 and para-H2O collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",11 rotation energy levels / 10 radiative transitions / 10 collisional transitions for para-H2 (9 temperatures in the range 2-40K) / 55 collisional transitions for para-H2O (20 temperatures in the range 5-100K) / 55 collisional transitions for ortho-H2O (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:11.000Z,2022-02-07T11:24:12.000Z,inist.osug,jbru,"target C[18O],excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 para-H2O,collider.2 ortho-H2O,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2O', 'subjectScheme': 'var'}, {'subject': 'collider.2 ortho-H2O', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/amma-catch.ce.raind_nc,"Precipitation dataset (daily rainfall), for the 2005-2010 period, high-density network over 100 km2, Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of Sahelian rainfall at the local scale in order to analyse links between rainfall and the current vegetation, how does vegetation influence the location of rain fields ?",mds,True,findable,0,0,1,0,0,2018-03-16T15:36:57.000Z,2018-03-16T15:36:58.000Z,inist.osug,jbru,"Daily rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount","[{'subject': 'Daily rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.4745568,robertxa/Topographies-Samoens_Folly: Zenodo DOI,Zenodo,2021,,Software,Open Access,"Base de donnÃ©es topographiques du massif du Folly (SamoÃ«ns, France)",mds,True,findable,0,0,0,0,0,2021-05-10T10:27:06.000Z,2021-05-10T10:27:07.000Z,cern.zenodo,cern,,,,
-10.18709/perscido.2016.10.ds32,DM Authors,PerSciDo,2016,en,Dataset,,"DM-Authors dataset contains information about 4,906 researchers in the domain of data management. The dataset is a crawling on DBLP in October 2014. For each researcher, demographic attributes (gender, seniority, number of publications and publication rate) and activity attributes (list of venues and keywords that the researcher has contribute to) are provided.",api,True,findable,0,0,0,1,0,2017-11-03T14:40:17.000Z,2017-11-03T14:40:17.000Z,inist.persyval,vcob,"Computer Science,Social Web","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Social Web'}]",['20 MB'],['csv']
-10.5061/dryad.dbrv15f06,"Rainfall continentality, via the winter GAMS angle, provides a new dimension to biogeographical distributions in the Western United States",Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Aim: Drought stress, and its effects on the biogeography of vegetation, has focused primarily on water availability during the growing season, thus focusing primarly on summer. However, variation in rainfall continentality (i.e., the continental interior being insulated from oceanic influences) can produce striking vegetation differences. We aim to disentangle summer water balance from the influence of rainfall continentality on winter rainfall, to better understand how climate regulated the distributions of woody plants in the Western USA. Location: Western USA. Time period: Actual. Major taxa studied: Angiosperms and Conifers. Method: We used Redundancy Analysis (RDA) to investigate correlations between rainfall continentality, summer water balance, minimum winter temperature and length of growing season on the distributions of 130 tree and shrub species in 467 plots. Rainfall continentality was calculated using the Gams (1932) index, modified for winter precipitation, and summer water balance with the ratio of summer precipitation to temperature. We estimated Actual EvapoTranspiration (AET), Deficit (DEF), mean annual temperature and rainfall from global gridded datasets and correlated them with RDA axes. Results: Rainfall continentality measured with the Gams index and minimum temperatures best explained the contrast between oceanic vegetation in the Pacific Coast Ranges and continental vegetation in the Intermountain Region and Rocky Mountains. Growing Season Length (GSL) was the second strongest factor correlated with vegetation distributions. Summer water balance, despite being the most widely used climatic factor to assess drought stress in biogeography, was the third strongest factor correlating with vegetation classes of the western US. AET was equally correlated with RDA axes 1 and 3, and, thus, could not discriminate between the contrasts in the RDA. Main conclusions: Rainfall continentality measured with the winter Gams index provides a more precise metric than summer water balance for understanding how the biogeography of woody plants in the western USA is regulated by climate. Broadly integrating the Gams index of continentality into plant distributions may improve our understanding of biogeographical distributions, the evolution of subspecies in species that span coastal to interior regions, and predictions of responses to climate change.",mds,True,findable,148,6,0,0,0,2020-10-12T22:48:58.000Z,2020-10-12T22:48:59.000Z,dryad.dryad,dryad,Biogeography,"[{'subject': 'Biogeography', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['175547 bytes'],
-10.5281/zenodo.8076436,National forest inventory data for a size-structured forest population model,Zenodo,2023,,Software,"MIT License,Open Access","In forest communities, light competition is a key process for community assembly. Species' differences in seedling and sapling tolerance to shade cast by overstory trees is thought to determine species composition at late-successional stages. Most forests are distant from these late-successional equilibria, impeding a formal evaluation of their potential species composition. To extrapolate competitive equilibria from short-term data, we therefore introduce the JAB model, a parsimonious dynamic model with interacting size-structured populations, which focuses on sapling demography including the tolerance to overstory competition. We apply the JAB model to a two-""species"" system from temperate European forests, i.e. the shade-tolerant species Fagus sylvatica L. and the group of all other competing species. Using Bayesian calibration with prior information from external Slovakian national forest inventory (NFI) data, we fit the JAB model to short timeseries from the German NFI. We use the posterior estimates of demographic rates to extrapolate that F. sylvatica will be the predominant species in 94% of the competitive equilibria, despite only predominating in 24% of the initial states. We further simulate counterfactual equilibria with parameters switched between species to assess the role of different demographic processes for competitive equilibria. These simulations confirm the hypothesis that the higher shade-tolerance of F. sylvatica saplings is key for its long-term predominance. Our results highlight the importance of demographic differences in early life stages for tree species assembly in forest communities.",mds,True,findable,0,0,0,0,0,2023-06-27T02:56:15.000Z,2023-06-27T02:56:16.000Z,cern.zenodo,cern,"NFI,National Forest Inventory,Fagus sylvatica,JAB model","[{'subject': 'NFI'}, {'subject': 'National Forest Inventory'}, {'subject': 'Fagus sylvatica'}, {'subject': 'JAB model'}]",,
-10.5281/zenodo.5013300,Radiative transfer modeling in structurally-complex stands: what aspects matter most?: Dataset,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository is linked to the paper ""Radiative transfer modeling in structurally-complex stands: what aspects matter most?"" submitted to Annals of Forest Science and written by FrÃ©dÃ©ric ANDRÃ‰ (corresponding author), Louis DE WERGIFOSSE, FranÃ§ois DE COLIGNY, Nicolas BEUDEZ, Gauthier LIGOT, Vincent GAUTHRAY-GUYÃ‰NET, Benoit COURBAUD and Mathieu JONARD. The repository contains the three following files : CalibrationResults.csv: Bayes factors and summary statistics of parameter estimates for each calibration run ParameterPosteriorDistributions.csv: median values and 90% credible intervals for the parameter posterior distributions StatisticalComparison.csv: statistics (Fractional bias, Root mean square error, Paired Student test, Pearson correlation coefficient, Parameters of the Deming regression between observed and predicted values) used to compare the 'Best model configurations' For more information concerning this repository or the study, please do not hesitate to contact FrÃ©dÃ©ric ANDRÃ‰ (frederic.andre@uclouvain.be) or Mathieu JONARD (mathieu.jonard@uclouvain.be).",mds,True,findable,0,0,0,0,0,2021-06-22T14:09:45.000Z,2021-06-22T14:09:46.000Z,cern.zenodo,cern,"Light interception,Heterogeneous,Crown asymmetry,Lambert-Beer,Porous envelope,Bayesian optimization","[{'subject': 'Light interception'}, {'subject': 'Heterogeneous'}, {'subject': 'Crown asymmetry'}, {'subject': 'Lambert-Beer'}, {'subject': 'Porous envelope'}, {'subject': 'Bayesian optimization'}]",,
-10.15778/resif.ze2018,Passive temporary dense network in Quito City (Ecuador) for site-city interaction (RESIF - SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2019,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","In the META-City Quito experiment, we expect to accurately measure the effect of the resonators array composed by civil engineering structures on the seismic wave field, in the manner of an urban meta-material. Recent applications in the field of physics, acoustics and recently geophysics have shown the existence of forbidden bands, that is, frequencies in which the seismic energy disappears. This concept could help to understand the heterogeneous distribution of damage in urban areas as well as to imagine seismic-proof cities as a result of the distribution and design of structures.",mds,True,findable,0,0,0,0,0,2019-08-16T10:02:39.000Z,2019-08-16T10:03:48.000Z,inist.resif,vcob,"urban seismology,site-city interaction,Meta-City Quito,Ecuador,Seismic risk","[{'subject': 'urban seismology'}, {'subject': 'site-city interaction'}, {'subject': 'Meta-City Quito'}, {'subject': 'Ecuador'}, {'subject': 'Seismic risk'}]",['24 Gb;42 stations'],"['miniseed data', 'stationXML metadata']"
-10.6084/m9.figshare.22620040,"Additional file 4 of Biallelic variants in NOS3 and GUCY1A3, the two major genes of the nitric oxide pathway, cause moyamoya cerebral angiopathy",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 4: NOS3 homozygous splice variant in M084 and NOS3 homozygous missense variant in M035.,mds,True,findable,0,0,0,0,0,2023-04-13T14:39:30.000Z,2023-04-13T16:07:50.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['286190 Bytes'],
-10.5281/zenodo.6793401,Pycorr,Zenodo,2022,,Software,Open Access,"PYCORR v1.0 https://gricad-gitlab.univ-grenoble-alpes.fr/bouep/pycorr/ Python3.7 Ambient seismic noise correlation package Retrieve seismic station information from FDSN catalog : http://service.iris.edu/irisws/fedcatalog/1/ Retrieve waveforms from FDSN-webservices and/or personal archive Basic processing ""on the fly"": decimation, sensor response, gaps... Possible (pre-) processing before correlation Xcorr with flexible parameters for optimized tomography and/or monitoring applications Tensor rotation to retrieve RT information Basic toolbox to extract and plot correlations results from large output",mds,True,findable,0,0,0,0,0,2022-07-04T08:11:39.000Z,2022-07-04T08:11:40.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_raman_nico3,Raman bandlist of synthetic NiCO3,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of synthetic $NiCO_3$ at 295K,mds,True,findable,0,0,0,0,0,2023-08-20T15:20:26.000Z,2023-08-20T15:20:26.000Z,inist.sshade,mgeg,"$NiCO_3$,Nickel cation,Carbonate anion,Nickel carbonate,Nickel(2+) cation,14701-22-5,3333-67-3,Ni2+,(CO3)2-,NiCO3,normal salt,normal salts,carbonate,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': '$NiCO_3$', 'subjectScheme': 'name'}, {'subject': 'Nickel cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Nickel carbonate', 'subjectScheme': 'name'}, {'subject': 'Nickel(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '14701-22-5', 'subjectScheme': 'CAS number'}, {'subject': '3333-67-3', 'subjectScheme': 'CAS number'}, {'subject': 'Ni2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'NiCO3', 'subjectScheme': 'formula'}, {'subject': 'normal salt', 'subjectScheme': 'class'}, {'subject': 'normal salts', 'subjectScheme': 'class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5061/dryad.v475g,Data from: Integrating correlation between traits improves spatial predictions of plant functional composition,Dryad,2017,en,Dataset,Creative Commons Zero v1.0 Universal,"Functional trait composition is increasingly recognized as key to better understand and predict community responses to environmental gradients. Predictive approaches traditionally model the weighted mean trait values of communities (CWMs) as a function of environmental gradients. However, most approaches treat traits as independent regardless of known trade-offs between them, which could lead to spurious predictions. To address this issue, we suggest jointly modeling a suit of functional traits along environmental gradients while accounting for relationships between traits. We use generalized additive mixed effect models to predict the functional composition of alpine grasslands in the Guisane Valley (France). We demonstrate that, compared to traditional approaches, joint trait models explain considerable amounts of variation in CWMs, yield less uncertainty in trait CWM predictions and provide more realistic spatial projections when extrapolating to novel environmental conditions. Modeling traits and their co-variation jointly is an alternative and superior approach to predicting traits independently. Additionally, compared to a â€œpredict first, assemble laterâ€ approach that estimates trait CWMs post hoc based on stacked species distribution models, our â€œassemble first, predict laterâ€ approach directly models trait-responses along environmental gradients, and does not require data and models on speciesâ€™ distributions, but only mean functional trait values per community plot. This highlights the great potential of joint trait modeling approaches in large-scale mapping applications, such as spatial projections of the functional composition of vegetation and associated ecosystem services as a response to contemporary global change.",mds,True,findable,167,17,1,1,0,2017-10-05T16:00:32.000Z,2017-10-05T16:00:33.000Z,dryad.dryad,dryad,"generalized additive mixed effect models,Community weighted mean,response and effect traits","[{'subject': 'generalized additive mixed effect models'}, {'subject': 'Community weighted mean'}, {'subject': 'response and effect traits'}]",['16754 bytes'],
-10.15778/resif.yi2008,Seismic network YI:SIMBAAD temporary experiment - Anatolia Eastern transect (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2008,en,Other,"Open Access,Creative Commons Attribution 4.0 International",Temporary seismic profile across West-Central Anatolia. Goal: imaging of the lithospheric structure using earthquake data. 23 seismic stations with ~15 km spacing along a North-South line at 30.5Â°E. Sensors: mostly GÃ¼ralp CMG40-T. Digitizers: Agecodagis Minititan,mds,True,findable,0,0,0,1,0,2014-12-09T14:49:34.000Z,2014-12-09T14:49:34.000Z,inist.resif,vcob,"Central Anatolia,Crustal structure,Lithospheric structure,Seismic imaging","[{'subject': 'Central Anatolia'}, {'subject': 'Crustal structure'}, {'subject': 'Lithospheric structure'}, {'subject': 'Seismic imaging'}]",,
-10.6084/m9.figshare.20235676,Implementation of a biopsychosocial approach into physiotherapistsâ€™ practice: a review of systematic reviews to map barriers and facilitators and identify specific behavior change techniques,Taylor & Francis,2022,,Dataset,Creative Commons Attribution 4.0 International,"Our first objective was to map the barriers and facilitators to the implementation of a biopsychosocial approach into physiotherapistsâ€™ practice within the Theoretical Domains Framework (TDF). Our second objective was to identify the specific behavior change techniques (BCT) that could facilitate this implementation. We conducted a review of systematic reviews to identify barriers and facilitators to the use of a biopsychosocial approach by physiotherapists and we mapped them within the TDF domains. We then analyzed these domains using the Theory and Techniques tool (TaTT) to identify the most appropriate BCTs for the implementation of a biopsychosocial approach into physiotherapistsâ€™ practice. The barriers and facilitators to the use of a biopsychosocial approach by physiotherapists were mapped to 10 domains of the TDF (Knowledge; skills; professional role; beliefs about capabilities; beliefs about consequences; intentions; memory, attention and decision processes; environmental context; social influences; emotion). The inclusion of these domains within the TaTT resulted in the identification of 33 BCTs that could foster the use of this approach by physiotherapists. Investigating the implementation of a biopsychosocial approach into physiotherapistsâ€™ practice from a behavior change perspective provides new strategies that can contribute to successfully implement this approach.Implications for RehabilitationThe implementation of a biopsychosocial approach into physiotherapistsâ€™ practice is a complex process which involves behavior changes influenced by several barriers and facilitators.Barriers and facilitators reported by physiotherapists when implementing a biopsychosocial approach can be mapped within 10 domains of the Theoretical Domain Framework.Thirty-three behavior change techniques (e.g., verbal persuasion about capability, problem solving, restructuring the physical environment, etc.) were identified to foster the implementation of a biopsychosocial approach and specifically target barriers and facilitators.By using a behavior change perspective, this study highlights new strategies and avenues that can support current efforts to successfully implement the use of a biopsychosocial approach into physiotherapistsâ€™ practice. The implementation of a biopsychosocial approach into physiotherapistsâ€™ practice is a complex process which involves behavior changes influenced by several barriers and facilitators. Barriers and facilitators reported by physiotherapists when implementing a biopsychosocial approach can be mapped within 10 domains of the Theoretical Domain Framework. Thirty-three behavior change techniques (e.g., verbal persuasion about capability, problem solving, restructuring the physical environment, etc.) were identified to foster the implementation of a biopsychosocial approach and specifically target barriers and facilitators. By using a behavior change perspective, this study highlights new strategies and avenues that can support current efforts to successfully implement the use of a biopsychosocial approach into physiotherapistsâ€™ practice.",mds,True,findable,0,0,0,1,0,2022-07-06T02:40:05.000Z,2022-07-06T02:40:05.000Z,figshare.ars,otjm,"Space Science,Medicine,Genetics,FOS: Biological sciences,Neuroscience,Ecology,Sociology,FOS: Sociology,69999 Biological Sciences not elsewhere classified,19999 Mathematical Sciences not elsewhere classified,FOS: Mathematics,Cancer,Plant Biology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Ecology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '19999 Mathematical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Plant Biology'}]",['164588 Bytes'],
-10.26302/sshade/bandlist_abs_h2o_h2o-ih,"Absorption band list of H2O in natural solid H2O (phase I: Ih, Ic)",SSHADE/BANDLIST (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","FIR-MIR-NIR absorption band list of $H_2O$ in natural solid $H_2O$ (phase I: Ih, Ic) at 20, 100, 140 and 270 K",mds,True,findable,0,0,0,0,0,2023-04-21T07:11:18.000Z,2023-04-21T07:11:19.000Z,inist.sshade,mgeg,"natural H2O - phase Ih,Water,Water ice Ih,H2O Ih,Water, Oxidane,7732-18-5,H2O,hydrogen bonded molecular solid,molecular solids with hydrogen bonded molecules,inorganic molecular solid,absorption,FIR,MIR,NIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural H2O - phase Ih', 'subjectScheme': 'name'}, {'subject': 'Water', 'subjectScheme': 'name'}, {'subject': 'Water ice Ih', 'subjectScheme': 'name'}, {'subject': 'H2O Ih', 'subjectScheme': 'name'}, {'subject': 'Water, Oxidane', 'subjectScheme': 'IUPAC name'}, {'subject': '7732-18-5', 'subjectScheme': 'CAS number'}, {'subject': 'H2O', 'subjectScheme': 'formula'}, {'subject': 'hydrogen bonded molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with hydrogen bonded molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.26302/sshade/experiment_ag_20131016_000,Evolution with time of the MIR absorbance spectrum of Portlandite at 25Â°C in contact with 0.1 and 2 bar CO2 gas,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Evolution with time of the MIR absorbance spectrum of Portlandite at 25Â°C in contact with 0.1 and 2 bar CO2 gas,mds,True,findable,0,0,0,0,0,2019-11-15T20:23:25.000Z,2019-11-15T20:23:25.000Z,inist.sshade,mgeg,"commercial,oxide-hydroxide,Portlandite,carbonate,Calcite,Aragonite,physically adsorbed phase,Adsorbed water,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance","[{'subject': 'commercial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Portlandite'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'Aragonite'}, {'subject': 'physically adsorbed phase'}, {'subject': 'Adsorbed water'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['28 spectra'],['ASCII']
-10.5281/zenodo.999197,rmari/OscillatoryCrossShear: Codes implementing driving protocols for viscosity and dissipation reduction in granular suspensions,Zenodo,2017,,Software,Open Access,Codes for dense granular suspensions under OCS protocols,mds,True,findable,0,0,1,0,0,2017-09-29T09:12:47.000Z,2017-09-29T09:12:47.000Z,cern.zenodo,cern,"rheology,granular suspensions,soft matter,viscosity,dissipation","[{'subject': 'rheology'}, {'subject': 'granular suspensions'}, {'subject': 'soft matter'}, {'subject': 'viscosity'}, {'subject': 'dissipation'}]",,
-10.5281/zenodo.5243218,Lithuanian DBnary archive in original Lemon format,Zenodo,2021,lt,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Lithuanian language edition, ranging from 6th April 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T10:44:17.000Z,2021-08-24T10:44:18.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.26302/sshade/experiment_sr_20200204_01,Ion irradiation ($He^+$) of a Serpentine UB-N pellet probed by IR spectroscopy in the Vis-NIR range,SSHADE/DAYSY (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis and Near-IR spectra of a pellet of Serpentine UB-N, with different irradiation fluences.",mds,True,findable,0,0,0,0,0,2022-05-28T19:09:45.000Z,2022-05-28T19:09:47.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,Serpentine UB-N,laboratory measurement,bidirectional reflection,microscopy,Vis,Visible,macroscopic,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Serpentine UB-N'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'microscopy'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['4 spectra'],['ASCII']
-10.26302/sshade/experiment_gv_20181121_002,Ag K edge XAS fluorescence of AgL1 complex solution (L1=NTA(CysOEt)3 and pH=7.4) at 16K,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:32:59.000Z,2019-12-05T14:32:59.000Z,inist.sshade,mgeg,"laboratory,molecular solid solution,Frozen solution of AgL1 complex (L1=NTA(CysOEt)3 and pH=7.4), model for trigonal AgS3 coordination,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of AgL1 complex (L1=NTA(CysOEt)3 and pH=7.4), model for trigonal AgS3 coordination'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.10262984,Unite! handbook of best practices for effective mainstreaming of open science and innovation at Universities,Unite! Alliance Publications,2023,en,Text,Creative Commons Attribution 4.0 International,"This handbook is a practical guide for facilitating researchers, R&I support services, and university managers to transition from modern science to open science. Based on a comparative case study of 70 research teams across 7 European universities in the Unite! Alliance, this handbook reveals a high-impact understanding of the best open science and innovation practices on Unite! research teams and exposes guidelines for the adoption of these practices. This handbook shapes a new governance model for the management of open science and innovation in universities in the digital era.Â ",api,True,findable,0,0,0,0,0,2023-12-11T11:19:52.000Z,2023-12-11T11:19:52.000Z,cern.zenodo,cern,"open science,open science management,university governance,open innovation,science and innovation policy,open exploration,european universities alliances","[{'subject': 'open science'}, {'subject': 'open science management'}, {'subject': 'university governance'}, {'subject': 'open innovation'}, {'subject': 'science and innovation policy'}, {'subject': 'open exploration'}, {'subject': 'european universities alliances'}]",,
-10.5281/zenodo.5842110,"InSAR Displacements in the Delaware Basin, TX",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These data are the vertical and east-west horizontal cumulative displacements in the Delaware Basin, between 2015-03-05 through 2020-03-31. They are presented in ""Shallow Aseismic Slip in the Delaware Basin Determined by Sentinel-1 InSAR"", submitted to <em>JGR: Solid Earth</em> on September 1st, 2021. The format of both files is [longitude, latitude, X, Y, displacement (cm)]. For vertical displacements, negative values indicate subsidence and positive values indicate uplift. For horizontal displacement, negative values indicate westward displacement, and positive values indicate eastward displacement. Version 2 (_v2) were updated Dec. 28th, 2021.",mds,True,findable,0,0,0,1,0,2022-01-12T19:37:46.000Z,2022-01-12T19:37:47.000Z,cern.zenodo,cern,"InSAR,Delaware Basin,induced seismicity,aseismic slip","[{'subject': 'InSAR'}, {'subject': 'Delaware Basin'}, {'subject': 'induced seismicity'}, {'subject': 'aseismic slip'}]",,
-10.17178/amma-catch.cl.rain_n,"Precipitation dataset (5 minutes rainfall), 30 long-term stations over the Niamey square degree site (16 000 km2), Niger","IRD, CNRS-INSU, OSUG, OMP, OREME",1990,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in the Sahelian zone. The aim is to characterize the temporal and spatial variability of rainfall at meso-scale, with a good resolution of the convective scale patterns. Data is used in hydrological modelling and assimilation activities, process studies as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:14.000Z,2018-03-16T15:37:14.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian climate,Precipitation Amount (previous hour),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous 24 hours)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.26302/sshade/bandlist_raman_ankerite,Raman bandlist of natural Ankerite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Ankerite (Fe &gt; Mg) at 295K,mds,True,findable,0,0,0,0,0,2023-08-26T09:04:37.000Z,2023-08-26T09:04:37.000Z,inist.sshade,mgeg,"Ankerite,Calcium,Iron(II) cation,Magnesium,Manganese(II) cation,Carbonate anion,Calcium,Iron(2+) cation,Magnesium,Manganese(2+) cation,7440-70-2,15438-31-0,7439-95-4,16397-91-4,Ca,Fe2+,Mg,Mn2+,(CO3)2-,Ca(Fe2+,Mg,Mn2+)(CO3)2,Ankerite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Norsethite Group,14.02.01.02,05.AB.10,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Ankerite', 'subjectScheme': 'name'}, {'subject': 'Calcium', 'subjectScheme': 'name'}, {'subject': 'Iron(II) cation', 'subjectScheme': 'name'}, {'subject': 'Magnesium', 'subjectScheme': 'name'}, {'subject': 'Manganese(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Calcium', 'subjectScheme': 'IUPAC name'}, {'subject': 'Iron(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Magnesium', 'subjectScheme': 'IUPAC name'}, {'subject': 'Manganese(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '7440-70-2', 'subjectScheme': 'CAS number'}, {'subject': '15438-31-0', 'subjectScheme': 'CAS number'}, {'subject': '7439-95-4', 'subjectScheme': 'CAS number'}, {'subject': '16397-91-4', 'subjectScheme': 'CAS number'}, {'subject': 'Ca', 'subjectScheme': 'formula'}, {'subject': 'Fe2+', 'subjectScheme': 'formula'}, {'subject': 'Mg', 'subjectScheme': 'formula'}, {'subject': 'Mn2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'Ca(Fe2+,Mg,Mn2+)(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'Ankerite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Norsethite Group', 'subjectScheme': 'Dana group'}, {'subject': '14.02.01.02', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.10', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5281/zenodo.6458203,Data supporting the preprint: Soot and charcoal as reservoirs of extracellular DNA,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","- Adsorption isotherms and kinetic data for adsorption of short and long DNA strands at soot and charcoal particles as a function of solution composition, pH and presence of competing compounds such as phosphates and alcohols. - Material characterisation analyses: XRD, XPS, Raman, water adsorption, zeta potential, mass titration",mds,True,findable,0,0,0,0,0,2022-04-13T13:36:48.000Z,2022-04-13T13:36:48.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.16851063,Additional file 10 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Text,Creative Commons Attribution 4.0 International,"Additional file 10: Table S1. Differently expressed proteins in HeLa clones expressing the mutant and the wild type NDPK-D. The full protein names are from the UniProt database. Accession number are from UniProt (Acc._HUMAN) and SwissProt databases. The one-way analysis of variance (ANOVA) test, followed by a Tukeyâ€™s multiple comparison test, was used to determine protein spots significantly different between analyses. p-values were calculated across pairwise comparisons (clones KD vs WT, BD vs WT and CTR vs WT) and considered significant when &lt;â€‰0.05. Proteins were ordered following the fold changes in the KD vs WT comparison. * Two identifications for the same spot. Bold values, fold change statistically significant (p&lt;â€‰0.05) and â‰¥1.3. Italic values, fold change not statistically valid (p &gt;â€‰0.05) or â‰¤1.3. Â§ Proteins reported to present a mitochondrial localization (UniProt annotation) are indicated by M.",mds,True,findable,0,0,93,1,0,2021-10-22T04:03:05.000Z,2021-10-22T04:03:07.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['84459 Bytes'],
-10.17178/emaa_ortho-h2co_hyperfine_4628f093,Hyperfine excitation of ortho-H2CO by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2019,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 hyperfine energy levels / 69 radiative transitions / 324 collisional transitions for para-H2 (10 temperatures in the range 10-100K),mds,True,findable,0,0,0,0,0,2021-11-17T14:01:31.000Z,2021-11-17T14:01:32.000Z,inist.osug,jbru,"target ortho-H2CO,excitationType Hyperfine,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2CO', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.6084/m9.figshare.12295910,Metadata record for: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data,figshare,2020,,Dataset,Creative Commons Zero v1.0 Universal,This dataset contains key characteristics about the data described in the Data Descriptor The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>,mds,True,findable,0,0,1,2,0,2020-05-29T12:13:47.000Z,2020-05-29T12:13:48.000Z,figshare.ars,otjm,"49999 Earth Sciences not elsewhere classified,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences,Environmental Science,Climate Science,Biochemistry,60302 Biogeography and Phylogeography,FOS: Biological sciences,FOS: Biological sciences","[{'subject': '49999 Earth Sciences not elsewhere classified', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Environmental Science'}, {'subject': 'Climate Science'}, {'subject': 'Biochemistry'}, {'subject': '60302 Biogeography and Phylogeography', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['37506 Bytes'],
-10.5061/dryad.kc7h9,Data from: Evaluating the impact of domestication and captivity on the horse gut microbiome,Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"The mammal gut microbiome, which includes host microbes and their respective genes, is now recognized as an essential second genome that provides critical functions to the host. In humans, studies have revealed that lifestyle strongly influences the composition and diversity of the gastrointestinal microbiome. We hypothesized that these trends in humans may be paralleled in mammals subjected to anthropogenic forces such as domestication and captivity, in which diets and natural life histories are often greatly modified. We investigated fecal microbiomes of Przewalskiâ€™s horse (PH; Equus ferus przewalskii), the only horses alive today not successfully domesticated by humans, and herded, domestic horse (E. f. caballus) living in adjacent natural grasslands. We discovered PH fecal microbiomes hosted a distinct and more diverse community of bacteria compared to domestic horses, which is likely partly explained by different plant diets as revealed by trnL maker data. Within the PH population, four individuals were born in captivity in European zoos and hosted a strikingly low diversity of fecal microbiota compared to individuals born in natural reserves in France and Mongolia. These results suggest that anthropogenic forces can dramatically reshape equid gastrointestinal microbiomes, which has broader implications for the conservation management of endangered mammals.",mds,True,findable,372,55,0,1,0,2017-10-31T14:59:05.000Z,2017-10-31T14:59:06.000Z,dryad.dryad,dryad,"horse,Przewalski horse,trnL marker,Modern,Przewalskiâ€™s horse,Holocene","[{'subject': 'horse'}, {'subject': 'Przewalski horse'}, {'subject': 'trnL marker'}, {'subject': 'Modern'}, {'subject': 'Przewalskiâ€™s horse'}, {'subject': 'Holocene'}]",['13602031 bytes'],
-10.17178/ohmcv.dsd.vb3.12-14.1,"DSD network, Villeneuve-de-Berg-3",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:24.000Z,2017-03-10T17:09:25.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.5281/zenodo.8124000,20230523-VBCE: Agents adapt ontologies to agree on decision taking. Introducing cultural values,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment. Experiment Label: 20230523-VBCE Experiment design: Agents adapt ontologies to agree on decision taking. Introducing cultural values (independece, novelty, authority, mastery) that influence which agent adapts in case of interaction failure. Experiment setting: Agents learn decision trees (transformed into ontologies); get payoffs according to cultural values; adapt by splitting their leaf nodes Hypotheses: Positive mastery is needed for increasing accuracy. Negative independence causes the success rate to converge faster. Negative novelty increases ontology distance. Positive authority increases accuracy when used with positive mastery. Detailed information can be found in index.html or notebook.ipynb. [1] https://sake.re/20230523-VBCE<br> [2] https://gitlab.inria.fr/moex/lazylav/",mds,True,findable,0,0,0,0,0,2023-07-07T11:57:13.000Z,2023-07-07T11:57:13.000Z,cern.zenodo,cern,"Multi-agent Simulation,Cultural Evolution","[{'subject': 'Multi-agent Simulation'}, {'subject': 'Cultural Evolution'}]",,
-10.5281/zenodo.4640463,Optimal Exclusive Perpetual Grid Exploration by Luminous Myopic Robots without Common Chirality: The Animations,Zenodo,2021,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","Animations of two optimal perpetual grid exploration algorithms. The published HTML pages allow the viewer to see the first 300 rounds of the algorithms, for different initial configurations. To view the animation without downloading them, they are also accessible at the following urls: https://bramas.fr/static/NETYS2021/range-1_3-robots_3-colors.html https://bramas.fr/static/NETYS2021/range-2_5-robots_oblivious.html",mds,True,findable,0,0,0,0,0,2021-03-26T17:53:10.000Z,2021-03-26T17:53:11.000Z,cern.zenodo,cern,"Mobile robots, distributed algorithms","[{'subject': 'Mobile robots, distributed algorithms'}]",,
-10.5061/dryad.qv9s4mwgb,"Root traits, root diameter distribution and soil parameters at the community level along a mediterranean successional gradient",Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"The data correspond to average root traits at the community level, and parameters describing the root diameter distribution at the community level. Soil parameters are also indicated. All measurements were conducted along a successional gradient on roadsides in the Mediterranean region (Montpellier, France, 43Â°6â€²N, 3Â°8â€²E). These data were used in the article entitled ""Dissecting fine root diameter distribution at the community level captures root morpological diversity"" from Erktan, A., Roumet, C., Munoz, F (in press) in Oikos (2022).",mds,True,findable,129,4,0,1,0,2022-02-02T03:29:45.000Z,2022-02-02T03:29:47.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['15071 bytes'],
-10.17178/emaa_(13c)(17o)_hyperfine_164ecb70,Hyperfine excitation of [13C][17O] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",75 hyperfine energy levels / 176 radiative transitions / 2775 collisional transitions for para-H2 (11 temperatures in the range 5-400K) / 2775 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:50:19.000Z,2023-12-07T15:50:20.000Z,inist.osug,jbru,"target [13C][17O],excitationType Hyperfine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [13C][17O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.5723996,"XYZ files &amp; Spin densities and Molecular Orbitals for ""Quantum mechanical simulations of the radical-radical chemistry on icy surfaces""",Zenodo,2021,,Other,"Creative Commons Attribution 4.0 International,Open Access","1. Structures of the optimized geometries obtained when investigating radical--radical reactions on the surfaces of amorphous water ices mimicking the chemical processes that take place in the interstellar medium. Structures in XYZ format, all together in a single PDF file. 2. Figures of the spin densities and molecular orbitals (the ones corresponding to the unpaired electrons) of each one of the stationary points on the PESs, the adsorbed geometries, and the isolated radicals for reference.",mds,True,findable,0,0,0,0,0,2021-12-08T14:45:30.000Z,2021-12-08T14:45:31.000Z,cern.zenodo,cern,"Interstellar molecules,Interstellar dust processes,Dense interstellar clouds,Surface ices","[{'subject': 'Interstellar molecules'}, {'subject': 'Interstellar dust processes'}, {'subject': 'Dense interstellar clouds'}, {'subject': 'Surface ices'}]",,
-10.5281/zenodo.3981252,Ultra-wideband SAR Tomography on asteroids : FDBP and Compressive Sensing datasets,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Our knowledge of the internal structure of asteroids is currently indirect and relies on inferences from remote sensing observations of surfaces. However, it is fundamental for understanding small bodiesâ€™ history and for planetary defense missions. Radar observation of asteroids is the most mature technique available to characterize their inner structure, and Synthetic Aperture Radar Tomography (TomoSAR) allows 3D imaging by extending the synthetic aperture principle in the elevation direction. However, as the geometry of observation of small asteroids is complex, and TomoSAR studies have always been performed in the Earth observation geometry, TomoSAR results in a small body geometry must be simulated to assess the methodsâ€™ performances. Different tomography algorithms can be adopted, depending on the characteristics of the problem. While the Frequency Domain Back Projection (FDBP) is based on the correction of the Fourier transform of the received signal by an <em>ad-hoc</em> function built from the geometry of study, it can only retrieve the true position of the scatterers when applied along with ray-tracing methods, which are unreliable in the case of rough asteroid surfaces. Meanwhile, the Compressive Sensing (CS) is based on the compressive sampling theory, which relies on the hypothesis that few scatterers lie in the same direction from the subsurface. The CS can be used to retrieve the position of the scatterers, but its application in the small body geometry is questioned. Thus, both performances of the FDBP and the CS in a small body geometry are demonstrated, and the quality of the reconstruction is analyzed.",mds,True,findable,0,0,0,0,0,2020-08-12T15:57:06.000Z,2020-08-12T15:57:07.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.3625778,Database rockfills,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data compilation from large drained compression triaxial tests on coarse crushable rockfill materials. With the aim of enlarging and consolidating the database on the mechanical behavior of coarse rockfills, this file compiles 158 drained triaxial compression tests conducted on 33 different materials, performed on samples of about 1000 mm in diameter and with maximum particle size between 100 and 200 mm.",mds,True,findable,0,0,0,0,0,2020-01-23T13:16:04.000Z,2020-01-23T13:16:04.000Z,cern.zenodo,cern,"rockfill, large triaxial tests, particle crushing, shear strength, secant stiffness","[{'subject': 'rockfill, large triaxial tests, particle crushing, shear strength, secant stiffness'}]",,
-10.18709/perscido.2019.04.ds242,"F-TRACT, ATLAS April 2019",PerSciDo,2019,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Connectivity probability as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 315 patients, in the MarsAtlas, HCP-MMP1 and Lausanne2008 (resolutions 60, 125, 250) parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, integral, duration and the velocity estimated from the onset latency and the fibers distance between the parcels.",fabrica,True,findable,0,0,0,5,0,2019-04-17T16:36:42.000Z,2019-04-17T16:36:42.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['150 MB'],['tsv- mat']
-10.26302/sshade/experiment_soc_20181115_003,"Fe K edge XAS HERFD (Kbeta1,3) and XES of synthetic HÃ¤gg-carbide Fe5C2 at ambient conditions",SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:39:27.000Z,2019-12-05T13:39:27.000Z,inist.sshade,mgeg,"solid,commercial,homopolymer,Cellulose,laboratory,non-oxide ceramic,Fe5C2,oxide-hydroxide,Fe3O4,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'homopolymer'}, {'subject': 'Cellulose'}, {'subject': 'laboratory'}, {'subject': 'non-oxide ceramic'}, {'subject': 'Fe5C2'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Fe3O4'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['3 spectra'],['ASCII']
-10.7914/2abe-6t27,Vuache_Annecy2024,International Federation of Digital Seismograph Networks,2024,,Dataset,,100 Nodes  + 10 broadbands grid for vuache fault tomography,api,True,findable,0,0,0,0,0,2024-01-17T18:45:28.000Z,2024-01-17T18:45:28.000Z,iris.iris,iris,,,['650000 MB'],['SEED data']
-10.18709/perscido.2023.07.ds397,The Tour Perret LoRaWAN 2G4 frames dataset,PerSCiDO,2023,,Dataset,,"The dataset contains the log files of 1193638 frames sent by A LoRa 2.4 GHz endpoint installed on the top of Tour Perret in Grenoble, France. The goal of this dataset is the long-time study of performance and Wifi coexistence of LoRa 2.4 GHz communications in an urban context.",api,True,findable,0,0,0,0,0,2023-07-12T08:01:20.000Z,2023-07-12T08:01:20.000Z,inist.persyval,vcob,"Information Technology,Computer Science","[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}, {'subject': 'Computer Science', 'subjectScheme': 'http://www.radar-projekt.org/display/Computer_Science'}]",['100 Mo'],['JSON']
-10.5281/zenodo.5570297,Seasonal trajectories of plant-pollinator networks differ along an urbanization gradient - Data and code,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset and code used in the article ""Seasonal trajectories of plant-pollinator networks differ along an urbanization gradient"".",mds,True,findable,0,0,0,0,0,2021-10-14T15:59:49.000Z,2021-10-14T15:59:50.000Z,cern.zenodo,cern,"network,urbanization,diversity,plant-pollinator interactions,temporal variability,spatial variability","[{'subject': 'network'}, {'subject': 'urbanization'}, {'subject': 'diversity'}, {'subject': 'plant-pollinator interactions'}, {'subject': 'temporal variability'}, {'subject': 'spatial variability'}]",,
-10.17178/emaa_para-(15n)h2d_rotation_e7374da5,Rotation excitation of para-[15N]H2D by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",56 rotation energy levels / 261 radiative transitions / 1540 collisional transitions for para-H2 (13 temperatures in the range 5-300K) / 1540 collisional transitions for ortho-H2 (13 temperatures in the range 5-300K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:55.000Z,2021-11-18T13:35:55.000Z,inist.osug,jbru,"target para-[15N]H2D,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-[15N]H2D', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.18709/mp70-ey27,Benchmark MODECOGeL,PerSciDo,2019,en,Dataset,,A global sensitivity analysis approach for marine biogeochemical modeling,fabrica,True,findable,0,0,0,0,0,2019-10-18T12:34:34.000Z,2019-10-18T12:34:34.000Z,inist.persyval,vcob,"Computer Science,Mathematics,FOS: Mathematics,FOS: Mathematics,Biochemistry","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Mathematics'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Mathematics', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'lang': 'en', 'subject': 'Biochemistry'}]",['6.1 GB'],['zip']
-10.18709/perscido.2018.07.ds225,Physical and morphological parameters of two Antarctic polar sites : Dome C and Lock In,PerSciDo,2018,en,Dataset,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"This dataset contains all parameters measured or determined in Burr, A., Ballot, C., Lhuissier, P., Martinerie, P., Martin, C. L., and Philip, A.: Pore morphology of polar firn around closure revealed by X-ray tomography, The Cryosphere Discuss, 2018. It contains for both Dome C and Lock In sites (Antarctic plateau) various parameters of the pores embedded in firn, and were obtained by X-ray tomography : the closed porosity ratio, connectivity index, specific surface area, surface-to-volume ratio, but also other parameters related to the pore structure. In particular, the connectivity index was used to predict the close-off depth and density.",api,True,findable,0,0,0,1,0,2018-07-10T12:00:37.000Z,2018-07-10T12:00:37.000Z,inist.persyval,vcob,"Materials Science,Glaciology","[{'lang': 'en', 'subject': 'Materials Science'}, {'lang': 'en', 'subject': 'Glaciology'}]",['5 kB'],['csv']
-10.5281/zenodo.4646678,Glacier Clusters identification across Chilean Andes using Topo-Climatic variables: DATA,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",These data correspond to the information published in Glacier Clusters identification across Chilean Andes using Topo-Climatic variables 10.5354/0719-5370.2020.59009 https://investigacionesgeograficas.uchile.cl/index.php/IG/article/view/59009 https://www.researchgate.net/publication/348049084_Glacier_Clusters_identification_across_Chilean_Andes_using_Topo-Climatic_variables,mds,True,findable,0,0,0,0,0,2021-03-30T07:28:43.000Z,2021-03-30T07:28:44.000Z,cern.zenodo,cern,"Chilean Andes, climatology, glacier clusters, topography","[{'subject': 'Chilean Andes, climatology, glacier clusters, topography'}]",,
-10.5281/zenodo.5237279,English DBnary archive in original Lemon format,Zenodo,2021,en,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from English language edition, ranging from 31st August 2012 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-23T21:01:11.000Z,2021-08-23T21:01:12.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.6084/m9.figshare.12270182,Additional file 5 of One-year survival in acute stroke patients requiring mechanical ventilation: a multicenter cohort study,figshare,2020,,Text,Creative Commons Attribution 4.0 International,"Additional file 5. Stroke type, ICU admission Glasgow Coma Score and 1-year survival rates, according to inclusion period.",mds,True,findable,0,0,33,0,0,2020-05-08T04:08:12.000Z,2020-05-08T04:08:14.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['77613 Bytes'],
-10.5061/dryad.wh70rxwnf,Simulation of sheared granular layers activated by fluid pressurization,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Fluid pressurization of critically stressed sheared zones can trigger slip mechanisms at play in many geological rupture processes, including earthquakes or landslides. The increasing fluid pressure reduces the effective stress, giving possibility to the shear zone to reactivate. Nonetheless, the mechanisms that dictate the mode of slip, from aseismic steady creep to seismic dynamic rupture, remain poorly understood. By using discrete element modeling, we simulate pore-pressure-step creep test experiments on a sheared granular layer under a sub-critical stress state. The goal is to investigate the micromechanical processes at stake during fluid induced reactivation. The global simulated response is consistent with both laboratory and in situ experiments. In particular, the progressive increase of pore pressure promotes slow steady slip at sub-critical stress states (creep), and fast accelerated dynamic slip once the critical strength is overcome (rupture). The analyses of both global and local quantities show that these two emergent slip behaviors correlate to characteristic deformation modes: diffuse deformation during creep, and highly localized deformation during rupture. Our results suggest that the fabric of pressurized shear zones controls their emergent slip behavior. In particular, rupture results from grain rotations initiating from overpressure induced unlocking of interparticle contacts mostly located within the shear band, which, as a consequence, acts as a roller bearing for the surrounding bulk.",mds,True,findable,148,9,0,1,0,2021-05-28T18:22:24.000Z,2021-05-28T18:22:26.000Z,dryad.dryad,dryad,"FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences","[{'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['11239505 bytes'],
-10.26302/sshade/experiment_bms_20150101_001,VUV absorbance spectra between 10 and 120 K of amorphous CH3CN deposited at 10 K,SSHADE/ACID (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",VUV absorbance spectra between 10 and 120 K of amorphous CH3CN deposited at 10 K,mds,True,findable,0,0,0,0,0,2021-03-01T20:12:12.000Z,2021-03-01T20:12:14.000Z,inist.sshade,mgeg,"laboratory,organic molecular solid,amorphous CH3CN ice,laboratory measurement,transmission,macroscopic,VUV,Vacuum Ultraviolet,absorbance","[{'subject': 'laboratory'}, {'subject': 'organic molecular solid'}, {'subject': 'amorphous CH3CN ice'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'VUV'}, {'subject': 'Vacuum Ultraviolet'}, {'subject': 'absorbance'}]",['4 spectra'],['ASCII']
-10.17178/amma-catch.cl.gwatwell_o,"Groundwater dataset (water table level), over the upper Oueme watershed (14 000 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",1999,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of charge-discharge processes of the saprolith groundwater on the Donga catchment. Contibution to the water balance of the Donga catchment Electric conductivity is an integrative measurement of the groundwater chemical composition. This parameter is used to define the groundwater pole in hydrograph separations.,mds,True,findable,0,0,1,0,0,2018-03-16T15:37:09.000Z,2018-03-16T15:37:10.000Z,inist.osug,jbru,"Aquifer, recharge, groundwater,Sudanian climate,Water Table","[{'subject': 'Aquifer, recharge, groundwater', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Water Table', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5061/dryad.2v1m1fj,"Data from: Differences in the fungal communities nursed by two genetic groups of the alpine cushion plant, Silene acaulis",Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"Foundation plants shape the composition of local biotic communities and abiotic environments, but the impact of a plantâ€™s intraspecific variations on these processes is poorly understood. We examined these links in the alpine cushion moss campion (Silene acaulis) on two neighboring mountain ranges in the French Alps. Genotyping of cushion plants revealed two genetic clusters matching known subspecies. The exscapa subspecies was found on both limestone and granite while the longiscapa one was only found on limestone. Even on similar limestone bedrock, cushion soils from the two S. acaulis subspecies deeply differed in their impact on soil abiotic conditions. They further strikingly differed from each other and from the surrounding bare soils in fungal community composition. Plant genotype variations accounted for a large part of the fungal composition variability in cushion soils, even when considering geography or soil chemistry, and particularly for the dominant molecular operational taxonomic units (MOTUs). Both saprophytic and biotrophic fungal taxa were related to the MOTUs recurrently associated with a single plant genetic cluster. Moreover, the putative phytopathogens were abundant, and within the same genus (Cladosporium) or species (Pyrenopeziza brassicae), MOTUs showing specificity for each plant subspecies were found. Our study highlights the combined influences of bedrock and plant genotype on fungal recruitment into cushion soils and suggests the coexistence of two mechanisms, an indirect selection resulting from the colonization of an engineered soil by free-living saprobes, and a direct selection resulting from direct plant-fungi interactions.",mds,True,findable,301,36,1,1,0,2018-11-23T13:20:20.000Z,2018-11-23T13:20:21.000Z,dryad.dryad,dryad,"Fungal community,nurse effect,Silene acaulis,soil ecosystem engineering,Pyrenopeziza brassicae,Holocene,community genetics","[{'subject': 'Fungal community'}, {'subject': 'nurse effect'}, {'subject': 'Silene acaulis'}, {'subject': 'soil ecosystem engineering'}, {'subject': 'Pyrenopeziza brassicae'}, {'subject': 'Holocene'}, {'subject': 'community genetics'}]",['12290810 bytes'],
-10.5281/zenodo.6806404,pete-d-akers/scadi-d15N-SMB: SCADI nitrate and surface mass balance analysis,Zenodo,2022,en,Software,Open Access,Release v1.1. This version contains the complete R code for the SCADI project and associated publications as of 07 July 2022. Changes from v1.0 is removal of one plotted supplemental figure that was removed from linked publication.,mds,True,findable,0,0,0,1,0,2022-07-07T10:41:49.000Z,2022-07-07T10:41:49.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.21285665,Additional file 3 of Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screening,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 3. A document containing supplementary Figures 1-23 including the corresponding legends.,mds,True,findable,0,0,0,0,0,2022-10-06T07:36:18.000Z,2022-10-06T07:36:18.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Pharmacology,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,80699 Information Systems not elsewhere classified,FOS: Computer and information sciences,19999 Mathematical Sciences not elsewhere classified,FOS: Mathematics,Cancer","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '80699 Information Systems not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '19999 Mathematical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}]",['3843262 Bytes'],
-10.26302/sshade/experiment_ml_20171219_004,Zr K edge XAS fluorescence of synthetic baddeleyite ZrO2 at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:56:56.000Z,2019-12-05T13:56:57.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,oxide-hydroxide,Synthetic baddeleyite,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Synthetic baddeleyite'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.5833771,"PlÃ©iades co- and post-eruption survey in Cumbre Vieja volcano, La Palma, Spain",Zenodo,2022,en,Dataset,"Creative Commons Attribution Non Commercial 4.0 International,Open Access","<strong>Introduction</strong>: This repository consists of a series of topographic surfaces of the Cumbre Vieja volcano (La Palma, Spain), presented as a series of Digital Elevation Models (DEMs) obtained from multiple PlÃ©iades stereoscopic surveys acquired from the 22<sup>nd</sup> of September 2021 until the 14<sup>th</sup> of January 2022. We also present a series of grids showing the difference of elevation between the pre-eruption surface and the co- and post-eruption surface, which reveal the lava thickness of the eruption. This was used to calculate the lava volume and effusion rate or Time Average Discharge Rate (TADR) at the time of the PlÃ©iades surveys. <strong>Data</strong>: 1 â€“ PlÃ©iades stereo images: A pre-eruption PlÃ©iades stereopair was collected from 2013. A total of ten stereopairs were collected between the 23<sup>th</sup> of September 2021 and 2<sup>nd</sup> of October 2021 as part of the CIEST<sup>2</sup> initiative (https://www.poleterresolide.fr/ciest-2-nouvelle-generation-2/). Four additional pairs were acquired between the 11<sup>th</sup> of December 2021 and the 14<sup>th</sup> of January 2022 as part of the Dinamis initiative (https://dinamis.data-terra.org/). However, only some of these stereopairs were acquired with sufficiently large cloud-free areas around the eruption site. The following PlÃ©iades stereo images were processed and are presented in this repository: Date Sensor IDs 2013-06-30, 12h02m PHR1B 5944045101 &amp; 5944046101 2021-09-26, 11h58m PHR1B 5962414101 &amp; 5962415101 2021-10-02, 12h02m PHR1B 5988066101 &amp; 5988067101 2022-01-01, 12h02m PHR1A 6122469101 &amp; 6122470101 2022-01-14, 12h02m PHR1B 6135055101 &amp; 6135057101 Table 1: Date, sensor and image ID of the PlÃ©iades stereoimages used in this repository. 2 â€“ Lidar pre-eruption surface: A lidar survey acquired in 2016 by the Spanish Mapping Agency (IGN, Spain) was downloaded through the portal: http://centrodedescargas.cnig.es/CentroDescargas/catalogo.do?Serie=LIDAR#. Specifically, we used the Digital Surface Model (DSM) product, available in 2x2 m Ground Sampling Distance (GSD). This means that trees and human structures were removed based using classification of the multiple returns of the lidar pulses. The coordinate reference system is REGCAN (UTM zone 28N, EPSG: 32628), and the heights are orthometric, using the height reference system REDNAP, built upon the geoid EGM08. Using the REDNAP geoid model, we converted the heights to meters above ellipsoid (WGS84), since the PlÃ©iades data is acquired with satellite attitudes referred to the ellipsoid WGS84. <strong>Methods</strong>: The PlÃ©iades stereoimages were processed using the Ames StereoPipeline (ASP, Shean et al., 2016, see ASP branch in repository), yielding a DEM in 2x2m GSD and an orthoimage in 0.5x0.5m GSD. The processing was done using as only input the stereoimages and their orientation information, as Rational Polynomial Coefficients (RPCs). The <em>parallel_stereo </em>routine performs all the steps needed in the correlation of the stereoimages, yielding a pointcloud which is then interpolated using the routine <em>point2dem</em>. Besides default parameters, the <em>parallel_stereo</em> parameters used for creation of the DEMs were the standard parameters, plus the following ones: <em>--corr-tile-size 2048 --sgm-collar-size 256 --corr-seed-mode 3 --corr-max-levels 2 --corr-timeout 900 --cost-mode 3 --subpixel-mode 9 --corr-kernel 7 7 --subpixel-kernel 15 15</em> Once the DEM was created, DEM co-registration was applying in order to align and minimize positional biases between the pre-eruption DEM and the PlÃ©iades DEMs. We followed the co-registration method of Nuth &amp; KÃ¤Ã¤b (2011), implemented by David Sheanâ€™s co-registration routines (https://github.com/dshean/demcoreg, Shean et al., 2016). The co-registration involved a horizontal and vertical shift of the PlÃ©iades DEMs, as well as a planar tilt correction. The horizontal offset obtained from the DEM co-registration was also applied to the PlÃ©iades orthoimages. Lava outlines were manually digitized from the co-registered PlÃ©iades orthoimages, excluding kipukas and major building constructions which were not covered by the lavas. The lava outlines are available as GeoPackages in the â€œGPKGâ€ branch of the repository. Lava volume calculations were done using the average lava thickness, multiplied by the area covered by the lavas. The uncertainty in volume was assumed to be the Normalized Mean Absolute Deviation (NMAD, HÃ¶hle and HÃ¶hle, 2009), multiplied by the lava area. The TADR was calculated as the total volume divided by the time, in seconds, between the start of the eruption, defined as 2021-09-19 11:58:00 local time, and the acquisition of the PlÃ©iades images. For the total TADR, we used the volume extracted from the PlÃ©iades images from the 1<sup>st</sup> of January 2022, divided by the observed time of beginning and end of the eruption, defined as 2021-12-13 22:21:00, local time. The TADR values shown in this repository do not account for submarine lavas nor tephra deposits. In addition, another set of DEMs were produced automatically as soon as the images were made available by the on-demand processing service DSM-OPT provided by ForM@Ter (https://en.poleterresolide.fr/on-demand-processing/#/mns). This processing is based on Micmac (D. MichÃ©a and J.-P. Malet / EOST; E. Pointal, IPGP, Rupnik, 2017). The DEMs produced correspond to the file created automatically â€œA2_dsm_denoised.tifâ€. They were obtained in 1x1 m GSD, and they were cropped over the area of interest. These DEMs have not been co-registered. These data are available in the â€œMMâ€ branch in the repository. <strong>Results: Lava area, volumes and effusion rate:</strong> Date Lava Area (km2) Lava thickness (m) Lava volume (10e+6 m3) TADR (m3 s-1) 2021-09-26, 11h58m 2.6 11.4Â±1.1 29.8Â±2.8 49.2Â±4.7 2021-10-02, 12h02m 4.3 10.0Â±1.4 43.0Â±6.1 38.2Â±5.4 2022-01-01, 12h02m 12.25 16.6Â±1.1 203.3Â±13.9 27.5Â±1.9 Table 2: results of lava area, thickness, lava volume and TADR since the start of the eruption. <strong>Repository structure:</strong> zenodo_lapalma/<br> â”œâ”€â”€ ASP<br> â”‚ â”œâ”€â”€ 20130630_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif<br> â”‚ â”œâ”€â”€ 20210926_1158_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif<br> â”‚ â”œâ”€â”€ 20210926_1158_lapalma_PL_2x2m_UTM28N_thickness.tif<br> â”‚ â”œâ”€â”€ 20211002_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif<br> â”‚ â”œâ”€â”€ 20211002_1202_lapalma_PL_2x2m_UTM28N_thickness.tif<br> â”‚ â”œâ”€â”€ 20220101_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif<br> â”‚ â”œâ”€â”€ 20220101_1202_lapalma_PL_2x2m_UTM28N_thickness.tif<br> â”‚ â”œâ”€â”€ 20220114_1202_lapalma_PL_2x2m_UTM28N_ASP_DEM.tif<br> â”‚ â””â”€â”€ 20220114_1202_lapalma_PL_2x2m_UTM28N_thickness.tif<br> â”œâ”€â”€ GPKG<br> â”‚ â”œâ”€â”€ 20210925_1202_lapalma_PL_UTM28N_outline.gpkg<br> â”‚ â”œâ”€â”€ 20211002_1202_lapalma_PL_UTM28N_outline.gpkg<br> â”‚ â””â”€â”€ 20220101_1202_lapalma_PL_UTM28N_outline.gpkg<br> â””â”€â”€ MM<br> â”œâ”€â”€ 20130630_1202_PL_1x1m_UTM28N_MM_DEM.tif<br> â”œâ”€â”€ 20210926_1158_PL_1x1m_UTM28N_MM_DEM.tif<br> â”œâ”€â”€ 20211002_1230_PL_1x1m_UTM28N_MM_DEM.tif<br> â”œâ”€â”€ 20220101_1202_PL_1x1m_UTM28N_MM_DEM.tif<br> â””â”€â”€ 20220114_1202_PL_1x1m_UTM28N_MM_DEM.tif <strong>Acknowledgements</strong>: PlÃ©iades images were provided under the CIESTÂ² initiative (CIEST2 is part of ForM@Ter (https://en.poleterresolide.fr/ ) and supported by ISDeform National Service of Observation) for the reference image acquired in 2013 and from the 23<sup>rd</sup> of September to the 2<sup>nd</sup> of October 2021, and through the Dinamis program (CNES, France) from the 12<sup>th</sup> of December 2021 to the 14<sup>th</sup> of January 2022 (image PlÃ©iadesÂ©CNES2013,Â©CNES2021,Â©CNES2022, distribution AIRBUS DS) <strong>Dataset Attribution</strong> This dataset is licensed under a Creative Commons CC BY-NC 4.0 International License (Attribution-NonCommercial).<br> Attribution required for copies and derivative works: The underlying dataset from which this work has been derived includes Pleiades material Â©CNES (2013,2021,2022), distributed by AIRBUS DS, and data provided by the Spanish Mapping Agency (IGN, Spain), all rights reserved. <strong>Dataset Citation</strong> Belart and Pinel (2022). â€œPlÃ©iades co- and post-eruption survey in Cumbre Vieja volcano, La Palma, Spainâ€. Dataset distributed on Zenodo: 10.5281/zenodo.5833771 <strong>References:</strong> HÃ¶hle, J. and HÃ¶hle, M.: Accuracy assessment of digital elevation models by means of robust statistical methods, ISPRS J. Photogramm. Remote Sens., 64, 398â€“406, https://doi.org/10.1016/j.isprsjprs.2009.02.003, 2009. Nuth, C. and KÃ¤Ã¤b, A.: Co-registration and bias corrections of satellite elevation datasets for quantifying glacier thickness change, The Cryosphere, 5, 271â€“290, https://doi.org/10.5194/tc-5-271-2011, 2011. Rupnik, E., Daakir, M., &amp; Deseilligny, M. P.: MicMac â€“ a free, open-source solution for photogrammetry. Open Geospatial Data, Software and Standards, 2(1), 1-9, 2017. Shean, D. E., Alexandrov, O., Moratto, Z. M., Smith, B. E., Joughin, I. R., Porter, C., and Morin, P.: An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery, ISPRS J. Photogramm. Remote Sens., 116, 101â€“117, https://doi.org/10.1016/j.isprsjprs.2016.03.012, 2016.",mds,True,findable,0,0,0,0,0,2022-02-08T08:33:25.000Z,2022-02-08T08:33:26.000Z,cern.zenodo,cern,"PlÃ©iades, DEM, lava thickness","[{'subject': 'PlÃ©iades, DEM, lava thickness'}]",,
-10.25384/sage.c.6377642,Validation of a screening algorithm for hepatic fibrosis by Doppler ultrasound and elastography in a general population,SAGE Journals,2023,,Collection,Creative Commons Attribution 4.0 International,"BackgroundEarly detection can prevent the initial stages of fibrosis from progressing to cirrhosis.PurposeTo evaluate an algorithm combining three echographic indicators and elastographic measurements to screen for hepatic fibrosis in an unselected population.Material and MethodsFrom May 2017 to June 2018, all patients with no history and no known chronic liver disease who were referred for an ultrasound (US) were prospectively included in eight hospitals. The indicators being sought were liver surface irregularity, demodulation of hepatic veins, and spleen length &gt;110 mm. Patients presenting at least one of these underwent elastography measurements with virtual touch quantification (VTQ) or supersonic shear imaging (SSI). If elastography was positive, patients were referred to hepatologist for fibrosis evaluation. Reference standard was obtained by FibroMeter<sup>VCTE</sup> or biopsy. A FibroMeter<sup>VCTE</sup> result &gt;0.384 indicated a â€œnecessary referralâ€ to a hepatologist.ResultsOf the 1501 patients included, 504 (33.6%) were positive for at least one US indicator. All of them underwent US elastography, with 85 being positive. Of the patients, 58 (3.6%) had a consultation with a liver specialist: 21 had positive FibroMeter<sup>VCTE</sup> and nine had an indication of biopsy for suspicion of fibrosis. This screening algorithm made it possible to diagnose 1.6% of patients in our population with unknown fibrosis. Of the patients, 50% referred to the liver specialist were â€œnecessary referrals.â€ConclusionOur study suggests that three simple US indicators with no systematic elastographic measurement could be applied in day-to-day practice to look for hepatic fibrosis in an unsuspected population allowing relevant referrals to a hepatologist.",mds,True,findable,0,0,0,0,0,2023-01-10T01:14:28.000Z,2023-01-10T01:14:28.000Z,figshare.sage,sage,"110320 Radiology and Organ Imaging,FOS: Clinical medicine","[{'subject': '110320 Radiology and Organ Imaging', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.6084/m9.figshare.23575372,Additional file 5 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authorsâ€™ original file for figure 4,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:51.000Z,2023-06-25T03:11:51.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['24064 Bytes'],
-10.26302/sshade/experiment_bs_20201114_017,"Near-infrared reflectance spectra at low temperature (300-80K) of PE and AFE Ammonium biphosphate [(NH4)H2PO4] powders with three grain size ranges (32-80, 80-125 and 125-150Âµm)",SSHADE/CSS (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Near-infrared reflectance spectra at low temperature (290-80K) of Ammonium biphosphate powder (PE &amp; AFE) [(NH4)H2PO4] with 32-80 Âµm grain size and PE phase at room temperature (300K) with 80-125Âµm and 125-150Âµm grain sizes,mds,True,findable,0,0,0,0,0,2022-04-23T08:14:18.000Z,2022-04-23T08:14:19.000Z,inist.sshade,mgeg,"commercial,phosphate,Ammonium biphosphate (phase PE),Ammonium biphosphate (phase AFE),laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'commercial'}, {'subject': 'phosphate'}, {'subject': 'Ammonium biphosphate (phase PE)'}, {'subject': 'Ammonium biphosphate (phase AFE)'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['29 spectra'],['ASCII']
-10.6084/m9.figshare.12270176,Additional file 4 of One-year survival in acute stroke patients requiring mechanical ventilation: a multicenter cohort study,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 4. Kaplanâ€“Meierâ€™s survival estimates of ICU survivors according to the mRS at ICU discharge.,mds,True,findable,0,0,33,0,0,2020-05-08T04:08:12.000Z,2020-05-08T04:08:13.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['18254 Bytes'],
-10.34847/nkl.a5ae8y33,"En remontant la Romanche. ItinÃ©raire de Mathieu Grenier, un agent du Symbhi, le 5 janvier 2021, Les Clavaux",NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,Other,,"ItinÃ©raire rÃ©alisÃ© dans le cadre du projet de recherche-crÃ©ation Les Ondes de lâ€™Eau : MÃ©moires des lieux et du travail dans la vallÃ©e de la Romanche. AAU-CRESSON (Laure Brayer, direction scientifique) - Regards des Lieux (Laure NicoladzÃ©, direction culturelle).    
-
-AprÃ¨s plusieurs annulations suite aux confinements, le RDV est enfin fixÃ©. En empruntant le chemin rÃ©alisÃ© par le Syndicat Mixte des Bassins Hydrauliques de lâ€™IsÃ¨re, de la centrale des Clavaux jusquâ€™Ã  la passerelle himalayenne, Mathieu Grenier nous prÃ©sente les stratÃ©gies urbaines Ã  lâ€™origine du projet. Aux dÃ©tours de la discussion, il Ã©voque sa perception du territoire.",api,True,findable,0,0,0,0,0,2022-06-27T12:26:14.000Z,2022-06-27T12:26:14.000Z,inist.humanum,jbru,"Histoires de vie,paysage de l'eau,histoire orale,Marche,Sens et sensations,MÃ©moires des lieux,chemin,piÃ©ton,passerrelle,mÃ©thode des itinÃ©raires,perception sensible,Romanche, VallÃ©e de la (France),Ã©nergie hydraulique,amÃ©nagement du territoire,patrimoine industriel,tourisme,gestion du risque,Romanche, VallÃ©e basse de la (France),matÃ©riaux de terrain Ã©ditorialisÃ©s,roman-photo,itinÃ©raire","[{'lang': 'fr', 'subject': 'Histoires de vie'}, {'lang': 'fr', 'subject': ""paysage de l'eau""}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'Marche'}, {'lang': 'fr', 'subject': 'Sens et sensations'}, {'lang': 'fr', 'subject': 'MÃ©moires des lieux'}, {'lang': 'fr', 'subject': 'chemin'}, {'lang': 'fr', 'subject': 'piÃ©ton'}, {'lang': 'fr', 'subject': 'passerrelle'}, {'lang': 'fr', 'subject': 'mÃ©thode des itinÃ©raires'}, {'lang': 'fr', 'subject': 'perception sensible'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e de la (France)'}, {'lang': 'fr', 'subject': 'Ã©nergie hydraulique'}, {'lang': 'fr', 'subject': 'amÃ©nagement du territoire'}, {'lang': 'fr', 'subject': 'patrimoine industriel'}, {'lang': 'fr', 'subject': 'tourisme'}, {'lang': 'fr', 'subject': 'gestion du risque'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e basse de la (France)'}, {'lang': 'fr', 'subject': 'matÃ©riaux de terrain Ã©ditorialisÃ©s'}, {'lang': 'fr', 'subject': 'roman-photo'}, {'lang': 'fr', 'subject': 'itinÃ©raire'}]","['32026948 Bytes', '1812592 Bytes', '118580 Bytes', '465262 Bytes', '1854736 Bytes', '2129438 Bytes', '2302607 Bytes', '2156906 Bytes', '1940530 Bytes', '1753696 Bytes', '1816563 Bytes', '1909197 Bytes', '1803205 Bytes', '1939709 Bytes', '1705826 Bytes', '2199505 Bytes', '1916736 Bytes', '1739695 Bytes', '2110370 Bytes', '1677783 Bytes', '2002296 Bytes', '1867477 Bytes', '1803582 Bytes', '1754599 Bytes', '2042487 Bytes', '1819595 Bytes', '955027 Bytes']","['application/pdf', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg', 'image/jpeg']"
-10.17178/ohmcv.dsd.vb2.11-14.1,"DSD network, Villeneuve-de-Berg-2",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:23.000Z,2017-03-10T17:09:24.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Amount,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.57745/7rfnnp,"Replication data for the publication ""Knowledge coproduction to improve assessments of natureâ€™s contributions to people""",Recherche Data Gouv,2023,,Dataset,,"This repository contains the auxiliary data to reproduce the results of the publication: Vallet et al., ""Knowledge coproduction to improve assessments of natureâ€™s contributions to people"" (https://doi.org/10.1111/cobi.14182). The code can be found here: https://gitlab.dsi.universite-paris-saclay.fr/agata/medicinal_plants/medicinal_plants_coproduction. Please see the README document for a description of the files.",mds,True,findable,68,6,0,0,0,2023-08-03T16:13:00.000Z,2023-10-26T14:20:08.000Z,rdg.prod,rdg,,,,
-10.6084/m9.figshare.12991756,Additional file 2 of Association between Neu5Gc carbohydrate and serum antibodies against it provides the molecular link to cancer: French NutriNet-SantÃ© study,figshare,2020,,Dataset,Creative Commons Attribution 4.0 International,Additional file 2: Supplementary data file S1. National world meat and cancer.,mds,True,findable,0,0,0,1,0,2020-09-23T03:27:38.000Z,2020-09-23T03:27:44.000Z,figshare.ars,otjm,"Biochemistry,Neuroscience,Physiology,FOS: Biological sciences,Biotechnology,Chemical Sciences not elsewhere classified,Ecology,Immunology,FOS: Clinical medicine,Mathematical Sciences not elsewhere classified,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Biochemistry'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['29593 Bytes'],
-10.26302/sshade/experiment_zed_20230524_01,Vis-NIR reflectance spectra of 14 stratospheric IDPs particles,SSHADE/DAYSY (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Vis-NIR spectroscopy of 14 stratospheric IDPs in reflectance.,mds,True,findable,0,0,0,0,0,2023-06-22T10:07:46.000Z,2023-06-22T10:07:47.000Z,inist.sshade,mgeg,"laboratory measurement,bidirectional reflection,microscopy,Vis,Visible,NIR,Near-Infrared,normalized reflectance,Olivine,Pyroxene,extraterrestrial,nesosilicate,inosilicate,chondritic,None","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'microscopy', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'normalized reflectance', 'subjectScheme': 'variables'}, {'subject': 'Olivine', 'subjectScheme': 'name'}, {'subject': 'Pyroxene', 'subjectScheme': 'name'}, {'subject': 'extraterrestrial', 'subjectScheme': 'family'}, {'subject': 'nesosilicate', 'subjectScheme': 'compound type'}, {'subject': 'inosilicate', 'subjectScheme': 'compound type'}, {'subject': 'chondritic', 'subjectScheme': 'meteorite group'}, {'subject': 'None', 'subjectScheme': 'meteorite class'}]",['14 spectra'],['ASCII']
-10.6084/m9.figshare.c.6272373,Digitally-supported patient-centered asynchronous outpatient follow-up in rheumatoid arthritis - an explorative qualitative study,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract Objective A steadily increasing demand and decreasing number of rheumatologists push current rheumatology care to its limits. Long travel times and poor accessibility of rheumatologists present particular challenges for patients. Need-adapted, digitally supported, patient-centered and flexible models of care could contribute to maintaining high-quality patient care. This qualitative study was embedded in a randomized controlled trial (TELERA) investigating a new model of care consisting of the use of a medical app for ePRO (electronic patient-reported outcomes), a self-administered CRP (C-reactive protein) test, and joint self-examination in rheumatoid arthritis (RA) patients. The qualitative study aimed to explore experiences of RA patients and rheumatology staff regarding (1) current care and (2) the new care model. Methods The study included qualitative interviews with RA patients (n = 15), a focus group with patient representatives (n = 1), rheumatology nurses (n = 2), ambulatory rheumatologists (n = 2) and hospital-based rheumatologists (n = 3). Data was analyzed by qualitative content analysis. Results Participants described current follow-up care as burdensome. Patients in remission have to travel long distances. Despite pre-scheduled visits physicians lack questionnaire results and laboratory results to make informed shared decisions during face-to-face visits. Patients reported that using all study components (medical app for ePRO, self-performed CRP test and joint self-examination) was easy and helped them to better assess their disease condition. Parts of the validated questionnaire used in the trial (routine assessment of patient index data 3; RAPID3) seemed outdated or not clear enough for many patients. Patients wanted to be automatically contacted in case of abnormalities or at least have an app feature to request a call-back or chat. Financial and psychological barriers were identified among rheumatologists preventing them to stop automatically scheduling new appointments for patients in remission. Rheumatology nurses pointed to the potential lack of personal contact, which may limit the holistic care of RA-patients. Conclusion The new care model enables more patient autonomy, allowing patients more control and flexibility at the same time. All components were well accepted and easy to carry out for patients. To ensure success, the model needs to be more responsive and allow seamless integration of education material. Trial registration The study was prospectively registered on 2021/04/09 at the German Registry for Clinical Trials (DRKS00024928).",mds,True,findable,0,0,0,0,0,2022-10-29T03:17:05.000Z,2022-10-29T03:17:05.000Z,figshare.ars,otjm,"Medicine,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Science Policy,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5281/zenodo.10222605,"Spectral albedo and summer ground temperature of herbaceous and shrub tundra vegetation at Bylot Island, Canadian High-Arctic",Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"These data are in support of a preprint:Â 
-Comparing spectral albedo and NDVI of herbaceous and shrub tundra vegetation at Bylot Island, Canadian High-Arctic
-Florent Domine, Maria-Belke-Brea, Ghislain Picard, Laurent Arnaud, and Esther LÃ©vesque
-To be submitted in 2023.Â 
-The spectral albedo of several vegetation assemblages on Bylot Island and in Mala River valley on nearby Baffin Island were recorded between 10 and 18 July 2015. The spectral range covered was 346 to 2400 nm. Surfaces were classified according to the main vegetation types. Classes used are graminoids, moss, Salix arctica, soil, and Salix richardsonii. S. richardsonii is the only truly erect species on Bylot Island. Transmission spectra of radiation through the S. richardsonii canopy were also recorded. S. richardsonii spectra were different depending on the location where they were measured and we present spectra for sites in active parts of an alluvial fan (Salix-G2), an inactive part of an alluvial fan (Salix-D1) and in a mesic area on Mala River Valley (Salix-M). We also present typical relative solar irradiance spectra recorded at Bylot Island during the campaign, under clear and overcast conditions. In conjunction with spectral albedo data, these irradiance spectra allow the calculation of the broadband (BB) albedo of the vegetation types and to compare BB albedo values under identical irradiance conditions.Â  83 spectra were recorded: 39 for S. richardsonii and 44 for low vegetation and soil. 17 transmission spectra under S. richardsonii were recorded. We present here only averages for each vegetation type. We also present averages for all low vegetation types and for all S. richardsonii spectra, to allow the calculation of the radiative impact of erect shrubs at Bylot Island.Â 
-We also present soil temperature data at 15 cm depth for the spots GRASS (mostly Salix Arctica), TUNDRA (Mostly moss), SALIX-D1 (Salix richardsonii) and SALIX-F (Salix richardsonii). SALIX-F is similar to SALIX-G2. The data are during summer 2020.Â 
-The locations of the various spots investigated are:Â 
-Spot name Â Latitude Â Longitude Vegetation types found
-TUNDRA 73.150Â° -80.004Â° Humid and moist polygons with low vegetation dominated by mosses, graminoids, S. arctica and S. herbacea.
-PLAINE 73.167Â° -79.915Â° Low vegetation and bare soil patches caused by cryoturbation (mudboils) with mosses, graminoids and S. arctica.
-GRASS 73.158Â° -79.907Â° Low vegetation between patches of S. richardsonii dominated by S.Â arctica, with litter, mosses, graminoids and occasional bare soil. Â 
-SALIX-D1 73.158Â° -79.907Â° Scattered patches of S. richardsonii <35 cm tall. Understory is mosses, graminoids, litter, S. arctica and bare soil.
-SALIX-M 73.006Â° -80.685Â° Mesic area with patches of S. richardsonii 35 to 40 cm tall. Understory includes moss, graminoids and litter. Between patches: herb tundra with graminoids and mosses. The area is not within an alluvial fan.
-SALIX-G2 73.168Â° -79.812Â° Extended area in an alluvial fan with S. richardsonii >40 cm. Understory includes litter, mosses, graminoids, bare soil, S. arctica and S. reticulata.
-SALIX-F 73.182Â° -79.745Â° Similar to SALIX-G2. Ground temperature is monitored there. No spectral data were recorded at that site. Â 
-Â 
-Â ",api,True,findable,0,0,0,0,0,2023-11-29T16:34:14.000Z,2023-11-29T16:34:14.000Z,cern.zenodo,cern,,,,
-10.17178/amma-catch.cl.rain_gt,"Precipitation dataset (5 minutes rainfall), within the Gourma site (30000 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Documentation of rainfall in sahelian and saharo-sahelian zones. The aim is to characterize the temporal and spatial variability along the North-South gradient within the Gourma meso-scale site. Data will be used in modelling and assimilation activities, as well as for validation of satellite products.",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:13.000Z,2018-03-16T15:37:14.000Z,inist.osug,jbru,"Rainfall, precipitation, tropical convection,Sahelian/Saharan climate,Precipitation Amount (previous 24 hours),Precipitation Amount (previous 5 minutes),Precipitation Amount (previous hour)","[{'subject': 'Rainfall, precipitation, tropical convection', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation Amount (previous 24 hours)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous 5 minutes)', 'subjectScheme': 'var'}, {'subject': 'Precipitation Amount (previous hour)', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.17178/ohmcv.dsd.vb1.12-14.1,"DSD network, Villeneuve-de-Berg-1",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:22.000Z,2017-03-10T17:09:23.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.5281/zenodo.10020955,robertxa/Pecube-Color_coding_Texwrangler: First release,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,Color coding file for Pecube input files in TextWrangler,api,True,findable,0,0,0,0,0,2023-10-19T08:39:59.000Z,2023-10-19T08:39:59.000Z,cern.zenodo,cern,,,,
-10.15778/resif.3c2019,Le Teil P5 post seismic experiment,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2019,en,Other,"Open Access,Creative Commons Attribution 4.0 International","Post seismic intervention following the Teil M5 earthquake (2019-11-11). One station (IRSN, Tricastin) contains the recording of the earthquake. Duration : about 3 months. 4 Centaur (CMG6T) from OCA, 6 Taurus (3 Episensor, 3 CMG40T) and 28 Fairfield nodes from SISMOB, 5 DM24 (CMG40T,CMG5T) from CEREMA 3 CMG6T from IRSN",mds,True,findable,0,0,1,0,0,2021-01-08T14:24:07.000Z,2021-01-11T09:39:39.000Z,inist.resif,vcob,"Le Teil d'ArdÃ¨che Mag 5.2,Le Teil 2019-11-11,Seismicity France,MontÃ©limar,Post seismicity,broadband seismology,dense networks,nodes,Seismicity","[{'subject': ""Le Teil d'ArdÃ¨che Mag 5.2""}, {'subject': 'Le Teil 2019-11-11'}, {'subject': 'Seismicity France'}, {'subject': 'MontÃ©limar'}, {'subject': 'Post seismicity'}, {'subject': 'broadband seismology'}, {'subject': 'dense networks'}, {'subject': 'nodes'}, {'subject': 'Seismicity'}]","['growing, 46 stations, 40 Mb per day per station during 3 mounths']","['Miniseed data', 'stationXML metadata']"
-10.5281/zenodo.3771710,"Companion for ""Measuring Phenology Uncertainty with Large Scale Image Processing""",Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the software and dataset companion for the paper entitled ""Measuring Phenology Uncertainty with Large Scale Image Processing"". Further instructions can be found in the README.org file.",mds,True,findable,0,0,0,0,0,2020-06-12T14:18:08.000Z,2020-06-12T14:18:09.000Z,cern.zenodo,cern,"Phenology analysis,Parallel Workflow,Phenological visualization,Mathematical modeling,Uncertainty Quantification","[{'subject': 'Phenology analysis'}, {'subject': 'Parallel Workflow'}, {'subject': 'Phenological visualization'}, {'subject': 'Mathematical modeling'}, {'subject': 'Uncertainty Quantification'}]",,
-10.5281/zenodo.4603786,Atomic coordinates of the structures of iCOMs adsorbed at the surface of an amorphous ice model,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the atomic coordinates in the MOLDRAW format (.mol files) of the HF-3c optimized structures of iCOMs adsorbed at the surface of a periodic model of an amorphous water icy grain using the CRYSTAL17 computer code. Each file can be easily converted in input for the variety of quantum mechanical programs, like VASP, QE, etc.",mds,True,findable,0,0,0,0,0,2021-03-14T18:22:02.000Z,2021-03-14T18:22:03.000Z,cern.zenodo,cern,"Amorphous ice,HF-3c,Adsorption,iCOMs","[{'subject': 'Amorphous ice'}, {'subject': 'HF-3c'}, {'subject': 'Adsorption'}, {'subject': 'iCOMs'}]",,
-10.17178/cryobsclim.cdp.2018.solarmask,"Col de Porte, Solar Mask",CNRS - OSUG - Meteo France,1998,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019.  The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP  (CRYosphere, an OBServatory of the CLIMate â€“ Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:39.000Z,2018-07-19T07:28:08.000Z,inist.osug,jbru,Solar Mask,"[{'subject': 'Solar Mask', 'subjectScheme': 'main'}]",,['CSV']
-10.15778/resif.xg2019,Svalbard - Vallunden (Icewaveguide) (RESIF - SISMOB_Nodes),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2019,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","An array of 247 geophones was deployed on sea ice, in Van Mijen fjord near Sveagruva (N 77.8828 North - E16.7736), in Svalbard. The array was left to record continuously the ambiant seismic field between February 28th and March 26th 2019. The array is composed of 99 3C stations and 148 1C stations with sampling frequencies of 1000 Hz and 500 Hz, respectively. A subset of 1 day of recording (March 5th) is available for downloading. In this subset, the 3C geophones data have been downsampled at 500 Hz.",mds,True,findable,0,0,0,1,0,2019-09-12T09:29:06.000Z,2019-09-12T09:29:07.000Z,inist.resif,vcob,"Passive seismic acquisitions,Sea ice,Dense Array","[{'subject': 'Passive seismic acquisitions'}, {'subject': 'Sea ice'}, {'subject': 'Dense Array'}]","['247 stations, 900 Gb']","['HDF5 data', 'stationXML metadata']"
-10.26302/sshade/experiment_gs_20170713_006,Ag K edge XAS transmission of synthetic acanthite Ag2S (nanos),SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:14:57.000Z,2019-12-05T13:15:02.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,Synthetic acanthite,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'Synthetic acanthite'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.8144596,"Data for ""Chasing rainbows and ocean glints: Inner working angle constraints for the Habitable Worlds Observatory""",Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Data for the paper on ""Chasing rainbows and ocean glints: Inner working angle constraints for the Habitable Worlds Observatory""",mds,True,findable,0,0,0,0,0,2023-07-13T18:32:59.000Z,2023-07-13T18:33:00.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10587575,Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Here we provide the source data and source code associated with our manuscript (NCOMMS-23-50331-T) entitled ""Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation"" for its forthcoming publication in Nature Communications.
-
-'Source Data.zip' contains the raw data for the main text figures.
-
-'Source Code.zip' contains both the code for automated exhaustive experiment and the code for autonomous closed-loop workflow presented in the manuscript.
-
-'Deep-learning model for voltammogram analysis.zip' contains the deep-learning model file used in the code.",api,True,findable,0,0,0,0,1,2024-02-02T16:24:16.000Z,2024-02-02T16:24:16.000Z,cern.zenodo,cern,"Autonomous electrochemical research,closed-loop workflow,high-throughput experimentation,molecular electrochemistry,cyclic voltammetry,machine learning,Bayesian optimization","[{'subject': 'Autonomous electrochemical research'}, {'subject': 'closed-loop workflow'}, {'subject': 'high-throughput experimentation'}, {'subject': 'molecular electrochemistry'}, {'subject': 'cyclic voltammetry'}, {'subject': 'machine learning'}, {'subject': 'Bayesian optimization'}]",,
-10.5281/zenodo.3403088,Laboratory modeling of gap-leaping and intruding western boundary currents under different climate change scenarios,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Western boundary currents (WBCs), such as, the Kuroshio and the Gulf Stream, are very intense currents flowing along the western boundaries of the oceans.<br>WBCs -and their respective extensions- have an important effect on climate because of their huge heat transports, the corresponding airâ€“sea interactions and the role they play in sustaining the global conveyor belt. It is therefore very relevant to analyze WBC dynamics not only through observations and numerical modelling, but also by means of laboratory experiments; to this respect several rotating tank experiments have been performed in recent years.<br>The new laboratory experiments proposed here for the Hydralab+ 19GAPWEBS project are aimed at analyzing the interactions of a WBC with gaps located along the western coast. Examples of such processes include the Gulf Stream leaping from the Yucatan to Florida and the Kuroshio leaping, and partly penetrating, through the South and East China Seas and through the wider gap separating Taiwan to Japan. In the experiments the WBC is produced by a horizontally unsheared current flowing over a topographic beta slope; along the western lateral boundary a sequence of gaps of different widths simulate the openings present in the above mentioned locations.",mds,True,findable,0,0,0,0,0,2019-09-11T07:23:51.000Z,2019-09-11T07:23:51.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4603782,Atomic coordinates of the structures of iCOMs adsorbed at the surface of a crystalline ice model,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the atomic coordinates in the MOLDRAW format (.mol files) of the B3LYP-D3/A-VTZ* optimized structures of iCOMs adsorbed at the surface of a periodic model of proton-ordered crystalline water icy grain using the CRYSTAL17 computer code. Each file can be easily converted in input for the variety of quantum mechanical programs, like VASP, QE, etc.",mds,True,findable,0,0,0,0,0,2021-03-14T18:13:58.000Z,2021-03-14T18:13:59.000Z,cern.zenodo,cern,"Crystalline ice,B3LYP-D3,Adsorption,Modeling","[{'subject': 'Crystalline ice'}, {'subject': 'B3LYP-D3'}, {'subject': 'Adsorption'}, {'subject': 'Modeling'}]",,
-10.5281/zenodo.7614856,Design and optimization of a Chloride Molten Salt Fast Reactor - dataset,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset used for the figures presented in the paper ""Design and optimization of a Chloride Molten Salt Fast Reactor"" for the ICAPP2023 conference",mds,True,findable,0,0,0,0,0,2023-02-07T15:23:35.000Z,2023-02-07T15:23:36.000Z,cern.zenodo,cern,"U238 capture rates, fertile blanket width, feedbacks, neutron spectrum map, reprocessing rates","[{'subject': 'U238 capture rates, fertile blanket width, feedbacks, neutron spectrum map, reprocessing rates'}]",,
-10.5281/zenodo.6535396,Elmer/Ice repository for 3D Greenland Ice-Sheet initial states,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","initial states of the Greenland Ice-Sheet produced with the Elmer/Ice model. This initial states are obtained using a control inverse method that optimise the basal friction field to minimise the mismatch between model and observed velocities. Results used in N. Maier, F. Gimbert and F. Gillet-Chaulet, Threshold response to surface melt drives large-scale bed weakening in Greenland, submitted to Nature",mds,True,findable,0,0,0,0,0,2022-05-10T12:26:19.000Z,2022-05-10T12:26:20.000Z,cern.zenodo,cern,"Elmer/Ice ice flow model,Greenland ice-sheet,Basal condition","[{'subject': 'Elmer/Ice ice flow model'}, {'subject': 'Greenland ice-sheet'}, {'subject': 'Basal condition'}]",,
-10.25384/sage.c.6567921,Impact of a telerehabilitation programme combined with continuous positive airway pressure on symptoms and cardiometabolic risk factors in obstructive sleep apnea patients,SAGE Journals,2023,,Collection,Creative Commons Attribution 4.0 International,"BackgroundObstructive sleep apnea syndrome is a common sleep-breathing disorder associated with adverse health outcomes including excessive daytime sleepiness, impaired quality of life and is well-established as a cardiovascular risk factor. Continuous positive airway pressure is the reference treatment, but its cardiovascular and metabolic benefits are still debated. Combined interventions aiming at improving patient's lifestyle behaviours are recommended in guidelines management of obstructive sleep apnea syndrome but adherence decreases over time and access to rehabilitation programmes is limited. Telerehabilitation is a promising approach to address these issues, but data are scarce on obstructive sleep apnea syndrome.MethodsThe aim of this study is to assess the potential benefits of a telerehabilitation programme implemented at continuous positive airway pressure initiation, compared to continuous positive airway pressure alone and usual care, on symptoms and cardiometabolic risk factors of obstructive sleep apnea syndrome. This study is a 6-months multicentre randomized, parallel controlled trial during which 180 obese patients with severe obstructive sleep apnea syndrome will be included. We will use a sequential hierarchical criterion for major endpoints including sleepiness, quality of life, nocturnal systolic blood pressure and inflammation biological parameters.Discussionm-Rehab obstructive sleep apnea syndrome is the first multicentre randomized controlled trial to examine the effectiveness of a telerehabilitation lifestyle programme in obstructive sleep apnea syndrome. We hypothesize that a telerehabilitation lifestyle intervention associated with continuous positive airway pressure for 6 months will be more efficient than continuous positive airway pressure alone on symptoms, quality of life and cardiometabolic risk profile. Main secondary outcomes include continuous positive airway pressure adherence, usability and satisfaction with the telerehabilitation platform and medico-economic evaluation.Trial registrationClinicaltrials.gov Identifier: NCT05049928. Registration data: 20 September 2021",mds,True,findable,0,0,0,0,0,2023-04-07T00:07:22.000Z,2023-04-07T00:07:23.000Z,figshare.sage,sage,"111708 Health and Community Services,FOS: Health sciences,Cardiology,110306 Endocrinology,FOS: Clinical medicine,110308 Geriatrics and Gerontology,111099 Nursing not elsewhere classified,111299 Oncology and Carcinogenesis not elsewhere classified,111702 Aged Health Care,111799 Public Health and Health Services not elsewhere classified,99999 Engineering not elsewhere classified,FOS: Other engineering and technologies,Anthropology,FOS: Sociology,200299 Cultural Studies not elsewhere classified,FOS: Other humanities,89999 Information and Computing Sciences not elsewhere classified,FOS: Computer and information sciences,150310 Organisation and Management Theory,FOS: Economics and business,Science Policy,160512 Social Policy,FOS: Political science,Sociology","[{'subject': '111708 Health and Community Services', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cardiology'}, {'subject': '110306 Endocrinology', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '110308 Geriatrics and Gerontology', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111099 Nursing not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111299 Oncology and Carcinogenesis not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111702 Aged Health Care', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '111799 Public Health and Health Services not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '99999 Engineering not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Other engineering and technologies', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Anthropology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '200299 Cultural Studies not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Other humanities', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '89999 Information and Computing Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '150310 Organisation and Management Theory', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Economics and business', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': '160512 Social Policy', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Political science', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}]",,
-10.5061/dryad.mc50c,Data from: Riders in the sky (islands): using a mega-phylogenetic approach to understand plant species distribution and coexistence at the altitudinal limits of angiosperm plant life,Dryad,2017,en,Dataset,Creative Commons Zero v1.0 Universal,"Aim: Plants occurring on high-alpine summits are generally expected to persist due to adaptations to extreme selective forces caused by the harshest climates where angiosperm life is known to thrive. We assessed the relative effects of this strong environmental filter and of other historical and stochastic factors driving plant community structure in very high-alpine conditions. Location: European Alps, Ã‰crins National Park, France. Methods: Using species occurrence data collected from floristic surveys on 15 summits (2,791â€“4,102 m a.s.l.) throughout the Ã‰crins range, along with existing molecular sequence data obtained from GenBank, we used a mega-phylogenetic approach to evaluate the phylogenetic structure of high-alpine plant species assemblages. We used three nested species pools and two null models to address the importance of species-specific and species-neutral processes for driving coexistence. Results: Compared with the entire species pool of the study region, alpine summits exhibited a strong signal of phylogenetic clustering. Restricting statistical sampling to environmentally and historically defined species pools reduced the significance of this pattern. However, we could not reject a model that explicitly incorporates neutral colonization and local extinction in shaping community structure for dominant plant orders. Between summits, phylogenetic turnover was generally lower than expected. Environmental drivers did not explain overall phylogenetic patterns, but we found significant geographical and climatic structure in phylogenetic diversity at finer taxonomic scales. Main conclusions: Although we found evidence for strong phylogenetic clustering within alpine summits, we were not able to reject models of species-neutral processes to explain patterns of floristic diversity. Our results suggest that plant community structure in high-alpine regions can also be shaped by neutral processes, and not through the sole action of environmental selection as traditionally assumed for harsh and stressful environments.",mds,True,findable,357,46,1,1,0,2017-07-26T17:14:59.000Z,2017-07-26T17:15:00.000Z,dryad.dryad,dryad,"Spermatophyta,alpine flora,mega-phylogeny","[{'subject': 'Spermatophyta'}, {'subject': 'alpine flora'}, {'subject': 'mega-phylogeny'}]",['1167890 bytes'],
-10.17178/amma-catch.pa.sw_snf,"Soil dataset (soil moisture and temperature profiles), within the Ferlo site, Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2013,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Documentation of soil water content and soil temperature.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:52.000Z,2021-11-15T12:53:54.000Z,inist.osug,jbru,"Soil Temperature, soil moisture,Sahelian climate,Soil Moisture/Water Content at depth 10 cm (2),Soil Moisture/Water Content at depth 10 cm,Soil Temperature at depth 10 cm,Soil Moisture/Water Content at depth 40 cm,Soil Moisture/Water Content at depth 5 cm (2),Soil Moisture/Water Content at depth 1 m,Soil Temperature at depth 5 cm,Soil Moisture/Water Content at depth 5 cm","[{'subject': 'Soil Temperature, soil moisture', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 10 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 40 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 5 cm (2)', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 1 m', 'subjectScheme': 'var'}, {'subject': 'Soil Temperature at depth 5 cm', 'subjectScheme': 'var'}, {'subject': 'Soil Moisture/Water Content at depth 5 cm', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.5913708,Supplementary data for the publication of Characterization of Emissions in Fab Labs: an Additive Manu-facturing Environment Issue,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Datasets for the publication of the article ""Characterization of Emissions in Fab Labs: an Additive Manufacturing Environment Issue"": - Ultrafine Particles: UFP per Zone and mode; - VOC emissions: VOC per Zone and mode.",mds,True,findable,0,0,0,0,0,2022-01-28T13:07:09.000Z,2022-01-28T13:07:10.000Z,cern.zenodo,cern,,,,
-10.17178/cryobsclim.cdp.2018.metinsitu,"Col de Porte, Hourly meteorological data",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019.  The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP  (CRYosphere, an OBServatory of the CLIMate â€“ Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:35.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"Air Temperature,Specific Humidity,Wind speed,Rainfall rate,Snowfall rate,Incident longwave radiation,Incident shortwave direct radiation,Incident shortwave diffuse radiation,Surface pressure,Nebulosity","[{'subject': 'Air Temperature', 'subjectScheme': 'main'}, {'subject': 'Specific Humidity', 'subjectScheme': 'main'}, {'subject': 'Wind speed', 'subjectScheme': 'main'}, {'subject': 'Rainfall rate', 'subjectScheme': 'main'}, {'subject': 'Snowfall rate', 'subjectScheme': 'main'}, {'subject': 'Incident longwave radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave direct radiation', 'subjectScheme': 'main'}, {'subject': 'Incident shortwave diffuse radiation', 'subjectScheme': 'main'}, {'subject': 'Surface pressure', 'subjectScheme': 'main'}, {'subject': 'Nebulosity', 'subjectScheme': 'main'}]",,['netCDF']
-10.5281/zenodo.5535624,"Seasonal evolution of basal conditions within Russell sector, West Greenland, inverted from satellite observations of surface flow",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","An annual set of model-inferred basal and surface properties of ice flow at Russell Gletcher sector in Western Greenland with half-month temporal resolution. Derived using the Elmer/Ice ice-flow model by inversion of satellite-observed ice surface velocity (10.5281/zenodo.5535532). The details on the data creatoin can be found in 10.5194/tc-15-5675-2021 . Dataset contains 24 independent NetCDF files (one per 2-weeks time step) with:<br> * alpha - inverted be model basal friction coefficient in log10 (log10(MPa m-1 a)<br> * base - basal topography altitude (m)<br> * lithk - ice thickness (m)<br> * orog - surface altitude (m)<br> * strbasemag - magnitude of basal friction tb (MPa)<br> * xvelbase, yvelbase, zvelbase - 3D basal velocity (m/yr)<br> * xvelmean, yvelmean - vertically average mean horizontal velocity (m/yr)<br> * xvelsurf, yvelsurf, zvelsurf - 3D surface velocity (m/yr)<br> * n - effective pressure (MPa) The additional WinterMeanState NetCDF file (inversion from the mean velocity of january, Febriary, Mars) contains the same set of variables (except the effective pressure), and in addition contains the <em>As</em> Weertman sliding coeffitient. The results have been interpolated from the native unstructured model grid to the regular grid used for the observed velocity (10.5281/zenodo.5535624).",mds,True,findable,0,0,1,0,0,2021-10-05T09:56:20.000Z,2021-10-05T09:56:21.000Z,cern.zenodo,cern,"ice flow modelling, seasonal, ELMER-Ice, Greenland, Russell","[{'subject': 'ice flow modelling, seasonal, ELMER-Ice, Greenland, Russell'}]",,
-10.5061/dryad.n13hn,Data from: Modelling plant species distribution in alpine grasslands using airborne imaging spectroscopy,Dryad,2014,en,Dataset,Creative Commons Zero v1.0 Universal,"Remote sensing using airborne imaging spectroscopy (AIS) is known to retrieve fundamental optical properties of ecosystems. However, the value of these properties for predicting plant species distribution remains unclear. Here, we assess whether such data can add value to topographic variables for predicting plant distributions in French and Swiss alpine grasslands. We fitted statistical models with high spectral and spatial resolution reflectance data and tested four optical indices sensitive to leaf chlorophyll content, leaf water content and leaf area index. We found moderate added-value of AIS data for predicting alpine plant species distribution. Contrary to expectations, differences between species distribution models (SDMs) were not linked to their local abundance or phylogenetic/functional similarity. Moreover, spectral signatures of species were found to be partly site-specific. We discuss current limits of AIS-based SDMs, highlighting issues of scale and informational content of AIS data.",mds,True,findable,511,118,1,1,0,2014-07-08T17:34:21.000Z,2014-07-08T17:34:22.000Z,dryad.dryad,dryad,"alpine grasslands,hyperspectral data,reflectance","[{'subject': 'alpine grasslands'}, {'subject': 'hyperspectral data'}, {'subject': 'reflectance'}]",['197771 bytes'],
-10.5281/zenodo.10207347,"Link to data for the paper ""Probing resonant Andreev reflections by photon-assisted tunneling at the atomic scale""",Zenodo,2020,en,Other,Creative Commons Attribution 4.0 International,"We provide all experimental data underlying the findings in the paper ""Resonant Andreev reflections probed by photon-assisted tunnelling at the atomic scale"" and the code generated for the simulations.",api,True,findable,0,0,0,0,0,2023-11-26T12:47:06.000Z,2023-11-26T12:47:06.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4790667,Dataset: Guided accumulation of active particles by topological design of a second-order skin effect,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Experimental data files used in the manuscript ""Guided accumulation of active particles by topological design of a second-order skin effect"". Collective guidance of out-of-equilibrium systems without using external fields is a challenge of paramount importance in active matter, ranging from bacterial colonies to swarms of self-propelled particles.<br> Designing strategies to guide active matter and exploiting enhanced diffusion associated to its motion will provide insights for application from sensing, drug delivery to water remediation.<br> <br> However, achieving directed motion without breaking detailed balance, for example by asymmetric topographical patterning, is challenging.<br> <br> Here we engineer a two-dimensional periodic topographical design with detailed balance in its unit cell where we observe spontaneous particle edge guidance and corner accumulation of self-propelled particles.<br> <br> This emergent behaviour is guaranteed by a second-order non-Hermitian skin effect, a topologically robust non-equilibrium phenomenon, that we use to dynamically break detailed balance.<br> <br> Our stochastic circuit model predicts, without fitting parameters, how guidance and accumulation can be controlled and enhanced by design: a device guides particles more efficiently if the topological invariant characterizing it is non-zero.<br> <br> Our work establishes a fruitful bridge between active and topological matter, and our design principles offer a blueprint to design devices that display spontaneous, robust and predictable guided motion and accumulation, guaranteed by out-of-equilibrium topology.",mds,True,findable,0,0,0,0,0,2021-05-27T09:45:45.000Z,2021-05-27T09:45:45.000Z,cern.zenodo,cern,"active particles,second order non hermitian skin effect,topological","[{'subject': 'active particles'}, {'subject': 'second order non hermitian skin effect'}, {'subject': 'topological'}]",,
-10.26302/sshade/experiment_ak_20141112_1,Mid-infrared attenuated total reflectance experiment with K+ exchanged less 2 Î¼m size fraction of synthetic saponite equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:14:20.000Z,2022-11-04T08:14:21.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,K-exchanged saponite SAP size-fraction &lt;2 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'K-exchanged saponite SAP size-fraction &lt;2 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['5 spectra'],['ASCII']
-10.6084/m9.figshare.16786750,Additional file 16 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 16. Confirmation form (patient).,mds,True,findable,0,0,16,1,0,2021-10-12T03:41:54.000Z,2021-10-12T03:41:56.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['215211 Bytes'],
-10.26302/sshade/experiment_op_20230206_001,NIR-MIR reflectance and emissivity spectra of powdered Olivine (sub-Âµm grains) mixed with KBr,SSHADE/GhoSST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",We measured the reflectance spectra (from 1 to 25 Âµm) and emissivity (from *** to ***) of powders of olivine sub-Âµm grains mixed with KBr.,mds,True,findable,0,0,0,0,0,2023-02-08T09:15:16.000Z,2023-02-08T09:15:16.000Z,inist.sshade,mgeg,"mineral,laboratory,natural terrestrial,nesosilicate,Olivine Forsterite,tektosilicate,Quartz,solid,commercial,bromide,KBr,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,MIR,Mid-Infrared,reflectance factor,thermal emissivity","[{'subject': 'mineral'}, {'subject': 'laboratory'}, {'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'Olivine Forsterite'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'bromide'}, {'subject': 'KBr'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'reflectance factor'}, {'subject': 'thermal emissivity'}]",['6 spectra'],['ASCII']
-10.17178/cryobsclim.cdp.2018.metsnowdaily,"Col de Porte, Daily snow and meteorological data",CNRS - OSUG - Meteo France,2018,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Lejeune et al. (2019) when using data.
- Lejeune, Y., Dumont, M., Panel J.-M., Lafaysse, M., Lapalus, P., Le Gac, E., Lesaffre, B. and Morin, S., 57 years (1960-2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.), Earth System Science Data, 11(2019), 71-88, https://doi.org/10.5194/essd-11-71-2019.  The following acknowledging sentence should appear in publications using Cryobs-Clim-CDP data and products: ""Cryobs-Clim Col de Porte is funded by Meteo France, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset is part of the Cryobs-Clim-CDP  (CRYosphere, an OBServatory of the CLIMate â€“ Col de Porte) observatory",mds,True,findable,0,0,1,0,0,2018-07-19T07:26:37.000Z,2018-07-19T07:27:38.000Z,inist.osug,jbru,"Snow depth,Snow water equivalent,Air Temperature,Total precipitation,Snowfall,Rainfall,Albedo,Height of new snow","[{'subject': 'Snow depth', 'subjectScheme': 'main'}, {'subject': 'Snow water equivalent', 'subjectScheme': 'main'}, {'subject': 'Air Temperature', 'subjectScheme': 'main'}, {'subject': 'Total precipitation', 'subjectScheme': 'main'}, {'subject': 'Snowfall', 'subjectScheme': 'main'}, {'subject': 'Rainfall', 'subjectScheme': 'main'}, {'subject': 'Albedo', 'subjectScheme': 'main'}, {'subject': 'Height of new snow', 'subjectScheme': 'main'}]",,['netCDF']
-10.26302/sshade/experiment_ml_20171221_001,Zr K edge XAS fluorescence of haplogranite Zr F glass at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T09:44:49.000Z,2019-12-05T09:44:50.000Z,inist.sshade,mgeg,"laboratory,silicate,Haplogranite Zr F glass,laboratory measurement,fluorescence emission,None,hard X","[{'subject': 'laboratory'}, {'subject': 'silicate'}, {'subject': 'Haplogranite Zr F glass'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_nc_20181214_001,Mid-IR spectra of Tholins synthesized from N2:CH4 with traces of pyridine gas,SSHADE/SPAN (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Mid-IR absorption spectra for a set of Tholins films synthetized by plasma discharge in N2:CH4 gas mixtures with traces of pyridine,mds,True,findable,0,0,0,0,0,2023-04-20T18:05:37.000Z,2023-04-20T18:05:38.000Z,inist.sshade,mgeg,"laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,absorption coefficient,Tholins,laboratory,complex macromolecular mixture","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'ATReflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'var'}, {'subject': 'absorption coefficient', 'subjectScheme': 'var'}, {'subject': 'Tholins', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'complex macromolecular mixture', 'subjectScheme': 'compound type'}]",['3 spectra'],['ASCII']
-10.25384/sage.21845348.v1,sj-doc-1-acr-10.1177_02841851221138519 - Supplemental material for Validation of a screening algorithm for hepatic fibrosis by Doppler ultrasound and elastography in a general population,SAGE Journals,2023,,Text,In Copyright,"Supplemental material, sj-doc-1-acr-10.1177_02841851221138519 for Validation of a screening algorithm for hepatic fibrosis by Doppler ultrasound and elastography in a general population by Anne-Sophie Renard, Anita Paisant, Victoire Cartier, Paul CalÃ¨s, Mirela Goyet-Prelipcean, Edmond Geagea, Jean-Pierre Tasu, Christine Silvain, Mathilde Wagner, Aline Le Cleach, ValÃ©rie Vilgrain, Laurent Castera, Ivan Bricault, Thomas Decaens, CÃ©line Savoye-Collet, HÃ©lÃ¨ne Montialoux, Jean-Michel Correas, AnaÃ¯s Vallet-Pichard, JÃ©rÃ´me Boursier and Christophe AubÃ© in Acta Radiologica",mds,True,findable,0,0,0,0,0,2023-01-10T01:14:28.000Z,2023-01-10T01:14:28.000Z,figshare.sage,sage,"110320 Radiology and Organ Imaging,FOS: Clinical medicine","[{'subject': '110320 Radiology and Organ Imaging', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['36864 Bytes'],
-10.26302/sshade/experiment_dt_20170706_001,Fe K edge XAS transmission of natural siderite FeCO3 at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-15T20:29:00.000Z,2019-11-15T20:29:01.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,natural terrestrial,carbonate,Natural siderite,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'natural terrestrial'}, {'subject': 'carbonate'}, {'subject': 'Natural siderite'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_rc_20200513_000,VIS-NIR reflectance spectra collected during low-temperature and near-vacuum sublimation of spherical salty ice particles (67 Âµm average diameter) produced by freezing droplets of solutions of MgCl2 with three different concentrations,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Spherical ice particles are produced by spraying droplets of salt solution into liquid nitrogen with the SPIPA-B setup. Centimeter-thick samples made of these particles are then introduced in the SCITEAS-2 simulations chamber and their slow sublimation at low temperature and in secondary vacuum is followed for several tens of hours by VIS-NIR hyperspectral imaging.,mds,True,findable,0,0,0,0,0,2023-06-09T17:13:47.000Z,2023-06-09T17:13:48.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,water ice,Magnesium(II) chloride hydrate,laboratory,inorganic molecular solid,chloride","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) chloride hydrate', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'chloride', 'subjectScheme': 'compound type'}]",['204 spectra'],['ASCII']
-10.5281/zenodo.2248525,MB2018: Artificial spiking STDP neural network,Zenodo,2018,,Software,"Creative Commons Attribution 4.0 International,Open Access","This software implements artificial STDP spiking neural networks with an attention mechanism, which was used for spike sorting in the following study: Bernert M, Yvert B (2018) An attention-based spiking neural network for unsupervised spike-sorting. International Journal of Neural Systems, https://doi.org/10.1142/S0129065718500594 Please cite this paper as a reference.",mds,True,findable,0,0,0,0,0,2019-01-03T14:34:42.000Z,2019-01-03T14:34:43.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_gm_20220331,Raman spectra of some SiO2 polymorphs,SSHADE/REAP (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-04-08T09:29:27.000Z,2022-04-08T09:29:28.000Z,inist.sshade,mgeg,"commercial,tektosilicate,Quartz alpha,natural terrestrial,Coesite,Cristobalite,oxide-hydroxide,Stishovite,tridymite,laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,FIR,Far-Infrared,normalized Raman scattering intensity","[{'subject': 'commercial'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz alpha'}, {'subject': 'natural terrestrial'}, {'subject': 'Coesite'}, {'subject': 'Cristobalite'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Stishovite'}, {'subject': 'tridymite'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'normalized Raman scattering intensity'}]",['5 spectra'],['ASCII']
-10.26302/sshade/experiment_gm_20190813_002,Raman spectra of some sulfate minerals,SSHADE/REAP (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2021-05-13T07:46:03.000Z,2021-05-13T07:46:04.000Z,inist.sshade,mgeg,"natural terrestrial,sulfate,Anhydrite,Gypsum,Barite,Anglesite,laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,FIR,Far-Infrared,normalized Raman scattering intensity","[{'subject': 'natural terrestrial'}, {'subject': 'sulfate'}, {'subject': 'Anhydrite'}, {'subject': 'Gypsum'}, {'subject': 'Barite'}, {'subject': 'Anglesite'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'normalized Raman scattering intensity'}]",['5 spectra'],['ASCII']
-10.34847/nkl.5bcck3cz,"Moi, la Romanche",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,fr,Audiovisual,,"Au fil du temps, la Romanche s'est transformÃ©e, ses courbes amÃ©nagÃ©es, sa puissance exploitÃ©e, son destin captÃ©. Mais cette riviÃ¨re qu'a t-elle de singulier ?
-En partant de l'histoire de la riviÃ¨re, en adoptant le point de vue des Ã©lÃ©ments naturels, en rÃ©interrogeant l'usage des anciens habitants et en imaginant un futur Ã  leur cours d'eau, les Ã©lÃ¨ves ont construit une fable contemporaine sur leur territoire et son devenir.
-
-Ce film a Ã©tÃ© rÃ©alisÃ© par le collectif ""Regards des lieux"", Printemps 2021, 15 min. 35 sec
-
-Film Ã©crit et tournÃ© par les Ã©lÃ¨ves et les Ã©quipes pÃ©dagogiques des Ã©coles de Livet-et-Gavet. Voir aussi le film ""Du village Ã  l'Ã©cran"", rÃ©alisÃ© avec les Ã©coles en 2019.
-
-Merci Ã  Bastien Bourdon, EDF Hydro, Christophe SÃ©raudie, MÃ©lanie Chiazza. 
-
-Avec la participation de Fondation de France - Programme Grandir en culture, CommunautÃ© de communes de l'Oisans, Caisse d'allocation familiale de l'IsÃ¨re. 
-
-Regards des lieux est soutenu par Ville de Grenoble, Conseil dÃ©partemental de l'IsÃ¨re, RÃ©gion Auvergne RhÃ´ne-Alpes, DRAC RÃ©gion Auvergne RhÃ´ne-Alpes.",api,True,findable,0,0,0,0,0,2023-10-03T09:15:55.000Z,2023-10-03T09:15:56.000Z,inist.humanum,jbru,"""MÃ©moires des lieux,histoire orale,histoires de vie,enquÃªtes de terrain (ethnologie),DÃ©sindustrialisation,Patrimoine industriel,Pollution de l'air,Montagnes â€“ amÃ©nagement,Ã‰nergie hydraulique,Rives â€“ amÃ©nagement,Romanche, VallÃ©e de la (France),Keller, Charles Albert (1874-1940 , IngÃ©nieur A&amp;M),patrimoine immatÃ©riel,Conditions de travail,classe ouvriÃ¨re,Torrents,Risque,Chansons enfantines,enfants,voix,Attachement Ã  un lieu","[{'lang': 'fr', 'subject': '""MÃ©moires des lieux'}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'histoires de vie'}, {'lang': 'fr', 'subject': 'enquÃªtes de terrain (ethnologie)'}, {'lang': 'fr', 'subject': 'DÃ©sindustrialisation'}, {'lang': 'fr', 'subject': 'Patrimoine industriel'}, {'lang': 'fr', 'subject': ""Pollution de l'air""}, {'lang': 'fr', 'subject': 'Montagnes â€“ amÃ©nagement'}, {'lang': 'fr', 'subject': 'Ã‰nergie hydraulique'}, {'lang': 'fr', 'subject': 'Rives â€“ amÃ©nagement'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e de la (France)'}, {'lang': 'fr', 'subject': 'Keller, Charles Albert (1874-1940 , IngÃ©nieur A&amp;M)'}, {'lang': 'fr', 'subject': 'patrimoine immatÃ©riel'}, {'lang': 'fr', 'subject': 'Conditions de travail'}, {'lang': 'fr', 'subject': 'classe ouvriÃ¨re'}, {'lang': 'fr', 'subject': 'Torrents'}, {'lang': 'fr', 'subject': 'Risque'}, {'lang': 'fr', 'subject': 'Chansons enfantines'}, {'lang': 'fr', 'subject': 'enfants'}, {'lang': 'fr', 'subject': 'voix'}, {'lang': 'fr', 'subject': 'Attachement Ã  un lieu'}]",['596667242 Bytes'],['video/mp4']
-10.26302/sshade/experiment_fs_20201007_002,Fe K edge XAS fluorescence of FeSO4 in buffer for the study of the Iron binding site in the mature and C-terminal regions of wild-type and mutant human frataxin.,SSHADE/FAME (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-02T11:14:29.000Z,2022-11-02T11:14:30.000Z,inist.sshade,mgeg,"commercial,molecular solid solution,Frozen solution of FeSO4,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'molecular solid solution'}, {'subject': 'Frozen solution of FeSO4'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.6084/m9.figshare.16851078,Additional file 15 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 15: Fig. S9. NDPK-D protein expression and mitochondrial localization in MDA-MB-231 clones. A) Immunoblot detection of NDPK-D from MDA-MB-231 cells stably transfected with empty pcDNA4TO (CTR) or constructs for expression of NDPK-D WT, BD or KD. Alpha-tubulin was used as loading control. B) MDA-MB-231 clones stably transfected with empty vector (CTR), or expressing NDPK-D WT or mutants BD or KD, showing labeling of mitochondrion-selective dye MitoTracker Red CMXRos (red) and immunolabeled NDPK-D (green). Mitochondrial network details are indicated by faint line boxes magnified in bold line boxes. Scale bar, 10â€‰Î¼m.",mds,True,findable,0,0,93,1,0,2021-10-22T04:03:52.000Z,2021-10-22T04:03:54.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['15915762 Bytes'],
-10.6084/m9.figshare.c.6579520,Early management of isolated severe traumatic brain injury patients in a hospital without neurosurgical capabilities: a consensus and clinical recommendations of the World Society of Emergency Surgery (WSES),figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Severe traumatic brain-injured (TBI) patients should be primarily admitted to a hub trauma center (hospital with neurosurgical capabilities) to allow immediate delivery of appropriate care in a specialized environment. Sometimes, severe TBI patients are admitted to a spoke hospital (hospital without neurosurgical capabilities), and scarce data are available regarding the optimal management of severe isolated TBI patients who do not have immediate access to neurosurgical care. Methods A multidisciplinary consensus panel composed of 41 physicians selected for their established clinical and scientific expertise in the acute management of TBI patients with different specializations (anesthesia/intensive care, neurocritical care, acute care surgery, neurosurgery and neuroradiology) was established. The consensus was endorsed by the World Society of Emergency Surgery, and a modified Delphi approach was adopted. Results A total of 28 statements were proposed and discussed. Consensus was reached on 22 strong recommendations and 3 weak recommendations. In three cases, where consensus was not reached, no recommendation was provided. Conclusions This consensus provides practical recommendations to support clinicianâ€™s decision making in the management of isolated severe TBI patients in centers without neurosurgical capabilities and during transfer to a hub center.",mds,True,findable,0,0,0,0,0,2023-04-13T10:34:19.000Z,2023-04-13T10:34:20.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Molecular Biology,Ecology,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Ecology'}, {'subject': 'Science Policy'}]",,
-10.6084/m9.figshare.24483508,Additional file 1 of Cefoxitin versus carbapenems as definitive treatment for extended-spectrum Î²-lactamase-producing Klebsiella pneumoniae bacteremia in intensive care unit: a propensity-matched retrospective analysis,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Table S1: Analysis of risk factors for 30-day clinical failure in patients with ESBL-KP bacteremia. Table S2: Matching graph of the propensity score.,mds,True,findable,0,0,0,0,0,2023-11-02T05:00:06.000Z,2023-11-02T05:00:06.000Z,figshare.ars,otjm,"Space Science,Medicine,Microbiology,FOS: Biological sciences,Cancer,Infectious Diseases,FOS: Health sciences","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['61375 Bytes'],
-10.5061/dryad.mw6m905tc,Examining the link between relaxed predation and bird colouration on islands,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Insular ecosystems share analogous ecological conditions, leading to patterns of convergent evolution that are collectively termed the â€œisland syndromeâ€. In birds, part of this syndrome is a tendency for a duller plumage, possibly as a result of relaxed sexual selection and the reduced need for species recognition. Despite this global pattern, some insular species display a more colourful plumage than their mainland relatives, but why this occurs has remained unexplained. Here, we examine the hypothesis that these cases of increased plumage colouration on islands could arise through a relaxation of predation pressure. We used comparative analyses to investigate whether average insular richness of raptors of suitable mass influences the plumage colourfulness and brightness across 110 pairs of insular endemic species and their closest mainland relatives. As predicted, we find a likely negative relationship between insular colouration and insular predation whilst controlling for mainland predation and colouration, so that species were more likely to become more colourful as the number of insular predators decreased. In contrast, plumage brightness was not influenced by predation pressure. Relaxation from predation, together with drift, might thus be a key mechanism of species phenotypic responses to insularity.",mds,True,findable,268,36,0,0,0,2020-03-16T16:25:39.000Z,2020-03-16T16:25:40.000Z,dryad.dryad,dryad,"Insularity,colour volume,signal evolution","[{'subject': 'Insularity'}, {'subject': 'colour volume'}, {'subject': 'signal evolution'}]",['424675 bytes'],
-10.5281/zenodo.5841588,Relocated earthquakes along the Reeves-Pecos County Line in the Delaware Basin,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The files contain the relocated earthquakes in the study ""On the Depth of Earthquakes in the Delaware Basin â€“ A Case Study along the Reeves-Pecos County Line"" by Yixiao Sheng, Karissa S. Pepin and William L. Ellsworth. The manuscript has been submitted to <em>The Seismic Record</em>.",mds,True,findable,0,0,0,1,0,2022-01-12T19:38:52.000Z,2022-01-12T19:38:52.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_raman_s2o_am-so2-matrix,Raman band list of S2O in amorphous SO2 matrix,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR Raman band list of the isotopes of $S_2O$ in amorphous $SO_2$ matrix,mds,True,findable,0,0,0,0,0,2023-05-13T13:14:12.000Z,2023-05-13T13:14:12.000Z,inist.sshade,mgeg,"natural $S_2O$ in amorphous $SO_2$ matrix,Sulfur dioxide,Disulfur monoxide,amorphous Sulfur dioxide ice,amorphous SO2,Sulfur dioxide,Disulfur monoxide,7446-09-5,20901-21-7,SO2,S2O,polar molecular solid,molecular solids with polar molecules,inorganic molecular solid,Raman scattering,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural $S_2O$ in amorphous $SO_2$ matrix', 'subjectScheme': 'name'}, {'subject': 'Sulfur dioxide', 'subjectScheme': 'name'}, {'subject': 'Disulfur monoxide', 'subjectScheme': 'name'}, {'subject': 'amorphous Sulfur dioxide ice', 'subjectScheme': 'name'}, {'subject': 'amorphous SO2', 'subjectScheme': 'name'}, {'subject': 'Sulfur dioxide', 'subjectScheme': 'IUPAC name'}, {'subject': 'Disulfur monoxide', 'subjectScheme': 'IUPAC name'}, {'subject': '7446-09-5', 'subjectScheme': 'CAS number'}, {'subject': '20901-21-7', 'subjectScheme': 'CAS number'}, {'subject': 'SO2', 'subjectScheme': 'formula'}, {'subject': 'S2O', 'subjectScheme': 'formula'}, {'subject': 'polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with polar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.15778/resif.6b2021,"DEEP_TRIGGER temporary experiment in the subduction zone Peru/Chile, Peru (RESIF-SISMOB)",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2022,,Dataset,,"Preparation of subduction Earthquakes : Slow, Deep, Large-scale trigger. DeepTrigger is a project funded by the European Research Council. The aim of the project is to study the preparation of subduction earthquakes in the Chile/Peru subduction area. The seismological network deployed in Peru (6B network) is composed of 24 stations (13 broad-band velocimeters (Nanometrics T120-QA) and 11 medium-band velocimeter (Nanometrics TC20-PH). Those 24 stations will be deployed during ~3 years in southern Peru (network code 6B) from March 2022 to March 2025. The targeted area in South Peru (13Â°S-17Â°S) has been partly affected by the 2001 Mw8.4 Arequipa earthquake, and has been loaded at both extremities by the Mw8 Pisco earthquake in 2007 in the area of the Nazca ridge, and by the 2014 Mw 8.3 Iquique earthquake in North Chile. It is an area characterized by important intraslab seismicity. The megathrust is characterized by lateral variations of coupling, notably the Nazca Ridge is an intersegment area, characterized by a low coupling value, and therefore prone to host slow slip events. This area appears as an excellent target to hunt for deep â€“ shallow interactions, large-scale transients (the effect of 2014 Iquique earthquake should be investigated), and slow slip events in low coupling areas, notably in the area of the Nazca ridge. The installed seismological network will provide key data to investigate these questions. Precise catalogues of seismicity will be generated, in which swarm, repeaters and clusters will be identified and analysed. LFEs and tremors will also be systematically scanned, catalogued and analysed.",fabrica,True,findable,0,0,0,0,0,2023-03-30T15:00:22.000Z,2023-03-30T15:00:57.000Z,inist.resif,vcob,"Seismology,Subduction,Earthquake,Peru,South America","[{'subject': 'Seismology'}, {'subject': 'Subduction'}, {'subject': 'Earthquake'}, {'subject': 'Peru'}, {'subject': 'South America'}]","['25 stations, 189Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.17178/emaa_(36ar)h-plus_rotation_173ef621,Rotation excitation of [36Ar]H+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",12 rotation energy levels / 11 radiative transitions / 66 collisional transitions for H (34 temperatures in the range 10-1000K) / 60 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:30.000Z,2021-11-18T13:34:31.000Z,inist.osug,jbru,"target [36Ar]H+,excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target [36Ar]H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_sb_20200128_001,Optical constants in the MIR and FIR for an oriented fayalite crystal parallel to the three crystallographic axes,SSHADE/DOCCD (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-04-20T09:05:15.000Z,2020-04-20T09:05:16.000Z,inist.sshade,mgeg,"laboratory,nesosilicate,Fayalite,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'nesosilicate'}, {'subject': 'Fayalite'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['3 spectra'],['ASCII']
-10.26302/sshade/experiment_op_20201223_001,"Vis-NIR reflectance spectra of H2O ice with varying grain sizes (70-1060Âµm), shapes (spherical or irregular) and three mixtures, from 70 to 220 K",SSHADE/CSS (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","We measured the reflectance spectra (from 0.4 to 4.2 Âµm) of water ice particles of varying sizes (from 70 to 1060 Âµm), shapes (spherical or irregular grains), and three mixtures of ~70 and ~1060 Âµm grains, at different temperatures from 70 to 220 K.",mds,True,findable,0,0,0,0,0,2021-11-26T18:12:39.000Z,2021-11-26T18:12:40.000Z,inist.sshade,mgeg,"solid,laboratory,inorganic molecular solid,water ice,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'water ice'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['75 spectra'],['ASCII']
-10.5281/zenodo.1479794,Brainstorm software 7-Nov-2018,Zenodo,2018,,Software,"Creative Commons Attribution Share Alike 4.0 International,Open Access","Brainstorm snapshot from 7-Nov-2018, for replicability of a published analysis pipeline (including FieldTrip 17-Dec-2018).",mds,True,findable,1,0,0,0,0,2018-11-07T17:21:55.000Z,2018-11-07T17:21:56.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.4mj8gg0,"Data from: Genetic, morphological and ecological variation across a sharp hybrid zone between two alpine butterflies species",Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"Identifying the mechanisms involved in the formation and maintenance of species is a central question in evolutionary biology and distinguishing the selective drivers of populationsâ€™ divergence from demographic processes is of particular interest to better understand the speciation process. Hybrid zones are recognized to provide ideal places to investigate the genetic architecture of speciation and to identify the mechanisms allowing diverging species to maintain their integrity in the face of gene flow. Here, we studied two alpine butterfly species in the genus Coenonympha: C. macromma and C. gardetta, which can be found flying together and hybridizing in narrow contact zones in the southern French Alps. We characterised the genomic composition of individuals, their morphology and their local habitat requirements, within and around a hybrid zone. Cline analysis showed that a significant portion of the genomic regions analysed were impermeable to introgression across a sharp hybrid zone (9 km wide), despite ongoing hybridisation between the species. We also found concordance between genetic, morphological and environmental variation across the hybrid zone, suggesting a coupling of different reproductive barriers. Habitat characteristics such as the presence of trees and shrubs and the start of the growing season were strongly associated with the genetic variation and we found evidence of genetic divergence at genetic markers associated with morphology and physiology, putatively involved in visual or environmental reproductive isolation. We discuss the various behavioural and ecological factors that might interplay to maintain current levels of divergence and gene flow between this species pair.",mds,True,findable,146,11,0,0,0,2020-01-17T17:43:48.000Z,2020-01-17T17:43:49.000Z,dryad.dryad,dryad,"genetic cline,Coenonympha,Alps,allopatric/geographic speciation","[{'subject': 'genetic cline'}, {'subject': 'Coenonympha'}, {'subject': 'Alps'}, {'subject': 'allopatric/geographic speciation'}]",['220159829 bytes'],
-10.5061/dryad.jm63xsj7b,Data from: Tetra-EU 1.0: a species-level trophic meta-web of European tetrapods,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Motivation Documenting potential interactions between species represents a major step to understand and predict the spatial and temporal structure of multi-trophic communities and their functioning. The metaweb concept summarises the potential trophic (and non-trophic) interactions in a given species-pool. As such, it generalises the regional species-pool of community ecology by incorporating the potential relationships between species from different trophic levels along with their functional characteristics. However, while this concept is theoretically very attractive, it has rarely been used to understand the structure of ecological network, mostly because of data availability. Here, we provide a continental scale, species-level, metaweb for all tetrapods (mammals, breeding birds, reptiles, amphibians) occurring in Europe and in the Northern Mediterranean basin. This metaweb is based on data extracted from scientific literature, including published papers, books, and grey literature. Main type of variable contained For each species considered, we built the network of potential 2-way trophic interactions. Spatial location and grain We considered all species occurring in the entire European sub-continent, from Macaronesia (including only the islands politically belonging to Spain and Portugal) to the Ural Mountains (west to east), and from Fennoscandia and UK islands to the Mediterranean (north to south). We included Turkey, geographically part of Asia, to provide a complete picture of the north-eastern Mediterranean coast. Time period The data represent information published and/or collected during the last 50 years. Major taxa studied and level of measurement We focused our metaweb on terrestrial tetrapods occurring in the study area. Only species introduced in historical times and currently naturalized were considered; novel introductions were excluded. In total we included 288 mammals, 509 regularly breeding birds, 250 reptiles, and 104 amphibians. Software format Data are supplied as semi-colon separated text files.",mds,True,findable,669,258,1,2,0,2020-05-21T07:58:22.000Z,2020-05-21T07:58:23.000Z,dryad.dryad,dryad,"breeding birds,Reptiles,metaweb,Trophic interactions","[{'subject': 'breeding birds'}, {'subject': 'Reptiles', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'metaweb'}, {'subject': 'Trophic interactions', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['16596876 bytes'],
-10.7280/d1b114,"Dataset for: Fast retreat of Pope, Smith, and Kohler glaciers in West Antarctica observed by satellite interferometry",Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Pope, Smith, and Kohler glaciers, in the Amundsen Sea Embayment of West Antarctica, have experienced enhanced ocean-induced ice-shelf melt, glacier acceleration, ice thinning, and grounding line retreat in the past thirty years, in a glaciological setting with retrograde bedrock slopes conducive to marine ice sheet instability. Here we present observations of the grounding line retreat of these glaciers since 2014 using a constellation of interferometric radar satellites with a short revisit cycle combined with precision surface elevation data. We find that the glacier grounding lines develop spatially-variable, km-sized, tidally-induced migration zones. After correction for tidal effects, we detect a sustained pattern of retreat coincident with high melt rates of un-grounded ice, marked by episodes of more rapid retreat. In 2017, Pope Glacier retreated 3.5 km in 3.6 months, or 11.7 km/yr. In 2016-2018, Smith West retreated at 2 km/yr and Kohler at 1.3 km/yr. While the retreat slowed down in 2018-2020, these retreat rates are faster than anticipated by numerical models on yearly time scales. We hypothesize that the rapid retreat is caused by un-represented, vigorous ice-ocean interactions acting within newly-formed cavities at the ice-ocean boundary.",mds,True,findable,1020,103,0,0,0,2021-11-01T23:46:08.000Z,2021-11-01T23:46:09.000Z,dryad.dryad,dryad,"FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences","[{'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['2646545672 bytes'],
-10.17178/emaa_hc3(15n)_rotation_4dcd1291,"Rotation excitation of HC3[15N] by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",38 rotation energy levels / 37 radiative transitions / 564 collisional transitions for para-H2 (20 temperatures in the range 10-300K) / 564 collisional transitions for ortho-H2 (20 temperatures in the range 10-300K) / 37 collisional transitions for electron (5 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:58.000Z,2021-11-18T13:34:59.000Z,inist.osug,jbru,"target HC3[15N],excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC3[15N]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.7558920,Modelling deep rooting thrusted mechanism of crustal thickening for Eastern Tibet,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Open Access",This is the FEM code that was used to produce all results in the publication.,mds,True,findable,0,0,0,0,0,2023-01-22T17:12:28.000Z,2023-01-22T17:12:29.000Z,cern.zenodo,cern,geodynamics,[{'subject': 'geodynamics'}],,
-10.26302/sshade/experiment_st_20180418_001,Zn K edge XAS HERFD of Zn compounds at 10K for coordination determination in complex biological systems,SSHADE/FAME (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,1,0,0,2019-12-05T13:43:46.000Z,2019-12-05T13:43:46.000Z,inist.sshade,mgeg,"laboratory measurement,fluorescence emission,None,hard X,BN powder,ZnS Zn sulfide sphalerite,Zn diethyldithiocarbamate,ZnO Zn oxide wurtzite,Zn phthalocyanine,Frozen solution of ZnCys4 peptide,Frozen solution of ZnCys3His peptide,Frozen solution of ZnCys2His2 peptide,Frozen solution of aqueous Zn(Cysteine)4,Frozen solution of aqueous Zn(Histidine)4,Frozen solution of aqueous Zn(Malate)3,Frozen solution of hydrated Zn ion ($Zn(H_2O)_6^{2+}$),solid,commercial,laboratory,non-oxide ceramic,organic salt,oxide-hydroxide,molecular solid solution","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'fluorescence emission', 'subjectScheme': 'main'}, {'subject': 'None', 'subjectScheme': 'main'}, {'subject': 'hard X', 'subjectScheme': 'variables'}, {'subject': 'BN powder', 'subjectScheme': 'name'}, {'subject': 'ZnS Zn sulfide sphalerite', 'subjectScheme': 'name'}, {'subject': 'Zn diethyldithiocarbamate', 'subjectScheme': 'name'}, {'subject': 'ZnO Zn oxide wurtzite', 'subjectScheme': 'name'}, {'subject': 'Zn phthalocyanine', 'subjectScheme': 'name'}, {'subject': 'Frozen solution of ZnCys4 peptide', 'subjectScheme': 'name'}, {'subject': 'Frozen solution of ZnCys3His peptide', 'subjectScheme': 'name'}, {'subject': 'Frozen solution of ZnCys2His2 peptide', 'subjectScheme': 'name'}, {'subject': 'Frozen solution of aqueous Zn(Cysteine)4', 'subjectScheme': 'name'}, {'subject': 'Frozen solution of aqueous Zn(Histidine)4', 'subjectScheme': 'name'}, {'subject': 'Frozen solution of aqueous Zn(Malate)3', 'subjectScheme': 'name'}, {'subject': 'Frozen solution of hydrated Zn ion ($Zn(H_2O)_6^{2+}$)', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'non-oxide ceramic', 'subjectScheme': 'compound type'}, {'subject': 'organic salt', 'subjectScheme': 'compound type'}, {'subject': 'oxide-hydroxide', 'subjectScheme': 'compound type'}, {'subject': 'molecular solid solution', 'subjectScheme': 'compound type'}]",['11 spectra'],['ASCII']
-10.6084/m9.figshare.16851114,Additional file 23 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 23: Table S4. Association between NME4 and EMT and tumor invasion marker expression in breast tumors. The relationship between NME4 expression and several key players of EMT and tumor invasion was studied in human breast tumors from the TCGA database.,mds,True,findable,0,0,93,1,0,2021-10-22T04:05:57.000Z,2021-10-22T04:05:59.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['15547 Bytes'],
-10.5061/dryad.xpnvx0knw,"Drying and fragmentation drive the dynamics of resources, consumers and ecosystem functions across aquatic-terrestrial habitats in a river network",Dryad,2024,en,Dataset,Creative Commons Zero v1.0 Universal,"Rivers form meta-ecosystems, in which disturbance and connectivity control
- biodiversity, ecosystem functioning, and their interactions â€“ across the
- river network, but also across connected instream and riparian ecosystems.
- This aquatic-terrestrial linkage is modified by drying; a disturbance that
- also naturally fragments river networks and thereby modifies organism
- dispersal and organic matter (OM) transfers across the river network.
- However, little evidence of the effects of drying on river network-scale
- OM cycling exists. Here, we assessed the effects of fragmentation by
- drying at the river meta-ecosystem scale by monitoring, leaf resource
- stocks, invertebrate communities, and decomposition rates across three
- seasons and 20 sites, in the instream and riparian habitats of a river
- network naturally fragmented by drying. Although instream leaf resource
- quantity and quality increased, leaf-shredder invertebrate richness and
- abundance decreased with flow intermittence. Decomposition was however
- mainly driven by network-scale fragmentation and connectivity. Shredder
- richness and invertebrate-driven decomposition both peaked at sites with
- an intermediate amount of intermittent reaches upstream, suggesting that
- upstream drying can promote the biodiversity and functioning of downstream
- ecosystems. Shredder richness had however a negative effect on
- decomposition in perennial sites, likely due to interspecific competition.
- Leaf quantity, invertebrate communities, and invertebrate-driven
- decomposition became more similar between instream and riparian habitats
- as drying frequency increased, likely due to homogenization of
- environmental conditions between both habitats as the river dries. Our
- study demonstrates the paramount effects of drying on the dynamics of
- resources, communities, and ecosystem functioning in rivers and represents
- one of the first network-scale evidence of the co-drivers of ecosystem
- functions across terrestrial-aquatic boundaries.",mds,True,findable,0,0,0,0,0,2024-02-15T20:27:36.000Z,2024-02-15T20:27:37.000Z,dryad.dryad,dryad,"subsidies,meta-ecosystems,Metacommunities,Decomposition,biodiversity-ecosystem functioning relationships (BEF),FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'subsidies'}, {'subject': 'meta-ecosystems'}, {'subject': 'Metacommunities'}, {'subject': 'Decomposition', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'biodiversity-ecosystem functioning relationships (BEF)'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['212839 bytes'],
-10.34847/nkl.2bad8uj6,Carte des mÃ©moires sensibles de la Romanche - version finale,NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,PhysicalObject,,"ReprÃ©sentation cartographique par AAU-CRESSON (Laure Brayer, Ryma Hadbi, Rachel Thomas et alii) Ã  partir des rÃ©cits collectÃ©s dans la vallÃ©e de la Romanche (2018-2021) par AAU-CRESSON et Regards des Lieux. 
-
-Les multiples rÃ©cits collectÃ©s au cours des arpentages et des rencontres rÃ©alisÃ©s dans la vallÃ©e ont constituÃ© la matiÃ¨re premiÃ¨re dâ€™une reprÃ©sentation cartographique dont lâ€™ambition est de faire Ã©tat de la polyphonie des expÃ©riences des lieux. En reprÃ©sentant les mÃ©moires sensibles de la vallÃ©e par le bais de diverses opÃ©rations de traduction Ã  lâ€™origine de ce travail cartographique, lâ€™enjeu sous-jacent est de questionner des formes possibles dâ€™une Ã©criture sensible critique. En tentant de mettre en partage les rapports pluriels et parfois contradictoires au paysage, la carte est interrogÃ©e comme potentiel lieu dâ€™Ã©laboration dâ€™une critique concernÃ©e dont les expÃ©riences sensibles sont le terreau. 
-
-Cette carte est la version finale d'octobre 2021 faite sur Illustrator (Adobe). Il s'agit de l'actualisation de la carte intermÃ©diaire qui prend en compte les rÃ©actions et retours des habitants suite Ã  la prÃ©sentation lors de la journÃ©e ""Au fil de l'eau 2"" en juin 2021. Elle a Ã©tÃ© prÃ©sentÃ©e lors de la journÃ©e d'Ã©tudes Les Ondes de lâ€™Eau Â« Traduction cartographique des mÃ©moires sensibles de la Romanche Â» en octobre 2021 pour Ãªtre mise en discussion.",api,True,findable,0,0,0,0,0,2022-06-27T12:34:23.000Z,2022-06-27T12:34:23.000Z,inist.humanum,jbru,"enquÃªtes de terrain (ethnologie),DÃ©sindustrialisation,Patrimoine industriel,Pollution de l'air,Montagnes â€“ amÃ©nagement,Ã‰nergie hydraulique,Rives â€“ amÃ©nagement,Cartographie critique,ReprÃ©sentation graphique,Romanche, VallÃ©e de la (France),Keller, Charles Albert (1874-1940,IngÃ©nieur A&amp;M),Histoires de vie,Cartographie sensible,MÃ©moires des lieux,histoire orale,patrimoine immatÃ©riel,Sens et sensations,Perception de l'espace,RÃ©cit personnel,carte sensible","[{'lang': 'fr', 'subject': 'enquÃªtes de terrain (ethnologie)'}, {'lang': 'fr', 'subject': 'DÃ©sindustrialisation'}, {'lang': 'fr', 'subject': 'Patrimoine industriel'}, {'lang': 'fr', 'subject': ""Pollution de l'air""}, {'lang': 'fr', 'subject': 'Montagnes â€“ amÃ©nagement'}, {'lang': 'fr', 'subject': 'Ã‰nergie hydraulique'}, {'lang': 'fr', 'subject': 'Rives â€“ amÃ©nagement'}, {'lang': 'fr', 'subject': 'Cartographie critique'}, {'lang': 'fr', 'subject': 'ReprÃ©sentation graphique'}, {'lang': 'fr', 'subject': 'Romanche, VallÃ©e de la (France)'}, {'lang': 'fr', 'subject': 'Keller, Charles Albert (1874-1940'}, {'lang': 'fr', 'subject': 'IngÃ©nieur A&amp;M)'}, {'lang': 'fr', 'subject': 'Histoires de vie'}, {'lang': 'fr', 'subject': 'Cartographie sensible'}, {'lang': 'fr', 'subject': 'MÃ©moires des lieux'}, {'lang': 'fr', 'subject': 'histoire orale'}, {'lang': 'fr', 'subject': 'patrimoine immatÃ©riel'}, {'lang': 'fr', 'subject': 'Sens et sensations'}, {'lang': 'fr', 'subject': ""Perception de l'espace""}, {'lang': 'fr', 'subject': 'RÃ©cit personnel'}, {'lang': 'fr', 'subject': 'carte sensible'}]","['16654505 Bytes', '70369012 Bytes']","['image/jpeg', 'application/pdf']"
-10.17178/emaa_dcn_rotation_0d1b1e03,"Rotation excitation of DCN by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 231 collisional transitions for para-H2 (12 temperatures in the range 5-500K) / 231 collisional transitions for ortho-H2 (12 temperatures in the range 5-500K) / 36 collisional transitions for electron (10 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:24:25.000Z,2022-02-07T11:24:26.000Z,inist.osug,jbru,"target DCN,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target DCN', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/gnss.products.epos.2019,GNSS position and velocity solutions calculated in the framework of the EPOS initiative with IGS final products,"CNRS, OSUG, ISTERRE",2019,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)"". 
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset include all GNSS solutions processed by ISTerre with IGS final products in the framework of the EPOS initiative. These products are position time series (North, East and Vertical) and the horizontal and vertical velocity fields calculated from rinex files using the double difference method with GAMIT software. These products are updated every day.",mds,True,findable,0,0,0,0,0,2019-11-08T14:59:31.000Z,2019-11-08T14:59:31.000Z,inist.osug,jbru,"GNSS products,Velocity field,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'Velocity field', 'subjectScheme': 'var'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['sinex', 'pos', 'PBO']"
-10.26302/sshade/experiment_op_20180115_004,Br K edge XAS transmission and HERFD of rubidium bromide anydrous salt at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-10-29T16:52:13.000Z,2020-11-02T16:13:57.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,bromide,Rubidium bromide anydrous salt,laboratory measurement,transmission,None,hard X,hard X-rays,fluorescence emission","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'bromide'}, {'subject': 'Rubidium bromide anydrous salt'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'fluorescence emission'}]",['2 spectra'],['ASCII']
-10.5281/zenodo.8269854,Heterogeneous/Homogeneous Change Detection dataset,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"""Please if you use this datasets we appreciated that you reference this repository and cite the works related that made possible the generation of this dataset.""
-ThisÂ change detection datastetÂ has different events, satellites, resolutions and includes both homogeneous/heterogeneous cases. The main idea of the dataset is to bring a benchmark on semantic change detection in remote sensing field.This dataset is the outcome of the following publications:
-
-@article{Â Â Â JimenezSierra2022graph,author={Jimenez-Sierra, David Alejandro and Quintero-Olaya, David Alfredo and Alvear-Mu{\~n}oz, Juan Carlos and Ben{\'i}tez-Restrepo, Hern{\'a}n Dar{\'i}o and Florez-Ospina, Juan Felipe and Chanussot, Jocelyn},journal={IEEE Transactions on Geoscience and Remote Sensing},title={Graph Learning Based on Signal Smoothness Representation for Homogeneous and Heterogeneous Change Detection},year={2022},volume={60},number={},pages={1-16},doi={10.1109/TGRS.2022.3168126}}Â 
-@article{Â Â Â JimenezSierra2020graph,title={Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops},author={Jimenez-Sierra, David Alejandro and Ben{\'i}tez-Restrepo, Hern{\'a}n Dar{\'i}o and Vargas-Cardona, Hern{\'a}n Dar{\'i}o and Chanussot, Jocelyn},journal={Remote Sensing},volume={12},number={17},pages={2683},year={2020},publisher={Multidisciplinary Digital Publishing Institute},doi={10.3390/rs12172683}}Â 
-@inproceedings{jimenez2021blue,title={Blue noise sampling and Nystrom extension for graph based change detection},author={Jimenez-Sierra, David Alejandro and Ben{\'\i}tez-Restrepo, Hern{\'a}n Dar{\'\i}o and Arce, Gonzalo R and Florez-Ospina, Juan F},booktitle={2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS},ages={2895--2898},year={2021},organization={IEEE},doi={10.1109/IGARSS47720.2021.9555107}}Â 
-@article{florez2023exploiting,title={Exploiting variational inequalities for generalized change detection on graphs},author={Florez-Ospina, Juan F and Jimenez Sierra, David A and Benitez-Restrepo, Hernan D and Arce, Gonzalo},journal={IEEE Transactions on Geoscience and Remote Sensing}, Â year={2023},volume={61},number={},pages={1-16},doi={10.1109/TGRS.2023.3322377}}Â 
-@article{florez2023exploitingxiv,title={Exploiting variational inequalities for generalized change detection on graphs},author={Florez-Ospina, Juan F. and Jimenez-Sierra, David A. and Benitez-Restrepo, Hernan D. and Arce, Gonzalo R},year={2023},publisher={TechRxiv},doi={10.36227/techrxiv.23295866.v1}}
-In the table on the html file (dataset_table.html) are tabulated all the metadata and details related to each case within the dasetet. The cases with a link, were gathered from those sources and authors, therefore you should refer to their work as well.
-The rest of the cases or events (without a link), were obtained through the use of open sources such as:
-
-Copernicus
-European Space Agency
-Alaska Satellite Facility (Vertex)
-Earth Data
-In addition, we carried out all the processing of the images by using the SNAP toolbox from the European Space Agency. This proccessing involves the following:
-
-Data co-registration
-Cropping
-Apply Orbit (for SAR data)
-Calibration (for SAR data)
-Speckle Filter (for SAR data)
-Terrain Correction (for SAR data)
-Lastly, the ground truth was obtained from homogeneous images for pre/post events by drawing polygons to highlight the areas where a visible change was present. The images where layout and synchorized to be zoomed over the same are to have a better view of changes. This was an exhaustive work in order to be precise as possible.Feel free to improve and contributeÂ to this dataset.",api,True,findable,0,0,0,0,1,2023-11-05T15:26:41.000Z,2023-11-05T15:26:41.000Z,cern.zenodo,cern,"Remote sensing,Change Detection,Multi-Spectral,SAR","[{'subject': 'Remote sensing'}, {'subject': 'Change Detection'}, {'subject': 'Multi-Spectral'}, {'subject': 'SAR'}]",,
-10.5281/zenodo.10069275,The Effect of Typing Efficiency and Suggestion Accuracy on Usage of Word Suggestions and Entry Speed,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Data collected during our experiments investigating the effect of suggestion accuracy and typing efficiency on usage of word suggestions, and entry speed",api,True,findable,0,0,0,0,0,2023-11-03T12:54:51.000Z,2023-11-03T12:54:51.000Z,cern.zenodo,cern,"writing,word suggestions","[{'subject': 'writing'}, {'subject': 'word suggestions'}]",,
-10.7275/bp3n-mw53,Impact of Leverage on Financial Information Quality: International Evidence from the Hospitality Industry,University of Massachusetts Amherst,2020,,Text,,,fabricaForm,True,findable,0,0,0,0,0,2020-04-30T16:31:17.000Z,2020-04-30T16:31:18.000Z,umass.uma,umass,,,,
-10.5285/3ea504d8-41c2-40dc-86dc-284c341badaa,"Ice radar data from Little Dome C, Antarctica, 2016-2018",NERC EDS UK Polar Data Centre,2022,en,Dataset,Open Government Licence V3.0,"The dataset consists of 14 selected lines of radar data, collected from the Little Dome C region close to Concordia Station in East Antarctica. The data were collected in austral field seasons 2016-17, and 2017-18, from within the search region for the planned European project Beyond EPICA - Oldest Ice, an EU-funded 10-nation consortium project to drill an ice core that spans up to 1.5 million years of climate and atmospheric history. Radar lines were recorded using the BAS DELORES sledge-borne, over-snow, ice radar system and geolocated with a precise GPS system. This data was generated within the project Beyond EPICA - Oldest Ice (BE-OI). The project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 730258 (BE-OI CSA). It has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 16.0144. It is further supported by national partners and funding agencies in Belgium, Denmark, France, Germany, Italy, Norway, Sweden, Switzerland, the Netherlands and the UK. Logistic support is mainly provided by AWI, BAS, ENEA and IPEV. Collection of this data also benefited from support by the joint French-Italian Concordia Programme, which established and runs the permanent station Concordia at Dome C. We particularly acknowledge those who collected the data in the field, and assisted with the processing: Robert Mulvaney, Massimo Frezzotti, Marie Cavitte, Ed King, Carlos Martin, Catherine Ritz, Julius Rix.",mds,True,findable,0,0,0,0,0,2022-03-04T09:26:18.000Z,2022-03-04T09:29:51.000Z,bl.nerc,rckq,"""EARTH SCIENCE"",""CRYOSPHERE"",""GLACIERS/ICE SHEETS"",""GLACIER THICKNESS/ICE SHEET THICKNESS"",""EARTH SCIENCE"",""CRYOSPHERE"",""GLACIERS/ICE SHEETS"",""GLACIER TOPOGRAPHY/ICE SHEET TOPOGRAPHY"",""EARTH SCIENCE"",""CRYOSPHERE"",""SNOW/ICE"",""SNOW STRATIGRAPHY"",""EARTH SCIENCE"",""SPECTRAL/ENGINEERING"",""RADAR"",""RADAR REFLECTIVITY"",""EARTH SCIENCE"",""CRYOSPHERE"",""GLACIERS/ICE SHEETS"",""EARTH SCIENCE"",""SPECTRAL/ENGINEERING"",""RADAR"",DELORES,EPICA,Little Dome C,oldest ice,radar","[{'subject': '""EARTH SCIENCE"",""CRYOSPHERE"",""GLACIERS/ICE SHEETS"",""GLACIER THICKNESS/ICE SHEET THICKNESS""', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords/?format=xml', 'subjectScheme': 'GCMD'}, {'subject': '""EARTH SCIENCE"",""CRYOSPHERE"",""GLACIERS/ICE SHEETS"",""GLACIER TOPOGRAPHY/ICE SHEET TOPOGRAPHY""', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords/?format=xml', 'subjectScheme': 'GCMD'}, {'subject': '""EARTH SCIENCE"",""CRYOSPHERE"",""SNOW/ICE"",""SNOW STRATIGRAPHY""', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords/?format=xml', 'subjectScheme': 'GCMD'}, {'subject': '""EARTH SCIENCE"",""SPECTRAL/ENGINEERING"",""RADAR"",""RADAR REFLECTIVITY""', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords/?format=xml', 'subjectScheme': 'GCMD'}, {'subject': '""EARTH SCIENCE"",""CRYOSPHERE"",""GLACIERS/ICE SHEETS""', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords/?format=xml', 'subjectScheme': 'GCMD'}, {'subject': '""EARTH SCIENCE"",""SPECTRAL/ENGINEERING"",""RADAR""', 'schemeUri': 'http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords/?format=xml', 'subjectScheme': 'GCMD'}, {'subject': 'DELORES'}, {'subject': 'EPICA'}, {'subject': 'Little Dome C'}, {'subject': 'oldest ice'}, {'subject': 'radar'}]","['16 files', '300.2 MB']","['text/x-fortranapplication/octet-stream', 'image/png', 'text/plain', 'text/csv', 'SEG-Y']"
-10.5061/dryad.bnzs7h4ds,Gait behavioral and neuromuscular characterization in response to increasing working memory load while walking under optic flow perturbations in young adults,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"The precise role of cognitive control on optic flow processing during locomotion has rarely been investigated. Therefore, this study aimed to determine whether coping with unreliable visual inputs during walking requires attentional resources. Twenty-four healthy young adults walked on an instrumented treadmill in a virtual environment under two optic flow conditions: normal (NOF) and perturbed (POF, continuous mediolateral pseudo-random oscillations). Each condition was performed under single-task and dual-task conditions of increasing difficulty (1-, 2-, 3-back). In all conditions, subjective mental workload was estimated (raw NASA-TLX). For kinematic variables, mean, standard deviation, statistical persistence and step-to-step error correction were computed from gait time series in mediolateral and anteroposterior directions. For EMG variables of soleus and gluteus medius, the full width at half maximum and the variance ratio were calculated. Performance on N-back tasks was assessed using mean reaction time and d-prime. Cognitive performance was not affected by simultaneous walking in any optic flow condition. Gait variability was altered under POF compared to NOF, so that young adults sought to counteract those perturbations by adopting an effortful gait control strategy, independently of concurrent working memory (WM) load. Increasing WM load led changes first at the neuromuscular level, then at the behavioral level, with a prioritization of gait control in the mediolateral direction. Interestingly, dual-tasking lowered the effects of POF but in the anteroposterior direction only. These findings and their theoretical implications provide valuable insight into the complex interaction effects of cognitive and visual constraints on gait control during treadmill walking.",mds,True,findable,154,5,0,1,0,2022-08-15T15:25:42.000Z,2022-08-15T15:25:42.000Z,dryad.dryad,dryad,"gait,lateral balance,muscle activity,FOS: Health sciences,FOS: Health sciences,variability,Nonlinear dynamics,executive function","[{'subject': 'gait'}, {'subject': 'lateral balance'}, {'subject': 'muscle activity'}, {'subject': 'FOS: Health sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'variability'}, {'subject': 'Nonlinear dynamics', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'executive function'}]",['2515659 bytes'],
-10.5281/zenodo.10210416,blood_on_snow_data,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2023-11-28T07:30:15.000Z,2023-11-28T07:30:15.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.6055786,Assessment of future wind speed and wind power changes over South Greenland using the MAR regional climate model : MAR ouptuts and KATABATA weather stations timeseries,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Daliy MARv3.12 outputs and KATABATA weather stations timeseries used in : Lambin, C., Fettweis, X., Kittel, C., Fonder, M. and Ernst, D. (2022), Assessment of future wind speed and wind power changes over South Greenland using the MAR regional climate model, [e-print in Orbi], https://orbi.uliege.be/handle/2268/288534?&amp;locale=en",mds,True,findable,0,0,0,0,0,2022-03-08T16:19:05.000Z,2022-03-08T16:19:09.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_cc_20180427_001,VNIR reflectance spectra of Thenardite with 3 different grain sizes and at variable temperature (93-279 K),SSHADE/REFL_SLAB+CSS (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR (0.8-4.2 Âµm) reflectance spectra of Thenardite with three different grain sizes (36-50, 75-100 and 125-150 Âµm) acquired at 11 temperatures between 93K and 279K",mds,True,findable,0,0,0,0,0,2022-06-06T12:39:42.000Z,2022-06-06T12:39:43.000Z,inist.sshade,mgeg,"solid,commercial,sulfate,Thenardite (anhydrous sodium sulfate),laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'sulfate'}, {'subject': 'Thenardite (anhydrous sodium sulfate)'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['43 spectra'],['ASCII']
-10.5281/zenodo.7308352,An assessment of basal melt parameterisations for Antarctic ice shelves,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains the data and scripts for the publication ""An assessment of basal melt parameterisations for Antarctic ice shelves"" in <em>The Cryosphere</em>. Before going into details, here is a reminder that the NEMO runs are called 'OPM+number'. These are the corresponding names given in the manuscript: OPM006=HIGHGETZ, OPM016=WARMROSS, OPM018=COLDAMU and OPM021=REALISTIC. The zipping has been made so that if you download and unzip everything you will have the following file structure: ===============<br> <strong>raw/</strong> <strong>Ant_MeltingRate.v2.2.nc</strong> <em>(from RAW_other.zip):</em> 2D observational estimates of melt rates updated from Rignot et al. (2013) by JÃ©rÃ©mie Mouginot (used in Fig. B3) <strong>DUTRIEUX_2014/</strong> <em>(from RAW_other.zip)</em>: observational estimates temperature and salinity profiles for Pine Island Ice Shelf (inferred from Dutrieux et al., 2014 with 'find_click_position_T_from_article.py', used to produce 'T_S_profiles-dutrieux_2014_PIGL.nc') used for Fig. 8 <strong>MASK_METADATA/</strong> <em>(from RAW_other.zip)</em>: contains txt and csv files (prepared by N. Jourdain) needed for the masks, and 'IPCC_cryo_div.txt' used for the maps in Fig. 5 <strong>grid_eORCA025_CDO.nc</strong> <em>(from RAW_other.zip)</em>: grid info needed to interpolate eORCA025 grid to stereographic (provided by Fabien Gillet-Chaulet) <strong>NEMO_main/NEMO_eORCA025.L121_OPM0*_ANT_STEREO</strong><strong> </strong><em>(from RAW_nemo_OPM0*.zip)</em>: NEMO simulation output of OPM0* run, cut at 60Â°S on eORCA025 grid, contains: variables_of_interest: variables_of_interest_*_Ant.nc: variables of interest for the study cavity_melt_*_Ant.nc: ice-shelf melt eORCA025.L121-OPM0*_mesh_mask.nc: geometric constants and masks <strong>NEMO_appendix/NEMO_OPM0* </strong><em>(from RAW_nemo_appendix.zip)</em>: NEMO simulation output of OPM0* run used for the figures in Appendix B. The NEMO simulations were conducted by Pierre Mathiot. ===============<br> <strong>interim/</strong> <strong>ANTARCTICA_IS_MASKS</strong>/ (<em>from INTERIM_ANTARCTICA_IS_MASKS.zip</em>): contains 'nemo_5km_isf_masks_and_info_and_distance_new_oneFRIS.nc' for each NEMO run and for BedMachine, which contains masks and geometric information needed for the application of the parameterisation and computing plume and box characteristics<br> =&gt; produced with 'preprocessing/isf_mask_NEMO.ipynb' and 'preprocessing/isf_mask_BedMachine.ipynb' <strong>BOXES/</strong> (<em>from INTERIM_BOXES.zip</em>): contains 'nemo_5km_boxes_1D_oneFRIS.nc' and 'nemo_5km_boxes_2D_oneFRIS.nc' for each NEMO run and for BedMachine, which contains the variables needed to apply the box parameterisation<br> =&gt; produced with 'preprocessing/isf_mask_NEMO.ipynb' and 'preprocessing/isf_mask_BedMachine.ipynb' <strong>PLUMES/ </strong>(<em>from INTERIM_PLUMES.zip</em>): contains 'nemo_5km_plume_characteristics_oneFRIS.nc' for each NEMO run and for BedMachine, which contains the variables needed to apply the plume parameterisation<br> =&gt; produced with 'preprocessing/isf_mask_NEMO.ipynb' and 'preprocessing/isf_mask_BedMachine.ipynb' <strong>SIMPLE</strong>/ (<em>from INTERIM_SIMPLE.zip</em>) <strong>nemo_5km_06161821_oneFRIS/</strong>: contains netcdf-files summarising the tuned parameters resulting from the cross-validation over ice shelves (CVshelves), the cross-validation over time (CVtime), the tuning over all sample (ALL) and the bootstrap tuning (BT and clusterbootstrap*)<br> =&gt; summary of results from running the scripts in the folder 'tuning' - for simple parameterisations via 'tuning_cluster_ALL_CV_BT.ipynb' and for the others via 'run_generalized_tuning_from_bash_crossval.py', 'run_generalized_tuning_script.sh', 'group_CV_parameters.ipynb', 'group_BT_parameters.ipynb' <strong>nemo_5km_OPM0*</strong>: 'thermal_forcing_term_for_linreg_corrected_oneFRIS.nc', contains the term used for the tuning through linear regression of the simple parameterisations<br> =&gt; produced via 'prepare_2D_thermal_forcing_simple.ipynb' and 'prepare_1D_thermal_forcing_term_simple_for_linreg.ipynb' <strong>NEMO_eORCA025.L121_OPM*_ANT_STEREO/ </strong>(<em>from INTERIM_geometry_interp_OPM0*.zip</em>): for each NEMO run, <strong>corrected_draft_bathy_isf.nc</strong>: file containing ice draft and bathymetry corrected by ice draft concentration to account for the biased draft and bathymetry at the grounding line resulting from the interpolation from the native NEMO grid to the stereographic grid (values under ice shelf and NaNs over land<br> =&gt; produced in 'data_formatting/custom_lsmask.ipynb' <strong>custom_lsmask_Ant_stereo_clean.nc</strong>: land-sea mask giving 0 = ocean, 1 = shelf, 2 = land<br> =&gt; produced in 'data_formatting/custom_lsmask.ipynb' <strong>isfdraft_conc_Ant_stereo.nc</strong>: ice-shelf concentration resulting from the interpolation from the native NEMO grid to the stereographic grid<br> =&gt; produced in 'data_formatting/custom_lsmask.ipynb' <strong>other_mask_vars_Ant_stereo.nc</strong>: contains other variables used for the masks<br> =&gt; produced in 'data_formatting/custom_lsmask.ipynb' <strong>T_S_PROF/ </strong>(<em>from INTERIM_T_S_PROF.zip</em>) <strong>dutrieux_2014</strong>/: observational estimates temperature and salinity profiles for Pine Island Ice Shelf in one netcdf<br> =&gt; produced in 'pre_processing/T_S_profiles_Dutrieux14.ipynb' <strong>info_chunks.txt</strong>: contains corresponding NEMO run and start and end year for each time block used in cross-validation <strong>T_S_mean_prof_corrected_km_contshelf_and_offshore_1980-2018_oneFRIS.nc</strong> for each NEMO run, which contains temperature and salinity profiles averaged over 5 different regions in front of each ice shelf<br> =&gt; produced in 'pre_processing/T_S_profile_formatting_with_conversion.ipynb' and 'pre_processing/T_S_profiles_front.ipynb' ===============<br> <strong>processed/MELT_RATE/</strong> <strong>BedMachine_for_comparison</strong> <em>(from PROCESSED_BedMachine_for_comparison.zip)</em>: contains 'melt_rates_PIGL_dutrieux_time_mean_pattern.nc', which is the mean melt pattern of the melt parameterised using Dutrieux2014 observational temperature and salinity estimates<br> =&gt; produced in 'apply_params/apply_param_PIGL_dutrieux_BedMachine.ipynb' <strong>nemo_5km_OPM*</strong> <em>(from PROCESSED_nemo_5km_OPM0*.zip)</em>: for each NEMO run <strong>eval_metrics_1D*.nc</strong> : files containing 'melt_1D_Gt_per_y' and 'melt_1D_mean_myr_box1' for all parameterisations using parameters from the cross-validation over shelves (CVshelves), the cross-validation over time (CVtime), the original parameters (orig), and from Favier et al. 2019 (favier) and Jourdain et al. 2020 (lipscomb)<br> =&gt; produced in 'apply_params/evalmetrics_results_CV.ipynb' <strong>diff_melt_param_ref_box1_*.nc</strong>: files containing the difference between parameterised and reference melt in box1 for each point to create the left panel of Fig. F1<br> =&gt; produced in 'apply_pointbypointRMSE_box1_forFigF1.ipynb' <strong>melt_rates_1D_NEMO_oneFRIS.nc</strong>, <strong>melt_rates_2D_NEMO.nc</strong>,<strong> melt_rates_box1_NEMO_oneFRIS.nc</strong>: reference melt rates and integrated melt<br> =&gt; produced in 'prepare_reference_melt_file.ipynb' <em>additionally, only in nemo_5km_OPM021:</em> <strong>melt_rates_2D_NEMO_timmean.nc</strong>, <strong>melt_rates_2D_boxes_timmean_oneFRIS.nc</strong>, <strong>melt_rates_2D_plumes_timmean_oneFRIS.nc</strong>, <strong>melt_rates_2D_simple_timmean_oneFRIS.nc</strong>: files containing mean patterns used in Fig. 5 and Fig.<br> =&gt; produced in 'prepare_data_Figures_5_6.ipynb' ===============<br> <strong>ATTENTION! EXTERNAL DATA NOT CONTAINED IN THIS REPOSITORY:</strong> Observational estimates of melt rates for Pine Island Ice Shelf (from Shean et al., 2019, for Fig. 8a)<br> =&gt; This data is currently available upon request from D. Shean and will be soon made open access as well. The DOI will be shared here at that point BedMachine data used for Figure 8: It is BedMachine v2 (Morlighem, 2020) and can be found here: https://nsidc.org/data/nsidc-0756/versions/2. World Ocean Atlas data for comparisons in Appendix B. The data was downloaded here: https://www.ncei.noaa.gov/access/world-ocean-atlas-2018/bin/woa18.pl. It was then interpolated to the eORCA025 grid and converted to conservative temperature with TEOS10. ===================== The explanation around the scripts can be found in README.rst with the scripts in <strong>SCRIPTS.zip</strong>.<br> <em>Note that these are the scripts needed to produce the results in the paper. You can also find them on Github: https://github.com/ClimateClara/scripts_paper_assessment_basal_melt_param</em>, <em>find the most up-to-date version of the package 'multimelt' here: https://github.com/ClimateClara/multimelt and a version you can install via pip here: https://pypi.org/project/multimelt/ </em> Finally, if anything is unclear, check out the ""Methods"" section of the paper: https://doi.org/10.5194/tc-2022-32",mds,True,findable,0,0,0,0,0,2022-11-16T19:10:14.000Z,2022-11-16T19:10:14.000Z,cern.zenodo,cern,"Antarctica,Ice shelves,Basal melt parameterisation","[{'subject': 'Antarctica'}, {'subject': 'Ice shelves'}, {'subject': 'Basal melt parameterisation'}]",,
-10.17178/emaa_para-(13c)c2h2_rotation_62296b37,Rotation excitation of para-c-[13C]C2H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",42 rotation energy levels / 86 radiative transitions / 861 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 861 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:03.000Z,2023-12-07T15:52:04.000Z,inist.osug,jbru,"target para-c-[13C]C2H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-c-[13C]C2H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.840877,FAU-Inf2/treedifferencing: Version of the ASE Publication 2016,Zenodo,2017,,Software,Open Access,No description provided.,mds,True,findable,0,0,1,0,0,2017-08-09T16:29:25.000Z,2017-08-09T16:29:26.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4972594,"DeepOrchidSeries: A Sentinel-2 Dataset to inform convolutional SDMs with twelve-month Sentinel-2 image time-series, Orchid family",Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Deep Species Distribution Modelling from Sentinel-2 Image Time-series: a Global Scale Analysis on the Orchid Family</strong> <strong><em>DeepOrchidSeries</em></strong> dataset gathers Sentinel-2 image time-series around geolocated orchid occurrences. Seasonal evolutions of the habitats are captured in the twelve-month RGB/IR time-series with 640x640m spatial resolution. It allows novel Species Distribution Models (SDMs) coupled with convolutional networks to take advantage of both spatial and temporal information. Our <strong>associated article</strong> is describing the modeling choices made to shape this ambitious dataset. It is submitted to https://www.frontiersin.org/research-topics/18336/plant-biodiversity-science-in-the-era-of-artificial-intelligence. We believe such global data, methods and scripts are valuable to the conservation ecology community and especially deep-SDMs users. To our knowledge, no similar ready-to-use dataset is available. In the article, the dataset's temporal dimension is proven to significantly improve SDMs performances. <strong><em>sen2patch</em></strong> is the gitlab project gathering the code to create such dataset. It is available at https://gitlab.inria.fr/jestopin/sen2patch. <strong><em>DeepOrchidSeries.csv</em></strong> contains all occurrences-level information. We advice to load it with: <pre><code class=""language-python"">import pandas as pd df = pd.read_csv(""path/to/DeepOrchidSeries.csv"", sep=';') df.columns ['gbifid', 'canonical_name', 'decimallatitude', 'decimallongitude', 'speciesKey', 'cell_index', 'bot_country', 'bot_code', 'lvl2_code', 'continent_code']</code></pre> 'gbifid' is the occurrences GBIF ID 'canonical_name', is the species canonical name 'decimallatitude', 'decimallongitude' are the species coordinates in decimal degrees 'speciesKey' is the species GBIF unique identifier 'cell_index' is a unique cell ID in a 0.0025Â° lon/lat grid partitioning the Earth (used to stratify train/val/test set by geographic blocks) 'bot_country', 'bot_code', 'lvl2_code', 'continent_code' are geographic subdivisions defined in https://github.com/tdwg/wgsrpd (code and string for WGSRPD level 1, the botanical countries) Initial GBIF query DOI is https://doi.org/10.15468/dl.4bijtu (26 August 2019). <strong><em>DeepOrchidSeries.tar</em></strong> file contains the satellite image time-series and is available at https://lab.plantnet.org/deeporchidseries/ <em>.tar</em> archive measure 286 GB and extends to 432 GB once decompressed. Image time-series relative tree paths are constructed from the occurrences unique GBIF IDs. For a given occurence <em>gbifid</em>, matching patches are located in: <em>final_dataset_by_gbifid/gbifid[-2:]/gbifid[-4:-2]</em>, <em>i.e.</em> in a first folder named with the <em>gbifid</em> last two numbers and a subfolder with the previous two ones. Example: the time-series files matching occurrence 2236837714 are located at <em>final_dataset_by_gbifid/14/77/</em>. Image time-series are composed of twelve 16 bits RGB <em>.png</em> and twelve 16 bits IR <em>.png</em> files containing data identical to the original L1C products, no lossy compression was made. There are one RGB and one IR .png file per month. Patches from month MM/YYYY of occurrence <em>gbifid</em> are named<em> </em><em>RGB_YYYY_MM_gbifid_.png</em> and <em>IR0_YYYY_MM_gbifid_.png</em>. <em><strong>models.zip</strong></em> is the archive containing the four PyTorch models weights described in our article and<strong><em> </em></strong><em><strong>inception_env.py</strong></em> the used Inception V3 architecture. <em><strong>index.json</strong></em> contains the dictionnary linking the models class indexes from 0 to 14128 with our labels <em>speciesKey</em>: {""class_index"":speciesKey}. <strong>ACKNOWLEDGMENTS</strong>: We warmly thank Alexander Zizka et al. for providing us the geographically and taxonomically curated set of Orchids occurrences. This dataset contains modified Copernicus Sentinel data and Copernicus Service information (2018). Sentinel-2 MSI data used were available at no cost from ESA Sentinels Scientific Data Hub.",mds,True,findable,0,0,0,0,0,2021-12-17T18:08:57.000Z,2021-12-17T18:08:59.000Z,cern.zenodo,cern,"Species Distribution Models,Deep Learning,Satellite Image Time-series,Sentinel-2 ESA mission,Environmental context,Predictive data,Deep-SDMs,Inception v3,Convolutional Neural Networks,Remote Sensing,Spaceborne Ecology","[{'subject': 'Species Distribution Models'}, {'subject': 'Deep Learning'}, {'subject': 'Satellite Image Time-series'}, {'subject': 'Sentinel-2 ESA mission'}, {'subject': 'Environmental context'}, {'subject': 'Predictive data'}, {'subject': 'Deep-SDMs'}, {'subject': 'Inception v3'}, {'subject': 'Convolutional Neural Networks'}, {'subject': 'Remote Sensing'}, {'subject': 'Spaceborne Ecology'}]",,
-10.5281/zenodo.10276480,Bathymetry of Bossons Lake of 26 June 2023,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,Bathymetry of the Bossons lake done the 26 June 2023.Â ,api,True,findable,0,0,0,0,1,2023-12-06T10:42:06.000Z,2023-12-06T10:42:07.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_lb_20170731_003,"Raw, normalized and baseline-corrected of MIR transmission spectra of GRA95229 matrix grains pressed on diamonds under vacuum at ambiant temperature and 300C",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","MIR spectra of several matrix grains of GRA95229 at different temperature, under vacuum",mds,True,findable,0,0,0,0,0,2021-05-02T05:48:00.000Z,2021-05-02T05:48:01.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix GRA95229 heated at 300Â°C,physically adsorbed phase,adsorbed water,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix GRA95229 heated at 300Â°C'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['10 spectra'],['ASCII']
-10.5281/zenodo.6078514,Earthquake Archaeological Effects documented in the Cusco area in 2019 (RISC project),Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","In 2019, the RISC project led to the implementation of an unprecedented archaeoseismological survey in the Cusco area, Peru. The main objective was to identify and map the earthquake-induced damage on the stone architecture of famous Inca archaeological sites. This spreadsheet summarizes all the observations. Each row corresponds to an Earthquake Archaeological Effect (EAE). For each strain structure, the columns contain information relative to the geographical and architectural contexts, the measurements and the level of confidence. The data were extracted from the RISC database, which supported the fieldwork. For more details about the design and structure of the RISC database please read: Combey et al. (2021) Monumental Inca remains and past seismic disasters: A relational database to support archaeoseismological investigations and cultural heritage preservation in the Andes, Journal of South American Earth Sciences, Volume 111, 103447,<br> https://doi.org/10.1016/j.jsames.2021.103447. The file is in support of the paper submitted to Quaternary International.",mds,True,findable,0,0,0,0,0,2022-07-10T10:37:48.000Z,2022-07-10T10:37:49.000Z,cern.zenodo,cern,"Archaeoseismology,Earthquake damage,Seismic Hazard,Cusco,Inca","[{'subject': 'Archaeoseismology'}, {'subject': 'Earthquake damage'}, {'subject': 'Seismic Hazard'}, {'subject': 'Cusco'}, {'subject': 'Inca'}]",,
-10.5281/zenodo.6319386,Structural Basis for the Inhibition of IAPP Fibril Formation by the Co-Chaperonin Prefoldin - Experimental Data,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Experimental data (EM, AFM, BLI, ThT and Cell viability assays, as well as docking models) used for the study : <strong>Structural Basis for the Inhibition of IAPP Fibril Formation by the </strong><strong>Co-Chaperonin Prefoldin</strong> by Ricarda TÃ¶rner, Tatsiana Kupreichyk, Lothar Gremer, Elisa Colas Debled, Daphna Fenel, Sarah Schemmert, Pierre Gans<sub>, </sub>Dieter Willbold, Guy Schoehn, Wolfgang Hoyer, Jerome Boisbouvier",mds,True,findable,0,0,0,0,0,2022-03-01T08:03:24.000Z,2022-03-01T08:03:25.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.12991753,Additional file 1 of Association between Neu5Gc carbohydrate and serum antibodies against it provides the molecular link to cancer: French NutriNet-SantÃ© study,figshare,2020,,Text,Creative Commons Attribution 4.0 International,"Additional file 1: Figure S1. Measurements of anti-Neu5Gc IgG in 120 study cohort by ELISA. Figure S2. Distribution of Neu5Gc intake by food source. Figure S3. Increased levels and diversity of anti-Neu5Gc IgG with higher Neu5Gc intake. Figure S4. Anti-Neu5Gc IgG response in patients with infectious mononucleosis and controls. Figure S5. Characteristics of affinity-purified anti-Neu5Gc antibodies of women 45-60. Figure S6. International cancer risk according to national meat intake. Table S1. Sialic acid content (Neu5Ac and Neu5Gc) in common French food items measured by DMB-HPLC. Table S2. Daily Neu5Gc intake in NutriNet-SantÃ© participants (May 2009 through May 2015) with a minimum of six 24-hour dietary records (total 16,149 participants). Table S3. List of glycans printed on glycan microarray and their characteristics. Table S4. Gcemic index.",mds,True,findable,0,0,0,1,0,2020-09-23T03:27:32.000Z,2020-09-23T03:27:39.000Z,figshare.ars,otjm,"Biochemistry,Neuroscience,Physiology,FOS: Biological sciences,Biotechnology,Chemical Sciences not elsewhere classified,Ecology,Immunology,FOS: Clinical medicine,Mathematical Sciences not elsewhere classified,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Biochemistry'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1295476 Bytes'],
-10.5281/zenodo.6974319,Dataset - Warming-induced monsoon precipitation phase change intensifies glacier mass loss in the southeastern Tibetan Plateau,Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Materials and data results needed to reproduce the findings of the study published in (PNAS) Proceedings of the National Academy of Sciences of the United States of America: ""<em>Warming-induced monsoon precipitation phase change intensifies glacier mass loss in the southeastern Tibetan Plateau""</em>. A. Jouberton, T. E. Shaw, E. Miles, M. McCarthy, S. Fugger, S. Ren, A. Dehecq, W. Yang and F. Pellicciotti It includes the meteorological forcing time-series, an exhaustive list of the model parameters, the outputs of TOPKAPI-ETH, and Matlab scripts allowing to reproduce the figures and compute the numbers given in the main manuscript as well as in the Supplementary Information. --------------- <strong>Contents</strong> : Folder : ""Matlab_scripts""<br> '<strong>Climate_import.m</strong>' : Organizes meteorological forcing and generates Figure S9<br> <strong> 'TOPKAPI_result_import.m' :</strong> Imports TOPKAPI's reference run outputs and prepares them for analysis<br> <strong> 'Experiment_analysis.m' : </strong>Analyses the results of the forcing experiments, generates Figure 4 and Figure S25<br> <strong> 'Main_text_results.m' : </strong>Analyses the results of TOPKAPI's reference runs, generates Figure 1D, FIgure 2 and Figure 3<br> <strong> 'TOPKAPI_validation.m' : </strong>Compares TOPKAPI's reference run results with several validation datasets, generates the figures and performance metrics of the model calibration and validation procedure.<br> <strong> 'Parlung_albedo_regional_analysis.m'</strong>: Computes the mean glacier albedo per elevation band for each glacier within the Southeastern Tibean Plateau and compares it to the albedo of Parlung No.4 glacier.<br> <strong> 'Parlung_GMB_regional_analysis.m'</strong>: Computes the mean glacier mass balance per elevation band for each glacier within the Southeastern Tibean Plateau and compares it to the glacier mass balance of Parlung No.4 glacier.<br> <strong> 'Precipitation_phase_sensitivity_analysis.m'</strong>: Performs a sensitivity analysis on the simulated monsoon snowfall ratio per elevation band and on the attribution of glacier mass loss to precipitation<br> phase change using Monte Carlo simulations.<br> <strong> 'TOPKAPI_MODIS_validation.m'</strong>: Compares the snow cover at Parlung No.4 catchment simulated by TOPKAPI-ETH and observed by MODIS, generates Figure S19. Folder : ""Remote_sensing"" : Sub-Folder: 'Hugonnet' = Glacier mass balance averaged over 2000-2020 covering the Southeastern Tibetan Plateau, 100m resolution, derived from Hugonnet et al. 2021<br> Sub-Folder: 'MODIS' = contains the snow cover at Parlung No.4 derived from the daily product MOD10A1 version 61, for the period 2000-2018<br> Sub-Folder: 'Regional_glacier_albedo' = contains the annual glacier surface albedo from 2000 to 2020, covering the Southeastern Tibetan Plateau, 500m resolution.<br> Sub-Folder: 'Shapefiles' = contains the Parlung No.4 glacier outlines in 1974 and from the RGI 6.0<br> <strong>'ASTER_Nyainqentanglha_15m_utm.tif'</strong> = ASTER Digital elevation model at 15m resolution covering the Southeastern Tibetan Plateau<br> <strong> 'parlung_mask_1974.mat' </strong>= Parlung No.4 glacier mask as a matlab file<br> <strong> 'dh_ASTER_SRTM_30m.tif' </strong>= Mean elevation change rate from 2000 to 2016 at Parlung No.4 catchment.<br> <strong> 'Geodetic_map.mat'</strong> = Elevation change maps for the periods 1974-2000 and 1974-2014, as a matlab file<br> <strong> 'GMB_geodetic.mat' </strong>= Geodetic mass balance (glacier-wide mean and profile per elevation band) used in Figure S13<br> <strong> 'parlung_30m_catchment_mask.tif'</strong> = Parlung No.4 catchment mask<br> <strong>'parlung_1974_30m_dem.tif' </strong>= DEM of Parlung No.4 catchment, 30 m resolution<br> <strong> 'parlung_1974_30m_gla.tif'</strong> = Parlung No. 4 glacier mask, 30m resolution<br> <strong>'parlung_1974_30m_glah.tif' </strong>= Reconstructed ice thickness of 1975 for Parlung No.4 glacier<br> <strong>'parlung_1974_2000_diff_24m.tif' </strong>= Elevation change from DEM differencing at Parlung No.4 catchment for 1974-2000<br> <strong> 'parlung_1974_2014_diff_24m.tif' </strong>= Elevation change from DEM differencing at Parlung No.4 catchment for 1974-2014<br> <strong> 'Parlung_1974_bedrock_dem_30m.tif' </strong>= Bedrock surface digital elevation model of the catchment, 30m spatial resolution<br> <strong>'RGI_KangriKarpo_100m_utm_id.tif' </strong>= Glacier mask covering the Kangri Karpo mountain region, 100m resolution, with glacier IDs in the attribute table<br> <strong> 'RGI_Nyainqentanglha_100m_utm_id.tif' </strong>= = Glacier mask covering the Southeastern Tibetan Plateau, 100m resolution, with glacier IDs in the attribute table Folder : ""TOPKAPI_forcing"" :<br> <strong> CCT_AWS4600_extended.csv : </strong>Hourly cloud cover transmissivity from 1975 to 2018 reconstructed at AWSoff location <br> <strong> Climate.mat : </strong>Organizes meteorological forcings, output from the matlab script '<strong>Climate_import.m</strong>'<br> <strong> LR_AWS4600_extended.csv :</strong> Hourly temperature lapse-rates from 1975 to 2018 reconstructed at AWSoff location <br> <strong> Precipitation_AWS4600_extended.csv : </strong>Hourly precipitation from 1975 to 2018 reconstructed at AWSoff location <br> <strong> Ta_AWS4600_extended.csv :</strong> Hourly air temperature from 1975 to 2018 reconstructed at AWSoff location<br> Sub-Folder: 'National_meteorological_stations' = Contains the daily air temperature and precipitation measured at the national meteorological stations of Bomi, Zayu, Zuogong and Basu<br> Sub-Folder: 'Reference_run_inputs' = Contains the input files necessary to run TOPKAPI-ETH to obtain the outputs from which the results of this study are based on. Folder : ""TOPKAPI_output"":<br> <strong> </strong> Sub-Folder : ""Forcing experiment"" = organized TOPKAPI outputs from the forcing experiment<br> Sub-Folder :"" Reference_run_outputs"" = raw TOPKAPI outputs from the reference run (catchment average, spatial and grid cells)<br> Sub-Folder : ""Reference_run_results"" = organized TOPKAPI outputs from the reference run<br> Sub-Folder : ""Snow_ice_cover"" = contains TOPKAPI-ETH derived snow cover maps (daily map outputs)<br> Sub-Folder : ""Regional_analysis"" =<br> 'Alb'= Table containing the mean glacier albedo (2000-2020) per normalized elevation band, for each glacier in the SETP (RGI 6.0)<br> 'GMB'= Table containing the mean glacier mass balance (2000-2020) per normalized elevation band, for each glacier in the SETP (RGI 6.0)<br> 'Hypso_xxm' = Table containing the percentage of glacier area per normalized elevation band, for each glacier in the SETP (RGI 6.0), resolution of 100/500m<br> 'NormEl_100m' = Table containing the elevation per normalized elevation band, for each glacier in the SETP (RGI 6.0), resolution of 100/500m<br> Sub-Folder : ""Semi_distributed_outputs"" = Precipitation phase and amounts resulting from TOPKAPI-ETH simulation per elevation band, for the reference run and for the Monte Carlo sensitivity analysis Folder : ""Validation_data""<br> <strong> 'topkapi.out_reference_discharge2016' </strong>= <strong> </strong>raw TOPKAPI outputs run in 2016 with AWSoff air temperature<br> <strong> </strong><strong> 'master_file_parlung.mat' </strong>=<strong> </strong>matlab structure containing AWS measurements, necessary for running <strong>'TOPKAPI_validation.m'</strong><br> <strong> 'Qdigit.mat' </strong>= Discharge measured at the Parlung No.4 glacier outlet, from Li et al., (2016)<br> <strong> 'Parlung_Q_1970.mat'</strong> = 'Discharge time-series used to run TOPKAPI-ETH (goes back to 1975, but filled with 0 when no measurements are available) In order to run the Matlab scripts, it is recommended to download all folders and gather them into the same folder. Any request about data or questions on how to run the Matlab scripts can be asked to the author of the paper (at achille.jouberton@wsl.ch).",mds,True,findable,0,0,0,0,0,2022-08-08T21:27:07.000Z,2022-08-08T21:27:07.000Z,cern.zenodo,cern,"climate change, glaciers, hydrological modeling, precipitation phase change","[{'subject': 'climate change, glaciers, hydrological modeling, precipitation phase change'}]",,
-10.5061/dryad.j6q573n7x,Continued adaptation of C4 photosynthesis after an initial burst of changes in the Andropogoneae grasses,Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"C4 photosynthesis is a complex trait that sustains fast growth and high productivity in tropical and subtropical conditions and evolved repeatedly in flowering plants. One of the major C4 lineages is Andropogoneae, a group of ~ 1,200 grass species that includes some of the world's most important crops and species dominating tropical and some temperate grasslands. Previous efforts to understand C4 evolution in the group have compared a few model C4 plants to distantly related C3 species, so that changes directly responsible for the transition to C4 could not be distinguished from those that preceded or followed it. In this study, we analyse the genomes of 66 grass species, capturing the earliest diversification within Andropogoneae as well as their C3 relatives. Phylogenomics combined with molecular dating and analyses of protein evolution show that many changes linked to the evolution of C4 photosynthesis in Andropogoneae happened in the Early Miocene, between 21 and 18 Ma, after the split from its C3 sister lineage, and before the diversification of the group. This initial burst of changes was followed by an extended period of modifications to leaf anatomy and biochemistry during the diversification of Andropogoneae, so that a single C4 origin gave birth to a diversity of C4 phenotypes during 18 million years of speciation events and migration across geographic and ecological spaces. Our comprehensive approach and broad sampling of the diversity in the group reveals that one key transition can lead to a plethora of phenotypes following sustained adaptation of the ancestral state.",mds,True,findable,396,71,0,1,0,2019-10-11T12:58:01.000Z,2019-10-11T12:58:02.000Z,dryad.dryad,dryad,"adaptive evolution,Herbarium Genomics,Jansenelleae,leaf anatomy","[{'subject': 'adaptive evolution'}, {'subject': 'Herbarium Genomics'}, {'subject': 'Jansenelleae'}, {'subject': 'leaf anatomy'}]",['5579649 bytes'],
-10.5281/zenodo.5062314,"Data for paper ""Parametric analyses of attack-fault trees""",Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This is the dataset for paper ""Parametric analyses of attack-fault trees"" published in the proceedings of the 19th International Conference on Application of Concurrency to System Design (ACSD 2019).",mds,True,findable,0,0,0,0,0,2021-07-02T16:08:16.000Z,2021-07-02T16:08:17.000Z,cern.zenodo,cern,"attack trees,model checking,parametric timed model checking,timed automata,parametric timed automata,IMITATOR","[{'subject': 'attack trees'}, {'subject': 'model checking'}, {'subject': 'parametric timed model checking'}, {'subject': 'timed automata'}, {'subject': 'parametric timed automata'}, {'subject': 'IMITATOR'}]",,
-10.6084/m9.figshare.c.6842762,Non-ventilator-associated ICU-acquired pneumonia (NV-ICU-AP) in patients with acute exacerbation of COPD: From the French OUTCOMEREA cohort,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Non-ventilator-associated ICU-acquired pneumonia (NV-ICU-AP), a nosocomial pneumonia that is not related to invasive mechanical ventilation (IMV), has been less studied than ventilator-associated pneumonia, and never in the context of patients in an ICU for severe acute exacerbation of chronic obstructive pulmonary disease (AECOPD), a common cause of ICU admission. This study aimed to determine the factors associated with NV-ICU-AP occurrence and assess the association between NV-ICU-AP and the outcomes of these patients. Methods Data were extracted from the French ICU database, OutcomeReaâ„¢. Using survival analyses with competing risk management, we sought the factors associated with the occurrence of NV-ICU-AP. Then we assessed the association between NV-ICU-AP and mortality, intubation rates, and length of stay in the ICU. Results Of the 844 COPD exacerbations managed in ICUs without immediate IMV, NV-ICU-AP occurred in 42 patients (5%) with an incidence density of 10.8 per 1,000 patient-days. In multivariate analysis, prescription of antibiotics at ICU admission (sHR, 0.45 [0.23; 0.86], p = 0.02) and no decrease in consciousness (sHR, 0.35 [0.16; 0.76]; p &lt; 0.01) were associated with a lower risk of NV-ICU-AP. After adjusting for confounders, NV-ICU-AP was associated with increased 28-day mortality (HR = 3.03 [1.36; 6.73]; p &lt; 0.01), an increased risk of intubation (csHR, 5.00 [2.54; 9.85]; p &lt; 0.01) and with a 10-day increase in ICU length of stay (p &lt; 0.01). Conclusion We found that NV-ICU-AP incidence reached 10.8/1000 patient-days and was associated with increased risks of intubation, 28-day mortality, and longer stay for patients admitted with AECOPD.",mds,True,findable,0,0,0,0,0,2023-09-20T03:22:51.000Z,2023-09-20T03:22:51.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Genetics,Molecular Biology,Neuroscience,Biotechnology,Evolutionary Biology,Immunology,FOS: Clinical medicine,Cancer,Science Policy,Virology","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Genetics'}, {'subject': 'Molecular Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Evolutionary Biology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Virology'}]",,
-10.26302/sshade/experiment_bs_20130103_003,NIR optical constant spectra of CH4 in solid solution in alpha and beta-N2 phases at 5 different temperatures (35K - 43K),SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","NIR optical constant spectra of CH4 in solid solution in two N2 ice phases: Beta-N2 phases at 43, 41, 38 and 36.5K. Changed to alpha-N2 phase at 35K",mds,True,findable,0,0,0,0,0,2021-05-02T05:52:15.000Z,2021-05-02T05:52:16.000Z,inist.sshade,mgeg,"laboratory,solid molecular mixture,CH4:N2 crystalline solid solution - beta phase,CH4:N2 crystalline solid solution - alpha phase,laboratory measurement,transmission,macroscopic,NIR,Near-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'solid molecular mixture'}, {'subject': 'CH4:N2 crystalline solid solution - beta phase'}, {'subject': 'CH4:N2 crystalline solid solution - alpha phase'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'optical constants'}]",['5 spectra'],['ASCII']
-10.26302/sshade/experiment_dt_20180117_002,Cu K edge XAS transmission of Cu metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T07:51:36.000Z,2019-11-16T07:51:36.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Cu,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Cu'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.8388918,Sources et modÃ¨les citÃ©s dans le manuscrit de thÃ¨se,Zenodo,2023,,Other,"Creative Commons Attribution 4.0 International,Open Access","Contient : yamass-src : le code du simulateur. model-checking : les modÃ¨les utilisÃ©s pour la vÃ©rification par modÃ¨le du systÃ¨me de l'infrastructure Ã  clefs publiques. maki-src : le code du systÃ¨me de l'infrastructure Ã  clefs publique, exÃ©cutÃ©e dans le simulateur. blockain-src : le code du prototype de Blockchain, exÃ©cutÃ©e dans le simulateur.",mds,True,findable,0,0,0,0,0,2023-09-29T09:00:58.000Z,2023-09-29T09:00:58.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.6272697,Synchronization of small-scale seismic clusters reveals large-scale plate deformation,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract It has long been observed that periods of intense seismic activity in a region alternate with periods of relative quiescence, but establishing whether or not this intermittency is driven by broad-scale physical processes occurring in the Earth, remains a challenge. Here, we address this question of long-range triggering by a large-scale analysis of evolution of the seismicity between 2003 and 2017 in the Anatolia region. Two multi-year periods of synchronous high seismicity rate in 27 seismicity clusters across the Anatolian plate are evidenced before a relatively uniform quiescence period. We argue that two remote tectonic processes are important for the timing of these activities: the 2004 M9.2 Sumatra earthquake and the 2008â€“2011 episode of slab rollback/deformation in the Hellenic subduction, even if a clear causal mechanism is still lacking. Graphical Abstract",mds,True,findable,0,0,0,0,0,2022-10-30T04:22:22.000Z,2022-10-30T04:22:22.000Z,figshare.ars,otjm,"Geology,FOS: Earth and related environmental sciences","[{'subject': 'Geology'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.25914/604eb7628b4e7,High-Resolution Modelling of Extreme Storms over the East Coast of Australia v1.0,NCI Australia,2021,,Dataset,,,fabricaForm,True,findable,0,0,0,0,0,2021-03-15T01:24:51.000Z,2021-03-15T01:24:53.000Z,ardcx.nci,nci,,,,
-10.5061/dryad.2fqz612m4,Sequencing data from: High levels of primary biogenic organic aerosols are driven by only a few plant-associated microbial taxa,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Primary biogenic organic aerosols (PBOA) represent a major fraction of coarse organic matter (OM) in air. Despite their implication in many atmospheric processes and human health problems, we surprisingly know little about PBOA characteristics (i.e., composition, dominant sources, and contribution to airborne-particles). In addition, specific primary sugar compounds (SCs) are generally used as markers of PBOA associated with bacteria and fungi but our knowledge of microbial communities associated with atmospheric particulate matter (PM) remains incomplete. This work aimed at providing a comprehensive understanding of the microbial fingerprints associated with SCs in PM10 (particles smaller than 10Âµm) and their main sources in the surrounding environment (soils and vegetation). An intensive study was conducted on PM10 collected at rural background site located in an agricultural area in France. We combined high-throughput sequencing of bacteria and fungi with detailed physicochemical characterization of PM10, soils and plant samples, and monitored meteorology and agricultural activities throughout the sampling period. Results shows that in summer SCs in PM10 are a major contributor of OM in air, representing 0.8 to 13.5% of OM mass. SCs concentrations are clearly determined by the abundance of only a few specific airborne fungi and bacteria taxa. The temporal fluctuations in the abundance of only 4 predominant fungal genera, namely Cladosporium, Alternaria, Sporobolomyces and Dioszegia reflect the temporal dynamics in SC concentrations. Among bacteria taxa, the abundance of only Massilia, Pseudomonas, Frigoribacterium and Sphingomonas are positively correlated with SC species. These microbial are significantly enhanced in leaf over soil samples. Interestingly, the overall community structure of bacteria and fungi are similar within PM10 and leaf samples and significantly distinct between PM10 and soil samples, indicating that surrounding vegetation are the major source of SC-associated microbial taxa in PM10 on rural area of France.",mds,True,findable,169,17,0,0,0,2020-04-22T17:41:32.000Z,2020-04-22T17:41:33.000Z,dryad.dryad,dryad,,,['328527 bytes'],
-10.17178/emaa_para-h2(34s)_rotation_52d67276,Rotation excitation of para-H2[34S] by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",19 rotation energy levels / 44 radiative transitions / 171 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K) / 171 collisional transitions for para-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:12.000Z,2023-12-07T15:52:13.000Z,inist.osug,jbru,"target para-H2[34S],excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-H2[34S]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/gnss.products.southamerica_gipsyx.daily,Metadata and GNSS daily position solutions for permanent GNSS stations in South America,"CNRS, OSUG, ISTERRE",2023,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)"". 
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes metadata, as well as daily position solutions for a large number (&gt;700) of permanent GNSS stations in South America. These data were processed by ISTerre in the frame of the DEEP-trigger project. The products are daily position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the PPP strategy with GIPSYX software.",mds,True,findable,0,0,0,0,0,2023-04-08T13:17:57.000Z,2023-04-08T13:18:03.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.6084/m9.figshare.13323649,Additional file 1 of Impact of advance directives on the variability between intensivists in the decisions to forgo life-sustaining treatment,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Characteristics of the 8 patients who wrote advance directives (table).,mds,True,findable,0,0,33,1,0,2020-12-03T04:33:42.000Z,2020-12-03T04:33:47.000Z,figshare.ars,otjm,"Cell Biology,Biotechnology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['36258 Bytes'],
-10.17178/emaa_hco-plus_rotation_a861ef7a,"Rotation excitation of HCO+ by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",22 rotation energy levels / 21 radiative transitions / 132 collisional transitions for electron (12 temperatures in the range 10-1000K) / 231 collisional transitions for ortho-H2 (9 temperatures in the range 10-200K) / 231 collisional transitions for para-H2 (9 temperatures in the range 10-200K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:08.000Z,2021-11-18T13:35:08.000Z,inist.osug,jbru,"target HCO+,excitationType Rotation,collisional excitation,collider.0 electron,collider.1 ortho-H2,collider.2 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HCO+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/emaa_ortho-c3h2_rotation_caf26a12,Rotation excitation of ortho-c-C3H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",50 rotation energy levels / 122 radiative transitions / 1225 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 1225 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:37.000Z,2023-12-07T15:51:37.000Z,inist.osug,jbru,"target ortho-c-C3H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-c-C3H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.4632426,drguigui/ATMOCIAD: The ATMOCIAD database,Zenodo,2021,,Software,Open Access,"AtMoCiad (Atomic and Molecular Cross section for Ionization and Aurora Database is a database dedicated, as indicated by its name, to the cross sections of ionization, excitation, and dissociation of atoms and molecules. The main objective is to have a comprehensive database to study aurora and airglow, hence the first species included are the main components of solar system planetary atmospheres.",mds,True,findable,0,0,1,0,0,2021-03-23T22:38:40.000Z,2021-03-23T22:38:41.000Z,cern.zenodo,cern,,,,
-10.17178/amma-catch.ce.veg_gh,"Vegetation dataset (seasonal dynamics of herbaceous vegetation), within the Hombori site (2500 km2), Mali","IRD, CNRS-INSU, OSUG, OMP, OREME",2005,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.","Quantification of seasonal dynamics of herbaceous vegetation and tree foliage on sites for which the long term dynamics is also monitored (see CL.VegHerb_G). The main objectives are to analyze the different processes that control primary production and degradation of vegetation and to test models (e.g, STEP).",mds,True,findable,0,0,1,0,0,2018-03-16T15:37:06.000Z,2018-03-16T15:37:06.000Z,inist.osug,jbru,"Seasonal vegetation dynamics, herbs, tree foliage, vegetation phenology,Sahelian/Saharan climate,Foliage Clumping Index,Leaf Area Index,Vegetation Cover Fraction (from hemispherical photos),Vegetation Cover Fraction (from standard photos),Direct Fraction Of Absorbed Photosynthetically Active Radiation,Aboveground Herbaceous Mass,Aboveground Herbaceous Mass Standard Deviation,Diffuse Fraction Of Absorbed Photosynthetically Active Radiation,Plant Area Index","[{'subject': 'Seasonal vegetation dynamics, herbs, tree foliage, vegetation phenology', 'subjectScheme': 'main'}, {'subject': 'Sahelian/Saharan climate', 'subjectScheme': 'main'}, {'subject': 'Foliage Clumping Index', 'subjectScheme': 'var'}, {'subject': 'Leaf Area Index', 'subjectScheme': 'var'}, {'subject': 'Vegetation Cover Fraction (from hemispherical photos)', 'subjectScheme': 'var'}, {'subject': 'Vegetation Cover Fraction (from standard photos)', 'subjectScheme': 'var'}, {'subject': 'Direct Fraction Of Absorbed Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Aboveground Herbaceous Mass', 'subjectScheme': 'var'}, {'subject': 'Aboveground Herbaceous Mass Standard Deviation', 'subjectScheme': 'var'}, {'subject': 'Diffuse Fraction Of Absorbed Photosynthetically Active Radiation', 'subjectScheme': 'var'}, {'subject': 'Plant Area Index', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.6084/m9.figshare.22625635,"Additional file 10 of A multicentre, patient- and assessor-blinded, non-inferiority, randomised and controlled phase II trial to compare standard and torque teno virus-guided immunosuppression in kidney transplant recipients in the first year after transplantation: TTVguideIT",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 10.,mds,True,findable,0,0,0,0,0,2023-04-13T18:56:10.000Z,2023-04-13T18:56:10.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['184741 Bytes'],
-10.6084/m9.figshare.c.6590285,"Individual and environmental determinants associated with longer times to access pediatric rheumatology centers for patients with juvenile idiopathic arthritis, a JIR cohort study",figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Despite guidelines, poor access to appropriate care for juvenile idiopathic arthritis (JIA) patients remains a global issue. Prompt referral to a pediatric rheumatology (PR) center and effective care is known to be critical for changing the natural history of the disease and improving long-term prognosis. This project assesses socio-economic factors of delayed referral to a pediatric rheumatologist (PRst) for JIA patients in France and Switzerland within the Juvenile Inflammatory Rheumatism (JIR) Cohort. Methods All patients diagnosed with JIA, presenting at one center of the JIRcohort in France or Switzerland with additional data on referral pathway were included. Patient characteristics at first visit to the PR center, dates of visits to healthcare providers during referral, and parent characteristics were extracted from the JIRcohort database. Results Two hundred fifty children were included. The overall median time to first PR assessment was 2.4 months [1.3; 6.9] and ranged widely across the JIA subtypes, from 1.4 months [0.6; 3.8] for children with systemic juvenile idiopathic arthritis (sJIA) to 5.3 months [2.0; 19.1] for children with enthesitis-related arthritis (ERA). A diagnosis of ERA and an appointment with an orthopedist during the referral pathway were significantly associated with a longer time before the first PR visit (hazard ratio HR 0.50 [95% CI: 0.29; 0.84]) and HR 0.68 [95% CI: 0.49; 0.93], respectively) in multivariable analysis. Having a mother with a post-graduate educational attainment level was tendentially associated with a shorter time before the first PR visit, (HR 1.32 [95% CI: 0.99; 1.78]). Conclusions Time to first PRst visit was most often short compared to other studies and close to the British recommendations. However, this time remained too long for many patients. We observed no social inequities in access to a PRst, but we show the need to improve effective pathway and access to a PR center for JIA patients.",mds,True,findable,0,0,0,0,0,2023-04-13T13:55:20.000Z,2023-04-13T13:55:20.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Ecology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",,
-10.5281/zenodo.5243352,Russian DBnary archive in original Lemon format,Zenodo,2021,ru,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Russian language edition, ranging from 3rd March 2013 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T11:44:17.000Z,2021-08-24T11:44:18.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.5281/zenodo.10423906,"Neuroimaging data related to the study: ""Dynamics of White Matter Architecture in Lexical Production among Middle-Aged Adults""",Zenodo,2024,en,Dataset,Creative Commons Attribution Non Commercial 4.0 International,"See the accompanying code repository
-
-Track-Weighted Imaging (TWI)
-
-
-
-TW_FA_Gaussian25_155subj.mif.gzÂ (dim 121 x 152 x 121 x 155):Â Track-Weighted Fractional Anisotropic images (TW-FA) generated with 25 mm neighborhood weighting (per-track smoothing) in template space.
-
-155subj_FA_map.mif.gzÂ (dim 128 x 128 x 88):Â Fractional Anistropic images (FA).
-
-wmfod_norm_up.mif.gz (dim 121 x 152 x 121 x 45): Study template derived from white matter fiber orientation distribution (FOD), normalized, and upsampled to 1.5 mm isotropic.
-
-SH_peaks_template.mif.gz (dim 121 x 152 x 121 x 9): Spherical Harmonics peaksÂ derived from the study template (used to generate TOM and TOM trackings with TractSeg).
-
-
-Non-Negative Matrix Factorization (NMF)
-
-
-
-W.mat & H.mat:Â Solutions from NMF. The optimal solution found for this study is the one with 16 networks (i.e., in the 8th position in the mat files as there is a 2-step increment between solutions).
-
-Network_Parcellation_NNMF.nii: 3D volume containing the part-based solution derived from NMF (i.e., 16 spatially non-overlapping networks of structurally covarying white matter areas).
-
-Network_Parcellation_NNMF_cluster.nii: IDEM but only considering clusters of at least 25 connected voxels within each network (used to compute the overlap with TractSeg bundles).
-
-
-BRAIN VISUALIZATION
-
-For figure 2:
-
-
-
-TW_FA_Gaussian25_155subj_mean_mesh.obj:Â White Matter Mesh derived from the mean image (used with the surfice software).
-
-NMF_age_networks_composition.xlsx:Â DatasetÂ containing the spatial, connectivity, and composite score used to determine the composition of each NMF-derived network.
-
-*_track_overlay.tck: The 6Â Tractography files to overlay onto the meshÂ for visualizating the bundles most contributing to the middle-age-related NMF networks.
-
-
-For figure 3 & 4:
-
-
-
-TW_FA_Gaussian25_155subj_mean.nii:Â Mean TW-FA image across all subjects.
-
-TW_FA_Gaussian25_155subj_mean_mask_95.nii:Â Binary group mask containing only the voxels that had a non-null TW-FA value across at least 95% of subjects.
-
-*LC1_BSR_saliences.nii & *LC2_BSR_saliences.nii:Â Voxel-level salience map of the 1st and 2nd latent component (unthresholded; please note that only BSR +/- 2.58 signified a robust contribution in our study).
-
-NNMF_BSR_LC1.nii:Â Network-level salience map.
-
-*res & save_opts.mat:Â Partial Least Squares (PLS) results and parameters.",api,True,findable,0,0,0,0,1,2024-02-09T11:30:32.000Z,2024-02-09T11:30:33.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_hds_rotation_d3b568cc,Rotation excitation of HDS by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",36 rotation energy levels / 155 radiative transitions / 630 collisional transitions for ortho-H2 (11 temperatures in the range 5-400K) / 630 collisional transitions for para-H2 (11 temperatures in the range 5-400K),mds,True,findable,0,0,0,0,0,2023-12-07T15:51:14.000Z,2023-12-07T15:51:14.000Z,inist.osug,jbru,"target HDS,excitationType Rotation,collisional excitation,collider.0 ortho-H2,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HDS', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.8390942,Dataset for: Multi-mode Heterodyne Laser Interferometry Realized via Software Defined Radio,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Repository of data plotted in figures for the journal publicationÂ ""Multi-mode Heterodyne Laser Interferometry Realized via Software Defined Radio"" (doi:Â 10.1364/OE.500077 ).
-
-
-Please see metadata file for details on individual data files.",api,True,findable,0,0,0,0,0,2023-12-18T12:45:11.000Z,2023-12-18T12:45:12.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_rc_20200616_001,"VIS reflectance spectra collected during electron irradiation experiments of salty ice particles (spherical, 67 Âµm average diameter) prepared by freezing solutions of NaCl with different concentrations.",SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Spherical salty ice particles are produced by spraying droplets of NaCl solutions into liquid nitrogen with the SPIPA-B setup and 9mm-thick samples are produced from this material. The samples are then introduced into the MEFISTO chamber, placed on a liquid nitrogen cooling plate, and the chamber is evacuated to high vacuum. The samples can then be bombarded with energetic electrons at different energies and fluxes and VIS hyperspectral images are collected.",mds,True,findable,0,0,0,0,0,2023-07-31T13:27:11.000Z,2023-07-31T13:27:11.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,reflectance factor,water ice,NaCl hydrate,laboratory,inorganic molecular solid,chloride","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'NaCl hydrate', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'chloride', 'subjectScheme': 'compound type'}]",['20 spectra'],['ASCII']
-10.26302/sshade/experiment_bs_20121217_001,"NIR bidirectional reflection spectra (i=0-70Â°/e=0-70Â°/az=180Â°) of Smectite STx-1 (2 Âµm grains) at 263K, Patm",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",NIR bidirectional reflection spectra (i=0-70Â°/e=0-70Â°/az=180Â°) of Smectite STx-1 (2Âµm grains) at 263K and ambient pressure,mds,True,findable,0,0,0,0,0,2019-12-29T08:50:06.000Z,2019-12-29T08:50:06.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Na-Montmorillonite,physically adsorbed phase,Adsorbed - Interlayer H2O,tektosilicate,Quartz,Plagioclase,Alkali Feldspars,carbonate,Calcite,Dolomite,Kaolinite,Chlorites,inosilicate,Clinopyroxenes,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-Montmorillonite'}, {'subject': 'physically adsorbed phase'}, {'subject': 'Adsorbed - Interlayer H2O'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'Plagioclase'}, {'subject': 'Alkali Feldspars'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'Dolomite'}, {'subject': 'Kaolinite'}, {'subject': 'Chlorites'}, {'subject': 'inosilicate'}, {'subject': 'Clinopyroxenes'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.7813697,Design of a triaxial compression cell for x-ray tomography,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"This repository contains the technical drawings of the triaxial compression setup developed and used in the PhD thesis ""Experimental investigation of the effects of particle shape and friction on the mechanics of granular media"" by Gustavo PinzÃ³n (UniversitÃ© Grenoble Alpes).
-
-The setup is a modification of the traditional setup used in geotechnical testing, presenting a sliding base on one of the ends, which allows the creation of a singular strain localisation region.Â The experimental setup is designed for in-situÂ testing inside the x-ray tomography cabin of Laboratoire 3SR, Grenoble, France.
-
-Â TheÂ Readme.md file contains further details on the structure of the repository and the materials of each component. Please refer to the PhD thesis here for further details not found in the Readme.mdÂ file. Additional information/data not included in this repository is available upon request.",mds,True,findable,0,0,0,0,0,2023-04-10T15:08:02.000Z,2023-04-10T15:08:03.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_eb_20180618_001,U L3 edge XAS HERFD of U(IV)-uraninite and U(VI)-uranyl references,SSHADE/FAME (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Varying the uranium speciation.,mds,True,findable,0,0,0,0,0,2022-03-10T12:46:33.000Z,2022-03-10T12:46:34.000Z,inist.sshade,mgeg,"laboratory,oxide,UO2,liquid solution,U(VI)-uranyl solution,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'oxide'}, {'subject': 'UO2'}, {'subject': 'liquid solution'}, {'subject': 'U(VI)-uranyl solution'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['2 spectra'],['ASCII']
-10.5281/zenodo.7866738,"Digital Elevation Models, orthoimages and lava outlines of the 2021 Fagradalsfjall eruption: Results from near real-time photogrammetric monitoring",Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the data behind the work described in Pedersen et al (in review), specifically the Digital Elevation Models (DEMs), orthoimages and lava outlines created as part of the near-real time monitoring of the Fagradalsfjall 2021 eruption (SW-Iceland). The processing of the data is explained in detail in the Supplement S2 of Pedersen et al (2022). The data derived from PlÃ©iades surveys includes only the DEMs and the lava outlines. The PlÃ©iades-based orthoimages are subject to license. Please contact the authors for further information about this. <strong>Convention for file naming:</strong> Data: DEM, Ortho, Outline YYYYMMDD_HHMM: Date of acquisition Platform used: Helicopter (HEL), PlÃ©iades (PLE), Hasselblad A6D (A6D) Origin of elevations in DEMs: meters above ellipsoid (zmae) Ground Sampling Distance: 2x2m (DEM) and 30x30cm (Ortho) Cartographic projection: isn93 (see cartographic specifications for further details) <strong>Cartographic specifications:</strong> Cartographic projection: ISN93/Lambert 1993 (EPSG: 3057, https://epsg.io/3057) Horizontal and vertical reference frame: The surveys after 18 April 2021 are in ISN2016/ISH2004, updated locally around the study area in April 2021 (after pre-eruptive deformations occurred). The rest of the surveys of late March and early April were created using several floating reference systems (see Supplement S3 for details), since no ground surveys were available during the first weeks of the data collection. The surveys of 23 March 2021, 31 March 2021 were re-procesed in Gouhier et al., 2022, using the survey done on 18 May 2021 as reference. Origin of elevations: Ellipsoid WGS84 Raster data format: GeoTIFF Raster compression system: ZSTD (http://facebook.github.io/zstd/) Vector data format: GeoPackage (https://www.geopackage.org/)",mds,True,findable,0,0,0,0,0,2023-04-26T09:55:33.000Z,2023-04-26T09:55:33.000Z,cern.zenodo,cern,"Photogrammetry, DEM, volcano monitoring","[{'subject': 'Photogrammetry, DEM, volcano monitoring'}]",,
-10.26302/sshade/experiment_lb_20171025_001,Baseline-corrected and normalized Mid-IR absorbance spectra of fragments of AMMs pressed on diamond or germanium window under vacuum and at 80Â°C,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","MIR spectra of several fragments of Fg-AMMs DC06-09 (vacuum, 80Â°C) pressed on diamond or germanium substrate",mds,True,findable,0,0,0,0,0,2020-02-11T11:13:50.000Z,2020-02-11T11:13:50.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,organic-minerals mixture,physically adsorbed phase,adsorbed water,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,normalized absorbance,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'organic-minerals mixture'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'normalized absorbance'}, {'subject': 'absorbance'}]",['11 spectra'],['ASCII']
-10.5281/zenodo.10050502,Data and code associated with the manuscript: Three centuries of snowpack decline at an Alpine pass revealed by cosmogenic paleothermometry and luminescence photochronometry,Zenodo,2023,,Dataset,GNU General Public License v3.0 or later,"This dataset contains the data as well as the Matlab codes needed to reproduce the results in the following manuscript:
-
-Guralnik, B., Tremblay, M.M., Phillips, M., Sellwood, E.L., Gribenski, N., Presl, R., Haberkorn, A., Sohbati, R., Shuster, D.L., Valla, P., Jain, M., Schindler, K., Wallinga, J., and Hippe, K., Three centuries of snowpack decline at an Alpine pass revealed by cosmogenic paleothermometry and luminescence photochronometry.Â 
-
-Briefly, this manuscript presents novel datasets of cosmogenic paleothermometery (quartz He-3) and luminescence photochronometery (feldspar IRSL), whose pairing constrains the temperature and insolation history of three bedrock outcrops at the Gotthard Pass in Switzerland over the last ~15,000 years.Â 
-
-The data include (1) measured concentrations of cosmogenic Be-10, C-14, and He-3 in quartz, (2) stepwise degassing experiments on proton irradiated quartz grains that are used to determine sample-specific He-3 diffusion kinetics, (3) best-fit multiple diffusion domain (MDD) models to the proton-induced He-3 diffusion experiments, (5) Natural radioactivity and calculated feldspar infrared stimulated luminescence (ISRL) dose rates, (6) feldspar ISRL depth profiles, and (7) high-resolution microrelief surface scans and analysis.
-
-The code includes scripts necessary to reproduce the figures and results associated with this manuscript. The code is organized by figure into subfolders, and any data needed to reproduce a figure should be included in that folder. All original codes are distributed under the GNU General Public License. Codes written by others and utilized here are redistributed under their original license according to the terms and conditions therein, and are provided in the folder 'external.'
-
-Any questions about original Matlab codes published here should be directed to Benny Guralnik, benny.guralnik@gmail.com.",api,True,findable,0,0,0,1,2,2023-10-28T22:58:22.000Z,2023-10-28T22:58:23.000Z,cern.zenodo,cern,"snow,cosmogenic,paleothermometry,luminescence,Alpine","[{'subject': 'snow'}, {'subject': 'cosmogenic'}, {'subject': 'paleothermometry'}, {'subject': 'luminescence'}, {'subject': 'Alpine'}]",,
-10.5281/zenodo.4745556,robertxa/pyRRIM: Zenodo Release,Zenodo,2021,,Software,Open Access,Red Relief Image Map generation,mds,True,findable,0,0,0,0,0,2021-05-10T10:19:52.000Z,2021-05-10T10:19:53.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.xksn02vn4,Data for: A novel and enhanced calibration of the tilting weir as a flow measurement structure,Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"To achieve reliable and equitable water distribution it is necessary to
- accurately estimate the volumetric discharge of water flow through rivers
- and canals. One such method of accomplishing this is by using hydraulic
- structures, such as the tilting weir. This structure not only can be used
- to measure the discharge of water on a continuous basis, but also allows
- for regulating the water level upstream of the structure. Presently,
- tilting weirs are often used to control water levels, but the literature
- on their utilization as flow measurement structures has remained sparse.
- This study presents a thorough analysis of laboratory experiments on
- scaled models of tilting weirs, where the flow depth upstream of the
- structure (i.e., head) and the inclination angle are used to calibrate an
- equation to estimate the discharge to a high degree of accuracy.
- Operational guidelines to ensure minimum uncertainty in measurement are
- also given. The data published here include head and discharge
- measurements for all experiments conducted, including information on the
- experimental location, date, and model dimensions. Publication of this
- data is intended to allow other researchers to verify the calibration
- procedure laid out in the primary article, and as a comparative dataset
- for future calibrations.",mds,True,findable,0,0,0,0,0,2023-12-26T04:45:45.000Z,2023-12-26T04:45:46.000Z,dryad.dryad,dryad,"Discharge,Head,Water management,Civil engineering,FOS: Civil engineering,FOS: Civil engineering","[{'subject': 'Discharge'}, {'subject': 'Head', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Water management', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Civil engineering', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'FOS: Civil engineering', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Civil engineering', 'subjectScheme': 'fos'}]",['23068 bytes'],
-10.6084/m9.figshare.22735399,"Additional file 1 of Multiple trauma in pregnant women: injury assessment, fetal radiation exposure and mortality. A multicentre observational study",figshare,2023,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 1,mds,True,findable,0,0,0,0,0,2023-05-03T03:19:15.000Z,2023-05-03T03:19:15.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Biotechnology,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,19999 Mathematical Sciences not elsewhere classified,FOS: Mathematics,Developmental Biology,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '19999 Mathematical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Science Policy'}]",['675112 Bytes'],
-10.26302/sshade/experiment_sr_20200204_03,$Ar^+$ irradiation of phyllosilicate pellets probed by Vis-NIR spectroscopy,SSHADE/DAYSY (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Visible and Near-IR spectra of phyllosilicate pellets at different irradiation fluences of $Ar^+$ (40 keV).,mds,True,findable,0,0,0,0,0,2022-06-06T12:36:07.000Z,2022-06-06T12:36:08.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,Serpentine Rawhide,Serpentine UB-N,Saponite Griffithite,laboratory measurement,bidirectional reflection,microscopy,Vis,Visible,macroscopic,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Serpentine Rawhide'}, {'subject': 'Serpentine UB-N'}, {'subject': 'Saponite Griffithite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'microscopy'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['12 spectra'],['ASCII']
-10.5281/zenodo.5642126,"FIGURE 1 in Notes on the genus Chamaeanthus (Orchidaceae, Epidendroideae, Vandeae, Aeridinae) with a new species from Vietnam",Zenodo,2021,,Image,Open Access,"FIGURE 1. Chamaeanthus averyanovii Vuong, Kumar, V.H. Bui, V.S.Dang: A &amp; B. Plant habit; C. Leaf apex; D. Leaf sheath; E. Inflorescence; F. Flower; G. Floral bract; H. Dorsal sepal; I. Lateral sepals; J. Petals; K. Lip; L. Column and column foot; M. Stigma; N. Anher cap; O. Pollinia. All photo by Truong Ba Vuong from specimen BV 1194.",mds,True,findable,0,0,0,2,0,2021-11-03T06:44:17.000Z,2021-11-03T06:44:18.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Plantae,Tracheophyta,Liliopsida,Asparagales,Orchidaceae,Chamaeanthus","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Plantae'}, {'subject': 'Tracheophyta'}, {'subject': 'Liliopsida'}, {'subject': 'Asparagales'}, {'subject': 'Orchidaceae'}, {'subject': 'Chamaeanthus'}]",,
-10.5281/zenodo.3672715,Data for A FinFET with one atomic layer channel,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains raw optical/SEM images of the nano fabrication, and electrical transport test, etc, which are related to the manuscript of A FinFET with One Atomic Layer Channel.",mds,True,findable,3,0,0,0,0,2020-03-05T10:32:54.000Z,2020-03-05T10:32:56.000Z,cern.zenodo,cern,"FinFET, monolayer TMD","[{'subject': 'FinFET, monolayer TMD'}]",,
-10.26302/sshade/experiment_bs_20200812_100,"Vis-NIR reflectance spectra of Beauregard pigments (PIG_0174_A): raw blocks, powders, polished plot and painted matter",SSHADE/PIG (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of Beauregard pigments (PIG_0174_2016) as raw blocks, powders with grain sizes &lt; 160 Âµm (2 densities: 0.96 and 1.22), polished plot and a painted matter on limestone",mds,True,findable,0,0,0,0,0,2021-03-31T17:05:48.000Z,2021-03-31T17:05:49.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,carbonate,limestone,oxide-hydroxide,Hematite,Goethite,tektosilicate,Quartz,fluoride,Fluorite,sulfate,Baryte,???,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'carbonate'}, {'subject': 'limestone'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Hematite'}, {'subject': 'Goethite'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'fluoride'}, {'subject': 'Fluorite'}, {'subject': 'sulfate'}, {'subject': 'Baryte'}, {'subject': '???'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['10 spectra'],['ASCII']
-10.17178/amma-catch.pa.met_snnr,"Meteorological dataset (including radiative budget and soil variables), in the Niakhar site (Ragola station), Senegal","IRD, CNRS-INSU, OSUG, OMP, OREME",2018,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Document atmospheric forcing. Contribute to the Ragola flux station.,mds,True,findable,0,0,1,0,0,2021-11-15T12:53:49.000Z,2021-11-15T12:53:50.000Z,inist.osug,jbru,"Meteorology, radiative budget,Sahelian climate,Relative Humidity,Air Temperature","[{'subject': 'Meteorology, radiative budget', 'subjectScheme': 'main'}, {'subject': 'Sahelian climate', 'subjectScheme': 'main'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.4265431,Ecological effects of stress drive bacterial evolvability under sub-inhibitory antibiotic treatments,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Code and data for our publication ""Ecological effects of stress drive bacterial evolvability under sub-inhibitory antibiotic treatments""",mds,True,findable,0,0,0,0,0,2022-07-20T11:13:17.000Z,2022-07-20T11:13:18.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8421879,Inference of Robust Reachability Constraints,Zenodo,2023,,Software,"Creative Commons Attribution 4.0 International,Open Access","Characterization of bugs and attack vectors is in many practical scenarios as important as their finding.<br> Recently, Girol et al. have introduced the concept of robust reachability which ensures a perfect reproducibility<br> of the reported violations by distinguishing input which are under the control of the attacker (controlled input)<br> from those which are not (uncontrolled input), and proposed first automated analysis for it. While it is a step<br> toward distinguishing severe bugs from benign ones, it fails to describe violations that are mostly reproducible,<br> i.e., when triggering conditions are likely to happen, meaning that they happen for all uncontrolled input but<br> a few corner cases. To address this issue, we propose to leverage theory-agnostic abduction techniques to<br> generate constraints on the uncontrolled program input that ensure that a target property is robustly satisfied,<br> which is an extension of robust reachability that is generic on the type of trace property and on the technology<br> used to verify the properties. We show that our approach is complete w.r.t. its inference language, and we<br> additionally discuss strategies for the efficient exploration of the inference space. We finally demonstrate the<br> feasibility of the method with an implementation that uses robust reachability oracles to generate constraints<br> on standard benchmarks from software verification and security analysis, and its practical ability to refine the<br> notion of robust reachability. We illustrate the use of our implementation to a vulnerability characterization<br> problem in the context of fault injection attacks. Our method overcomes a major limitation of the initial<br> proposal of robust reachability, without complicating its definition. From a practical view, this is a step toward<br> new verification tools that are able to characterize program violations through high-level feedback.",mds,True,findable,0,0,0,0,0,2023-10-09T22:31:32.000Z,2023-10-09T22:31:32.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_op_20201104_001,"Vis-NIR reflectance spectra of JSC Mars 1 or Dark basalt powders pure, and/or mixed with H2O ice (with ice particles ~4 or ~67 Âµm, or in a slab), and/or covered with H2O frost",SSHADE/BYPASS (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-11-13T21:44:41.000Z,2020-11-13T21:44:42.000Z,inist.sshade,mgeg,"solid,natural terrestrial,oxide-hydroxide,Magnetite,Ulvospinel,tektosilicate,Anorthite,nesosilicate,Olivine,Ferrihydrite,inosilicate,Augite,Orthopyroxenes,laboratory,Vitreous matrix,Pyroxene,Plagioclase,inorganic molecular solid,H2O ice,water ice,laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Magnetite'}, {'subject': 'Ulvospinel'}, {'subject': 'tektosilicate'}, {'subject': 'Anorthite'}, {'subject': 'nesosilicate'}, {'subject': 'Olivine'}, {'subject': 'Ferrihydrite'}, {'subject': 'inosilicate'}, {'subject': 'Augite'}, {'subject': 'Orthopyroxenes'}, {'subject': 'laboratory'}, {'subject': 'Vitreous matrix'}, {'subject': 'Pyroxene'}, {'subject': 'Plagioclase'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O ice'}, {'subject': 'water ice'}, {'subject': 'laboratory measurement'}, {'subject': 'biconical reflection'}, {'subject': 'imaging'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['47 spectra'],['ASCII']
-10.5281/zenodo.6573845,Experiments on a single large particle segregating in bedload transport,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This depository contains all the data presented in ""Experiments on a single large particle segregating in bedload transport"" from H. Rousseau, J. Chauchat and P. Frey in Physical Review Fluids, as well as the code to read these data. There are 10 folders that each correspond to a configuration (i.e. size ratio and Shields number). These folders contain subfolders that correspond to the different repetitions we made for each configuration. In a subfolder, one can find:<br> - The first image of the experiment (t=0s).<br> - An hdf5 file called ""bedAndWaterLines.h5"" which contains the data for the waterline positions and the bedline positions with time.<br> - An hdf5 file called ""frame_0_to_3000_with_step_1_and_shift_1.hdf5"" which contains the granular bed velocity fields Ux and Uy interpolated over the time. These velocities have been obtained using the OpyFlow toolbox (https://github.com/groussea/opyflow.git).<br> - An hdf5 file called ""DataTracked.h5"" which contains the results from the detection of the intruder. Inside ""DataTracked.h5"", one can find one folder by timestep that includes the coordinates of the intruder. The total number of frame, the acquisition rate and the scale are also saved as datasets in ""DataTracked.h5"". The code ""plotData.py"" has been coded in python3 and allows one to read the data from the hdf5 files (make sure you installed the h5py package for python before). ""plotData.py"" is annotated and thus, it contains all the instructions to plot the data of a given repetition. It is based on the following classes:<br> - ""LoadResult"" that reads ""DataTracked.h5""<br> - ""loadWaterAndBed"" that reads ""bedAndWaterLines.h5""<br> - ""readOpyf"" that reads ""frame_0_to_3000_with_step_1_and_shift_1.hdf5"" The file ""listRepetitions.ods"" is also provided. It allows one to match a given experiment in the paper to its name in this depository. Feel free to contact us if you need more info.",mds,True,findable,0,0,0,1,0,2022-05-23T16:16:41.000Z,2022-05-23T16:16:42.000Z,cern.zenodo,cern,"Granular physics,Grain-size segregation,Bedload transport,Sediment transport","[{'subject': 'Granular physics'}, {'subject': 'Grain-size segregation'}, {'subject': 'Bedload transport'}, {'subject': 'Sediment transport'}]",,
-10.26302/sshade/experiment_sm_20210422_90,Vis-NIR reflectance spectroscopy of the meteorite Murchison with varying incidence and emergence angles,SSHADE/CHIPS (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","0.35 to 2.5Âµm reflectance spectroscopy of a crushed sample of the meteorite Murchison with grain size &lt;90$\mu$m observed under varying geometries: incidence angle at 0Â°, 15Â°, 30Â°, 45Â°, and 60Â°; emergence angle from -60Â° to 60Â° by 15Â° steps.",mds,True,findable,0,0,0,0,0,2021-04-26T18:38:08.000Z,2021-04-26T18:38:10.000Z,inist.sshade,mgeg,"extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix Murchison,complex mineral mix,chondrules Murchison,CAIs Murchison,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Murchison'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Murchison'}, {'subject': 'CAIs Murchison'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_dt_20180117_004,Mo K edge XAS transmission of Mo metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T07:52:21.000Z,2019-11-16T07:52:22.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Mo,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Mo'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.17178/emaa_hc3n_rotation_4ac6b479,"Rotation excitation of HC3N by electron, ortho-H2 and para-H2 collisions","UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",38 rotation energy levels / 37 radiative transitions / 564 collisional transitions for para-H2 (20 temperatures in the range 10-300K) / 564 collisional transitions for ortho-H2 (20 temperatures in the range 10-300K) / 37 collisional transitions for electron (5 temperatures in the range 10-1000K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:59.000Z,2021-11-17T14:01:01.000Z,inist.osug,jbru,"target HC3N,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,collider.2 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HC3N', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'collider.2 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.3135479,Fast and Faithful Performance Prediction of MPI applications: the HPL use case study (experiment artifact),Zenodo,2019,en,Other,"MIT License,Open Access",Artifact repository for the article Fast and Faithful Performance Prediction of MPI applications: the HPL use case study.,mds,True,findable,0,0,0,0,0,2019-05-22T08:58:00.000Z,2019-05-22T08:58:01.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_rb_20160422_001,NIR-MIR transmittance spectra of crystalline water ice deposited at 150K and then cooled at 40K,SSHADE/DAYSY (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-05-27T17:03:15.000Z,2022-05-27T17:03:16.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,Crystalline water ice,laboratory measurement,transmission,macroscopic,NIR,Near-Infrared,MIR,Mid-Infrared","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'Crystalline water ice'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}]",['2 spectra'],['ASCII']
-10.5281/zenodo.10469400,Ecological histories determine the success of social exploitation,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Data and analysis code for the manuscript ""Ecological histories determine the success of social exploitation"" by KA Schaal*, P Manhes*, & GJ Velicer
-
-*shared first-authorship",api,True,findable,0,0,0,0,0,2024-01-08T11:34:27.000Z,2024-01-08T11:34:27.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_kd_20220525_002,"Optical constants of Mg- and Fe-rich amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1 - 0.2 - 0.3 - 0.4, processed samples, 10-300 K, UV-mm range",SSHADE/STOPCODA (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","UV to mm optical constants of four Mg- and Fe-rich amorphous silicates Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1 - 0.2 - 0.3 - 0.4, processed samples, at 10, 100, 200 and 300 K. The optical constants are calculated from mass absorption coefficients measured in the 5 - 1000 Âµm (2000-10 cm-1) range and extrapolated in the range 0.024 - 5 Âµm and 1000 - 100000 Âµm.",mds,True,findable,0,0,0,0,0,2022-05-31T13:18:49.000Z,2022-05-31T13:18:50.000Z,inist.sshade,mgeg,"solid,laboratory,non-oxide ceramic,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1,commercial,homopolymer,Polyethylene HDPE,bromide,Potassium bromide KBr,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.2,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.3,Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.4,laboratory measurement,numerical extrapolation,macroscopic,UV,Ultraviolet,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,FIR,Far-Infrared,sub-mm,mm,millimeter wave,cm,centimeter wave,optical constants","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'non-oxide ceramic'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.1'}, {'subject': 'commercial'}, {'subject': 'homopolymer'}, {'subject': 'Polyethylene HDPE'}, {'subject': 'bromide'}, {'subject': 'Potassium bromide KBr'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.2'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.3'}, {'subject': 'Amorphous silicate Mg$_{(1-x)}$Fe$_x$SiO$_3$, x=0.4'}, {'subject': 'laboratory measurement'}, {'subject': 'numerical extrapolation'}, {'subject': 'macroscopic'}, {'subject': 'UV'}, {'subject': 'Ultraviolet'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'sub-mm'}, {'subject': 'mm'}, {'subject': 'millimeter wave'}, {'subject': 'cm'}, {'subject': 'centimeter wave'}, {'subject': 'optical constants'}]",['16 spectra'],['ASCII']
-10.5281/zenodo.4687049,VHF Radio Echo Sounding from Dome C to Little Dome C,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","These are ice-penetrating radar data connecting the newly chosen Beyond EPICA Little Dome C core site to the EPICA Dome C core site, collected in late 2019. These data are presented in a paper in The Cryosphere (https://doi.org/10.5194/tc-2020-345), where full processing and collection methods are described. <strong>Data collection and processing</strong> Data were collected using a new very high frequency (VHF) radar, built by the Remote Sensing Center at the University of Alabama (Yan et al., 2020). The system transmitted 8 us chirps, with peak transmit power of 125--250 W per channel, at 200 MHz center frequency and 60 MHz bandwidth. There were 5--8 operational channels at various points. The antennas were pulled behind a tracked vehicle, with controlling electronics in the rear of the vehicle. Data were collected at travel speeds of 2--3.5 m/s. Data processing consisted of coherent integration (i.e. unfocused SAR), pulse compression, motion compensation (by tracking internal horizons), coherent channel combination, and de-speckling using a median filter. Two-way travel time was converted to depth assuming a correction of 10 m of firn-air and a constant radar wave speed of 168.5 m/us (e.g., Winter et al., 2017). After other processing was complete, different radargrams were spliced together to create a continuous profile extending from EPICA Dome C to the Beyond EPICA Little Dome C core site, and then the data were interpolated to have constant, 10-m horizontal spacing. The re-interpolated data were used for horizon tracing, which was done semi-automatically to follow amplitude peaks between user-defined clicks. For the bed reflection, we always picked the first notable return in the region of the bed. <strong>File description</strong> The file format is hdf5, which can be read with many programming languages. There are three groups in the file: processed_data, picks, and geographic_information. The processed_data gives the return power matrix (dB), and the depth (m) and two-way travel time (us) for the fast-time dimension. The picks give the depths (m) of different reflecting horizons traced in the corresponding paper. Ages and age uncertainties (kyr), interpolated from the AICC2012 timescale, are included as attributes on each pick. Bed and basal unit picks are included (ageless). The geographic_information gives latitude and longitude (decimal degrees), and the distance along-profile (km). <strong>References</strong> Bazin, L., Landais, A., Lemieux-Dudon, B., ToyÃ© Mahamadou Kele, H., Veres, D., Parrenin, F., Martinerie, P., Ritz, C., Capron, E., Lipenkov, V., Loutre, M. F., Raynaud, D., Vinther, B., Svensson, A., Rasmussen, S. O., Severi, M., Blunier, T., Leuenberger, M., Fischer, H., Masson-Delmotte, V., Chappellaz, J., and Wolff, E.: An optimized multi-proxy, multi-site Antarctic ice and gas orbital chronology (AICC2012): 120-800 ka, 9, 1715â€“1731, https://doi.org/10.5194/cp-9-1715-2013, 2013. Winter, A., Steinhage, D., Arnold, E. J., Blankenship, D. D., Cavitte, M. G. P., Corr, H. F. J., Paden, J. D., Urbini, S., Young, D. A., and Eisen, O.: Comparison of measurements from different radio-echo sounding systems and synchronization with the ice core at Dome C, Antarctica, 11, 653â€“668, https://doi.org/10.5194/tc-11-653-2017, 2017. Yan, J.-B., Li, L., Nunn, J. A., Dahl-Jensen, D., Oâ€™Neill, C., Taylor, R. A., Simpson, C. D., Wattal, S., Steinhage, D., Gogineni, P., Miller, H., and Eisen, O.: Multiangle, Frequency, and Polarization Radar Measurement of Ice Sheets, 13, 2070â€“2080, https://doi.org/10.1109/JSTARS.2020.2991682, 2020.",mds,True,findable,0,0,1,0,0,2021-04-15T09:57:57.000Z,2021-04-15T09:57:58.000Z,cern.zenodo,cern,"ice-penetrating radar,Antarctica","[{'subject': 'ice-penetrating radar'}, {'subject': 'Antarctica'}]",,
-10.5281/zenodo.8296848,Cophylogeny reconstruction allowing for multiple associations through approximate Bayesian computation,Zenodo,2023,,Other,"Creative Commons Attribution 4.0 International,Open Access","Phylogenetic tree reconciliation is extensively employed for the examination of coevolution between host and symbiont species. An important concern is the requirement for dependable cost values when selecting event-based parsimonious reconciliation. Although certain approaches deduce event probabilities unique to each pair of host and symbiont trees, which can subsequently be converted into cost values, a significant limitation lies in their inability to model the <em>invasion</em> of diverse host species by the same symbiont species (termed as a spread event), which is believed to occur in symbiotic relationships. Invasions lead to the observation of multiple associations between symbionts and their hosts (indicating that a symbiont is no longer exclusive to a single host), which are incompatible with the existing methods of coevolution. Here, we present a method called AmoCoala (an enhanced version of the tool Coala) that provides a more realistic estimation of cophylogeny event probabilities for a given pair of host and symbiont trees, even in the presence of spread events. We expand the classical 4-event coevolutionary model to include 2 additional spread events (vertical and horizontal spreads) that lead to multiple associations. In the initial step, we estimate the probabilities of spread events using heuristic frequencies. Subsequently, in the second step, we employ an approximate Bayesian computation (ABC) approach to infer the probabilities of the remaining 4 classical events (cospeciation, duplication, host switch, and loss) based on these values. By incorporating spread events, our reconciliation model enables a more accurate consideration of multiple associations. This improvement enhances the precision of estimated cost sets, paving the way to a more reliable reconciliation of host and symbiont trees. To validate our method, we conducted experiments on synthetic datasets and demonstrated its efficacy using real-world examples. Our results showcase that AmoCoala produces biologically plausible reconciliation scenarios, further emphasizing its effectiveness.The software is accessible at https://github.com/sinaimeri/AmoCoala.",mds,True,findable,0,0,0,0,0,2023-08-29T15:29:58.000Z,2023-08-29T15:29:58.000Z,cern.zenodo,cern,"reconciliation,cophylogeny,ABC method,spread","[{'subject': 'reconciliation'}, {'subject': 'cophylogeny'}, {'subject': 'ABC method'}, {'subject': 'spread'}]",,
-10.5061/dryad.2547d7wr9,Demographic inferences and climatic niche modeling shed light on the evolutionary history of the emblematic cold-adapted Apollo butterfly at regional scale,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Cold-adapted species escape climate warming by latitudinal and/or altitudinal range shifts, and currently occur in Southern Europe in isolated mountain ranges within â€˜sky islands. Here we studied the genetic structure of the Apollo butterfly in five such alpine islands (above 1000 m) in France, and infer its demographic history since the last interglacial, using single nucleotide polymorphisms (ddRADseq SNPs). The Auvergne and Alps populations show strong genetic differentiation but not alpine massifs, although separated by deep valleys. Combining three complementary demographic inference methods and species distribution models (SDMs) we show that the LIG period was highly defavorable for Apollo that probably survived in small population in the highest summits of Auvergne. The population shifted downslope and expanded eastward between LIG and LGM throughout the large climatically suitable RhÃ´ne valley between the glaciated summits of Auvergne and Alps. The Auvergne and Alps populations started diverging before the LGM but remained largely connected till the mid-Holocene. Population decline in Auvergne was more gradual but started before (~7 kya versus 800 ya), and was much stronger with current population size ten times lower than in the Alps. In the Alps, the low genetic structure and limited evidence for isolation by distance suggest a non-equilibrium metapopulation functioning. The core Apollo population experienced cycles of contraction-expansion with climate fluctuations with largely inter-connected populations over time according to a â€˜metapopulation-pulsarâ€™ functioning. This study demonstrates the power of combining demographic inferences and SDMs to determine past and future evolutionary trajectories of an endangered species at a regional scale.",mds,True,findable,116,12,0,0,0,2021-10-18T06:05:50.000Z,2021-10-18T06:05:51.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1369000 bytes'],
-10.5281/zenodo.4543403,KhÃ¶Ã¶mii Mongol: diversitÃ© des styles et des techniques de l'art diphonique,Zenodo,2021,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access","Illustrations audiovisuelles de l'article ""<em>KhÃ¶Ã¶mii</em> Mongol: diversitÃ© des styles et des techniques de lâ€™art diphonique"", par Johanni Curtet, Nathalie Henrich Bernardoni, MichÃ¨le Castellengo, Christophe Savariaux, Pascale Calabrese, Actes des Rencontres Nationales sur les Recherches en Musique, 2021",mds,True,findable,0,0,0,0,0,2021-02-16T13:41:10.000Z,2021-02-16T13:41:11.000Z,cern.zenodo,cern,"diphonic singing,mongolian KhÃ¶Ã¶mii","[{'subject': 'diphonic singing'}, {'subject': 'mongolian KhÃ¶Ã¶mii'}]",,
-10.5281/zenodo.5243268,Polish DBnary archive in original Lemon format,Zenodo,2021,pl,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Polish language edition, ranging from 23rd June 2014 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T10:56:50.000Z,2021-08-24T10:56:51.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.5281/zenodo.8147580,"Digital elevation models of the paper: Holocene Earthquakes on the Tambomachay Fault near Cusco, Central Andes",Zenodo,2023,,Other,"Creative Commons Attribution 4.0 International,Open Access","Digital Elevation Models (DEM) of the paper: Holocene earthquakes on the Tambomachay Fault near Cusco, Central Andes. These DEMS were used for the morphometric and morphotectonic analysis of the Tambomachay Fault.",mds,True,findable,0,0,0,0,0,2023-07-14T19:15:06.000Z,2023-07-14T19:15:07.000Z,cern.zenodo,cern,"Paleoseismology, active faulting, historical seismicity, Cusco, Peru, Central Andes","[{'subject': 'Paleoseismology, active faulting, historical seismicity, Cusco, Peru, Central Andes'}]",,
-10.5281/zenodo.6653187,316L L-PBF fatigue dataset,Zenodo,2022,fr,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This file contains 316L Laser Powder Bed Fusion fatigue tests dataset. Experiments were carried on a MTS Landmark 100 kN servohydraulic fatigue test machine. This experimental campaign took place in the context of a PhD grant from the French region Pays de la Loire (see https://pastel.archives-ouvertes.fr/tel-03688021 for the thesis manuscript). Fatigue tests were carried : - in air or in salt-spray - on different batches (polished, pre-corroded, with artificial defects,...) - at R=-1 and R=0.1",mds,True,findable,0,0,0,0,0,2022-06-16T15:13:18.000Z,2022-06-16T15:13:19.000Z,cern.zenodo,cern,"Fatigue,316L,L-PBF,Additive Manufacturing,Defects,Salt-Spray,Corrosion","[{'subject': 'Fatigue'}, {'subject': '316L'}, {'subject': 'L-PBF'}, {'subject': 'Additive Manufacturing'}, {'subject': 'Defects'}, {'subject': 'Salt-Spray'}, {'subject': 'Corrosion'}]",,
-10.5281/zenodo.3528068,DeepPredSpeech: computational models of predictive speech coding based on deep learning,Zenodo,2018,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset contains all data, source code, pre-trained computational predictive models and experimental results related to: Hueber T., Tatulli E., Girin L., Schwatz, J-L ""How predictive can be predictions in the neurocognitive processing of auditory and audiovisual speech? A deep learning study."" (biorXiv preprint https://doi.org/10.1101/471581). Raw data are extracted from the publicly available database NTCD-TIMIT (10.5281/zenodo.260228). Audio recordings are available in the audio_clean/ directory Post-processed lip image sequences are available in the lips_roi/ directory (67x67 pixels, 8bits, obtained by lossless inverse DCT-2D transform from the DCT feature available in the original repository of NTCD-TIMIT) Phonetic segmentation (extracted from NTCD-TIMIT original zenodo repository) is available in the HTK MLF file volunteer_labelfiles.mlf Audio features (MFCC-spectrogram and log-spectrogram) are available in the mfcc_16k/ and fft_16k/ directories. Models (audio-only, video-only and audiovisual, based on deep feed-forward neural networks and/or convolutional neural network, in .h5 format, trained with Keras 2.0 toolkit) and data normalization parameters (in .dat scikit-learn format) are available in models_mfcc/ and models_logspectro/ directories Predicted and target (ground truth) MFCC-spectro (resp. log-spectro) for the test databases (1909 sentences), and for the different values of \(\tau_p\) or \(\tau_f\) are available in pred_testdb_mfccspectro/ (resp. pred_testdb_logspectro/) directory Source code for extracting audio features, training and evaluating the models is available on GitHub https://github.com/thueber/DeepPredSpeech/ All directories have been zipped before upload. Feel free to contact me for more details. Thomas Hueber, Ph. D., CNRS research fellow, GIPSA-lab, Grenoble, France, thomas.hueber@gipsa-lab.fr",mds,True,findable,0,0,0,0,0,2019-11-04T14:03:16.000Z,2019-11-04T14:03:17.000Z,cern.zenodo,cern,"deep learning, computational model, multimodal, audiovisual, speech, predictive coding","[{'subject': 'deep learning, computational model, multimodal, audiovisual, speech, predictive coding'}]",,
-10.6084/m9.figshare.12270167,Additional file 3 of One-year survival in acute stroke patients requiring mechanical ventilation: a multicenter cohort study,figshare,2020,,Text,Creative Commons Attribution 4.0 International,"Additional file 3. Patients characteristics and outcomes, according to the type of stroke.",mds,True,findable,0,0,33,0,0,2020-05-08T04:08:10.000Z,2020-05-08T04:08:11.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['25560 Bytes'],
-10.5281/zenodo.3568739,Magnetism and anomalous transport in the Weyl semimetal PrAlGe: Possible route to axial gauge fields,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The file ManuscriptDataFiles.7z contains the raw experimental data from which the figures are made in the manuscript entitled ""Magnetism and anomalous transport in the Weyl semimetal PrAlGe: Possible route to axial gauge fields"" that appeared in npj Quantum Materials <strong>5</strong>, 5 (2020). Paper Abstract: In magnetic Weyl semimetals, where magnetism breaks time-reversal symmetry, large magnetically sensitive anomalous transport responses are anticipated that could be useful for topological spintronics. The identification of new magnetic Weyl semimetals is therefore in high demand, particularly since in these systems Weyl node configurations may be easily modified using magnetic fields. Here we explore experimentally the magnetic semimetal PrAlGe, and unveil a direct correspondence between easy-axis Pr ferromagnetism and anomalous Hall and Nernst effects. With sizes of both the anomalous Hall conductivity and Nernst effect in good quantitative agreement with first principles calculations, we identify PrAlGe as a system where magnetic fields can connect directly to Weyl nodes via the Pr magnetization. Furthermore, we find the predominantly easy-axis ferromagnetic ground state co-exists with a low density of nanoscale textured magnetic domain walls. We describe how such nanoscale magnetic textures could serve as a local platform for tunable axial gauge fields of Weyl fermions.",mds,True,findable,0,0,0,0,0,2020-01-17T14:00:06.000Z,2020-01-17T14:00:07.000Z,cern.zenodo,cern,"magnetism, semimetal, Hall effect, magnetization, Nernst effect, neutron scattering Weyl","[{'subject': 'magnetism, semimetal, Hall effect, magnetization, Nernst effect, neutron scattering Weyl'}]",,
-10.5281/zenodo.8319001,"Characterization, modelling, and optimization of high-performance nano-columnar microâ€“Solid Oxide Cell oxygen electrodes",Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Dataset containing all the data used in the article entitled ""Characterization, modelling, and optimization of high-performance nano-columnar microâ€“Solid Oxide Cell oxygen electrodes"".",mds,True,findable,0,0,0,0,0,2023-09-18T11:35:02.000Z,2023-09-18T11:35:03.000Z,cern.zenodo,cern,,,,
-10.15778/resif.1a2009,"ArLiTA : Architecture de la LithosphÃ¨re de Terre AdÃ©lie, Antarctique, code 1A, funded and instrumented by IPEV, CNRS-INSU, RESIF-SISMOB, Laboratoire Magmas et Volcans (UMR 6524), UniversitÃ© de Saint Etienne, UniversitÃ© de La RÃ©union, IPGP",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2015,en,Other,"Open Access,Creative Commons Attribution 4.0 International","ArLiTA aims at characterizing the structures and the deformation patterns of the Terre AdÃ©lie and George V Land (East Antarctica: 135 to 145Â° E). The ArLiTA project includes multidisciplinary approaches and combines various analyses and interpretation methods, in order to relate field observations to geodynamic models. Those includes studies from the crystal scale to regional structures mapped by seismological data analysis and includes measurement of the anisotropy of magnetic susceptibility (AMS) to map the deformation patterns (foliation, lineation) of the different crustal blocks from the Neoarchean and Paleoproterozoic crustal segments. ArLiTA project also includes petrological and geochemical analyses to investigate relationships between the deformation structures and the transfers of geological fluids (silicate melts, hydrous or carbon-rich fluids, etcâ€¦) within the crust. ArLiTA deployed four broad band three components seismic stations east of the GEOSCOPE station DRV located at the Dumont dâ€™Urville French base. These stations were operating from Nov 2009 to Dec 2012 along the Terre AdÃ©lie and the George V Land coastal area and improves the instrumental coverage of East-Antarctica and of the Terre AdÃ©lie Craton (TAC). https://dossier.univ-st-etienne.fr/arlita/www/",mds,True,findable,0,0,0,0,0,2015-11-20T13:35:17.000Z,2015-11-20T13:35:17.000Z,inist.resif,vcob,"Terre AdÃ©lie,George V Land,Dumont d'Urville,Lithosphere and asthenosphere,East Antarctica Craton,Mertz shear zone,Seismic anisotropy and mantle flow,Crustal structure,Cryoseismology,Icequakes,Mertz Glacier,Mertz calving","[{'subject': 'Terre AdÃ©lie'}, {'subject': 'George V Land'}, {'subject': ""Dumont d'Urville""}, {'subject': 'Lithosphere and asthenosphere'}, {'subject': 'East Antarctica Craton'}, {'subject': 'Mertz shear zone'}, {'subject': 'Seismic anisotropy and mantle flow'}, {'subject': 'Crustal structure'}, {'subject': 'Cryoseismology'}, {'subject': 'Icequakes'}, {'subject': 'Mertz Glacier'}, {'subject': 'Mertz calving'}]",,
-10.18709/perscido.2020.01.ds289,ReDFISh multispectral dataset,PerSciDo,2020,en,Dataset,,ReDFISh is a dataset containing multispectral images to help image sensors design. They contain a spectral sampling of reflectance properties of scenes over the absorption range of silicon (400 - 1050 nm). These data are used to simulate raw image acquisitions according to spectral sensitivities of a given image sensor under chosen illumination conditions and exposure setting. They can also be used for color science.,fabrica,True,findable,0,0,0,0,0,2020-01-20T11:43:16.000Z,2020-01-20T11:43:16.000Z,inist.persyval,vcob,"Engineering,Imaging science","[{'lang': 'en', 'subject': 'Engineering'}, {'lang': 'en', 'subject': 'Imaging science'}]",['730.32 MB'],['HDF5 -.h5- - PNG']
-10.18709/perscido.2022.05.ds367,"Snow properties in Antarctica, Canada and the Alps for microwave emission and backscatter modeling",PerSCiDo,2022,en,Dataset,,"This dataset gathers measurements of snow properties (density, specific surface area and temperature) and microwave brightness temperature data from Antarctica and Canada, and snow microstructure properties (chord length distribution, ice fractional volume) derived from micro-CT imagery from the Alps. This dataset was established to run and evaluate microwave scattering simulations.",fabrica,True,findable,0,0,0,1,0,2022-05-04T14:09:09.000Z,2022-05-04T14:09:10.000Z,inist.persyval,vcob,Glaciology,"[{'lang': 'en', 'subject': 'Glaciology'}]",['10Mo'],
-10.5281/zenodo.7307793,SolSysELTs2022 Part II: Observing asteroids and trans-Neptunian objects with MICADO/MAORY,Zenodo,2022,en,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access",Contributed talk: presentation and video recording,mds,True,findable,0,0,0,0,0,2022-11-09T12:23:20.000Z,2022-11-09T12:23:21.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_raman_huntite,Raman bandlist of Huntite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of natural Huntite at 295K,mds,True,findable,0,0,2,0,0,2023-12-25T18:25:48.000Z,2023-12-25T18:25:49.000Z,inist.sshade,mgeg,"Huntite,Calcium cation,Magnesium(II) cation,Carbonate anion,Calcium(2+) cation,Magnesium(2+) cation,14127-61-8,22537-22-0,Ca2+,Mg2+,(CO3)2-,CaMg3(CO3)4,Huntite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,-Huntite- group,14.04.03.01,05.AB.25,Raman scattering,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Huntite', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Magnesium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': '22537-22-0', 'subjectScheme': 'CAS number'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': 'Mg2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'CaMg3(CO3)4', 'subjectScheme': 'formula'}, {'subject': 'Huntite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': '-Huntite- group', 'subjectScheme': 'Dana group'}, {'subject': '14.04.03.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.25', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5061/dryad.283pp,Data from: Large chromosomal rearrangements during a long-term evolution experiment with Escherichia coli,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"Large-scale rearrangements may be important in evolution because they can alter chromosome organization and gene expression in ways not possible through point mutations. In a long-term evolution experiment, twelve Escherichia coli populations have been propagated in a glucose-limited environment for over 25 years. We used whole-genome mapping (optical mapping) combined with genome sequencing and PCR analysis to identify the large-scale chromosomal rearrangements in clones from each population after 40,000 generations. A total of 110 rearrangement events were detected, including 82 deletions, 19 inversions, and 9 duplications, with lineages having between 5 and 20 events. In three populations, successive rearrangements impacted particular regions. In five populations, rearrangements affected over a third of the chromosome. Most rearrangements involved recombination between insertion sequence (IS) elements, illustrating their importance in mediating genome plasticity. Two lines of evidence suggest that at least some of these rearrangements conferred higher fitness. First, parallel changes were observed across the independent populations, with ~65% of the rearrangements affecting the same loci in at least two populations. For example, the ribose-utilization operon and the manB-cpsG region were deleted in 12 and 10 populations, respectively, suggesting positive selection, and this inference was previously confirmed for the former case. Second, optical maps from clones sampled over time from one population showed that most rearrangements occurred early in the experiment, when fitness was increasing most rapidly. However, some rearrangements likely occur at high frequency and may have simply hitchhiked to fixation. In any case, large-scale rearrangements clearly influenced genomic evolution in these populations.",mds,True,findable,224,16,1,1,0,2014-08-13T16:19:35.000Z,2014-08-13T16:19:36.000Z,dryad.dryad,dryad,"DNA rearrangements,IS elements","[{'subject': 'DNA rearrangements'}, {'subject': 'IS elements'}]",['814 bytes'],
-10.57745/tvahuq,Long term monitoring of near surface soil temperature in the french Alps part of ORCHAMP observatory,Recherche Data Gouv,2023,,Dataset,,"Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the French Alps. Data are part the ORCHAMP project. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in Â°C) measured at 5 cm belowground using stand-alone temperature data logger. The first sensors were installed in 2016. Data collection is still in progress and new sites are added every year since 2016.",mds,True,findable,63,11,0,0,0,2023-03-27T14:02:49.000Z,2023-07-18T07:43:40.000Z,rdg.prod,rdg,,,,
-10.57745/joz1na,Long term monitoring of near surface soil temperature in the french Alps,Recherche Data Gouv,2023,,Dataset,,"Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the French Alps. Data are part of several research projects and monitoring programs examining the impact of climate change on snow cover dynamics, microclimate, species distribution and ecosystem functioning. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in Â°C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,158,26,0,0,0,2023-03-15T11:45:22.000Z,2023-03-15T12:04:59.000Z,rdg.prod,rdg,,,,
-10.6084/m9.figshare.25200581,Additional file 1 of Blood MMP-9 measured at 2 years after lung transplantation as a prognostic biomarker of chronic lung allograft dysfunction,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 1: S1. COLT study protocol. S2. Description of variables of interest. Figure S1. Study protocol. Figure S2. Comparison of MMP-9 blood levels of Y2 analysis according to CLAD phenotypes. Figure S3. Precision-Recall (A) and ROC (B) curves for the Y1 MMP-9 analysis. Figure S4. Comparison of MMP-9 blood levels of Y2 analysis according to CLAD phenotypes. Figure S5. Longitudinal analysis of MMP-9 blood levels for recipients with available samples before transplantation, at Y1 and Y2.",mds,True,findable,0,0,24,0,0,2024-02-10T04:41:43.000Z,2024-02-10T04:41:43.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Ecology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}]",['1025399 Bytes'],
-10.5281/zenodo.4683985,Resolving subglacial hydrology network dynamics through seismic observations on an Alpine glacier.,Zenodo,2020,en,Other,"Creative Commons Attribution 4.0 International,Open Access","This is my PhD <strong>manuscript </strong>on "" Resolving subglacial hydrology dynamics through seismic observations on an Alpine glacier "". This file can be also uploaded from: https://hal.univ-grenoble-alpes.fr/tel-03191311v1. You can also find my PhD <strong>presentation </strong>PDF and the associated <strong>video </strong>can be found here or copy/paste this link: https://www.youtube.com/watch?v=IuEv7JKiYrg&amp;t=475s or search for <em>Ugo Nanni</em> on youtube. <strong>Summary</strong>: The way in which water flows in the subglacial environment exerts a major control on ice-bed mechanical coupling, which strongly defines glacier sliding speeds. Today our understanding on the physics of the subglacial hydrology network is limited because of the scarcity of field measurements that yield a partial representation of the heterogeneous subglacial environment. The aim of my PhD work is to use passive seismology to help overcome common observational difficulties and quantify the evolution of the subglacial hydrology network pressure conditions and its configuration. Recent works show that subglacial turbulent water flow generates seismic noise that can be related to the associated hydrodynamics properties. These analyses were conducted over a limited period of time making it unclear whether such approach is appropriate to investigate seasonal and diurnal timescales, I.e. when subglacial water flow influences the most glacier dynamics. In addition, previous studies did not consider spatial changes in the heterogeneous drainage system, and until now, almost no study has located seismic noise sources spatially scattered and temporally varying. In this PhD work I address those seismological-challenges in order to resolve the subglacial hydrology dynamics in time and space.We acquired a 2-year long continuous dataset of subglacial-water-flow-induced seismic power as well as in-situ measured glacier basal sliding speed and subglacial water discharge from the Glacier d'ArgentiÃ¨re (French Alps). I show that a careful investigation of the seismic power within [3-7] Hz can characterize the subglacial water flow hydrodynamics from seasonal to hourly timescales and across a wide range of water discharge (from 0.25 to 10 m3/sec). Combining such observations with adequate physical frameworks, I then inverted the associated hydraulic pressure gradient and hydraulic radii. I observed that the seasonal dynamics of subglacial channels is characterized by two distinct regimes. At low discharge, channels behave at equilibrium and accommodate variations in discharge mainly through changes in hydraulic radius. At a high discharge rate and with pronounced diurnal water-supply variability, channels behave out of equilibrium and undergo strong changes in the hydraulic pressure gradient, which may help sustain high water pressure in cavities and favor high glacier sliding speed over the summer.We then conducted a one-month long dense seismic-array experiment supplemented by glacier ice-thickness and surface velocity measurements. Using this unique dataset, I developed a novel methodology to overcome the challenge of locating seismic noise sources spatially scattered and temporally varying. Doing so, I successfully retrieve the first two-dimensional map of the subglacial drainage system as well as its day-to-day evolution. Using this map, I characterize when and where the subglacial drainage system is distributed through connected cavities, which favour rapid glacier flow versus localized through a channelized system that prevents rapid glacier flow. In addition, I also use high frequency seismic ground motion amplitude to study glacier features such as crevasses, thickness or ice anisotropy in a complementary way to what is traditionally done with seismic phase analysis.The first outcome of this cross-boundary PhD work is that one can analyse passive seismic measurements to retrieve the temporal evolution of subglacial channels pressure and geometry conditions over a complete melt-season. The second is that dense seismic array measurements can be used to resolve the subglacial drainage system spatial configuration and observe the switch from distributed to localized subglacial water flow. Such advances open the way for studying similar subglacial process on different sites and in particular in Greenland and Antarctica. This also concerns numerous sub-surface environment that host similar process such as volcanoes, karst, and landslides.",mds,True,findable,0,0,0,0,0,2021-04-13T17:10:38.000Z,2021-04-13T17:10:38.000Z,cern.zenodo,cern,"cryoseismology,subglacial hydrology,glacier","[{'subject': 'cryoseismology'}, {'subject': 'subglacial hydrology'}, {'subject': 'glacier'}]",,
-10.17178/emaa_oh-plus_hyperfine_1d30b9b4,Hyperfine excitation of OH+ by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",67 hyperfine energy levels / 252 radiative transitions / 875 collisional transitions for H (10 temperatures in the range 10-1000K) / 1945 collisional transitions for electron (12 temperatures in the range 10-3000K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:25.000Z,2022-02-07T11:25:25.000Z,inist.osug,jbru,"target OH+,excitationType Hyperfine,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target OH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.26302/sshade/experiment_bs_20191214_001,"Vis-NIR spectra of NH4-Montmorillonite, Antigorite, Dolomite and Graphite and their mixtures with different grain sizes and temperatures (140-300 K)",SSHADE/CSS+REFL_SLAB (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR spectra of NH4-Montmorillonite (0-25Âµm / 180-290K; 25-50Âµm / 200K), Antigorite (25-50Âµm / 200K; 50-100Âµm / 180-290K), Dolomite (0-25Âµm / 140-200K; 50-100Âµm / 200K), and Graphite (&gt;100Âµm / 290K) and 5 mixtures: #1: Mo6%:An5%:Do5%:Gr84% (0-25Âµm / 290K); #2: Mo17%:An24%:Do57%:Gr2% (50-100Âµm / 290K); #3a: Mo9%:An19%:Do64%:Gr8% (50-100Âµm / 290K); #3b: Mo9%:An19%:Do60%:Gr12% (50-100Âµm / 290K); #4: Mo28%:An36%:Do18%:Gr18% (0-25, 25-50, 50-100Âµm / 200, 300K)",mds,True,findable,0,0,0,0,0,2020-03-02T12:02:28.000Z,2020-03-02T12:02:29.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,laboratory,phyllosilicate,NH4-montmorillonite,interlayer phase,interlayer water,Antigorite,carbonate,Dolomite,commercial,elemental solid,Graphite,Mg-Carbonate,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'laboratory'}, {'subject': 'phyllosilicate'}, {'subject': 'NH4-montmorillonite'}, {'subject': 'interlayer phase'}, {'subject': 'interlayer water'}, {'subject': 'Antigorite'}, {'subject': 'carbonate'}, {'subject': 'Dolomite'}, {'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'Graphite'}, {'subject': 'Mg-Carbonate'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['42 spectra'],['ASCII']
-10.17178/gnss.products.japan_gipsyx.daily,GNSS daily position solutions in Japan,"CNRS, OSUG, ISTERRE",2022,en,Dataset,"License: CC BY-NC-ND 4.0,Data access and use are ruled by the OSUG data policy.,The following acknowledging sentence should appear in publications using ISTerre GNSS products: ""GNSS products are calculated and provided by the Institut of Sciences de la Terre (ISTerre), belonging to the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)"". 
-You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","This dataset includes daily solutions processed by ISTerre for 1505 Japanese GNSS stations. These products are position time series (North, East and Vertical), in the ITRF14 reference frame, calculated from RINEX files using the PPP strategy with GIPSYX software.",mds,True,findable,0,0,1,1,0,2022-05-20T15:30:44.000Z,2022-05-20T15:30:47.000Z,inist.osug,jbru,"GNSS products,GNSS data analysis,Time serie positioning","[{'subject': 'GNSS products', 'subjectScheme': 'main'}, {'subject': 'GNSS data analysis', 'subjectScheme': 'var'}, {'subject': 'Time serie positioning', 'subjectScheme': 'var'}]",,"['pos', 'PBO']"
-10.5281/zenodo.10394959,Data from 'Modeling and Solving Framework for Tactical Maintenance Planning Problems with Health Index considerations',Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Datasets used in the manuscript 'Modeling and Solving Framework for Tactical Maintenance Planning Problems with Health Index considerations'
-
-Format: CPLEX .dat data files",api,True,findable,0,0,0,0,0,2023-12-16T12:03:47.000Z,2023-12-16T12:03:47.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_raman_co2_co2-i,Raman band list of CO2 in natural solid CO2 (phase I),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",FIR-MIR Raman band list of the isotopes of $CO_2$ in natural solid $CO_2$ (phase I),mds,True,findable,0,0,0,0,0,2023-04-21T07:13:41.000Z,2023-04-21T07:13:41.000Z,inist.sshade,mgeg,"natural CO2 - phase I,Carbon dioxide,Carbon dioxide ice,Cubic CO2-I ice,Carbon dioxide,124-38-9,CO2,non polar molecular solid,molecular solids with apolar molecules,inorganic molecular solid,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural CO2 - phase I', 'subjectScheme': 'name'}, {'subject': 'Carbon dioxide', 'subjectScheme': 'name'}, {'subject': 'Carbon dioxide ice', 'subjectScheme': 'name'}, {'subject': 'Cubic CO2-I ice', 'subjectScheme': 'name'}, {'subject': 'Carbon dioxide', 'subjectScheme': 'IUPAC name'}, {'subject': '124-38-9', 'subjectScheme': 'CAS number'}, {'subject': 'CO2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'Raman scattering', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5281/zenodo.6517730,Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation - source data,Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Full data files for the paper: Duvillier, C., Eckert, N., Evin, G., and DeschÃ¢tres, M.: Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation, Nat. Hazards Earth Syst. Sci., 23, 1383â€“1408, https://doi.org/10.5194/nhess-23-1383-2023, 2023. Can be used to reproduce all the results of the paper and for further benchmarking of snow avalanche potential release area detection methods.",mds,True,findable,0,0,0,0,0,2022-05-04T16:42:51.000Z,2022-05-04T16:42:51.000Z,cern.zenodo,cern,"Snow Avalanches,Potential Release Area,,Validation,Confusion Matrix,Watershed,French Alps","[{'subject': 'Snow Avalanches'}, {'subject': 'Potential Release Area,'}, {'subject': 'Validation'}, {'subject': 'Confusion Matrix'}, {'subject': 'Watershed'}, {'subject': 'French Alps'}]",,
-10.25384/sage.21845348,sj-doc-1-acr-10.1177_02841851221138519 - Supplemental material for Validation of a screening algorithm for hepatic fibrosis by Doppler ultrasound and elastography in a general population,SAGE Journals,2023,,Text,In Copyright,"Supplemental material, sj-doc-1-acr-10.1177_02841851221138519 for Validation of a screening algorithm for hepatic fibrosis by Doppler ultrasound and elastography in a general population by Anne-Sophie Renard, Anita Paisant, Victoire Cartier, Paul CalÃ¨s, Mirela Goyet-Prelipcean, Edmond Geagea, Jean-Pierre Tasu, Christine Silvain, Mathilde Wagner, Aline Le Cleach, ValÃ©rie Vilgrain, Laurent Castera, Ivan Bricault, Thomas Decaens, CÃ©line Savoye-Collet, HÃ©lÃ¨ne Montialoux, Jean-Michel Correas, AnaÃ¯s Vallet-Pichard, JÃ©rÃ´me Boursier and Christophe AubÃ© in Acta Radiologica",mds,True,findable,0,0,0,0,0,2023-01-10T01:14:28.000Z,2023-01-10T01:14:28.000Z,figshare.sage,sage,"110320 Radiology and Organ Imaging,FOS: Clinical medicine","[{'subject': '110320 Radiology and Organ Imaging', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['36864 Bytes'],
-10.5061/dryad.27qf3,Data from: Landscape-scale distribution patterns of earthworms inferred from soil DNA,Dryad,2016,en,Dataset,Creative Commons Zero v1.0 Universal,"Assessing land-use effect on the diversity of soil biota has long been hampered by difficulties in collecting and identifying soil organisms over large areas. Recently, environmental DNA-based approaches coupled with next-generation sequencing were developed to study soil biodiversity. Here, we optimized a protocol based on soil DNA to examine the effects of land-use on earthworm communities in a mountain landscape. This approach allowed an efficient detection of earthworm diversity and highlighted a significant land-use effect on the distribution patterns of earthworms that was not revealed by a classical survey. Our results show that the soil DNA-based earthworm survey at the landscape-scale improves over previous approaches, and opens a way towards large-scale assessment of soil biodiversity and its drivers.",mds,True,findable,330,48,1,2,0,2015-02-05T15:21:48.000Z,2015-02-05T15:21:49.000Z,dryad.dryad,dryad,"earthworm,Spatial distribution,Land-use,Soil biodiversity,Holocene","[{'subject': 'earthworm'}, {'subject': 'Spatial distribution'}, {'subject': 'Land-use'}, {'subject': 'Soil biodiversity'}, {'subject': 'Holocene'}]",['62066006 bytes'],
-10.5281/zenodo.4244325,"Configurations and scripts to reproduce the numerical simulations of ""A two-fluid model for immersed granular avalanches with dilatancy effects"" article",Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This directory contains the main data to reproduce the results presented in the article ""A two-fluid model for immersed granular avalanches with dilatancy effects"" by Eduard Puig MontellÃ , Julien Chauchat, Bruno Chareyre, Cyrille Bonamy and Tian-Jian Hsu.<br> <br> The numerical results and experimental data extracted from Pailha et ad (2008) can be found inside ""NumericalData"" and ""ExperimentalData"" folders respectively. The script ""PressureVelocityPlot.py"" displays the evolution of the surface particle velocity and the excess of pore pressure with time for cases ranging from loose to dense granular avalanches. The input files needed to reproduce a dense granular avalanche (phi=0.592) in 1D and 2D are found in the following folders: ""1D_DenseCase"" and ""2D_DenseCase"". To accelerate the simulation, the files are given after 200 seconds of sedimentation in order to reach an equilibrium state. Please read the corresponding README.txt files to launch a 1D and/or a 2D simulation. Additionally, python scripts in each configuration are provided to evaluate the evolution of the main parameters during the avalanche.",mds,True,findable,0,0,0,0,0,2020-11-04T12:48:03.000Z,2020-11-04T12:48:04.000Z,cern.zenodo,cern,,,,
-10.17178/zaa_soil_temp.bioclim,Long term monitoring of near surface soil temperature in the french Alps,UGA â€“ OSUG â€“ CNRS,2021,en,Dataset,"Creative Commons Attribution 4.0 International,For any publication using ZAA data, depending on the contribution of the data to the scientific results obtained, data users should either propose co-authorship to the data providers (doi Project leaders) or at least acknowledge their contribution.
-The acknowledging sentence which should appear in publications using ZAA temp-soil data and products is in the readme file joint with the dataset","Monitoring of near-surface soil temperature in seasonaly snow-covered, mountain ecosystems located in the Lautaret-Galibier area of the French Alps. Data are part of a long-term monitoring programs examining the impact of climate change on snow cover dynamics, microclimate, species distribution and ecosystem functioning. Data include a GPS position, a date and time in UTC and a near-surface soil temperature (in Â°C) measured at 5 cm belowground using stand-alone temperature data logger.",mds,True,findable,0,0,0,0,0,2021-07-13T13:43:33.000Z,2021-07-13T13:43:34.000Z,inist.osug,jbru,"microclimate,mountain climate,long-term monitoring,soil,root zone,cold zone ecosystem,soil temperature","[{'subject': 'microclimate', 'subjectScheme': 'main'}, {'subject': 'mountain climate', 'subjectScheme': 'main'}, {'subject': 'long-term monitoring', 'subjectScheme': 'main'}, {'subject': 'soil', 'subjectScheme': 'main'}, {'subject': 'root zone', 'subjectScheme': 'main'}, {'subject': 'cold zone ecosystem', 'subjectScheme': 'main'}, {'subject': 'soil temperature', 'subjectScheme': 'var'}]",,['CSV']
-10.17178/emaa_c-plus_fine_0b142c87,Fine excitation of C+ by ortho-H2 and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",2 fine energy levels / 1 radiative transitions / 1 collisional transitions for para-H2 (10 temperatures in the range 5-500K) / 1 collisional transitions for ortho-H2 (10 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:34:44.000Z,2021-11-18T13:34:45.000Z,inist.osug,jbru,"target C+,excitationType Fine,collisional excitation,collider.0 para-H2,collider.1 ortho-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target C+', 'subjectScheme': 'main'}, {'subject': 'excitationType Fine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 ortho-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.6084/m9.figshare.23488967,Additional file 1 of 3DVizSNP: a tool for rapidly visualizing missense mutations identified in high throughput experiments in iCn3D,figshare,2023,,Dataset,Creative Commons Attribution 4.0 International,"Additional file 1. A table summarizing the features of 3DVizSNP, PhyreRisk, MuPit, and VIVID.",mds,True,findable,0,0,0,0,0,2023-06-10T03:21:52.000Z,2023-06-10T03:21:53.000Z,figshare.ars,otjm,"Space Science,Medicine,Genetics,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,80699 Information Systems not elsewhere classified,FOS: Computer and information sciences,Cancer,Plant Biology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '80699 Information Systems not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Plant Biology'}]",['29184 Bytes'],
-10.26302/sshade/experiment_sb_20210129_001,T-dependent optical constants of FeO,SSHADE/DOCCD (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Optical constants are obtained by reflectance measurements in a temperature range of 10 K to 300 K,mds,True,findable,0,0,0,0,0,2021-02-12T10:10:59.000Z,2021-02-12T10:11:00.000Z,inist.sshade,mgeg,"laboratory,oxide-hydroxide,FeO,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'oxide-hydroxide'}, {'subject': 'FeO'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['4 spectra'],['ASCII']
-10.5061/dryad.wpzgmsbp2,Assessing environmental DNA metabarcoding and camera trap surveys as complementary tools for biomonitoring of remote desert water bodies,Dryad,2021,en,Dataset,Creative Commons Zero v1.0 Universal,"Biodiversity assessments are indispensable tools for planning and monitoring conservation strategies. Camera traps (CT) are widely used to monitor wildlife and have proven their usefulness. Environmental DNA (eDNA)-based approaches are increasingly implemented for biomonitoring, combining sensitivity, high taxonomic coverage and resolution, non-invasiveness and easiness of sampling, but remain challenging for terrestrial fauna. However, in remote desert areas where scattered water bodies attract terrestrial species, which release their DNA into the water, this method presents a unique opportunity for their detection. In order to identify the most efficient method for a given study system, comparative studies are needed. Here, we compare CT and DNA metabarcoding of water samples collected from two desert ecosystems, the Trans-Altai Gobi in Mongolia and the Kalahari in Botswana. We recorded with CT the visiting patterns of wildlife and studied the correlation with the biodiversity captured with the eDNA approach. The aim of the present study was threefold: a) to investigate how well waterborne eDNA captures signals of terrestrial fauna in remote desert environments, which have been so far neglected in terms of biomonitoring efforts; b) to compare two distinct approaches for biomonitoring in such environments and c) to draw recommendations for future eDNA-based biomonitoring. We found significant correlations between the two methodologies and describe a detectability score based on variables extracted from CT data and the visiting patterns of wildlife. This supports the use of eDNA-based biomonitoring in these ecosystems and encourages further research to integrate the methodology in the planning and monitoring of conservation strategies.",mds,True,findable,144,15,0,0,0,2021-12-29T01:12:54.000Z,2021-12-29T01:12:55.000Z,dryad.dryad,dryad,,,['1367382692 bytes'],
-10.17178/emaa_cn_hyperfine_d9a30dbd,Hyperfine excitation of CN by electron and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",121 hyperfine energy levels / 337 radiative transitions / 2267 collisional transitions for electron (19 temperatures in the range 10-1000K) / 2628 collisional transitions for para-H2 (20 temperatures in the range 5-100K),mds,True,findable,0,0,0,0,0,2021-11-17T14:00:50.000Z,2021-11-17T14:00:51.000Z,inist.osug,jbru,"target CN,excitationType Hyperfine,collisional excitation,collider.0 electron,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target CN', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 electron', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.5281/zenodo.7221105,Frozen Light - Transverse Confinement of Waves in Three-dimensional Random Media,Zenodo,2022,,Software,"Creative Commons Attribution 4.0 International,Open Access",The code allows for computing the temporal evolution of the average spatial intensity profile resulting from transmission of a short pulse focused to a point on a slab of disordered medium.,mds,True,findable,0,0,0,0,0,2022-10-18T15:16:01.000Z,2022-10-18T15:16:02.000Z,cern.zenodo,cern,"Anderson localization,Wave scattering,Strong disorder,Wave diffusion","[{'subject': 'Anderson localization'}, {'subject': 'Wave scattering'}, {'subject': 'Strong disorder'}, {'subject': 'Wave diffusion'}]",,
-10.6084/m9.figshare.12886138,Additional file 4 of Epidural analgesia in ICU chest trauma patients with fractured ribs: retrospective study of pain control and intubation requirements,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 4: Table S2. Sensitivity analysis restricted to the 327 patients with an NRS pain score &gt;â€‰3 on ICU day 1.,mds,True,findable,0,0,1,1,0,2020-08-28T04:02:53.000Z,2020-08-28T04:02:54.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Neuroscience,Immunology,FOS: Clinical medicine,Science Policy,Mental Health,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}]",['14370 Bytes'],
-10.18709/perscido.2020.09.ds330,"Field campaign at Col du Lautaret 2016-2018 (2058 m a.s.l., French Alps): Snow surface properties and albedo measurements at Col du Lautaret",PerSciDo,2020,en,Dataset,,"This dataset contains the data of the manuscript ""Quantification of the radiative impact of light-absorbing particles during two contrasted snow seasons at Col du Lautaret (2058 m a.s.l., French Alps)"" published in The Cryosphere. It is made of spectral albedo measurements and analysis, manual snow pit measurements, automated atmospheric variables measurements.",fabrica,True,findable,0,0,0,0,0,2020-09-15T09:01:49.000Z,2020-09-15T09:01:49.000Z,inist.persyval,vcob,Snow science,"[{'lang': 'en', 'subject': 'Snow science'}]",['100 MB'],"['csv', 'netCDF4 classic']"
-10.26302/sshade/experiment_soc_20181115_001,"Fe K edge XAS HERFD (Kbeta1,3) and XES of synthetic magnetite Fe3O4 at ambient conditions",SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:07:52.000Z,2019-12-05T14:07:52.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,oxide-hydroxide,Fe3O4,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Fe3O4'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['3 spectra'],['ASCII']
-10.26302/sshade/experiment_lb_20170728_001,Mid-IR absorbance spectra of 3 bulk CK chondrites in KBr pellets at ambient temperature,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR absorbance spectra of bulk CK chondrites (ALH85002, EET92002, Maralinga) in KBr pellets at ambient temperature",mds,True,findable,0,0,0,0,0,2020-10-19T14:57:24.000Z,2020-11-02T16:12:17.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix ALH85002,complex mineral mix,chondrules ALH85002,CAIs ALH85002,physically adsorbed phase,adsorbed water on ALH85002 bulk,commercial,bromide,KBr,adsorbed water on KBr (Beck14),matrix EET92002,chondrules EET92002,CAIs EET92002,adsorbed water on EET92002 bulk,matrix Maralinga,chondrules Maralinga,CAIs Maralinga,adsorbed water on MARALINGA bulk,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix ALH85002'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules ALH85002'}, {'subject': 'CAIs ALH85002'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water on ALH85002 bulk'}, {'subject': 'commercial'}, {'subject': 'bromide'}, {'subject': 'KBr'}, {'subject': 'adsorbed water on KBr (Beck14)'}, {'subject': 'matrix EET92002'}, {'subject': 'chondrules EET92002'}, {'subject': 'CAIs EET92002'}, {'subject': 'adsorbed water on EET92002 bulk'}, {'subject': 'matrix Maralinga'}, {'subject': 'chondrules Maralinga'}, {'subject': 'CAIs Maralinga'}, {'subject': 'adsorbed water on MARALINGA bulk'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['3 spectra'],['ASCII']
-10.17178/draixbleone_gal_ain_met_1920,Meteorological data at the Ainac station of the Galabre watershed,IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This meteorological data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:33.000Z,2020-09-15T15:58:33.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
-10.26302/sshade/bandlist_abs_co2_co2-i,Absorption band list of CO2 in natural solid CO2 (phase I),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",FIR-MIR-NIR-VUV absorption band list of the isotopes of $CO_2$ in natural solid $CO_2$ (phase I),mds,True,findable,0,0,0,0,0,2023-04-21T07:10:59.000Z,2023-04-21T07:10:59.000Z,inist.sshade,mgeg,"natural CO2 - phase I,Carbon dioxide,Carbon dioxide ice,Cubic CO2-I ice,Carbon dioxide,124-38-9,CO2,non polar molecular solid,molecular solids with apolar molecules,inorganic molecular solid,absorption,FIR,MIR,NIR,VUV,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural CO2 - phase I', 'subjectScheme': 'name'}, {'subject': 'Carbon dioxide', 'subjectScheme': 'name'}, {'subject': 'Carbon dioxide ice', 'subjectScheme': 'name'}, {'subject': 'Cubic CO2-I ice', 'subjectScheme': 'name'}, {'subject': 'Carbon dioxide', 'subjectScheme': 'IUPAC name'}, {'subject': '124-38-9', 'subjectScheme': 'CAS number'}, {'subject': 'CO2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'VUV', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.5281/zenodo.10020983,robertxa/pytherion: First realease,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,Python code to convert Visual Top .tro file to Therion files (.th and .thconfig),api,True,findable,0,0,0,0,0,2023-10-19T08:43:17.000Z,2023-10-19T08:43:17.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.20221988,Additional file 7 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter caseâ€“control computed tomography study,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 7: Univariate and multivariate analyses of variables associated with CBABY LUNG,mds,True,findable,0,0,27,1,0,2022-07-04T06:41:18.000Z,2022-07-04T06:41:19.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['15158 Bytes'],
-10.26302/sshade/experiment_rc_20200506_000,VIS-NIR reflectance spectra collected during low-temperature and near-vacuum sublimation of spherical salty ice particles (67 Âµm average diameter) produced by freezing droplets of solutions of NaCl with three different concentrations,SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Spherical ice particles are produced by spraying droplets of salt solution into liquid nitrogen with the SPIPA-B setup. Centimeter-thick samples made of these particles are then introduced in the SCITEAS-2 simulations chamber and their slow sublimation at low temperature and in secondary vacuum is followed for several tens of hours by VIS-NIR hyperspectral imaging.,mds,True,findable,0,0,0,0,0,2023-06-09T17:15:07.000Z,2023-06-09T17:15:08.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor,water ice,NaCl hydrate,laboratory,inorganic molecular solid,chloride","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'NaCl hydrate', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'chloride', 'subjectScheme': 'compound type'}]",['248 spectra'],['ASCII']
-10.26302/sshade/bandlist_raman_eitelite,Raman bandlist of Eitelite,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR-FIR Raman bandlist of synthetic and natural Eitelite at 295K,mds,True,findable,0,0,5,0,0,2023-08-30T22:25:03.000Z,2023-08-30T22:25:03.000Z,inist.sshade,mgeg,"Eitelite,Sodium cation,Magnesium(II) cation,Carbonate anion,Sodium(1+) cation,Magnesium(2+) cation,17341-25-2,22537-22-0,Na+,Mg2+,(CO3)2-,Na2Mg(CO3)2,Eitelite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,-Eitelite- group,14.03.02.01,05.AC.05,Raman scattering,FIR,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Eitelite', 'subjectScheme': 'name'}, {'subject': 'Sodium cation', 'subjectScheme': 'name'}, {'subject': 'Magnesium(II) cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Sodium(1+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': 'Magnesium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '17341-25-2', 'subjectScheme': 'CAS number'}, {'subject': '22537-22-0', 'subjectScheme': 'CAS number'}, {'subject': 'Na+', 'subjectScheme': 'formula'}, {'subject': 'Mg2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'Na2Mg(CO3)2', 'subjectScheme': 'formula'}, {'subject': 'Eitelite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': '-Eitelite- group', 'subjectScheme': 'Dana group'}, {'subject': '14.03.02.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AC.05', 'subjectScheme': 'Strunz code'}, {'subject': 'Raman scattering', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.26302/sshade/experiment_bs_20170830_001,Mid-IR transmission and optical constants spectra of crystalline C6H6 at 130K,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Mid-IR transmission (thin film 1.65Âµm thick) and optical constants spectra of crystalline C6H6 at 130K,mds,True,findable,0,0,0,0,0,2020-01-02T06:20:42.000Z,2020-01-02T06:20:42.000Z,inist.sshade,mgeg,"laboratory,organic molecular solid,C6H6 crystalline ice,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'organic molecular solid'}, {'subject': 'C6H6 crystalline ice'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'optical constants'}]",['2 spectra'],['ASCII']
-10.5061/dryad.k98sf7m98,Data from: Caveolae and Bin1 form ring-shaped platforms for T-tubule initiation,Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Excitation-contraction coupling requires a highly specialized membrane structure, the triad, composed of a plasma membrane invagination, the T-tubule, surrounded by two sarcoplasmic reticulum terminal cisternae. Although the precise mechanisms governing T-tubule biogenesis and triad formation remain largely unknown, studies have shown that caveolae participate in T-tubule formation and mutations of several of their constituents induce muscle weakness and myopathies. Here, we demonstrate that, at the plasma membrane, caveolae composed of caveolin-3 and Bin1 assemble into ring-like structures from which emerge tubes enriched in the dihydropyridine receptor. Overexpression of Bin1 leads to the formation of both rings and tubes and we show that Bin1 forms scaffolds on which caveolae accumulate to form the initial T-tubule. Cav3 deficiency caused by either gene silencing or pathogenic mutations causes defective ring formation and perturbed Bin1-mediated tubulation that may explain defective T-tubule organization in mature muscles. Our results uncover new pathophysiological mechanisms that may prove relevant to myopathies caused by Cav3 or Bin1 variants.",mds,True,findable,113,8,0,2,0,2023-04-26T16:47:50.000Z,2023-04-26T16:47:51.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['203816 bytes'],
-10.26302/sshade/experiment_bs_20201114_009,"Near-infrared reflectance spectra at low temperature (300-90K) of Larderellite [(NH4)B5O7(OH)2Â·H2O] powders with three grain size ranges (32-80, 80-125 and 125-150Âµm)",SSHADE/CSS (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Near-infrared reflectance spectra at low temperature (297-90K) of Larderellite powder [(NH4)B5O7(OH)2.H2O] with 32-80 Âµm grain size and at room temperature with 80-125Âµm and 125-150Âµm grain sizes,mds,True,findable,0,0,0,0,0,2022-04-23T08:17:40.000Z,2022-04-23T08:17:41.000Z,inist.sshade,mgeg,"natural terrestrial,borate,Larderellite,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'natural terrestrial'}, {'subject': 'borate'}, {'subject': 'Larderellite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['14 spectra'],['ASCII']
-10.26302/sshade/experiment_ag_20131028_000,"Evolution with time of the MIR absorbance spectrum of Portlandite at -10, 0 and 10Â°C in contact with a mix of 1 bar CO2 gas and 1 bar air",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Evolution with time of the MIR absorbance spectrum of Portlandite at -10, 0 and 10Â°C in contact with a mix of 1 bar CO2 gas and 1 bar air",mds,True,findable,0,0,0,0,0,2019-12-28T14:55:07.000Z,2019-12-28T14:55:08.000Z,inist.sshade,mgeg,"commercial,oxide-hydroxide,Portlandite,carbonate,Calcite,Aragonite,inorganic molecular solid,H2O ice,physically adsorbed phase,Adsorbed water,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance","[{'subject': 'commercial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Portlandite'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'Aragonite'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O ice'}, {'subject': 'physically adsorbed phase'}, {'subject': 'Adsorbed water'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['30 spectra'],['ASCII']
-10.5061/dryad.t33v4k14,Data from: Blocking human contaminant DNA during PCR allows amplification of rare mammal species from sedimentary ancient DNA,Dryad,2011,en,Dataset,Creative Commons Zero v1.0 Universal,"Analyses of degraded DNA are typically hampered by contamination, especially when employing universal primers such as commonly used in environmental DNA studies. In addition to false-positive results, the amplification of contaminant DNA may cause false-negative results due to competition, or bias, during the PCR. In this study, we test the utility of human-specific blocking primers in mammal diversity analyses of ancient permafrost samples from Siberia. Using quantitative PCR (qPCR) on human and mammoth DNA we first optimised the design and concentration of blocking primer in the PCR. Subsequently, 454 pyrosequencing of ancient permafrost samples amplified with and without the addition of blocking primer revealed that DNA sequences from a diversity of mammalian representatives of the Beringian megafauna were retrieved only when the blocking primer was added to the PCR. Notably, we observe the first retrieval of woolly rhinoceros (C. antiquitatis) DNA from ancient permafrost cores. In contrast, reactions without blocking primer resulted in complete dominance by human DNA sequences. These results demonstrate that in ancient environmental analysis, the PCR can be biased towards amplification of contaminant sequences to such an extent that retrieval of the endogenous DNA is severely restricted. The application of blocking primers is a promising tool to avoid this bias and can greatly enhance the quantity and the diversity of the endogenous DNA sequences that are amplified.",mds,True,findable,269,13,1,2,0,2011-09-09T15:51:56.000Z,2011-09-09T15:51:56.000Z,dryad.dryad,dryad,"Genomics/Proteomics,Mammalia,Bioinfomatics/Phyloinfomatics","[{'subject': 'Genomics/Proteomics'}, {'subject': 'Mammalia'}, {'subject': 'Bioinfomatics/Phyloinfomatics'}]",['777804 bytes'],
-10.17178/emaa_n2h-plus_rotation_5874615e,Rotation excitation of N2H+ by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2021,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",21 rotation energy levels / 20 radiative transitions / 210 collisional transitions for para-H2 (26 temperatures in the range 5-500K),mds,True,findable,0,0,0,0,0,2021-11-18T13:35:25.000Z,2021-11-18T13:35:26.000Z,inist.osug,jbru,"target N2H+,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target N2H+', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.57745/j2a44q,Numerical simulation of rainfall and runoff driven erosion at the hillslope scale: four rainfall events on the Pradel plot,Recherche Data Gouv,2023,,Dataset,,"This dataset correspond to rainfall and runoff measurement of a Mediterranean hillslope vineyard of 130 mÂ² located in the region of Cevennes-Vivarais (south eastern France), which is part of the Mediterranean Hydrometeorological Observatory (OHMCV). The hillslope is 60 m long and 2.2 m wide. Its topography was measured at 15 cross sections and 6 points per cross section, with an uncertainty of 1 cm in the three dimensions. The average longitudinal slope is around 15%, and there is a rill that conveys all the surface runoff to the downstream outlet, with no runoff losses through the lateral sides. The soil is calcareous and covered by sparse vegetation, with an approximate composition of 34% clay, 41% silt and 25% sand. The soil erosion data monitored during the four storm events were used to calibrate and validate Iber+ models also provided in the dataset. These data sets and the DEM of the vineyard are described in detail and can be downloaded from Nord et al. (2017).",mds,True,findable,20,0,0,0,0,2023-04-04T14:29:07.000Z,2023-04-06T07:03:24.000Z,rdg.prod,rdg,,,,
-10.57745/lutmne,Long-term global mining data to 2019,Recherche Data Gouv,2022,,Dataset,,"This dataset brings together several types of mining data for 50 mining elements* provided by the U.S. Geological Survey (USGS). Long trend global mining production to 2019 and global reserves data to 2021 and global resources when available are extracted from annual reports, documentation and raw data. *Aluminium, Antimony, Arsenic, Bauxite, Beryllium, Boron, Bromine, Cadmium, Cesium, Chromium, Cobalt, Copper, Gallium, Germanium, Gold, Graphite, Hafnium, Indium, Iodine, Iron, Lead, Lithium, Magnesium, Manganese, Mercury, Molybdenum, Nickel, Niobium, Phosphorus, Platinum group metal, Rare Earths, Rhenium, Rubidium, Selenium, Silica, Silicon, Silver, Strontium, Sulfur, Tantalum, Tellurium, Thallium, Thorium, Tin, Titanium, Tungsten, Vanadium, Yttrium, Zinc, Zirconium",mds,True,findable,105,12,0,0,0,2022-12-07T11:17:07.000Z,2022-12-09T19:55:08.000Z,rdg.prod,rdg,,,,
-10.17178/ohmcv.dsd.mre.12-14.1,"DSD network, Mont-Redon",CNRS - OSUG - OREME,2011,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:19.000Z,2017-03-10T17:09:20.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.5061/dryad.k31d4,"Data from: Replication levels, false presences, and the estimation of presence / absence from eDNA metabarcoding data",Dryad,2014,en,Dataset,Creative Commons Zero v1.0 Universal,"Environmental DNA (eDNA) metabarcoding is increasingly used to study the present and past biodiversity. eDNA analyses often rely on amplification of very small quantities or degraded DNA. To avoid missing detection of taxa that are actually present (false negatives), multiple extractions and amplifications of the same samples are often performed. However, the level of replication needed for reliable estimates of the presence/absence patterns remains an unaddressed topic. Furthermore, degraded DNA and PCR/sequencing errors might produce false positives. We used simulations and empirical data to evaluate the level of replication required for accurate detection of targeted taxa in different contexts and to assess the performance of methods used to reduce the risk of false detections. Furthermore, we evaluated whether statistical approaches developed to estimate occupancy in the presence of observational errors can successfully estimate true prevalence, detection probability and false-positive rates. Replications reduced the rate of false negatives; the optimal level of replication was strongly dependent on the detection probability of taxa. Occupancy models successfully estimated true prevalence, detection probability and false-positive rates, but their performance increased with the number of replicates. At least eight PCR replicates should be performed if detection probability is not high, such as in ancient DNA studies. Multiple DNA extractions from the same sample yielded consistent results; in some cases, collecting multiple samples from the same locality allowed detecting more species. The optimal level of replication for accurate species detection strongly varies among studies and could be explicitly estimated to improve the reliability of results.",mds,True,findable,257,33,1,1,0,2014-10-23T19:31:38.000Z,2014-10-23T19:31:40.000Z,dryad.dryad,dryad,"Octolasion cyaneum,Aporrectodea icterica,2011,Occupancy Modelling,Aporrectodea rosea,Aporrectodea longa,Lumbricidae,Lumbricus castaneus,replication levels,Environmental sequences,Lumbricus rubellus,Aporrectodea caliginosa,Dendrodrilus rubidus,species occurrence,Lumbricus terrestris","[{'subject': 'Octolasion cyaneum'}, {'subject': 'Aporrectodea icterica'}, {'subject': '2011'}, {'subject': 'Occupancy Modelling'}, {'subject': 'Aporrectodea rosea'}, {'subject': 'Aporrectodea longa'}, {'subject': 'Lumbricidae'}, {'subject': 'Lumbricus castaneus'}, {'subject': 'replication levels'}, {'subject': 'Environmental sequences'}, {'subject': 'Lumbricus rubellus'}, {'subject': 'Aporrectodea caliginosa'}, {'subject': 'Dendrodrilus rubidus'}, {'subject': 'species occurrence'}, {'subject': 'Lumbricus terrestris'}]",['13212 bytes'],
-10.26302/sshade/experiment_bs_20121219_001,Near-IR bidirectional reflection spectra (i=0Â°/e=30Â°) of Palagonite JSC Mars-1 with different amounts of adsorbed H2O at -30Â°C,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Near-IR bidirectional reflection spectra (at fixed geometry: i=0Â°/e=30Â°) of Palagonite JSC Mars-1 simulant with different amounts of adsorbed H2O at -30Â°C, under increasing, then decreasing pressure of H2O vapor.",mds,True,findable,0,0,0,0,0,2019-11-02T10:47:31.000Z,2019-11-02T10:47:32.000Z,inist.sshade,mgeg,"solid,natural terrestrial,oxide-hydroxide,Magnetite,Ulvospinel,tektosilicate,Anorthite,nesosilicate,Olivine,Ferrihydrite,inosilicate,Augite,Orthopyroxenes,physically adsorbed phase,Adsorbed - Interlayer H2O,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'natural terrestrial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Magnetite'}, {'subject': 'Ulvospinel'}, {'subject': 'tektosilicate'}, {'subject': 'Anorthite'}, {'subject': 'nesosilicate'}, {'subject': 'Olivine'}, {'subject': 'Ferrihydrite'}, {'subject': 'inosilicate'}, {'subject': 'Augite'}, {'subject': 'Orthopyroxenes'}, {'subject': 'physically adsorbed phase'}, {'subject': 'Adsorbed - Interlayer H2O'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['36 spectra'],['ASCII']
-10.5281/zenodo.1035485,Code and data from: Global conservation of species' niches,Zenodo,2020,en,Software,"GNU Affero General Public License v3.0 or later,Open Access","This digital archive contains code and data associated with the publication ""Global conservation of speciesâ€™ niches"" by Hanson et al. (2020). Note that many of the raw data files (e.g. extent of suitable habitat maps, protected area data) are not available in this archive, and must be obtained from the original sources (see README files for more information).",mds,True,findable,34,0,0,0,0,2020-03-19T21:03:35.000Z,2020-03-19T21:03:36.000Z,cern.zenodo,cern,"protected areas,evolution,biodiversity,Key Biodiversity Areas","[{'subject': 'protected areas'}, {'subject': 'evolution'}, {'subject': 'biodiversity'}, {'subject': 'Key Biodiversity Areas'}]",,
-10.5061/dryad.rm2n41j,"Data from: Diet shifts by adult flightless dung beetles Circellium bacchus, revealed using DNA metabarcoding, reflect complex life histories",Dryad,2018,en,Dataset,Creative Commons Zero v1.0 Universal,"Life history changes may change resource use. Such shifts are not well understood in the dung beetles, despite recognized differences in larval and adult feeding ability. We use the flightless dung beetle Circellium bacchus to explore such shifts, identifying dung sources of adults using DNA metabarcoding, and comparing these with published accounts of larval dung sources. C. bacchus is traditionally considered to specialise on the dung of large herbivores for both larval and adult feeding. We successfully extracted mammal DNA from 151 adult C. bacchus fecal samples, representing 16 mammal species (ranging from elephants to small rodents), many of which are hitherto undescribed in the diet. Adult C. bacchus showed clear dung source preferences, especially for large herbivores inhabiting dense-cover vegetation. Our approach also confirmed the presence of cryptic taxa in the study area, and we propose this may be used for biodiversity survey and monitoring purposes. Murid rodent feces were the most commonly fed-upon dung source (77.5%) for adult C. bacchus, differing markedly from the large and megaherbivore dung sources used for larval rearing. These findings support the hypothesis of life history-specific shifts in resource use in dung beetles, and reveal a hitherto unsuspected, but ecologically important, role of these dung beetles in consuming rodent feces. The differences in feeding abilities of the larval and adult life history stages have profound consequences for their resource use and foraging strategies, and hence the ecological role of dung beetles. This principle and its ecological consequences should be explored in other scarabaeids.",mds,True,findable,185,15,1,1,0,2018-07-02T15:51:09.000Z,2018-07-02T15:51:16.000Z,dryad.dryad,dryad,"Equus burchellii,Rhabdomys pumilio,Cephalophus sp.,biodiversity survey,Next Generation Sequencing,Tragelaphus strepsiceros,Canis mesomelas,rodent feces,Loxodonta africana,Circellium bacchus,Potamochoerus larvatus,Modern data,Syncerus caffer,Michaelamys sp.,Phacochoerus africanus,Otomys sp.,Philantomba monticola,Holocene,Tragelaphus scriptus,Hystrix africaeaustralis","[{'subject': 'Equus burchellii'}, {'subject': 'Rhabdomys pumilio'}, {'subject': 'Cephalophus sp.'}, {'subject': 'biodiversity survey'}, {'subject': 'Next Generation Sequencing'}, {'subject': 'Tragelaphus strepsiceros'}, {'subject': 'Canis mesomelas'}, {'subject': 'rodent feces'}, {'subject': 'Loxodonta africana'}, {'subject': 'Circellium bacchus'}, {'subject': 'Potamochoerus larvatus'}, {'subject': 'Modern data'}, {'subject': 'Syncerus caffer'}, {'subject': 'Michaelamys sp.'}, {'subject': 'Phacochoerus africanus'}, {'subject': 'Otomys sp.'}, {'subject': 'Philantomba monticola'}, {'subject': 'Holocene'}, {'subject': 'Tragelaphus scriptus'}, {'subject': 'Hystrix africaeaustralis'}]",['9074554 bytes'],
-10.26302/sshade/experiment_dt_20180117_003,Mn K edge XAS transmission of Mn metallic reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-16T07:51:59.000Z,2019-11-16T07:52:00.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Mn,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Mn'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.26302/sshade/experiment_bs_20231304_001,Near-infrared BRDF spectra in the principal plane of Salammoniac and Mascagnite 32-80Âµm grain size powders at 300K,SSHADE/CSS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Near-infrared BRDF spectra in the principal plane (i=0, 30, 60Â°; e= -70, -60, -40, -20, 0, 20, 40, 60, 70Â°) of Salammoniac and Mascagnite 32-80Âµm grain size powders at 300K",mds,True,findable,0,0,0,0,0,2023-05-25T08:58:11.000Z,2023-05-25T08:58:11.000Z,inist.sshade,mgeg,"laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor,Salammoniac,Mascagnite,natural terrestrial,halide,sulfate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Salammoniac', 'subjectScheme': 'name'}, {'subject': 'Mascagnite', 'subjectScheme': 'name'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'halide', 'subjectScheme': 'compound type'}, {'subject': 'sulfate', 'subjectScheme': 'compound type'}]",['2 spectra'],['ASCII']
-10.5281/zenodo.4264747,Vocal drum sounds in Human Beatboxing: an acoustic and articulatory exploration using electromagnetic articulography,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",This dataset constitutes the supplementary material of a paper in review in the Journal of the Acoustical Society of America (JASA),mds,True,findable,0,0,0,1,0,2020-11-09T16:44:37.000Z,2020-11-09T16:44:37.000Z,cern.zenodo,cern,"beatbox,vocal drum sound,boxeme","[{'subject': 'beatbox'}, {'subject': 'vocal drum sound'}, {'subject': 'boxeme'}]",,
-10.5281/zenodo.8247362,Solar-powered Shape-changing Origami Microfliers,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Datasets used in the paper: ""Solar-powered Shape-changing Origami Microfliers"". This deposit contains the <strong>entirety</strong> of the raw datasets collected from real world experiments used to generate all of the figures and supplementary materials in the aforementioned paper. These also include the MCU's source code and PCB design files used to create the leaf-out origami robot prototypes. Please see the Readme for more information.",mds,True,findable,0,0,0,0,0,2023-09-13T18:09:22.000Z,2023-09-13T18:09:22.000Z,cern.zenodo,cern,"Origami Microfliers,Battery-Free Robotics,Wireless Sensor Networks","[{'subject': 'Origami Microfliers'}, {'subject': 'Battery-Free Robotics'}, {'subject': 'Wireless Sensor Networks'}]",,
-10.5061/dryad.wm37pvmkw,"Forest inventory data from Finland and Sweden for: Demographic performance of European tree species at their hot and cold climatic edges, plus ancillary climate data",Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"1. Species range limits are thought to result from a decline in demographic performance at range edges. However, recent studies reporting contradictory patterns in species demographic performance at their edges cast doubt on our ability to predict climate change demographic impacts. To understand these inconsistent demographic responses at the edges, we need to shift the focus from geographic to climatic edges and analyse how species responses vary with climatic constraints at the edge and speciesâ€™ ecological strategy. 2. Here we parameterised integral projection models with climate and competition effects for 27 tree species using forest inventory data from over 90,000 plots across Europe. Our models estimate size-dependent climatic responses and evaluate their effects on two life trajectory metrics: lifespan and passage time - the time to grow to a large size. Then we predicted growth, survival, lifespan, and passage time at the hot and dry or cold and wet edges and compared them to their values at the species climatic centre to derive indices of demographic response at the edge. Using these indices, we investigated whether differences in species demographic response between hot and cold edges could be explained by their position along the climate gradient and functional traits related to their climate stress tolerance. 3. We found that at cold and wet edges of European tree species, growth and passage time were constrained, whereas at their hot and dry edges, survival and lifespan were constrained. Demographic constraints at the edge were stronger for species occurring in extreme conditions, i.e. in hot edges of hot-distributed species and cold edges of cold-distributed species. Species leaf nitrogen content was strongly linked to their demographic responses at the edge. In contrast, we found only weak links with wood density, leaf size, and xylem vulnerability to embolism. 4. Synthesis. Our study presents a more complicated picture than previously thought with demographic responses that differ between hot and cold edges. Predictions of climate change impacts should be refined to include edge and species characteristics.",mds,True,findable,612,40,0,3,0,2020-10-19T20:59:17.000Z,2020-10-19T20:59:18.000Z,dryad.dryad,dryad,"FOS: Natural sciences,FOS: Natural sciences,vitale rate","[{'subject': 'FOS: Natural sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Natural sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'vitale rate'}]",['26769397 bytes'],
-10.5061/dryad.pp72j,"Data from: Is there any evidence for rapid, genetically-based, climatic niche expansion in the invasive common ragweed?",Dryad,2017,en,Dataset,Creative Commons Zero v1.0 Universal,"Climatic niche shifts have been documented in a number of invasive species by comparing the native and adventive climatic ranges in which they occur. However, these shifts likely represent changes in the realized climatic niches of invasive species, and may not necessarily be driven by genetic changes in climatic affinities. Until now the role of rapid niche evolution in the spread of invasive species remains a challenging issue with conflicting results. Here, we document a likely genetically-based climatic niche expansion of an annual plant invader, the common ragweed (Ambrosia artemisiifolia L.), a highly allergenic invasive species causing substantial public health issues. To do so, we looked for recent evolutionary change at the upward migration front of its adventive range in the French Alps. Based on species climatic niche models estimated at both global and regional scales we stratified our sampling design to adequately capture the species niche, and localized populations suspected of niche expansion. Using a combination of species niche modeling, landscape genetics models and common garden measurements, we then related the species genetic structure and its phenotypic architecture across the climatic niche. Our results strongly suggest that the common ragweed is rapidly adapting to local climatic conditions at its invasion front and that it currently expands its niche toward colder and formerly unsuitable climates in the French Alps (i.e. in sites where niche models would not predict its occurrence). Such results, showing that species climatic niches can evolve on very short time scales, have important implications for predictive models of biological invasions that do not account for evolutionary processes.",mds,True,findable,200,9,1,1,0,2016-04-05T13:32:34.000Z,2016-04-05T13:32:35.000Z,dryad.dryad,dryad,"2000-2010,Ambrosia artemisiifolia L.","[{'subject': '2000-2010'}, {'subject': 'Ambrosia artemisiifolia L.'}]",['1326414 bytes'],
-10.5281/zenodo.8421859,"Codes of the article ""evolutionary dynamics of plasting foraging and its ecological consequences: a resource-consumer model""",Zenodo,2023,,Software,Open Access,"The ""Codes"" folder contains the MATLAB codes used for all the simulations. In order to run some of these codes, you will need to download the simulation output (.mat format) from the ""Data"" folder and from the link in the README for this folder. The ""Figures"" folder contains all the figures in the paper and appendices. Finally, the appendices to the paper are in the Appendix.pdf file.",mds,True,findable,0,0,0,0,0,2023-10-09T13:51:19.000Z,2023-10-09T13:51:20.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_cf_20200723_000,Vis BRDF of binary mixtures of silicon dioxide (SiO2) particles (0.5 - 10 Âµm) and Juniper charcoal particles (less than 50 Âµm),SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2023-12-07T08:35:25.000Z,2023-12-07T08:35:26.000Z,inist.sshade,mgeg,"laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor,Quartz polymorphs,Werth-Metall Juniper Charcoal,mineral,solid,commercial,tektosilicate,organic molecular solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Quartz polymorphs', 'subjectScheme': 'name'}, {'subject': 'Werth-Metall Juniper Charcoal', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}]",['11 spectra'],['ASCII']
-10.6084/m9.figshare.24202750,Additional file 2 of Obstructive sleep apnea: a major risk factor for COVID-19 encephalopathy?,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Additional file 2: Supplemental Table 2. Comparison of patient characteristics at the time of COVID-19 onset and COVID-19 acute encephalopathy between definite OSA group and No OSA group.,mds,True,findable,0,0,0,0,0,2023-09-27T03:26:09.000Z,2023-09-27T03:26:10.000Z,figshare.ars,otjm,"Biophysics,Medicine,Cell Biology,Neuroscience,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Cancer,Mental Health,Virology","[{'subject': 'Biophysics'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Virology'}]",['28280 Bytes'],
-10.5281/zenodo.7092357,Code for PhD thesis: Numerical Analysis for the reconciliation in space and time of the discretizations of the air-sea exchanges and their parameterization,Zenodo,2022,en,Software,"Creative Commons Attribution 4.0 International,Open Access","Python3 code used to generate the Figures of the PhD thesis ""Numerical Analysis for the reconciliation in space and time of the discretizations of the air-sea exchanges and their parameterization"". Each chapter has a Jupyter Notebook associated to it. Some scientific packages for python3 are necessary to run the code (progressbar, scipy, numba, matplotlib).",mds,True,findable,0,0,0,0,0,2022-09-26T08:29:49.000Z,2022-09-26T08:29:49.000Z,cern.zenodo,cern,"Schwarz methods,Waveform relaxation,Semi-discrete,Finite Volume methods","[{'subject': 'Schwarz methods'}, {'subject': 'Waveform relaxation'}, {'subject': 'Semi-discrete'}, {'subject': 'Finite Volume methods'}]",,
-10.26302/sshade/experiment_soc_20181115_005,"Fe K edge XAS HERFD (Kbeta1,3) and XES of synthetic maghemite gamma-Fe2O3 at ambient conditions",SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T14:22:39.000Z,2019-12-05T14:22:40.000Z,inist.sshade,mgeg,"solid,commercial,homopolymer,Cellulose,laboratory,oxide-hydroxide,Fe2O3,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'homopolymer'}, {'subject': 'Cellulose'}, {'subject': 'laboratory'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Fe2O3'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['3 spectra'],['ASCII']
-10.26302/sshade/bandlist_abs_so_ar-matrix,Absorption band list of SO in Ar matrix,SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR absorption band list of the isotopes of SO in Ar matrix,mds,True,findable,0,0,0,0,0,2023-05-13T14:00:29.000Z,2023-05-13T14:00:29.000Z,inist.sshade,mgeg,"natural SO in Ar matrix,Argon,Sulfur monoxide,solid alpha Argon,$\alpha$-phase,Argon,Sulfur monoxide,7440-37-1,13827-32-2,Ar,SO,tridimentional covalent network solid,molecular solids with apolar molecules,elemental solid,absorption,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural SO in Ar matrix', 'subjectScheme': 'name'}, {'subject': 'Argon', 'subjectScheme': 'name'}, {'subject': 'Sulfur monoxide', 'subjectScheme': 'name'}, {'subject': 'solid alpha Argon', 'subjectScheme': 'name'}, {'subject': '$\\alpha$-phase', 'subjectScheme': 'name'}, {'subject': 'Argon', 'subjectScheme': 'IUPAC name'}, {'subject': 'Sulfur monoxide', 'subjectScheme': 'IUPAC name'}, {'subject': '7440-37-1', 'subjectScheme': 'CAS number'}, {'subject': '13827-32-2', 'subjectScheme': 'CAS number'}, {'subject': 'Ar', 'subjectScheme': 'formula'}, {'subject': 'SO', 'subjectScheme': 'formula'}, {'subject': 'tridimentional covalent network solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'elemental solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5061/dryad.cz8w9gj06,"Using proxies of microbial communityâ€weighted means traits to explain the cascading effect of management intensity, soil and plant traits on ecosystem resilience in mountain grasslands",Dryad,2019,en,Dataset,Creative Commons Zero v1.0 Universal,"1. Trait-based approaches provide a framework to understand the role of functional biodiversity on ecosystem functioning under global change. While plant traits have been reported as potential drivers of soil microbial community composition and resilience, studies directly assessing microbial traits are scarce, limiting our mechanistic understanding of ecosystem functioning. 2. We used microbial biomass and enzyme stoichiometry, and mass-specific enzymes activity as proxies of microbial community-weighted mean (CWM) traits, to infer trade-offs in microbial strategies of resource use with cascading effects on ecosystem resilience. We simulated a drought event on intact plant-soil mesocosms extracted from mountain grasslands along a management intensity gradient. Ecosystem processes and properties related to nitrogen cycling were quantified before, during and after drought to characterize ecosystem resilience. 3. Soil microbial CWM traits and ecosystem resilience to drought were strongly influenced by grassland type. Structural equation modelling revealed a cascading effect from management to ecosystem resilience through modifications in soil nutrients, and plant and microbial CWM traits. Overall, our results depict a shift from high investment in extracellular enzymes in nutrient poor soils (oligotrophic strategy), to a copiotrophic strategy with low microbial biomass N:P and low investment in extracellular enzymes associated with exploitative plant traits in nutrient rich soils. 4. Microbial CWM traits responses to management intensity were highly related to ecosystem resilience. Microbial communities with a copiotrophic strategy had lower resistance but higher recovery to drought, while microbial communities with an oligotrophic strategy showed the opposite responses. The unexpected trade-off between plant and microbial resistance suggested that the lower resistance of copiotrophic microbial communities enabled plant resistance to drought. 5. Synthesis Grassland management has cascading effects on ecosystem resilience through its combined effects on soil nutrients and plant traits propagating to microbial traits and resilience. We suggest that intensification of permanent grassland management and associated increases in soil nutrient availability decreased plant-microbe competition for N under drought through the selection of drought-sensitive microbial communities with a copiotrophic strategy that promoted plant resistance. Including proxies of microbial CWM traits into the functional trait framework will strengthen our understanding of soil ecosystem functioning under global change.",mds,True,findable,141,18,0,1,0,2019-11-22T18:54:31.000Z,2019-11-22T18:54:32.000Z,dryad.dryad,dryad,"extracellular enzymes,Mountain grassland,soil microbial community,Stoichiometry","[{'subject': 'extracellular enzymes'}, {'subject': 'Mountain grassland'}, {'subject': 'soil microbial community'}, {'subject': 'Stoichiometry', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['62792 bytes'],
-10.5281/zenodo.3552787,fNIRS-DOT videos from David Orive-Miguel PhD thesis,Zenodo,2019,,Audiovisual,"Creative Commons Attribution 4.0 International,Open Access",fNIRS Diffuse Optical Tomography videos. The experimental measurements were obtained during my secondment at Politecnico di Milano.,mds,True,findable,0,0,0,0,0,2019-11-25T16:55:12.000Z,2019-11-25T16:55:13.000Z,cern.zenodo,cern,fnirs;dot,[{'subject': 'fnirs;dot'}],,
-10.26302/sshade/experiment_op_20180119_001,Vis-NIR reflectance spectra of the sublimation of Water ice particles containing 1 wt.% Smectite in intra-mixture,SSHADE/BYPASS (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-03-31T11:13:02.000Z,2020-03-31T11:13:02.000Z,inist.sshade,mgeg,"solid,laboratory,inorganic molecular solid,water ice,phyllosilicate,Na-Montmorillonite,tektosilicate,Quartz,Plagioclase,sulfate,Gypsum,carbonate,Calcite,Illite,Dolomite,Kaolinite,Chlorites,inosilicate,Clinopyroxenes,Orthopyroxenes,laboratory measurement,biconical reflection,imaging,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'water ice'}, {'subject': 'phyllosilicate'}, {'subject': 'Na-Montmorillonite'}, {'subject': 'tektosilicate'}, {'subject': 'Quartz'}, {'subject': 'Plagioclase'}, {'subject': 'sulfate'}, {'subject': 'Gypsum'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'Illite'}, {'subject': 'Dolomite'}, {'subject': 'Kaolinite'}, {'subject': 'Chlorites'}, {'subject': 'inosilicate'}, {'subject': 'Clinopyroxenes'}, {'subject': 'Orthopyroxenes'}, {'subject': 'laboratory measurement'}, {'subject': 'biconical reflection'}, {'subject': 'imaging'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['58 spectra'],['ASCII']
-10.26302/sshade/experiment_sb_20200117_002,Optical constants in the MIR and FIR for an oriented enstatite crystal parallel to the three crystallographic axes,SSHADE/DOCCD (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-01-24T08:34:01.000Z,2020-01-24T08:35:47.000Z,inist.sshade,mgeg,"natural terrestrial,inosilicate,Enstatite,laboratory measurement,specular reflection,macroscopic,MIR,Mid-Infrared,FIR,Far-Infrared,optical constants","[{'subject': 'natural terrestrial'}, {'subject': 'inosilicate'}, {'subject': 'Enstatite'}, {'subject': 'laboratory measurement'}, {'subject': 'specular reflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'FIR'}, {'subject': 'Far-Infrared'}, {'subject': 'optical constants'}]",['3 spectra'],['ASCII']
-10.5281/zenodo.5769631,Magnetic resonance imaging of the octopus nervous system,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Anatomical magnetic-resonance imaging of an octopus vulgaris with 0.5mm slice thickness and 0.25 by 0.25 mm in-plane resolution. The companion data paper details the acquisition procedure.,mds,True,findable,0,0,0,0,0,2021-12-17T17:15:46.000Z,2021-12-17T17:15:47.000Z,cern.zenodo,cern,"octopus vulgaris,MRI,cephalopod,https://species.wikimedia.org/wiki/Octopus_vulgaris","[{'subject': 'octopus vulgaris'}, {'subject': 'MRI'}, {'subject': 'cephalopod'}, {'subject': 'https://species.wikimedia.org/wiki/Octopus_vulgaris', 'subjectScheme': 'url'}]",,
-10.26302/sshade/bandlist_abs_calcite,Absorption bandlist of natural Calcite,SSHADE/BANDLIST (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",FIR-MIR-NIR Absorption bandlist of natural Calcite at 295 and 80K,mds,True,findable,0,0,0,0,0,2023-10-26T20:31:25.000Z,2023-10-26T20:31:26.000Z,inist.sshade,mgeg,"Calcite,Calcium cation,Carbonate anion,Calcium(2+) cation,14127-61-8,471-34-1,Ca2+,(CO3)2-,CaCO3,Calcite,non-silicate mineral,carbonate,carbonates, nitrates, borates,anhydrous carbonates,Calcite group (Trigonal: R-3c),14.01.01.01,05.AB.05,absorption,FIR,MIR,NIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'Calcite', 'subjectScheme': 'name'}, {'subject': 'Calcium cation', 'subjectScheme': 'name'}, {'subject': 'Carbonate anion', 'subjectScheme': 'name'}, {'subject': 'Calcium(2+) cation', 'subjectScheme': 'IUPAC name'}, {'subject': '14127-61-8', 'subjectScheme': 'CAS number'}, {'subject': '471-34-1', 'subjectScheme': 'CAS number'}, {'subject': 'Ca2+', 'subjectScheme': 'formula'}, {'subject': '(CO3)2-', 'subjectScheme': 'formula'}, {'subject': 'CaCO3', 'subjectScheme': 'formula'}, {'subject': 'Calcite', 'subjectScheme': 'IMA name'}, {'subject': 'non-silicate mineral', 'subjectScheme': 'mineral class'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'carbonates, nitrates, borates', 'subjectScheme': 'Dana class'}, {'subject': 'anhydrous carbonates', 'subjectScheme': 'Dana class'}, {'subject': 'Calcite group (Trigonal: R-3c)', 'subjectScheme': 'Dana group'}, {'subject': '14.01.01.01', 'subjectScheme': 'Dana code'}, {'subject': '05.AB.05', 'subjectScheme': 'Strunz code'}, {'subject': 'absorption', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'band frequency', 'subjectScheme': 'variables'}, {'subject': 'band width', 'subjectScheme': 'variables'}, {'subject': 'band intensity', 'subjectScheme': 'variables'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'variables'}]",,['ASCII']
-10.5061/dryad.1qt12,"Data from: Extracellular DNA extraction is a fast, cheap and reliable alternative for multi-taxa surveys based on soil DNA",Dryad,2017,en,Dataset,Creative Commons Zero v1.0 Universal,"DNA metabarcoding on soil samples is increasingly used for large-scale and multi-taxa biodiversity studies. However, DNA extraction may be a major bottleneck for such wide uses. It should be cost/time effective and allow dealing with large sample volumes so as to maximise the representativeness of both micro- and macro-organisms diversity. Here, we compared the performances of a fast and cheap extracellular DNA extraction protocol with a total DNA extraction method in retrieving bacterial, eukaryotic and plant diversity from tropical soil samples of ca. 10 g. The total DNA extraction protocol yielded more high-quality DNA. Yet, the extracellular DNA protocol provided similar diversity assessments although it presented some differences in clades relative abundance and undersampling biases. We argue that extracellular DNA is a good compromise between cost, labor, and accuracy for high-throughput DNA metabarcoding studies of soil biodiversity.",mds,True,findable,342,59,1,1,0,2016-01-20T19:13:51.000Z,2016-01-20T19:13:52.000Z,dryad.dryad,dryad,"multi-taxa,DNA extraction protocol,Soil biodiversity,present,Holocene,Viridiplantae","[{'subject': 'multi-taxa'}, {'subject': 'DNA extraction protocol'}, {'subject': 'Soil biodiversity'}, {'subject': 'present'}, {'subject': 'Holocene'}, {'subject': 'Viridiplantae'}]",['18072078 bytes'],
-10.5281/zenodo.8333896,Seeds of Life in Space â€“ SOLIS,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Life on Earth is based on carbon chemistry, likely because of the C atoms ability to form long chains and polymers and its relatively large cosmic abundance. The same chemistry holds everywhere in the Universe and it starts in the interstellar clouds, from where the progenitors of Suns and Solar-like planetary systems are born. As the Nobel Laureate C. de Duve (2005) wrote: â€œThe building blocks of life form naturally in our Galaxy and, most likely, also elsewhere in the cosmos. The chemical seeds of life are universal.â€ As a matter of fact, out of more than 270 species detected in the ISM, about 80% contain C atoms, and all species with more than five atoms are C-bearing ones. The latter are known as interstellar Complex Organic Molecules (iCOMs) and may represent the foundational organic chemistry underlying terrestrial life. SOLIS is a NOEMA Large Program which has the overall goal of understanding the organic chemistry during the first steps of the formation of a Solar-like planetary system. To this end, the immediate SOLIS objective is to provide a homogeneous data set of observations of five crucial iCOMs in seven targets representative of Solar-like systems in their first evolutionary stages. The observations are designed to map several lines from each of the targeted iCOMs and, hence, determine their abundance as well as the physical conditions of the region where the lines are emitted, with a precision on 10000â€”100 au scales. Thanks to the NOEMA capabilities, several more iCOMs are detected that complement the primary species targeted, allowing for a more comprehensive chemical study of the observed regions. SOLIS has observed the following seven sources: L1544, representative of prestellar cores; L1521, a VeLLO (Very Low-Luminosity) source at the very early stages of protostellar evolution; NGC 1333-IRAS4A, a low-luminosity Class 0 binary system; CepE-mm, an intermediate-luminosity Class 0 source; NGC 1333-SVS13A, a low-luminosity Class I binary system; OMC-2 FIR4, a protocluster analogue of the one where the Solar System was born; L1157-B1, a molecular shock close to a Class 0 source. SOLIS has targeted the following five iCOMs: methanol (CH3OH), considered the mother of many other iCOMs; dimethyl ether (CH3OCH3; DME), methyl formate (HCOOCH3: MF) and formamide (NH2HCO), three commonly observed iCOMs that have been predicted to be formed both in the gas-phase and on the grain surfaces; methoxy (CH3O), a crucial precursor of several iCOMs. In addition, the SOLIS observations have provided information on acetaldehyde (CH3CHO), methyl cyanide (CH3CN), the two smallest cyanopolyynes (HC3N and HC5N), among other iCOMs, as well as simpler molecules such as S-bearing ones or rarer isotopologues of hydrogen, nitrogen and silicon. The official SOLIS repository is at IRAM, and it includes various types of data, such as uv-tables, continuum emission maps, and continuum-subtracted data cubes. Please do not hesitate to contact Cecilia Ceccarelli (cecilia.ceccarelli@univ-grenoble-alpes.fr) and Paola Caselli (caselli@mpe.mpg.de) for further questions or to inform them about the use of the data for further scientific analysis or publications. For a complete list of publications please visit the SOLIS publication web page. The following acknowledgment would be appreciated: â€œThis work made use of data from the NOEMA Large Program SOLIS (Seeds Of Life In Space), Ceccarelli &amp; Caselli et al. 2017, ApJ 850, 176.â€",mds,True,findable,0,0,0,0,0,2023-09-11T09:50:33.000Z,2023-09-11T09:50:34.000Z,cern.zenodo,cern,"astrochemistry, star forming regions, radio observations, telescopes","[{'subject': 'astrochemistry, star forming regions, radio observations, telescopes'}]",,
-10.26302/sshade/bandlist_abs_c4h2_am-c4h2,Absorption band list of C4H2 in natural solid C4H2 (amorphous phase),SSHADE/BANDLIST (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR absorption band list of $C_4H_2$ in natural solid $C_4H_2$ (amorphous phase) at 10 K,mds,True,findable,0,0,0,0,0,2023-04-30T10:29:34.000Z,2023-04-30T10:29:35.000Z,inist.sshade,mgeg,"natural C4H2 - amorphous,Diacetylene,amorphous Diacetylene,amorphous C4H2,Buta-1,3-diyne,460-12-8,C4H2,non polar molecular solid,molecular solids with apolar molecules,organic molecular solid,absorption,MIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural C4H2 - amorphous', 'subjectScheme': 'name'}, {'subject': 'Diacetylene', 'subjectScheme': 'name'}, {'subject': 'amorphous Diacetylene', 'subjectScheme': 'name'}, {'subject': 'amorphous C4H2', 'subjectScheme': 'name'}, {'subject': 'Buta-1,3-diyne', 'subjectScheme': 'IUPAC name'}, {'subject': '460-12-8', 'subjectScheme': 'CAS number'}, {'subject': 'C4H2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'organic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.6084/m9.figshare.16786738,Additional file 12 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 12. Ethical approval document (French).,mds,True,findable,0,0,16,1,0,2021-10-12T03:41:34.000Z,2021-10-12T03:41:37.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['367954 Bytes'],
-10.17178/emaa_para-c3h2_rotation_bcdd4e50,Rotation excitation of para-c-C3H2 by He and para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2023,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",50 rotation energy levels / 115 radiative transitions / 1225 collisional transitions for para-H2 (9 temperatures in the range 5-120K) / 1225 collisional transitions for He (9 temperatures in the range 5-120K),mds,True,findable,0,0,0,0,0,2023-12-07T15:52:07.000Z,2023-12-07T15:52:08.000Z,inist.osug,jbru,"target para-c-C3H2,excitationType Rotation,collisional excitation,collider.0 para-H2,collider.1 He,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target para-c-C3H2', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'collider.1 He', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/teil_lidar,Le Teil earthquake high resolution Lidar survey for the surface rupture,"IRD, CNRS-INSU",2020,fr,Dataset,"Creative Commons Attribution 4.0 International,The following sentence should appear in the acknowledgments of the publication: ""This dataset collection was supported by the INSU-CNRS, the â€œFailles actives Franceâ€ program (FACT) of the Transverse Seismicity Action (ATS) of the French Seismologic and Geodetic Network RESIF, the IRD â€œInstitute de Recherche pour le DÃ©veloppement"" in ISTerre and OSUG, at UniversitÃ© de Grenoble Alpes.""","Le 11 novembre 2019 Ã  10h52 un sÃ©isme d'une magnitude 5,2 MLv se produit Ã  proximitÃ© de MontÃ©limar. Une mission de terrain visant Ã  cartographier la rupture au sol rÃ©sultant du sÃ©isme a Ã©tÃ© organisÃ©e. Elle a fait appel Ã  des instruments au sol, mais Ã©galement dans les airs. DonnÃ©es LIDAR et nuage de points de mesure acquis sur la zone oÃ¹ les ruptures de surface ont Ã©tÃ© observÃ©es au sol. Acquisition LIDAR aÃ©roportÃ© lors du survol de la zone en hÃ©licoptÃ¨re. Les axes sont en mÃ¨tres. Ces mesures pourront complÃ©ter lâ€™inventaire des Ã©vidences de rupture effectuÃ© au sol, avec un cadre plus large et plus homogÃ¨ne (qui permet de sâ€™abstraire de la couverture vÃ©gÃ©tale notamment dans cette zone trÃ¨s boisÃ©e). Cette mission de cartographie sâ€™inscrit dans une large mobilisation de la communautÃ© scientifique nationale (INSU), et notamment de l'infrastructure de recherche RESIF et de l'action FACT. Cette infrastructure de recherche nationale est dÃ©diÃ©e Ã  lâ€™observation et la comprÃ©hension de la structure et de la dynamique Terre interne. RESIF se base sur des rÃ©seaux dâ€™observation de haut niveau technologique, composÃ©s dâ€™instruments sismologiques, gÃ©odÃ©siques et gravimÃ©triques dÃ©ployÃ©s de maniÃ¨re dense sur tout le territoire franÃ§ais. Les donnÃ©es recueillies permettent dâ€™Ã©tudier avec une haute rÃ©solution spatio-temporelle la dÃ©formation du sol, les structures superficielles et profondes, la sismicitÃ© Ã  lâ€™Ã©chelle locale et globale et les alÃ©as naturels, et plus particuliÃ¨rement sismiques, sur le territoire franÃ§ais. RESIF sâ€™intÃ¨gre aux dispositifs europÃ©ens (EPOS - European Plate Observing System) et mondiaux dâ€™instruments permettant dâ€™imager lâ€™intÃ©rieur de la Terre dans sa globalitÃ© et dâ€™Ã©tudier de nombreux phÃ©nomÃ¨nes naturels.",mds,True,findable,0,0,0,0,0,2022-02-07T09:24:32.000Z,2022-02-07T09:24:32.000Z,inist.osug,jbru,"Digital Elevation Model,High resolution topographic data,post seismic acquisition","[{'subject': 'Digital Elevation Model', 'subjectScheme': 'main'}, {'subject': 'High resolution topographic data', 'subjectScheme': 'main'}, {'subject': 'post seismic acquisition', 'subjectScheme': 'main'}]",,
-10.6084/m9.figshare.16786732,Additional file 10 of Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 10. DSMB charter.,mds,True,findable,0,0,16,1,0,2021-10-12T03:41:27.000Z,2021-10-12T03:41:29.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",['65108 Bytes'],
-10.26302/sshade/experiment_ag_20130923_000,"Evolution with time of the MIR absorbance spectrum of Portlandite at -10, 0 and 10Â°C in contact with 2 bar CO2 gas",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Evolution with time of the MIR absorbance spectrum of Portlandite at -10, 0 and 10Â°C in contact with 2 bar CO2 gas",mds,True,findable,0,0,0,0,0,2019-12-28T15:02:50.000Z,2019-12-28T15:02:50.000Z,inist.sshade,mgeg,"commercial,oxide-hydroxide,Portlandite,carbonate,Calcite,Aragonite,physically adsorbed phase,Adsorbed water,inorganic molecular solid,H2O ice,laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance","[{'subject': 'commercial'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Portlandite'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'Aragonite'}, {'subject': 'physically adsorbed phase'}, {'subject': 'Adsorbed water'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O ice'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['34 spectra'],['ASCII']
-10.15778/resif.cl,CL - Corinth Rift Laboratory Seismological Network (CRLNET),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2013,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","The Corinth Rift Laboratory Seismological Network - CL includes 46 stations combining seismic broad band and short period sensors, accelerometers, GNSS, strainmeters, and tiltmeters. The network has been installed since 2000 in the western part of the rift around the city of Aigion, and covers a 40 km Ã— 40 km area. It is operated jointly with French, Greek and Czech academic research institutes. Most of the data are collected in near real-time to the acquisition center in Athens (NKUA). The data will progressively integrate the RESIF Information System: the data of several stations are already available, and those of all the stations will be integrated in a second stage. The RESIF Information System provides both real time and consolidated data. Archiving and distribution are carried out by the RESIF node at ISTerre (Grenoble, France). In a context of fast continental rift with continuous, high level of strain rate and seismic activity, all these data may be used to investigate fundamental issues of multi-scale earthquake and fault mechanics. They will provide clues for better understanding and modelling the rift opening, the role of fluids in the swarm activity, the spatio-temporal processes which couple seismic and aseismic activity on a complex, segmented fault system.",mds,True,findable,0,0,0,4,0,2015-04-29T11:18:40.000Z,2015-04-29T11:18:40.000Z,inist.resif,vcob,"dense observation network,seismology,broad band,short period,strong motion,GNSS,borehole instrumentation","[{'subject': 'dense observation network'}, {'subject': 'seismology'}, {'subject': 'broad band'}, {'subject': 'short period'}, {'subject': 'strong motion'}, {'subject': 'GNSS'}, {'subject': 'borehole instrumentation'}]",['Approximately 46 active stations; greater than 1.5 GB/day.'],"['miniseed data', 'stationXML data', 'RINEX for GNSS data']"
-10.5281/zenodo.10634905,Network Design with Integer Frank Wolfe,MATH+ Cluster of Excellence,2024,,Software,Creative Commons Attribution 4.0 International,Github Repository for the project Network Design with Integer Frank Wolfe. Associated with the paper https://arxiv.org/abs/2402.00166.,api,True,findable,0,0,0,0,0,2024-02-21T16:38:47.000Z,2024-02-21T16:38:48.000Z,cern.zenodo,cern,,,,
-10.15778/resif.1t2018,Seismic sequence monitoring on land and at sea in Mayotte : SISMAYOTTE (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2020,,Dataset,,"Following the onset of the seismo-volcanic sequence of Mayotte in May 2018, the network of seismic stations has been improved. In order to better locate the events and monitor in real-time the sequence located 20 to 50 km eastward offshore Mayotte, several stations have been installed in Mayotte and Glorieuses islands. These stations complement regularly surveyed ocean bottom seismometers deployed on the ocean bottom above the area of seismicity.",mds,True,findable,0,0,1,2,0,2021-02-25T11:59:38.000Z,2021-02-25T12:03:50.000Z,inist.resif,vcob,Mayotte sÃ©ismo-volcanic sequence,[{'subject': 'Mayotte sÃ©ismo-volcanic sequence'}],"['2 stations, 63Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.26302/sshade/experiment_jg_20090226_003,"Vis-NIR reflectance spectra of Gumburo Hills (Ogaden, Ethiopia) basalt",SSHADE/SOSYPOL (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra of the Gumburo Hills (Ogaden, Ethiopia) basalts. The samples are cobble fragments sampled from the same outcrop. The experiment contains spectra of the surface of the alteration rind and of the internal part of the samples.",mds,True,findable,0,0,0,0,0,2019-12-09T05:11:02.000Z,2019-12-09T05:11:03.000Z,inist.sshade,mgeg,"natural terrestrial,nesosilicate,olivine,inosilicate,pyroxenes,tektosilicate,plagioclases,phyllosilicate,smectites,silicate,iddingsite,rhonite,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,bidirectional reflectance","[{'subject': 'natural terrestrial'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'inosilicate'}, {'subject': 'pyroxenes'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclases'}, {'subject': 'phyllosilicate'}, {'subject': 'smectites'}, {'subject': 'silicate'}, {'subject': 'iddingsite'}, {'subject': 'rhonite'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'bidirectional reflectance'}]",['19 spectra'],['ASCII']
-10.5281/zenodo.10022527,Analogue Memristive Devices based on La2NiO4+Î´ as Synapses for Spiking Neural Networks,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2023-11-30T09:16:35.000Z,2023-11-30T09:16:35.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.23575381,Additional file 8 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authorsâ€™ original file for figure 7,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:57.000Z,2023-06-25T03:11:57.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['24064 Bytes'],
-10.26302/sshade/experiment_lb_20210517_001,Vis-NIR reflectance spectra of a powdered and a cut section of NWA4766 (basaltic shergottite) at various observational geometries,SSHADE/ROMA+GhoSST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Vis-NIR reflectance spectra of a powdered and a cut section of NWA4766 (basaltic shergottite) at various observational geometries with emergence angles between -60Â° and 60Â° by steps of 10Â° for the powder and between -50Â° and 50Â° by steps of 10Â° for the cut section sample,mds,True,findable,0,0,0,0,0,2021-05-19T13:59:22.000Z,2021-05-19T13:59:23.000Z,inist.sshade,mgeg,"extraterrestrial,martian,shergottite,inosilicate,pyroxene,tektosilicate,plagioclase,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'martian'}, {'subject': 'shergottite'}, {'subject': 'inosilicate'}, {'subject': 'pyroxene'}, {'subject': 'tektosilicate'}, {'subject': 'plagioclase'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['64 spectra'],['ASCII']
-10.5281/zenodo.10014633,Mining tortured acronyms from the scientific literature,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,2,2023-10-17T19:30:51.000Z,2023-10-17T19:30:51.000Z,cern.zenodo,cern,,,,
-10.18709/perscido.2018.11.ds155,UV and visible fluorescence images of maize stem: macroscopy and confocal microscopy,PerSciDo,2018,en,Dataset,,Fluorescence Macroscopy is a full field imaging system at low magnification. The interest is to rapidly observe large fields of view (~5x5 mmÂ²). Fluorescence filters are used that select excitation and emission ranges of wavelengths. The spectral resolution is low. Confocal microscopy equipped with a spectral detector and several excitation lasers allows to acquire hyperspectral images. The spectral resolution is around 6-10 nm. The field of view is small and is about 500 x500 ÂµmÂ² with a good spatial resolution. The fusion or the multiset analysis of the two kinds of images should provide a link between the two scales of observation and therefore a strategy to develop multiscale acquisition.,api,True,findable,0,0,0,1,0,2018-11-30T10:02:27.000Z,2018-11-30T10:02:27.000Z,inist.persyval,vcob,"Biology,Biochemistry","[{'lang': 'en', 'subject': 'Biology'}, {'lang': 'en', 'subject': 'Biochemistry'}]",['400 MB'],"['png', 'docx']"
-10.5281/zenodo.3707930,Estimate of the atmospherically-forced contribution to sea surface height variability based on altimetric observations,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the estimate of the atmospherically-forced contribution to sea level variability described in Close et al, 2020, and derived from the Ssalto/Duacs altimeter products produced and distributed by the Copernicus Marine and Environment Monitoring Service (CMEMS) (http://www.marine.copernicus.eu). The files contain successive 5-day averages of sea level anomaly, with the same global coverage and 0.25Â° grid as the Ssalto/Duacs altimeter products. The estimate is created using a spatial bandpass filter, with cutoff scales of ~1.5Â° and 10.5Â°. Zeros in the mask file indicate regions in which it has not been possible to evaluate the quality of the estimate. The cutoff scales applied to the altimetry data were determined through analysis of output from the OceaniC Chaos â€“ ImPacts, strUcture, predicTability (Penduff et al, 2014) experiment, comprising a 50-member ensemble of ocean-sea ice model hindcasts with 0.25Â° horizontal resolution (BessiÃ¨res et al., 2017). The spatiotemporal coherence between the model-based estimates of the atmospherically-forced (ensemble mean) and total simulated sea surface height signals was analysed, and found to exhibit distinct partitioning between the atmospherically-forced and intrinsic contributions in a spatial (but not temporal) sense, thus suggesting that meaningful estimation of the two components can be achieved based on simple spatial filtering. Verification of the method using the model data indicates good accuracy, with a global mean correlation of 0.9 between the estimate based on spatial filtering and the ensemble mean sea surface height. Full details of the methodology and verification may be found in Close et al, 2020. ---- <strong>References</strong>: BessiÃ¨res, L., Leroux, S., Brankart, J.-M., Molines, J.-M., Moine, M.-P., Bouttier, P.-A., Penduff, T., Terray, L., Barnier, B., and SÃ©razin, G., 2017. Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution, Geosci. Model Dev., 10, 1091â€“1106, doi: 10.5194/gmd-10-1091-2017. Close, S., Penduff, T., Speich, S. and Molines J.-M., 2020. A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations. Progr. Oceanogr. doi: 10.1016/j.pocean.2020.102314 Penduff, T., Barnier, B. , Terray, L., BessiÃ¨res, L., SÃ©razin, G., GrÃ©gorio, S., Brankart, J., Moine, M., Molines, J., Brasseur, P., 2014. Ensembles of eddying ocean simulations for climate, CLIVAR Exchanges, Special Issue on High Resolution Ocean Climate Modelling, 19.",mds,True,findable,3,0,1,0,0,2020-03-25T08:50:08.000Z,2020-03-25T08:50:10.000Z,cern.zenodo,cern,"ocean,sea level anomaly,altimetry","[{'subject': 'ocean'}, {'subject': 'sea level anomaly'}, {'subject': 'altimetry'}]",,
-10.17178/draixbleone_gal_ain_dsd_1920,"Drop Size Distribution (DSD) at Ainac (Lat : 44,21492 ; Lon : 6,21085)",IGE - CNRS - OSUG,2020,en,Dataset,"Creative Commons Attribution 4.0 International,The following acknowledging sentence should appear in publications using data and products from the Galabre watershed of the Draix Bleone Observatory: ""DRAIX BLEONE is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.,Always quote below citation to Legout et al. (submitted) when using these data. Legout C., Freche G., Biron R., Esteves M., Nord G, Navratil O., Uber M., Grangeon T., Hachgenei N., Boudevillain B. Voiron C., Spadini L. A critical zone observatory dedicated to suspended sediment transport: the meso-scale Galabre catchment (southern French Alps), submitted to Hydrological Processes.",This DSD data set is part of the DRAIXBLEONE_GAL observatory.,mds,True,findable,0,0,0,0,0,2020-09-15T15:58:31.000Z,2020-09-15T15:58:32.000Z,inist.osug,jbru,"Mediterranean mountainous climate,Precipitation,Meteorology","[{'subject': 'Mediterranean mountainous climate', 'subjectScheme': 'main'}, {'subject': 'Precipitation', 'subjectScheme': 'var'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}]",,['CSV']
-10.6084/m9.figshare.c.6584765,Efficacy and auditory biomarker analysis of fronto-temporal transcranial direct current stimulation (tDCS) in targeting cognitive impairment associated with recent-onset schizophrenia: study protocol for a multicenter randomized double-blind sham-controlled trial,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background In parallel to the traditional symptomatology, deficits in cognition (memory, attention, reasoning, social functioning) contribute significantly to disability and suffering in individuals with schizophrenia. Cognitive deficits have been closely linked to alterations in early auditory processes (EAP) that occur in auditory cortical areas. Preliminary evidence indicates that cognitive deficits in schizophrenia can be improved with a reliable and safe non-invasive brain stimulation technique called tDCS (transcranial direct current stimulation). However, a significant proportion of patients derive no cognitive benefits after tDCS treatment. Furthermore, the neurobiological mechanisms of cognitive changes after tDCS have been poorly explored in trials and are thus still unclear. Method The study is designed as a randomized, double-blind, 2-arm parallel-group, sham-controlled, multicenter trial. Sixty participants with recent-onset schizophrenia and cognitive impairment will be randomly allocated to receive either active (n=30) or sham (n=30) tDCS (20-min, 2-mA, 10 sessions during 5 consecutive weekdays). The anode will be placed over the left dorsolateral prefrontal cortex and the cathode over the left auditory cortex. Cognition, tolerance, symptoms, general outcome and EAP (measured with EEG and multimodal MRI) will be assessed prior to tDCS (baseline), after the 10 sessions, and at 1- and 3-month follow-up. The primary outcome will be the number of responders, defined as participants demonstrating a cognitive improvement â‰¥Z=0.5 from baseline on the MATRICS Consensus Cognitive Battery total score at 1-month follow-up. Additionally, we will measure how differences in EAP modulate individual cognitive benefits from active tDCS and whether there are changes in EAP measures in responders after active tDCS. Discussion Besides proposing a new fronto-temporal tDCS protocol by targeting the auditory cortical areas, we aim to conduct a randomized controlled trial (RCT) with follow-up assessments up to 3 months. In addition, this study will allow identifying and assessing the value of a wide range of neurobiological EAP measures for predicting and explaining cognitive deficit improvement after tDCS. The results of this trial will constitute a step toward the use of tDCS as a therapeutic tool for the treatment of cognitive impairment in recent-onset schizophrenia. Trial registration ClinicalTrials.gov NCT05440955. Prospectively registered on July 1st, 2022.",mds,True,findable,0,0,0,0,0,2023-04-13T12:04:23.000Z,2023-04-13T12:04:24.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,69999 Biological Sciences not elsewhere classified,Science Policy,111714 Mental Health,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Science Policy'}, {'subject': '111714 Mental Health', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5061/dryad.8290n,Data from: pcadapt: an R package to perform genome scans for selection based on principal component analysis,Dryad,2016,en,Dataset,Creative Commons Zero v1.0 Universal,"The R package pcadapt performs genome scans to detect genes under selection based on population genomic data. It assumes that candidate markers are outliers with respect to how they are related to population structure. Because population structure is ascertained with principal component analysis, the package is fast and works with large-scale data. It can handle missing data and pooled sequencing data. By contrast to population-based approaches, the package handle admixed individuals and does not require grouping individuals into populations. Since its first release, pcadapt has evolved in terms of both statistical approach and software implementation. We present results obtained with robust Mahalanobis distance, which is a new statistic for genome scans available in the 2.0 and later versions of the package. When hierarchical population structure occurs, Mahalanobis distance is more powerful than the communality statistic that was implemented in the first version of the package. Using simulated data, we compare pcadapt to other computer programs for genome scans (BayeScan, hapflk, OutFLANK, sNMF). We find that the proportion of false discoveries is around a nominal false discovery rate set at 10% with the exception of BayeScan that generates 40% of false discoveries. We also find that the power of BayeScan is severely impacted by the presence of admixed individuals whereas pcadapt is not impacted. Last, we find that pcadapt and hapflk are the most powerful in scenarios of population divergence and range expansion. Because pcadapt handles next-generation sequencing data, it is a valuable tool for data analysis in molecular ecology.",mds,True,findable,426,49,1,1,0,2016-08-11T17:32:14.000Z,2016-08-11T17:32:16.000Z,dryad.dryad,dryad,Bioinfomatics/Phyloinfomatics,[{'subject': 'Bioinfomatics/Phyloinfomatics'}],['14535625 bytes'],
-10.5281/zenodo.4729758,Prevalence of nonsensical algorithmically generated papers in the scientific literature,Zenodo,2021,en,Software,"Creative Commons Attribution 4.0 International,Open Access",research integrity<br> publishing industry<br> misconduct<br> retraction<br> computer-generated papers<br> SCIgen<br> nonsense detection<br> citation manipulation,mds,True,findable,0,0,0,0,0,2021-05-19T14:11:14.000Z,2021-05-19T14:11:15.000Z,cern.zenodo,cern,"computer-generated papers,SCIgen,nonsense detection,research integrity,misconduct,publishing industry","[{'subject': 'computer-generated papers'}, {'subject': 'SCIgen'}, {'subject': 'nonsense detection'}, {'subject': 'research integrity'}, {'subject': 'misconduct'}, {'subject': 'publishing industry'}]",,
-10.5281/zenodo.10511344,"Supplementary Information for ""Informative Training Data for Efficient Property Prediction in Metal-Organic Frameworks by Active Learning""",Zenodo,2024,,ComputationalNotebook,Creative Commons Attribution 4.0 International,"This record consists of the results from the work 'Informative Training Data for Efficient Property Prediction in Metal-Organic Frameworks by Active Learning', DOI:10.1021/jacs.3c13687 (arxiv DOI: 10.26434/chemrxiv-2023-sw9kv).Â 
-
-Training sets selected by Regression-Tree based Active Learning (RT-AL), as well as MAE values on test sets are provided as a benchmark for MOF datasets.
-
-Descriptors computed for each dataset are also provided.
-
-The codes and a comprehensive example of the usage of RT-AL is provided at https://github.com/AshnaJose/Regression-Tree-based-Active-Learning-for-MOFs.",api,True,findable,0,0,0,1,1,2024-02-23T11:09:09.000Z,2024-02-23T11:09:09.000Z,cern.zenodo,cern,,,,
-10.17178/emaa_ortho-h2(18o)_rotation_1ee1c3c9,Rotation excitation of ortho-H2[18O] by H and electron collisions,"UGA, CNRS, CNRS-INSU, OSUG",2022,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
-This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",27 rotation energy levels / 70 radiative transitions / 351 collisional transitions for H (14 temperatures in the range 5-1500K) / 91 collisional transitions for electron (9 temperatures in the range 10-500K),mds,True,findable,0,0,0,0,0,2022-02-07T11:25:31.000Z,2022-02-07T11:25:32.000Z,inist.osug,jbru,"target ortho-H2[18O],excitationType Rotation,collisional excitation,collider.0 H,collider.1 electron,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target ortho-H2[18O]', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 H', 'subjectScheme': 'var'}, {'subject': 'collider.1 electron', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex']
-10.17178/erosion_model.2020,Modeled contributions of sediment sources to total suspended sediment flux in two mesoscale catchments,UGA,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the CC-BY 4.0 license.","The application enables to show the contribution of erosion zones that act as sediment sources to total suspended sediment load in percent simulated with the IBER soil erosion model. Model output can be visualized for two mesoscale Mediterranean catchments in southeastern France, the 42 km2 CladuÃ¨gne catchment and the 20 km2 Galabre catchment and for different sets of scenarios: (i) CDA threshold: The threshold of contributing drainage area (CDA) defines the length of the river network. Values were varied from 15 ha to 500 ha. (ii) Manning's n: river: Manning's roughness parameter in the river network. Values were varied from 0.025 to 0.1. (iii) Manning's n: hillslopes: Manning's roughness parameter on the hillslopes. Values were varied from 0.2 to 0.8. (iv) Source classification: Source classification based on connectivity, i.e. sediment sources were subdivided based on their distance to the outlet and their distance to the river. In addition to the modeled source contributions the time series of rainfall intensity, liquid and solid discharge can be displayed.",mds,True,findable,0,0,0,0,0,2020-07-22T14:26:36.000Z,2020-07-22T14:26:37.000Z,inist.osug,jbru,erosion model,"[{'subject': 'erosion model', 'subjectScheme': 'main'}]",,"['.rep', '.R']"
-10.5281/zenodo.8279040,Dataset for Nanoscale Growth Mechanisms of Gypsum: Implications for Environmental Control of Crystal Habits,Zenodo,2023,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset collected here has been used in the paper ""Nanoscale Growth Mechanisms of Gypsum: Implications for Environmental Control of Crystal Habits"". The files are in .dat format and each one corresponds to the images indicated in the file name.",mds,True,findable,0,0,0,0,0,2023-08-24T12:39:54.000Z,2023-08-24T12:39:54.000Z,cern.zenodo,cern,"gypsum,crystal growth,particle-mediated growth,2D-nucleation,spiral hillocks,classical and non-classical growth,morphology control,sulfate mineral","[{'subject': 'gypsum'}, {'subject': 'crystal growth'}, {'subject': 'particle-mediated growth'}, {'subject': '2D-nucleation'}, {'subject': 'spiral hillocks'}, {'subject': 'classical and non-classical growth'}, {'subject': 'morphology control'}, {'subject': 'sulfate mineral'}]",,
-10.5281/zenodo.5237198,Bulgarian DBnary archive in original Lemon format,Zenodo,2021,bg,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Bulgarian language edition, ranging from 24th February 2014 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-23T18:39:04.000Z,2021-08-23T18:39:05.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.23658/taltech.43/2020,Runup of Nonlinear Waves of Different Shapes on a Plane Beach Including Effects of Dispersion and Wave Breaking,Tallinn University of Technology,2020,en,Text,Creative Commons Attribution Non Commercial Share Alike 4.0 International,,fabricaForm,True,findable,0,0,0,0,0,2020-12-18T13:35:52.000Z,2020-12-18T13:35:53.000Z,estdoi.ttu,qnur,"FOS: Natural sciences,FOS: Earth and related environmental sciences","[{'subject': 'FOS: Natural sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]","['18,09 MB']",['PDF']
-10.26302/sshade/experiment_bs_20120924_011,NIR Optical constants spectrum of H2O Ih crystal and H2O liquid from 20 to 293 K,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-12-22T21:20:11.000Z,2020-12-22T21:20:12.000Z,inist.sshade,mgeg,"laboratory,liquid,H2O liquid,inorganic molecular solid,H2O crystalline - phase Ih,laboratory measurement,transmission,macroscopic,NIR,Near-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'liquid'}, {'subject': 'H2O liquid'}, {'subject': 'inorganic molecular solid'}, {'subject': 'H2O crystalline - phase Ih'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'optical constants'}]",['28 spectra'],['ASCII']
-10.5281/zenodo.5142591,Bayesian Archetypes: Energy signature inference from national data for statistical definition of buildings archetypes.,Zenodo,2021,en,Software,"Apache License 2.0,Open Access",Energy signature inference from national data for statistical definition of buildings archetypes. This project contains the code and data used for the paper <strong>Bayesian inference of dwellings energy signature at national scale: case of the French residential stock</strong>. It aims to infer energy signature of dwelling categories from national census and consumption data.,mds,True,findable,0,0,0,0,0,2021-09-07T16:49:50.000Z,2021-09-07T16:49:50.000Z,cern.zenodo,cern,"Bayesian Inference,Energy Signature,Urban Energy Modeling,Uncertainties,Open Data","[{'subject': 'Bayesian Inference'}, {'subject': 'Energy Signature'}, {'subject': 'Urban Energy Modeling'}, {'subject': 'Uncertainties'}, {'subject': 'Open Data'}]",,
-10.6084/m9.figshare.20221967,Additional file 1 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter caseâ€“control computed tomography study,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Computation of compliance of the already aerated lung at PEEP 5 (CBABY LUNG),mds,True,findable,0,0,27,1,0,2022-07-04T06:41:05.000Z,2022-07-04T06:41:06.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['149761 Bytes'],
-10.18709/perscido.2017.10.ds138,"F-TRACT, ATLAS June 2017",PerSciDo,2017,en,Dataset,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,"Dataset that contains connectivity probablility and peak latency estimated from CCEP data recorded in 174 patients, only in the MarsAtlas parcellation scheme.",api,True,findable,0,0,0,0,0,2017-11-03T01:32:52.000Z,2017-11-03T01:32:52.000Z,inist.persyval,vcob,"Computer Science,Medicine","[{'lang': 'en', 'subject': 'Computer Science'}, {'lang': 'en', 'subject': 'Medicine'}]",['225 MB'],['csv']
-10.26302/sshade/experiment_lb_20191211_001,Fe K edge XAS transmission of bulk CM carbonaceous chondrites,SSHADE/GhoSST+FAME (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",raw and normalized Fe K edge XAS transmission of bulk CM carbonaceous chondrites,mds,True,findable,0,0,0,0,0,2019-12-13T13:03:09.000Z,2019-12-13T13:03:09.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,extraterrestrial,carbonaceous chondrite,CM,complex organic-mineral mix,matrix ALH83100 IPAG,complex mineral mix,chondrules ALH83100 IPAG,CAIs ALH83100 IPAG,matrix ALH84029 IPAG,chondrules ALH84029 IPAG,CAIs ALH84029 IPAG,matrix ALH84044 IPAG,chondrules ALH84044 IPAG,CAIs ALH84044 IPAG,matrix DOM08003 IPAG,chondrules DOM08003 IPAG,CAIs DOM08003 IPAG,matrix LAP02333 IPAG,chondrules LAP02333 IPAG,CAIs LAP02333 IPAG,matrix LAP02336 IPAG,chondrules LAP02336 IPAG,CAIs LAP02336 IPAG,matrix LAP03718 IPAG,chondrules LAP03718 IPAG,CAIs EET83355 IPAG,matrix LEW85311 IPAG,chondrules LEW85311 IPAG,CAIs LEW85311 IPAG,matrix LEW85312 IPAG,chondrules LEW85312 IPAG,CAIs LEW85312 IPAG,matrix LEW87022 IPAG,chondrules LEW87022 IPAG,CAIs LEW87022 IPAG,matrix PCA91008 IPAG,chondrules PCA91008 IPAG,CAIs PCA91008 IPAG,matrix LEW90500 IPAG,chondrules LEW90500 IPAG,CAIs LEW90500 IPAG,matrix LON94101 IPAG,chondrules LON94101 IPAG,CAIs LON94101 IPAG,matrix MCY05230 IPAG,chondrules MCY05230 IPAG,CAIs MCY05230 IPAG,matrix MET01070 IPAG,chondrules MET01070 IPAG,CAIs MET01070 IPAG,matrix QUE97990 IPAG,chondrules QUE97990 IPAG,CAIs QUE97990 IPAG,matrix NIGER IPAG,chondrules NIGER IPAG,CAIs NIGER IPAG,matrix Murchison IPAG,chondrules Murchison IPAG,CAIs Murchison IPAG,matrix Murray IPAG,chondrules Murray IPAG,CAIs Murray IPAG,matrix Boriskino IPAG,chondrules Boriskino IPAG,CAIs Boriskino IPAG,matrix Mighei IPAG,chondrules Mighei IPAG,CAIs Mighei IPAG,matrix Banten IPAG,chondrules Banten IPAG,matrix NOGOYA IPAG,chondrules NOGOYA IPAG,CAIs NOGOYA IPAG,ungrouped,matrix ESSEBI IPAG,chondrules ESSEBI IPAG,CAIs ESSEBI IPAG,matrix Cold_Bokkeveld IPAG,chondrules Cold_Bokkeveld IPAG,CAIs Cold_Bokkeveld IPAG,laboratory measurement,transmission,None,hard X,raw,normalized absorbance","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CM'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix ALH83100 IPAG'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules ALH83100 IPAG'}, {'subject': 'CAIs ALH83100 IPAG'}, {'subject': 'matrix ALH84029 IPAG'}, {'subject': 'chondrules ALH84029 IPAG'}, {'subject': 'CAIs ALH84029 IPAG'}, {'subject': 'matrix ALH84044 IPAG'}, {'subject': 'chondrules ALH84044 IPAG'}, {'subject': 'CAIs ALH84044 IPAG'}, {'subject': 'matrix DOM08003 IPAG'}, {'subject': 'chondrules DOM08003 IPAG'}, {'subject': 'CAIs DOM08003 IPAG'}, {'subject': 'matrix LAP02333 IPAG'}, {'subject': 'chondrules LAP02333 IPAG'}, {'subject': 'CAIs LAP02333 IPAG'}, {'subject': 'matrix LAP02336 IPAG'}, {'subject': 'chondrules LAP02336 IPAG'}, {'subject': 'CAIs LAP02336 IPAG'}, {'subject': 'matrix LAP03718 IPAG'}, {'subject': 'chondrules LAP03718 IPAG'}, {'subject': 'CAIs EET83355 IPAG'}, {'subject': 'matrix LEW85311 IPAG'}, {'subject': 'chondrules LEW85311 IPAG'}, {'subject': 'CAIs LEW85311 IPAG'}, {'subject': 'matrix LEW85312 IPAG'}, {'subject': 'chondrules LEW85312 IPAG'}, {'subject': 'CAIs LEW85312 IPAG'}, {'subject': 'matrix LEW87022 IPAG'}, {'subject': 'chondrules LEW87022 IPAG'}, {'subject': 'CAIs LEW87022 IPAG'}, {'subject': 'matrix PCA91008 IPAG'}, {'subject': 'chondrules PCA91008 IPAG'}, {'subject': 'CAIs PCA91008 IPAG'}, {'subject': 'matrix LEW90500 IPAG'}, {'subject': 'chondrules LEW90500 IPAG'}, {'subject': 'CAIs LEW90500 IPAG'}, {'subject': 'matrix LON94101 IPAG'}, {'subject': 'chondrules LON94101 IPAG'}, {'subject': 'CAIs LON94101 IPAG'}, {'subject': 'matrix MCY05230 IPAG'}, {'subject': 'chondrules MCY05230 IPAG'}, {'subject': 'CAIs MCY05230 IPAG'}, {'subject': 'matrix MET01070 IPAG'}, {'subject': 'chondrules MET01070 IPAG'}, {'subject': 'CAIs MET01070 IPAG'}, {'subject': 'matrix QUE97990 IPAG'}, {'subject': 'chondrules QUE97990 IPAG'}, {'subject': 'CAIs QUE97990 IPAG'}, {'subject': 'matrix NIGER IPAG'}, {'subject': 'chondrules NIGER IPAG'}, {'subject': 'CAIs NIGER IPAG'}, {'subject': 'matrix Murchison IPAG'}, {'subject': 'chondrules Murchison IPAG'}, {'subject': 'CAIs Murchison IPAG'}, {'subject': 'matrix Murray IPAG'}, {'subject': 'chondrules Murray IPAG'}, {'subject': 'CAIs Murray IPAG'}, {'subject': 'matrix Boriskino IPAG'}, {'subject': 'chondrules Boriskino IPAG'}, {'subject': 'CAIs Boriskino IPAG'}, {'subject': 'matrix Mighei IPAG'}, {'subject': 'chondrules Mighei IPAG'}, {'subject': 'CAIs Mighei IPAG'}, {'subject': 'matrix Banten IPAG'}, {'subject': 'chondrules Banten IPAG'}, {'subject': 'matrix NOGOYA IPAG'}, {'subject': 'chondrules NOGOYA IPAG'}, {'subject': 'CAIs NOGOYA IPAG'}, {'subject': 'ungrouped'}, {'subject': 'matrix ESSEBI IPAG'}, {'subject': 'chondrules ESSEBI IPAG'}, {'subject': 'CAIs ESSEBI IPAG'}, {'subject': 'matrix Cold_Bokkeveld IPAG'}, {'subject': 'chondrules Cold_Bokkeveld IPAG'}, {'subject': 'CAIs Cold_Bokkeveld IPAG'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'raw'}, {'subject': 'normalized absorbance'}]",['48 spectra'],['ASCII']
-10.5281/zenodo.4314872,"Amory et al. (2021), Geoscientific Model Development : data, model outputs and source code",Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Data and model outputs for the replication of the analysis made in:</strong><br> (see the published version of this article in Geoscientific Model Development, 2021 - please cite this version if you use these data)<br> C. Amory, C. Kittel, L. Le Toumelin, C. Agosta, A. Delhasse, V. Favier, and X. Fettweis: Performance of MAR (v3.11) in simulating the drifting-snow climate and surface mass balance of Adelie Land, East Antarctica, Geoscientific Model Development, accepted, 2021. See README.txt for a full description of the dataset content Please contact me at amory.charles@live.fr if you need other half-hourly outputs or for more details on the dataset",mds,True,findable,0,0,0,0,0,2020-12-10T14:32:28.000Z,2020-12-10T14:32:29.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10005440,"Data for the paper: ""Simulating a Multi-Layered Grid Middleware""",Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Associated paper: https://hal.science/hal-04101015
-Repo here",api,True,findable,0,0,0,0,0,2023-10-15T22:47:25.000Z,2023-10-15T22:47:25.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/bandlist_abs_n2_alpha-n2,Absorption band list of N2 in natural solid N2 (phase alpha),SSHADE/BANDLIST (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",FIR-MIR-NIR absorption band list of the isotopes of $N_2$ in natural solid $\alpha-N2$,mds,True,findable,0,0,0,0,0,2023-04-21T07:12:06.000Z,2023-04-21T07:12:07.000Z,inist.sshade,mgeg,"natural N2 - phase alpha,Nitrogen,Solid alpha Nitrogen,$\alpha$-phase,Dinitrogen,7727-37-9,N2,non polar molecular solid,molecular solids with apolar molecules,inorganic molecular solid,absorption,NIR,MIR,FIR,band frequency,band width,band intensity,transition and vibration modes","[{'subject': 'natural N2 - phase alpha', 'subjectScheme': 'name'}, {'subject': 'Nitrogen', 'subjectScheme': 'name'}, {'subject': 'Solid alpha Nitrogen', 'subjectScheme': 'name'}, {'subject': '$\\alpha$-phase', 'subjectScheme': 'name'}, {'subject': 'Dinitrogen', 'subjectScheme': 'IUPAC name'}, {'subject': '7727-37-9', 'subjectScheme': 'CAS number'}, {'subject': 'N2', 'subjectScheme': 'formula'}, {'subject': 'non polar molecular solid', 'subjectScheme': 'class'}, {'subject': 'molecular solids with apolar molecules', 'subjectScheme': 'class'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'absorption', 'subjectScheme': 'var'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'MIR', 'subjectScheme': 'var'}, {'subject': 'FIR', 'subjectScheme': 'var'}, {'subject': 'band frequency', 'subjectScheme': 'var'}, {'subject': 'band width', 'subjectScheme': 'var'}, {'subject': 'band intensity', 'subjectScheme': 'var'}, {'subject': 'transition and vibration modes', 'subjectScheme': 'var'}]",,['ASCII']
-10.26302/sshade/experiment_lb_20170721_001,"Mid-IR absorbance spectra of bulk CM chondrites in KBr pellets at ambient temperature, 150Â°C and 300Â°C",SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR absorbance spectra of bulk CM chondrites at 3 different temperatures: ambient temperature, 150Â°C and 300Â°C",mds,True,findable,0,0,0,1,0,2020-02-26T17:32:42.000Z,2020-02-26T17:32:43.000Z,inist.sshade,mgeg,"extraterrestrial,complex organic-mineral mix,matrix Boriskino,complex mineral mix,chondrules Boriskino,CAIs Boriskino,physically adsorbed phase,adsorbed water on Boriskino bulk,commercial,bromide,KBr,adsorbed water on KBr (Beck14),matrix Boriskino heated at 150C,matrix Boriskino heated at 300C,matrix LEW85311,chondrules LEW85311,CAIs LEW85311,adsorbed water on LEW85311 bulk,matrix LEW85311 heated at 150C,matrix LEW85311 heated at 300C,matrix QUE97990,chondrules QUE97990,CAIs QUE97990,adsorbed water on QUE97990 bulk,matrix QUE97990 heated at 150C,matrix QUE97990 heated at 300C,matrix Murchison,chondrules Murchison,CAIs Murchison,adsorbed water on MURCHISON bulk,matrix MURCHISON heated at 150C,matrix MURCHISON heated at 300C,matrix MCY05230,chondrules MCY05230,CAIs MCY05230,adsorbed water on MCY05230 bulk,matrix MCY05230 heated at 150C,matrix MCY05230 heated at 300C,matrix LON94101,chondrules LON94101,CAIs LON94101,adsorbed water on LON94101 bulk,matrix LON94101 heated at 150C,matrix LON94101 heated at 300C,matrix QUE99355,chondrules QUE99355,CAIs QUE99355,adsorbed water on QUE99355 bulk,matrix QUE99355 heated at 150C,matrix QUE99355 heated at 300C,matrix DOM03183,chondrules DOM03183,CAIs DOM03183,adsorbed water on DOM03183 bulk,matrix DOM03183 heated at 150C,matrix DOM03183 heated at 300C,matrix LEW87022,chondrules LEW87022,CAIs LEW87022,adsorbed water on LEW87022 bulk,matrix LEW87022 heated at 150C,matrix LEW87022 heated at 300C,matrix DOM08003,chondrules DOM08003,CAIs DOM08003,adsorbed water on DOM08003 bulk,matrix DOM08003 heated at 150C,matrix DOM08003 heated at 300C,matrix Nogoya,chondrules Nogoya,CAIs Nogoya,adsorbed water on NOGOYA bulk,matrix NOGOYA heated at 150C,matrix NOGOYA heated at 300C,matrix ALH84044,chondrules ALH84044,CAIs ALH84044,adsorbed water on ALH84044 bulk,matrix ALH84044 heated at 150C,matrix ALH84044 heated at 300C,matrix ALH83100,chondrules ALH83100,CAIs ALH83100,adsorbed water on ALH83100 bulk,matrix ALH83100 heated at 150C,matrix ALH83100 heated at 300C,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'extraterrestrial'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Boriskino'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Boriskino'}, {'subject': 'CAIs Boriskino'}, {'subject': 'physically adsorbed phase'}, {'subject': 'adsorbed water on Boriskino bulk'}, {'subject': 'commercial'}, {'subject': 'bromide'}, {'subject': 'KBr'}, {'subject': 'adsorbed water on KBr (Beck14)'}, {'subject': 'matrix Boriskino heated at 150C'}, {'subject': 'matrix Boriskino heated at 300C'}, {'subject': 'matrix LEW85311'}, {'subject': 'chondrules LEW85311'}, {'subject': 'CAIs LEW85311'}, {'subject': 'adsorbed water on LEW85311 bulk'}, {'subject': 'matrix LEW85311 heated at 150C'}, {'subject': 'matrix LEW85311 heated at 300C'}, {'subject': 'matrix QUE97990'}, {'subject': 'chondrules QUE97990'}, {'subject': 'CAIs QUE97990'}, {'subject': 'adsorbed water on QUE97990 bulk'}, {'subject': 'matrix QUE97990 heated at 150C'}, {'subject': 'matrix QUE97990 heated at 300C'}, {'subject': 'matrix Murchison'}, {'subject': 'chondrules Murchison'}, {'subject': 'CAIs Murchison'}, {'subject': 'adsorbed water on MURCHISON bulk'}, {'subject': 'matrix MURCHISON heated at 150C'}, {'subject': 'matrix MURCHISON heated at 300C'}, {'subject': 'matrix MCY05230'}, {'subject': 'chondrules MCY05230'}, {'subject': 'CAIs MCY05230'}, {'subject': 'adsorbed water on MCY05230 bulk'}, {'subject': 'matrix MCY05230 heated at 150C'}, {'subject': 'matrix MCY05230 heated at 300C'}, {'subject': 'matrix LON94101'}, {'subject': 'chondrules LON94101'}, {'subject': 'CAIs LON94101'}, {'subject': 'adsorbed water on LON94101 bulk'}, {'subject': 'matrix LON94101 heated at 150C'}, {'subject': 'matrix LON94101 heated at 300C'}, {'subject': 'matrix QUE99355'}, {'subject': 'chondrules QUE99355'}, {'subject': 'CAIs QUE99355'}, {'subject': 'adsorbed water on QUE99355 bulk'}, {'subject': 'matrix QUE99355 heated at 150C'}, {'subject': 'matrix QUE99355 heated at 300C'}, {'subject': 'matrix DOM03183'}, {'subject': 'chondrules DOM03183'}, {'subject': 'CAIs DOM03183'}, {'subject': 'adsorbed water on DOM03183 bulk'}, {'subject': 'matrix DOM03183 heated at 150C'}, {'subject': 'matrix DOM03183 heated at 300C'}, {'subject': 'matrix LEW87022'}, {'subject': 'chondrules LEW87022'}, {'subject': 'CAIs LEW87022'}, {'subject': 'adsorbed water on LEW87022 bulk'}, {'subject': 'matrix LEW87022 heated at 150C'}, {'subject': 'matrix LEW87022 heated at 300C'}, {'subject': 'matrix DOM08003'}, {'subject': 'chondrules DOM08003'}, {'subject': 'CAIs DOM08003'}, {'subject': 'adsorbed water on DOM08003 bulk'}, {'subject': 'matrix DOM08003 heated at 150C'}, {'subject': 'matrix DOM08003 heated at 300C'}, {'subject': 'matrix Nogoya'}, {'subject': 'chondrules Nogoya'}, {'subject': 'CAIs Nogoya'}, {'subject': 'adsorbed water on NOGOYA bulk'}, {'subject': 'matrix NOGOYA heated at 150C'}, {'subject': 'matrix NOGOYA heated at 300C'}, {'subject': 'matrix ALH84044'}, {'subject': 'chondrules ALH84044'}, {'subject': 'CAIs ALH84044'}, {'subject': 'adsorbed water on ALH84044 bulk'}, {'subject': 'matrix ALH84044 heated at 150C'}, {'subject': 'matrix ALH84044 heated at 300C'}, {'subject': 'matrix ALH83100'}, {'subject': 'chondrules ALH83100'}, {'subject': 'CAIs ALH83100'}, {'subject': 'adsorbed water on ALH83100 bulk'}, {'subject': 'matrix ALH83100 heated at 150C'}, {'subject': 'matrix ALH83100 heated at 300C'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['39 spectra'],['ASCII']
-10.26302/sshade/experiment_nf_20220524_0001,MIR absorbance spectra of CH4 ice at 25K for different deposition rates and different thicknesses,SSHADE/SCOOP (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR absorbance spectra of CH4 ice at 25K for different deposition rates (0.17-1.28 nm/s) and different thicknesses (271-4465 nm),mds,True,findable,0,0,0,0,0,2022-05-25T11:24:07.000Z,2022-05-25T11:24:08.000Z,inist.sshade,mgeg,"laboratory,organic molecular solid,amorphous CH4,laboratory measurement,transmission,macroscopic,MIR,Mid-Infrared,absorbance","[{'subject': 'laboratory'}, {'subject': 'organic molecular solid'}, {'subject': 'amorphous CH4'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'absorbance'}]",['23 spectra'],['ASCII']
-10.6084/m9.figshare.21285662,Additional file 2 of Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screening,figshare,2022,,Text,Creative Commons Attribution 4.0 International,Additional file 2. A document containing supplementary Table 1 with TCGA cancer abbreviations.,mds,True,findable,0,0,0,0,0,2022-10-06T07:36:17.000Z,2022-10-06T07:36:17.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Pharmacology,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,80699 Information Systems not elsewhere classified,FOS: Computer and information sciences,19999 Mathematical Sciences not elsewhere classified,FOS: Mathematics,Cancer","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': '80699 Information Systems not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Computer and information sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '19999 Mathematical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Mathematics', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}]",['450424 Bytes'],
-10.26302/sshade/experiment_op_20181105_002,Ni K edge XAS transmission of Ni metallic foil reference at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T09:07:34.000Z,2019-12-05T09:07:34.000Z,inist.sshade,mgeg,"commercial,elemental solid,metallic Ni,laboratory measurement,transmission,None,hard X,hard X-rays","[{'subject': 'commercial'}, {'subject': 'elemental solid'}, {'subject': 'metallic Ni'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.7119224,"FIGURE 2. Bulbophyllum tianguii K.Y.Lang &amp; D.Luo. A. Flowering plant. B. Inflorescence. C in A new species, Bulbophyllum phanquyetii and a new national record of B. tianguii (Orchidaceae) from the limestone area of northern Vietnam",Zenodo,2022,,Image,Open Access,"FIGURE 2. Bulbophyllum tianguii K.Y.Lang &amp; D.Luo. A. Flowering plant. B. Inflorescence. C. Floral bract, abaxial and adaxial side. D. Flowers, side and frontal view. E. Median sepal, abaxial and adaxial side. F. Lateral sepals, adaxial and abaxial side. G. Petals, abaxial and adaxial side. H. Lip, views from different sides. I. Lip median portion. J. Magnified lip margin. K. Pedicel, ovary and column, side view. L. Column apex, views from different sides. M. Anther cap, frontal view and view from back. N. Pollinaria. Photos by Truong Ba Vuong (A, Câ€“N, VNM 00069943) and by Nguyen Van Canh (B, VNM 00069944), design by Truong Ba Vuong, L. Averyanov, and T. Maisak.",mds,True,findable,0,0,0,3,0,2022-09-28T12:12:03.000Z,2022-09-28T12:12:03.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy,Plantae,Tracheophyta,Liliopsida,Asparagales,Orchidaceae,Bulbophyllum","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}, {'subject': 'Plantae'}, {'subject': 'Tracheophyta'}, {'subject': 'Liliopsida'}, {'subject': 'Asparagales'}, {'subject': 'Orchidaceae'}, {'subject': 'Bulbophyllum'}]",,
-10.5281/zenodo.7395343,Discrete Element Modelling of Southeast Asia's 3D Lithospheric Deformation during the Indian Collision,Zenodo,2022,en,Other,"Creative Commons Attribution 4.0 International,Open Access","The Python code and C++ files are for the set-up of the model. The model setup and model engine settings are in the file ""indenter_Batch.py"". The model parameters are in the file ""indentation.Table"". The ""BuoyancySimpleForceEngineOnly.cpp"" file implements the Buoyancy function. ""LPlasPM.cpp"" implements the constitutive law. After downloading the source code YADE from http://www.yade-dem.org/, follow the instructions from the web to install YADE, put all .cpp files into the YADE source folder, and compile them. Run ""yade-batch indentation.Table indenter_Batch.py"" in the Ubuntu system. Then, use Paraview (downloading from https://www.paraview.org/) to see the results of the model.",mds,True,findable,0,0,0,0,0,2022-12-05T00:43:19.000Z,2022-12-05T00:43:19.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_cc_20180723_01,VNIR reflectance spectra of Natrite with 3 different grain sizes and at variable temperature (93-279 K),SSHADE/REFL_SLAB+CSS (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR (0.8-4.2 Âµm) reflectance spectra of Natrite with three different grain sizes (36-50, 75-100 and 125-150 Âµm) acquired at 11 temperatures between 93K and 279K",mds,True,findable,0,0,0,0,0,2019-12-19T19:01:20.000Z,2019-12-19T19:01:21.000Z,inist.sshade,mgeg,"solid,commercial,carbonate,Natrite (sodium carbonate anhydrous),laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'carbonate'}, {'subject': 'Natrite (sodium carbonate anhydrous)'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['36 spectra'],['ASCII']
-10.18709/perscido.2017.11.ds100,The VLTS (Very Large Transition Systems) Benchmark Suite,PerSciDo,2017,en,Dataset,,"The VLTS benchmark suite is a collection of Labelled Transition Systems. Each Labelled Transition System is a directed, connected graph, whose vertices are called states and whose edges are called transitions. There is one distinguished vertex called the initial state. Each transition is labelled by a character string called action or label. There is one distinguished label noted ""i"" that is used for so-called invisible transitions (also known as hidden transitions or tau-transitions). The VLTS benchmarks have been obtained from various case studies about the modelling of communication protocols and concurrent systems. Many of these case studies correspond to real life, industrial systems.",api,True,findable,0,0,0,1,0,2017-11-21T12:56:41.000Z,2017-11-21T12:56:41.000Z,inist.persyval,vcob,Computer Science,"[{'lang': 'en', 'subject': 'Computer Science'}]",['500 MB'],['bcg']
-10.5281/zenodo.4575211,3D Teeth Scan Segmentation and Labelling Challenge,Zenodo,2021,,Other,"Creative Commons Attribution No Derivatives 4.0 International,Open Access","Computer-aided design (CAD) tools have become increasingly popular in modern dentistry for highly accurate treatment planning. In particular, in orthodontic CAD systems, advanced intraoral scanners (IOSs) are now widely used as they provide precise digital surface models of the dentition. Such models can dramatically help dentists simulate teeth extraction, move, deletion, and rearrangement and ease therefore the prediction of treatment outcomes. Hence, digital teeth models have the potential to release dentists from otherwise tedious and time consuming tasks. Although IOSs are becoming widespread in clinical dental practice, there are only few contributions on teeth segmentation/labelling available in the literature [1,2,3] and no publicly available database. A fundamental issue that appears with IOS data is the ability to reliably segment and identify teeth in scanned observations. Teeth segmentation and labelling is difficult as a result of the inherent similarities between teeth shapes as well as their ambiguous positions on jaws. In addition, it faces several challenges:<br> 1- The teeth position and shape variation across subjects.<br> 2- The presence of abnormalities in dentition. For example, teeth crowding which results in teeth misalignment<br> and thus non-explicit boundaries between neighboring teeth. Moreover, lacking teeth and holes are commonly<br> seen among people.<br> 3- Damaged teeth.<br> 4- The presence of braces, and other dental equipment. The challenge we propose will particularly focus on point 1, i.e. the teeth position and shape variation across subjects. With the extension of available data in the mid and long term, the other points will also be addressed in further editions of the challenge. [1] Lian, Chunfeng, et al. ""MeshSNet: Deep multi-scale mesh feature learning for end-to-end tooth labeling on 3D dental surfaces."" International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019.<br> [2] Xu, Xiaojie, Chang Liu, and Youyi Zheng. ""3D tooth segmentation and labeling using deep convolutional neural networks."" IEEE transactions on visualization and computer graphics 25.7 (2018): 2336-2348.<br> [3] Sun, Diya, et al. ""Automatic Tooth Segmentation and Dense Correspondence of 3D Dental Model."" International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2020.",mds,True,findable,0,0,0,0,0,2021-03-03T08:48:15.000Z,2021-03-03T08:48:17.000Z,cern.zenodo,cern,"3D Teeth segmentation,3D segmentation,3D object detection,3D intraoral scans,dentistry","[{'subject': '3D Teeth segmentation'}, {'subject': '3D segmentation'}, {'subject': '3D object detection'}, {'subject': '3D intraoral scans'}, {'subject': 'dentistry'}]",,
-10.17178/amma-catch.al.met_od,"Meteorological dataset (including radiative budget), within the Donga watershed (600 km2), Benin","IRD, CNRS-INSU, OSUG, OMP, OREME",2002,en,Dataset,"Creative Commons Attribution 4.0 International,Data access and use are ruled by the AMMA-CATCH data policy.,For any publication using AMMA-CATCH data, authors are asked to:
-
-Mandatory: cite the reference article and the DOI of the observatory
-
-    (1) Galle et al. (2018). AMMA-CATCH a Critical Zone Observatory in West Africa Monitoring a Region in Transition. Vadose Zone Journal, 17 (1), 18006.
-    (2) AMMA-CATCH (1990). AMMA-CATCH : a hydrological, meteorological and ecological observatory on West Africa. IRD, CNRS-INSU, OSUG, OMP, OREME. doi:10.17178/AMMA-CATCH.all
-
-Optional: cite the DOI of each dataset used.
-
-Co-authorship: depending on the contribution of the data to the scientific results obtained, the authors should either propose co-authorship to the data providers or at least acknowledge their contribution.",Document atmospheric forcing and reference evapotranspiration (Eto) estimation.,mds,True,findable,0,0,1,0,0,2018-03-16T15:36:55.000Z,2018-03-16T15:36:56.000Z,inist.osug,jbru,"Meteorology,Sudanian climate,Wind Speed,Relative Humidity,Standard Deviation of Wind Direction,Net Radiation,Wind Direction,Air Temperature,Incoming Shortwave Radiation,Outgoing Shortwave Radiation,Air Pressure","[{'subject': 'Meteorology', 'subjectScheme': 'main'}, {'subject': 'Sudanian climate', 'subjectScheme': 'main'}, {'subject': 'Wind Speed', 'subjectScheme': 'var'}, {'subject': 'Relative Humidity', 'subjectScheme': 'var'}, {'subject': 'Standard Deviation of Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Net Radiation', 'subjectScheme': 'var'}, {'subject': 'Wind Direction', 'subjectScheme': 'var'}, {'subject': 'Air Temperature', 'subjectScheme': 'var'}, {'subject': 'Incoming Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Outgoing Shortwave Radiation', 'subjectScheme': 'var'}, {'subject': 'Air Pressure', 'subjectScheme': 'var'}]",,"['CSV', 'NETCDF', 'O&amp;M 1.0']"
-10.5281/zenodo.3966773,Data for: Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This dataset is associated to the article ""Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling "" published in Seismological Research Letters (link). It includes the following: The annotated photographs of the EAE (Earthquake Archeological Effects) inventoried in Iznik (""EAE_xxx.pdf""). The 3D displacement signals used as input for obelisk modeling (""Displacement_xxx""). The output obelisk displacement curves and final block shift values relative to base (""Obelisk_block_motion.pdf"").",mds,True,findable,0,0,1,0,0,2020-07-30T07:26:24.000Z,2020-07-30T07:26:27.000Z,cern.zenodo,cern,"earthquakes,North Anatolian fault,archeoseismology,historical seismicity,vulnerability","[{'subject': 'earthquakes'}, {'subject': 'North Anatolian fault'}, {'subject': 'archeoseismology'}, {'subject': 'historical seismicity'}, {'subject': 'vulnerability'}]",,
-10.26302/sshade/experiment_bs_20130215_001,Near-IR optical constants of crystalline CO2 ice at 179 K completed with 28K data,SSHADE/GhoSST (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Near-IR optical constants of crystalline CO2 ice at 179 K, completed by data at 28K for the top of medium-strong bands",mds,True,findable,0,0,0,0,0,2020-01-03T10:12:03.000Z,2020-01-03T10:12:03.000Z,inist.sshade,mgeg,"laboratory,inorganic molecular solid,CO2 ice I,laboratory measurement,transmission,macroscopic,NIR,Near-Infrared,optical constants","[{'subject': 'laboratory'}, {'subject': 'inorganic molecular solid'}, {'subject': 'CO2 ice I'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'optical constants'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.2651652,Results of the initMIP-Antarctica experiments: an ice sheet initialization intercomparison of ISMIP6,Zenodo,2019,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This archive provides the forcing data and ice sheet model output produced as part of the publication "" initMIP-Antarctica: an ice sheet model initialization experiment of ISMIP6"", published in The Cryosphere, https://www.the-cryosphere.net/13/1441/2019/ Seroussi, H., Nowicki, S., Simon, E., Abe-Ouchi, A., Albrecht, T., Brondex, J., Cornford, S., Dumas, C., Gillet-Chaulet, F., Goelzer, H., Golledge, N. R., Gregory, J. M., Greve, R., Hoffman, M. J., Humbert, A., Huybrechts, P., Kleiner, T., Larour, E., Leguy, G., Lipscomb, W. H., Lowry, D., Mengel, M., Morlighem, M., Pattyn, F., Payne, A. J., Pollard, D., Price, S. F., Quiquet, A., Reerink, T. J., Reese, R., Rodehacke, C. B., Schlegel, N.-J., Shepherd, A., Sun, S., Sutter, J., Van Breedam, J., van de Wal, R. S. W., Winkelmann, R., and Zhang, T.: initMIP-Antarctica: an ice sheet model initialization experiment of ISMIP6, The Cryosphere, 13, 1441-1471, https://doi.org/10.5194/tc-13-1441-2019, 2019. Contact: Helene Seroussi, Helene.seroussi@jpl.nasa.gov Further information on ISMIP6 and initMIP-Antarctica can be found here:<br> http://www.climate-cryosphere.org/activities/targeted/ismip6<br> http://www.climate-cryosphere.org/wiki/index.php?title=InitMIP-Antarctica Users should cite the original publication when using all or part of the data. <br> In order to document CMIP6â€™s scientific impact and enable ongoing support of CMIP, users are also obligated to acknowledge CMIP6, ISMIP6 and the participating modeling groups. Archive overview<br> ----------------<br> README.txt - this information dSMB.zip - Surface mass balance anomaly forcing data and description<br> dSMB/<br> dSMB_AIS_01km.nc<br> dSMB_AIS_02km.nc<br> dSMB_AIS_04km.nc<br> dSMB_AIS_08km.nc<br> dSMB_AIS_16km.nc<br> dSMB_AIS_32km.nc<br> README_dSMB_AIS.txt dBasalMelt.zip â€“ Ice shelf Basal Melt anomaly forcing data and description<br> dBasalMelt/<br> dBasalMelt_AIS_01km.nc<br> dBasalMelt_AIS_02km.nc<br> dBasalMelt_AIS_04km.nc<br> dBasalMelt_AIS_08km.nc<br> dBasalMelt_AIS_16km.nc<br> dBasalMelt_AIS_32km.nc<br> README_dBasalMelt_AIS.txt &lt;group&gt;_&lt;model&gt;_&lt;experiment&gt;.zip - The model output per group, model and experiment (init, ctrl, asmb, abmb)<br> &lt;group1&gt;_&lt;model1&gt;_init/<br> acabf_AIS_&lt;group1&gt;_&lt;model1&gt;_init.nc<br> ...<br> &lt;group1&gt;_&lt;model1&gt;_ctrl/<br> acabf_AIS_&lt;group1&gt;_&lt;model1&gt;_ctrl.nc<br> ...<br> &lt;group1&gt;_&lt;model1&gt;_asmb/<br> acabf_AIS_&lt;group1&gt;_&lt;model1&gt;_asmb.nc<br> ...<br> &lt;group1&gt;_&lt;model1&gt;_abmb/<br> acabf_AIS_&lt;group1&gt;_&lt;model1&gt;_abmb.nc<br> ... &lt;group1&gt;_&lt;model2&gt;_init/<br> ...<br> &lt;group1&gt;_&lt;model2&gt;_ctrl/<br> ...<br> &lt;group1&gt;_&lt;model2&gt;_asmb/<br> ...<br> &lt;group1&gt;_&lt;model2&gt;_abmb/<br> ... &lt;group2&gt;_&lt;model1&gt;_init/<br> ...<br> &lt;group2&gt;_&lt;model1&gt;_ctrl/<br> ...<br> &lt;group2&gt;_&lt;model1&gt;_asmb/<br> ...<br> &lt;group2&gt;_&lt;model1&gt;_asmb/<br> ... The following script may be used to download the content of the archive.<br> #!/bin/bash<br> wget https://zenodo.org/record/2651652/files/README.txt<br> wget https://zenodo.org/record/2651652/files/dSMB.zip<br> wget https://zenodo.org/record/2651652/files/dBasalMelt.zip for amodel in ARC_PISM1 ARC_PISM2 ARC_PISM3 ARC_PISM4 AWI_PISM1Eq AWI_PISM1Pal CPOM_BISICLES_A_500m CPOM_BISICLES_B_500m DMI_PISM0 DMI_PISM1 DOE_MALI IGE_ELMER ILTS_SICOPOLIS1 ILTS_SICOPOLIS2 IMAU_IMAUICE JPL1_ISSM LSCE_GRISLI NCAR_CISM PIK_PISM3PAL PIK_PISM4EQUI PSU_EQNOMEC PSU_GLNOMEC UCIJPL_ISSM ULB_FETISH1 VUB_AISMPALEO; do<br> wget https://zenodo.org/record/2651652/files/${amodel}_init.zip<br> wget https://zenodo.org/record/2651652/files/${amodel}_ctrl.zip<br> wget https://zenodo.org/record/2651652/files/${amodel}_asmb.zip<br> wget https://zenodo.org/record/2651652/files/${amodel}_abmb.zip done",mds,True,findable,5,0,0,1,0,2019-07-22T10:02:20.000Z,2019-07-22T10:02:21.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.16851075,Additional file 14 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,"Additional file 14: Fig. S8. NME4 expression is reduced in human breast tumor cell lines with the triple-negative phenotype. NME4 mRNA levels were measured by RTâ€“qPCR in normal-like human breast cell lines, in hormone receptor-positive (HR+) human breast tumor cell lines, and in triple-negative (TN) human breast tumor cell lines. Each data point represents one cell line. Three independent analyses were performed for each cell line. Data are expressed as means Â± SEM. ***p&lt;â€‰0.001, **p&lt;â€‰0.01.",mds,True,findable,0,0,93,1,0,2021-10-22T04:03:44.000Z,2021-10-22T04:03:46.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['931258 Bytes'],
-10.6084/m9.figshare.23575366,Additional file 3 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authorsâ€™ original file for figure 2,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:47.000Z,2023-06-25T03:11:48.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['28672 Bytes'],
-10.26302/sshade/experiment_mm_20161207_004,"NIR reflectance spectra of granular H2O ice, gypsum and ice-gypsum mixtures in martian conditions",SSHADE/SSTONE (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","In order to investigate the spectral behavior of iceâ€“gypsum mixtures, we have acquired laboratory reflectance spectra of ice samples containing various volumetric proportions of gypsum. The ice was produced by condensation of liquid water on a cooled metal plate. It was then crushed to obtain grain sizes between 500 and 600 Âµm. These ice grains were homogenously mixed with an synthetic pure gypsum powder. The samples were then placed in a liquid nitrogen cryostat to reproduce the martian pressure and temperature conditions (7 mbar, 150 K) and their spectra were acquired with a Nicolet 5700 Fourier Transform Infrared Spectrometer.",mds,True,findable,0,0,0,0,0,2023-04-22T08:28:41.000Z,2023-04-22T08:28:41.000Z,inist.sshade,mgeg,"laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,bidirectional reflectance,Gypsum,Crystalline H2O ice,mineral,commercial,laboratory,sulfate,inorganic molecular solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'NIR', 'subjectScheme': 'var'}, {'subject': 'Near-Infrared', 'subjectScheme': 'var'}, {'subject': 'bidirectional reflectance', 'subjectScheme': 'var'}, {'subject': 'Gypsum', 'subjectScheme': 'name'}, {'subject': 'Crystalline H2O ice', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'sulfate', 'subjectScheme': 'compound type'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}]",['4 spectra'],['ASCII']
-10.34847/nkl.345bf9i7,"Le Havre city centre: isovists, Min. ellipse, descriptors",NAKALA - https://nakala.fr (Huma-Num - CNRS),2020,,Dataset,,,api,True,findable,0,0,0,0,0,2022-11-29T04:23:48.000Z,2022-11-29T04:23:48.000Z,inist.humanum,jbru,,,['1872762 Bytes'],['application/zip']
-10.5281/zenodo.4421252,The exercise paradox: Avoiding physical inactivity stimuli requires higher response inhibition,Zenodo,2020,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","<strong>Dataset related to the paper on Response inhibition to physical inactivity stimuli using go/no-go tasks. </strong> This dataset includes: <strong>1) A codebook (including the name of the main variables)</strong> --&gt; ""code_book_Go_noGo_Miller.xlsx"" <strong>2) Raw data of the behavioral outcomes (i.e., reaction times) of the affective go/no-go task</strong> --&gt; ""corrected.behavioral.data.csv"" --&gt; ""correct_Order.csv"" <strong>3) Self-reported data </strong> --&gt; ""Self_report_data.csv"" <strong>3) EEG data </strong> --&gt; ""gng_data"" <strong>5) R script for the data management (i.e., from the raw data to data ready to be analyzed)</strong> --&gt; ""Data_management_Self_report_go_no_go_Miller.R"" for the self-reported data (return the file: ""Data_SR_final.RData"") --&gt; ""Data_management_behav_go_no_go_Miller.R"" for the behavioral outcomes (return the file: ""Data_GNG_behav.RData"") --&gt; Data ready to be analyzed ""Data_GNG_final_all.RData"" <strong>6) Eprime script for the affective go/no-go task (""Go_no_go_task.zip"")</strong> --&gt; Images depicting physical activity and physical inactivity stimuli were kindly Share by Kullmann et al. (2014) <strong>7) R script for the models tested</strong> <strong>--&gt; ""</strong>Models_GoNogo_Miller_VZenodo.R"" for behavioral data --&gt; ""Models_EEG_GoNogo.R"" for EEG data",mds,True,findable,0,0,0,0,0,2021-01-06T13:17:06.000Z,2021-01-06T13:17:41.000Z,cern.zenodo,cern,"Response inhibition,inhibitory control,go/no-go,energetic cost minimization,physical activity","[{'subject': 'Response inhibition'}, {'subject': 'inhibitory control'}, {'subject': 'go/no-go'}, {'subject': 'energetic cost minimization'}, {'subject': 'physical activity'}]",,
-10.26302/sshade/experiment_op_20180115_003,Br K edge XAS transmission and HERFD of potassium bromide anydrous salt at ambient conditions,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-04T08:56:14.000Z,2019-12-04T08:56:14.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,laboratory,bromide,Potassium bromide anydrous salt,laboratory measurement,transmission,None,hard X,hard X-rays,fluorescence emission","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'laboratory'}, {'subject': 'bromide'}, {'subject': 'Potassium bromide anydrous salt'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'fluorescence emission'}]",['2 spectra'],['ASCII']
-10.5281/zenodo.6909792,"IODP Expedition -358, Site C0024 - LWD Data",Zenodo,2022,,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Drilling and Logging data acquired during drilling (Logging-While-Drilling, LWD) of the IODP expedition 358 site C0024.",mds,True,findable,0,0,0,0,0,2022-07-27T00:50:33.000Z,2022-07-27T00:50:34.000Z,cern.zenodo,cern,"IODP Expedition 358,Nankai Accretionary Prism,Site-COO24,Hole C0024A,Logging While Drilling (LWD),NanTroSEIZE,Hydraulic Properties,DÃ©collement,Riserless Drilling","[{'subject': 'IODP Expedition 358'}, {'subject': 'Nankai Accretionary Prism'}, {'subject': 'Site-COO24'}, {'subject': 'Hole C0024A'}, {'subject': 'Logging While Drilling (LWD)'}, {'subject': 'NanTroSEIZE'}, {'subject': 'Hydraulic Properties'}, {'subject': 'DÃ©collement'}, {'subject': 'Riserless Drilling'}]",,
-10.6084/m9.figshare.c.6756888,Flexible optical fiber channel modeling based on a neural network module,Optica Publishing Group,2023,,Collection,Creative Commons Attribution 4.0 International,"Optical fiber channel modeling which is essential in optical transmission system simulations and designs is usually based on the split-step Fourier method (SSFM), making the simulation quite time-consuming owing to the iteration steps. Here, we train a neural network module termed by NNSpan to learn the transfer function of one single fiber (G652 or G655) span with a length of 80km and successfully emulate long-haul optical transmission systems by cascading multiple NNSpans with a remarkable prediction accuracy even over a transmission distance of 1000km. Although training without erbium-doped fiber amplifier (EDFA) noise, NNSpan performs quite well when emulating the systems affected by EDFA noise. An optical bandpass filter can be added after EDFA optionally, making the simulation more flexible. Comparison with the SSFM shows that the NNSpan has a distinct computational advantage with the computation time reduced by a factor of 12. This method based on the NNSpan could be a supplementary option for optical transmission system simulations, thus contributing to system designs as well.",mds,True,findable,0,0,0,0,0,2023-08-10T20:33:33.000Z,2023-08-10T20:33:33.000Z,figshare.ars,otjm,Uncategorized,[{'subject': 'Uncategorized'}],,
-10.6084/m9.figshare.16851093,Additional file 18 of The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Image,Creative Commons Attribution 4.0 International,Additional file 18: Fig. S12. Mitochondrial potential and mitochondrial stress of ZR75-1 cells depleted for NDPK-D. A) Mitochondrial membrane potential was measured by staining ZR75-1 cells depleted for NDPK-D with 200â€‰nM TMRE and the percentage of fluorescence intensity of three independent biological replicates was plotted. Data show means Â± SEM of three independent biological replicates imaged. *p&lt;â€‰0.05 relative to scramble control (Scr). B) Mitochondrial oxidative state was determined by staining the same cell lines with 5â€‰Î¼M MitoSOXTM and the percentage of fluorescence intensity of three independent biological replicates was plotted. Data show means Â± SEM of three independent biological replicates imaged. *p&lt;â€‰0.05 relative to scramble control (Scr).,mds,True,findable,0,0,93,1,0,2021-10-22T04:04:23.000Z,2021-10-22T04:04:25.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",['1198593 Bytes'],
-10.26302/sshade/experiment_bms_20150101_002,VUV absorbance spectra between 10 and 130 K of amorphous CH3CH2CN deposited at 10 K,SSHADE/ACID (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",VUV absorbance spectra between 10 and 130 K of amorphous CH3CH2CN deposited at 10 K,mds,True,findable,0,0,0,0,0,2021-03-01T20:12:49.000Z,2021-03-01T20:12:50.000Z,inist.sshade,mgeg,"laboratory,organic molecular solid,amorphous CH3CH2CN ice,laboratory measurement,transmission,macroscopic,VUV,Vacuum Ultraviolet,absorbance","[{'subject': 'laboratory'}, {'subject': 'organic molecular solid'}, {'subject': 'amorphous CH3CH2CN ice'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'macroscopic'}, {'subject': 'VUV'}, {'subject': 'Vacuum Ultraviolet'}, {'subject': 'absorbance'}]",['4 spectra'],['ASCII']
-10.57745/3vmb3y,Mobi-Switch : a boardgame about urban mobility sustainability,Recherche Data Gouv,2023,,Dataset,,"Mobi-Switch is a board game developed by a team from INRAE's UMR RECOVER, as part of the ANR SwITCh project. The aim of the game is to raise awareness of the sustainability of urban mobility and the challenges associated with it. Players take on the role of elected representatives wishing to improve the sustainability of mobility on their territory. In addition to the collective goal of sustainable mobility, each player is assigned a personal goal. In each round (6 in total, corresponding to the 6 years of a municipal mandate), each player chooses a project from the cards in his or her hand, and tries to convince the others to adhere to his or her project. Each project has an impact on the indicators shown on the game board. It's up to the players to make the right choices to steer mobility towards greater sustainability, while trying to achieve their personal goals.",mds,True,findable,152,4,0,0,0,2023-09-05T08:17:20.000Z,2023-09-05T08:48:43.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.3873088,Raw diffraction data for [NiFeSe] hydrogenase G491S variant pressurized with O2 gas - dataset G491S-O2,Zenodo,2020,,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","Diffraction data measured at ESRF beamline ID29 on October 2, 2017. Image files are uploaded as blocks of cbf files in gzip-compressed tar files.",mds,True,findable,5,0,0,0,0,2020-06-02T13:27:04.000Z,2020-06-02T13:27:05.000Z,cern.zenodo,cern,"Hydrogenase,Selenium,gas channels,high-pressure derivatization","[{'subject': 'Hydrogenase'}, {'subject': 'Selenium'}, {'subject': 'gas channels'}, {'subject': 'high-pressure derivatization'}]",,
-10.5281/zenodo.10485585,"Fig. 7 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016,,Image,License Not Specified,"Fig. 7. Enzymatically derived RES oxylipins produced in the chloroplast that are reduced (green box) and not reduced by ceQORH (red boxes). The yellow box indicates the ceQORH reduction products. ceQORH reduces traumatin in vitro but with very low efficiency compared to AtAER (see text). As traumatin is produced on the cytosolic side of the chloroplast and AtAER is cytosolic we considered ceQORH activity on traumatin as non physiological. 13(S)-HPOD: (9Z,11E,13S)-13-hydroperoxy-octadecadienoic acid; 13 (S)-HPOT: (9Z,11E,13S,15Z)-13-hydroperoxy-octadecatrienoic acid; 12, 13-EOD: 12,13-epoxyoctadecadienoic acid; 12,13-EOT: 12,13-epoxyoctadecatrienoic acid.",api,True,findable,0,0,0,0,0,2024-01-11T04:59:51.000Z,2024-01-11T04:59:51.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
-10.5061/dryad.4rr39,Data from: Highly overlapping winter diet in two sympatric lemming species revealed by DNA metabarcoding,Dryad,2015,en,Dataset,Creative Commons Zero v1.0 Universal,"Sympatric species are expected to minimize competition by partitioning resources, especially when these are limited. Herbivores inhabiting the High Arctic in winter are a prime example of a situation where food availability is anticipated to be low, and thus reduced diet overlap is expected. We present here the first assessment of diet overlap of high arctic lemmings during winter based on DNA metabarcoding of feces. In contrast to previous analyses based on microhistology, we found that the diets of both collared (Dicrostonyx groenlandicus) and brown lemmings (Lemmus trimucronatus) on Bylot Island were dominated by Salix while mosses, which were significantly consumed only by the brown lemming, were a relatively minor food item. The most abundant plant taxon, Cassiope tetragona, which alone composes more than 50% of the available plant biomass, was not detected in feces and can thus be considered to be non-food. Most plant taxa that were identified as food items were consumed in proportion to their availability and none were clearly selected for. The resulting high diet overlap, together with a lack of habitat segregation, indicates a high potential for resource competition between the two lemming species. However, Salix is abundant in the winter habitats of lemmings on Bylot Island and the non-Salix portion of the diets differed between the two species. Also, lemming grazing impact on vegetation during winter in the study area is negligible. Hence, it seems likely that the high potential for resource competition predicted between these two species did not translate into actual competition. This illustrates that even in environments with low primary productivity food resources do not necessarily generate strong competition among herbivores.",mds,True,findable,401,64,1,1,0,2015-02-03T16:24:46.000Z,2015-02-03T16:24:47.000Z,dryad.dryad,dryad,"arctic bryophyte,Diet Analysis,lemming,Lemmus trimucronatus,bryophyte reference library,Boreal,trnL (UAA) intron,Bryophyta,c-h primer pair,Dicrostonyx groenlandicus","[{'subject': 'arctic bryophyte'}, {'subject': 'Diet Analysis'}, {'subject': 'lemming'}, {'subject': 'Lemmus trimucronatus'}, {'subject': 'bryophyte reference library'}, {'subject': 'Boreal'}, {'subject': 'trnL (UAA) intron'}, {'subject': 'Bryophyta'}, {'subject': 'c-h primer pair'}, {'subject': 'Dicrostonyx groenlandicus'}]",['9873653 bytes'],
-10.26302/sshade/experiment_dl_20181107_001,Mn K edge XAS HERFD of synthetic Mn2+-nitronyl-nitroxide 2D magnet at 10K,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-11-15T20:25:01.000Z,2019-11-15T20:25:01.000Z,inist.sshade,mgeg,"laboratory,other compound,Synthetic Mn2+-nitronyl-nitroxide 2D magnet,laboratory measurement,fluorescence emission,None,hard X,hard X-rays","[{'subject': 'laboratory'}, {'subject': 'other compound'}, {'subject': 'Synthetic Mn2+-nitronyl-nitroxide 2D magnet'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.5578340,Salem simulator 2.0,Zenodo,2021,en,Software,"GNU Library General Public License v2.1 or later,Open Access","Installer for the Salem simulator 2.0, including the source code. This version corresponds to the release r17186 on the Capsis repository (http://capsis.cirad.fr/capsis/home). Java Runtime Environment 1.8.xxx is required to run the simulator. Salem predicts the dynamics of pure and mixed even-aged forest stands and makes it possible to simulate management operations. Its purpose is to be a decision support tool for forest managers and stakeholders as well as for policy makers. It is also designed to conduct virtual experiments and help answer research questions. Salem is essentially calibrated with French National Forest Inventory for 12 common tree species of Eupore. The mixture effect on species growth is assessed for 24 pairs of these species. Salem runs on Windows, Linux, or Mac. Its user-friendly Graphical User Interface makes it easy to use for non-modellers.",mds,True,findable,0,0,0,0,0,2021-10-19T12:00:16.000Z,2021-10-19T12:00:18.000Z,cern.zenodo,cern,"Forest,Simulator,Growth,Mixture effect,Foret management,Silviculture","[{'subject': 'Forest'}, {'subject': 'Simulator'}, {'subject': 'Growth'}, {'subject': 'Mixture effect'}, {'subject': 'Foret management'}, {'subject': 'Silviculture'}]",,
-10.5061/dryad.ff138,Data from: Contrasting microbial biogeographical patterns between anthropogenic subalpine grasslands and natural alpine grasslands,Dryad,2016,en,Dataset,Creative Commons Zero v1.0 Universal,"The effect of plant species composition on soil microbial communities was studied at the multiregional level. We compared the soil microbial communities of alpine natural grasslands dominated by Carex curvula and anthropogenic subalpine pastures dominated by Nardus stricta. We conducted paired sampling across the Carpathians and the Alps and used Illumina sequencing to reveal the molecular diversity of soil microbes. We found that bacterial and fungal communities exhibited contrasting regional distributions and that the distribution in each grassland is well discriminated. Beta diversity of microbial communities was much higher in C. curvula grasslands due to a marked regional effect. The composition of grassland-type core microbiomes suggest that C. curvula, and N. stricta to a lesser extent, tend to select a cohort of microbes related to antibiosis/exclusion, pathogenesis and endophytism. We discuss these findings in light of the postglacial history of the studied grasslands, the habitat connectivity and the disturbance regimes. Human-induced disturbance in the subalpine belt of European mountains has led to homogeneous soil microbial communities at large biogeographical scales. Our results confirm the overarching role of the dominant grassland plant species in the distribution of microbial communities and highlight the relevance of biogeographical history.",mds,True,findable,340,77,1,1,0,2015-09-01T13:45:21.000Z,2015-09-01T13:45:23.000Z,dryad.dryad,dryad,"core-community,Post-glacial period,alpine ecosystems,bacterial and fungal soil diversity,mountain grasslands,microbial biogeography,biotrophic fungi,keystone species.","[{'subject': 'core-community'}, {'subject': 'Post-glacial period'}, {'subject': 'alpine ecosystems'}, {'subject': 'bacterial and fungal soil diversity'}, {'subject': 'mountain grasslands'}, {'subject': 'microbial biogeography'}, {'subject': 'biotrophic fungi'}, {'subject': 'keystone species.'}]",['103159872 bytes'],
-10.5061/dryad.4j0zpc8h2,Data for: A spatially explicit trait-based approach uncovers changes in assembly processes under warming,Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"The re-assembly of plant communities during climate warming depends on several concurrent processes. Here we present a novel framework that integrates spatially explicit sampling, plant trait information and a warming experiment to quantify shifts in these assembly processes. By accounting for spatial distance between individuals, our framework allows separation of potential signals of environmental filtering from those of different types of competition. When applied to an elevational transplant experiment in the French Alps, we found common signals of environmental filtering and competition in all communities. Signals of environmental filtering were generally stronger in alpine than in subalpine control communities, and warming reduced this filter. Competition signals depended on treatments and traits: Symmetrical competition was dominant in control and warmed alpine communities, while hierarchical competition was present in subalpine communities. Our study highlights how distance dependent frameworks can contribute to a better understanding of transient re-assembly dynamics during environmental change.",mds,True,findable,138,18,0,0,0,2023-03-03T10:08:24.000Z,2023-03-03T10:08:24.000Z,dryad.dryad,dryad,"FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences,Community assembly,reciprocal transplant,environmental filtering,hierarchical competition,symmetric competition,spatial associations,warming experiment,Climate change,alpine grasslands","[{'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Community assembly', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'reciprocal transplant'}, {'subject': 'environmental filtering'}, {'subject': 'hierarchical competition'}, {'subject': 'symmetric competition'}, {'subject': 'spatial associations'}, {'subject': 'warming experiment'}, {'subject': 'Climate change', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'alpine grasslands'}]",['5357448510 bytes'],
-10.26302/sshade/experiment_jf_20220531_001,"Visible near infrared spectra of rocks from the Solfatara crater, Phlegrean fields, Italy",SSHADE/Mirabelle (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Visible near infrared spectra of rocks from the Solfatara crater, Phlegrean fields, Italy",mds,True,findable,0,0,0,0,0,2022-07-28T15:00:47.000Z,2022-07-28T15:00:48.000Z,inist.sshade,mgeg,"solid,natural terrestrial,tektosilicate,Opal,oxide-hydroxide,Anatase,carbonate,Calcite,elemental mineral,Sulfur,sulfate,Alunite,Alunogen,Alum-(K),Mercallite,Yavapaiite,Goldichite,Coquimbite,Tamarugite,Jarosite,Hematite,phyllosilicate,Kaolinite,sulfide,Realgar,Cinnabar,Orpiment,field measurement,biconical reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,normalized reflectance","[{'subject': 'solid'}, {'subject': 'natural terrestrial'}, {'subject': 'tektosilicate'}, {'subject': 'Opal'}, {'subject': 'oxide-hydroxide'}, {'subject': 'Anatase'}, {'subject': 'carbonate'}, {'subject': 'Calcite'}, {'subject': 'elemental mineral'}, {'subject': 'Sulfur'}, {'subject': 'sulfate'}, {'subject': 'Alunite'}, {'subject': 'Alunogen'}, {'subject': 'Alum-(K)'}, {'subject': 'Mercallite'}, {'subject': 'Yavapaiite'}, {'subject': 'Goldichite'}, {'subject': 'Coquimbite'}, {'subject': 'Tamarugite'}, {'subject': 'Jarosite'}, {'subject': 'Hematite'}, {'subject': 'phyllosilicate'}, {'subject': 'Kaolinite'}, {'subject': 'sulfide'}, {'subject': 'Realgar'}, {'subject': 'Cinnabar'}, {'subject': 'Orpiment'}, {'subject': 'field measurement'}, {'subject': 'biconical reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'normalized reflectance'}]",['23 spectra'],['ASCII']
-10.5061/dryad.wh70rxwpz,"Consilience across multiple, independent genomic data sets reveals species in a complex with limited phenotypic variation",Dryad,2022,en,Dataset,Creative Commons Zero v1.0 Universal,"Species delimitation in the genomic era has focused predominantly on the application of multiple analytical methodologies to a single massive parallel sequencing (MPS) data set, rather than leveraging the unique but complementary insights provided by different classes of MPS data. In this study we demonstrate how the use of two independent MPS data sets, a sequence capture data set and a single nucleotide polymorphism (SNP) data set generated via genotyping-by-sequencing, enables the resolution of species in three complexes belonging to the grass genus Ehrharta, whose strong population structure and subtle morphological variation limit the effectiveness of traditional species delimitation approaches. Sequence capture data are used to construct a comprehensive phylogenetic tree of Ehrharta and to resolve population relationships within the focal clades, while SNP data are used to detect patterns of gene pool sharing across populations, using a novel approach that visualises multiple values of K. Given that the two genomic data sets are fully independent, the strong congruence in the clusters they resolve provides powerful ratification of species boundaries in all three complexes studied. Our approach is also able to resolve a number of single-population species and a probable hybrid species, both which would be difficult to detect and characterize using a single MPS data set. Overall, the data reveal the existence of 11 and five species in the E. setacea and E. rehmannii complexes, with the E. ramosa complex requiring further sampling before species limits are finalized. Despite phenotypic differentiation being generally subtle, true crypsis is limited to just a few species pairs and triplets. We conclude that, in the absence of strong morphological differentiation, the use of multiple, independent genomic data sets is necessary in order to provide the cross-data set corroboration that is foundational to an integrative taxonomic approach.",mds,True,findable,110,6,0,0,0,2023-02-14T19:25:59.000Z,2023-02-14T19:26:00.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['12793091 bytes'],
-10.26302/sshade/experiment_ak_20141113_1,Mid-infrared attenuated total reflectance experiment with Cs+ exchanged less 1 Î¼m size fraction of montmorillonite (SCa-3) equilibrated with D2O vapor under variable relative humidity,SSHADE/LSD (OSUG Data Center),2019,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2022-11-04T08:14:43.000Z,2022-11-04T08:14:44.000Z,inist.sshade,mgeg,"natural terrestrial,phyllosilicate,Cs-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm,liquid,D2O 99.9 Sigma-Aldrich,laboratory measurement,ATReflection,macroscopic,MIR,Mid-Infrared,corrected ATR absorbance","[{'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'Cs-exchanged montmorillonite SCa-3 size-fraction &lt;1 Âµm'}, {'subject': 'liquid'}, {'subject': 'D2O 99.9 Sigma-Aldrich'}, {'subject': 'laboratory measurement'}, {'subject': 'ATReflection'}, {'subject': 'macroscopic'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'corrected ATR absorbance'}]",['3 spectra'],['ASCII']
-10.5061/dryad.pc866t1k5,Climate associated genetic variation in Fagus sylvatica and potential responses to climate change in the French Alps,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Local adaptation patterns have been found in many plants and animals, highlighting the genetic heterogeneity of species along their range of distribution. In the next decades, global warming is predicted to induce a change in the selective pressures that drive this adaptive variation, forcing a reshuffling of the underlying adaptive allele distributions. For species with low dispersion capacity and long generation time such as trees, the rapidity of the change could imped the migration of beneficial alleles and lower their capacity to track the changing environment. Identifying the main selective pressures driving the adaptive genetic variation is thus necessary when investigating species capacity to respond to global warming. In this study, we investigate the adaptive landscape of Fagus sylvatica along a gradient of populations in the French Alps. Using a double digest restriction-site associated DNA (ddRAD) sequencing approach, we identified 7,000 SNPs from 570 individuals across 36 different sites. A redundancy analysis (RDA)-derived method allowed us to identify several SNPs that were strongly associated with climatic gradients; moreover, we defined the primary selective gradients along the natural populations of F. sylvatica in the Alps. Strong effects of elevation and humidity, which contrast north-western and south-eastern site, were found and were believed to be important drivers of genetic adaptation. Finally, simulations of future genetic landscapes that used these findings allowed identifying populations at risk for F. sylvatica in the Alps, which could be helpful for future management plans.",mds,True,findable,412,108,1,1,0,2020-03-06T19:38:40.000Z,2020-03-06T19:38:41.000Z,dryad.dryad,dryad,"RDA,Fagus sylvatica,French Alps","[{'subject': 'RDA'}, {'subject': 'Fagus sylvatica'}, {'subject': 'French Alps'}]",['132729513 bytes'],
-10.5061/dryad.9w0vt4bd1,Power and limitations of environmental DNA metabarcoding for surveying leaf litter eukaryotic communities,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Leaf litter habitats shelter a great variety of organisms, which play an important role in ecosystem dynamics. However, monitoring species in leaf litter is challenging, especially in highly diverse environments such as tropical forests, because individuals may easily camouflage themselves or hide in the litter layer. Identifying species based on environmental DNA (eDNA) would allow us to assess biodiversity in this microhabitat, without the need for direct observation of individuals. We applied eDNA metabarcoding to analyze large amounts of leaf litter (1 kg per sample) collected in the Brazilian Atlantic forest. We compared two DNA extraction methods, one total and one extracellular, and amplified a fragment of the mitochondrial 18S rRNA gene common to all eukaryotes, to assess the performance of eDNA from leaf litter samples in identifying different eukaryotic taxonomic groups. We also amplified two fragments of the mitochondrial 12S rRNA gene to specifically test the power of this approach for monitoring vertebrate species, with a focus on anurans. Most of the eukaryote sequence reads obtained were classified as Fungi, followed by Metazoa, and Viridiplantae. Most vertebrate sequences were assigned to Homo sapiens; only two sequences assigned to the genus Phyllomedusa and the species Euparkerella brasiliensis can be considered true detections of anurans in our eDNA samples. The detection of taxa varied depending on the DNA extraction method applied. Our results demonstrate that the analysis of eDNA from leaf litter samples has low power for monitoring vertebrate species, and should be preferentially applied to describe active and abundant taxa in terrestrial communities, such as Fungi and invertebrates.",mds,True,findable,103,4,0,0,0,2021-03-23T17:40:28.000Z,2021-03-23T17:40:29.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['4618934791 bytes'],
-10.26302/sshade/experiment_zed_20230519_01,MIR transmission spectra of eleven stratospheric IDPs,SSHADE/DAYSY (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR spectroscopy of stratospheric IDPs in tranmission (sample crushed in a diamand compression cell),mds,True,findable,0,0,2,0,0,2023-05-25T10:18:00.000Z,2023-05-25T10:18:01.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,micro-imaging,MIR,Mid-Infrared,Olivine,Pyroxene,extraterrestrial,nesosilicate,inosilicate,None,chondritic","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'transmission', 'subjectScheme': 'main'}, {'subject': 'micro-imaging', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'Olivine', 'subjectScheme': 'name'}, {'subject': 'Pyroxene', 'subjectScheme': 'name'}, {'subject': 'extraterrestrial', 'subjectScheme': 'family'}, {'subject': 'nesosilicate', 'subjectScheme': 'compound type'}, {'subject': 'inosilicate', 'subjectScheme': 'compound type'}, {'subject': 'None', 'subjectScheme': 'meteorite group'}, {'subject': 'chondritic', 'subjectScheme': 'meteorite group'}]",['11 spectra'],['ASCII']
-10.5281/zenodo.7143466,Script Rmarkdown - Projet C-PED,Zenodo,2022,,Software,Restricted Access,Script Rmarkdown Ã©crit avec R 4.0.5 dans le cadre du projet C-PED. Analyses statistiques en temps rÃ©el des donnÃ©es de l'Ã©tude C-PED en lien avec le fichier de saisie.,mds,True,findable,0,0,0,0,0,2022-10-04T14:04:17.000Z,2022-10-04T14:04:18.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.5243264,Norwegian DBnary archive in original Lemon format,Zenodo,2021,no,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Norwegian language edition, ranging from 6th February 2015 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.",mds,True,findable,0,0,0,0,0,2021-08-24T10:53:45.000Z,2021-08-24T10:53:46.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.5061/dryad.jq2bvq878,Bird abundance data for the period 2002-2014 from the French Breeding Bird Survey (STOC),Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"Abundance data on breeding birds from the French Breeding Bird Survey (Suivi Temporel des Oiseaux Communs, STOC), for the period 2002-2014. The dataset comprises 7,115 bird communities. Only 107 common species were included in the study.",mds,True,findable,234,40,0,1,0,2020-08-31T21:04:09.000Z,2020-08-31T21:04:11.000Z,dryad.dryad,dryad,"bird communities,STOC,bird survey,France","[{'subject': 'bird communities'}, {'subject': 'STOC'}, {'subject': 'bird survey'}, {'subject': 'France', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['10182638 bytes'],
-10.57745/gzkuzs,Ventricular-fold dynamics in human phonation,Recherche Data Gouv,2022,,Dataset,,"This database of images, audio samples and highspeed videos have been established as a supplementary material to the paper : â€œVentricular-fold dynamics in human phonationâ€ Bailly L., Henrich Bernardoni N., MÃ¼ller F., Rohlfs A-K., Hess M., JSLHR, Vol. 57 pp. 1219â€“1242, August 2014 (https://hal.archives-ouvertes.fr/hal-00998464). It completes Figures B1 and B2 in Appendix B. It includes 58 videos (avi format, without sound for highspeed videos), the 2*58 audio files in wav, ""short"" and ""long"" version (with context), 58 images of folds (png format) and 58 associated kymographic images (bmp format). The whole database is 1.66 GB. The largest files are the videos, from 6 to 102 MB.",mds,True,findable,132,8,0,0,0,2022-06-23T12:01:02.000Z,2022-07-08T08:35:24.000Z,rdg.prod,rdg,,,,
-10.26302/sshade/experiment_lm_20220302_olve,Vis-NIR reflectance spectra of pellets of olivine (0.1-1 mm) and vermiculite (inf. 0.1 mm) mixtures,SSHADE/ROMA (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Vis-NIR reflectance spectra (i=0Â°, e=30Â°, az=0Â°) of olivine and vermiculite mixtures (pellets), in the following fractions: 0:100, 1:99, 5:95, 10:90, 20:80, 40:60, 60:40, 80:20, 90:10, 95:5, 99:1, and 100:0.",mds,True,findable,0,0,0,0,0,2022-03-04T12:30:27.000Z,2022-03-04T12:30:28.000Z,inist.sshade,mgeg,"mineral,natural terrestrial,phyllosilicate,vermiculite,nesosilicate,olivine,laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor","[{'subject': 'mineral'}, {'subject': 'natural terrestrial'}, {'subject': 'phyllosilicate'}, {'subject': 'vermiculite'}, {'subject': 'nesosilicate'}, {'subject': 'olivine'}, {'subject': 'laboratory measurement'}, {'subject': 'bidirectional reflection'}, {'subject': 'macroscopic'}, {'subject': 'Vis'}, {'subject': 'Visible'}, {'subject': 'NIR'}, {'subject': 'Near-Infrared'}, {'subject': 'reflectance factor'}]",['12 spectra'],['ASCII']
-10.5061/dryad.ttdz08ktn,Cold adaptation across the elevation gradient in an alpine butterfly species complex,Dryad,2020,en,Dataset,Creative Commons Zero v1.0 Universal,"1. Temperature acts as a major factor on the timing of activity and behaviour in butterflies, and it might represent a key driver of butterfly diversification along elevation gradients. Under this hypothesis, local adaptation should be found along the elevation gradient, with butterflies from high elevation populations able to remain active at lower ambient temperature than those from low elevation. 2. We recorded the warming-up rate and the thoracic temperature at take-off of 123 individuals of the Alpine butterfly species complex Coenonympha arcania - C. macromma - C. gardetta in controlled conditions. 3. Warming-up rate increased with elevation within C. arcania: high elevation males of C. arcania were able to warm-up more quickly, as compared to low elevation ones. 4. High elevation C. gardetta had a darker underwing pattern than low elevation ones. This high-elevation species was significantly smaller (lower weight and wing surface) than the two other species, and had a faster warming up rate. 5. Our results suggest that the ability to warm-up quickly and to take-flight at a high body temperature evolved adaptively in the high-altitude C. gardetta, and that low temperature at high altitude may explain the absence there of C. arcania, while the hybrid nature of C. macromma is probably the explanation of its elevation overlap with both other species, and its local replacement of C. gardetta.",mds,True,findable,157,5,0,1,0,2020-04-06T17:11:27.000Z,2020-04-06T17:11:30.000Z,dryad.dryad,dryad,"Thorax temperature,Coenonympha arcania,Coenonympha macromma,Coenonympha gardetta","[{'subject': 'Thorax temperature'}, {'subject': 'Coenonympha arcania'}, {'subject': 'Coenonympha macromma'}, {'subject': 'Coenonympha gardetta'}]",['271993187 bytes'],
-10.6084/m9.figshare.12270158,Additional file 2 of One-year survival in acute stroke patients requiring mechanical ventilation: a multicenter cohort study,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 2. Characteristics of inclusion centers.,mds,True,findable,0,0,33,0,0,2020-05-08T04:08:05.000Z,2020-05-08T04:08:06.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['16126 Bytes'],
-10.26302/sshade/experiment_gp_20180208_001,Pt L3 edge XAS fluorescence and XAS transmission of Aqueous platinum chloride soutions at 600-700 nars and 30Â°C,SSHADE/FAME (OSUG Data Center),2022,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Platinum (IV) and platinum (II) chloride aqueous solutions references at concentration around 0.1m Pt, in transmission and in fluorescence.",mds,True,findable,0,0,0,0,0,2022-12-13T11:19:21.000Z,2022-12-13T11:19:21.000Z,inist.sshade,mgeg,"laboratory,liquid solution,K2PtCl4 aq solution 0.0148m + 0.233m HCl + 0.004m KBr,H2PtCl6 aq solution 0.007m + 0.616m HCl + 0.004m KBr,solid,commercial,non-oxide ceramic,BN powder,chloride,K2PtCl4,K2PtCl6,laboratory measurement,fluorescence emission,None,hard X,hard X-rays,transmission","[{'subject': 'laboratory'}, {'subject': 'liquid solution'}, {'subject': 'K2PtCl4 aq solution 0.0148m + 0.233m HCl + 0.004m KBr'}, {'subject': 'H2PtCl6 aq solution 0.007m + 0.616m HCl + 0.004m KBr'}, {'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'chloride'}, {'subject': 'K2PtCl4'}, {'subject': 'K2PtCl6'}, {'subject': 'laboratory measurement'}, {'subject': 'fluorescence emission'}, {'subject': 'None'}, {'subject': 'hard X'}, {'subject': 'hard X-rays'}, {'subject': 'transmission'}]",['6 spectra'],['ASCII']
-10.17178/ohmcv.dsd.ale.12-16.1,"DSD network, Ales (Ecole des Mines)",CNRS - OSUG - OREME,2004,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,0,0,2017-10-17T13:24:14.000Z,2017-10-17T13:24:15.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.5281/zenodo.4008396,"Data and Figures used in ""Fast Quasiâ€Geostrophic Magnetoâ€Coriolis Modes in the Earth's Core""",Zenodo,2020,,Dataset,"GNU General Public License v3.0 or later,Open Access","Data, plotting routines and analysis routines to reproduce all results from the article Fast Quasiâ€Geostrophic Magnetoâ€Coriolis Modes in the Earth's Core. The package uses the freely available code Mire.jl. <strong>Prerequisites</strong> Installed python3 with matplotlib â‰¥v2.1 and cartopy. A working Julia â‰¥v1.6. <strong>Run</strong> In the project folder run <pre><code>julia --project=.</code></pre> <br> Then, from within the Julia REPL run <pre><code>]instantiate</code></pre> at first time, to install all dependencies. After that, to compute all plots run <pre><code>using FastMCM allfigs() #or allfigs(true) to use LaTeX fonts</code></pre> If loading FastMCM fails, due to a missing cartopy in the python version. Run (within Julia)<br> <pre><code>ENV[""PYTHON""] = ""python"" #this should point to the python version that has cartopy installed ]build PyCall</code></pre> <br> To calculate data, run <pre><code>using FastMCM N=9 calc1dtm() calcLHSRHS(N) calcesol(N) postprocess(N) </code></pre> <br> for a given N. Note, for large N (e.g. 35) this may take a lot of memory and a long time (~13h). If there are any issues, please don't hesitate to get in touch.",mds,True,findable,0,0,0,0,0,2021-03-25T21:08:40.000Z,2021-03-25T21:08:41.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4943234,"Supplementary Data Set for ""Seeds of imperfection rule the mesocrystalline disorder in natural anhydrite single crystals""",Zenodo,2021,,Dataset,"Creative Commons Attribution 4.0 International,Open Access",Complete data sets: 1. DATA_SAXS_WAXS.zip - raw and reduced SAXS and WAXS measurements. NXS format and metadata 2. M-ERSC2020110901CT.zip - raw X-ray microtomography dataset. TIFF format and metadata. 3. Video_1_CT_3D_overview_XY_rotation.avi - uncompressed video 4. Video_2_CT_3D_overview_ZX_rotation.avi - uncompressed video 5. Video_3_CT_3D_internal_structure_XY_rotation.avi - uncompressed video,mds,True,findable,0,0,0,0,0,2021-06-17T05:00:44.000Z,2021-06-17T05:00:46.000Z,cern.zenodo,cern,"calcium sulfate,calcium sulphate,anhydrite,single crystal,mesocrystal,nucleation and growth,crystallisation,particle mediated","[{'subject': 'calcium sulfate'}, {'subject': 'calcium sulphate'}, {'subject': 'anhydrite'}, {'subject': 'single crystal'}, {'subject': 'mesocrystal'}, {'subject': 'nucleation and growth'}, {'subject': 'crystallisation'}, {'subject': 'particle mediated'}]",,
-10.15778/resif.xs2010,Seismic network XS:CHILE MAULE aftershock temporary experiment (RESIF-SISMOB),RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2011,en,Other,"Open Access,Creative Commons Attribution 4.0 International","After the 2010 maule earthquake mainshock, 41 seismological SISMOBâ€™s stations were deployed: 26 CMG40 HH, 14 CMG5 HN and 1 Episensor HN sensors, all connected to 24 bits Taurus acquisition systems. The stations were installed on rocky sites and their location was defined following the information provided by USGS on rupture extension and aftershocks localization. All the stations are in continuous recording mode, at 100 Hz. The stations were spread along the Chilean coast, and a special attention was paid to the boundaries of the rupture between the 1960 (Valdivia, Mw 9.5) et 2010 earthquakes toward the South, and the 1985 (Valparaiso, Mw 7.8) and 2010 earthquakes toward the North.",mds,True,findable,0,0,0,3,0,2016-06-14T11:53:47.000Z,2016-06-14T11:53:47.000Z,inist.resif,vcob,"Maule earthquake,Chile,Aftershocks sequence,Seismology","[{'subject': 'Maule earthquake'}, {'subject': 'Chile'}, {'subject': 'Aftershocks sequence'}, {'subject': 'Seismology'}]",,
-10.6084/m9.figshare.23575375,Additional file 6 of Decoupling of arsenic and iron release from ferrihydrite suspension under reducing conditions: a biogeochemical model,figshare,2023,,Text,Creative Commons Attribution 4.0 International,Authorsâ€™ original file for figure 5,mds,True,findable,0,0,0,0,0,2023-06-25T03:11:53.000Z,2023-06-25T03:11:53.000Z,figshare.ars,otjm,"59999 Environmental Sciences not elsewhere classified,FOS: Earth and related environmental sciences,39999 Chemical Sciences not elsewhere classified,FOS: Chemical sciences,Ecology,FOS: Biological sciences,69999 Biological Sciences not elsewhere classified,Cancer","[{'subject': '59999 Environmental Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '39999 Chemical Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Chemical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Ecology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'Cancer'}]",['67584 Bytes'],
-10.26302/sshade/experiment_lb_20200226_001,"UV Raman spectra (Î» = 244 nm) of chondritic IOM (CI, CM, CR, ung.)",SSHADE/GhoSST (OSUG Data Center),2020,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2020-06-02T14:50:19.000Z,2020-06-02T14:50:20.000Z,inist.sshade,mgeg,"extraterrestrial,organic molecular solid,IOM HF/HCl of Alais,IOM HF/HCl of Cold Bokkeveld,IOM HF/HCl of Murchison,IOM HF/HCl of Murray,IOM HF/HCl of Orgueil,IOM HF/HCl of Renazzo,IOM HF/HCl of Tagish Lake,laboratory measurement,Raman scattering,microscopy,MIR,Mid-Infrared,Raman scattering intensity,normalized Raman scattering intensity","[{'subject': 'extraterrestrial'}, {'subject': 'organic molecular solid'}, {'subject': 'IOM HF/HCl of Alais'}, {'subject': 'IOM HF/HCl of Cold Bokkeveld'}, {'subject': 'IOM HF/HCl of Murchison'}, {'subject': 'IOM HF/HCl of Murray'}, {'subject': 'IOM HF/HCl of Orgueil'}, {'subject': 'IOM HF/HCl of Renazzo'}, {'subject': 'IOM HF/HCl of Tagish Lake'}, {'subject': 'laboratory measurement'}, {'subject': 'Raman scattering'}, {'subject': 'microscopy'}, {'subject': 'MIR'}, {'subject': 'Mid-Infrared'}, {'subject': 'Raman scattering intensity'}, {'subject': 'normalized Raman scattering intensity'}]",['14 spectra'],['ASCII']
-10.17178/cryobsclim.clb.all,Cryobs-Clim-CLB / Col du Lac Blanc : a meteorological and blowing snow observatory,CNRS - OSUG - Meteo France - Irstea,2000,en,Dataset,"Data access and use are ruled by the CRYOBS-CLIM data policy.,Always quote below citation to Guyomarch et al. (2019) when using data.
-G. Guyomarc'h, H. bellot, V. Vionnet, F. Naaim-Bouvet, Y. Deliot, F. Fontaine, P. Pugliese, M. Naaim, K. Nishimura, A meteorological and blowing snow data set (2000-2016) from a high altitude alpine site (Col du Lac Blanc, France, 2720 m a.s.l), Earth System Science Data, 11(2019), 57-69, https://doi.org/10.5194/essd-11-57-2019. The following acknowledging sentence should appear in publications using Cryobs-Clim-CLB data and products: ""Cryobs-Clim Col du Lac Blanc is funded by Meteo France, Irstea, the Institut National des Sciences de lâ€™Univers (INSU/CNRS),  and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€. You are invited to contact the PI(s) or lead scientist for more information about the data and to include the acknowledgement sentence in any publication using the data.","The Col du Lac Blanc observatory is located near l'Alpe d'Huez resort in the Grandes-Rousses massif and is dedicated to study interactions between the cryosphere and the atmosphere at high altitude, with a focus on blowing and drifting snow studies. The site is managed by MÃ©tÃ©o-France (CNRM/CEN) and IRSTEA (UniversitÃ© Grenoble Alpes). It comprises four stations: Lac Blanc (CRYOBSCLIM.CLB.LACBLANC), La Muzelle (CRYOBSCLIM.CLB.LAMUZELLE), Dome (CRYOBSCLIM.CLB.DOME) and Col (CRYOBSCLIM.CLB.COL). This data is complemented by dataset containing information on hourly blowing snow occurrence relying on an empirical method at Col du Lac Blanc (CRYOBSCLIM.CLB.BSO) and continuous hourly meteorological output of the SAFRAN meteorological analysis system (CRYOBSCLIM.CLB.SAFRAN).The Digital Elevation Model of the study area (1,5 kmÂ²) at 1-m resolution is also provided in RGF 93 Lambert 93 coordinates (CRYOBSCLIM.CLB.DEM). The pass orientation and the specific configuration of the surrounding summits make it closely resemble a natural wind tunnel. The northâ€“south direction accounts for 90% of the wind directions. Aeolian snow transport is observed 10% of the time in winter and occurs with concurrent snowfall 37% of the time (Vionnet et al. 2013). The experimental site and related instrumentation are described in details in Guyomarcâ€™h et al. (2018). Available data acquired during winter seasons include wind speed and direction, drifting snow fluxes, snow height, air temperature. Humidity, precipitation, incoming shortwave and longwave radiation from reanalysis are also included. Data have been used to evaluate and develop physical parameterizations of blowing and drifting snow in alpine terrain. Snowpack models and atmospheric models simulating wind-induced snow transport have also been evaluated at this site. Finally, Col du Lac Blanc is a target site to evaluate Numerical Weather Prediction (NWP) models in alpine terrain. Cryobs-Clim-CLB is a Cryonet site of Global Cryosphere Watch (WMO), a member of the International Network for Alpine Research Catchment Hydrology (INARCH) and a part of OZCAR Infrastructure.",mds,True,findable,0,0,1,0,0,2018-04-09T10:16:33.000Z,2018-04-09T10:16:34.000Z,inist.osug,jbru,"Alpine climate,Meteorology,Blowing snow,Snowpack","[{'subject': 'Alpine climate', 'subjectScheme': 'main'}, {'subject': 'Meteorology', 'subjectScheme': 'var'}, {'subject': 'Blowing snow', 'subjectScheme': 'var'}, {'subject': 'Snowpack', 'subjectScheme': 'var'}]",,['CSV']
-10.5281/zenodo.4603774,Atomic coordinates of the periodic crystalline ice grain model,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access",This dataset contains the atomic coordinates in the crystallographic interchange format (CIF) of the periodic model of a proton-ordered water icy grain surface as resulted from the geometry optimization at B3LYP-D3/A-VTZ * level with the CRYSTAL17 computer code. The crystallographic unit cell has the c-axis arbitrary defined to be 30 Ã… to simulate the void upper/lower the icy surface.,mds,True,findable,0,0,0,0,0,2021-03-14T17:57:10.000Z,2021-03-14T17:57:11.000Z,cern.zenodo,cern,"Crystalline ice,CRYSTAL17,B3LYP-D3","[{'subject': 'Crystalline ice'}, {'subject': 'CRYSTAL17'}, {'subject': 'B3LYP-D3'}]",,
-10.26302/sshade/experiment_gs_20170713_003,Ag K edge XAS transmission of Ag2CO3,SSHADE/FAME (OSUG Data Center),2018,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2019-12-05T13:51:19.000Z,2019-12-05T13:51:19.000Z,inist.sshade,mgeg,"solid,commercial,non-oxide ceramic,BN powder,carbonate,AgCl,laboratory measurement,transmission,None,hard X","[{'subject': 'solid'}, {'subject': 'commercial'}, {'subject': 'non-oxide ceramic'}, {'subject': 'BN powder'}, {'subject': 'carbonate'}, {'subject': 'AgCl'}, {'subject': 'laboratory measurement'}, {'subject': 'transmission'}, {'subject': 'None'}, {'subject': 'hard X'}]",['1 spectrum'],['ASCII']
-10.5281/zenodo.8143305,ASCII files of f_abc coefficients for Li to Si (Z=3-14) GCR species,Zenodo,2023,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","Full ASCII tables of f_abc coefficients, ranking the most important reactions for the production of for Li to Si GCR species (one file per GCR element). These coefficients are defined and these files are used in the paper ""Current status and desired accuracy of the isotopic production cross-sections relevant to astrophysics of cosmic rays - II. Fluorine to Silicon (and updated LiBeB)"".",mds,True,findable,0,0,0,0,0,2023-07-13T12:07:35.000Z,2023-07-13T12:07:35.000Z,cern.zenodo,cern,"Astroparticle physics,Nuclear physics,Nuclear production cross-sections,Galactic cosmic-ray physics","[{'subject': 'Astroparticle physics'}, {'subject': 'Nuclear physics'}, {'subject': 'Nuclear production cross-sections'}, {'subject': 'Galactic cosmic-ray physics'}]",,
-10.17178/ohmcv.dsd.pvi.11-14.1,"DSD network, Pradel-Vignes",CNRS - OSUG - OREME,2009,en,Dataset,"Data access and use are ruled by the OHMCV data policy.,The following acknowledging sentence should appear in publications using OHMCV data and products: ""OHMCV is funded by the Institut National des Sciences de lâ€™Univers (INSU/CNRS) and the Observatoire des Sciences de lâ€™Univers de Grenoble (OSUG / UniversitÃ© Grenoble Alpes)â€.",This dataset is part of the Cevennesâ€Vivarais Mediterranean Hydrometeorological Observatory (OHMCV),mds,True,findable,0,0,1,1,0,2017-03-10T17:09:20.000Z,2017-03-10T17:09:21.000Z,inist.osug,jbru,"Atmospheric conditions,Precipitation Rate,Droplet Size,DISDROMETERS,Ground networks,Hydrometeorological sites,Fixed Observation Stations","[{'subject': 'Atmospheric conditions', 'subjectScheme': 'main'}, {'subject': 'Precipitation Rate', 'subjectScheme': 'main'}, {'subject': 'Droplet Size', 'subjectScheme': 'main'}, {'subject': 'DISDROMETERS', 'subjectScheme': 'main'}, {'subject': 'Ground networks', 'subjectScheme': 'main'}, {'subject': 'Hydrometeorological sites', 'subjectScheme': 'main'}, {'subject': 'Fixed Observation Stations', 'subjectScheme': 'main'}]",,['NETCDF']
-10.5281/zenodo.5237575,French DBnary archive in original Lemon format,Zenodo,2021,fr,Dataset,"Creative Commons Attribution Share Alike 4.0 International,Open Access","The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from French language edition, ranging from 27th August 2012 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.<br>",mds,True,findable,0,0,0,0,0,2021-08-24T07:05:18.000Z,2021-08-24T07:05:19.000Z,cern.zenodo,cern,"Wiktionary,Lemon,Lexical Data,RDF","[{'subject': 'Wiktionary'}, {'subject': 'Lemon'}, {'subject': 'Lexical Data'}, {'subject': 'RDF'}]",,
-10.6084/m9.figshare.c.6583718,TRansfusion strategies in Acute brain INjured patients (TRAIN): a prospective multicenter randomized interventional trial protocol,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Although blood transfusions can be lifesaving in severe hemorrhage, they can also have potential complications. As anemia has also been associated with poor outcomes in critically ill patients, determining an optimal transfusion trigger is a real challenge for clinicians. This is even more important in patients with acute brain injury who were not specifically evaluated in previous large randomized clinical trials. Neurological patients may be particularly sensitive to anemic brain hypoxia because of the exhausted cerebrovascular reserve, which adjusts cerebral blood flow to tissue oxygen demand. Methods We described herein the methodology of a prospective, multicenter, randomized, pragmatic trial comparing two different strategies for red blood cell transfusion in patients with acute brain injury: a â€œliberalâ€ strategy in which the aim is to maintain hemoglobin (Hb) concentrations greater than 9 g/dL and a â€œrestrictiveâ€ approach in which the aim is to maintain Hb concentrations greater than 7 g/dL. The target population is patients suffering from traumatic brain injury (TBI), subarachnoid hemorrhage (SAH), or intracerebral hemorrhage (ICH). The primary outcome is the unfavorable neurological outcome, evaluated using the extended Glasgow Outcome Scale (eGOS) of 1â€“5 at 180 days after the initial injury. Secondary outcomes include, among others, 28-day survival, intensive care unit (ICU) and hospital lengths of stay, the occurrence of extra-cerebral organ dysfunction/failure, and the development of any infection or thromboembolic events. The estimated sample size is 794 patients to demonstrate a reduction in the primary outcome from 50 to 39% between groups (397 patients in each arm). The study was initiated in 2016 in several ICUs and will be completed in December 2022. Discussion This trial will assess the impact of a liberal versus conservative strategy of blood transfusion in a large cohort of critically ill patients with a primary acute brain injury. The results of this trial will help to improve blood product and transfusion use in this specific patient population and will provide additional data in some subgroups of patients at high risk of brain ischemia, such as those with intracranial hypertension or cerebral vasospasm. Trial registration ClinicalTrials.gov NCT02968654.",mds,True,findable,0,0,0,0,0,2023-04-13T11:34:57.000Z,2023-04-13T11:34:57.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,69999 Biological Sciences not elsewhere classified,FOS: Biological sciences,Cancer,110309 Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '69999 Biological Sciences not elsewhere classified', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': '110309 Infectious Diseases', 'schemeUri': 'http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E', 'subjectScheme': 'FOR'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.6084/m9.figshare.c.6910186,Cefoxitin versus carbapenems as definitive treatment for extended-spectrum Î²-lactamase-producing Klebsiella pneumoniae bacteremia in intensive care unit: a propensity-matched retrospective analysis,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Despite cefoxitin's in vitro resistance to hydrolysis by extended-spectrum beta-lactamases (ESBL), treatment of ESBL-producing Klebsiella pneumoniae (KP) infections with cefoxitin remains controversial. The aim of our study was to compare the clinical efficacy of cefoxitin as definitive antibiotic therapy for patients with ESBL-KP bacteremia in intensive care unit, versus carbapenem therapy. Methods This retrospective study included all patients with monomicrobial bacteremia hospitalized in intensive care unit between January 2013 and January 2023 at the University Hospital of Guadeloupe. The primary outcome was the 30-day clinical success defined as a composite endpoint: 30-day survival, absence of relapse and no change of antibiotic therapy. Cox regression including a propensity score (PS) and PS-based matched analysis were performed for endpoint analysis. Results A total of 110 patients with bloodstream infections were enrolled. Sixty-three patients (57%) received definitive antibiotic therapy with cefoxitin, while forty-seven (43%) were treated with carbapenems. 30-day clinical success was not significantly different between patients treated with cefoxitin (57%) and carbapenems (53%, p = 0.823). PS-adjusted and PS-matched analysis confirmed these findings. Change of definitive antibiotic therapy was more frequent in the cefoxitin group (17% vs. 0%, p = 0.002). No significant differences were observed for the other secondary endpoints. The acquisition of carbapenem-resistant Pseudomonas aeruginosa was significantly higher in patients receiving carbapenem therapy (5% vs. 23%, p = 0.007). Conclusions Our results suggest that cefoxitin as definitive antibiotic therapy could be a therapeutic option for some ESBL-KP bacteremia, sparing carbapenems and reducing the selection of carbapenem-resistant Pseudomonas aeruginosa strains.",mds,True,findable,0,0,0,0,0,2023-11-02T05:00:07.000Z,2023-11-02T05:00:08.000Z,figshare.ars,otjm,"Space Science,Medicine,Microbiology,FOS: Biological sciences,Cancer,Infectious Diseases,FOS: Health sciences","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5281/zenodo.4888804,"Code repository for 'Jarzynski equality and Crooks relation for local models of air-sea interaction', a ESD paper",Zenodo,2021,,Software,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the publicly-redistributable code used in the production of ``Jarzynski equality and Crooks relation for local models of air-sea interaction'' a paper by A. Wirth, and F. LemariÃ© published in Earth System Dynamics. The fortran code corresponds to the 1D2C model described in section 2.1 of the paper",mds,True,findable,0,0,0,0,0,2021-06-01T07:07:15.000Z,2021-06-01T07:07:16.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.6592858,Critically ill severe hypothyroidism: a retrospective multicenter cohort study,figshare,2023,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Severe hypothyroidism (SH) is a rare but life-threatening endocrine emergency. Only a few data are available on its management and outcomes of the most severe forms requiring ICU admission. We aimed to describe the clinical manifestations, management, and in-ICU and 6-month survival rates of these patients. Methods We conducted a retrospective, multicenter study over 18 years in 32 French ICUs. The local medical records of patients from each participating ICU were screened using the International Classification of Disease 10th revision. Inclusion criteria were the presence of biological hypothyroidism associated with at least one cardinal sign among alteration of consciousness, hypothermia and circulatory failure, and at least one SH-related organ failure. Results Eighty-two patients were included in the study. Thyroiditis and thyroidectomy represented the main SH etiologies (29% and 19%, respectively), while hypothyroidism was unknown in 44 patients (54%) before ICU admission. The most frequent SH triggers were levothyroxine discontinuation (28%), sepsis (15%), and amiodarone-related hypothyroidism (11%). Clinical presentations included hypothermia (66%), hemodynamic failure (57%), and coma (52%). In-ICU and 6-month mortality rates were 26% and 39%, respectively. Multivariable analyses retained age &gt; 70 years [odds ratio OR 6.01 (1.75â€“24.1)] Sequential Organ-Failure Assessment score cardiovascular component â‰¥ 2 [OR 11.1 (2.47â€“84.2)] and ventilation component â‰¥ 2 [OR 4.52 (1.27â€“18.6)] as being independently associated with in-ICU mortality. Conclusions SH is a rare life-threatening emergency with various clinical presentations. Hemodynamic and respiratory failures are strongly associated with worse outcomes. The very high mortality prompts early diagnosis and rapid levothyroxine administration with close cardiac and hemodynamic monitoring.",mds,True,findable,0,0,0,0,0,2023-04-13T14:55:41.000Z,2023-04-13T14:55:41.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Pharmacology,Immunology,FOS: Clinical medicine,Cancer","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Pharmacology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}]",,
-10.5281/zenodo.10679304,Dataset acquired during the drainage of Bossons lake in summer 2023,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"All given time are UTC.Â 
-
-This dataset contains:
-
-
-
-Surverse_long_Zlac_15MN.csvÂ : lac level from piezometer since 1st june 2023 every 15 mn,Â 
-
-Bosson_2023_Halfh.dat : data from piezometers P2 et P3 and thermistances T1 to T6,
-
-data_Tw_chenal_entrance.csv : water temperature at the entrance of chanel,Â 
-
-GPS_LacLevel.csvÂ : GNSS measurements of lac elevation,
-
-elevation_chenal_entrance.csv : GNSS mesurements of the altitude of the chanel entrance,
-
-chenal_Bossons_date.csv : GNNS measurements of the chanel ice bottom at different dates (31 July 13h30 et 16h50, 1st August 12h30 and 14h30, 2 August 9h00 et 11h50 et 8 August 2023 12h00)
-
-section_chenal_date.csv : measurements of the ice chanel transverse section the 1st August at 8h30 and 13h,
-
-discharge_icechenal.csv : measurements of water discharge in the ice chanel the 31st July, 1st and 2nd August 2023,
-
-discharge_crosette_2023.csv : measurements of water discharge in the Crosette stream the 1st June and 5 July 2023,
-
-Hypsometry_2023-06-26.dat : hypsometry from the bathymetry of 26 June 2023,
-
-PureEmpirical_SeismicReconstructedDischarge.csv : water discharge entering the lake from the pure empirical method using sismic data,
-
-SemiEmpirical_SeismicReconstructedDischarge.csv :Â water discharge entering the lake from the semi-empirical method using sismic data,
-
-model_output_surverse_10MN.csvÂ : output from the model for the reference simulation.Â ",api,True,findable,0,0,0,0,0,2024-02-19T13:30:04.000Z,2024-02-19T13:30:04.000Z,cern.zenodo,cern,,,,
-10.18709/perscido.2019.07.ds249,Timeseries of surface elevation maps at Dome C measured by time lapse laserscanning,PerSciDo,2019,,Dataset,,"The surface was scanned at Dome C almost daily for nearly 3 years using the Rugged Laserscan (RLS) developped by L. Arnaud and G. Picard (IGE). The dataset contains maps of surface elevation (DEM) with a resolution of 5 cm over an area of about 150m2. Maps are available at best daily, when enough valid data were acquired. The RLS and the data are described in G. Picard, L. Arnaud, R. Caneil, E. Lefebvre, M. Lamare, Observation of the process of snow accumulation on the Antarctic Plateau by time lapse laserscanning, The Cryosphere, doi:10.5194/tc-2019-4",fabrica,True,findable,0,0,0,0,0,2019-07-02T16:46:31.000Z,2019-07-02T16:46:32.000Z,inist.persyval,vcob,"Environmental Science and Ecology,Glaciology","[{'lang': 'en', 'subject': 'Environmental Science and Ecology'}, {'lang': 'en', 'subject': 'Glaciology'}]",,
-10.6084/m9.figshare.12291716,Additional file 4 of Association of helicopter transportation and improved mortality for patients with major trauma in the northern French Alps trauma system: an observational study based on the TRENAU registry,figshare,2020,,Text,Creative Commons Attribution 4.0 International,Additional file 4. Prehospital times according to transportation mode including multiple imputation and complete case analysis as sensitivity analysis.,mds,True,findable,0,0,16,0,0,2020-05-13T03:42:09.000Z,2020-05-13T03:42:13.000Z,figshare.ars,otjm,"Medicine,Environmental Sciences not elsewhere classified,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Cancer,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['15146 Bytes'],
-10.5281/zenodo.3817443,"Search Queries for ""Mapping Research Output to the Sustainable Development Goals (SDGs)"" v4.0",Zenodo,2019,,Software,"Creative Commons Attribution 4.0 International,Open Access","<strong>This package contains machine readable (xml) search queries, for the Scopus publication database, to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs).</strong> Sustainable Development Goals are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This Aurora SDG dashboard is the initial outcome as <em>proof of practice</em>.) The initiative started from the Aurora Universities Network in 2017, in the working group ""Societal Impact and Relevance of Research"", to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO's). The classification model we have used are 17 different search queries on the Scopus database. The search queries are elegant constructions with keyword combinations and boolean operators, in the syntax specific to the Scopus Query Language. We have used Scopus because it covers more research area's that are relevant to the SDG's, and we could filter much easier the Aurora Institutions. <strong>Versions</strong> Different versions of the search queries have been made over the past years to improve the precision (soundness) and recall (completeness) of the results. The queries have been made in a team effort by several bibliometric experts from the Aurora Universities. Each one did two or 3 SDG's, and than reviewed each other's work. v1.0 January 2018<em> Initial 'strict' version.</em> In this version only the terms were used that appear in the SDG policy text of the targets and indicators defined by the UN. At this point we have been aware of the SDSN Compiled list of keywords, and used them as inspiration. Rule of thumb was to use <em>keyword-combination searches</em> as much as possible rather than <em>single-keyword searches</em>, to be more precise rather than to yield large amounts of false positive papers. Also we did not use the inverse or 'NOT' operator, to prevent removing true positives from the result set. This version has not been reviewed by peers. Download from: GitHub / Zenodo v2.0 March 2018<em> Reviewed 'strict' version.</em> Same as version 1, but now reviewed by peers. Download from: GitHub / Zenodo v3.0 May 2019 <em>'echo chamber' version.</em> We noticed that using strictly the terms that policy makers of the UN use in the targets and indicators, that much of the research that did not use that specific terms was left out in the result set. (eg. ""mortality"" vs ""deaths"") To increase the recall, without reducing precision of the papers in the results, we added keywords that were obvious synonyms and antonyms to the existing 'strict' keywords. This was done based on the keywords that appeared in papers in the result set of version 2. This creates an 'echo chamber', that results in more of the same papers. Download from: GitHub / Zenodo v4.0 August 2019<em> uniform 'split' version.</em> Over the course of the years, the UN changed and added Targets and indicators. In order to keep track of if we missed a target, we have split the queries to match the targets within the goals. This gives much more control in maintenance of the queries. Also in this version the use of brackets, quotation marks, etc. has been made uniform, so it also works with API's, and not only with GUI's. His version has been used to evaluate using a survey, to get baseline measurements for the precision and recall. Published here: Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. Download from: GitHub / Zenodo v5.0 June 2020 <em>'improved' version.</em> In order to better reflect academic representation of research output that relate to the SDG's, we have added more keyword combinations to the queries to increase the recall, to yield more research papers related to the SDG's, using academic terminology. We mainly used the input from the Survey data of ""Mapping Research output to the SDGs"" by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385. We ran several text analyses: Frequent term combination in title and abstracts from Suggested papers, and in selected (accepted) papers, suggested journals, etc. Secondly we got inspiration out of the Elsevier SDG queries Jayabalasingham, Bamini; Boverhof, Roy; Agnew, Kevin; Klein, Lisette (2019), â€œIdentifying research supporting the United Nations Sustainable Development Goalsâ€, Mendeley Data, v1 https://dx.doi.org/10.17632/87txkw7khs.1. Download from: GitHub / Zenodo <strong>Contribute and improve the SDG Search Queries</strong> We welcome you to join the Github community and to fork, improve and make a pull request to add your improvements to the new version of the SDG queries. <strong>https://github.com/Aurora-Network-Global/sdg-queries</strong>",mds,True,findable,15,0,3,2,0,2020-05-14T15:27:11.000Z,2020-05-14T15:27:12.000Z,cern.zenodo,cern,"Sustainable Development Goals,SDG,Classification model,Search Queries,SCOPUS,Text indexing,Controlled vocabulary","[{'subject': 'Sustainable Development Goals'}, {'subject': 'SDG'}, {'subject': 'Classification model'}, {'subject': 'Search Queries'}, {'subject': 'SCOPUS'}, {'subject': 'Text indexing'}, {'subject': 'Controlled vocabulary'}]",,
-10.6084/m9.figshare.23822166,Dataset key for the replication experiment from Mirror exposure following visual body-size adaptation does not affect own body image,The Royal Society,2023,,Dataset,Creative Commons Attribution 4.0 International,Key for the dataset for the replication experiment,mds,True,findable,0,0,0,0,0,2023-08-02T11:18:29.000Z,2023-08-02T11:18:30.000Z,figshare.ars,otjm,"Cognitive Science not elsewhere classified,Psychology and Cognitive Sciences not elsewhere classified","[{'subject': 'Cognitive Science not elsewhere classified'}, {'subject': 'Psychology and Cognitive Sciences not elsewhere classified'}]",['1002 Bytes'],
-10.26302/sshade/experiment_rc_20200618_000,"VIS reflectance spectra collected during electron irradiation experiments of salty fine-grained ice particles (spherical, 5 Âµm average diameter) prepared by freezing solutions of NaCl with different concentrations.",SSHADE/BYPASS (OSUG Data Center),2023,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Spherical salty ice particles are produced by spraying droplets of NaCl solutions into liquid nitrogen with the SPIPA-A setup and 9mm-thick samples are produced from this material. The samples are then introduced into the MEFISTO chamber, placed on a liquid nitrogen cooling plate, and the chamber is evacuated to high vacuum. The samples can then be bombarded with energetic electrons at different energies and fluxes and VIS hyperspectral images are collected.",mds,True,findable,0,0,0,0,0,2023-07-31T13:28:50.000Z,2023-07-31T13:28:50.000Z,inist.sshade,mgeg,"laboratory measurement,biconical reflection,imaging,Vis,Visible,reflectance factor,water ice,NaCl hydrate,laboratory,inorganic molecular solid,chloride","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'imaging', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'water ice', 'subjectScheme': 'name'}, {'subject': 'NaCl hydrate', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'inorganic molecular solid', 'subjectScheme': 'compound type'}, {'subject': 'chloride', 'subjectScheme': 'compound type'}]",['14 spectra'],['ASCII']
-10.5281/zenodo.10165854,Thickness map of the Patagonian Icefields,Zenodo,2023,en,Dataset,Creative Commons Attribution 4.0 International,"Ice thickness field for the Patagonian icefields relying on mass-conservation approach, which assimilates both glacier retreat data as well as an abundant record of direct thickness measurements. The thickness map has a time stamp of 2000. This map is provided together with error estimates and the basal topography beneath the icefields based on c-SRTM (v2.1) (Farr, T. et al. The Shuttle Radar Topography Mission. Reviews of Geophysics 45 (2007), http://dx.doi.org/10.1029/2005RG000183.)",api,True,findable,0,0,0,0,0,2023-11-21T10:31:14.000Z,2023-11-21T10:31:14.000Z,cern.zenodo,cern,"Patagonia,glacier,icefield,thickness","[{'subject': 'Patagonia'}, {'subject': 'glacier'}, {'subject': 'icefield'}, {'subject': 'thickness'}]",,
-10.6084/m9.figshare.25282850,Additional file 1 of â€œCooperation between physicians and physios fosters trust you knowâ€: a qualitative study exploring patientsâ€™ experience with first-contact physiotherapy for low back pain in French primary care,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Materials 1.,mds,True,findable,0,0,40,0,0,2024-02-24T04:40:42.000Z,2024-02-24T04:40:42.000Z,figshare.ars,otjm,"Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['14659 Bytes'],
-10.5281/zenodo.4288857,din14970/TVIPSconverter: tvipsconverter v0.1.3,Zenodo,2020,,Software,Open Access,"GUI converter for 4D-STEM or PED data from TVIPS cameras into .blo files, tiffs, or .hspy files.",mds,True,findable,0,0,0,0,0,2020-11-24T14:48:06.000Z,2020-11-24T14:48:07.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.7089974,â€œCooperation between physicians and physios fosters trust you knowâ€: a qualitative study exploring patientsâ€™ experience with first-contact physiotherapy for low back pain in French primary care,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Physiotherapists working in collaboration with family physicians in French multidisciplinary primary healthcare clinics are now able to manage acute low back pain patients as first-contact practitioners in advanced practice roles. This includes medical act delegation such as making a medical diagnosis and prescribing medication. The aim of this study is to explore patientsâ€™ experience and perceptions when attending a first-contact physiotherapist (FCP) in an advanced practice collaborative primary care model for acute low back pain (LBP). Methods A qualitative study using semi-structured interviews was conducted. Patients that consulted a FCP for acute LBP care in new collaborative model were included. Interviews were transcribed verbatim and inductive thematic analysis was performed to generate themes related to patientsâ€™ experience and perceptions. Results Ten patients were interviewed (3 women, 7 men; mean age 36.5â€‰Â±â€‰9.63Â years). All LBP participants experienced important level of pain and disability. Four overarching themes related to patientsâ€™ experience with the new FCP model were formalized: 1) â€œGoing to see a physiotherapist who specializes in painful movements, well that makes sense to meâ€, 2) â€œPhysiotherapist offered to give me exercises to do at home to relieve the back painâ€, 3) â€œI went there feeling confidentâ€, 4) â€œThe physiotherapist can do more than just send you to see more appropriate peopleâ€. Participants highlighted the need to receive timely and high-quality care and were receptive with being autonomously managed by a FCP. Overall, patientsâ€™ experiences with FCP model of care were positive. Participants were highly confident in the FCPâ€™s ability to perform delegated medical tasks including making a medical diagnosis and prescribing oral medication such as analgesic drugs. Patients felt that a greater expansion of FCPsâ€™ scope of practice was needed to improve the model. Conclusion Findings from this study can inform the implementation of FCP in countries where patients are not typically granted FCP by underlining that patients are favourable towards the advance practice model as such models support timely and high-quality care. Further research is needed to better determine the future advance practice physiotherapistsâ€™ scope of practice in French primary and secondary care settings.",mds,True,findable,0,0,0,0,0,2024-02-24T04:40:43.000Z,2024-02-24T04:40:44.000Z,figshare.ars,otjm,"Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",,
-10.6084/m9.figshare.25284801,Additional file 1 of Intra-breath changes in respiratory mechanics are sensitive to history of respiratory illness in preschool children: the SEPAGES cohort,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 1,mds,True,findable,0,0,0,0,0,2024-02-25T04:40:03.000Z,2024-02-25T04:40:04.000Z,figshare.ars,otjm,"Medicine,Genetics,FOS: Biological sciences,Sociology,FOS: Sociology,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['58940 Bytes'],
-10.5281/zenodo.4029598,"Supplementary material for ""Port-Hamiltonian modeling, discretization and feedback control of a circular water tank""",Zenodo,2020,,Software,Open Access,"This archive presents the source codes and numerical results of our paper ""Port-Hamiltonian modeling, discretization and feedback control of a circular water tank"", presented at the 2019 IEEE 58th Conference on Decision and Control (CDC), in Lyon, France. The paper is available here. https://github.com/flavioluiz/Circular-Tank-PFEM-CDC-supplementary-material The following codes are provided: <code>codes/Saint_Venant1D.py</code>: reduced model of the circular tank, considering radial symmetry (Figures 1 and 2 of the paper) <code>codes/Saint_Venant2D.py</code>: nonlinear 2D model with feedback control (Figures 3 and 4 of the paper) <code>codes/AnimateSurf.py</code>: auxiliary file used to obtain the animation. A GitHub with the codes is available here. <strong>How to install and run the code?</strong> The numerical FEM model is obtained thanks to FEniCS. Firstly, you need to install it. We suggest installing it from Anaconda, as described here (check the part FEniCS on Anaconda). Once installed, you need to activate the FEniCs environment: <pre>your@user:~$ conda activate fenicsproject</pre> Then, you just need to run the Python script on the environment: <pre>(fenicsproject) your@user:~$ python Saint_Venant2D.py</pre> The scripts were tested using Python 3.7, and FEniCS 2018.1.0. <strong>Acknowledgements</strong> This work has been performed in the frame of the Collaborative Research DFG and ANR project INFIDHEM, entitled ""Interconnected of Infinite-Dimensional systems for Heterogeneous Media"", nÂº ANR-16-CE92-0028. Further information is available here.",mds,True,findable,0,0,0,0,0,2020-09-14T23:14:43.000Z,2020-09-14T23:14:43.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7732341,pyxem/orix: orix 0.11.1,Zenodo,2023,,Software,Open Access,"orix 0.11.1 is a patch release of orix, an open-source Python library for handling orientations, rotations and crystal symmetry. See below, the changelog or the GitHub changelog for all updates from the previous release. Fixed Initialization of a crystal map with a phase list with fewer phases than in the phase ID array given returns a map with a new phase list with correct phase IDs.",mds,True,findable,0,0,0,0,0,2023-03-14T09:12:02.000Z,2023-03-14T09:12:02.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4302006,"Supplementary material for ""A Partitioned Finite Element Method for power-preserving discretization of open systems of conservation laws""",Zenodo,2020,,Dataset,Open Access,"This archive contains supplementary material for the paper ""A Partitioned Finite Element Method for power-preserving discretization of open systems of conservation laws"", containing the source codes for the numerial results presented in the paper. An arXiv pre-print version of the paper is available here. The following codes are provided: <code>codes/simulation1D_small.jl</code>: small amplitudes (linear) 1D simulation <code>codes/simulation1D_large.jl</code>: large amplitudes (nonlinear) 1D simulation <code>codes/simulation1D_analytical_gradient</code>: large amplitudes 1D simulation, but using an analytical nonlinear Hamiltonian gradient expression <code>codes/simulation2D.jl</code>: large amplitudes (nonlinear) 2D simulation <code>codes/convergence1D.jl</code>: convergence analysis of the 1D linear case <code>codes/convergence2D.m</code>: convergence analysis of the 2D linear case A GitHub with the codes and a few instructions on usage is available here. <strong>Acknowledgements</strong> This work has been performed in the frame of the Collaborative Research DFG and ANR project INFIDHEM, entitled ""Interconnected of Infinite-Dimensional systems for Heterogeneous Media"", nÂº ANR-16-CE92-0028. Further information is available here.",mds,True,findable,0,0,1,0,0,2020-12-02T11:54:54.000Z,2020-12-02T11:54:56.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.35230,trunk 1.12.0,Zenodo,2015,,Software,Open Access,git-repository for Yade project,mds,True,findable,0,0,1,0,0,2015-12-11T12:32:15.000Z,2015-12-11T12:32:16.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8025653,Accelerated exploration of multinary systems,Zenodo,2022,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","This repository contains the datasets produced from the characterizations of the quinary Nb-Ti-Zr-Cr-Mo, and predictions made by Machine Learning models. <strong>Experimental work</strong> Gradients of composition were characterized by: EDX for composition evaluation, with an error of 1% on atomic and mass composition nanoindentation for the measurement of the elastic modulus (E) and hardness (H) EBSD : from each map we extract the Confidence Index CI and Image Quality IQ that are indicator of crystallinity. CI is also used to define phase classes (0 for amorphous, 1 for crystalline) XRD: from each diffractogram we extract a phase class (0 for amorphous, 1 for crystalline): raw data are available in XRD.zip Different datasets are built: Raw_data associate to each composition the EBSD CI, IQ, EBSD phase class, and the elastic modulus (E) and hardness (H) computed by the software TestWork Analysis without any correction. For each composition, 5 measurement replications were performed. Raw_data_corrected contains the EBSD CI, IQ, EBSD phase class, and the 5 replications per compositions of E and H corrected through Oliver and Pharr model. Compo_E_H_threshold correspond to Raw_data_corrected in which we have thresholded values of E and H. We removed all composition such that E &lt; 10 GPa and all H &lt; 2 GPa, as they correspond to nanoindentation test failures. Compo_E_wo_outliers and Compo_H_wo_outliers: Dixon test allows to identify outliers on E replications and H replications, that are removed to give each dataset. Each composition is associated to replications of E or H that were not identified as outliers. Averaged_data: each composition is associated to EBSD CI, IQ, EBSD phase class, and with average values of E and H replications without outliers. Data_averaged_mechanical_model: add to previous data the other mechanical properties computed with Galanov model from E and H experimental results: relative characteristic size of the elastic-plastic zone under the indenter \(x = \frac{b_s}{c}\), the constrain factor \(C\) â€“ linking yield strength and hardness â€“ and the ductility characteristic \(\delta_H\) â€“ ratio of plastic deformation and total deformation. It also contains \(\frac{EÂ²}{H}\). Database_XRD: each composition is associated to phase class defined from XRD diffractograms The dataset_initial.zipl contains the experimental results with an initial 20-gradients sets which screen preferably the center of Nb-Ti-Zr-Cr-Mo. It contains all the kind of datasets. The dataset_adding_binaries.zip contains the experimental results for the initial 20-gradients + additional binary gradients Nb-Ti binary 1), Nb-Cr (binary 2) and Cr-Mo (binary 3). It contains the data without outliers, averaged data and XRD database. <strong>Predictions of Machine Learning Models from experimental datasets</strong> Machine Learning models are trained to predict properties from compositions: Random Forest (RF), Support Vector Machine (SVM) and Neural Network (NN) models. Model assessment (i.e. choosing best hyper-parameters for each model) was performed on Compo_E_wo_outliers for E prediction, Compo_H_wo_outliers for H prediction, and on Averaged_data and Database_XRD for phase prediction. Results of model trainings are given in ModelAssessment.tar.gz. The best model of RF, NN and SVM are trained on all datasets: results are given in Train_model_xx.tar.gz. Training the same model with datasets with more or less outliers for E and H predictions allows to see the effect of outliers on the results. The best models of RF and NN are then trained adding iteratively the binaries: results are in tarball Train_model_xx_adding_binaries.tar.gz <strong><em>These tarball are to be used with PyTerK modules available here. </em></strong> The models then predict, for all atomic compositions of Nb-Ti-Zr-Cr-Mo, with 2%at steps, the associated properties: predictions_XX contain atomic compositions associated to predicted CI, IQ, EBSD phase class, XRD phase class, E, H, for each kind of model. Predictions_XX_mechanical_model contain the same data with other mechanical properties computed with Galanov model from E and H predictions: relative characteristic size of the elastic-plastic zone under the indenter \(x = \frac{b_s}{c}\), the constrain factor \(C\) â€“ linking yield strength and hardness â€“ and the ductility characteristic \(\delta_H\) â€“ ratio of plastic deformation and total deformation. It also contains \(\frac{EÂ²}{H}\). The prediction_initial.zip contains the predictions made for all the model families with initial datasets. The predictions_adding_binaries.zip the predictions made with the best model (determined with the initial dataset) trained with the initial dataset+ binaries",mds,True,findable,0,0,0,0,0,2023-07-02T19:43:27.000Z,2023-07-02T19:43:27.000Z,cern.zenodo,cern,"High Entropy Alloys,Combinatorial,Mixture Design,Multinary,Machine Learning","[{'subject': 'High Entropy Alloys'}, {'subject': 'Combinatorial'}, {'subject': 'Mixture Design'}, {'subject': 'Multinary'}, {'subject': 'Machine Learning'}]",,
-10.5281/zenodo.1443459,Parrot,Zenodo,2018,en,Dataset,"Creative Commons Attribution 4.0,Open Access","The netCDF files ""SF*.nc"" that can be found in the repository ""Parrot_experiment"" contain the experimental results of intense sediment transport experiments (sheet flow) carried out in the LEGI tilting flume with two sizes of uniformly distributed acrylic particles having median diameters of 1 mm (S1 experiment) and 3 mm (S3 experiment). The data contained in this repository are presented in Fromant et al. (2018). The files contain :
-
-    1/ Synchronised and colocated concentration and veclocity (streamwise component) profiles measurements collected with an Acoustic Concentration and Velocity Profiler (ACVP - Hurther et al., 2011).  <br>
-    2/ Concentration profiles time series collected with Conductivity and Concentration Profilers (Lanckriet et al., 2013), with two different vertical resolutions, 1 mm (CCP1mm) and 2mm (CCP2mm).
-
-Details about the experimental protocol can be found in Revil-Baudard et al. (2015). More details regarding the experimental protocol and flow conditions can be found in Fromant et al. (2018).",mds,True,findable,0,0,0,0,0,2018-10-03T15:42:14.000Z,2018-10-03T15:42:15.000Z,cern.zenodo,cern,"Sediment Transport,Sheet-flow,Concentration measurement,ACVP,CCP","[{'subject': 'Sediment Transport'}, {'subject': 'Sheet-flow'}, {'subject': 'Concentration measurement'}, {'subject': 'ACVP'}, {'subject': 'CCP'}]",,
-10.5281/zenodo.7978514,Danaroth83/irca: v1.1,Zenodo,2023,,Software,Open Access,Added wavelength axis to spectra and transmittance responses.,mds,True,findable,0,0,0,0,0,2023-05-28T06:40:25.000Z,2023-05-28T06:40:26.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.13525202,Additional file 2 of Factors associated with survival of patients with solid Cancer alive after intensive care unit discharge between 2005 and 2013,figshare,2021,,Text,Creative Commons Attribution 4.0 International,Additional file 2: Supplementary TableÂ 1. Patient Characteristics According To Previous Chemotherapy,mds,True,findable,0,0,32,1,0,2021-01-06T04:36:04.000Z,2021-01-06T04:36:05.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Biotechnology,Chemical Sciences not elsewhere classified,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['14404 Bytes'],
-10.5281/zenodo.7331741,OPEN-NEXT/wp2.2_dev: D2.5 dashboard backend with support for Wikifactory and GitHub,Zenodo,2022,,Software,Open Access,This release contains the Open!Next M36 D2.5 dashboard <strong><em>backend</em></strong> code that can retrieve metadata from repositories hosted on GitHub and Wikifactory. The sample implementation of the <em>frontend</em> is now in this repository. Please read <code>README.md</code> in this repository and the D2.5 report for more information. The only change in this version is an update to the link to the demo instance of the API.,mds,True,findable,0,0,0,0,0,2022-11-17T17:46:01.000Z,2022-11-17T17:46:01.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10695199,Environmental DNA highlights the influence of salinity and agricultural run-off on coastal fish assemblages in the Great Barrier Reef region,Zenodo,2024,,Other,Creative Commons Attribution 4.0 International,"Agricultural run-off in Australia's Mackay-Whitsunday region is a major source of nutrient and pesticide pollution to coastal and inshore ecosystems of the Great Barrier Reef. While the effects of run-off are well documented for the region's coral and seagrass habitats, the ecological impacts on estuaries, the direct recipients of run-off, are less known. This is particularly true for fish communities, which are shaped by the physico-chemical properties of coastal waterways that vary greatly in tropical regions. To address this knowledge gap, we used environmental DNA (eDNA) metabarcoding to examine fish assemblages at four locations (three estuaries and a harbour) subjected to varying levels of agricultural run-off during a wet and dry season. Pesticide and nutrient concentrations were markedly elevated during the sampled wet season with the influx of freshwater and agricultural run-off. Fish taxa richness significantly decreased in all three estuaries (F = 164.73, P = <0.001), along with pronounced changes in community composition (F = 46.68, P = 0.001) associated with environmental variables (largely salinity: 27.48% contribution to total variance). In contrast, the nearby Mackay Harbour exhibited a far more stable community structure, with no marked changes in fish assemblages observed between the sampled seasons. Among the four sampled locations, variation in fish community composition was more pronounced within the wet season (F = 2.5, P = 0.001). Notably, variation in the wet season was significantly correlated with agricultural contaminants (phosphorus: 6.25%, pesticides: 5.22%) alongside environmental variables (salinity: 5.61%, DOC: 5.57%). Historically contaminated and relatively unimpacted estuaries each demonstrated distinct fish communities, reflecting their associated catchment use. Our findings emphasise that while seasonal effects play a key role in shaping the community structure of fish in this region, agricultural contaminants are also important contributors in estuarine systems.",api,True,findable,0,0,0,0,0,2024-02-23T16:31:30.000Z,2024-02-23T16:31:31.000Z,cern.zenodo,cern,"eDNA,chemical analyses,species matrix","[{'subject': 'eDNA'}, {'subject': 'chemical analyses'}, {'subject': 'species matrix'}]",,
-10.5281/zenodo.290428,"Reproducible Workflow for the ""Tuning Backfilling Queues"" article.",Zenodo,2017,,Software,"ISC License,Open Access","Tuning EASY-Backfilling Queues reproducible build.<br> ================================================== This repository contains the data, code, and workflow<br> necessary to build the ""Tuning EASY Backfilling Queues""<br> paper by Lelong, Reis and Trystram. The workflow is managed using zymake.<br> http://www-personal.umich.edu/~ebreck/code/zymake/ The dependencies are managed via the NIX package manager.<br> https://nixos.org/nix/ Please read the file 'zymakefile' to see the workflow. DEPENDENCIES:<br> =============<br> * NIX: curl https://nixos.org/nix/install | sh<br> * Ocaml packages are not yet managed by NIX.<br> To be installed using OPAM: batteries oasis cmdliner See file default.nix for a list of the dependencies<br> that will be managed by nix. RUNNING:<br> ======== The build is obtained by running the command ""make"" and should<br> take half a dozen days on a recent 200-core machine.<br> This will build the zymake tool under /zymake and<br> the simulator under ocs/. A dry run can be obtained by ""make dummy"". CONTACT:<br> ========<br> We do not provide other documentation for this workflow system.<br> Feel free to contact tuningqueues@valentinreis.com for any inquiry<br> including troubleshooting of reproducing the results. LICENSE:<br> ========<br> All code under ocs/ and misc/ is copyright of Valentin Reis and<br> distributed under the ISC license (see LICENSE.md), except<br> file ocs/src/binary_heap which is copyrighted by Jean-Christophe<br> Fillatre (see file for license).<br> The Zymake workflow system is copyright of Eric Breck(see files<br> for license)<br> The workflows in gz/ obtained via the Parallel Workload Acthive<br> (http://www.cs.huji.ac.il/labs/parallel/workload/) remain<br> property of their respective owners.<br>",mds,True,findable,0,0,0,0,0,2017-02-12T10:08:26.000Z,2017-02-12T10:08:27.000Z,cern.zenodo,cern,Scheduling Backfilling EASY Reproducible Workflow Zymake,[{'subject': 'Scheduling Backfilling EASY Reproducible Workflow Zymake'}],,
-10.5281/zenodo.1475283,SPARK_Stimulo_session_05072017_Grenoble,Zenodo,2018,es,Audiovisual,"Creative Commons Attribution Non Commercial 4.0 International,Open Access","Recording of a collaborative design session between designers and end-users.
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-A design company invites a final consumer to provide feedback on the layout of user interface elements (lights, speakers, buttons) and the aesthetic design (colours, materials and finishes) of an industrial product. The session is conducted using a Spatial Augmented Reality (SAR) application which allows a real-time modification of the design contents. Language: Spanish.",mds,True,findable,0,0,0,0,0,2018-10-30T17:05:42.000Z,2018-10-30T17:05:43.000Z,cern.zenodo,cern,"SPARK,H2020,Collaborative design,Co-design,Spatial Augmented Reality,Augmented Reality,Mixed prototype,ICT,Creativity,Product design","[{'subject': 'SPARK'}, {'subject': 'H2020'}, {'subject': 'Collaborative design'}, {'subject': 'Co-design'}, {'subject': 'Spatial Augmented Reality'}, {'subject': 'Augmented Reality'}, {'subject': 'Mixed prototype'}, {'subject': 'ICT'}, {'subject': 'Creativity'}, {'subject': 'Product design'}]",,
-10.5281/zenodo.2590150,"Snow properties measurements (in situ &amp; retrived from satellite) at Dome C, East Antarctica Plateau",Zenodo,2019,en,Dataset,"Creative Commons Attribution 4.0 International,Open Access","The dataset contains the data inputs for the electromagnetic model:
-
-
-	the snow density profile down to 20 m depth (measured in 2010)
-	the snow SSA profile down to 20 m depth (measured in 2010)
-	the snow temperature profile down to 20 m depth (measured from 1 December 2006 to 4 October 2011)
-
-
-The dataset contains also the data retrieved from satellite:
-
-
-	the retrieved surface snow density from AMSR-E satellite (obtained from 18 June 2002 to 4 October 2011)
-
-
-The dataset contains finally the data measured in situ to compare with the data retrieved from satellite:
-
-
-	the surface snow density from CALVA program (measured from 3 February 2010 to 4 October 2011)
-	the surface snow density from PNRA program measured in snow pits (measured from 18 December 2007 to 4 October 2011)
-	the surface snow density from PNRA program measured next to stakes (measured from 9 May 2008 to 4 October 2011)",mds,True,findable,0,0,0,0,0,2019-03-11T11:13:13.000Z,2019-03-11T11:13:14.000Z,cern.zenodo,cern,Surface snow density ; Profiles of snow properties,[{'subject': 'Surface snow density ; Profiles of snow properties'}],,
-10.5281/zenodo.3819313,Programmers manual FlexGripPlus SASS SM 1.0,Zenodo,2020,,Other,"Creative Commons Attribution 4.0 International,Open Access",This document describes the op-code of the assembly language SASS of the G80 architecture used in the FlexGripPlus model. Every instruction is compatible with the CUDA Programming environment under the SM_1.0,mds,True,findable,0,0,0,0,0,2020-05-10T13:51:41.000Z,2020-05-10T13:51:42.000Z,cern.zenodo,cern,"SASS, GPGPU, G80, FlexGripPlus, Assembly Language","[{'subject': 'SASS, GPGPU, G80, FlexGripPlus, Assembly Language'}]",,
-10.5281/zenodo.7135091,spectralpython/spectral: Spectral Python (SPy) 0.23.1,Zenodo,2022,,Software,Open Access,"SPy 0.23.1 Release date: 2022.10.02 Bug Fixes [#143] Eigen{values,vectors} in a <code>GaussianStats</code> weren't sorted in descending order, which is inconsistent with <code>PrincipalComponents</code>. [#144] <code>SpyFile.load</code> was failing on Windows because numpy versions there did not support complex256. [#145] <code>unmix</code> was failing, due to an invalid reference to ""np.inv""",mds,True,findable,0,0,0,0,0,2022-10-02T16:01:03.000Z,2022-10-02T16:01:04.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.8424333,RENO - a multi-agent simulation tool for a renewable energy community,Zenodo,2023,en,Software,"Creative Commons Attribution 4.0 International,Open Access",A multi-agent simulation tool for simulating renewable energy communities in different configurations. GitLab up-to-date public repository: https://gricad-gitlab.univ-grenoble-alpes.fr/ploixs/energycommunitymodel,mds,True,findable,0,0,0,0,0,2023-10-10T06:42:43.000Z,2023-10-10T06:42:44.000Z,cern.zenodo,cern,"energy community,multi-agent,energy management,photovoltaic,self-consumption,self-sufficiency,human-centered control systems","[{'subject': 'energy community'}, {'subject': 'multi-agent'}, {'subject': 'energy management'}, {'subject': 'photovoltaic'}, {'subject': 'self-consumption'}, {'subject': 'self-sufficiency'}, {'subject': 'human-centered control systems'}]",,
-10.5281/zenodo.8404376,vispy/vispy: Version 0.14.1,Zenodo,2023,,Software,Open Access,<strong>Fixed bugs:</strong> return to oldest supported numpy #2535 (brisvag) <strong>Merged pull requests:</strong> Bump pypa/cibuildwheel from 2.16.0 to 2.16.1 #2534 (dependabot[bot]) Bump pypa/cibuildwheel from 2.15.0 to 2.16.0 #2531 (dependabot[bot]) Bump docker/setup-qemu-action from 2 to 3 #2529 (dependabot[bot]) Bump actions/checkout from 3 to 4 #2527 (dependabot[bot]),mds,True,findable,0,0,0,0,0,2023-10-03T22:23:30.000Z,2023-10-03T22:23:31.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.4715737,Research data: preparation of nanocellulose using non-aligned hemp bast fibers,Zenodo,2021,en,Dataset,"Creative Commons Attribution 4.0 International,Embargoed Access","The data files and archives contain experimental results and Optical, FESEM, and TEM micrographs of hemp fibers, raw and pretreated, and of the nanocellulose obtained from them. The files are named following this convention: Hemp_A_B.ext where A is the type of material: PT = fibers after all pretreatment steps PT(xx) = fibers after the pretreatment step indicated in the parenthesis PT_NC = fibers after all pretreatment steps and nanocellulose NC = nanocellulose and B is the type of measurement done: TEM = Transmission Electron Microscope FESEM = Field Emission Scanning Electron Microscope Dimensions = lengths and diameters of the fibers, as analyzed from the Optical, FESEM, and TEM micrographs with the software ImageJ XRD_bkgsub = X-ray diffraction measurements, with background subtracted FTIR = Fourier Transform Infrared Spectroscopy (in ATR mode) TGA = Thermogravimetric analysis The data will be made open as soon as possible depending on the publishing process of the article",mds,True,findable,0,0,0,0,0,2021-04-23T15:45:27.000Z,2021-04-23T15:45:28.000Z,cern.zenodo,cern,"Hemp,Nanocellulose","[{'subject': 'Hemp'}, {'subject': 'Nanocellulose'}]",,
-10.5281/zenodo.10695198,Environmental DNA highlights the influence of salinity and agricultural run-off on coastal fish assemblages in the Great Barrier Reef region,Zenodo,2024,,Software,MIT License,"Agricultural run-off in Australia's Mackay-Whitsunday region is a major source of nutrient and pesticide pollution to coastal and inshore ecosystems of the Great Barrier Reef. While the effects of run-off are well documented for the region's coral and seagrass habitats, the ecological impacts on estuaries, the direct recipients of run-off, are less known. This is particularly true for fish communities, which are shaped by the physico-chemical properties of coastal waterways that vary greatly in tropical regions. To address this knowledge gap, we used environmental DNA (eDNA) metabarcoding to examine fish assemblages at four locations (three estuaries and a harbour) subjected to varying levels of agricultural run-off during a wet and dry season. Pesticide and nutrient concentrations were markedly elevated during the sampled wet season with the influx of freshwater and agricultural run-off. Fish taxa richness significantly decreased in all three estuaries (F = 164.73, P = <0.001), along with pronounced changes in community composition (F = 46.68, P = 0.001) associated with environmental variables (largely salinity: 27.48% contribution to total variance). In contrast, the nearby Mackay Harbour exhibited a far more stable community structure, with no marked changes in fish assemblages observed between the sampled seasons. Among the four sampled locations, variation in fish community composition was more pronounced within the wet season (F = 2.5, P = 0.001). Notably, variation in the wet season was significantly correlated with agricultural contaminants (phosphorus: 6.25%, pesticides: 5.22%) alongside environmental variables (salinity: 5.61%, DOC: 5.57%). Historically contaminated and relatively unimpacted estuaries each demonstrated distinct fish communities, reflecting their associated catchment use. Our findings emphasise that while seasonal effects play a key role in shaping the community structure of fish in this region, agricultural contaminants are also important contributors in estuarine systems.",api,True,findable,0,0,0,0,0,2024-02-23T16:31:12.000Z,2024-02-23T16:31:12.000Z,cern.zenodo,cern,"eDNA,chemical analyses,species matrix","[{'subject': 'eDNA'}, {'subject': 'chemical analyses'}, {'subject': 'species matrix'}]",,
-10.6084/m9.figshare.13525199,Additional file 1 of Factors associated with survival of patients with solid Cancer alive after intensive care unit discharge between 2005 and 2013,figshare,2021,,Image,Creative Commons Attribution 4.0 International,Additional file 1: Supplementary Figure 1. Estimation of survival according to previous chemotherapy (Kaplan Meier).,mds,True,findable,0,0,32,1,0,2021-01-06T04:35:50.000Z,2021-01-06T04:35:53.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Biotechnology,Chemical Sciences not elsewhere classified,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['96708 Bytes'],
-10.5281/zenodo.10698942,NeoGeographyToolkit/StereoPipeline: 2024-02-23-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,1,0,2024-02-23T19:52:54.000Z,2024-02-23T19:52:54.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10568799,"Voter Autrement 2022 - The Online Experiment (""Un Autre Vote'')",Zenodo,2024,en,Dataset,ODC Open Database License v1.0,"Â In April 2022, we have run a voting experiment during the French presidential election. During this experiment, participants were asked to test several alternative voting methods to elect the French president, like scoring methods, instant-runoff voting, BordaÂ with partial rankings, majority judgement and pairwise comparisons. The experiment was both carried out in situ in polling stations during the first round of the presidential election (using paper ballots), and online between April 8th (two days before the first round of the election) and May 7th (using a web application). A total of 2308 participants took part in the online experiment. This dataset contains the answers provided by the participants to the online experiment, with no other processsing than a basic transformation to a set of CSV files.
-
-The companion paper available on this repository describes the experimental protocol, the format of the files, and summarizes the precise conditions under which this dataset is available.",api,True,findable,0,0,0,0,0,2024-01-30T15:47:32.000Z,2024-01-30T15:47:32.000Z,cern.zenodo,cern,"Election,Social Choice,Voting,Experimental Voting,Comsoc","[{'subject': 'Election'}, {'subject': 'Social Choice'}, {'subject': 'Voting'}, {'subject': 'Experimental Voting'}, {'subject': 'Comsoc'}]",,
-10.5281/zenodo.1475271,SPARK_Artefice_session_05072017_Grenoble,Zenodo,2018,en,Audiovisual,"Creative Commons Attribution Non Commercial 4.0 International,Open Access","Recording of a collaborative design session between designers and clients.
-
-A design company receives its clients to discuss/contribute/co-design together. They develop new graphical layout options for the packaging of a tomato sauce product using an ICT application based on Spatial Augmented Reality, which allows for a real-time modification. Language: English.",mds,True,findable,0,0,0,0,0,2018-10-31T09:52:51.000Z,2018-10-31T09:52:52.000Z,cern.zenodo,cern,"SPARK,H2020,Collaborative design,Co-design,Spatial Augmented Reality,Augmented Reality,Mixed prototype,Creativity,ICT","[{'subject': 'SPARK'}, {'subject': 'H2020'}, {'subject': 'Collaborative design'}, {'subject': 'Co-design'}, {'subject': 'Spatial Augmented Reality'}, {'subject': 'Augmented Reality'}, {'subject': 'Mixed prototype'}, {'subject': 'Creativity'}, {'subject': 'ICT'}]",,
-10.5281/zenodo.7110117,mhmdjouni/AoAdmmAsc-python: v1,Zenodo,2022,,Software,Open Access,First working environment for tensor CPD based on AO-ADMM-ASC in Python,mds,True,findable,0,0,0,0,0,2022-09-24T12:49:59.000Z,2022-09-24T12:50:00.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10717624,Improvements of the land surface configuration to better simulate seasonal snow cover in the European Alps with the CNRM-AROME46t1 convection-permitting regional climate model,Zenodo,2024,,ComputationalNotebook,Creative Commons Attribution 4.0 International,"This repository is associated to the manuscript ""Improvements of the land surface configuration to better simulate seasonal snow cover in the European Alps with the CNRM-AROME46t1 convection-permitting regional climate model"" :Â 
-
-
-
-Source code to perform analyses and make the figures of the manuscript within the zip archive : Improvements_CNRM-AROME.zip
-
-CNRM-AROME46 daily snow depth simulations : CNRM-AROME_experiments_daily_snow_depth.tar.gz",api,True,findable,0,0,0,0,0,2024-02-28T10:35:43.000Z,2024-02-28T10:35:43.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10715584,ZIB-IOL/OptimalDesignWithBoscia: Optimal Design with Boscia Conference version,MATH+ Cluster of Excellence,2024,,Software,Creative Commons Attribution 4.0 International,This release contains the model set-ups and experiment set-up to compare for the different solvers for the Exact Optimal Design Problem and the Fusion Design Problem under the A-criterion and D-criterion.,api,True,findable,0,0,0,2,1,2024-02-27T10:01:21.000Z,2024-02-27T10:01:21.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10718492,Effect of table tennis balls with different materials and structures on the hardness and elasticity,Zenodo,2024,en,Image,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2024-02-27T15:59:46.000Z,2024-02-27T15:59:46.000Z,cern.zenodo,cern,"Table tennis balls,Material,Hardness and Elasticity,Static mechanical characteristics","[{'subject': 'Table tennis balls'}, {'subject': 'Material'}, {'subject': 'Hardness and Elasticity'}, {'subject': 'Static mechanical characteristics'}]",,
-10.6084/m9.figshare.25329673,Additional file 1 of Insights of undergraduate health sciences students about a French interprofessional training initiative,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 1.,mds,True,findable,0,0,0,0,0,2024-03-02T04:43:16.000Z,2024-03-02T04:43:16.000Z,figshare.ars,otjm,"Pharmacology,Biotechnology,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",['15066 Bytes'],
-10.6084/m9.figshare.c.7097182,"Prevention of post-operative delirium using an overnight infusion of dexmedetomidine in patients undergoing cardiac surgery: a pragmatic, randomized, double-blind, placebo-controlled trial",figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background After cardiac surgery, post-operative delirium (PoD) is acknowledged to have a significant negative impact on patient outcome. To date, there is no valuable and specific treatment for PoD. Critically ill patients often suffer from poor sleep condition. There is an association between delirium and sleep quality after cardiac surgery. This study aimed to establish whether promoting sleep using an overnight infusion of dexmedetomidine reduces the incidence of delirium after cardiac surgery. Methods Randomized, pragmatic, multicentre, double-blind, placebo controlled trial from January 2019 to July 2021. All adult patients aged 65Â years or older requiring elective cardiac surgery were randomly assigned 1:1 either to the dexmedetomidine group or the placebo group on the day of surgery. Dexmedetomidine or matched placebo infusion was started the night after surgery from 8Â pm to 8 am and administered every night while the patient remained in ICU, or for a maximum of 7Â days. Primary outcome was the occurrence of postoperative delirium (PoD) within the 7Â days after surgery. Results A total of 348 patients provided informed consent, of whom 333 were randomized: 331 patients underwent surgery and were analysed (165 assigned to dexmedetomidine and 166 assigned to placebo). The incidence of PoD was not significantly different between the two groups (12.6% vs. 12.4%, pâ€‰=â€‰0.97). Patients treated with dexmedetomidine had significantly more hypotensive events (7.3% vs 0.6%; pâ€‰&lt;â€‰0.01). At 3Â months, functional outcomes (Short-form 36, Cognitive failure questionnaire, PCL-5) were comparable between the two groups. Conclusion In patients recovering from an elective cardiac surgery, an overnight infusion of dexmedetomidine did not decrease postoperative delirium. Trial registration This trial was registered on ClinicalTrials.gov (number: NCT03477344; date: 26th March 2018).",mds,True,findable,0,0,0,0,0,2024-02-29T04:43:09.000Z,2024-02-29T04:43:10.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,Developmental Biology,Cancer,Science Policy,Mental Health,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.5061/dryad.wdbrv15wb,"Ecological niche modelling to project past, current and future distributional shift of black ebony tree (Diospyros melanoxylon Roxb.) in India",Dryad,2024,en,Dataset,Creative Commons Zero v1.0 Universal,"The present study utilized an ensemble modelling approach to predict the
- distribution of D. melanoxylon under present, past (Last Glacial Maximum,
- ~22,000 cal yr BP, Middle Holocene ~6000 cal yr BP) and future climate
- change scenarios (RCP 2.6 and 8.5 for 2050s and 2070s). The annual mean
- temperature, mean temperature of the wettest quarter and annual
- precipitations were the most critical parameters that chiefly influence
- the distribution of D. melanoxylon. The ensemble model rendered high
- accuracy with AUC=0.93, TSS=0.74, and Kappa=0.71. Past projections of D.
- melanoxylon indicated a widespread distribution during the Last Glacial
- Maximum and Middle Holocene suggesting its adaptability to semi-dry as
- well as warm and humid climates, respectively. The presence of fossil
- pollen evidence ofÂ D. melanoxylon in the suitable habitats derived through
- past projections in this study complements the model results and marks
- occurrences of the species during the Last Glacial Maximum and Middle
- Holocene. By 2050s and 2070s (RCP 8.5), there would be a decline in the
- distribution by only 0.4% (13622 km2) and 0.2% (6842 km2) of the extremely
- habitat suitable, respectively. The main factor leading to reduced habitat
- suitability is the anticipated rise in temperature and variations in
- seasonal precipitation patterns. Our findings, help in identifying the
- parts of the country which would be severely affected by future climate
- change scenarios and plan conservation strategies for this commercially
- important species to facilitate its growth in suitable habitats which are
- likely to sustain under future climatic conditions.",mds,True,findable,0,0,0,0,0,2024-02-27T18:03:59.000Z,2024-02-27T18:04:00.000Z,dryad.dryad,dryad,"FOS: Natural sciences,FOS: Natural sciences,Species distribution model,Climate change,habitat suitability,Diospyros melanoxylon,Conservation","[{'subject': 'FOS: Natural sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Natural sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Species distribution model'}, {'subject': 'Climate change', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'habitat suitability'}, {'subject': 'Diospyros melanoxylon'}, {'subject': 'Conservation'}]",['587063304 bytes'],
-10.5281/zenodo.10775263,serasset/dbnary: Release v3.1.14,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"Changelog
-
-c8eda22 Merge branch 'release/3.1.14'
-065f441 update(doc): License files span until 2024
-44a3319 Update versions for release
-ea78adb update(dependencies): bumping several dependencies to latest version
-e7c696c fix(spanish): FIX #138 part of speeches may now be given in templates
-dbc059d fix(spanish): part of speeches may now be given in templates
-870130e Merge remote-tracking branch 'origin/develop' into develop
-9727442 fix(spanish): part of speeches may now be given in templates
-531f587 fix(spanish): part of speeches may now be given in templates
-5686259 fix(english): amend logging of derivation parser
-2989357 fix(virtuoso): use coherent naming for graphs (with no trailing /)
-df88474 fix(english): Correctly handling ja-usex template variants and redirects
-dbeb07f fix(maven): update scala libraries and compiler
-19f84ff fix(english): FIX #137 handling ja-usex template
-24956f3 fix(maven): update scala library
-81456a3 fix(virtuoso): the named graph for exolex should not finish with a trailing slach
-eb569d6 Clenup virtuoso.ini in production mode.
-f870b3b fix(dependencies): update bliki version
-40ece92 fix(scripts): allow sample size argument in local evaluation script
-e458b96 fix(english) use next bliki version (fix to php.loadPackage as used by japanese transcription programs)
-6df87a7 fix(english) Avoid call to tracking templates in english example expander
-f3dafe0 Merge branch 'release/3.1.13'
-a103a2f Update versions for release
-72122e1 fix(catalan): error in pronunciation extraction
-3335c37 fix(catalan): many bibliographic references are blank
-d15df99 fix(dependencies): updated dependencies for security reasons
-771bfa2 fix(catalan): check given language before generating a lang string to avoid rdf errors.
-fe87545 fix(commands): add catalan and irish codes to the rotate virtuoso script
-9855eb3 Update for next development version
-5919911 Merge branch 'hotfix/3.1.12b' into develop
-54096e0 Update to hotfix version
-0077b4d Merge branch 'hotfix/3.1.12b'
-bcda578 fix(commands): do not generate HDT combined files anymore as it seems not to correctly work at least in English
-2286a94 enh(all): removed some code smells
-a865807 Update versions for hotfix
-2415121 fix(english): first attempt to extract pronunciations' locale information
-de6b6f3 fix(model): fixed lime:language as a measure property in statistics datacube
-5f5cd4f Update for next development version
-71438a9 Merge branch 'release/3.1.12'
-98c5887 Merge branch 'release/3.1.12' into develop
-fdb4d1d Update versions for release
-97df0a4 fix(extractor): added gaelic and catalan to default set of languages
-9902207 Merge branch 'feature/alet' into develop
-c2bafef Update versions for development branch
-d3accfe Bumping bliki version
-73eca1b Refactoring some var names.
-cf91bcf Extracting pronunciation dialect.
-116880d Patch infinite loop.
-07dba5f fix(catalan): changed bliki bundle message encoding
-d2461d1 Final commit for Catalan.
-dcc1127 commit stashed changes.
-0ea514d fix(catalan): added definition rendering
-9328c90 fix(gaelic): cleanup for code standards
-5d0362e Template args & exolex BIG check.
-e7d09d2 Big refactor, and finishing CA check.
-3857286 Removing useless code
-53318d1 Update for next development version
-58581fe Merge branch 'release/3.1.11' into develop
-376e686 Merge branch 'release/3.1.11'
-932175b Update versions for release
-eb2f760 fix(wikimodel): update bliki and taking into account the (now) correct management of the engine
-9922814 fix(maven/jreleaser): rollbacked problematic changes
-bd24918 Revert ""fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation""
-2aaefea fixed a doc error
-2b8e997 fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-37b81b3 Merge remote-tracking branch 'origin/master'
-b0561ea fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-52df665 fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-511a9dd fix(maven/jreleaser): rollbacked problematic changes
-e256104 Update for next development version
-9ee6432 Merge branch 'release/3.1.10'
-fe3f322 Merge branch 'release/3.1.10' into develop
-37962ef Update versions for release
-e2ec953 fix(serbo croatian): Fix #18: cyrilic form is now added to the canonical form
-19a5577 fix(german): Fix #24: now expand German definition using bliki
-326f2db fix(commands): catching StackOverflowError in extraction command lines
-2eef6e0 fix(commands): catching StackOverflowError in extraction command lines
-f9b9f24 fix(wikitext): fixed a stack overflow issue with large  wikitext
-de3b737 fix(no): translations extraction
-ce359a1 test(cicd): attempt using gitlab generic package upload
-f8b0bba cleanup(enhancement): simplifying test
-8aea280 fix(commands): compare command now check if file exists before fetching
-b00bb06 Merge branch 'release/3.1.9'
-abce2e2 Update versions for release
-73e2e9c fix(english): fix #128 some pronunciation where missing
-3e74edd fix(greek): avoiding a rare NPE in pronunciation extraction
-61acbe1 fix(virtuoso): normalized prod virtuoso config
-c32adee fix(all): Uses a Debug lua lig in case of call with lua classes trace enabled
-b747c58 fix(greek): updted scribunto to handle some greek edge case issues in Lua Modules
-eb71b54 fix(virtuoso) disabling the translatableAs linking SPARQL updatewq
-204d694 fix(virtuoso): allocate more memory to virtuoso bootstrap process
-4ffa8f0 fix(evaluation) updated local evaluation script
-c09b117 Merge branch 'develop'
-60240fe Update versions for release
-88e2f43 fix(extractor): updated scribunto and lua engine to cope with recently introduced errors from English Modules
-e419b1c Merge branch 'feature/struct-checker' into develop
-8846aad Update versions for development branch
-c49d088 fix(loading): re-enabling the vartrans translatableAs link creation for non homonymous translation targets
-1286a2d fix(english): better typing of Lexical Entries as Words, or MultiWordExpressions or Affixes
-83ddcef enhance(command): introducing a structure checking command that launch a language dependent class that is meant to perform some integrity checks on wiktionary pages structures
-e4caa39 fix(pom): bumped failsafe and surefire maven plugins to comply with new mvn 3.9.1 deprecations
-33b4a1a enhancement(en) updated run conf
-525d756 fix(all) systematically removing safesubst from templates
-d53c000 cleanup(spanish) code style
-88949ac fix(spanish) fix a NPE in Spanish translation extractions
-0699692 fix(spanish) Fixes #13 Attach translation to correct entry and word sense when a sense number is given as a gloss
-4eab720 Merge branch 'release/3.1.7'
-5c67c6f Update versions for release
-b9de781 fix(german) added new vorname declination template extraction
-5c1d44a fix(german) incorrect declination filter for adjectives
-00fa112 Modified launch configuration
-4a6f073 fix(english) fixes notes extracted as derivations
-a3bb69d fix(german) better handling of Genus in Substantiv morphology
-cf9ad33 fix(english) some usage notes may now be associated to inflections
-095fea5 Merge branch 'hotfix/3.1.6-a'
-6620739 Update versions for hotfix
-7120e3e Merge branch 'hotfix/3.1.6_1'
-7b81c10 fix(french) checking language tag when creating example
-d2e6e52 fix(french) checking language tag when creating example
-89d83be Update versions for hotfix
-7ba4ba8 Merge branch 'release/3.1.6'
-c428ecc Update versions for release
-edc3018 fix(english) workaround several bugs in example extraction
-7aac67a fix(english) workaround a bug in bliki eval of English str left template
-f0dddd9 fix(english) updated derivations parser
-31846a1 Merge branch 'release/3.1.5'
-2210fce Update versions for release
-2c4dfb4 enhance(english) first attempt in derivations extraction
-329c78a fix(german) cope with chang in translation table template args
-aa0c8b8 Merge branch 'release/3.1.4'
-f643f98 Update versions for release
-f631b84 fix(deploy) the production virtuoso.ini is now produced using the local environment
-e7fe0ff Merge branch 'release/3.1.3'
-fbdd777 Update versions for release
-1dc9296 Merge branch 'hotfix/3.1.3'",api,True,findable,0,0,0,1,0,2024-03-03T16:08:05.000Z,2024-03-03T16:08:05.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.25309966,"Additional file 1 of Prevention of post-operative delirium using an overnight infusion of dexmedetomidine in patients undergoing cardiac surgery: a pragmatic, randomized, double-blind, placebo-controlled trial",figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Table S1. Minimum and maximum dose of dexmedetomidine and its corresponding placebo administered every night (from 8 pm to 8 am) from Day 0 to Day 7. Table S2. All concomitant treatments administered from inclusion to Day 7 in both groups. Table S3. Main reason why CAM-ICU assessment and sleep quality evaluation were not performed or missing from Day 1 to Day 7. Table S4. Comparison of dexmedetomidine versus placebo on secondary outcomes: daily evaluation of sleep quality. Data are expressed as median and IQR. Table S5. Comparison of dexmedetomidine versus placebo on secondary outcomes: detailed sections of LSEQ during the 7 days of observation. Data are expressed as median and IQR. Table S6. Baseline creatinine level and daily renal component of the SOFA (Sequential Organ Failure Assessment) score. Table S7. Preplanned sub-group analysis for the primary outcome. Occurrence of PoD within the 7 days after surgery are expressed as number (%). Appendix 1. The cognitive failures questionnaire. Appendix 2. The PCL-5 standard form checklist. Appendix 3. The Leeds Sleep Evaluation Questionnaire (LSEQ). Each item is rated from -5 to +5. Negative score corresponded to negative effects on sleep quality.,mds,True,findable,0,0,33,0,0,2024-02-29T04:43:08.000Z,2024-02-29T04:43:08.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Pharmacology,Biotechnology,Developmental Biology,Cancer,Science Policy,Mental Health,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['584702 Bytes'],
-10.5281/zenodo.10715585,ZIB-IOL/OptimalDesignWithBoscia: Optimal Design with Boscia Conference version,MATH+ Cluster of Excellence,2024,,Software,Creative Commons Attribution 4.0 International,This release contains the model set-ups and experiment set-up to compare for the different solvers for the Exact Optimal Design Problem and the Fusion Design Problem under the A-criterion and D-criterion.,api,True,findable,0,0,0,2,0,2024-02-27T10:01:21.000Z,2024-02-27T10:01:21.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10732538,NeoGeographyToolkit/StereoPipeline: 2024-03-01-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,0,0,2024-03-01T15:56:19.000Z,2024-03-01T15:56:19.000Z,cern.zenodo,cern,,,,
-10.60527/ndaf-te24,Les infrastructures du numÃ©rique et les logiques de dÃ©veloppement,"Univ. Grenoble Alpes, GRESEC",2015,,Other,,,api,True,findable,0,0,0,0,0,2024-03-06T22:50:33.000Z,2024-03-06T22:50:33.000Z,fmsh.prod,fmsh,,,,
-10.60527/nnhk-n811,Les dispositifs et l'Ã©volution des pratiques,"Univ. Grenoble Alpes, GRESEC",2015,,Other,,,api,True,findable,0,0,0,0,0,2024-03-06T22:51:13.000Z,2024-03-06T22:51:13.000Z,fmsh.prod,fmsh,,,,
-10.60527/rdw0-ps12,ConfÃ©rence d'ouverture : Le numÃ©rique et les industries de la culture et de la communication : logiques en cours et enjeux.,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"ConfÃ©rence d'ouverture du colloque par Philippe Bouquillion : Professeur, LabSIC, Paris 13. Le 4 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). ConfÃ©rence au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:29.000Z,2024-03-06T22:51:29.000Z,fmsh.prod,fmsh,,,,['video/mp4']
-10.60527/bjb2-pj78,Analyse des pratiques info-communicationnelles des territoires : le dÃ©ploiement de dispositifs numÃ©riques au service du modÃ¨le de Â« gouvernance ouverte Â»,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention d'Hakim AKRAB : Docteur, GRESEC, UniversitÃ© Stendhal Grenoble 3. Le 4 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-06T22:50:34.000Z,2024-03-06T22:50:34.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.6084/m9.figshare.c.7105606,Large-scale phosphoproteomics reveals activation of the MAPK/GADD45Î²/P38 axis and cell cycle inhibition in response to BMP9 and BMP10 stimulation in endothelial cells,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background BMP9 and BMP10 are two major regulators of vascular homeostasis. These two ligands bind with high affinity to the endothelial type I kinase receptor ALK1, together with a type II receptor, leading to the direct phosphorylation of the SMAD transcription factors. Apart from this canonical pathway, little is known. Interestingly, mutations in this signaling pathway have been identified in two rare cardiovascular diseases, hereditary hemorrhagic telangiectasia and pulmonary arterial hypertension. Methods To get an overview of the signaling pathways modulated by BMP9 and BMP10 stimulation in endothelial cells, we employed an unbiased phosphoproteomic-based strategy. Identified phosphosites were validated by western blot analysis and regulated targets by RT-qPCR. Cell cycle analysis was analyzed by flow cytometry. Results Large-scale phosphoproteomics revealed that BMP9 and BMP10 treatment induced a very similar phosphoproteomic profile. These BMPs activated a non-canonical transcriptional SMAD-dependent MAPK pathway (MEKK4/P38). We were able to validate this signaling pathway and demonstrated that this activation required the expression of the protein GADD45Î². In turn, activated P38 phosphorylated the heat shock protein HSP27 and the endocytosis protein Eps15 (EGF receptor pathway substrate), and regulated the expression of specific genes (E-selectin, hyaluronan synthase 2 and cyclooxygenase 2). This study also highlighted the modulation in phosphorylation of proteins involved in transcriptional regulation (phosphorylation of the endothelial transcription factor ERG) and cell cycle inhibition (CDK4/6 pathway). Accordingly, we found that BMP10 induced a G1 cell cycle arrest and inhibited the mRNA expression of E2F2, cyclinD1 and cyclinA1. Conclusions Overall, our phosphoproteomic screen identified numerous proteins whose phosphorylation state is impacted by BMP9 and BMP10 treatment, paving the way for a better understanding of the molecular mechanisms regulated by BMP signaling in vascular diseases.",mds,True,findable,0,0,0,0,0,2024-03-05T09:40:32.000Z,2024-03-05T09:40:33.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Genetics,Molecular Biology,Pharmacology,Chemical Sciences not elsewhere classified,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology,Cancer,Infectious Diseases,FOS: Health sciences,Plant Biology,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'Molecular Biology'}, {'subject': 'Pharmacology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Plant Biology'}, {'subject': 'Computational Biology'}]",,
-10.60527/kq79-kq26,Figure et formes de recommandations culturelles profane sur le web : le cas des platesformes musicales,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Manuel DUPUY-SALLE, William SPANO et Camille JUTANT : MaÃ®tres de confÃ©rences, ELICO, Lyon2. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:22.000Z,2024-03-06T22:51:22.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/zxn9-6b90,Les rÃ©seaux socionumÃ©riques et la reconfiguration de lâ€™espace public en Russie post-soviÃ©tique,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention d'Alexander Kondratov : Doctorant au Gresec. UniversitÃ© Stendhal Grenoble 3. Le 4 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"". ",api,True,findable,0,0,0,0,0,2024-03-06T22:50:23.000Z,2024-03-06T22:50:23.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/cymb-t312,Technologies numÃ©riques dâ€™information et de communication et rationalisations organisationnelles : une entrÃ©e par Â« le travail de modÃ©lisation Â»,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Jean-Luc BOUILLON : Pr. en sciences de lâ€™information et de la communication. PREFICS (EA 4246). UniversitÃ© Rennes 2 Haute-Bretagne. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et ï»¿pratiquesï»¿"".    ",api,True,findable,0,0,0,0,0,2024-03-07T04:48:18.000Z,2024-03-07T04:48:18.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/evrp-sc36,Entre dispositifs hÃ©tÃ©rogÃ¨nes de narration et pratiques mÃ©diatiques dâ€™exploration : le webdocumentaire comme prÃ©texte numÃ©rique,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de ChloÃ« SALLES : MaÃ®tre de confÃ©rences au Gresec, UniversitÃ© Stendhal Grenoble 3 et de Laurie SCHMITT : MaÃ®tre de confÃ©rences au Gresec, UniversitÃ© Stendhal Grenoble 3. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".  ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:18.000Z,2024-03-06T22:51:18.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/ej9m-bc86,Analyse de lâ€™Ã©dition scientifique numÃ©rique au prisme des enjeux territoriaux,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention d'Edith LAVIEC : Doctorante au Gresec. UniversitÃ© Stendhal Grenoble 3. PrÃ©pare actuellement une thÃ¨se sur les enjeux territoriaux liÃ©s aux nouvelles formes dâ€™Ã©dition dâ€™ouvrages scientifiques, pour laquelle elle bÃ©nÃ©ficie dâ€™une allocation rÃ©gionale. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-06T22:50:36.000Z,2024-03-06T22:50:36.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/hytc-5677,Les portails comme dispositifs numÃ©riques info-communicationnels,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Sokhna Fatou SECK : Doctorante au Gresec. UniversitÃ© Stendhal Grenoble 3. Le 4 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:57.000Z,2024-03-06T22:51:57.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/z64w-t441,"La mÃ©diatisation comme enjeu au sein des pratiques, stratÃ©gies et dispositifs dâ€™information et de communication politique en ligne","Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Simon GADRAS : ELICO, UniversitÃ© LumiÃ¨re-Lyon 2. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".    ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:37.000Z,2024-03-06T22:51:38.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/dq6j-9e47,"NumÃ©rique et patrimoine urbain : promesses, imaginaires et dispositifs de mÃ©diation","Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Marie Cambone : Doctorante au centre Norbert Elias, UMR 8562, Ã‰quipe Culture et Communication. Le 4 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3).",api,True,findable,0,0,0,0,0,2024-03-06T22:50:47.000Z,2024-03-06T22:50:47.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/zsq8-tz04,Eloge de lâ€™indisponibilitÃ© numÃ©rique au travail,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Yanita ANDONOVA : MaÃ®tre de confÃ©rences Ã  lâ€™UniversitÃ© Paris 13. Chercheur au LabSic. Le 4 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"". ",api,True,findable,0,0,0,0,0,2024-03-06T22:52:00.000Z,2024-03-06T22:52:00.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/07zp-aq60,Enjeux mÃ©thodologiques de lâ€™hybridation des pratiques : le cas de lâ€™audiovisuel sur smartphone,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Virginie SONET : MaÃ®tre de confÃ©rence, IFP / CARISM â€“ UniversitÃ© PanthÃ©on-Assas. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:39.000Z,2024-03-06T22:51:39.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.5281/zenodo.10788911,"SkyView Factor (SVF) in 27+ million positions in Nantes, France",Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"GeoTIFF mapping depicts the sky view factor (SVF) of over 27 million locations within the perimeter of the ring road encircling Nantes, France. This openness indicator provides information on the potential of each open space to have radiative exchanges with the sky. As such, it is likely to inform urban planning policies, for instance, in terms of drainage measures for artificial soils or the identification of walking corridors.
-
-The calculations were carried out using t4gpd (https://pypi.org/project/t4gpd/).",api,True,findable,0,0,0,0,1,2024-03-06T16:55:54.000Z,2024-03-06T16:55:54.000Z,cern.zenodo,cern,"Urban planning,Urban morphology,SkyView Factor,SVF","[{'subject': 'Urban planning'}, {'subject': 'Urban morphology'}, {'subject': 'SkyView Factor'}, {'subject': 'SVF'}]",,
-10.60527/t65m-5h40,"Analyser lâ€™expÃ©rience dâ€™interaction sur le web, entre promesses des dispositifs numÃ©riques et perception de lâ€™usager : dÃ©finition dâ€™une mÃ©thode","Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".",api,True,findable,0,0,0,0,0,2024-03-06T22:51:14.000Z,2024-03-06T22:51:14.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/kzta-f520,Les platesformes numÃ©riques des chaÃ®nes de tÃ©lÃ©vision : du fantasme technologique Ã  la rÃ©alitÃ© de la pratique des jeunes,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de MarlÃ¨ne LOICQ : Docteure en science de lâ€™information et de la communication. UniversitÃ© Laval. QuÃ©bec et Elodie KREDENS : LLSETI, UniversitÃ© Savoie Mont-Blanc. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"". ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:01.000Z,2024-03-06T22:51:02.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/fpa9-1718,Les transformations dans les champs sociaux,"Univ. Grenoble Alpes, GRESEC",2015,,Other,,,api,True,findable,0,0,0,0,0,2024-03-06T22:50:24.000Z,2024-03-06T22:50:24.000Z,fmsh.prod,fmsh,,,,
-10.60527/67kz-8s19,Usages et pratiques des TIC dans les fablabs,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention d'Anne GAGNEBIEN : Docteure en science de lâ€™information et de la communication et membre du LabSIC. Communication Ã©galement prÃ©parÃ©e avec Akila NEDJAR-GUERRE : MaÃ®tre de confÃ©rences en sciences deÂ  lâ€™information et de la communication. Sciences de lâ€™homme et de la sociÃ©tÃ©. UniversitÃ© de Cergy-Pontoise. Le 4 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"". ",api,True,findable,0,0,0,0,0,2024-03-06T22:50:58.000Z,2024-03-06T22:50:58.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/zcmq-v747,Communication numÃ©rique et santÃ© publique : lâ€™exemple du Â« Pass SantÃ© Jeunes Â» de la rÃ©gion Bourgogne,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Thibaud HULIN : maÃ®tre de confÃ©rences. Communication prÃ©parÃ©e avec Olivier GALIBERT : maÃ®tre de confÃ©rences HDR, Fabrice PIROLLI : maÃ®tre de confÃ©rences. Laboratoire CIMEOS (EA 4177) / Sciences de lâ€™Information et de la Communication. UniversitÃ© de Bourgogne. Et StÃ©phane DJAHANCHAHI : IngÃ©nieur dâ€™Etudes, Benjamin LAURENT : Chercheur AssociÃ©. Laboratoire LEDi (UMR 6307) / Ã‰conomie de la santÃ©. UniversitÃ© de Bourgogne. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-07T04:48:19.000Z,2024-03-07T04:48:19.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.5281/zenodo.10783229,NeoGeographyToolkit/StereoPipeline: 2024-03-05-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,0,0,2024-03-05T18:27:13.000Z,2024-03-05T18:27:14.000Z,cern.zenodo,cern,,,,
-10.60527/3dvh-8m86,Les stratÃ©gies de programmation au prisme des logiques dâ€™Ã©vÃ©nementisation et dâ€™Ã©vÃ©nementialisation : convergence des pratiques de diffusion culturelle,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Bruno CAILLIER : MaÃ®tre de confÃ©rences. UniversitÃ© de Nice Sophia-Antipolis. Laboratoire I3M et Christel TAILLIBERT : MaÃ®tre de confÃ©rences. UniversitÃ© de Nice Sophia-Antipolis. Laboratoire LIRCES (EA-3159). Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"". ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:30.000Z,2024-03-06T22:51:30.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/3ygq-v524,"Des plates-formes numÃ©riques dans les champs de lâ€™Ã©ducation, formation, orientation, rÃ©vÃ©latrices des mutations industrielles et sociales","Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Laurent Petit : MaÃ®tre de confÃ©rences HDR.  LabSIC, UniversitÃ© Paris 13. Communication prÃ©parÃ©e avec Yolande COMBES : MaÃ®tre de confÃ©rences, Professeur. LabSIC, UniversitÃ© Paris 13. Le 4 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-06T22:50:48.000Z,2024-03-06T22:50:48.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/qsw1-vr24,TIC et mobilisation : le cas du Congo,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de ThÃ©odora MIERE : MaÃ®tre de ConfÃ©rences en Sciences de lâ€™Information et de la Communication. UniversitÃ© de Versailles Saint-Quentin en Yvelines. Chercheur au Larequoi - IUT de Mantes en Yvelines. Le 4 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:53.000Z,2024-03-06T22:51:54.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/s3pc-ya20,ConfÃ©rence d'ouverture : Le numÃ©rique et les industries de la culture et de la communication : logiques en cours et enjeux.,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"ConfÃ©rence d'ouverture du colloque par Philippe Bouquillion   : Professeur, LabSIC, Paris 13. Le 4 mai 2015 Ã  l'Institut de la   Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). ConfÃ©rence   au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"". Seule la version audio est disponible. ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:23.000Z,2024-03-06T22:51:24.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/ds89-6j10,Contribution Ã  l'Ã©pistÃ©mologie du digital labor : le capitalisme affectif comme mÃ©tadispositif,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Camille ALLOING, maÃ®tre de confÃ©rences, laboratoire CEREGE, Poitier et de Julien PIERRE, Docteur, laboratoire GRESEC, Grenoble. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au coeur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"". ",api,True,findable,0,0,0,0,0,2024-03-06T22:50:32.000Z,2024-03-06T22:50:32.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.5281/zenodo.10788912,"SkyView Factor (SVF) in 27+ million positions in Nantes, France",Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"GeoTIFF mapping depicts the sky view factor (SVF) of over 27 million locations within the perimeter of the ring road encircling Nantes, France. This openness indicator provides information on the potential of each open space to have radiative exchanges with the sky. As such, it is likely to inform urban planning policies, for instance, in terms of drainage measures for artificial soils or the identification of walking corridors.
-
-The calculations were carried out using t4gpd (https://pypi.org/project/t4gpd/).",api,True,findable,0,0,0,0,0,2024-03-06T16:55:54.000Z,2024-03-06T16:55:54.000Z,cern.zenodo,cern,"Urban planning,Urban morphology,SkyView Factor,SVF","[{'subject': 'Urban planning'}, {'subject': 'Urban morphology'}, {'subject': 'SkyView Factor'}, {'subject': 'SVF'}]",,
-10.60527/1egh-1a67,"Noter, Ã©valuer, apprÃ©cier. Formes, formats et pratiques de la prescription culturelle sur le web","Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de ValÃ©rie CROISSANT: Laboratoire ELICO - UniversitÃ© Lyon 2. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:26.000Z,2024-03-06T22:51:27.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.6084/m9.figshare.25341247,Additional file 1 of Large-scale phosphoproteomics reveals activation of the MAPK/GADD45Î²/P38 axis and cell cycle inhibition in response to BMP9 and BMP10 stimulation in endothelial cells,figshare,2024,,Dataset,Creative Commons Attribution 4.0 International,Additional file 1.,mds,True,findable,0,0,0,0,0,2024-03-05T09:40:32.000Z,2024-03-05T09:40:33.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Genetics,Molecular Biology,Pharmacology,Chemical Sciences not elsewhere classified,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology,Cancer,Infectious Diseases,FOS: Health sciences,Plant Biology,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'Molecular Biology'}, {'subject': 'Pharmacology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Plant Biology'}, {'subject': 'Computational Biology'}]",['29389796 Bytes'],
-10.60527/gx2t-a525,"Evolution des schÃ¨mes organisateurs, prÃ©sentation de lâ€™information et identitÃ©s sociales des internautes","Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de GÃ©rald LACHAUD : Doctorant, ELICO Lyon3. Le 4 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:00.000Z,2024-03-06T22:51:00.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/kr45-gv91,Les enjeux de la numÃ©risation pour le mÃ©dia radio : le cas des radios associatives de Grenoble,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention de Maria HOLUBOWICZ : MaÃ®tre de confÃ©rences au Gresec, UniversitÃ© Stendhal Grenoble 3. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"".   ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:13.000Z,2024-03-06T22:51:13.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.60527/aa32-v231,Les rhÃ©toriques de lâ€™information en ligne : lâ€™affaire de Â« la thÃ©orie du genre Â» Ã  lâ€™Ã©cole,"Univ. Grenoble Alpes, GRESEC",2015,fr,Audiovisual,Droit commun de la propriÃ©tÃ© intellectuelle,"Intervention d'Anne-Lise Touboul: MaÃ®tre de confÃ©rences, ELICO, Lyon2. Le 5 mai 2015 Ã  l'Institut de la Communication et des MÃ©dias (UniversitÃ© Stendhal Grenoble 3). Communication au colloque international ""La communication numÃ©rique au cÅ“ur des sociÃ©tÃ©s : dispositifs, logiques de dÃ©veloppement et pratiques"". ",api,True,findable,0,0,0,0,0,2024-03-06T22:51:19.000Z,2024-03-06T22:51:19.000Z,fmsh.prod,fmsh,"Sciences de l'information et de la communication,Communication","[{'subject': ""Sciences de l'information et de la communication""}, {'subject': 'Communication'}]",,['video/mp4']
-10.34847/nkl.c9e92or4,"Taciti et C. Velleii Paterculi scripta quae exstant; recognita, emaculata. Additique commentarii copiosissimi et notae non antea editae Paris e typographia Petri Chevalier, in monte diui Hilarii - II-0705",NAKALA - https://nakala.fr (Huma-Num - CNRS),2020,,Image,,,api,True,findable,0,0,0,0,0,2023-01-30T09:25:06.000Z,2023-01-30T09:25:06.000Z,inist.humanum,jbru,,,['53932108 Bytes'],['image/tiff']
-10.5281/zenodo.10794760,NeoGeographyToolkit/StereoPipeline: 2024-03-07-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,0,0,2024-03-07T17:47:37.000Z,2024-03-07T17:47:38.000Z,cern.zenodo,cern,,,,
-10.34847/nkl.b1cb3arm,"Taciti et C. Velleii Paterculi scripta quae exstant; recognita, emaculata. Additique commentarii copiosissimi et notae non antea editae Paris e typographia Petri Chevalier, in monte diui Hilarii - II-0689",NAKALA - https://nakala.fr (Huma-Num - CNRS),2020,,Image,,,api,True,findable,0,0,0,0,0,2023-01-17T17:24:40.000Z,2023-01-17T17:24:41.000Z,inist.humanum,jbru,,,['52872938 Bytes'],['image/tiff']
-10.5061/dryad.83bk3jb0h,Land use and land cover scenarios for the Maurienne valley (French Alps) at 2085 horizon produced using CLUMPY model,Dryad,2024,en,Dataset,Creative Commons Zero v1.0 Universal,"We built three contrasted future LULC scenarios from 2020 to 2085 with the
- CLUMPY model (Mazy and Longaretti, 2022). The CLUMPY model is an
- innovative model of land use and land cover change comprising a
- calibration-estimation module separate from a non-biased allocation
- module. It is calibrated by using time series of past LULC maps (Mazy and
- Longaretti, 2022). The model then calculates transition probabilities for
- each LULC class according to relevant spatial explanatory variables. Next,
- the model can produce maps of future LULC distributions according to
- information it learned during the calibration-estimation phase. This model
- has the benefits of being easy to use, proposing nonbiased allocation
- methods and producing scenarios of future LULC change either by adjusting
- manually the matrix of LULC transitions probabilities (used for the
- Conservation and Tourism scenarios) or by training the model on specific
- areas of the past time series (only used for the Conservation scenario).",mds,True,findable,0,0,0,0,0,2024-03-08T13:28:51.000Z,2024-03-08T13:28:52.000Z,dryad.dryad,dryad,"LULC,modelling,Alps,scenarios,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences","[{'subject': 'LULC'}, {'subject': 'modelling'}, {'subject': 'Alps'}, {'subject': 'scenarios'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['307008659 bytes'],
-10.5281/zenodo.10801510,NeoGeographyToolkit/StereoPipeline: 2024-03-10-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,1,0,2024-03-10T09:19:59.000Z,2024-03-10T09:19:59.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10803259,NeoGeographyToolkit/StereoPipeline: 2024-03-11-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,1,0,2024-03-11T08:22:07.000Z,2024-03-11T08:22:07.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_jf_20201104_001,"Visible near infrared spectra of salt crusts in Andean Salars, Chile",SSHADE/Mirabelle (OSUG Data Center),2021,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Visible near infrared spectra of sulfates and chlorides salt crusts in Andean Salars, Chile",mds,True,findable,0,0,2,0,0,2024-03-11T18:37:50.000Z,2024-03-11T18:37:50.000Z,inist.sshade,mgeg,"field measurement,biconical reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor,Halite,Albite,Anhydrite,Ankerite,Gypsum,Sylvite,Aragonite,Pinnoite,Quartz,Dolomite,Ulexite,Thenardite,Nobleite,Glauberite,Anorthite,Bassanite,Calcite,Quartz_alpha,Blodite,Natron,Mirabilite,mineral,natural terrestrial,halide,tektosilicate,sulfate,carbonate,borate","[{'subject': 'field measurement', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Halite', 'subjectScheme': 'name'}, {'subject': 'Albite', 'subjectScheme': 'name'}, {'subject': 'Anhydrite', 'subjectScheme': 'name'}, {'subject': 'Ankerite', 'subjectScheme': 'name'}, {'subject': 'Gypsum', 'subjectScheme': 'name'}, {'subject': 'Sylvite', 'subjectScheme': 'name'}, {'subject': 'Aragonite', 'subjectScheme': 'name'}, {'subject': 'Pinnoite', 'subjectScheme': 'name'}, {'subject': 'Quartz', 'subjectScheme': 'name'}, {'subject': 'Dolomite', 'subjectScheme': 'name'}, {'subject': 'Ulexite', 'subjectScheme': 'name'}, {'subject': 'Thenardite', 'subjectScheme': 'name'}, {'subject': 'Nobleite', 'subjectScheme': 'name'}, {'subject': 'Glauberite', 'subjectScheme': 'name'}, {'subject': 'Anorthite', 'subjectScheme': 'name'}, {'subject': 'Bassanite', 'subjectScheme': 'name'}, {'subject': 'Calcite', 'subjectScheme': 'name'}, {'subject': 'Quartz_alpha', 'subjectScheme': 'name'}, {'subject': 'Blodite', 'subjectScheme': 'name'}, {'subject': 'Natron', 'subjectScheme': 'name'}, {'subject': 'Mirabilite', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'halide', 'subjectScheme': 'compound type'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'sulfate', 'subjectScheme': 'compound type'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'borate', 'subjectScheme': 'compound type'}]",['18 spectra'],['ASCII']
-10.5281/zenodo.10807437,Screening rural data sources,GRANULAR,2023,en,Text,Creative Commons Attribution 4.0 International,"This document presents an initial screening of datasets that are relevant to capture ruralÂ diversity and to create novel indicators for rural areas. Following a semi-structured format ofÂ discovery and evaluation, we have documented 90 different datasets to date which areÂ either already used to characterise rural areas, or could underpin novel indicators. InÂ addition to identifying the datasets themselves and their locations, we provide a suite ofÂ associated meta-data. Evaluating the findings of this effort, we demonstrate that the majorityÂ of the datasets identified have regional to global coverage, have Local Administrative UnitÂ to gridded (10m - 10km) granularity, are provided annually, are free and open and ofÂ moderate relevance in terms of indicator generation for rural areas. With the completion ofÂ this deliverable, exploration can begin on the development of the next generation of ruralÂ indicators.",api,True,findable,0,0,0,0,1,2024-03-14T14:29:41.000Z,2024-03-14T14:29:41.000Z,cern.zenodo,cern,"rural data,novel data,rural areas","[{'subject': 'rural data'}, {'subject': 'novel data'}, {'subject': 'rural areas'}]",,
-10.26302/sshade/experiment_ap_20210622_0001,Vis-NIR reflectance spectra of mixtures of Chelyabinsk light-colored lithology with impact melt or shock-darkened lithologies,SSHADE/UH-ApS (OSUG Data Center),2024,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Vis-NIR reflectance spectra of mixtures of Chelyabinsk light-colored lithology with impact melt or shock-darkened lithologies.,mds,True,findable,0,0,0,0,0,2024-03-14T12:39:46.000Z,2024-03-14T12:39:47.000Z,inist.sshade,mgeg,"laboratory measurement,diffuse reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor,Olivine Fa28,Orthopyroxene Fs23 Wo1,Plagioclase Ab86,Troilite,Kamacite,extraterrestrial,nesosilicate,inosilicate,tektosilicate,sulfide,metallic alloy,ordinary chondrite,LL","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'diffuse reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Olivine Fa28', 'subjectScheme': 'name'}, {'subject': 'Orthopyroxene Fs23 Wo1', 'subjectScheme': 'name'}, {'subject': 'Plagioclase Ab86', 'subjectScheme': 'name'}, {'subject': 'Troilite', 'subjectScheme': 'name'}, {'subject': 'Kamacite', 'subjectScheme': 'name'}, {'subject': 'extraterrestrial', 'subjectScheme': 'family'}, {'subject': 'nesosilicate', 'subjectScheme': 'compound type'}, {'subject': 'inosilicate', 'subjectScheme': 'compound type'}, {'subject': 'tektosilicate', 'subjectScheme': 'compound type'}, {'subject': 'sulfide', 'subjectScheme': 'compound type'}, {'subject': 'metallic alloy', 'subjectScheme': 'compound type'}, {'subject': 'ordinary chondrite', 'subjectScheme': 'meteorite group'}, {'subject': 'LL', 'subjectScheme': 'meteorite class'}]",['2 spectra'],['ASCII']
-10.15778/resif.3t2019,"France 2019, nodal seismic array in the RhÃ´ne Valley, DARE project - Preliminary campaign",RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2023,,Dataset,,"Preliminary campaign of the dense 400-node array carried out in Â the same area in 2020 (French-German DARE project). 30 all-in-one 3-component seismic nodes were deployed 3 months before the massive deployment (November 2019) for 2 weeks. These nodes recorded the Mw4.9 Le Teil earthquake (November 11, 2019) that occurred at about 20 km north of the 30-node network. Due to earthquake proximity and magnitude, the earthquake recordings are clipped on most of the stations.",fabrica,True,findable,0,0,1,1,0,2024-03-12T15:00:04.000Z,2024-03-12T15:01:27.000Z,inist.resif,vcob,"Seismic Hazard,Site Effects,Passive experiment,Le Teil Earthquake","[{'subject': 'Seismic Hazard'}, {'subject': 'Site Effects'}, {'subject': 'Passive experiment'}, {'subject': 'Le Teil Earthquake'}]","['30 stations, 42Go (miniseed format)']","['Miniseed data', 'stationXML metadata']"
-10.5281/zenodo.10827673,NeoGeographyToolkit/StereoPipeline: 2024-03-17-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,1,0,2024-03-17T16:32:36.000Z,2024-03-17T16:32:36.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10807438,Screening rural data sources,GRANULAR,2023,en,Text,Creative Commons Attribution 4.0 International,"This document presents an initial screening of datasets that are relevant to capture ruralÂ diversity and to create novel indicators for rural areas. Following a semi-structured format ofÂ discovery and evaluation, we have documented 90 different datasets to date which areÂ either already used to characterise rural areas, or could underpin novel indicators. InÂ addition to identifying the datasets themselves and their locations, we provide a suite ofÂ associated meta-data. Evaluating the findings of this effort, we demonstrate that the majorityÂ of the datasets identified have regional to global coverage, have Local Administrative UnitÂ to gridded (10m - 10km) granularity, are provided annually, are free and open and ofÂ moderate relevance in terms of indicator generation for rural areas. With the completion ofÂ this deliverable, exploration can begin on the development of the next generation of ruralÂ indicators.",api,True,findable,0,0,0,0,0,2024-03-14T14:29:41.000Z,2024-03-14T14:29:41.000Z,cern.zenodo,cern,"rural data,novel data,rural areas","[{'subject': 'rural data'}, {'subject': 'novel data'}, {'subject': 'rural areas'}]",,
-10.5281/zenodo.10812218,Disentangling the drivers of future Antarctic ice loss with a historically-calibrated ice-sheet model,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"=========================================================================Disentangling the drivers of future Antarctic ice loss with a historically-calibrated ice-sheet model=========================================================================
------------------------INTRODUCTION-----------------------
-This dataset contains the data and scripts required to reproduce the figures and tables presented in the study:""Disentangling the drivers of future Antarctic ice loss with a historically-calibrated ice-sheet model"" inÂ The Cryosphere.
-We perform an ensemble of simulations of the Antarctic ice sheet between 1950 and 3014, forced by a panel of CMIP6 climate models, starting from present-day geometry with the Kori-ULB ice-sheet model v0.9. We calibrate our ensemble in a Bayesian framework to produce observationally-calibrated Antarctic projections used to investigate the future trajectory of the Antarctic ice sheet related to uncertainties in the future balance between sub-shelf melting and ice discharge on the one hand, and the surface mass balance on the other. All simulations are performed at a spatial resolution of 16 km.
-Hindcasts of the behaviour of the AIS over the period 1950-2014 CE are reproduced using changes in oceanic and atmospheric boundary conditions derived from the CMIP5 climate model NorESM1-M. As of the year 2015 CE, climate projections derived from a subset of CMIP6 climate models (MRI-ESM2-0, IPSL-CM6A-LR, CESM2-WACCM and UKESM1-0-LL) are used as forcing until the year 2300 CE. Afterwards, no climate trend is applied. The forcing applied is derived from both the Shared Socioeconomic Pathways (SSP) 5-8.5 and 1-2.6 scenarios.Â 
-------------------------------PROVIDED SCRIPTS:Â ------------------------------
-Â - 'KoriModelAll.m' and 'KoriInputParams.m': Kori-ULB ice flow model (more info at https://github.com/FrankPat/Kori-ULB)Â - 'Compute_Bayesian_Weight.m': calculation of the ensemble likelihood weights used in the Bayesian calibration.Â - 'Plot_parameter_space_distributions.m': calculation and plots of prior and posterior parameter Â probability distributions.Â - 'Plot_sea_level_distributions.m': calculation and plots of prior and posterior sea-level distributions.Â - 'Plot_mass_balance_components_distributions.m': calculation and plots of mass balance components distributions.Â - 'Plot_mean_thickness_change.m': calculation and plots of calibrated mean thickness change.Â - 'Plot_ungrounded_probability.m': calculation and plots of the marginal probability of being ungrounded.Â - 'Plot_SMB_sensitivity.m': Calculation and plots of surface mass balance sensitivity.Â - 'run_MISMIPplus.m' and 'MISMIPplus.m': run and compare MISMIP+ experiment
--------------------------PROVIDED DATA:Â -------------------------
-
-'LHSensemble.mat': 100x9 matrices containing the values of the 100-member ensemble sampled (using maximin Latin Hypercube) within the parameter space in Table 1.
-
-1rst column ((:,1)) contains values of atmospheric present-day climatology (CLIMatm): MARv3.11 (1) - RACMOv2.3p2 (2)
-2nd column ((:,2)) contains values of oceanic present-day climatology (CLIMocn): Jourdain2020 (1) - Schmidtko2014 (2)
-3rd column ((:,3)) contains values of the atmospheric lapse rate (Â°C/km)
-4th column ((:,4)) contains values of the thickness of the thermally-active layer influencing surface refreezing (m)
-5th column ((:,5)) contains values of the contains values of the Degree day factor for the melting of ice (mm/PDD)
-6th column ((:,6)) contains values of the contains values of the Degree day factor for the melting of snow (mm/PDD)
-7th column ((:,7)) contains values of the applied Sub-shelf melt parameterisation: Quadratic-local Antarctic slope parameterisation (1) - PICO model (2) - Plume model (3) - ISMIP6 Nonlocal quadratic parameterisation (4) - ISMIP6 Nonlocal quadratic parameterisation including dependency on local slope (5)
-8th column ((:,8)) contains values of the effective ice-ocean heat flux: [0.1 x 10^-5 - 10 x 10^-5] m/s for gammaT* in PICO - [1 x 10^-4 - 10 x 10^-4] for Cd^1/2Gamma_TS in Plume - Â [1 x 10^-4 - 10 x 10^-4] for K in Quadratic-local Antarctic slope parameterisation - [1 x 10^4 - 4 x 10^4] m/yr for gamma0 in ISMIP6 Nonlocal quadratic parameterisation - [1 x 10^6 - 4 x 10^6] m/yr for gamma0 in ISMIP6 Nonlocal quadratic parameterisation with slope dependency
-9th column ((:,9)) contains values of the CMIP6 climate model applied for climate forcing: MRI-ESM2-0 (1) - UKESM1-0-LL (2) - CESM2-WACCM (3) - IPSL-CM6A-LR (4)'LHval' and 'LHS' contain the absolute values and the values of the parameters scaled linearly between 0 and 1 (0: minimum value, 1:maximum value) of the nine parameters, respectively.Â 
-'HIST_ENSEMBLE_DATA.mat' contains the following variables describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014).
-
-H_ensemble: 4D matrix of dimension [X, Y, snap_time, ensemble member] with ice thickness field (in meters) for the 100 ensemble members at different years (snap_time). X and Y represent spatial coordinates on a grid.
-MASK_ensemble: 4D matrix of dimension [X, Y, snap_time, ensemble member] with grounded mask field (in meters) for the 100 ensemble members at different years (snap_time). X and Y represent spatial coordinates on a grid.Â It distinguishes grounded ice (1: grounded) from ocean or floating ice (0: ocean/floating).
-mbcomp_ensemble: 3D matrix of dimension [time, mbcomp, ensemble member] with timeseries (yearly values at years time) of various mass balance components for the 100 ensemble members (in gigatons per year, Gt/yr).Â The components mbcomp include the following ice-sheet aggregated and grounded ice sheet components:Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  (1) Ice-sheet aggregated surface mass balanceÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (2) Ice-sheet aggregated accumulationÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (3) Ice-sheet aggregated surface meltÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (4) Ice-sheet aggregated runoffÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (5) Ice-sheet aggregated rainÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (6) sub-shelf meltÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (7) dynamic ice loss (calving)Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  (8) surface mass balance over the grounded ice sheetÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (9) accumulation over the grounded ice sheetÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (10) surface melt over the grounded ice sheetÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (11) runoff over the grounded ice sheetÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  (12) rain over the grounded ice sheet Â  Â  Â  Â  Â  Â Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  (13) Net mass balance (rate of HAF change)
-SLC_ensemble: 2D matrix of dimension [ensemble member, time] with timeseries (yearly values at years time) of the ice-sheet sea-level contribution (in m)Â Â 
-'HIST_ENSEMBLE_DATA_NO_ELEVATION_FEEDBACK.mat': same as 'HIST_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014) when neglecting the melt-elevation feedback.Â 
-'HIST_ENSEMBLE_DATA_HYDROFRAC.mat': same as 'HIST_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014) when including surface melt-driven hydrofracturing of the ice shelves (estimated following Pollard et al., 2015).Â 
-'CONTROL_ENSEMBLE_DATA.mat': contains the variables H_ensemble, MASK_ensemble, mbcomp_ensemble and SLC_ensemble (as in 'HIST_ENSEMBLE_DATA') describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 when considering constant present-day conditions as of the year 2015.Â 
-'SSP126_ENSEMBLE_DATA.mat': contains the variables H_ensemble, MASK_ensemble, mbcomp_ensemble and SLC_ensemble (as in 'HIST_ENSEMBLE_DATA') describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under a SSP1-2.6 scenario.Â 
-'SSP585_ENSEMBLE_DATA.mat': contains the variables H_ensemble, MASK_ensemble, mbcomp_ensemble and SLC_ensemble (as in 'HIST_ENSEMBLE_DATA') describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under a SSP5-8.5 scenario. It also contains the variable Runoff_ensemble, a 4D matrix of dimension [X, Y, snap_time, ensemble member] with surface runoff field (in m/yr i.e.) for the 100 ensemble members at different years (snap_time). X and Y represent spatial coordinates on a grid, as used in Fig. 7.Â 
-'SSP585_ENSEMBLE_DATA_NO_ELEVATION_FEEDBACK.mat': same as 'SSP585_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when neglecting the melt-elevation feedback.Â 
-'SSP585_ENSEMBLE_DATA_HYDROFRAC.mat': same as 'SSP585_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when including surface melt-driven hydrofracturing of the ice shelves (estimated following Pollard et al., 2015).Â 
-'SSP585_ENSEMBLE_DATA_ATM_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when considering constant oceanic present-day conditions as of the year 2015.Â 
-'SSP585_ENSEMBLE_DATA_NO_ELEVATION_FEEDBACK_ATM_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when neglecting the melt-elevation feedback and considering constant oceanic present-day conditions as of the year 2015.Â 
-'SSP585_ENSEMBLE_DATA_OCEAN_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario considering constant atmospheric present-day conditions as of the year 2015.Â 
-'HIST_ENSEMBLE_DATA_BASIN.mat' contains the following variables describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014) integrated over 27 drainage basins (http://imbie.org/imbie-2016/drainage-basins/).
-
-SLC_ensemble_basin: 3D matrix of dimension [basin, ensemble member, time] with timeseries (yearly values at years time) of the ice-sheet sea-level contribution (in m) by basin
-mbcomp_ensemble_basin: 4D matrix of dimension [basin, time, mbcomp, ensemble member] with timeseries (yearly values at years time) of various mass balance components for the 100 ensemble members (in gigatons per year, Gt/yr) by basin. The components mbcomp include the same ice-sheet aggregated and grounded ice-sheet components as in 'HIST_ENSEMBLE_DATA.mat'.Â 
-'HIST_ENSEMBLE_DATA_BASIN_NO_ELEVATION_DATA.mat': same as 'HIST_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014) when neglecting the melt-elevation feedback.Â 
-'HIST_ENSEMBLE_DATA_BASIN_HYDROFRAC.mat': same as 'HIST_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the historical period (1950-2014) when including surface melt-driven hydrofracturing of the ice shelves (estimated following Pollard et al., 2015).Â 
-'SSP126_ENSEMBLE_DATA_BASIN.mat': contains the variables SLC_ensemble_basin and mbcomp_ensemble_basin (as in 'HIST_ENSEMBLE_DATAÂ°BASIN') describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under a SSP1-2.6 scenario.Â 
-'SSP585_ENSEMBLE_DATA_BASIN.mat': contains the variables SLC_ensemble_basin and mbcomp_ensemble_basin (as in 'HIST_ENSEMBLE_DATA') describing the evolution of the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under a SSP5-8.5 scenario.Â 
-'SSP585_ENSEMBLE_DATA_BASIN_NO_ELEVATION_FEEDBACK.mat': same as 'SSP585_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under a SSP5-8.5 scenario when neglecting the melt-elevation feedback.Â 
-'SSP585_ENSEMBLE_DATA_BASIN_HYDROFRAC.mat': same as 'SSP585_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when including surface melt-driven hydrofracturing of the ice shelves (estimated following Pollard et al., 2015).Â 
-'SSP585_ENSEMBLE_DATA_BASIN_ATM_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when considering constant oceanic present-day conditions as of the year 2015.Â 
-'SSP585_ENSEMBLE_DATA_BASIN_NO_ELEVATION_FEEDBACK_ATM_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario when neglecting the melt-elevation feedback and considering constant oceanic present-day conditions as of the year 2015.Â 
-'SSP585_ENSEMBLE_DATA_BASIN_OCEAN_ONLY.mat': same as 'SSP585_ENSEMBLE_DATA_BASIN.mat' for the 100-member ensemble of simulations of the Antarctic ice sheet over the period 2015-3014 under an SSP5-8.5 scenario considering constant atmospheric present-day conditions as of the year 2015.Â 
-'GCM_SSPXXX_mean_aTs.mat': Timeseries of the regionally-averaged (between 90â€“60Â°S) annual near-surface (2-m) air temperature anomaly (Â°C) projected by the climate model 'GCM' from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) between 2015 and 2300 under the SSPXXX emission scenario, compared to the 1995-2014 reference period. SSPXXX may be 'SSP126' and 'SSP585' and GCM may be 'MRI-ESM2-0', 'CESM2-WACCM', 'IPSL-CM6A-LR', or 'UKESM1-0-LL'.Â 
-'CALIBRATION DATA.mat': values ('val'), uncertainty ('sigma'), beginning ('year1') and end ('year2') of the average time period of the 12 regionally and temporally aggregated IMBIE data used in the Bayesian calibration (Table 2 in this study, coming from Table 2 from Otosaka et al., 2023)Â 
-'INIT_MAR_aNorESM1-M_1950.mat' and 'INIT_RACMO_aNorESM1-M_1950.mat': Ice-sheet initial states at year 1950 obtained with the 1995-2014 atmospheric climatology from MARv3.11(Kittel eta l.,2021) or RACMOv2.3p2 (van Wessem et al., 2018), respectively, adjusted with a 1945-1955 anomaly from NorESM1-M. H is the ice thickness (in meters), B is the bedrock topography (in meters), and u is the surface velocity (in m/yr). These files were provided as input files to Kori-ULB to produce the projections. More info on the input files and their variables can be found here: https://github.com/FrankPat/Kori-ULB.
-----------------------------------------------------------MATLAB FUNCTIONS USED IN SCRIPTS:Â ----------------------------------------------------------
-- imagescn: imagesc with transparent NaNs, by Chad Greene (2023), downloaded from MATLAB Central File Exchange (https://www.mathworks.com/matlabcentral/fileexchange/61293-imagescn),Â - brewermap: provides all ColorBrewer colorschemes for MATLAB, by Stephen23. Downloaded from https://github.com/DrosteEffect/BrewerMap.- crameri: returns perceptually-uniform scientific colormaps created by Fabio Crameri (requires CrameriColourMaps8.0.mat)
-----------------------------------------------------------------------------------EXTERNAL DATA NOT CONTAINED IN THIS REPOSITORY:----------------------------------------------------------------------------------
-- BedMachine data used for the present-day grounding lines in Figures 2 and 7: It is BedMachine v2 (Morlighem et al., 2020) and can be found here: https://nsidc.org/data/nsidc-0756/versions/2.- The delineation of the 27 Zwally Basins used to identify and separate the West and East Antarctic ice sheets and the Antarctic Peninsula can be found at http://imbie.org/imbie-2016/drainage-basins/- Outputs from MAR(CNRM-CM6-1) and MAR(CESM2) used in Figures 7 and S10. The data can be downloaded at 10.5281/zenodo.4529004 and 10.5281/zenodo.4529002, respectively. It was then interpolated to the 16-km grid used by Kori-ULB.- CESM2-WACCM outputs used in Figure 7 were downloaded from the CMIP6 search interface (https://esgf-node.llnl.gov/search/cmip6/) and interpolated to the 16-km grid used by Kori-ULB.- The CMIP6 forcing data used in this study (and plotted in Figures S6 and S7) are accessible through the CMIP6 search interface (https://esgf-node.llnl.gov/search/cmip6/). They have been interpolated to the interpolated to the 16-km grid used by Kori-ULB.
----------------------REFERENCES:Â ---------------------
-Kittel, C., Amory, C., Agosta, C., Jourdain, N. C., Hofer, S., Delhasse, A., Doutreloup, S., Huot, P.-V., Lang, C., Fichefet, T., and Fettweis, X.: Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet, The Cryosphere, 15, 1215â€“1236, https://doi.org/10.5194/tc-15-1215-2021, 2021.
-Morlighem, M., Rignot, E., Binder, T. et al. Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet. Nat. Geosci. 13, 132â€“137 (2020). https://doi.org/10.1038/s41561-019-0510-8
-Otosaka, I. N., Shepherd, A., Ivins, E. R., Schlegel, N.-J., Amory, C., van den Broeke, M. R., Horwath, M., Joughin, I., King, M. D., Krinner, G., Nowicki, S., Payne, A. J., Rignot, E., Scambos, T., Simon, K. M., Smith, B. E., SÃ¸rensen, L. S., Velicogna, I., Whitehouse, P. L., A, G., Agosta, C., AhlstrÃ¸m, A. P., Blazquez, A., Colgan, W., Engdahl, M. E., Fettweis, X., Forsberg, R., GallÃ©e, H., Gardner, A., Gilbert, L., Gourmelen, N., Groh, A., Gunter, B. C., Harig, C., Helm, V., Khan, S. A., Kittel, C., Konrad, H., Langen, P. L., Lecavalier, B. S., Liang, C.-C., Loomis, B. D., McMillan, M., Melini, D., Mernild, S. H., Mottram, R., Mouginot, J., Nilsson, J., NoÃ«l, B., Pattle, M. E., Peltier, W. R., Pie, N., Roca, M., Sasgen, I., Save, H. V., Seo, K.-W., Scheuchl, B., Schrama, E. J. O., SchrÃ¶der, L., Simonsen, S. B., Slater, T., Spada, G., Sutterley, T. C., Vishwakarma, B. D., van Wessem, J. M., Wiese, D., van der Wal, W., and Wouters, B.: Mass balance of the Greenland and Antarctic ice sheets from 1992 to 2020, Earth Syst. Sci. Data, 15, 1597â€“1616, https://doi.org/10.5194/essd-15-1597-2023, 2023.
-Pollard, D., DeConto, R. M., and Alley, R. B.: Potential Antarctic Ice Sheet retreat driven by hydrofracturing and ice cliff failure, Earth and Planetary Science Letters, 412, 112â€“121, https://doi.org/10.1016/j.epsl.2014.12.035, 2015.Â van Wessem, J. M., van de Berg, W. J., NoÃ«l, B. P. Y., van Meijgaard, E., Amory, C., Birnbaum, G., Jakobs, C. L., KrÃ¼ger, K., Lenaerts, J. T. M., Lhermitte, S., Ligtenberg, S. R. M., Medley, B., Reijmer, C. H., van Tricht, K., Trusel, L. D., van Ulft, L. H., Wouters, B., Wuite, J., and van den Broeke, M. R.: Modelling the climate and surface mass balance of polar ice sheets using RACMO2 â€“ Part 2: Antarctica (1979â€“2016), The Cryosphere, 12, 1479â€“1498, https://doi.org/10.5194/tc-12-1479-2018, 2018.",api,True,findable,0,0,0,0,0,2024-03-15T13:42:36.000Z,2024-03-15T13:42:38.000Z,cern.zenodo,cern,"Ice-sheet modelling, Antarctic ice sheet, Sea-level projections","[{'subject': 'Ice-sheet modelling, Antarctic ice sheet, Sea-level projections'}]",,
-10.5281/zenodo.10824503,easystats/insight: insight 0.19.9,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"New supported models
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-Support for models of class serp (package serp).
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-General
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-standardize_names() now also recognizes column s.value from objects of
-package marginaleffects.
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-Bug fixes
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-Fixed issue in find_predictors() for models with splines (s()), where
-number of dimensions was indicated with a variable, not a number.
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-format_ci() now works for factors and character vectors again.
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-Fixed issues with latest release of tinytable.
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-Fixed issues with latest release of PROreg.",api,True,findable,0,0,0,1,0,2024-03-16T08:56:29.000Z,2024-03-16T08:56:29.000Z,cern.zenodo,cern,,,,
-10.18150/vbwcr1,Coherent imaging and dynamics of excitons in MoSe2 monolayers epitaxially grown on hexagonal boron nitride,RepOD,2024,,Dataset,,"The source data file for a publication:Â ""Coherent imaging and dynamics of excitons in MoSe2Â monolayers epitaxially grown on hexagonal boron nitride""..gwy and .asc files were created using Gwyddion 2.59 software, for more information see http://gwyddion.net/Abstract:Using four-wave mixing microscopy, we measure the coherent response and ultrafast dynamics of excitons and trions in MoSe2Â monolayers grown by molecular beam epitaxy on thin films of hexagonal boron nitride. We assess inhomogeneous and homogeneous broadenings in the transition spectral lineshape. The impact of phonons on the homogeneous dephasing is inferredÂ viaÂ the temperature dependence of the dephasing. Four-wave mixing mapping, combined with atomic force microscopy, reveals spatial correlations between exciton oscillator strength, inhomogeneous broadening and the sample morphology. The quality of the coherent optical response of epitaxially grown transition metal dichalcogenides now becomes comparable to the samples produced by mechanical exfoliation, enabling the coherent nonlinear spectroscopy of innovative materials, like magnetic layers or Janus semiconductors.",mds,True,findable,0,0,0,0,0,2024-01-05T10:19:33.000Z,2024-03-15T18:29:14.000Z,tib.repod,repod,,,,
-10.6084/m9.figshare.c.5523088,Variability of multi-omics profiles in a population-based child cohort,figshare,2021,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Multiple omics technologies are increasingly applied to detect early, subtle molecular responses to environmental stressors for future disease risk prevention. However, there is an urgent need for further evaluation of stability and variability of omics profiles in healthy individuals, especially during childhood. Methods We aimed to estimate intra-, inter-individual and cohort variability of multi-omics profiles (blood DNA methylation, gene expression, miRNA, proteins and serum and urine metabolites) measured 6â€‰months apart in 156 healthy children from five European countries. We further performed a multi-omics network analysis to establish clusters of co-varying omics features and assessed the contribution of key variables (including biological traits and sample collection parameters) to omics variability. Results All omics displayed a large range of intra- and inter-individual variability depending on each omics feature, although all presented a highest median intra-individual variability. DNA methylation was the most stable profile (median 37.6% inter-individual variability) while gene expression was the least stable (6.6%). Among the least stable features, we identified 1% cross-omics co-variation between CpGs and metabolites (e.g. glucose and CpGs related to obesity and type 2 diabetes). Explanatory variables, including age and body mass index (BMI), explained up to 9% of serum metabolite variability. Conclusions Methylation and targeted serum metabolomics are the most reliable omics to implement in single time-point measurements in large cross-sectional studies. In the case of metabolomics, sample collection and individual traits (e.g. BMI) are important parameters to control for improved comparability, at the study design or analysis stage. This study will be valuable for the design and interpretation of epidemiological studies that aim to link omics signatures to disease, environmental exposures, or both.",mds,True,findable,0,0,0,0,0,2021-07-22T03:27:05.000Z,2021-07-22T03:27:06.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.6084/m9.figshare.c.5005922,Impact of take-home messages written into slide presentations delivered during lectures on the retention of messages and the residentsâ€™ knowledge: a randomized controlled study,figshare,2020,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Lectures with slide presentations are widely used to teach evidence-based medicine to large groups. Take-home messages (THMs) are poorly identified and recollected by students. We investigated whether an instruction to list THMs in written form on slides would improve the retention thereof by residents, and the residentsâ€™ level of knowledge, 1Â month after lectures. Methods Prospective blinded randomized controlled study was conducted. Twelve lectures (6 control and 6 intervention lectures) were delivered to 73 residents. For the intervention lectures, the lecturers were instructed to incorporate clear written THMs into their slide presentations. The outcomes were ability of resident to recollect THMs delivered during a lecture (as assessed by accordance rate between the lecturersâ€™ and residentsâ€™ THMs) and knowledge (as assessed by multiple choice questions (MCQs)). Results Data for 3738 residentsâ€™ THMs and 3410 MCQs were analyzed. The intervention did not significantly increase the number of THMs written on slides (77% (nâ€‰=â€‰20/26), 95% CI 56â€“91 vs 64% (nâ€‰=â€‰18/28), 95% CI 44â€“81, pâ€‰=â€‰0.31) nor THMs retention (13% (nâ€‰=â€‰238/1791), 95% CI 12â€“15 vs 17% (nâ€‰=â€‰326/1947), 95% 15â€“18, pâ€‰=â€‰0.40) nor knowledge (63.8â€‰Â±â€‰26.2 vs 61.1â€‰Â±â€‰31.4 /100 points, pâ€‰=â€‰0.75). In multivariable analyses performed with all THMs written on slides from the two groups, a superior knowledge was associated with notetaking during lectures (OR 1.88, 95% CI 1.41â€“2.51) and THMs retention (OR 2.17, 95% CI 1.54â€“3.04); and THMs retention was associated with written THMs (OR 2.94, 95% CI 2.20â€“3.93). Conclusions In lectures delivered to residents, a third of the THMs were not in written form. An intervention based on an explicit instruction to lecturers to provide THMs in written form in their slide presentations did not result in increased use of written THMs into the slide presentation or improvement of the THMs retention or level of knowledge. However, we showed that there was a strong positive association between writing THMs on a slide, retention of THMs and residentsâ€™ knowledge. Further researches are needed to assess interventions to increase written THMs in lectures by faculty. Trial registration ClinicalTrials.gov NCT01795651 (Fev 21, 2013).",mds,True,findable,0,0,1,0,0,2020-06-04T03:54:26.000Z,2020-06-04T03:54:28.000Z,figshare.ars,otjm,"Medicine,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}]",,
-10.6084/m9.figshare.c.5105152,Epidural analgesia in ICU chest trauma patients with fractured ribs: retrospective study of pain control and intubation requirements,figshare,2020,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Nonintubated chest trauma patients with fractured ribs admitted to the intensive care unit (ICU) are at risk for complications and may require invasive ventilation at some point. Effective pain control is essential. We assessed whether epidural analgesia (EA) in patients with fractured ribs who were not intubated at ICU admission decreased the need for invasive mechanical ventilation (IMV). We also looked for risk factors for IMV. Study design and methods This retrospective, observational, multicenter study conducted in 40 ICUs in France included consecutive patients with three or more fractured ribs who were not intubated at admission between July 2013 and July 2015. Results Of the 974 study patients, 788 were included in the analysis of intubation predictors. EA was used in 130 (16.5%) patients, and 65 (8.2%) patients required IMV. Factors independently associated with IMV were chronic respiratory disease (Pâ€‰=â€‰0.008), worse SAPS II (Pâ€‰&lt;â€‰0.0001), flail chest (Pâ€‰=â€‰0.02), worse Injury Severity Score (Pâ€‰=â€‰0.0003), higher respiratory rate at admission (Pâ€‰=â€‰0.02), alcohol withdrawal syndrome (Pâ€‰&lt;â€‰0.001), and noninvasive ventilation (Pâ€‰=â€‰0.04). EA was not associated with decreases in IMV requirements, median numerical rating scale pain score, or intravenous morphine requirements from day 1 to day 7. Conclusions EA was not associated with a lower risk of IMV in chest trauma patients with at least 3 fractured ribs, moderate pain, and no intubation on admission. Further studies are needed to clarify the optimal pain control strategy in chest trauma patients admitted to the ICU, notably those with severe pain or high opioid requirements.",mds,True,findable,0,0,0,0,0,2020-08-28T04:01:44.000Z,2020-08-28T04:01:44.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Neuroscience,Immunology,FOS: Clinical medicine,Science Policy,Mental Health,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}]",,
-10.5281/zenodo.10852283,easystats/insight: insight 0.19.10,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"Bug fixes
-
-
-
-
-Functions like find_variables() or clean_names() now support multi-membership
-formulas for models from brms.
-
-
-
-Updated tests to work with the latest changes in glmmTMB 1.1.9.",api,True,findable,0,0,0,0,0,2024-03-22T07:55:32.000Z,2024-03-22T07:55:33.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.6077710,Ten actions to achieve gender equity among intensivists: the French Society of Intensive Care (FICS) model,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract In our recent survey, we aimed to collect information on perceived inequity as well as professional and personal fulfillment among women intensivists in France. For the 371 respondents out of the 732 persons who received the survey, the findings were unequivocal: for one-third of the respondents, being a woman was considered as an obstacle to careers or academic advancement, and for two thirds, pregnancy was viewed as a barrier to their career advancement. Gender discrimination had been experienced by 55% of the respondents. In 2019, to promote and achieve gender equity in the French Intensive Care Society (FICS), ten actions were initiated and are detailed in the present manuscript together with supporting data: (1) creation of a working group: the FEMMIR group; (2) promotion of mentorship; (3) implementation of concrete sponsorship; (4) transparency and public reporting of gender ratios in editorial boards; (5) workshops dedicated to unconscious gender bias; (6) workshops dedicated to improved women assertiveness; (7) role models; (8) creation of educational/information programs for young intensivists; (9) development of research on gender inequity and, as a perspective; and (10) development of a wide-ranging program. This review is aimed at providing a toolbox of organizational best practices designed to achieve gender equity. It is particularly important to share promising practical action engaged in our FEMMIR group with other concerned professionals around the world.",mds,True,findable,0,0,0,0,0,2022-07-04T09:24:16.000Z,2022-07-04T09:24:18.000Z,figshare.ars,otjm,"Biotechnology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",,
-10.5281/zenodo.10304165,3D CAD Assembly test models,Zenodo,2023,,Dataset,Creative Commons Attribution 4.0 International,"Set of 3D CAD assembly models in STEP AP 203 format.
-Assembly test models are devoted to evaluations of interfaces between components. The interfaces can be of type surface, rectilinear contacts, circular contacts, or punctual contacts.",api,True,findable,0,0,0,0,0,2024-03-21T15:09:14.000Z,2024-03-21T15:09:14.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10841356,serasset/dbnary: Release v3.1.15,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"Changelog
-
-d0900f1 Merge branch 'release/3.1.15'
-17813db Update versions for release
-889e503 cleanup(all): code style
-0b39033 fix(all): control chars stripping used the incorrect gnu syntax instead of java character class
-c398c95 fix(cicd): add gaelic and catalan in CICD verification
-3cf74aa fix(all): strip control chars arising from ill formed data in definitions and translations
-d87bce1 update(bliki): new version of bliki uses a luaj that is safe with suplementary chars, avoiding the generation of control (null) chars in some strings
-cc40f14 fix(english): Module:utilities uses the ugly strip marker hack, patch it
-1173526 fix(lua): Updated Bliki / Lua dependencies that fixes a bug with Strings with surrogates.
-6e390b8 fix(english): links in nyms are properly handled
-5ffc6b6 fix(english): capturing more nym relation with additional gloss/usage info
-184ffee fix(english): patching Module:place and Module:place/data due to error in lua code (remove when fixed in wiktionary)
-16d0885 fix(english): extracting senses that are abbreviation of something
-7fe4607 Update for next development version
-c8eda22 Merge branch 'release/3.1.14'
-d3a6e61 Merge branch 'release/3.1.14' into develop
-065f441 update(doc): License files span until 2024
-44a3319 Update versions for release
-ea78adb update(dependencies): bumping several dependencies to latest version
-e7c696c fix(spanish): FIX #138 part of speeches may now be given in templates
-73b46d6 update(dependencies): bumping several dependencies to latest version
-e18a149 fix(spanish): part of speeches may now be given in templates
-dbc059d fix(spanish): part of speeches may now be given in templates
-870130e Merge remote-tracking branch 'origin/develop' into develop
-9727442 fix(spanish): part of speeches may now be given in templates
-531f587 fix(spanish): part of speeches may now be given in templates
-5686259 fix(english): amend logging of derivation parser
-2989357 fix(virtuoso): use coherent naming for graphs (with no trailing /)
-df88474 fix(english): Correctly handling ja-usex template variants and redirects
-dbeb07f fix(maven): update scala libraries and compiler
-19f84ff fix(english): FIX #137 handling ja-usex template
-24956f3 fix(maven): update scala library
-81456a3 fix(virtuoso): the named graph for exolex should not finish with a trailing slach
-eb569d6 Clenup virtuoso.ini in production mode.
-f870b3b fix(dependencies): update bliki version
-40ece92 fix(scripts): allow sample size argument in local evaluation script
-e458b96 fix(english) use next bliki version (fix to php.loadPackage as used by japanese transcription programs)
-f3dafe0 Merge branch 'release/3.1.13'
-a103a2f Update versions for release
-72122e1 fix(catalan): error in pronunciation extraction
-3335c37 fix(catalan): many bibliographic references are blank
-d15df99 fix(dependencies): updated dependencies for security reasons
-771bfa2 fix(catalan): check given language before generating a lang string to avoid rdf errors.
-fe87545 fix(commands): add catalan and irish codes to the rotate virtuoso script
-9855eb3 Update for next development version
-5919911 Merge branch 'hotfix/3.1.12b' into develop
-54096e0 Update to hotfix version
-0077b4d Merge branch 'hotfix/3.1.12b'
-bcda578 fix(commands): do not generate HDT combined files anymore as it seems not to correctly work at least in English
-2286a94 enh(all): removed some code smells
-a865807 Update versions for hotfix
-2415121 fix(english): first attempt to extract pronunciations' locale information
-de6b6f3 fix(model): fixed lime:language as a measure property in statistics datacube
-5f5cd4f Update for next development version
-71438a9 Merge branch 'release/3.1.12'
-98c5887 Merge branch 'release/3.1.12' into develop
-fdb4d1d Update versions for release
-97df0a4 fix(extractor): added gaelic and catalan to default set of languages
-9902207 Merge branch 'feature/alet' into develop
-c2bafef Update versions for development branch
-d3accfe Bumping bliki version
-73eca1b Refactoring some var names.
-cf91bcf Extracting pronunciation dialect.
-116880d Patch infinite loop.
-07dba5f fix(catalan): changed bliki bundle message encoding
-d2461d1 Final commit for Catalan.
-dcc1127 commit stashed changes.
-0ea514d fix(catalan): added definition rendering
-9328c90 fix(gaelic): cleanup for code standards
-5d0362e Template args & exolex BIG check.
-e7d09d2 Big refactor, and finishing CA check.
-53318d1 Update for next development version
-58581fe Merge branch 'release/3.1.11' into develop
-376e686 Merge branch 'release/3.1.11'
-932175b Update versions for release
-eb2f760 fix(wikimodel): update bliki and taking into account the (now) correct management of the engine
-9922814 fix(maven/jreleaser): rollbacked problematic changes
-bd24918 Revert ""fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation""
-2aaefea fixed a doc error
-2b8e997 fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-37b81b3 Merge remote-tracking branch 'origin/master'
-b0561ea fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-52df665 fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-511a9dd fix(maven/jreleaser): rollbacked problematic changes
-e256104 Update for next development version
-9ee6432 Merge branch 'release/3.1.10'
-fe3f322 Merge branch 'release/3.1.10' into develop
-37962ef Update versions for release
-e2ec953 fix(serbo croatian): Fix #18: cyrilic form is now added to the canonical form
-19a5577 fix(german): Fix #24: now expand German definition using bliki
-326f2db fix(commands): catching StackOverflowError in extraction command lines
-2eef6e0 fix(commands): catching StackOverflowError in extraction command lines
-f9b9f24 fix(wikitext): fixed a stack overflow issue with large  wikitext
-de3b737 fix(no): translations extraction
-ce359a1 test(cicd): attempt using gitlab generic package upload
-f8b0bba cleanup(enhancement): simplifying test
-b00bb06 Merge branch 'release/3.1.9'
-abce2e2 Update versions for release
-73e2e9c fix(english): fix #128 some pronunciation where missing
-3e74edd fix(greek): avoiding a rare NPE in pronunciation extraction
-61acbe1 fix(virtuoso): normalized prod virtuoso config
-c32adee fix(all): Uses a Debug lua lig in case of call with lua classes trace enabled
-b747c58 fix(greek): updted scribunto to handle some greek edge case issues in Lua Modules
-eb71b54 fix(virtuoso) disabling the translatableAs linking SPARQL updatewq
-204d694 fix(virtuoso): allocate more memory to virtuoso bootstrap process
-c09b117 Merge branch 'develop'
-60240fe Update versions for release
-88e2f43 fix(extractor): updated scribunto and lua engine to cope with recently introduced errors from English Modules
-e419b1c Merge branch 'feature/struct-checker' into develop
-8846aad Update versions for development branch
-c49d088 fix(loading): re-enabling the vartrans translatableAs link creation for non homonymous translation targets
-1286a2d fix(english): better typing of Lexical Entries as Words, or MultiWordExpressions or Affixes
-83ddcef enhance(command): introducing a structure checking command that launch a language dependent class that is meant to perform some integrity checks on wiktionary pages structures
-33b4a1a enhancement(en) updated run conf
-525d756 fix(all) systematically removing safesubst from templates
-d53c000 cleanup(spanish) code style
-88949ac fix(spanish) fix a NPE in Spanish translation extractions
-4eab720 Merge branch 'release/3.1.7'
-5c67c6f Update versions for release
-b9de781 fix(german) added new vorname declination template extraction
-5c1d44a fix(german) incorrect declination filter for adjectives
-00fa112 Modified launch configuration
-4a6f073 fix(english) fixes notes extracted as derivations
-a3bb69d fix(german) better handling of Genus in Substantiv morphology
-095fea5 Merge branch 'hotfix/3.1.6-a'
-6620739 Update versions for hotfix
-7120e3e Merge branch 'hotfix/3.1.6_1'
-7b81c10 fix(french) checking language tag when creating example
-d2e6e52 fix(french) checking language tag when creating example
-89d83be Update versions for hotfix
-7ba4ba8 Merge branch 'release/3.1.6'
-c428ecc Update versions for release
-edc3018 fix(english) workaround several bugs in example extraction
-7aac67a fix(english) workaround a bug in bliki eval of English str left template
-31846a1 Merge branch 'release/3.1.5'
-2210fce Update versions for release
-2c4dfb4 enhance(english) first attempt in derivations extraction
-aa0c8b8 Merge branch 'release/3.1.4'
-f643f98 Update versions for release
-e7fe0ff Merge branch 'release/3.1.3'",api,True,findable,0,0,0,0,0,2024-03-19T22:52:13.000Z,2024-03-19T22:52:14.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10863196,easystats/performance: performance 0.11.0,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"New supported models
-
-
-
-Rudimentary support for models of class serp from package serp.
-
-
-New functions
-
-
-
-
-simulate_residuals() and check_residuals(), to simulate and check residuals
-from generalized linear (mixed) models. Simulating residuals is based on the
-DHARMa package, and objects returned by simulate_residuals() inherit from
-the DHARMa class, and thus can be used with any functions from the DHARMa
-package. However, there are also implementations in the performance package,
-such as check_overdispersion(), check_zeroinflation(), check_outliers()
-or check_model().
-
-
-
-Plots for check_model() have been improved. The Q-Q plots are now based
-on simulated residuals from the DHARMa package for non-Gaussian models, thus
-providing more accurate and informative plots. The half-normal QQ plot for
-generalized linear models can still be obtained by setting the new argument
-residual_type = ""normal"".
-
-
-
-Following functions now support simulated residuals (from simulate_residuals())
-resp. objects returned from DHARMa::simulateResiduals():
-
-
-
-check_overdispersion()
-
-check_zeroinflation()
-
-check_outliers()
-
-check_model()
-
-
-
-
-General
-
-
-
-
-Improved error messages for check_model() when QQ-plots cannot be created.
-
-
-
-check_distribution() is more stable for possibly sparse data.
-
-
-
-Bug fixes
-
-
-
-
-Fixed issue in check_normality() for t-tests.
-
-
-
-Fixed issue in check_itemscale() for data frame inputs, when factor_index
-was not a named vector.",api,True,findable,0,0,0,1,0,2024-03-23T08:06:58.000Z,2024-03-23T08:06:58.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.5814678,Clinical outcomes after treatment with direct antiviral agents: beyond the virological response in patients with previous HCV-related decompensated cirrhosis,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background In HCV-infected patients with advanced liver disease, the direct antiviral agents-associated clinical benefits remain debated. We compared the clinical outcome of patients with a previous history of decompensated cirrhosis following treatment or not with direct antiviral agents from the French ANRS CO22 HEPATHER cohort. Methods We identified HCV patients who had experienced an episode of decompensated cirrhosis. Study outcomes were all-cause mortality, liver-related or non-liver-related deaths, hepatocellular carcinoma, liver transplantation. Secondary study outcomes were sustained virological response and its clinical benefits. Results 559 patients met the identification criteria, of which 483 received direct antiviral agents and 76 remained untreated after inclusion in the cohort. The median follow-up time was 39.7 (IQR: 22.7â€“51) months. After adjustment for multivariate analysis, exposure to direct antiviral agents was associated with a decrease in all-cause mortality (HR 0.45, 95% CI 0.24â€“0.84, pâ€‰=â€‰0.01) and non-liver-related death (HR 0.26, 95% CI 0.08â€“0.82, pâ€‰=â€‰0.02), and was not associated with liver-related death, decrease in hepatocellular carcinoma and need for liver transplantation. The sustained virological response was 88%. According to adjusted multivariable analysis, sustained virological response achievement was associated with a decrease in all-cause mortality (HR 0.29, 95% CI 0.15â€“0.54, pâ€‰&lt;â€‰0.0001), liver-related mortality (HR 0.40, 95% CI 0.17â€“0.96, pâ€‰=â€‰0.04), non-liver-related mortality (HR 0.17, 95% CI 0.06â€“0.49, pâ€‰=â€‰0.001), liver transplantation (HR 0.17, 95% CI 0.05â€“0.54, pâ€‰=â€‰0.003), and hepatocellular carcinoma (HR 0.52, 95% CI 0.29â€“0.93, pâ€‰=â€‰0.03). Conclusion Treatment with direct antiviral agents is associated with reduced risk for mortality. The sustained virological response was 88%. Thus, direct antiviral agents treatment should be considered for any patient with HCV-related decompensated cirrhosis. Trial registration:Â ClinicalTrials.gov registry number: NCT01953458.",mds,True,findable,0,0,0,0,0,2022-01-28T04:30:42.000Z,2022-01-28T04:30:43.000Z,figshare.ars,otjm,"Space Science,Medicine,Biotechnology,Chemical Sciences not elsewhere classified,Immunology,FOS: Clinical medicine,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences,Virology,Computational Biology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",,
-10.6084/m9.figshare.c.5329928,Ability of procalcitonin to distinguish between bacterial and nonbacterial infection in severe acute exacerbation of chronic obstructive pulmonary syndrome in the ICU,figshare,2021,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background To assess the ability of procalcitonin (PCT) to distinguish between bacterial and nonbacterial causes of patients with severe acute exacerbation of COPD (AECOPD) admitted to the ICU, we conducted a retrospective analysis of two prospective studies including 375 patients with severe AECOPD with suspected lower respiratory tract infections. PCT levels were sequentially assessed at the time of inclusion, 6Â h after and at day 1, using a sensitive immunoassay. The patients were classified according to the presence of a documented bacterial infection (including bacterial and viral coinfection) (BACâ€‰+â€‰group), or the absence of a documented bacterial infection (i.e., a documented viral infection alone or absence of a documented pathogen) (BAC- group). The accuracy of PCT levels in predicting bacterial infection (BACâ€‰+â€‰group) vs no bacterial infection (BAC- group) at different time points was evaluated by receiver operating characteristic (ROC) analysis. Results Regarding the entire cohort (nâ€‰=â€‰375), at any time, the PCT levels significantly differed between groups (Kruskalâ€“Wallis test, pâ€‰&lt;â€‰0.001). A pairwise comparison showed that PCT levels were significantly higher in patients with bacterial infection (nâ€‰=â€‰94) than in patients without documented pathogens (nâ€‰=â€‰218) (pâ€‰&lt;â€‰0.001). No significant difference was observed between patients with bacterial and viral infection (nâ€‰=â€‰63). For example, the medianÂ PCT-H0 levels were 0.64Â ng/ml [0.22â€“0.87] in the bacterial group vs 0.24Â ng/ml [0.15â€“0.37] in the viral group and 0.16Â ng/mL [0.11â€“0.22] in the group without documented pathogens. With a c-index of 0.64 (95% CI; 0.58â€“0.71) at H0, 0.64 [95% CI 0.57â€“0.70] at H6 and 0.63 (95% CI; 0.56â€“0.69) at H24, PCT had a low accuracy for predicting bacterial infection (BACâ€‰+â€‰group). Conclusion Despite higher PCT levels in severe AECOPD caused by bacterial infection, PCT had a poor accuracy to distinguish between bacterial and nonbacterial infection. Procalcitonin might not be sufficient as a standalone marker for initiating antibiotic treatment in this setting.",mds,True,findable,0,0,0,0,0,2021-03-07T04:39:29.000Z,2021-03-07T04:39:30.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Biotechnology,Immunology,FOS: Clinical medicine,Science Policy,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",,
-10.6084/m9.figshare.c.4974425,Association of helicopter transportation and improved mortality for patients with major trauma in the northern French Alps trauma system: an observational study based on the TRENAU registry,figshare,2020,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Prompt prehospital triage and transportation are essential in an organised trauma system. The benefits of helicopter transportation on mortality in a physician-staffed pre-hospital trauma system remains unknown. The aim of the study was to assess the impact of helicopter transportation on mortality and prehospital triage. Methods Data collection was based on trauma registry for all consecutive major trauma patients transported by helicopter or ground ambulance in the Northern French Alps Trauma system between 2009 and 2017. The primary endpoint was in-hospital death. We performed multivariate logistic regression to compare death between helicopter and ground ambulance. Results Overall, 9458 major trauma patients were included. 37% (nâ€‰=â€‰3524) were transported by helicopter, and 56% (nâ€‰=â€‰5253) by ground ambulance. Prehospital time from the first call to the arrival at hospital was longer in the helicopter group compared to the ground ambulance group, respectively median time 95 [72â€“124] minutes and 85 [63â€“113] minutes (Pâ€‰&lt;â€‰0.001). Median transport time was similar between groups, 20â€‰min [13â€“30] for helicopter and 21â€‰min [14â€“32] for ground ambulance. Using multivariate logistic regression, helicopter was associated with reduced mortality compared to ground ambulance (adjusted OR 0.70; 95% CI, 0.53â€“0.92; Pâ€‰=â€‰0.01) and with reduced undertriage (OR 0.69 95% CI, 0.60â€“0.80; Pâ€‰&lt;â€‰0.001). Conclusion Helicopter was associated with reduced in-hospital death and undertriage by one third. It did not decrease prehospital and transport times in a system with the same crew using both helicopter or ground ambulance. The mortality and undertriage benefits observed suggest that the helicopter is the proper mode for long-distant transport to a regional trauma centre.",mds,True,findable,0,0,1,0,0,2020-05-13T03:38:14.000Z,2020-05-13T03:38:15.000Z,figshare.ars,otjm,"Medicine,Environmental Sciences not elsewhere classified,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Cancer,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",,
-10.6084/m9.figshare.c.5705595,Targeted high mean arterial pressure aggravates cerebral hemodynamics after extracorporeal resuscitation in swine,figshare,2021,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Extracorporeal cardiopulmonary resuscitation (E-CPR) is used for the treatment of refractory cardiac arrest. However, the optimal target to reach for mean arterial pressure (MAP) remains to be determined. We hypothesized that MAP levels critically modify cerebral hemodynamics during E-CPR and tested two distinct targets (65â€“75 vs 80â€“90Â mmHg) in a porcine model. Methods Pigs were submitted to 15Â min of untreated ventricular fibrillation followed by 30Â min of E-CPR. Defibrillations were then delivered until return of spontaneous circulation (ROSC). Extracorporeal circulation was initially set to an average flow of 40Â ml/kg/min. The dose of epinephrine was set to reach a standard or a high MAP target level (65â€“75 vs 80â€“90Â mmHg, respectively). Animals were followed during 120-min after ROSC. Results Six animals were included in both groups. During E-CPR, high MAP improved carotid blood flow as compared to standard MAP. After ROSC, this was conversely decreased in high versus standard MAP, while intra-cranial pressure was superior. The pressure reactivity index (PRx), which is the correlation coefficient between arterial blood pressure and intracranial pressure, also demonstrated inverted patterns of alteration according to MAP levels during E-CPR and after ROSC. In standard-MAP, PRx was transiently positive during E-CPR before returning to negative values after ROSC, demonstrating a reversible alteration of cerebral autoregulation during E-CPR. In high-MAP, PRx was negative during E-CPR but became sustainably positive after ROSC, demonstrating a prolonged alteration in cerebral autoregulation after ROSC. It was associated with a significant decrease in cerebral oxygen consumption in high- versus standard-MAP after ROSC. Conclusions During early E-CPR, MAP target above 80Â mmHg is associated with higher carotid blood flow and improved cerebral autoregulation. This pattern is inverted after ROSC with a better hemodynamic status with standard versus high-MAP.",mds,True,findable,0,0,0,0,0,2021-11-14T04:15:47.000Z,2021-11-14T04:15:49.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Biological Sciences not elsewhere classified","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Biological Sciences not elsewhere classified'}]",,
-10.6084/m9.figshare.c.5487977,Non-invasive ventilation versus high-flow nasal oxygen for postextubation respiratory failure in ICU: a post-hoc analysis of a randomized clinical trial,figshare,2021,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background In intensive care units (ICUs), patients experiencing post-extubation respiratory failure have poor outcomes. The use of noninvasive ventilation (NIV) to treat post-extubation respiratory failure may increase the risk of death. This study aims at comparing mortality between patients treated with NIV alternating with high-flow nasal oxygen or high-flow nasal oxygen alone. Methods Post-hoc analysis of a multicenter, randomized, controlled trial focusing on patients who experienced post-extubation respiratory failure within the 7Â days following extubation. Patients were classified in the NIV group or the high-flow nasal oxygen group according to oxygenation strategy used after the onset of post-extubation respiratory failure. Patients reintubated within the first hour after extubation and those promptly reintubated without prior treatment were excluded. The primary outcome was mortality at day 28 after the onset of post-extubation respiratory failure. Results Among 651 extubated patients, 158 (25%) experienced respiratory failure and 146 were included in the analysis. Mortality at day 28 was 18% (15/84) using NIV alternating with high-flow nasal oxygen and 29% (18/62) with high flow nasal oxygen alone (difference,â€‰âˆ’â€‰11% [95% CI,â€‰âˆ’â€‰25 to 2]; pâ€‰=â€‰0.12). Among the 46 patients with hypercapnia at the onset of respiratory failure, mortality at day 28 was 3% (1/33) with NIV and 31% (4/13) with high-flow nasal oxygen alone (difference,â€‰âˆ’â€‰28% [95% CI,â€‰âˆ’â€‰54 toâ€‰âˆ’â€‰6]; pâ€‰=â€‰0.006). The proportion of patients reintubated 48Â h after the onset of post-extubation respiratory failure was 44% (37/84) with NIV and 52% (32/62) with high-flow nasal oxygen alone (pâ€‰=â€‰0.21). Conclusions In patients with post-extubation respiratory failure, NIV alternating with high-flow nasal oxygen might not increase the risk of death. Trial registration number The trial was registered at http://www.clinicaltrials.gov with the registration number NCT03121482 the 20th April 2017.",mds,True,findable,0,0,0,0,0,2021-06-29T04:59:40.000Z,2021-06-29T04:59:40.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Marine Biology,Cancer,Infectious Diseases,FOS: Health sciences,Virology,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Marine Biology'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",,
-10.5281/zenodo.10837804,Pulpino Top-Level CW305,Zenodo,2023,en,Software,GNU General Public License v3.0 or later,"A set of instructions, files and utilities to use theÂ PULPINO RISC-V on a ChipWhisperer 305 FPGA.",api,True,findable,0,0,0,0,0,2024-03-19T10:37:15.000Z,2024-03-19T10:37:15.000Z,cern.zenodo,cern,"RISC-V,ChipWhisperer","[{'subject': 'RISC-V'}, {'subject': 'ChipWhisperer'}]",,
-10.5281/zenodo.10304164,A set of CAD assembly test models to evaluate component interfaces using CAD assembly modules,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Set of 3D CAD assembly models in STEP AP 203 format.
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-Assembly test models are devoted to evaluations of interfaces between components. The interfaces can be of type surface, rectilinear contacts, circular contacts, or punctual contacts.
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-The content and use of the test models are described into the pdf document: A set of CAD assembly test models to evaluate component interfaces using CAD assembly modules, available with the test models.
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-Â ",api,True,findable,0,0,0,0,2,2024-03-21T15:09:14.000Z,2024-03-21T15:09:14.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.6077576,Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter caseâ€“control computed tomography study,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background PEEP selection in severe COVID-19 patients under extracorporeal membrane oxygenation (ECMO) is challenging as no study has assessed the alveolar recruitability in this setting. The aim of the study was to compare lung recruitability and the impact of PEEP on lung aeration in moderate and severe ARDS patients with or without ECMO, using computed tomography (CT). Methods We conducted a two-center prospective observational caseâ€“control study in adult COVID-19-related patients who had an indication for CT within 72Â h of ARDS onset in non-ECMO patients or within 72 Â h after ECMO onset. Ninety-nine patients were included, of whom 24 had severe ARDS under ECMO, 59 severe ARDS without ECMO and 16 moderate ARDS. Results Non-inflated lung at PEEP 5 cmH2O was significantly greater in ECMO than in non-ECMO patients. Recruitment induced by increasing PEEP from 5 to 15 cmH2O was not significantly different between ECMO and non-ECMO patients, while PEEP-induced hyperinflation was significantly lower in the ECMO group and virtually nonexistent. The median [IQR] fraction of recruitable lung mass between PEEP 5 and 15 cmH2O was 6 [4â€“10]%. Total superimposed pressure at PEEP 5 cmH2O was significantly higher in ECMO patients and amounted to 12 [11â€“13] cmH2O. The hyperinflation-to-recruitment ratio (i.e., a trade-off index of the adverse effects and benefits of PEEP) was significantly lower in ECMO patients and was lower than one in 23 (96%) ECMO patients, 41 (69%) severe non-ECMO patients and 8 (50%) moderate ARDS patients. Compliance of the aerated lung at PEEP 5 cmH2O corrected for PEEP-induced recruitment (CBABY LUNG) was significantly lower in ECMO patients than in non-ECMO patients and was linearly related to the logarithm of the hyperinflation-to-recruitment ratio. Conclusions Lung recruitability of COVID-19 pneumonia is not significantly different between ECMO and non-ECMO patients, with substantial interindividual variations. The balance between hyperinflation and recruitment induced by PEEP increase from 5 to 15 cmH2O appears favorable in virtually all ECMO patients, while this PEEP level is required to counteract compressive forces leading to lung collapse. CBABY LUNG is significantly lower in ECMO patients, independently of lung recruitability.",mds,True,findable,0,0,0,0,0,2022-07-04T06:40:49.000Z,2022-07-04T06:40:54.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",,
-10.6084/m9.figshare.c.5657338,Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial,figshare,2021,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Acute respiratory distress syndrome (ARDS) is a severe complication of COVID-19 pneumonia, with a mortality rate amounting to 34â€“50% in moderate and severe ARDS, and is associated with prolonged duration of invasive mechanical ventilation. Such as in non-COVID ARDS, harmful mechanical ventilation settings might be associated with worse outcomes. Reducing the tidal volume down to 4â€‰mL kgâˆ’1 of predicted body weight (PBW) to provide ultra-low tidal volume ventilation (ULTV) is an appealing technique to minimize ventilator-inducted lung injury. Furthermore, in the context of a worldwide pandemic, it does not require any additional material and consumables and may be applied in low- to middle-income countries. We hypothesized that ULTV without extracorporeal circulation is a credible option to reduce COVID-19-related ARDS mortality and duration of mechanical ventilation. Methods The VT4COVID study is a randomized, multi-centric prospective open-labeled, controlled superiority trial. Adult patients admitted in the intensive care unit with COVID-19-related mild to severe ARDS defined by a PaO2/FiO2 ratio â‰¤ 150â€‰mmHg under invasive mechanical ventilation for less than 48â€‰h, and consent to participate to the study will be eligible. Patients will be randomized into two balanced parallels groups, at a 1:1 ratio. The control group will be ventilated with protective ventilation settings (tidal volume 6â€‰mL kgâˆ’1 PBW), and the intervention group will be ventilated with ULTV (tidal volume 4â€‰mL kgâˆ’1 PBW). The primary outcome is a composite score based on 90-day all-cause mortality as a prioritized criterion and the number of ventilator-free days at day 60 after inclusion. The randomization list will be stratified by site of recruitment and generated using random blocks of sizes 4 and 6. Data will be analyzed using intention-to-treat principles. Discussion The purpose of this manuscript is to provide primary publication of study protocol to prevent selective reporting of outcomes, data-driven analysis, and to increase transparency. Enrollment of patients in the study is ongoing. Trial registration ClinicalTrials.gov NCT04349618 . Registered on April 16, 2020",mds,True,findable,0,0,0,0,0,2021-10-12T03:37:53.000Z,2021-10-12T03:37:55.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Biotechnology,Cancer,Mental Health,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Computational Biology'}]",,
-10.6084/m9.figshare.c.5279142,Comparison between regional citrate anticoagulation and heparin for intermittent hemodialysis in ICU patients: a propensity score-matched cohort study,figshare,2021,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Regional citrate anticoagulation (RCA) is the gold standard of anticoagulation for continuous renal replacement therapy but is rarely used for intermittent hemodialysis (IHD) in ICU. Few studies assessed the safety and efficacy of RCA during IHD in ICU; however, no data are available comparing RCA to heparin anticoagulation, which are commonly used for IHD. The aim of this study was to assess the efficacy and safety of RCA compared to heparin anticoagulation during IHD. Methods This retrospective single-center cohort study included consecutive ICU patients treated with either heparin anticoagulation (unfractionated or low-molecular-weight heparin) or RCA for IHD from July to September in 2015 and 2017. RCA was performed with citrate infusion according to blood flow and calcium infusion by diffusive influx from dialysate. Using a propensity score analysis, as the primary endpoint we assessed whether RCA improved efficacy, quantified with Kt/V from the ionic dialysance, compared to heparin anticoagulation. The secondary endpoint was safety. Exploratory analyses were performed on the changes in efficacy and safety between the implementation period (2015) and at long term (2017). Results In total, 208 IHD sessions were performed in 56 patients and were compared (124 RCA and 84 heparin coagulation). There was no difference in Kt/V between RCA and heparin (0.95â€‰Â±â€‰0.38 vs. 0.89â€‰Â±â€‰0.32; pâ€‰=â€‰0.98). A higher number of circuit clotting (12.9% vs. 2.4%; pâ€‰=â€‰0.02) and premature interruption resulting from acute high transmembrane pressure (21% vs. 7%; pâ€‰=â€‰0.02) occurred in the RCA sessions compared to the heparin sessions. In the propensity score-matching analysis, RCA was associated with an increased risk of circuit clotting (absolute differencesâ€‰=â€‰0.10, 95% CI [0.03â€“0.18]; pâ€‰=â€‰0.008). There was no difference in efficacy and safety between the two time periods (2015 and 2017). Conclusion RCA with calcium infusion by diffusive influx from dialysate for IHD was easy to implement with stable long-term efficacy and safety but did not improve efficacy and could be associated with an increased risk of circuit clotting compared to heparin anticoagulation in non-selected ICU patients. Randomized trials to determine the best anticoagulation for IHD in ICU patients should be conducted in a variety of settings.",mds,True,findable,0,0,0,0,0,2021-01-23T04:29:23.000Z,2021-01-23T04:29:26.000Z,figshare.ars,otjm,"Space Science,Medicine,Biological Sciences not elsewhere classified,Mathematical Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",,
-10.5281/zenodo.10854246,"Data and codes for ""Chapter 16: Particle-laden gravity currents: the lock-release slumping regime at the laboratory scale""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"PALAGRAM Monograph
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-This repository contains the data used in the research paper:
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-Gadal C., Schneider J., Bonamy C., Chauchat J., Dossmann Y., Kiesgen de Richter S., Mercier M. J., Naaim-Bouvet F., Rastello M., and Lacaze L. Chapter 16: Particle-laden gravity currents: the lock-release slumping regime at the laboratory scale. Submitted to AGU Monograph.
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-  â””â”€â”€â”€data: data are stored here
-  â”‚   â””â”€â”€â”€input_data: input data as sent by everyone
-  â”‚       â””â”€â”€â”€ ... : NETCDF files
-  â”‚   â””â”€â”€â”€output_data: processed data output by analysis.py (also contains input_data)
-  â”‚       â””â”€â”€â”€ ... : NETCDF files
-  â””â”€â”€â”€analysis:
-      â””â”€â”€â”€analysis.py: analysis code, that reads input_data and writes output_data
-  â””â”€â”€â”€paper: contains source files for article
-  â”‚   â””â”€â”€â”€figures: contains source figures
-  â”‚       â””â”€â”€â”€ ... : PDF files
-  â”‚       â””â”€â”€â”€ figure_scripts: contains figure scripts that reads data in data/output_data and writes figures in paper/figures
-  â”‚            â””â”€â”€â”€ *.py : python scripts for figures
-  â”‚   â””â”€â”€â”€ ... : various files (.tex, .bib, ...)
-  â”‚   â””â”€â”€â”€ main.pdf : article preprint
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-The CSV file dataset_summary.csv offers a summary of all runs and corresponding experimental parameters, allowing for easier access to the data.
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-The folder data/output_data contains 287 netcdf4 files corresponding to each experimental run used in the paper. For each run, the structure of the NetCDF file is the following:
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-particle_type: particle type used (silica sand, glass beads, etc..)
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-label: filename
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-lab: lab where this run has been performed
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-run_oldID: Old filename, corresponding to the experimental notebook
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-author: author(s) that acquired this run
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-setup: setup used to acquire the data. See article.
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-dataset: Dataset classification of this run, See paper.
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-dimensions(sizes): time(n)
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-At(): Atwood number
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-Fr(): Froude number (adi. initial current velocity)
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-H0(): initial heavy fluid height inside the lock
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-H_a(): ambient fluid height outside the lock
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-L0(): streamwise lock length
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-L_1(): streamwise tank length after the lock
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-Re(): Reynolds number
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-S(): Settling number
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-St(): Stokes number
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-T_a(): ambient temperature
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-T_f(): heavy fluid temperature inside the lock
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-W0(): crossstream lock width
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-a(): lock aspect ratio
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-alpha(): bottom slope
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-d(): particle diameter
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-gprime(): specific gravity
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-lamb(): adi. attenuation parameter
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-nu_a(): ambient viscosity
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-nu_f(): heavy fluid lock viscosity
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-phi(): initial particle volume fraction inside the lock
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-rho_a(): ambient fluid density
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-rho_c(): heavy fluid mix density inside the lock
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-rho_f():
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-rho_p(): particle density
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-t('time',): time vector
-
-t0(): characteristic timescale, t0 = L0/u0
-
-u0(): characteristic velocity scale, u0 = sqrt(gprime*H0)
-
-vs(): particle Stokes velocity
-
-x_front('time',): front position vector
-
-
-
-
-Variables can sometimes possess the following attributes:
-
-
-
-unit: corresponding unit
-
-std: error(s) on the given quantity, calculated by error propagation from measurement uncertainties using the uncertainties module (https://pythonhosted.org/uncertainties/) in Python.
-
-comments: comments on the given quantity (definition, formulas, etc ..)
-
-
-
-
-Related works
-
-
-
-
-
-
-Gadal, C., Mercier, M. J., Rastello, M., & Lacaze, L. (2023). Slumping regime in lock-release turbidity currents. Journal of Fluid Mechanics, 974, A4. doi:10.1017/jfm.2023.762
-
-
-
-
-Gadal, C., Mercier, M., Rastello, M., & Lacaze, L. (2023). Data used in 'Slumping regime in lock-release turbidity currents' [Data set]. In Journal of Fluid Mechanics (Vol. 974, p. A4). Zenodo. https://doi.org/10.5281/zenodo.10058946
-
-
-
-
-Schneider, J., Dossmann, Y., Farges, O. et al. Investigation of particle laden gravity currents using the light attenuation technique. Exp Fluids, 64, 23 (2023). doi:10.1007/s00348-022-03562-y
-
-
-
-
-Chauchat, J., Cheng, Z., Nagel, T., Bonamy, C., and Hsu, T.-J. (2017) SedFoam-2.0: a 3-D two-phase flow numerical model for sediment transport, Geosci. Model Dev., 10, 4367-4392, doi:10.5194/gmd-10-4367-2017 and github",api,True,findable,0,0,0,0,1,2024-03-22T14:54:13.000Z,2024-03-22T14:54:14.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10864208,NeoGeographyToolkit/StereoPipeline: 2024-03-23-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,1,0,2024-03-23T17:35:01.000Z,2024-03-23T17:35:01.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.5673672,The mitochondrially-localized nucleoside diphosphate kinase D (NME4) is a novel metastasis suppressor,figshare,2021,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Mitochondrial nucleoside diphosphate kinase (NDPK-D, NME4, NM23-H4) is a multifunctional enzyme mainly localized in the intermembrane space, bound to the inner membrane. Results We constructed loss-of-function mutants of NDPK-D, lacking either NDP kinase activity or membrane interaction and expressed mutants or wild-type protein in cancer cells. In a complementary approach, we performed depletion of NDPK-D by RNA interference. Both loss-of-function mutations and NDPK-D depletion promoted epithelial-mesenchymal transition and increased migratory and invasive potential. Immunocompromised mice developed more metastases when injected with cells expressing mutant NDPK-D as compared to wild-type. This metastatic reprogramming is a consequence of mitochondrial alterations, including fragmentation and loss of mitochondria, a metabolic switch from respiration to glycolysis, increased ROS generation, and further metabolic changes in mitochondria, all of which can trigger pro-metastatic protein expression and signaling cascades. In human cancer, NME4 expression is negatively associated with markers of epithelial-mesenchymal transition and tumor aggressiveness and a good prognosis factor for beneficial clinical outcome. Conclusions These data demonstrate NME4 as a novel metastasis suppressor gene, the first localizing to mitochondria, pointing to a role of mitochondria in metastatic dissemination.",mds,True,findable,0,0,0,0,0,2021-10-22T04:03:25.000Z,2021-10-22T04:03:27.000Z,figshare.ars,otjm,"Biophysics,Biochemistry,Medicine,Cell Biology,Genetics,FOS: Biological sciences,Molecular Biology,Physiology,Immunology,FOS: Clinical medicine,Developmental Biology,Cancer,Hematology,Infectious Diseases,FOS: Health sciences,Computational Biology","[{'subject': 'Biophysics'}, {'subject': 'Biochemistry'}, {'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Molecular Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Hematology'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Computational Biology'}]",,
-10.5281/zenodo.10829894,silx-kit/silx: 2.0.1: 2024/03/18,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"This is a bug fix version.
-
-What's Changed
-
-
-
-silx.io.open: Reverted behavior: open locks HDF5 files (PR #4074, #4084)
-
-Dependencies: Updated to advertise that numpy v2 is not supported (PR #4084)
-
-
-Full Changelog: https://github.com/silx-kit/silx/compare/v2.0.0...v2.0.1",api,True,findable,0,0,0,0,0,2024-03-18T12:34:59.000Z,2024-03-18T12:35:00.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.5257892,Factors associated with survival of patients with solid Cancer alive after intensive care unit discharge between 2005 and 2013,figshare,2021,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background At intensive care unit (ICU) admission, the issue about prognosis of critically ill cancer patients is of clinical interest, especially after ICU discharge. Our objective was to assess the factors associated with 3- and 6-month survival of ICU cancer survivors. Methods Based on the French OutcomeReaâ„¢ database, we included solid cancer patients discharged alive, between December 2005 and November 2013, from the medical ICU of the university hospital in Grenoble, France. Patient characteristics and outcome at 3 and 6â€‰months following ICU discharge were extracted from available database. Results Of the 361 cancer patients with unscheduled admissions, 253 (70%) were discharged alive from ICU. The main primary cancer sites were digestive (31%) and thoracic (26%). The 3- and 6-month mortality rates were 33 and 41%, respectively. Factors independently associated with 6-month mortality included ECOG performance status (ECOG-PS) of 3â€“4 (OR,3.74; 95%CI: 1.67â€“8.37), metastatic disease (OR,2.56; 95%CI: 1.34â€“4.90), admission for cancer progression (OR,2.31; 95%CI: 1.14â€“4.68), SAPS II of 45 to 58 (OR,4.19; 95%CI: 1.76â€“9.97), and treatment limitation decision at ICU admission (OR,4.00; 95%CI: 1.64â€“9.77). Interestingly, previous cancer chemotherapy prior to ICU admission was independently associated with lower 3-month mortality (OR, 0.38; 95%CI: 0.19â€“0.75). Among patients with an ECOG-PS 0â€“1 at admission, 70% (nâ€‰=â€‰66) and 61% (nâ€‰=â€‰57) displayed an ECOG-PS 0â€“2 at 3- and 6-months, respectively. At 3â€‰months, 74 (55%) patients received anticancer treatment, 13 (8%) were given exclusive palliative care. Conclusions Factors associated with 6-month mortality are almost the same as those known to be associated with ICU mortality. We highlight that most patients recovered an ECOG-PS of 0â€“2 at 3 and 6â€‰months, in particular those with a good ECOG-PS at ICU admission and could benefit from an anticancer treatment following ICU discharge.",mds,True,findable,0,0,0,0,0,2021-01-06T04:30:50.000Z,2021-01-06T04:30:53.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Biotechnology,Chemical Sciences not elsewhere classified,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.6084/m9.figshare.c.5282401,Performance of the ROX index to predict intubation in immunocompromised patients receiving high-flow nasal cannula for acute respiratory failure,figshare,2021,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Delayed intubation is associated with high mortality. There is a lack of objective criteria to decide the time of intubation. We assessed a recently described combined oxygenation index (ROX index) to predict intubation in immunocompromised patients. The study is a secondary analysis of randomized trials in immunocompromised patients, including all patients who received high-flow nasal cannula (HFNC). The first objective was to evaluate the accuracy of the ROX index to predict intubation for patients with acute respiratory failure. Results In the study, 302 patients received HFNC. Acute respiratory failure was mostly related to pneumonia (nâ€‰=â€‰150, 49.7%). Within 2 (1â€“3) days, 115 (38.1%) patients were intubated. The ICU mortality rate was 27.4% (nâ€‰=â€‰83). At 6Â h, the ROX index was lower for patients who needed intubation compared with those who did not [4.79 (3.69â€“7.01) vs. 6.10 (4.48â€“8.68), pâ€‰&lt;â€‰0.001]. The accuracy of the ROX index to predict intubation was poor [AUCâ€‰=â€‰0.623 (0.557â€“0.689)], with low performance using the threshold previously found (4.88). In multivariate analysis, a higher ROX index was still independently associated with a lower intubation rate (ORâ€‰=â€‰0.89 [0.82â€“0.96], pâ€‰=â€‰0.04). Conclusion A ROX index greater than 4.88 appears to have a poor ability to predict intubation in immunocompromised patients with acute respiratory failure, although it remains highly associated with the risk of intubation and may be useful to stratify such risk in future studies.",mds,True,findable,0,0,0,0,0,2021-01-27T04:12:42.000Z,2021-01-27T04:12:46.000Z,figshare.ars,otjm,"Medicine,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology,Virology","[{'subject': 'Medicine'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}, {'subject': 'Virology'}]",,
-10.6084/m9.figshare.c.4968908,One-year survival in acute stroke patients requiring mechanical ventilation: a multicenter cohort study,figshare,2020,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Most prognostic studies in acute stroke patients requiring invasive mechanical ventilation are outdated and have limitations such as single-center retrospective designs. We aimed to study the association of ICU admission factors, including the reason for intubation, with 1-year survival of acute stroke patients requiring mechanical ventilation. Methods We conducted a secondary data use analysis of a prospective multicenter database (14 ICUs) between 1997 and 2016 on consecutive ICU stroke patients requiring mechanical ventilation at admission. We excluded patients with stroke of traumatic origin, subdural hematoma or cerebral venous thrombosis. The primary outcome was survival 1Â year after ICU admission. Factors associated with the primary outcome were identified using a multivariable Cox model stratified on inclusion center. Results We identified 419 patients (age 68 [58â€“76] years, males 60%) with a Glasgow coma score (GCS) of 4 [3â€“8] at admission. Stroke subtypes were acute ischemic stroke (AIS, 46%), intracranial hemorrhage (ICH, 42%) and subarachnoid hemorrhage (SAH, 12%). At 1Â year, 96 (23%) patients were alive. Factors independently associated with decreased 1-year survival were ICH and SAH stroke subtypes, a lower GCS score at admission, a higher non-neurological SOFA score. Conversely, patients receiving acute-phase therapy had improved 1-year survival. Intubation for acute respiratory failure or coma was associated with comparable survival hazard ratios, whereas intubation for seizure was not associated with a worse prognosis than for elective procedure. Survival did not improve over the study period, but patients included in the most recent period had more comorbidities and presented higher severity scores at admission. Conclusions In acute stroke patients requiring mechanical ventilation, the reason for intubation and the opportunity to receive acute-phase stroke therapy were independently associated with 1-year survival. These variables could assist in the decision process regarding the initiation of mechanical ventilation in acute stroke patients.",mds,True,findable,0,0,1,0,0,2020-05-08T04:01:32.000Z,2020-05-08T04:01:33.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",,
-10.5281/zenodo.10854247,"Data and codes for ""Chapter 16: Particle-laden gravity currents: the lock-release slumping regime at the laboratory scale""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"PALAGRAM Monograph
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-
-This repository contains the data used in the research paper:
-
-
-
-Gadal C., Schneider J., Bonamy C., Chauchat J., Dossmann Y., Kiesgen de Richter S., Mercier M. J., Naaim-Bouvet F., Rastello M., and Lacaze L. Chapter 16: Particle-laden gravity currents: the lock-release slumping regime at the laboratory scale. Submitted to AGU Monograph.
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-
-
-
-Repository organization
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-
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-  palagram_monograph
-  â”‚
-  â””â”€â”€â”€data: data are stored here
-  â”‚   â””â”€â”€â”€input_data: input data as sent by everyone
-  â”‚       â””â”€â”€â”€ ... : NETCDF files
-  â”‚   â””â”€â”€â”€output_data: processed data output by analysis.py (also contains input_data)
-  â”‚       â””â”€â”€â”€ ... : NETCDF files
-  â””â”€â”€â”€analysis:
-      â””â”€â”€â”€analysis.py: analysis code, that reads input_data and writes output_data
-  â””â”€â”€â”€paper: contains source files for article
-  â”‚   â””â”€â”€â”€figures: contains source figures
-  â”‚       â””â”€â”€â”€ ... : PDF files
-  â”‚       â””â”€â”€â”€ figure_scripts: contains figure scripts that reads data in data/output_data and writes figures in paper/figures
-  â”‚            â””â”€â”€â”€ *.py : python scripts for figures
-  â”‚   â””â”€â”€â”€ ... : various files (.tex, .bib, ...)
-  â”‚   â””â”€â”€â”€ main.pdf : article preprint
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-Â 
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-Data organization
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-The CSV file dataset_summary.csv offers a summary of all runs and corresponding experimental parameters, allowing for easier access to the data.
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-The folder data/output_data contains 287 netcdf4 files corresponding to each experimental run used in the paper. For each run, the structure of the NetCDF file is the following:
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-
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-attributes:
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-particle_type: particle type used (silica sand, glass beads, etc..)
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-label: filename
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-lab: lab where this run has been performed
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-run_oldID: Old filename, corresponding to the experimental notebook
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-author: author(s) that acquired this run
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-setup: setup used to acquire the data. See article.
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-dataset: Dataset classification of this run, See paper.
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-dimensions(sizes): time(n)
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-variables(dimensions):
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-At(): Atwood number
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-Fr(): Froude number (adi. initial current velocity)
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-H0(): initial heavy fluid height inside the lock
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-H_a(): ambient fluid height outside the lock
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-L0(): streamwise lock length
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-L_1(): streamwise tank length after the lock
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-Re(): Reynolds number
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-S(): Settling number
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-St(): Stokes number
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-T_a(): ambient temperature
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-T_f(): heavy fluid temperature inside the lock
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-W0(): crossstream lock width
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-a(): lock aspect ratio
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-alpha(): bottom slope
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-d(): particle diameter
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-gprime(): specific gravity
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-lamb(): adi. attenuation parameter
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-nu_a(): ambient viscosity
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-nu_f(): heavy fluid lock viscosity
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-phi(): initial particle volume fraction inside the lock
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-rho_a(): ambient fluid density
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-rho_c(): heavy fluid mix density inside the lock
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-rho_f():
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-rho_p(): particle density
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-t('time',): time vector
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-t0(): characteristic timescale, t0 = L0/u0
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-u0(): characteristic velocity scale, u0 = sqrt(gprime*H0)
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-vs(): particle Stokes velocity
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-x_front('time',): front position vector
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-
-
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-Variables can sometimes possess the following attributes:
-
-
-
-unit: corresponding unit
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-std: error(s) on the given quantity, calculated by error propagation from measurement uncertainties using the uncertainties module (https://pythonhosted.org/uncertainties/) in Python.
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-comments: comments on the given quantity (definition, formulas, etc ..)
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-
-
-
-Related works
-
-
-
-
-
-
-Gadal, C., Mercier, M. J., Rastello, M., & Lacaze, L. (2023). Slumping regime in lock-release turbidity currents. Journal of Fluid Mechanics, 974, A4. doi:10.1017/jfm.2023.762
-
-
-
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-Gadal, C., Mercier, M., Rastello, M., & Lacaze, L. (2023). Data used in 'Slumping regime in lock-release turbidity currents' [Data set]. In Journal of Fluid Mechanics (Vol. 974, p. A4). Zenodo. https://doi.org/10.5281/zenodo.10058946
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-Schneider, J., Dossmann, Y., Farges, O. et al. Investigation of particle laden gravity currents using the light attenuation technique. Exp Fluids, 64, 23 (2023). doi:10.1007/s00348-022-03562-y
-
-
-
-
-Chauchat, J., Cheng, Z., Nagel, T., Bonamy, C., and Hsu, T.-J. (2017) SedFoam-2.0: a 3-D two-phase flow numerical model for sediment transport, Geosci. Model Dev., 10, 4367-4392, doi:10.5194/gmd-10-4367-2017 and github",api,True,findable,0,0,0,1,0,2024-03-22T14:54:13.000Z,2024-03-22T14:54:13.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10852247,A set of CAD assembly test models to evaluate component interfaces using CAD assembly modules,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Set of 3D CAD assembly models in STEP AP 203 format.
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-Assembly test models are devoted to evaluations of interfaces between components. The interfaces can be of type surface, rectilinear contacts, circular contacts, or punctual contacts.
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-The content and use of the test models are described into the pdf document: A set of CAD assembly test models to evaluate component interfaces using CAD assembly modules, available with the test models.
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-Â ",api,True,findable,0,0,0,0,0,2024-03-22T08:28:20.000Z,2024-03-22T08:28:20.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.5453885,Mental health and stress among ICU healthcare professionals in France according to intensity of the COVID-19 epidemic,figshare,2021,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background We investigated the impact of the COVID-19 crisis on mental health of professionals working in the intensive care unit (ICU) according to the intensity of the epidemic in France. Methods This cross-sectional survey was conducted in 77 French hospitals from April 22 to May 13 2020. All ICU frontline healthcare workers were eligible. The primary endpoint was the mental health, assessed using the 12-item General Health Questionnaire. Sources of stress during the crisis were assessed using the Perceived Stressors in Intensive Care Units (PS-ICU) scale. Epidemic intensity was defined as high or low for each region based on publicly available data from SantÃ© Publique France. Effects were assessed using linear mixed models, moderation and mediation analyses. Results In total, 2643 health professionals participated; 64.36% in high-intensity zones. Professionals in areas with greater epidemic intensity were at higher risk of mental health issues (pâ€‰&lt;â€‰0.001), and higher levels of overall perceived stress (pâ€‰&lt;â€‰0.001), compared to low-intensity zones. Factors associated with higher overall perceived stress were female sex (Bâ€‰=â€‰0.13; 95% confidence interval [CI]â€‰=â€‰0.08â€“0.17), having a relative at risk of COVID-19 (Bâ€‰=â€‰0.14; 95%-CIâ€‰=â€‰0.09â€“0.18) and working in high-intensity zones (Bâ€‰=â€‰0.11; 95%-CIâ€‰=â€‰0.02â€“0.20). Perceived stress mediated the impact of the crisis context on mental health (Bâ€‰=â€‰0.23, 95%-CIâ€‰=â€‰0.05, 0.41) and the impact of stress on mental health was moderated by positive thinking, bâ€‰=â€‰âˆ’â€‰0.32, 95% CIâ€‰=â€‰âˆ’â€‰0.54, âˆ’â€‰0.11. Conclusion COVID-19 negatively impacted the mental health of ICU professionals. Professionals working in zones where the epidemic was of high intensity were significantly more affected, with higher levels of perceived stress. This study is supported by a grant from the French Ministry of Health (PHRC-COVID 2020).",mds,True,findable,0,0,0,0,0,2021-06-05T03:28:23.000Z,2021-06-05T03:28:24.000Z,figshare.ars,otjm,"Medicine,Biotechnology,Biological Sciences not elsewhere classified,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}]",,
-10.6084/m9.figshare.c.5999772,Impact of prolonged requirement for insulin on 90-day mortality in critically ill patients without previous diabetic treatments: a post hoc analysis of the CONTROLING randomized control trial,figshare,2022,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Stress hyperglycemia can persist during an intensive care unit (ICU) stay and result in prolonged requirement for insulin (PRI). The impact of PRI on ICU patient outcomes is not known. We evaluated the relationship between PRI and Day 90 mortality in ICU patients without previous diabetic treatments. Methods This is a post hoc analysis of the CONTROLING trial, involving 12 French ICUs. Patients in the personalized glucose control arm with an ICU length of stayâ€‰â‰¥â€‰5Â days and who had never previously received diabetic treatments (oral drugs or insulin) were included. Personalized blood glucose targets were estimated on their preadmission usual glycemia as estimated by their glycated A1c hemoglobin (HbA1C). PRI was defined by insulin requirement. The relationship between PRI on Day 5 and 90-day mortality was assessed by Cox survival models with inverse probability of treatment weighting (IPTW). Glycemic control was defined as at least one blood glucose value below the blood glucose target value on Day 5. Results A total of 476 patients were included, of whom 62.4% were male, with a median age of 66 (54â€“76) years. Median values for SAPS II and HbA1C were 50 (37.5â€“64) and 5.7 (5.4â€“6.1)%, respectively. PRI was observed in 364/476 (72.5%) patients on Day 5. 90-day mortality was 23.1% in the whole cohort, 25.3% in the PRI group and 16.1% in the non-PRI group (pâ€‰&lt;â€‰0.01). IPTW analysis showed that PRI on Day 5 was not associated with DayÂ 90 mortality (IPTWHRâ€‰=â€‰1.22; CI 95% 0.84â€“1.75; pâ€‰=â€‰0.29), whereas PRI without glycemic control was associated with an increased risk of death at Day 90 (IPTWHRâ€‰=â€‰3.34; CI 95% 1.26â€“8.83; pâ€‰&lt;â€‰0.01). Conclusion In ICU patients without previous diabetic treatments, only PRI without glycemic control on Day 5 was associated with an increased risk of death. Additional studies are required to determine the factors contributing to these results.",mds,True,findable,0,0,0,0,0,2022-05-17T06:14:08.000Z,2022-05-17T06:14:09.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Physiology,Pharmacology,Biotechnology,Chemical Sciences not elsewhere classified,Infectious Diseases,FOS: Health sciences,Virology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Physiology'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}]",,
-10.5281/zenodo.10782399,Bounding the contribution of leads to sea spray aerosol in the high Arctic,Zenodo,2024,,Model,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2024-03-20T17:38:13.000Z,2024-03-20T17:38:13.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.c.5013470,Mucormycosis in intensive care unit: surgery is a major prognostic factor in patients with hematological malignancy,figshare,2020,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Mucormycosis is an invasive fungal infection, with an increasing incidence especially in patients with hematological malignancies. Its prognosis is poor because of its high invasive power and its intrinsic low susceptibility to antifungal agents. We aimed to describe the epidemiology of mucormycosis in intensive care units (ICU) and evaluate the outcomes. We performed a retrospective multi-center study in 16 French ICUs between 2008 and 2017. We compared the patients who survived in ICU and the patients who did not to identify factors associated with ICU survival. Then, we focused on the subgroup of patients with hematological malignancies. Results Mucormycosis was diagnosed in 74 patients during the study period. Among them, 60 patients (81%) were immunocompromised: 41 had hematological malignancies, 9 were solid organ transplant recipients, 31 received long-term steroids, 11 had diabetes, 24 had malnutrition. Only 21 patients survived to ICU stay (28.4%) with a median survival of 22Â days (Q1â€“Q3â€‰=â€‰9â€“106) and a survival rate at day 28 and day 90, respectively, of 35.1% and 26.4%. Survivors were significantly younger (pâ€‰=â€‰0.001), with less frequently hematological malignancies (pâ€‰=â€‰0.02), and less malnutrition (pâ€‰=â€‰0.05). Median survival in patients with hematological malignancies (nâ€‰=â€‰41) was 15Â days (Q1â€“Q3â€‰=â€‰5â€“23.5Â days). In this subgroup, curative surgery was a major factor associated with survival in multivariate analysis (odds ratioâ€‰=â€‰0.71, [0.45â€“0.97], pâ€‰&lt;â€‰0.001). Conclusion Overall prognosis of mucormycosis in ICU remains poor, especially in patients with hematological malignancies. In this subgroup of patients, a therapeutic strategy including curative surgery was the main factor associated with survival.",mds,True,findable,0,0,1,0,0,2020-06-09T08:09:44.000Z,2020-06-09T08:09:44.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Biotechnology,Biological Sciences not elsewhere classified,Cancer,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",,
-10.6084/m9.figshare.c.5394711,Rare deleterious mutations of HNRNP genes result in shared neurodevelopmental disorders,figshare,2021,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background With the increasing number of genomic sequencing studies, hundreds of genes have been implicated in neurodevelopmental disorders (NDDs). The rate of gene discovery far outpaces our understanding of genotypeâ€“phenotype correlations, with clinical characterization remaining a bottleneck for understanding NDDs. Most disease-associated Mendelian genes are members of gene families, and we hypothesize that those with related molecular function share clinical presentations. Methods We tested our hypothesis by considering gene families that have multiple members with an enrichment of de novo variants among NDDs, as determined by previous meta-analyses. One of these gene families is the heterogeneous nuclear ribonucleoproteins (hnRNPs), which has 33 members, five of which have been recently identified as NDD genes (HNRNPK, HNRNPU, HNRNPH1, HNRNPH2, and HNRNPR) and two of which have significant enrichment in our previous meta-analysis of probands with NDDs (HNRNPU and SYNCRIP). Utilizing protein homology, mutation analyses, gene expression analyses, and phenotypic characterization, we provide evidence for variation in 12 HNRNP genes as candidates for NDDs. Seven are potentially novel while the remaining genes in the family likely do not significantly contribute to NDD risk. Results We report 119 new NDD cases (64 de novo variants) through sequencing and international collaborations and combined with published clinical case reports. We consider 235 cases with gene-disruptive single-nucleotide variants or indels and 15 cases with small copy number variants. Three hnRNP-encoding genes reach nominal or exome-wide significance for de novo variant enrichment, while nine are candidates for pathogenic mutations. Comparison of HNRNP gene expression shows a pattern consistent with a role in cerebral cortical development with enriched expression among radial glial progenitors. Clinical assessment of probands (nâ€‰=â€‰188â€“221) expands the phenotypes associated with HNRNP rare variants, and phenotypes associated with variation in the HNRNP genes distinguishes them as a subgroup of NDDs. Conclusions Overall, our novel approach of exploiting gene families in NDDs identifies new HNRNP-related disorders, expands the phenotypes of known HNRNP-related disorders, strongly implicates disruption of the hnRNPs as a whole in NDDs, and supports that NDD subtypes likely have shared molecular pathogenesis. To date, this is the first study to identify novel genetic disorders based on the presence of disorders in related genes. We also perform the first phenotypic analyses focusing on related genes. Finally, we show that radial glial expression of these genes is likely critical during neurodevelopment. This is important for diagnostics, as well as developing strategies to best study these genes for the development of therapeutics.",mds,True,findable,0,0,0,0,0,2021-04-20T03:40:15.000Z,2021-04-20T03:40:17.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.6084/m9.figshare.c.5129698,Association between Neu5Gc carbohydrate and serum antibodies against it provides the molecular link to cancer: French NutriNet-SantÃ© study,figshare,2020,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background High consumption of red and processed meat is commonly associated with increased cancer risk, particularly colorectal cancer. Antibodies against the red meat-derived carbohydrate N-glycolylneuraminic acid (Neu5Gc) exacerbate cancer in â€œhuman-likeâ€ mice. Human anti-Neu5Gc IgG and red meat are both independently proposed to increase cancer risk, yet how diet affects these antibodies is largely unknown. Methods We used world global data to demonstrate that colorectal cancer incidence and mortality are associated with increased national meat consumption. In a well-defined large cohort, we used glycomics to measure daily Neu5Gc intake from red meat and dairy, and investigated serum as well as affinity-purified anti-Neu5Gc antibodies. Based on 24-h dietary records, daily Neu5Gc intake was calculated for 19,621 subjects aged â‰¥â€‰18â€‰years of the NutriNet-SantÃ© study. Serum and affinity-purified anti-Neu5Gc antibodies were evaluated by ELISA and glycan microarrays in representative 120 individuals, each with at least eighteen 24-h dietary records (aged 45â€“60, Q1â€“Q4; aged &gt;â€‰60, Q1 and Q4; 10 men/women per quartile). Results We found that high-Neu5Gc diet, gender, and age affect the specificity, levels, and repertoires of anti-Neu5Gc IgG immune responses, but not their affinity. Men consumed more Neu5Gc than women, mostly from red meat (pâ€‰=â€‰0.0015), and exhibited higher overall serum anti-Neu5Gc IgG levels by ELISA (3.94â€‰ng/Î¼l versus 2.22â€‰ng/Î¼l, respectively; pâ€‰=â€‰0.039). Detailed glycan microarray analysis against 56 different glycans revealed high Neu5Gc-specificity with increased anti-Neu5Gc IgG and altered repertoires, associated with higher consumption of Neu5Gc from red meat and cow dairy. Affinity purification of serum anti-Neu5Gc antibodies revealed increased levels and biased array repertoire patterns, without an increase in antibody affinity, in individuals consuming higher Neu5Gc levels. Furthermore, in a high-meat diet, antibody diversity patterns on glycan microarrays shifted towards Neu5GcÎ±3-linked glycans, increasing the Î±3/Î±6-glycans ratio score. Conclusions We found a clear link between the levels and repertoire of serum anti-Neu5Gc IgG and Neu5Gc intake from red meat and dairy. These precise rational methodologies allowed to develop a Gcemic index to simplify the assessment of Neu5Gc in foods that could potentially be adapted for dietary recommendations to reduce cancer risk.",mds,True,findable,0,0,0,0,0,2020-09-23T03:27:16.000Z,2020-09-23T03:27:17.000Z,figshare.ars,otjm,"Biochemistry,Neuroscience,Physiology,FOS: Biological sciences,Biotechnology,Chemical Sciences not elsewhere classified,Ecology,Immunology,FOS: Clinical medicine,Mathematical Sciences not elsewhere classified,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Biochemistry'}, {'subject': 'Neuroscience'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Ecology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Mathematical Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.6084/m9.figshare.c.5114735,Expert consensus-based clinical practice guidelines management of intravascular catheters in the intensive care unit,figshare,2020,,Collection,Creative Commons Attribution 4.0 International,"Abstract The French Society of Intensive Care Medicine (SRLF), jointly with the French-Speaking Group of Paediatric Emergency Rooms and Intensive Care Units (GFRUP) and the French-Speaking Association of Paediatric Surgical Intensivists (ADARPEF), worked out guidelines for the management of central venous catheters (CVC), arterial catheters and dialysis catheters in intensive care unit. For adult patients: Using GRADE methodology, 36 recommendations for an improved catheter management were produced by the 22 experts. Recommendations regarding catheter-related infectionsâ€™ prevention included the preferential use of subclavian central vein (GRADE 1), a one-step skin disinfection(GRADE 1) using 2% chlorhexidine (CHG)-alcohol (GRADE 1), and the implementation of a quality of care improvement program. Antiseptic- or antibiotic-impregnated CVC should likely not be used (GRADE 2, for children and adults). Catheter dressings should likely not be changed before the 7th day, except when the dressing gets detached, soiled or impregnated with blood (GRADE 2âˆ’ adults). CHG dressings should likely be used (GRADE 2+). For adults and children, ultrasound guidance should be used to reduce mechanical complications in case of internal jugular access (GRADE 1), subclavian access (Grade 2) and femoral venous, arterial radial and femoral access (Expert opinion). For children, an ultrasound-guided supraclavicular approach of the brachiocephalic vein was recommended to reduce the number of attempts for cannulation and mechanical complications. Based on scarce publications on diagnostic and therapeutic strategies and on their experience (expert opinion), the panel proposed definitions, and therapeutic strategies.",mds,True,findable,0,0,0,0,0,2020-09-08T03:45:47.000Z,2020-09-08T03:45:49.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Environmental Sciences not elsewhere classified,Biological Sciences not elsewhere classified,Marine Biology,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Marine Biology'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,
-10.6084/m9.figshare.c.5226946,Impact of advance directives on the variability between intensivists in the decisions to forgo life-sustaining treatment,figshare,2020,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background There is wide variability between intensivists in the decisions to forgo life-sustaining treatment (DFLST). Advance directives (ADs) allow patients to communicate their end-of-life wishes to physicians. We assessed whether ADs reduced variability in DFLSTs between intensivists. Methods We conducted a multicenter, prospective, simulation study. Eight patients expressed their wishes in ADs after being informed about DFLSTs by an intensivist-investigator. The participating intensivists answered ten questions about the DFLSTs of each patient in two scenarios, referring to patientsâ€™ characteristics without ADs (round 1) and then with (round 2). DFLST score ranged from 0 (no-DFLST) to 10 (DFLST for all questions). The main outcome was variability in DFLSTs between intensivists, expressed as relative standard deviation (RSD). Results A total of 19,680 decisions made by 123 intensivists from 27 ICUs were analyzed. The DFLST score was higher with ADs than without (6.02 95% CI [5.85; 6.19] vs 4.92 95% CI [4.75; 5.10], pâ€‰&lt;â€‰0.001). High inter-intensivist variability did not change with ADs (RSD: 0.56 (round 1) vs 0.46 (round 2), pâ€‰=â€‰0.84). Inter-intensivist agreement on DFLSTs was weak with ADs (intra-class correlation coefficient: 0.28). No factor associated with DFLSTs was identified. A qualitative analysis of ADs showed focus on end-of-life wills, unwanted things and fear of pain. Conclusions ADs increased the DFLST rate but did not reduce variability between the intensivists. In the decision-making process using ADs, the intensivistâ€™s decision took priority. Further research is needed to improve the matching of the physiciansâ€™ decision with the patientâ€™s wishes. Trial registration ClinicalTrials.gov Identifier: NCT03013530. Registered 6 January 2017; https://clinicaltrials.gov/ct2/show/NCT03013530 .",mds,True,findable,0,0,0,0,0,2020-12-03T04:34:09.000Z,2020-12-03T04:34:14.000Z,figshare.ars,otjm,"Cell Biology,Biotechnology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",,
-10.5281/zenodo.10782398,Bounding the contribution of leads to sea spray aerosol in the high Arctic,Zenodo,2024,,Model,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,1,2024-03-20T17:38:13.000Z,2024-03-20T17:38:13.000Z,cern.zenodo,cern,,,,
-10.15778/resif.4g2007,EMSO-Azores Ocean Bottom Seismometer Data,RESIF - RÃ©seau Sismologique et gÃ©odÃ©sique FranÃ§ais,2024,en,Dataset,"OpenAccess,Creative Commons Attribution 4.0 International","This dataset contains seismological data from 5 ocean bottom seismometer stations in a 7-8 km aperture around Lucky Strike volcano from 2007 to present. Stations are collected using yearly deployments of mostly short-period seismometers, but one station per year may be a broadband instrument. The central instrument is collocated with the SeaMoN (Seafloor Monitoring Node) West of the EMSO-Azores facility",mds,True,findable,0,0,0,0,0,2024-03-29T08:11:10.000Z,2024-03-29T08:11:19.000Z,inist.resif,vcob,"(keywords),EMSO-France,EMSO-Azores,Ocean Bottom Seismometer,Mid-Oceanic Ridge Volcano,Hydrothermal Vents,Pressure sensor (hydrophone),Geophone,Broadband seismometer,SeaMoN","[{'subject': '(keywords)'}, {'subject': 'EMSO-France'}, {'subject': 'EMSO-Azores'}, {'subject': 'Ocean Bottom Seismometer'}, {'subject': 'Mid-Oceanic Ridge Volcano'}, {'subject': 'Hydrothermal Vents'}, {'subject': 'Pressure sensor (hydrophone)'}, {'subject': 'Geophone'}, {'subject': 'Broadband seismometer'}, {'subject': 'SeaMoN'}]",,"['MSEED', 'stationXML data']"
-10.5281/zenodo.10868304,Supplementary data to Frasson et al. 2024,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"Supplementary data and code for Frasson et al. 2024Â  accepted for publication in Solid Earth. The data consist of full snapshots of the geoids, topography, CMB heat flux, and composition at the CMB for the six cases of the study; the PCA outputs for the six cases; and movies showing the time evolutions of the outputs in the mantle convection models. The scripts can be ran on the snapshots to compute the principal component analysis (PCA) and the true polar wander (TPW).
-
-Â 
-
-The full snapshots are given in HDF5 format, with one file per time step. They can be found in the archives MF.zip and MC.zip for the MF model and the MC model respectively. The files contain:
-
-
-
-The fields in the physical space. The first coordinate is the latitude, the second coordinate is the longitude (dataset ""data"").
-
-The latitudes and longitudes associated with the fields (datasets ""latitude"" and ""longitude"").
-
-Some information regarding the snapshots (attributes ""Time (Myr)"", ""Model"", ""Case"", ""Correction"", and ""Unit"").
-
-
-The files are called ""name_xxxx.h5"", where xxxx stands for the time in Myr before the end of the simulation.The names of the files are:
-
-
-
-qcmb: CMB heat flux
-
-geoid: Total geoid
-
-geoid_nolvv: No LVVs geoid
-
-topo: Topography
-
-prim: Composition at the CMB
-
-
-Â 
-
-The PCA outputs are given in HDF5 format. Each file has an ""outputs"" and a ""grid"" group. The ""outputs"" section gives:
-
-
-
-The average heat flux pattern. The first coordinate is the latitude, the second coordinate is the longitude (dataset ""average"").
-
-The list of patterns for each PCA component in physical space. The first coordinate is the latitude, the second coordinate is the longitude (dataset ""pattern"").
-
-The time-dependent weight of the components. The first coordinate is the time, the second coordinate is the component number (dataset ""weights"").
-
-The singular values of the componentsÂ  (dataset ""singular values"").
-
-The time in Myr (dataset ""Time"").
-
-The component numbers (dataset ""components"").
-
-
-The ""grid"" group gives the latitudes (dataset ""latitude"") and the longitudes (dataset ""longitude"") associated with the patterns.
-
-Â 
-
-Description of the movies:
-
-
-
-outputs_MF: As in Fig. 2 in Frasson et al. 2024.
-
-outputs_MC: As in Fig. 3 in Frasson et al. 2024.
-
-qcmb_MF: CMB heat flux in cases MF0, MF1, MF2, and MF* in a Mollweide projection. Black lines delineate the edges of basal chemical piles.
-
-qcmb_MC: CMB heat flux in cases MC0 and MC1 in a Mollweide projection. Black lines delineate the edges of basal chemical piles.
-
-
-Â 
-
-Description of the scripts
-
-
-
-PCA.py: Computes the PCA of the field stored in the path provided as argument for the given model.
-
-inertia.py: Computes the successive positions of the inertia axis. This script includes functions to rotate the outputs according to the positions of the inertia axis.",api,True,findable,0,0,0,0,0,2024-03-25T10:49:30.000Z,2024-03-25T10:49:30.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10896138,"Dataset for manuscript : ""Weak and shallow frictional faults revealed by a large earthquake""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This archive file contains datafiles used in ""Weak and shallow frictional faults revealed by a large earthquake"".README.txt files describing the datasets are available within the archive.",api,True,findable,0,0,0,0,1,2024-03-30T00:54:35.000Z,2024-03-30T00:54:36.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_ap_20240312_0001,Visible-near-infrared reflectance spectra of olivine-pyroxene mixtures,SSHADE/UH-ApS (OSUG Data Center),2024,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",Visible-near-infrared reflectance spectra of olivine-pyroxene mixtures,mds,True,findable,0,0,2,0,0,2024-03-28T11:48:30.000Z,2024-03-28T11:48:30.000Z,inist.sshade,mgeg,"laboratory measurement,diffuse reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor,pyroxene,olivine,mineral,natural terrestrial,inosilicate,nesosilicate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'diffuse reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'pyroxene', 'subjectScheme': 'name'}, {'subject': 'olivine', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'inosilicate', 'subjectScheme': 'compound type'}, {'subject': 'nesosilicate', 'subjectScheme': 'compound type'}]",['7 spectra'],['ASCII']
-10.5281/zenodo.10896122,"Codes for Muller et al., Fast uplift in the Southern Patagonian Andes due to long and short term deglaciation and the asthenospheric window underneath, EGU Solid Earth, 2024",Zenodo,2024,en,ComputationalNotebook,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2024-03-30T00:46:29.000Z,2024-03-30T00:46:29.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10896121,"Codes for Muller et al., Fast uplift in the Southern Patagonian Andes due to long and short term deglaciation and the asthenospheric window underneath, EGU Solid Earth, 2024",Zenodo,2024,en,ComputationalNotebook,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,1,2024-03-30T00:46:29.000Z,2024-03-30T00:46:29.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.pg4f4qrxd,Biomass production at 2085 horizon for the Maurienne valley (French Alps) estimated using a Bayesian Belief Network,Dryad,2024,en,Dataset,Creative Commons Zero v1.0 Universal,"In mountains, grasslands managed for livestock production sustain local
- economies, culture and identity. However, their future fodder production
- is highly uncertain under climate change: while an extended growing season
- may be beneficial, more frequent and intense summer droughts could also
- reduce fodder quantity and quality. Land use and land cover (LULC) changes
- are another major driver of regional grassland biomass production, but
- combined effects of future land use transitions and climate change are
- rarely quantified. We modelled combined climate and LULC scenarios for
- grassland production of the Maurienne Valley (French Alps) by 2100. We
- built a Bayesian Belief Network (BBN) from long-term grassland production
- monitoring data complemented with expert knowledge. We assessed the
- potential of two candidate adaptations, intensification as an incremental
- solution, and silvopastoralism as a transformative solution to compensate
- combined impacts of two climate scenarios and three land use change
- scenarios. Total biomass production was far more sensitive to LULC than to
- climate scenarios. Production losses were largest under the Conservation
- LULC scenario (-28% on average between 2020 and 2085), followed by the
- Tourism development scenario (-7%) and the Business-as-Usual scenario
- (+3%). Climate change under RCP 8.5 altered the seasonality of production
- by increasing potential production from May to July while decreasing
- summer regrowth. Intensification somewhat compensated effects of climate
- and LULC changes on biomass production, whereas silvopastoralism offered
- only marginal gains. The Bayesian network model explicitly captured a
- future increase in interannual variability in biomass production.
- Synthesis and application: Changes in LULC are more decisive for global
- biomass production than climate change. However, under the most extreme
- climate change scenario (RCP8.5), the seasonal shift in production and
- increased interannnual variability threaten the current grass-based
- Protected Designation of Origin production system. Only the
- intensification adaptation solution showed significant gains in total
- biomass production. Still, the silvopastoralism would require less
- investment compared to the intensification and have a similar efficiency
- when assessing the gains of biomass by the surface concerned with
- adaptation solutions. Â ",mds,True,findable,0,0,1,0,0,2024-03-27T08:35:36.000Z,2024-03-27T08:35:36.000Z,dryad.dryad,dryad,"FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences,Grasslands,Bayesian Belief Network,Climate change,Drought adaptation","[{'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Grasslands', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Bayesian Belief Network'}, {'subject': 'Climate change', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Drought adaptation', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['31171791 bytes'],
-10.5281/zenodo.10882070,HOD-Dependent Systematics for Luminous Red Galaxies in the DESI 2024 BAO Analysis,Zenodo,2024,en,OutputManagementPlan,Creative Commons Attribution 4.0 International,"Supplementary data and code to reproduce the figures of ""HOD-Dependent Systematics for Luminous Red Galaxies in the DESI 2024 BAO Analysis"".",api,True,findable,0,0,0,0,0,2024-03-26T18:27:41.000Z,2024-03-26T18:27:42.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10882069,HOD-Dependent Systematics for Luminous Red Galaxies in the DESI 2024 BAO Analysis,Zenodo,2024,en,OutputManagementPlan,Creative Commons Attribution 4.0 International,"Supplementary data and code to reproduce the figures of ""HOD-Dependent Systematics for Luminous Red Galaxies in the DESI 2024 BAO Analysis"".",api,True,findable,0,0,0,0,1,2024-03-26T18:27:42.000Z,2024-03-26T18:27:42.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10896139,"Dataset for manuscript : ""Weak and shallow frictional faults revealed by a large earthquake""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This archive file contains datafiles used in ""Weak and shallow frictional faults revealed by a large earthquake"".README.txt files describing the datasets are available within the archive.",api,True,findable,0,0,0,0,0,2024-03-30T00:54:35.000Z,2024-03-30T00:54:35.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10895011,Data for 'Mapping and characterization of avalanches on mountain glaciers with Sentinel-1 satellite imagery',Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains avalanche deposit outlines (as shapefiles) derived for the study 'Mapping and characterization of avalanches on mountain glaciers with Sentinel-1 satellite imagery'
-
-Â 
-
-They were outlined at three different sites (Mt Blanc, Everest and Hispar regions) for the periods 11/2016-10/2021 (Mt Blanc) and 11/2017-10/2022 (Everest and Hispar). The time period is indicated in the file name.
-
-Â 
-
-For each dataset we give the raw outlines (Automated_outlines_dates), the manually updated (Automated_outlines_dates_ManualUpd) and the manually updated after accounting for surface elevation change (Automated_outlines_dates_ManualUpd_shifted).Â 
-
-Â 
-
-In order to know which scenes were used for the mapping (if no avalanche was detected, we did not provide a shapefile, but this doesn't been that there is a gap in the Sentinel-1 time series), we provide a Sentinel1_date file that shows all the Sentinel-1 RGB pairs that we used to detect the avalanches.
-
-Â 
-
-We also provide as geotiffs the temporally aggregated outlines (Automated_outlines_dates_ManualUpd_shifted_aggregated; over one specific year yn - from 01/11/yn-1 to 01/11/yn - or the full study period):
-
-- as heatmaps (where the value of each pixel corresponds to the number of avalanches that occured)Â 
-
-- as binary maps of deposits (where 1 is when an avalanche occured over the time period and 0 is where none were detected).
-
-Â 
-
-Â 
-
-Finally we provide a csv file for each region with metrics per glacier:
-
-Â 
-
-RGI ID
-
-Glacier size (in m^2)
-
-Catchment size (in m^2)
-
-Area of slopes steeper than 30Â° (in m^2)
-
-The area of total deposits detected (by summing all the pixels of the deposit binary maps) in the ascending obits (in m^2)
-
-The area of total deposits detected (by summing all the pixels of the deposit binary maps) in the descending obits (in m^2)
-
-The avalanche activity detected (by summing all pixels of the heat maps) in the ascending orbits (in m^2)
-
-The avalanche activity detected (by summing all pixels of the heat maps) in the descending orbits (in m^2)
-
-The area of the glacier visible in the ascending orbits (in m^2)
-
-The area of the glacier visible in the descending orbits (in m^2)
-
-Â 
-
-Â 
-
-The main Google Earth Engine and Matlab scripts used to pre-process the Sentinel-1 GRD images and to map the avalanches are available on GitHub: https://github.com/MarinKneib/S1_avalanches
-
-Â ",api,True,findable,0,0,0,0,0,2024-03-29T15:43:58.000Z,2024-03-29T15:43:59.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10899175,NeoGeographyToolkit/StereoPipeline: 2024-03-30-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,0,0,2024-03-30T17:51:40.000Z,2024-03-30T17:51:41.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10889881,MedDialog-FR: a French Version of the MedDialog Corpus for Multi-label Classification and Response Generation related to Women's Intimate Health,Zenodo,2024,fr,Dataset,Creative Commons Attribution 4.0 International,"MedDialog-FR: a French Version of the MedDialog Corpus for Multi-label Classification and Response Generation related to Women's Intimate Health
-
-Â 
-
-Contributors: Xingyu Liu, Vincent Segonne, Aidan Mannion, Didier Schwab, Lorraine Goeuriot, FranÃ§ois Portet
-
-Â 
-
-Total Number of Single-Turn Dialogues: 16,149 dialogues of women's intimate health, 7,120 dialogues of general medicine
-
-Â 
-
-Given the lack of French dialogue corpora for data-driven dialogue systems and the paucity of available information related to women's intimate health, MedDialog-FR is an annotated corpus of question-and-answer sessions between a patient and a doctor concerning women's intimate health. The corpus is composed of about 20,000 sessions automatically translated from the English version of MedDialog-EN. The corpus test set is composed of 1,400 sessions that have been manually post-edited and annotated with 22 categories from the UMLS ontology.
-
-Â 
-
-Overview of the dataset
-
-Â 
-
-To construct the French MedDialog Dataset (MedDialog-FR), we initially extracted from MedDialog-EN and automatically translated a total of 16,149 dialogues related to women's intimate health and an additional 7,120 dialogues related to general medicine. MedDialog-EN is composed of textual single-turn dialogues: a medical question by a patient and a response by a physician. From the translated dialogues, we randomly selected 900 dialogues on women's intimate health and 500 dialogues concerning general medicine to be post-edited. Subsequently, we performed multi-label annotation on the 900 questions extracted from these same dialogues focused on women's intimate health. In total, 1,286 labels were annotated, with 1.43 labels per instance in average.
-
-Â 
-
-The summary of the statistics of the dataset:
-
-
-
-
-Task
-Women
-General
-
-
-Machine translation (#dialogs)
-16,149
-7,120
-
-
-Post-editing (#dialogs)
-900
-500
-
-
-Multi-label annotation (#questions)
-900
--
-
-
-
-
-Â 
-
-Structure of the dataset
-
-Â 
-
-The dataset contains the following elements separated in general medicine domain (MedDialog-FR-general) and women's intimate health domain (MedDialog-FR-women):
-
-```
-
-â”œâ”€â”€ MedDialog-FR-general/
-
-â”œâ”€â”€â”€â”€ machine_translation/meddialog-fr-general_machine_translation.csv
-
-â”œâ”€â”€â”€â”€ post-editing/meddialog-fr-general_post-editing.csv
-
-Â 
-
-â”œâ”€â”€ MedDialog-FR-women/
-
-â”œâ”€â”€â”€â”€ machine_translation/meddialog-fr-women_machine_translation.csv
-
-â”œâ”€â”€â”€â”€ post-editing/meddialog-fr-women_post-editing.csv
-
-â”œâ”€â”€â”€â”€ multilabel_annotation/dataset_multilabel_meddialog_22labels.csv
-
-â”œâ”€â”€â”€â”€ response_generation/dataset_response_generation_meddialog.csv
-
-Â 
-
-```
-
-All the .csv files contain a column named id, which indicates the original file of *MedDialog-EN* with the id in that file. For example, hm3_96_q or hm3_96_a refers to the session with the id of 96 within the healthcaremaginc3 file. The suffix of '_q' and '_a' indicates question and answer
-
-Â 
-
-Machine translation
-
-The .csv file contains 3 columns: id, en and fr
-
-- en: original question and answer in English
-
-- fr: translated question and answer in French
-
-Â 
-
-Example lines:
-
-hm4_1121_q \t J'ai 52 ans, mes derniÃ¨res rÃ¨gles remontent au 6 dÃ©cembre, je pensais que c'Ã©tait peut-Ãªtre le dÃ©but de la mÃ©nopause. J'ai fait un test d'urine pour la grossesse, qui s'est rÃ©vÃ©lÃ© positif, puis j'ai fait un test quantitatif de hcg 45343 (je suis infirmiÃ¨re et je l'ai fait au laboratoire de l'hÃ´pital oÃ¹ je travaille). J'ai des crampes et des saignements (bruns) depuis 2 Ã  3 mois.
-
-Â 
-
-hm4_1121_a \t Bonjour, j'ai compris votre prÃ©occupation. Comme vous avez mentionnÃ© que le taux de bÃªta HCG est plus Ã©levÃ©, je vous suggÃ¨re de faire une Ã©chographie. Cela confirmera l'Ã¢ge gestationnel et la viabilitÃ© de la grossesse. Si vous tenez Ã  poursuivre la grossesse, veuillez discuter des risques encourus avec votre gynÃ©cologue traitant. Vous pouvez Ã©galement opter pour une interruption de grossesse avec des mÃ©dicaments en toute sÃ©curitÃ© jusqu'Ã  9 semaines de grossesse sous surveillance mÃ©dicale. J'espÃ¨re que cette rÃ©ponse vous aidera.
-
-Â 
-
-Post-editing
-
-The .csv file contains 3 columns: id, machine_translation and post-edited
-
-Â 
-
-Example line:
-
-hm4_3334_q \t bonjour docteur je suis atteinte de pcos, je me suis mariÃ©e en novembre 2011.nous essayons d'avoir une grossesse depuis deux mois ... et ma question est comment savoir la sÃ©vÃ©ritÃ© du pcos et quel est le meilleur moment pour concv \t bonjour docteur, je suis atteinte de SOPK, je me suis mariÃ©e en novembre 2011. Nous essayons de concevoir depuis deux mois ... et ma question est comment savoir la sÃ©vÃ©ritÃ© du SOPK et quel est le meilleur moment pour concevoir.
-
-Â 
-
-Multi-label annotation
-
-The .csv file contains 5 columns: id, source_file, labels and split.
-
-- source_file: the source file where the text content for classification can be found with id
-
-- labels: UMLS IDs representing expert-validated labels for classification
-
-- split: train, dev or test
-
-Â 
-
-Example line:
-
-hm1_33568_q \t '../post-editing/meddialog-fr-women_post-editing.csv' \t ['C0700589', 'C0227791'] \t train
-
-
-
-Partitioning:
-
-We split theÂ MedDialog-FR-women multi-label dataset into a training set of 500 instances, a validation set of 100 instances and a test set of 300 instances. The ratio was chosen to balance the need for maximizing the amount of fine-tuning data available while also ensuring that the test set is large enough for the results to be statistically significant, given the scarcity of some categories. The split statistics are summarized in the following table. To maintain consistent label distribution, we leveraged the iterative stratification algorithm during the data splitting process.
-
-
-
-
-Split
-#Questions
-
-
-Train
-500
-
-
-Validation
-100
-
-
-Test
-300
-
-
-
-
-Â 
-
-Response generation
-
-The .csv file contains 3 columns: id, split and source_file
-
-- split: train, dev or test
-
-- source_file: the source file where the text content for response generation can be found with id
-
-Partitioning:
-
-The validation and test data contain the same session ID as the multi-label validation and test, but they include the corresponding answers. for the training set, we use the same ones as multi-label dataset plus the machine translated sessions.
-
-Â 
-
-
-
-
-Split
-#Dialogues
-
-
-Train
-15,749
-
-
-Validation
-100
-
-
-Test
-300
-
-
-
-
-Â 
-
-
-
-Corpus data cleaning
-
-By examining the MedDialog-EN corpus, we identified data that could potentially leak personal information such as the first and last name, email address, URL, etc. In order to safeguard privacy, we conducted a series of data cleaning procedures, especially anonymization:
-
-1. replace URLs with #URL# (regex pattern: `https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)
-
-`)
-
-2. replace emails with #EMAIL# (regex pattern: `^[\w-\.]+@([\w-]+\.)+[\w-]{2,4}`)
-
-3. replace phone numbers with #TEL# (regex pattern: `^[\+]?[(]?[0-9]{3}[)]?[-\s\.]?[0-9]{3}[-\s\.]?[0-9]{4,6}`)
-
-4. replace dates with #DATE# (regex patterns: `\d{1,2}\/\d{1,2}\/\d{2,4}
-
-`; `(Jan(?:uary)?|Feb(?:ruary)?|Mar(?:ch)?|Apr(?:il)?|May|Jun(?:e)?|Jul(?:y)?|Aug(?:ust)?|Sep(?:tember)?|Oct(?:ober)?|Nov(?:ember)?|Dec(?:ember)?)\s+(\d{1,2})\s+(\d{4})`)
-
-5. replace hospital or clinic names with #HOSPITAL# (text patterns: `clinic`; `hospital`)
-
-6. replace names in questions with #Person1#, and names in answers with #Person2#. If there is a name in an answer identical to the name in its question, replace it with #Person1#. (text patterns: `I am`; `I'm`;`Dr`; `Doctor`)
-
-7. replace the names of data source forums with coded letters (text patterns: forum names)
-
-
-
-Ethics Statement and Limitations
-
-Access to actual medical data is very restricted and protected in France. We thus used an already publicly available corpus in English. But we did not simply translate it. We first made sure that no personal information could be found in the data. This is why we replaced all names that could have been kept in the original data. We also performed post-edition after automatic translation to adapt the phrasing and medical term to the French culture. All people recruited for annotation were treated fairly. This includes, but is not limited to, compensating them fairly and ensuring that they were voluntary participants. We do not foresee any direct social consequences or ethical issues.
-
-Â 
-
-Authors of MedDialog were warned at our project and answered our questions.
-
-Â 
-
-Since the original corpus is derived from dialogues in the U.S.A., there might be some cultural differences with French-speaking countries in the way people interact with doctors and which treatments and medical advises can be provided.
-
-Â 
-
-Answers to questions should not be applied for self-treatment.
-
-Â ",api,True,findable,0,0,0,0,0,2024-03-29T09:25:42.000Z,2024-03-29T09:25:42.000Z,cern.zenodo,cern,"Medical Corpus,Women's Intimate Health,Multi-label Question Classification,Response Generation","[{'subject': 'Medical Corpus'}, {'subject': ""Women's Intimate Health""}, {'subject': 'Multi-label Question Classification'}, {'subject': 'Response Generation'}]",,
-10.5281/zenodo.10937840,NeoGeographyToolkit/StereoPipeline: 2024-04-07-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,1,0,2024-04-07T08:23:02.000Z,2024-04-07T08:23:02.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10912815,"Dataset ""Comprehensive laboratory constraints on thermal desorption of interstellar ice analogues""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"### Dataset Overview ###
-
-This dataset contains Temperature-Programmed Desorption data corresponding to the series of experiments described in Table 2 of our accompanying paper ""Comprehensive laboratory constraints on thermal desorption of interstellar ice analogues"". The focus of these experiments is to explore the thermal desorption of various molecular ice mixtures under specific conditions.
-
-Â ",api,True,findable,0,0,0,0,0,2024-04-03T16:44:49.000Z,2024-04-03T16:44:50.000Z,cern.zenodo,cern,Astrochemistry,"[{'subject': 'Astrochemistry', 'subjectScheme': 'EuroSciVoc'}]",,
-10.5281/zenodo.10888833,SemanticPriming/SPAML: SPAML v1 Data Release,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,Sync with Zenodo and add data later,api,True,findable,0,0,0,1,0,2024-03-28T01:56:51.000Z,2024-03-28T01:56:51.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10903291,serasset/dbnary: Release v3.1.16,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"Changelog
-
-df8856c Merge branch 'release/3.1.16'
-a40ef0a Update versions for release
-be42991 cleanup(english) code convention
-1d44bbe fix(english): Extracting gloss of nyms without nowiki tags and ignoring templates
-189241f fix(wikitext): getText on a content with wikitext, will render the wikitext to protect further processing through bliki
-0748197 fix(english): workarounds to remove many errors from logging
-ff8514f Merge branch 'snyk-fix-835bb486ca337a39f591c7fe83bd0520' into 'develop'
-def1948 [Snyk] Security upgrade com.slack.api:slack-api-client from 1.38.0 to 1.39.0
-ee36072 fix(english): fixed Wiktionary Namespaces configurations through Locale to avoid a LuaError
-bacba8f fix(english): workaround a bug in Scribunto preprocess function that generated html paragraphs around simple wiki code
-44e0161 fix(wikitext): adding support for nowiki tags in wikitext parser
-0e80bae Update for next development version
-d0900f1 Merge branch 'release/3.1.15'
-5e88f5c Merge branch 'release/3.1.15' into develop
-17813db Update versions for release
-889e503 cleanup(all): code style
-0b39033 fix(all): control chars stripping used the incorrect gnu syntax instead of java character class
-c398c95 fix(cicd): add gaelic and catalan in CICD verification
-3cf74aa fix(all): strip control chars arising from ill formed data in definitions and translations
-d87bce1 update(bliki): new version of bliki uses a luaj that is safe with suplementary chars, avoiding the generation of control (null) chars in some strings
-cc40f14 fix(english): Module:utilities uses the ugly strip marker hack, patch it
-1173526 fix(lua): Updated Bliki / Lua dependencies that fixes a bug with Strings with surrogates.
-6e390b8 fix(english): links in nyms are properly handled
-5ffc6b6 fix(english): capturing more nym relation with additional gloss/usage info
-184ffee fix(english): patching Module:place and Module:place/data due to error in lua code (remove when fixed in wiktionary)
-16d0885 fix(english): extracting senses that are abbreviation of something
-7fe4607 Update for next development version
-c8eda22 Merge branch 'release/3.1.14'
-d3a6e61 Merge branch 'release/3.1.14' into develop
-065f441 update(doc): License files span until 2024
-44a3319 Update versions for release
-ea78adb update(dependencies): bumping several dependencies to latest version
-e7c696c fix(spanish): FIX #138 part of speeches may now be given in templates
-73b46d6 update(dependencies): bumping several dependencies to latest version
-e18a149 fix(spanish): part of speeches may now be given in templates
-dbc059d fix(spanish): part of speeches may now be given in templates
-870130e Merge remote-tracking branch 'origin/develop' into develop
-9727442 fix(spanish): part of speeches may now be given in templates
-531f587 fix(spanish): part of speeches may now be given in templates
-5686259 fix(english): amend logging of derivation parser
-2989357 fix(virtuoso): use coherent naming for graphs (with no trailing /)
-df88474 fix(english): Correctly handling ja-usex template variants and redirects
-dbeb07f fix(maven): update scala libraries and compiler
-19f84ff fix(english): FIX #137 handling ja-usex template
-24956f3 fix(maven): update scala library
-81456a3 fix(virtuoso): the named graph for exolex should not finish with a trailing slach
-eb569d6 Clenup virtuoso.ini in production mode.
-f870b3b fix(dependencies): update bliki version
-40ece92 fix(scripts): allow sample size argument in local evaluation script
-f3dafe0 Merge branch 'release/3.1.13'
-a103a2f Update versions for release
-72122e1 fix(catalan): error in pronunciation extraction
-3335c37 fix(catalan): many bibliographic references are blank
-d15df99 fix(dependencies): updated dependencies for security reasons
-771bfa2 fix(catalan): check given language before generating a lang string to avoid rdf errors.
-fe87545 fix(commands): add catalan and irish codes to the rotate virtuoso script
-9855eb3 Update for next development version
-5919911 Merge branch 'hotfix/3.1.12b' into develop
-54096e0 Update to hotfix version
-0077b4d Merge branch 'hotfix/3.1.12b'
-bcda578 fix(commands): do not generate HDT combined files anymore as it seems not to correctly work at least in English
-2286a94 enh(all): removed some code smells
-a865807 Update versions for hotfix
-2415121 fix(english): first attempt to extract pronunciations' locale information
-de6b6f3 fix(model): fixed lime:language as a measure property in statistics datacube
-5f5cd4f Update for next development version
-71438a9 Merge branch 'release/3.1.12'
-98c5887 Merge branch 'release/3.1.12' into develop
-fdb4d1d Update versions for release
-97df0a4 fix(extractor): added gaelic and catalan to default set of languages
-9902207 Merge branch 'feature/alet' into develop
-c2bafef Update versions for development branch
-d3accfe Bumping bliki version
-73eca1b Refactoring some var names.
-cf91bcf Extracting pronunciation dialect.
-116880d Patch infinite loop.
-07dba5f fix(catalan): changed bliki bundle message encoding
-d2461d1 Final commit for Catalan.
-dcc1127 commit stashed changes.
-0ea514d fix(catalan): added definition rendering
-9328c90 fix(gaelic): cleanup for code standards
-5d0362e Template args & exolex BIG check.
-53318d1 Update for next development version
-58581fe Merge branch 'release/3.1.11' into develop
-376e686 Merge branch 'release/3.1.11'
-932175b Update versions for release
-eb2f760 fix(wikimodel): update bliki and taking into account the (now) correct management of the engine
-9922814 fix(maven/jreleaser): rollbacked problematic changes
-bd24918 Revert ""fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation""
-2aaefea fixed a doc error
-2b8e997 fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-37b81b3 Merge remote-tracking branch 'origin/master'
-b0561ea fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-52df665 fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-511a9dd fix(maven/jreleaser): rollbacked problematic changes
-e256104 Update for next development version
-9ee6432 Merge branch 'release/3.1.10'
-fe3f322 Merge branch 'release/3.1.10' into develop
-37962ef Update versions for release
-e2ec953 fix(serbo croatian): Fix #18: cyrilic form is now added to the canonical form
-19a5577 fix(german): Fix #24: now expand German definition using bliki
-326f2db fix(commands): catching StackOverflowError in extraction command lines
-2eef6e0 fix(commands): catching StackOverflowError in extraction command lines
-f9b9f24 fix(wikitext): fixed a stack overflow issue with large  wikitext
-de3b737 fix(no): translations extraction
-ce359a1 test(cicd): attempt using gitlab generic package upload
-b00bb06 Merge branch 'release/3.1.9'
-abce2e2 Update versions for release
-73e2e9c fix(english): fix #128 some pronunciation where missing
-3e74edd fix(greek): avoiding a rare NPE in pronunciation extraction
-61acbe1 fix(virtuoso): normalized prod virtuoso config
-c32adee fix(all): Uses a Debug lua lig in case of call with lua classes trace enabled
-b747c58 fix(greek): updted scribunto to handle some greek edge case issues in Lua Modules
-eb71b54 fix(virtuoso) disabling the translatableAs linking SPARQL updatewq
-c09b117 Merge branch 'develop'
-60240fe Update versions for release
-88e2f43 fix(extractor): updated scribunto and lua engine to cope with recently introduced errors from English Modules
-e419b1c Merge branch 'feature/struct-checker' into develop
-8846aad Update versions for development branch
-c49d088 fix(loading): re-enabling the vartrans translatableAs link creation for non homonymous translation targets
-1286a2d fix(english): better typing of Lexical Entries as Words, or MultiWordExpressions or Affixes
-33b4a1a enhancement(en) updated run conf
-525d756 fix(all) systematically removing safesubst from templates
-d53c000 cleanup(spanish) code style
-4eab720 Merge branch 'release/3.1.7'
-5c67c6f Update versions for release
-b9de781 fix(german) added new vorname declination template extraction
-5c1d44a fix(german) incorrect declination filter for adjectives
-00fa112 Modified launch configuration
-4a6f073 fix(english) fixes notes extracted as derivations
-095fea5 Merge branch 'hotfix/3.1.6-a'
-6620739 Update versions for hotfix
-7120e3e Merge branch 'hotfix/3.1.6_1'
-7b81c10 fix(french) checking language tag when creating example
-d2e6e52 fix(french) checking language tag when creating example
-89d83be Update versions for hotfix
-7ba4ba8 Merge branch 'release/3.1.6'
-c428ecc Update versions for release
-edc3018 fix(english) workaround several bugs in example extraction
-31846a1 Merge branch 'release/3.1.5'
-2210fce Update versions for release
-aa0c8b8 Merge branch 'release/3.1.4'",api,True,findable,0,0,0,1,0,2024-04-01T12:48:04.000Z,2024-04-01T12:48:04.000Z,cern.zenodo,cern,,,,
-10.5905/ethz-1007-760,"Software for examples of ""Peak Time-Windowed Mean Estimation using Convex Optimization""","ETH Zurich; GIPSA-lab, Univ. Grenoble Alpes, CNRS, Grenoble INP, LAAS-CNRS, Czech Technical University",2024,,Software,,,api,True,findable,0,0,0,0,0,2024-04-03T05:15:01.000Z,2024-04-03T05:15:01.000Z,ethz.da-rd,stdp,,,,['MATLAB']
-10.5061/dryad.zkh1893hw,Vegetation changes with climate change in the Grandes Rousses mountain range,Dryad,2024,en,Dataset,Creative Commons Zero v1.0 Universal,"Questions: We assessed interactions between climate change, bedrock types
- and snow cover duration on the trajectories of taxonomic and functional
- composition of subalpine plant communities. We predict (i) an increase in
- species richness on siliceous bedrock due to a reduced competition and a
- decrease in richness on calcareous bedrock due to increasing drought
- stress, (ii) decreasing snow cover duration should induce a higher shrub
- encroachment in hollows as compared to ridges (iii) increasing growing
- season temperature should induce taller sizes and more conservative growth
- traits, in particular in hollows. Location: Subalpine belt of the Grandes
- Rousses mountain range, south western Alps (France). Methods: 189
- vegetation plots were sampled in 1997 and 2017-2018. The duration of snow
- cover was assessed during two years in 1995-1997 and five functional
- traits were measured on 108 species in 2021. We performed multivariate
- analyses, quantified community weighted-means (CWM) of traits and used
- ANOVAs to detect responses to local-scale factors and changes in snow
- cover, temperature and precipitation since 1997 according to a nearby
- meteorological station. Results: Overall, taxonomic composition weakly
- changed and changes were more dependent on the position of communities
- along the snow cover duration gradient than on their bedrock type. The
- abundance of drought-tolerant species increased at the border of hollows
- and there was, over all communities, a slight increase in the abundance of
- dwarf shrubs and tall herbaceous species, a strong decrease in short
- herbaceous species and, thus, an overall decrease in species richness.
- There were important overall changes in CWM of size traits, in particular
- leaf area which increased the most in hollows irrespective of bedrock
- types. Conclusion: In this subalpine site the effects of decreasing snow
- cover duration overwhelmed the effects of bedrocks, which may explain the
- overall increase in competitive species and decrease in species richness.",mds,True,findable,0,0,0,0,0,2024-04-12T17:10:17.000Z,2024-04-12T17:10:18.000Z,dryad.dryad,dryad,"French Alps,Bedrock types,Climate change,community composition,functional composition,Snow cover duration,FOS: Biological sciences,FOS: Biological sciences,Subalpine belt","[{'subject': 'French Alps'}, {'subject': 'Bedrock types'}, {'subject': 'Climate change', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'community composition'}, {'subject': 'functional composition'}, {'subject': 'Snow cover duration'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Subalpine belt'}]",['146662 bytes'],
-10.26302/sshade/experiment_zed_20230103_02,FIR spectra of phyllosilicate pellets irradiated by He+ and Ar+ ions,SSHADE/DAYSY (OSUG Data Center),2024,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",FIR spectra of phyllosilicate pellets irradiated by $Ar^+$ or $He^+$.,mds,True,findable,0,0,2,0,0,2024-04-10T15:37:24.000Z,2024-04-10T15:37:24.000Z,inist.sshade,mgeg,"laboratory measurement,confocal reflection,micro-imaging,FIR,Far-Infrared,reflectance factor,Serpentine Rawhide,Serpentine UB-N,Saponite Griffithite,mineral,natural terrestrial,phyllosilicate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'confocal reflection', 'subjectScheme': 'main'}, {'subject': 'micro-imaging', 'subjectScheme': 'main'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'Far-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Serpentine Rawhide', 'subjectScheme': 'name'}, {'subject': 'Serpentine UB-N', 'subjectScheme': 'name'}, {'subject': 'Saponite Griffithite', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'phyllosilicate', 'subjectScheme': 'compound type'}]",['9 spectra'],['ASCII']
-10.5281/zenodo.10951600,Response to Sea Surface Temperature and Primary Productivity to change in Earth's Orbit Eccentricity - Simulations,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains ocean and ocean biogeochemistry outputs from modeling experiments with present-day geography and various Earth's orbit confiurations. The set of simulation targets the role of Eccentricity on the tropical ocean sea surface temperature and primary productivity (Beaufort & Sarr, 2024) . The simulations have been run using the IPSL-CM5A2 General Circulation Model (Sepulchre et al. 2020 - IPSL-CM5A2 â€“ an Earth system model designed formulti-millennial climate simulations, GMD) and offline version of PISCESv2 model (Aumont et al., 2015 - PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies, GMD). It includes 4 simulations. Data are monthly averages over the last 100 years of the simulations.
-
-Complementary outputs (4 simulations) can be found at https://www.seanoe.org/data/00728/84031/ (Beaufort et al., 2022)",api,True,findable,0,0,0,0,0,2024-04-11T20:07:00.000Z,2024-04-11T20:07:01.000Z,cern.zenodo,cern,Paleoclimatology,"[{'subject': 'Paleoclimatology', 'subjectScheme': 'EuroSciVoc'}]",,
-10.5281/zenodo.10958419,NNXRD-mfraction datasets,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Datasets from ""Neural networks for rapid phase quantification of Cultural Heritage X-ray powder diffraction data"" needed to run the codes at: https://github.com/polinev/NNXRD-mfraction.
-
-Some more information regarding the files:
-
-
-
-Â Mock-up:
-
-
-
-rep-6_layer_0_0002_powder_short-iback_clean_corr_new.h5 = sample file with all XRD patterns pretreated
-
-dataset_mockup_rep6.pickle = dataset for neural network training
-
-best_val_loss_model_pp/h_mockup_rep6 = best model after NN training
-
-mockup_rep6_rebuilt.pickle = XRD patterns rebuilt from predictions
-
-REP6_seq_topas.h5 = data treated with serial Rietveld refinement
-
-
-
-Historical sample:
-
-
-
-S2018_157_sinogram_layer02_XRD_powder_pack_half1_short-iback_clean.h5 = data pretreated
-
-S2018_157_sinogram_layer02_XRD_powder_pack_half1-back_clean_corr_mask.h5 = other sample file that contains metadata used in the code (mask and contour)
-
-dataset_historical_sample_S157.pickle = dataset for NN training
-
-best_val_loss_model_pp/h_article.h5 = best model after NN training
-
-patterns_rebuilt_S157.pickle = XRD patterns rebuilt from predictions",api,True,findable,0,0,0,0,0,2024-04-11T07:31:59.000Z,2024-04-11T07:32:00.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10966629,pyxem/orix: orix 0.12.0,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"orix 0.12.0 is a minor release of orix, an open-source Python library for handling orientations, rotations and crystal symmetry.
-
-See below, the changelog or the GitHub changelog for all updates from the previous release.
-
-Added
-
-
-
-Vector3d.from_path_ends() class method to get vectors between two vectors.
-
-Convenience function plot.format_labels() to get nicely formatted vector labels to use when plotting vectors.
-
-Two offsets in the stereographic coordinates (X, Y) can be given to StereographicPlot.text() to offset text coordinates.
-
-Explicit support for Python 3.11.
-
-Creating quaternions from neo-eulerian vectors via new class methods from_rodrigues() and from_homochoric(), replacing the now deprecated from_neo_euler(). from_rodrigues() accepts an angle parameter to allow passing Rodrigues-Frank vectors.
-
-Creating neo-eulerian vectors from quaternions via new methods to_axes_angles(), to_rodrigues() and to_homochoric(). Rodrigues-Frank vectors can be returned from to_rodrigues() by passing frank=True.
-
-inv() method for Quaternion, Rotation, Orientation, and Misorientation. For the three first, its behavior is identical to the inversion operator ~. For misorientations, it inverts the direction of the transformation. Convenient for chaining operations.
-
-The random() methods of Orientation and Misorientation now accept symmetry. A random() method is also added to Vector3d and Miller, the latter accepting a phase.
-
-Function orix.sampling.get_sample_reduced_fundamental() for sampling rotations that rotate the Z-vector (0, 0, 1) onto the fundamental sector of the Laue group of a given Symmetry.
-
-
-Changed
-
-
-
-The convention parameter in from_euler() and to_euler() will be removed in the next minor release, 0.13, instead of release 1.0 as previously stated.
-
-Allow passing a tuple of integers to reshape() methods of 3D objects.
-
-random() methods no longer accept a list as a valid shape: pass a tuple instead.
-
-Increase minimal version of Matplotlib to >= 3.5.
-
-
-Removed
-
-
-
-Support for Python 3.7.
-
-
-Deprecated
-
-
-
-Creating quaternions from neo-eulerian vectors via from_neo_euler() is deprecated and will be removed in v0.13. Use the existing from_axes_angles() and the new from_rodrigues() and from_homochoric() instead.
-
-
-Fixed
-
-
-
-Transparency of polar stereographic grid lines can now be controlled by Matplotlib's grid.alpha, just like the azimuth grid lines.
-
-Previously, Phase did not adjust atom positions when forcing Phase.structure.lattice.base to use the crystal axes alignment e1 || a, e3 || c*. This is now fixed.",api,True,findable,0,0,0,0,0,2024-04-12T17:23:52.000Z,2024-04-12T17:23:53.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10969048,NeoGeographyToolkit/StereoPipeline: 2024-04-13-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,0,0,2024-04-13T18:42:52.000Z,2024-04-13T18:42:52.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.3tx95x6pk,Data from: The importance of migratory drop-off for island colonization in birds,Dryad,2024,en,Dataset,Creative Commons Zero v1.0 Universal,"Seasonal migration is an underappreciated driver of animal
- diversification. Changes in migratory behavior may favor the establishment
- of sedentary founder populations and promote speciation if there is
- sufficient reproductive isolation between sedentary and migratory
- populations. From a systematic literature review, we here quantify the
- role of migratory drop-off â€“ the loss of migratory behavior â€“ in promoting
- speciation in birds on islands. We identify at least 157 independent
- colonization events likely initiated by migratory species that led to
- speciation, including 44 cases among recently extinct species. By
- comparing, for all islands, the proportion of island endemic species that
- derived from migratory drop-off with the proportion of migratory species
- among potential colonizers, we showed that seasonal migration has a larger
- effect on island endemic richness than direct dispersal. We also found
- that the role of migration in island colonization increases with the
- geographic isolation of islands. Furthermore, the success of speciation
- events depends in part on species biogeographic and ecological factors,
- here positively associated with greater range size and larger flock sizes.
- These results highlight the importance of shifts in migratory behavior in
- speciation process and calls for greater consideration of migratory
- drop-off in the biogeographic distribution of birds.",mds,True,findable,0,0,0,0,0,2024-04-12T14:00:46.000Z,2024-04-12T14:00:47.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,seasonal migration,extinct species,long distance dispersal,Island biogeography,Birds","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'seasonal migration'}, {'subject': 'extinct species'}, {'subject': 'long distance dispersal'}, {'subject': 'Island biogeography', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Birds', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['763810 bytes'],
-10.5281/zenodo.10951601,Response to Sea Surface Temperature and Primary Productivity to change in Earth's Orbit Eccentricity - Simulations,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains ocean and ocean biogeochemistry outputs from modeling experiments with present-day geography and various Earth's orbit confiurations. The set of simulation targets the role of Eccentricity on the tropical ocean sea surface temperature and primary productivity (Beaufort & Sarr, 2024) . The simulations have been run using the IPSL-CM5A2 General Circulation Model (Sepulchre et al. 2020 - IPSL-CM5A2 â€“ an Earth system model designed formulti-millennial climate simulations, GMD) and offline version of PISCESv2 model (Aumont et al., 2015 - PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies, GMD). It includes 4 simulations. Data are monthly averages over the last 100 years of the simulations.
-
-Complementary outputs (4 simulations) can be found at https://www.seanoe.org/data/00728/84031/ (Beaufort et al., 2022)",api,True,findable,0,0,0,0,0,2024-04-11T20:07:00.000Z,2024-04-11T20:07:00.000Z,cern.zenodo,cern,Paleoclimatology,"[{'subject': 'Paleoclimatology', 'subjectScheme': 'EuroSciVoc'}]",,
-10.5281/zenodo.10958418,NNXRD-mfraction datasets,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Datasets from ""Neural networks for rapid phase quantification of Cultural Heritage X-ray powder diffraction data"" needed to run the codes at: https://github.com/polinev/NNXRD-mfraction.
-
-Some more information regarding the files:
-
-
-
-Â Mock-up:
-
-
-
-rep-6_layer_0_0002_powder_short-iback_clean_corr_new.h5 = sample file with all XRD patterns pretreated
-
-dataset_mockup_rep6.pickle = dataset for neural network training
-
-best_val_loss_model_pp/h_mockup_rep6 = best model after NN training
-
-mockup_rep6_rebuilt.pickle = XRD patterns rebuilt from predictions
-
-REP6_seq_topas.h5 = data treated with serial Rietveld refinement
-
-
-
-Historical sample:
-
-
-
-S2018_157_sinogram_layer02_XRD_powder_pack_half1_short-iback_clean.h5 = data pretreated
-
-S2018_157_sinogram_layer02_XRD_powder_pack_half1-back_clean_corr_mask.h5 = other sample file that contains metadata used in the code (mask and contour)
-
-dataset_historical_sample_S157.pickle = dataset for NN training
-
-best_val_loss_model_pp/h_article.h5 = best model after NN training
-
-patterns_rebuilt_S157.pickle = XRD patterns rebuilt from predictions",api,True,findable,0,0,0,0,0,2024-04-11T07:31:59.000Z,2024-04-11T07:32:00.000Z,cern.zenodo,cern,,,,
-10.26302/sshade/experiment_zed_20230103_01,MIR spectra of phyllosilicate pellets irradiated by He+ and Ar+ ions,SSHADE/DAYSY (OSUG Data Center),2024,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",MIR spectra of phyllosilicate pellets irradiated by $Ar^+$ or $He^+$.,mds,True,findable,0,0,2,0,0,2024-04-10T15:36:00.000Z,2024-04-10T15:36:01.000Z,inist.sshade,mgeg,"laboratory measurement,confocal reflection,micro-imaging,MIR,Mid-Infrared,reflectance factor,Serpentine Rawhide,Serpentine UB-N,Saponite Griffithite,mineral,natural terrestrial,phyllosilicate","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'confocal reflection', 'subjectScheme': 'main'}, {'subject': 'micro-imaging', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Serpentine Rawhide', 'subjectScheme': 'name'}, {'subject': 'Serpentine UB-N', 'subjectScheme': 'name'}, {'subject': 'Saponite Griffithite', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'phyllosilicate', 'subjectScheme': 'compound type'}]",['9 spectra'],['ASCII']
-10.5281/zenodo.10991302,3DTeethLand: 3D Teeth Landmarks Detection Challenge,Zenodo,2024,,Other,Creative Commons Attribution 4.0 International,"Two years ago, we successfully introduced the '3DTeethSeg' challenge dealing with teeth segmentation and labeling tasks from intraoral 3D scans. Continuing from our previous challenge and striving for in-depth perception of intraoral scans, we intend to address within this version of the challenge a more complex task, teeth landmark detection. This task holds significant importance in modern clinical orthodontics. These crucial landmarks, including features such as cusps and mesial-distal locations, play a fundamental role in advancing orthodontic treatment planning and assessment in clinical dentistry. However, several significant challenges could be present given the intricate geometry of individual teeth and substantial variations between individuals. To address these complexities, the development of advanced techniques, particularly through the application of deep learning, is required for the precise detection of 3D tooth landmarks.Â Â This challenge introduces the first publicly available dataset for 3D teeth landmarks detection, encouraging community involvement in a topic with important clinical implications. It plays a key role in advancing automation and leveraging AI for optimizing orthodontic treatments.",api,True,findable,0,0,0,0,0,2024-04-19T19:36:06.000Z,2024-04-19T19:36:07.000Z,cern.zenodo,cern,"digital orthodontics,landmark detection,3D intraoral scan,3D point cloud,MICCAI 2024 challenges","[{'subject': 'digital orthodontics'}, {'subject': 'landmark detection'}, {'subject': '3D intraoral scan'}, {'subject': '3D point cloud'}, {'subject': 'MICCAI 2024 challenges'}]",,
-10.5281/zenodo.10996641,silx-kit/silx: 2.1.0: 2024/04/19,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"This version of silx supports Python 3.8 to 3.12.
-This is the first version of silx supporting numpy v2.
-
-<details><summary>
-
-What's Changed...
-
-</summary>
-
-
-
-
-silx.image.marchingsquare: Fixed cython code generation warning (PR #4110)
-
-
-
-silx.io:
-
-
-
-silx.io.specfile: Fixed compilation warnings (PR #4065)
-
-silx.io.commonh5: Improved code to use built-in types (PR #4090)
-
-
-
-
-silx.gui:
-
-
-
-silx.gui.data.RecordTableView: Fixed cell background color in dark mode (PR #4094)
-
-silx.gui.plot.PlotWidget: Fixed support of negative error values for curves and scatter plot (PR #4079)
-
-silx.gui.widgets.LegendIconWidget: Fixed logging: removing print (PR #4064)
-
-silx.gui.widgets.ElidedLabel: Fixed deprecation warning with Qt5>=5.11 (PR #4091)
-
-
-
-
-silx.math.marchingcubes: Fixed compilation warnings (PR #4065)
-
-
-
-silx.opencl.common: Changed ocl object for lazy initialization of OpenCL devices (PR #4093)
-
-
-
-silx.resources: Changed dependency from deprecated pkg_resources to importlib_resources for Python<3.9 (PR #4078)
-
-
-
-Dependencies
-
-
-
-Removed support of Python 3.7 (PR #4057)
-
-Added support of numpy v2 (PR #4082, #4100, #4108)
-
-Added requirement scipy>=1.10 for the tests (PR #4104)
-
-Fixed scipy.signal.gaussian deprecation warning (PR #4087)
-
-
-
-
-Documentation:
-
-
-
-Added how to override silx.opencl.sift parameters (PR #4107)
-
-Updated to use sphinx-design instead of sphinx-panels (PR #4063)
-
-Updated the guidelines to provide changelog in PR (PR #4058)
-
-Updated changelog (PR #4111)
-
-Fixed some links to documentation in the README (PR #4096)
-
-
-
-
-Continuous integration:
-
-
-
-Added release workflow (PR #4059)
-
-Added tests with numpy v2 (PR #4102, #4108)
-
-Fixed test by using PySide<6.7 (PR #4108)
-
-
-
-
-Build: Fixed Debian12 packaging by removing build of documentation (PR #4068)
-
-
-
-</details>
-
-New Contributors
-
-
-
-@cchndl made their first contribution in https://github.com/silx-kit/silx/pull/4094
-
-@ChannyClaus made their first contribution in https://github.com/silx-kit/silx/pull/4107
-
-
-Full Changelog: https://github.com/silx-kit/silx/compare/v2.0.1...v2.1.0",api,True,findable,0,0,0,0,0,2024-04-19T09:21:28.000Z,2024-04-19T09:21:28.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10998451,"Voter Autrement 2022 - The Online Experiment (""Un Autre Vote'')",Zenodo,2024,en,Dataset,ODC Open Database License v1.0,"Â In April 2022, we have run a voting experiment during the French presidential election. During this experiment, participants were asked to test several alternative voting methods to elect the French president, like scoring methods, instant-runoff voting, BordaÂ with partial rankings, majority judgement and pairwise comparisons. The experiment was both carried out in situ in polling stations during the first round of the presidential election (using paper ballots), and online between April 8th (two days before the first round of the election) and May 7th (using a web application). A total of 2308 participants took part in the online experiment. This dataset contains the answers provided by the participants to the online experiment, with no other processsing than a basic transformation to a set of CSV files.
-
-The companion paper available on this repository describes the experimental protocol, the format of the files, and summarizes the precise conditions under which this dataset is available.",api,True,findable,0,0,0,0,0,2024-04-19T19:44:02.000Z,2024-04-19T19:44:02.000Z,cern.zenodo,cern,"Election,Social Choice,Voting,Experimental Voting,Comsoc","[{'subject': 'Election'}, {'subject': 'Social Choice'}, {'subject': 'Voting'}, {'subject': 'Experimental Voting'}, {'subject': 'Comsoc'}]",,
-10.5281/zenodo.11005284,NeoGeographyToolkit/StereoPipeline: 2024-04-21-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,0,0,2024-04-21T17:58:07.000Z,2024-04-21T17:58:07.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10990984,"Dataset for ""Dynamics of the 2021 Fagradalsfjall eruption (Iceland) revealed by volcanic tremor patterns""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Dataset for the paper ""Dynamics of the 2021 Fagradalsfjall eruption (Iceland) revealed by volcanic tremor patterns""Â  submitted byÂ Â Jean Soubestre, Corentin Caudron, Oleg Melnik, Thomas Lecocq, Claude,Â Â Jaupart, Nikolai M. Shapiro, Cyril Journeau, YeÅŸim Ã‡ubuk-Sabuncu, KristÃn, JÃ³nsdÃ³ttir to Journal of Geophysical Research - Solid Earth.",api,True,findable,0,0,0,0,0,2024-04-18T09:30:35.000Z,2024-04-18T09:30:35.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11003937,pyxem/orix: orix 0.12.1,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"orix 0.12.1 is a patch release of orix, an open-source Python library for handling orientations, rotations and crystal symmetry.
-
-See below, the changelog or the GitHub changelog for all updates from the previous release.
-
-Fixed
-
-
-
-ax2qu and Quaternion.from_axes_angles() would raise if the input arrays were broadcastable but the final dimension was 1. This has been fixed.
-
-Phase.from_cif() now correctly adjusts atom positions when forcing",api,True,findable,0,0,0,0,0,2024-04-21T09:21:59.000Z,2024-04-21T09:22:00.000Z,cern.zenodo,cern,,,,
-10.7914/k2rg-gn94,Peri-glacial an glacial risk study seismic network,International Federation of Digital Seismograph Networks,2024,,Dataset,,"Seismic network and temporary surveys deployed in the Mont Blanc and Vanoise mountain ranges, french Alps, devoted to the study of glacial and peri-glacial risk, landslides, rockfalls and slope stability. Continuous data allow in depth analysis of ambient seismic noise, but also micro-sismicity and regional seismicity.
-These network and survey are conducted in the framework of the ""PAPROG""  National action plan for the prevention of glacial and periglacial risks, financed by the French Ministry of the Environment's General Directorate for Risk Prevention.",api,True,findable,0,0,0,0,0,2024-04-17T16:57:03.000Z,2024-04-17T16:57:04.000Z,iris.iris,iris,,,['2000000 MB'],['SEED data']
-10.5281/zenodo.10886304,"Data from ""Allostery and evolution: a molecular journey throught the structural and dynamical landscape of an enzyme super family.""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This dataÂ accompanies the paperÂ entitled Allostery and evolution: a molecular journey throught the structural and dynamical landscape of an enzyme super family.
-
-The zip archive contains:Â 
-
-1- Starting configurations of the proteins after equilibration in PDB format and trajectories of unrestrained molecular dynamics simulations with the positions of the proteins every 100 ps in XTC gromacs format are provided for all systems.Â 
-
-2- The free energy profiles and histograms are provided for all umbrella sampling simulations and the scripts used to run it with gromacs.",api,True,findable,0,0,0,0,1,2024-04-23T09:36:21.000Z,2024-04-23T09:36:21.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11068854,Polymeric Fibers Effect on the Unidirectional Drying of Refractory Castables via Neutron Tomography,Zenodo,2024,en,Text,Creative Commons Attribution 4.0 International,"In order to safely reach the operating conditions, hydraulic bonded refractories require the controlled removal of the water during their initial heating. As the microstructure of these materials after curing comprises small pores loosely connected, their resulting permeability is small, thereby favoring the vapor pressure build-up during heating. The combination of such forces with the thermomechanical stresses is believed to trigger the explosive spalling phenomenon, which severely damages the refractory lining. Thus, polymeric fibers are often used as a cost-effective method to control the permeability of refractory castables. However, due to the vast assortment of available candidates, the correct understanding of the permeability behavior of castable's comprising such additives during drying is crucial. The current work used neutron tomography to study the effects of polypropylene (PP), polyethylene (PE), and cellulose on the unidirectional drying of high-alumina castables. It was found that the compositions containing PE and cellulose were the ones that started the drying process with the highest heating rates, with cellulose leading to larger drying. Whereas the composition containing PP started to have drying acceleration at later stages but still resulted in similar efficiencies to cellulose. Finally, preliminary hypotheses are presented to explain the observed behavior.",api,True,findable,0,0,0,0,0,2024-04-25T19:46:49.000Z,2024-04-25T19:46:49.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11036558,CROCO Technical and Numerical Documentation,Zenodo,2024,en,Text,Creative Commons Attribution 4.0 International,Technical and numerical documentation for CROCO ocean circulation modelhttps://www.croco-ocean.org/,api,True,findable,0,0,0,0,0,2024-04-22T16:15:23.000Z,2024-04-22T16:15:23.000Z,cern.zenodo,cern,ocean modeling,[{'subject': 'ocean modeling'}],,
-10.5281/zenodo.11068853,Polymeric Fibers Effect on the Unidirectional Drying of Refractory Castables via Neutron Tomography,Zenodo,2024,en,Text,Creative Commons Attribution 4.0 International,"In order to safely reach the operating conditions, hydraulic bonded refractories require the controlled removal of the water during their initial heating. As the microstructure of these materials after curing comprises small pores loosely connected, their resulting permeability is small, thereby favoring the vapor pressure build-up during heating. The combination of such forces with the thermomechanical stresses is believed to trigger the explosive spalling phenomenon, which severely damages the refractory lining. Thus, polymeric fibers are often used as a cost-effective method to control the permeability of refractory castables. However, due to the vast assortment of available candidates, the correct understanding of the permeability behavior of castable's comprising such additives during drying is crucial. The current work used neutron tomography to study the effects of polypropylene (PP), polyethylene (PE), and cellulose on the unidirectional drying of high-alumina castables. It was found that the compositions containing PE and cellulose were the ones that started the drying process with the highest heating rates, with cellulose leading to larger drying. Whereas the composition containing PP started to have drying acceleration at later stages but still resulted in similar efficiencies to cellulose. Finally, preliminary hypotheses are presented to explain the observed behavior.",api,True,findable,0,0,0,0,0,2024-04-25T19:46:49.000Z,2024-04-25T19:46:50.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11068887,"Unveiling Energy-Saving Potentials in Refractory Castables Drying: Fundamentals, Predictions and Insights",Zenodo,2024,,Text,Creative Commons Attribution 4.0 International,"Hydraulic bonded refractory castables require a carefully executed drying process during their installation to safely remove the adsorbed unreacted water, as well as to decompose the hydrate products formed during curing. This processing stage is often seen as a barrier to a broader use of monolithics as an alternative to shaped products due to the risk of facing explosive spalling. To avoid that, long and often overconservative heat-up curves that hinder high productivity and lead to costly maintenance halts, are deployed. The current work proposes to approach the drying stage from a different perspective, highlighting the opportunities for energy saving uncovered by the critical and scientific understanding of the drying process. Numerical simulations and fundamentals were used together to address the challenges of energy-efficient drying and the resulting insights for future optimization of this process, will be presented.",api,True,findable,0,0,0,0,0,2024-04-25T19:57:19.000Z,2024-04-25T19:57:19.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11051468,serasset/dbnary: Release v3.1.17,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"Changelog
-
-0c71a35 Merge branch 'release/3.1.17'
-85b0739 Update versions for release
-23c8c93 fix(dutch): handling templates that look like but are not section templates (pb in dutch edition naming convention)
-e8f95bd fix(dutch): handling templates that look like but are not section templates (pb in dutch edition naming convention)
-8ca27df fix(english): handle l-lite and ll templates in Derivation Parser
-2a83d2f fix(english): More derivations extracted from English exolex (Japanese specific templates)
-523b541 fix(english): updated derivation extraction with new templates
-a891b54 fix(all): upgraded bliki version to avoid LuaError related to advance scribunto usage in english Modules
-bdefda4 fix(english): some citation contains a generic cited text
-3cef059 fix(english): fix incorrect language tag in some exolex pronunciations
-f27b6b4 fix(english): Avoid Lua computations for the generation of disregarded category tags
-b9c1f38 fix(english): taking derivations with initial glosses into account
-72bc418 Update for next development version
-df8856c Merge branch 'release/3.1.16'
-aa02403 Merge branch 'release/3.1.16' into develop
-a40ef0a Update versions for release
-be42991 cleanup(english) code convention
-1d44bbe fix(english): Extracting gloss of nyms without nowiki tags and ignoring templates
-189241f fix(wikitext): getText on a content with wikitext, will render the wikitext to protect further processing through bliki
-0748197 fix(english): workarounds to remove many errors from logging
-ff8514f Merge branch 'snyk-fix-835bb486ca337a39f591c7fe83bd0520' into 'develop'
-def1948 [Snyk] Security upgrade com.slack.api:slack-api-client from 1.38.0 to 1.39.0
-ee36072 fix(english): fixed Wiktionary Namespaces configurations through Locale to avoid a LuaError
-bacba8f fix(english): workaround a bug in Scribunto preprocess function that generated html paragraphs around simple wiki code
-44e0161 fix(wikitext): adding support for nowiki tags in wikitext parser
-0e80bae Update for next development version
-d0900f1 Merge branch 'release/3.1.15'
-5e88f5c Merge branch 'release/3.1.15' into develop
-17813db Update versions for release
-889e503 cleanup(all): code style
-0b39033 fix(all): control chars stripping used the incorrect gnu syntax instead of java character class
-c398c95 fix(cicd): add gaelic and catalan in CICD verification
-3cf74aa fix(all): strip control chars arising from ill formed data in definitions and translations
-d87bce1 update(bliki): new version of bliki uses a luaj that is safe with suplementary chars, avoiding the generation of control (null) chars in some strings
-cc40f14 fix(english): Module:utilities uses the ugly strip marker hack, patch it
-1173526 fix(lua): Updated Bliki / Lua dependencies that fixes a bug with Strings with surrogates.
-6e390b8 fix(english): links in nyms are properly handled
-5ffc6b6 fix(english): capturing more nym relation with additional gloss/usage info
-184ffee fix(english): patching Module:place and Module:place/data due to error in lua code (remove when fixed in wiktionary)
-16d0885 fix(english): extracting senses that are abbreviation of something
-7fe4607 Update for next development version
-c8eda22 Merge branch 'release/3.1.14'
-d3a6e61 Merge branch 'release/3.1.14' into develop
-065f441 update(doc): License files span until 2024
-44a3319 Update versions for release
-ea78adb update(dependencies): bumping several dependencies to latest version
-e7c696c fix(spanish): FIX #138 part of speeches may now be given in templates
-73b46d6 update(dependencies): bumping several dependencies to latest version
-e18a149 fix(spanish): part of speeches may now be given in templates
-dbc059d fix(spanish): part of speeches may now be given in templates
-870130e Merge remote-tracking branch 'origin/develop' into develop
-9727442 fix(spanish): part of speeches may now be given in templates
-531f587 fix(spanish): part of speeches may now be given in templates
-5686259 fix(english): amend logging of derivation parser
-2989357 fix(virtuoso): use coherent naming for graphs (with no trailing /)
-df88474 fix(english): Correctly handling ja-usex template variants and redirects
-dbeb07f fix(maven): update scala libraries and compiler
-19f84ff fix(english): FIX #137 handling ja-usex template
-24956f3 fix(maven): update scala library
-81456a3 fix(virtuoso): the named graph for exolex should not finish with a trailing slach
-eb569d6 Clenup virtuoso.ini in production mode.
-f870b3b fix(dependencies): update bliki version
-f3dafe0 Merge branch 'release/3.1.13'
-a103a2f Update versions for release
-72122e1 fix(catalan): error in pronunciation extraction
-3335c37 fix(catalan): many bibliographic references are blank
-d15df99 fix(dependencies): updated dependencies for security reasons
-771bfa2 fix(catalan): check given language before generating a lang string to avoid rdf errors.
-fe87545 fix(commands): add catalan and irish codes to the rotate virtuoso script
-9855eb3 Update for next development version
-5919911 Merge branch 'hotfix/3.1.12b' into develop
-54096e0 Update to hotfix version
-0077b4d Merge branch 'hotfix/3.1.12b'
-bcda578 fix(commands): do not generate HDT combined files anymore as it seems not to correctly work at least in English
-2286a94 enh(all): removed some code smells
-a865807 Update versions for hotfix
-2415121 fix(english): first attempt to extract pronunciations' locale information
-de6b6f3 fix(model): fixed lime:language as a measure property in statistics datacube
-5f5cd4f Update for next development version
-71438a9 Merge branch 'release/3.1.12'
-98c5887 Merge branch 'release/3.1.12' into develop
-fdb4d1d Update versions for release
-97df0a4 fix(extractor): added gaelic and catalan to default set of languages
-9902207 Merge branch 'feature/alet' into develop
-c2bafef Update versions for development branch
-d3accfe Bumping bliki version
-73eca1b Refactoring some var names.
-cf91bcf Extracting pronunciation dialect.
-116880d Patch infinite loop.
-07dba5f fix(catalan): changed bliki bundle message encoding
-d2461d1 Final commit for Catalan.
-dcc1127 commit stashed changes.
-0ea514d fix(catalan): added definition rendering
-9328c90 fix(gaelic): cleanup for code standards
-53318d1 Update for next development version
-58581fe Merge branch 'release/3.1.11' into develop
-376e686 Merge branch 'release/3.1.11'
-932175b Update versions for release
-eb2f760 fix(wikimodel): update bliki and taking into account the (now) correct management of the engine
-9922814 fix(maven/jreleaser): rollbacked problematic changes
-bd24918 Revert ""fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation""
-2aaefea fixed a doc error
-2b8e997 fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-37b81b3 Merge remote-tracking branch 'origin/master'
-b0561ea fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-52df665 fix(bliki): we recreate lua engine for each page as nasty caches are flying around and break page isolation
-511a9dd fix(maven/jreleaser): rollbacked problematic changes
-e256104 Update for next development version
-9ee6432 Merge branch 'release/3.1.10'
-fe3f322 Merge branch 'release/3.1.10' into develop
-37962ef Update versions for release
-e2ec953 fix(serbo croatian): Fix #18: cyrilic form is now added to the canonical form
-19a5577 fix(german): Fix #24: now expand German definition using bliki
-326f2db fix(commands): catching StackOverflowError in extraction command lines
-2eef6e0 fix(commands): catching StackOverflowError in extraction command lines
-f9b9f24 fix(wikitext): fixed a stack overflow issue with large  wikitext
-de3b737 fix(no): translations extraction
-b00bb06 Merge branch 'release/3.1.9'
-abce2e2 Update versions for release
-73e2e9c fix(english): fix #128 some pronunciation where missing
-3e74edd fix(greek): avoiding a rare NPE in pronunciation extraction
-61acbe1 fix(virtuoso): normalized prod virtuoso config
-c32adee fix(all): Uses a Debug lua lig in case of call with lua classes trace enabled
-b747c58 fix(greek): updted scribunto to handle some greek edge case issues in Lua Modules
-c09b117 Merge branch 'develop'
-60240fe Update versions for release
-88e2f43 fix(extractor): updated scribunto and lua engine to cope with recently introduced errors from English Modules
-e419b1c Merge branch 'feature/struct-checker' into develop
-8846aad Update versions for development branch
-c49d088 fix(loading): re-enabling the vartrans translatableAs link creation for non homonymous translation targets
-33b4a1a enhancement(en) updated run conf
-525d756 fix(all) systematically removing safesubst from templates
-4eab720 Merge branch 'release/3.1.7'
-5c67c6f Update versions for release
-b9de781 fix(german) added new vorname declination template extraction
-5c1d44a fix(german) incorrect declination filter for adjectives
-00fa112 Modified launch configuration
-095fea5 Merge branch 'hotfix/3.1.6-a'
-6620739 Update versions for hotfix
-7120e3e Merge branch 'hotfix/3.1.6_1'
-7b81c10 fix(french) checking language tag when creating example
-d2e6e52 fix(french) checking language tag when creating example
-7ba4ba8 Merge branch 'release/3.1.6'
-c428ecc Update versions for release
-31846a1 Merge branch 'release/3.1.5'",api,True,findable,0,0,0,1,0,2024-04-23T19:53:25.000Z,2024-04-23T19:53:25.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11070913,Regression techniques applied to particulate matter oxidative potential source apportionment,Zenodo,2024,,ComputationalNotebook,Creative Commons Attribution 4.0 International,"The regerssion techniques : Unveiling the optimal regression model for source apportionment of the oxidative potential of PM ( Dinh Ngoc Thuy, V., Jaffrezo, J.-L., Hough, I., Dominutti, P., Salque Moreton, G., Gilles, G., Francony, F., Patron-Anquez, A., Favez, O., and Uzu, G.: Unveiling the optimal regression model for source apportionment of the oxidative potential of PM, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-361, 2024.)
-
-The code will be available when the article is published.
-
-One part of these codes is based on the model set up (Bootstraping and weighted least square), as described in Weber et al. (2021).Â 
-
-Â ",api,True,findable,0,0,0,0,0,2024-04-26T08:52:52.000Z,2024-04-26T08:52:52.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11058213,An experimental dataset to explore the size ratio impact on an intruder segregating in bedload transport,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This repository gathers :
-
-
-
-The treated data used in the article ""Exploring the size ratio impact on an intruder segregating in bedload transport"" from Dedieu B., Rousseau H., Frey P. and Chauchat J. (currently under review in Physical Review of Fluids),
-
-Some re-computed data from the experiments of Rousseau H. et al.(2022) in csv format,
-
-A python3 packageÂ codes used to load the data.
-
-
-Explanations on how to use the codes and how the data are organized can be found in the README.md.
-
-Feel free to contact the authors if you need more information or wish to access the raw image data.",api,True,findable,0,0,0,0,0,2024-04-24T15:45:42.000Z,2024-04-24T15:45:42.000Z,cern.zenodo,cern,"Bedload,Grain-size segregation,Granular physics,Sediment transport","[{'subject': 'Bedload'}, {'subject': 'Grain-size segregation'}, {'subject': 'Granular physics'}, {'subject': 'Sediment transport'}]",,
-10.5281/zenodo.11070914,Regression techniques applied to particulate matter oxidative potential source apportionment,Zenodo,2024,,ComputationalNotebook,Creative Commons Attribution 4.0 International,"The regerssion techtiques : Unveiling the optimal regression model for source apportionment of the oxidative potential of PM ( Dinh Ngoc Thuy, V., Jaffrezo, J.-L., Hough, I., Dominutti, P., Salque Moreton, G., Gilles, G., Francony, F., Patron-Anquez, A., Favez, O., and Uzu, G.: Unveiling the optimal regression model for source apportionment of the oxidative potential of PM, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-361, 2024.)
-
-The code will be available when the article is published.
-
-One part of these codes is based on the model set up (Bootstraping and weighted least square), as described in Weber et al. (2021).Â 
-
-Â ",api,True,findable,0,0,0,0,0,2024-04-26T08:52:52.000Z,2024-04-26T08:52:52.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11068960,Visualizando A Secagem De Concretos RefratÃ¡rios Via Tomografia De NÃªutrons,Zenodo,2024,,Text,Creative Commons Attribution 4.0 International,"RefratÃ¡rios monolÃticos sÃ£o uma alternativa aos materiais conformados (tijolos) e apresentam um grande potencial de reduÃ§Ã£o de consumo de energia e emissÃ£o de gases do efeito estufa, uma vez que nÃ£o necessitam de uma prÃ©-queima, antes de seu aquecimento atÃ© a temperatura de operaÃ§Ã£o. Dentro desta categoria, os refratÃ¡rios com ligantes hidrÃ¡ulicos sÃ£o definidos a partir de sua alta resistÃªncia mecÃ¢nica a verde decorrente das reaÃ§Ãµes de hidrataÃ§Ã£o do seu ligante durante a etapa de cura. Como as temperaturas de operaÃ§Ã£o dos refratÃ¡rios sÃ£o muito superiores que a da ebuliÃ§Ã£o da Ã¡gua, o processo de secagem Ã© intrÃnseco aos refratÃ¡rios hidrÃ¡ulicos. Esta etapa tambÃ©m Ã© a mais longa dentro do processo de instalaÃ§Ã£o de revestimentos monolÃticos devido ao risco de explosÃµes resultantes da combinaÃ§Ã£o de pressurizaÃ§Ã£o do vapor de Ã¡gua e de tensÃµes termomecÃ¢nicas. Assim, o entendimento de como a remoÃ§Ã£o desta Ã¡gua se dÃ¡ do meio poroso parcialmente saturado Ã© de grande interesse para permitir a otimizaÃ§Ã£o deste processo. O presente trabalho propÃµe o uso da tÃ©cnica de tomografia de nÃªutrons para a visualizaÃ§Ã£o direta da secagem. Foi possÃvel propor uma configuraÃ§Ã£o de secagem unidirecional, necessÃ¡ria para impedir o aparecimento de efeitos nÃ£o-fÃsicos nos resultados e tambÃ©m aproximar as condiÃ§Ãµes laboratoriais daquela encontrada na realidade industrial. AlÃ©m da visualizaÃ§Ã£o direta, a anÃ¡lise quantitativa do acÃºmulo de Ã¡gua foi possÃvel, bem como a proposta de mapas de secagem, nos quais se evidenciam as frentes de secagem, as regiÃµes de acÃºmulo de Ã¡gua e sua evoluÃ§Ã£o no tempo. Adicionalmente, os resultados obtidos por tal tÃ©cnica sÃ£o de suma importÃ¢ncia para aperfeiÃ§oar os modelos numÃ©ricos disponÃveis na literatura.",api,True,findable,0,0,0,0,0,2024-04-25T20:30:19.000Z,2024-04-25T20:30:19.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.7400758,CROCO Technical and Numerical Documentation,Zenodo,2024,en,Text,Creative Commons Attribution 4.0 International,Technical and numerical documentation for CROCO ocean circulation modelhttps://www.croco-ocean.org/,mds,True,findable,0,0,0,0,4,2022-12-05T15:13:30.000Z,2022-12-05T15:13:31.000Z,cern.zenodo,cern,ocean modeling,[{'subject': 'ocean modeling'}],,
-10.5281/zenodo.11058212,An experimental dataset to explore the size ratio impact on an intruder segregating in bedload transport,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This repository gathers :
-
-
-
-The treated data used in the article ""Exploring the size ratio impact on an intruder segregating in bedload transport"" from Dedieu B., Rousseau H., Frey P. and Chauchat J. (currently under review in Physical Review of Fluids),
-
-Some re-computed data from the experiments of Rousseau H. et al.(2022) in csv format,
-
-A python3 packageÂ codes used to load the data.
-
-
-Explanations on how to use the codes and how the data are organized can be found in the README.md.
-
-Feel free to contact the authors if you need more information or wish to access the raw image data.",api,True,findable,0,0,1,0,1,2024-04-24T15:45:42.000Z,2024-04-24T15:45:42.000Z,cern.zenodo,cern,"Bedload,Grain-size segregation,Granular physics,Sediment transport","[{'subject': 'Bedload'}, {'subject': 'Grain-size segregation'}, {'subject': 'Granular physics'}, {'subject': 'Sediment transport'}]",,
-10.5281/zenodo.11073596,Regression techniques applied to particulate matter oxidative potential source apportionment,Zenodo,2024,,ComputationalNotebook,Creative Commons Attribution 4.0 International,"The regerssion techniques : Unveiling the optimal regression model for source apportionment of the oxidative potential of PM ( Dinh Ngoc Thuy, V., Jaffrezo, J.-L., Hough, I., Dominutti, P., Salque Moreton, G., Gilles, G., Francony, F., Patron-Anquez, A., Favez, O., and Uzu, G.: Unveiling the optimal regression model for source apportionment of the oxidative potential of PM, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-361, 2024.)
-
-The code will be available when the article is published.
-
-One part of these codes is based on the model set up (Bootstraping and weighted least square), as described in Weber et al. (2021).Â 
-
-Â ",api,True,findable,0,0,0,0,0,2024-04-26T14:45:47.000Z,2024-04-26T14:45:47.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11068886,"Unveiling Energy-Saving Potentials in Refractory Castables Drying: Fundamentals, Predictions and Insights",Zenodo,2024,,Text,Creative Commons Attribution 4.0 International,"Hydraulic bonded refractory castables require a carefully executed drying process during their installation to safely remove the adsorbed unreacted water, as well as to decompose the hydrate products formed during curing. This processing stage is often seen as a barrier to a broader use of monolithics as an alternative to shaped products due to the risk of facing explosive spalling. To avoid that, long and often overconservative heat-up curves that hinder high productivity and lead to costly maintenance halts, are deployed. The current work proposes to approach the drying stage from a different perspective, highlighting the opportunities for energy saving uncovered by the critical and scientific understanding of the drying process. Numerical simulations and fundamentals were used together to address the challenges of energy-efficient drying and the resulting insights for future optimization of this process, will be presented.",api,True,findable,0,0,0,0,0,2024-04-25T19:57:19.000Z,2024-04-25T19:57:20.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11071884,Regression techniques applied to particulate matter oxidative potential source apportionment,Zenodo,2024,,ComputationalNotebook,Creative Commons Attribution 4.0 International,"The regerssion techniques : Unveiling the optimal regression model for source apportionment of the oxidative potential of PM ( Dinh Ngoc Thuy, V., Jaffrezo, J.-L., Hough, I., Dominutti, P., Salque Moreton, G., Gilles, G., Francony, F., Patron-Anquez, A., Favez, O., and Uzu, G.: Unveiling the optimal regression model for source apportionment of the oxidative potential of PM, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-361, 2024.)
-
-The code will be available when the article is published.
-
-One part of these codes is based on the model set up (Bootstraping and weighted least square), as described in Weber et al. (2021).Â 
-
-Â ",api,True,findable,0,0,0,0,0,2024-04-26T10:20:17.000Z,2024-04-26T10:20:18.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11068626,pyxem/orix: orix 0.12.1.post0,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"orix 0.12.1.post0 is a patch release of orix, an open-source Python library for handling orientations, rotations and crystal symmetry.
-
-This release is necessary to fix the formatting of two tutorial notebooks in the documentation. This also fixes the PDF documentation build.
-
-See below, the changelog or the GitHub changelog for all updates from the previous release.",api,True,findable,0,0,0,0,0,2024-04-25T17:45:29.000Z,2024-04-25T17:45:29.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10886305,"Data from ""Allostery and evolution: a molecular journey throught the structural and dynamical landscape of an enzyme super family.""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This dataÂ accompanies the paperÂ entitled Allostery and evolution: a molecular journey throught the structural and dynamical landscape of an enzyme super family.
-
-The zip archive contains:Â 
-
-1- Starting configurations of the proteins after equilibration in PDB format and trajectories of unrestrained molecular dynamics simulations with the positions of the proteins every 100 ps in XTC gromacs format are provided for all systems.Â 
-
-2- The free energy profiles and histograms are provided for all umbrella sampling simulations and the scripts used to run it with gromacs.",api,True,findable,0,0,0,0,0,2024-04-23T09:36:21.000Z,2024-04-23T09:36:21.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11077599,NeoGeographyToolkit/StereoPipeline: 2024-04-27-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,0,0,2024-04-27T15:55:22.000Z,2024-04-27T15:55:23.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11068836,The Role of Thermomechanical Stresses in the Explosive Spalling of Refractory Castables: A Numerical Study,Zenodo,2024,en,Text,Creative Commons Attribution 4.0 International,"The drying of hydraulic bonded refractory castables is the longest step of its installation process hindering higher efficiency and leading to larger CO2 emissions. This overconservative approach is a result of several cases of explosive spalling, which can be observed when fast heating rates are applied. Currently, it is assumed that the mechanisms behind this phenomenon are related to the combined stresses resulting from the water vapor pressure within the castable's pores and from the differential thermal expansion of the lining. In industrial practice, most of the strategies employed to mitigate the risk of explosions focus on the former mechanism, such as the use of polymeric fibers to increase the material's permeability. The current study aims to analyze the role of thermomechanical stresses on explosive spalling through numerical simulations. The main objective is to provide additional strategies to minimize the likelihood of facing such catastrophic events through the control of the thermal stresses inside the refractory lining. It was found that the heterogeneous heating in the vertical direction led to significant stress levels that contributed to the appearance of explosive spalling. Thus, the use of more homogeneous heating could enable faster and safer water withdrawal.",api,True,findable,0,0,0,0,0,2024-04-25T19:34:26.000Z,2024-04-25T19:34:26.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11068835,The Role of Thermomechanical Stresses in the Explosive Spalling of Refractory Castables: A Numerical Study,Zenodo,2024,en,Text,Creative Commons Attribution 4.0 International,"The drying of hydraulic bonded refractory castables is the longest step of its installation process hindering higher efficiency and leading to larger CO2 emissions. This overconservative approach is a result of several cases of explosive spalling, which can be observed when fast heating rates are applied. Currently, it is assumed that the mechanisms behind this phenomenon are related to the combined stresses resulting from the water vapor pressure within the castable's pores and from the differential thermal expansion of the lining. In industrial practice, most of the strategies employed to mitigate the risk of explosions focus on the former mechanism, such as the use of polymeric fibers to increase the material's permeability. The current study aims to analyze the role of thermomechanical stresses on explosive spalling through numerical simulations. The main objective is to provide additional strategies to minimize the likelihood of facing such catastrophic events through the control of the thermal stresses inside the refractory lining. It was found that the heterogeneous heating in the vertical direction led to significant stress levels that contributed to the appearance of explosive spalling. Thus, the use of more homogeneous heating could enable faster and safer water withdrawal.",api,True,findable,0,0,0,0,0,2024-04-25T19:34:26.000Z,2024-04-25T19:34:26.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11062163,Dataset for Low-loss SiGe waveguides for mid-infrared photonics fabricated on 200 mm wafers,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains the information contained in Figures 3, 4, 5 of the related manuscript. This research dataset should be interpreted and understood in the context of the corresponding manuscript, which has been published in Optics Express with DOI:. All relevant information regarding the dataset, how it was obtained and its context is contained in the manuscript. The data correspond to the information shown in the figures of the manuscript.Â 
-
-Each file is in .txt format, the decimal separator is a point '.' and the column separator is a tab ';'.",api,True,findable,0,0,0,0,0,2024-04-24T20:32:05.000Z,2024-04-24T20:32:05.000Z,cern.zenodo,cern,,,,
-10.5061/dryad.qz612jmps,Reproductive data Fagus sylvatica: Widespread masting breakdown in beech,Dryad,2024,en,Dataset,Creative Commons Zero v1.0 Universal,"Climate change effects on tree reproduction are poorly understood even
- though the resilience of populations relies on sufficient regeneration to
- balance increasing rates of mortality. Forest-forming tree species often
- mast, i.e. reproduce through synchronised year-to-year variation in seed
- production, which improves pollination and reduces seed predation. Recent
- observations in European beech show, however, that current climate change
- can dampen interannual variation and synchrony of seed production, and
- that this masting breakdown drastically reduces the viability of seed
- crops. Importantly, it is unclear under which conditions masting breakdown
- occurs, and how widespread breakdown is in this pan-European species.
- Here, we analysed 50 long-term datasets of population-level seed
- production, sampled across the distribution of European beech, and
- identified increasing summer temperatures as the general driver of masting
- breakdown. Specifically, increases in site-specific mean maximum
- temperatures during June and July were observed across most of the species
- range, while the interannual variability of population-level seed
- production (CVp) decreased. The declines in CVp were greatest where
- temperatures increased most rapidly. Additionally, the occurrence of crop
- failures and low-seed years has decreased during the last four decades,
- signalling altered starvation effects of masting on seed predators.
- Notably, CVp did not vary among sites according to site mean summer
- temperature. Instead, masting breakdown occurs in response to warming
- local temperatures (i.e. increasing relative temperatures), such that the
- risk is not restricted to populations growing in warm average conditions.
- As lowered CVp can reduce viable seed production despite the overall
- increase in seed count, our results warn that a covert mechanism is
- underway that may hinder the regeneration potential of European beech
- under climate change, with great potential to alter forest functioning and
- community dynamics.",mds,True,findable,0,0,0,0,0,2024-04-23T15:10:23.000Z,2024-04-23T15:10:24.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,European beech,Fagus sylvatica,Fecundity,masting,Climate change,seed production,Plant reproduction,MASTREE+","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'European beech'}, {'subject': 'Fagus sylvatica'}, {'subject': 'Fecundity', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'masting'}, {'subject': 'Climate change', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'seed production'}, {'subject': 'Plant reproduction', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'MASTREE+'}]",['358827 bytes'],
-10.5281/zenodo.11068959,Visualizando A Secagem De Concretos RefratÃ¡rios Via Tomografia De NÃªutrons,Zenodo,2024,,Text,Creative Commons Attribution 4.0 International,"RefratÃ¡rios monolÃticos sÃ£o uma alternativa aos materiais conformados (tijolos) e apresentam um grande potencial de reduÃ§Ã£o de consumo de energia e emissÃ£o de gases do efeito estufa, uma vez que nÃ£o necessitam de uma prÃ©-queima, antes de seu aquecimento atÃ© a temperatura de operaÃ§Ã£o. Dentro desta categoria, os refratÃ¡rios com ligantes hidrÃ¡ulicos sÃ£o definidos a partir de sua alta resistÃªncia mecÃ¢nica a verde decorrente das reaÃ§Ãµes de hidrataÃ§Ã£o do seu ligante durante a etapa de cura. Como as temperaturas de operaÃ§Ã£o dos refratÃ¡rios sÃ£o muito superiores que a da ebuliÃ§Ã£o da Ã¡gua, o processo de secagem Ã© intrÃnseco aos refratÃ¡rios hidrÃ¡ulicos. Esta etapa tambÃ©m Ã© a mais longa dentro do processo de instalaÃ§Ã£o de revestimentos monolÃticos devido ao risco de explosÃµes resultantes da combinaÃ§Ã£o de pressurizaÃ§Ã£o do vapor de Ã¡gua e de tensÃµes termomecÃ¢nicas. Assim, o entendimento de como a remoÃ§Ã£o desta Ã¡gua se dÃ¡ do meio poroso parcialmente saturado Ã© de grande interesse para permitir a otimizaÃ§Ã£o deste processo. O presente trabalho propÃµe o uso da tÃ©cnica de tomografia de nÃªutrons para a visualizaÃ§Ã£o direta da secagem. Foi possÃvel propor uma configuraÃ§Ã£o de secagem unidirecional, necessÃ¡ria para impedir o aparecimento de efeitos nÃ£o-fÃsicos nos resultados e tambÃ©m aproximar as condiÃ§Ãµes laboratoriais daquela encontrada na realidade industrial. AlÃ©m da visualizaÃ§Ã£o direta, a anÃ¡lise quantitativa do acÃºmulo de Ã¡gua foi possÃvel, bem como a proposta de mapas de secagem, nos quais se evidenciam as frentes de secagem, as regiÃµes de acÃºmulo de Ã¡gua e sua evoluÃ§Ã£o no tempo. Adicionalmente, os resultados obtidos por tal tÃ©cnica sÃ£o de suma importÃ¢ncia para aperfeiÃ§oar os modelos numÃ©ricos disponÃveis na literatura.",api,True,findable,0,0,0,0,0,2024-04-25T20:30:19.000Z,2024-04-25T20:30:19.000Z,cern.zenodo,cern,,,,
-10.34847/nkl.ddd67398,Pietro da Montagnana - Ploutos,NAKALA - https://nakala.fr (Huma-Num - CNRS),2024,la,Text,,Traduction en latin de la piÃ¨ce de thÃ©Ã¢tre Ploutos d'Aristophane par Pietro da Montagnana (15e siÃ¨cle),api,True,findable,0,0,0,0,0,2024-05-03T11:50:55.000Z,2024-05-03T11:50:55.000Z,inist.humanum,jbru,"TEI,Traduction,Aristophane,15e siÃ¨cle,Ploutos,latin,Pietro da Montagnana","[{'lang': 'fr', 'subject': 'TEI'}, {'lang': 'fr', 'subject': 'Traduction'}, {'lang': 'fr', 'subject': 'Aristophane'}, {'lang': 'fr', 'subject': '15e siÃ¨cle'}, {'lang': 'fr', 'subject': 'Ploutos'}, {'lang': 'fr', 'subject': 'latin'}, {'lang': 'fr', 'subject': 'Pietro da Montagnana'}]",['30687 Bytes'],['text/xml']
-10.5281/zenodo.11064977,Data from : Tree inventory data from permanent plots in French forest reserves,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"We present a dataset resulting from the first round of a national monitoring program of forest reserves. It contains 9538 permanent plots, distributed across 111 study sites in mainland France (including Corsica). Notably focusing on dead wood measurement, this protocol has primarily been applied in strict forest reserves and special nature reserves (sensu Bollmann et Braunisch 2013), with 68% (6494) of the plots being currently located in strict forest reserves (unmanaged) and 24,7% (2363 plots) in forests unmanaged for at least 50 years. Sites cover a large variety of ecological conditions, from lowland to subalpine forests, but with an underrepresentation of Mediterranean forests (Table 1). The protocol assesses all the stages of a tree's life cycle, from seedling to decomposed lying dead wood. On each plot, a combination of three sampling techniques was used: (i) fixed area inventory for regeneration, standing dead trees, living trees and coarse woody debris (CWD) with diameter over 30 cm, (ii) transect lines for CWD with diameter < 30 cm, and (iii) fixed angle plot method for living trees with a diameter at breast height (DBH) > 30 cm (using a relascopic angle of 3%). Measurements include: exact tree location (azimuth, distance), species, diameter(s), tree-related microhabitats, decay stage and bark cover, seedling cover. With the ongoing climate change, the program network can also provide important information to monitor changes in forest ecosystems. It can also be used as forest management monitoring or conservation status assessment.",api,True,findable,0,0,0,0,1,2024-04-29T07:09:43.000Z,2024-04-29T07:09:43.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11064978,Data from : Tree inventory data from permanent plots in French forest reserves,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"We present a dataset resulting from the first round of a national monitoring program of forest reserves. It contains 9538 permanent plots, distributed across 111 study sites in mainland France (including Corsica). Notably focusing on dead wood measurement, this protocol has primarily been applied in strict forest reserves and special nature reserves (sensu Bollmann et Braunisch 2013), with 68% (6494) of the plots being currently located in strict forest reserves (unmanaged) and 24,7% (2363 plots) in forests unmanaged for at least 50 years. Sites cover a large variety of ecological conditions, from lowland to subalpine forests, but with an underrepresentation of Mediterranean forests (Table 1). The protocol assesses all the stages of a tree's life cycle, from seedling to decomposed lying dead wood. On each plot, a combination of three sampling techniques was used: (i) fixed area inventory for regeneration, standing dead trees, living trees and coarse woody debris (CWD) with diameter over 30 cm, (ii) transect lines for CWD with diameter < 30 cm, and (iii) fixed angle plot method for living trees with a diameter at breast height (DBH) > 30 cm (using a relascopic angle of 3%). Measurements include: exact tree location (azimuth, distance), species, diameter(s), tree-related microhabitats, decay stage and bark cover, seedling cover. With the ongoing climate change, the program network can also provide important information to monitor changes in forest ecosystems. It can also be used as forest management monitoring or conservation status assessment.",api,True,findable,0,0,0,0,0,2024-04-29T07:09:43.000Z,2024-04-29T07:09:43.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10980636,M-POPP datasets: Datasets for full page text recognition and information extraction from French handwritten and printed marriage records,Zenodo,2024,fr,Dataset,Creative Commons Attribution 4.0 International,"M-POPP datasets
-
-This repository contains 2 datasets created within the EXO-POPP project (Optical EXtraction of handwritten named entities for marriage records of the POPulation of Paris) for the task of text recognition and information extraction. These datasets have been published in End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940 [1]at ICDAR 2024.
-
-The EXO-POPP project aims to establish a comprehensive database comprising 300,000 marriage records from Paris and its suburbs, spanning the years 1880 to 1940, which are preserved in over 130,000 scans of double pages. Each marriage record may encompass up to 118 distinct types of information that require extraction from plain text. The M-POPP corpus (which stands for Marriage records of the POPulation of Paris) is the corpus on which the EXO-POPP project focuses. This corpus was built by gathering the marriage records of Paris and its suburb regions (Hauts- de-Seine, Seine-Saint-Denis, Val-de-Marne).
-
-The M-POPP corpus are a subset of the M-POPP database with annotations for full-page text recognition and named entity recognition/information extraction from both handwritten and printed documents. The first dataset comprises handwritten marriage records, while the second dataset consists of typewritten marriage records. It should be noted that even in typewritten marriage records, some handwritten information occurs, especially concerning the names of the spouses, and notes in the margin.The dataset contains single-page images obtained from the original scans of double pages via page segmentation.
-
-The structure of the files is the following:
-
-
-
-handwritten:Â the handwritten dataset
-
-
-
-images: images of the dataset divided following the split used in [1]
-
-
-
-train
-
-valid
-
-test
-
-
-
-labels:Â labels for joint handwritten text recognition and information extraction for each encoding tested in [1]
-
-
-
-printed: the printed dataset
-
-
-
-images:Â images of the dataset divided following the split used in [1]
-
-
-
-train
-
-valid
-
-test
-
-
-
-labels:Â labels for joint handwritten text recognition and information extraction for each encoding tested in [1]
-
-
-
-encoding-2-to-encoding-5.json:Â a JSON file giving the correspondence between the symbols of encoding 2 and encoding 5.
-
-
-Â 
-
-Table 1: Details on the split of the handwritten dataset.
-
-
-
-
-Â 
-Train
-Validation
-Test
-
-
-Pages
-250
-32
-32
-
-
-Acts
-344
-51
-53
-
-
-Named entities
-16727
-2223
-2517
-
-
-
-
-Â 
-
-Table 2: Details on the split of the printed dataset.
-
-
-
-
-Â 
-Train
-Validation
-Test
-
-
-Pages
-116
-14
-13
-
-
-Acts
-363
-43
-30
-
-
-Named entities
-22036
-2559
-2405
-
-
-
-
-Â 
-
-Table 3: Average annotation statistics per act for the two M-POPP datasets.
-
-
-
-
-Dataset
-# of characters
-# of words
-# of named entities
-
-
-Handwritten
-1519
-231
-48
-
-
-Printed
-1328
-200
-60
-
-
-
-
-Â 
-
-Document structure Annotation
-
-We employ the procedure applied in [2], which involves adding opening and closing tags to the character set for each text block we want to recognize.In total, we define four types of text blocks.
-
-
-
-Block A is located in the margin and contains the last names of the married couple, possibly with their first names and the date of the marriage.
-
-Block B is the body of the text. Block B is the one that contains most of the information to be extracted.
-
-Block C is optional and corresponds to marginal notes used in various cases, such as the mention of a divorce or a correction made to the act.
-
-Block D corresponds to a set containing a block A and a block B, optionally with one or more blocks C.
-
-
-Â 
-
-Information Extraction annotation
-
-The dataset contains 118 information categories. As explained in the paper, we broke down the named entities into sub-elements pertaining to 4 hierarchical levels, which reduces the total number of categories to 23 instead of 118. Notice that level 1, 2, and 3 categories do not encode named entities but rather the relations that may occur between some lower level categories for example: (day, birth, husband) encodes the fact that the annotated piece of text is the date of birth of the husband.Â 
-
-For these datasets, we chose to represent these hierarchical elements with emojis. For instance, the information first name is represented by the emoji ðŸ’¬.The meaning of each emoji can be found in Table 4. To determine the best way to encode named entities in the ground truth, we compared in [1] 5 types of encoding. To illustrate these encodings, letâ€™s take for instanceÂ Louis Alexandre MOUDEL that we define as the father of the bride, where Louis Alexandre are his two first names, and Moudel is his last name.Â 
-
-1) Single separate tags before each word: In this approach, each level of information is indicated by a dedicated tag, and the tags are placed before the word they encode information for. With this encoding, the ground truth for the example would be:
-
-ðŸ’¬ðŸ‘´ðŸ‘°Louis Â  ðŸ’¬ðŸ‘´ðŸ‘°AlexandreÂ  ðŸ—¨ï¸ðŸ‘´ðŸ‘°MOUDEL
-
-2) Single separate tags after each word: Similar to the previous approach, except here the tags are placed after the word. With this encoding the previous example becomes:
-
-LouisðŸ‘°ðŸ‘´ðŸ’¬Â  AlexandreðŸ‘°ðŸ‘´ðŸ’¬Â  MOUDELðŸ‘°ðŸ‘´ðŸ—¨ï¸
-
-3) Open & close separate tags: Here, each word presenting information to be extracted is surrounded by one or more opening and closing tags, where each tag encodes a level of information. So the example would be as:
-
-<ðŸ‘°> <ðŸ‘´> <ðŸ’¬> Louis <\ðŸ’¬> <\ðŸ‘´> <\ðŸ‘°><ðŸ‘°> <ðŸ‘´> <ðŸ’¬> Alexandre <\ðŸ’¬> <\ðŸ‘´> <\ðŸ‘°><ðŸ‘°> <ðŸ‘´> <ðŸ—¨ï¸> MOUDEL <\ðŸ—¨ï¸> <\ðŸ‘´> <\ðŸ‘°>
-
-4) Nested open & close separate tags: Similar to the previous approach, but this time a tag is closed only when the encoded information is no longer the same for that level of information. We can see in the example below that the tags for wife and father are only used twice.
-
-<ðŸ‘°> <ðŸ‘´> <ðŸ’¬> Louis Alexandre <\ðŸ’¬> <ðŸ—¨ï¸> MOUDEL <\ðŸ—¨ï¸>
-
-5) Single combined tags after each word: In the last approach, one tag encodes all the hierarchical levels constituting information. The tags are located after the word they encode information for.Â 
-
-Louis<wife_father_first_name>Â  Alexandre<wife_father_first_name>Â  MOUDEL<wife_father_family_name>
-
-NB: In the labels file of encoding 5, the information are still encoded with emojis but the chosen emojis do not have a semantic meaning due to the number of information categories to be represented. The correspondence between the symbols of encoding 2 and encoding 5 can be found in the fileÂ encoding-2-to-encoding-5.json.
-
-Â 
-
-Table 4: Details of the hierarchical breakdown of named entities. Each tag is placed in the corresponding hierarchical level and associated with the emoji representing it.
-
-
-
-
-Level
-Tags
-Â 
-Â 
-Â 
-
-
-1
-Administrative ðŸ“–
-
-
-Husband ðŸ‘¨
-
-Wife ðŸ‘°
-Witness ðŸ¥¸
-
-
-2
-Father ðŸ‘´
-Mother ðŸ‘µ
-Ex-husband ðŸ’”
-Â 
-
-
-3
-Birth ðŸ¥
-Residence ðŸ 
-Â 
-Â 
-
-
-4
-First name ðŸ’¬
-Family name ðŸ—¨ï¸
-Age âŒ›
-Occupation ðŸ”§
-
-
-5
-Street number ðŸ”Ÿ
-Street type ðŸ›£
-Street name ðŸ” 
-City ðŸŒ†
-
-
-Â 
-Department ðŸ—º
-Country ðŸ—º
-Day ðŸŒž
-Month ðŸ“…
-
-
-Â 
-Year ðŸ—“
-Hour â°
-Minute â±
-Â 
-
-
-
-
-Â 
-
-Â 
-
-Citation Request
-
-If you publish material based on this database, we request you to include a reference to the paperÂ T. Constum, L. Preel, T. Paquet, P. Tranouez, S. BrÃ©e, End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940, International Conference on Document Analysis and Recognition (ICDAR), Athens, Greece, 2024.
-
-Â 
-
-Bibliography
-
-1: T. Constum, L. Preel, T. Paquet, P. Tranouez, S. BrÃ©e, End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940, International Conference on Document Analysis and Recognition (ICDAR), Athens, Greece, 2024.
-
-2: D.Coquenet, C. Chatelain, T. Paquet: DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence pp. 1â€“17 (2023).",api,True,findable,0,0,0,0,0,2024-04-30T13:04:07.000Z,2024-04-30T13:04:08.000Z,cern.zenodo,cern,"handwriting text recognition,document understanding,named entity recognition,information extraction","[{'subject': 'handwriting text recognition'}, {'subject': 'document understanding'}, {'subject': 'named entity recognition'}, {'subject': 'information extraction'}]",,
-10.5281/zenodo.11109612,"Simulations and scripts for ""Glacier surges controlled by the close interplay between subglacial friction and drainage"".",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This repository contains the model and scripts to reproduce the results presented in ""Glacier surges controlled by the close interplay between subglacial friction and drainage"" and submitted to the Journal of Geophysical Research - Earth Surface. It provides the running model files associated with each result figure of the manuscript as well as the Python script to generate them from the simulation output. The model is also described and updated at: https://github.com/kjetilthogersen/pyGlacier.",api,True,findable,0,0,0,0,0,2024-05-03T12:54:02.000Z,2024-05-03T12:54:02.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11115059,NeoGeographyToolkit/StereoPipeline: 2024-05-05-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,0,0,2024-05-05T08:16:10.000Z,2024-05-05T08:16:10.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.10980635,M-POPP datasets: Datasets for full page text recognition and information extraction from French handwritten and printed marriage records,Zenodo,2024,fr,Dataset,Creative Commons Attribution 4.0 International,"M-POPP datasets
-
-This repository contains 2 datasets created within the EXO-POPP project (Optical EXtraction of handwritten named entities for marriage records of the POPulation of Paris) for the task of text recognition and information extraction. These datasets have been published in End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940 [1]at ICDAR 2024.
-
-The EXO-POPP project aims to establish a comprehensive database comprising 300,000 marriage records from Paris and its suburbs, spanning the years 1880 to 1940, which are preserved in over 130,000 scans of double pages. Each marriage record may encompass up to 118 distinct types of information that require extraction from plain text. The M-POPP corpus (which stands for Marriage records of the POPulation of Paris) is the corpus on which the EXO-POPP project focuses. This corpus was built by gathering the marriage records of Paris and its suburb regions (Hauts- de-Seine, Seine-Saint-Denis, Val-de-Marne).
-
-The M-POPP corpus are a subset of the M-POPP database with annotations for full-page text recognition and named entity recognition/information extraction from both handwritten and printed documents. The first dataset comprises handwritten marriage records, while the second dataset consists of typewritten marriage records. It should be noted that even in typewritten marriage records, some handwritten information occurs, especially concerning the names of the spouses, and notes in the margin.The dataset contains single-page images obtained from the original scans of double pages via page segmentation.
-
-The structure of the files is the following:
-
-
-
-handwritten:Â the handwritten dataset
-
-
-
-images: images of the dataset divided following the split used in [1]
-
-
-
-train
-
-valid
-
-test
-
-
-
-labels:Â labels for joint handwritten text recognition and information extraction for each encoding tested in [1]
-
-
-
-printed: the printed dataset
-
-
-
-images:Â images of the dataset divided following the split used in [1]
-
-
-
-train
-
-valid
-
-test
-
-
-
-labels:Â labels for joint handwritten text recognition and information extraction for each encoding tested in [1]
-
-
-
-encoding-2-to-encoding-5.json:Â a JSON file giving the correspondence between the symbols of encoding 2 and encoding 5.
-
-
-Â 
-
-Table 1: Details on the split of the handwritten dataset.
-
-
-
-
-Â 
-Train
-Validation
-Test
-
-
-Pages
-250
-32
-32
-
-
-Acts
-344
-51
-53
-
-
-Named entities
-16727
-2223
-2517
-
-
-
-
-Â 
-
-Table 2: Details on the split of the printed dataset.
-
-
-
-
-Â 
-Train
-Validation
-Test
-
-
-Pages
-116
-14
-13
-
-
-Acts
-363
-43
-30
-
-
-Named entities
-22036
-2559
-2405
-
-
-
-
-Â 
-
-Table 3: Average annotation statistics per act for the two M-POPP datasets.
-
-
-
-
-Dataset
-# of characters
-# of words
-# of named entities
-
-
-Handwritten
-1519
-231
-48
-
-
-Printed
-1328
-200
-60
-
-
-
-
-Â 
-
-Document structure Annotation
-
-We employ the procedure applied in [2], which involves adding opening and closing tags to the character set for each text block we want to recognize.In total, we define four types of text blocks.
-
-
-
-Block A is located in the margin and contains the last names of the married couple, possibly with their first names and the date of the marriage.
-
-Block B is the body of the text. Block B is the one that contains most of the information to be extracted.
-
-Block C is optional and corresponds to marginal notes used in various cases, such as the mention of a divorce or a correction made to the act.
-
-Block D corresponds to a set containing a block A and a block B, optionally with one or more blocks C.
-
-
-Â 
-
-Information Extraction annotation
-
-The dataset contains 118 information categories. As explained in the paper, we broke down the named entities into sub-elements pertaining to 4 hierarchical levels, which reduces the total number of categories to 23 instead of 118. Notice that level 1, 2, and 3 categories do not encode named entities but rather the relations that may occur between some lower level categories for example: (day, birth, husband) encodes the fact that the annotated piece of text is the date of birth of the husband.Â 
-
-For these datasets, we chose to represent these hierarchical elements with emojis. For instance, the information first name is represented by the emoji ðŸ’¬.The meaning of each emoji can be found in Table 4. To determine the best way to encode named entities in the ground truth, we compared in [1] 5 types of encoding. To illustrate these encodings, letâ€™s take for instanceÂ Louis Alexandre MOUDEL that we define as the father of the bride, where Louis Alexandre are his two first names, and Moudel is his last name.Â 
-
-1) Single separate tags before each word: In this approach, each level of information is indicated by a dedicated tag, and the tags are placed before the word they encode information for. With this encoding, the ground truth for the example would be:
-
-ðŸ’¬ðŸ‘´ðŸ‘°Louis Â  ðŸ’¬ðŸ‘´ðŸ‘°AlexandreÂ  ðŸ—¨ï¸ðŸ‘´ðŸ‘°MOUDEL
-
-2) Single separate tags after each word: Similar to the previous approach, except here the tags are placed after the word. With this encoding the previous example becomes:
-
-LouisðŸ‘°ðŸ‘´ðŸ’¬Â  AlexandreðŸ‘°ðŸ‘´ðŸ’¬Â  MOUDELðŸ‘°ðŸ‘´ðŸ—¨ï¸
-
-3) Open & close separate tags: Here, each word presenting information to be extracted is surrounded by one or more opening and closing tags, where each tag encodes a level of information. So the example would be as:
-
-<ðŸ‘°> <ðŸ‘´> <ðŸ’¬> Louis <\ðŸ’¬> <\ðŸ‘´> <\ðŸ‘°><ðŸ‘°> <ðŸ‘´> <ðŸ’¬> Alexandre <\ðŸ’¬> <\ðŸ‘´> <\ðŸ‘°><ðŸ‘°> <ðŸ‘´> <ðŸ—¨ï¸> MOUDEL <\ðŸ—¨ï¸> <\ðŸ‘´> <\ðŸ‘°>
-
-4) Nested open & close separate tags: Similar to the previous approach, but this time a tag is closed only when the encoded information is no longer the same for that level of information. We can see in the example below that the tags for wife and father are only used twice.
-
-<ðŸ‘°> <ðŸ‘´> <ðŸ’¬> Louis Alexandre <\ðŸ’¬> <ðŸ—¨ï¸> MOUDEL <\ðŸ—¨ï¸>
-
-5) Single combined tags after each word: In the last approach, one tag encodes all the hierarchical levels constituting information. The tags are located after the word they encode information for.Â 
-
-Louis<wife_father_first_name>Â  Alexandre<wife_father_first_name>Â  MOUDEL<wife_father_family_name>
-
-NB: In the labels file of encoding 5, the information are still encoded with emojis but the chosen emojis do not have a semantic meaning due to the number of information categories to be represented. The correspondence between the symbols of encoding 2 and encoding 5 can be found in the fileÂ encoding-2-to-encoding-5.json.
-
-Â 
-
-Table 4: Details of the hierarchical breakdown of named entities. Each tag is placed in the corresponding hierarchical level and associated with the emoji representing it.
-
-
-
-
-Level
-Tags
-Â 
-Â 
-Â 
-
-
-1
-Administrative ðŸ“–
-
-
-Husband ðŸ‘¨
-
-Wife ðŸ‘°
-Witness ðŸ¥¸
-
-
-2
-Father ðŸ‘´
-Mother ðŸ‘µ
-Ex-husband ðŸ’”
-Â 
-
-
-3
-Birth ðŸ¥
-Residence ðŸ 
-Â 
-Â 
-
-
-4
-First name ðŸ’¬
-Family name ðŸ—¨ï¸
-Age âŒ›
-Occupation ðŸ”§
-
-
-5
-Street number ðŸ”Ÿ
-Street type ðŸ›£
-Street name ðŸ” 
-City ðŸŒ†
-
-
-Â 
-Department ðŸ—º
-Country ðŸ—º
-Day ðŸŒž
-Month ðŸ“…
-
-
-Â 
-Year ðŸ—“
-Hour â°
-Minute â±
-Â 
-
-
-
-
-Â 
-
-Â 
-
-Citation Request
-
-If you publish material based on this database, we request you to include a reference to the paperÂ T. Constum, L. Preel, T. Paquet, P. Tranouez, S. BrÃ©e, End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940, International Conference on Document Analysis and Recognition (ICDAR), Athens, Greece, 2024.
-
-Â 
-
-Bibliography
-
-1: T. Constum, L. Preel, T. Paquet, P. Tranouez, S. BrÃ©e, End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940, International Conference on Document Analysis and Recognition (ICDAR), Athens, Greece, 2024.
-
-2: D.Coquenet, C. Chatelain, T. Paquet: DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence pp. 1â€“17 (2023).",api,True,findable,0,0,0,0,1,2024-04-30T13:04:08.000Z,2024-04-30T13:04:08.000Z,cern.zenodo,cern,"handwriting text recognition,document understanding,named entity recognition,information extraction","[{'subject': 'handwriting text recognition'}, {'subject': 'document understanding'}, {'subject': 'named entity recognition'}, {'subject': 'information extraction'}]",,
-10.5281/zenodo.11106596,Nonequilibrium Andreev resonances in ultraclean graphene Andreev interferometers,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2024-05-02T20:26:03.000Z,2024-05-02T20:26:03.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11165024,A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Syndromes Dataset,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"Simulated sydromes measurement of quantum surface code error correction.Used for the paper: ""A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction"".
-
-File names: d-<surface_code_distance>_pfr-<physical_fault_rate>_nb-<number_of_samples>
-
-The file format is a csv file with the following columns:- label: binary label (0: no error, 1: error)- syndromes: syndrome measurement sequence (tuples of the form (round, syndromes))- quantity: number of samples for this label + syndrome sequence
-
-Only distance 3 avaiable with 10M sample for each physical fault rate.
-
-The data generation rely on Stim.",api,True,findable,0,0,0,0,0,2024-05-09T18:01:53.000Z,2024-05-09T18:01:53.000Z,cern.zenodo,cern,Quantum computers,"[{'subject': 'Quantum computers', 'subjectScheme': 'EuroSciVoc'}]",,
-10.5281/zenodo.11165023,A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Syndromes Dataset,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"Simulated sydromes measurement of quantum surface code error correction.Used for the paper: ""A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction"".
-
-File names: d-<surface_code_distance>_pfr-<physical_fault_rate>_nb-<number_of_samples>
-
-Each file is formatted as csv with the following columns:
-
-
-
-label: binary label (0: no error, 1: error)
-
-syndromes: syndrome measurement sequence (tuples of the form (round, syndromes))
-
-quantity: number of samples for this label + syndrome sequence
-
-
-Only distance 3 is currently available with 10M samples for each physical fault rate.
-
-The data generation relies on Stim.",api,True,findable,0,0,0,0,0,2024-05-09T18:03:05.000Z,2024-05-09T18:03:06.000Z,cern.zenodo,cern,Quantum computers,"[{'subject': 'Quantum computers', 'subjectScheme': 'EuroSciVoc'}]",,
-10.5281/zenodo.11181682,NeoGeographyToolkit/StereoPipeline: 2024-05-12-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,0,0,2024-05-12T16:27:38.000Z,2024-05-12T16:27:38.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11173632,"Artifact data of article ""Light-weight prediction for improving energy consumption in HPC platforms"", Euro-Par 2024",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Please refer to the artifact-overview.pdf file in this dataset for instructions to reproduce the experiments we have conducted for this article, or for more context about the article.",api,True,findable,0,0,0,0,0,2024-05-10T13:26:18.000Z,2024-05-10T13:26:18.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11173631,"Artifact data of article ""Light-weight prediction for improving energy consumption in HPC platforms"", Euro-Par 2024",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Please refer to the artifact-overview.pdf file in this dataset for instructions to reproduce the experiments we have conducted for this article, or for more context about the article.",api,True,findable,0,0,0,0,0,2024-05-10T13:26:18.000Z,2024-05-10T13:26:18.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11126561,Green Function Database in ak135 for synthetic cross-correlation computation in WMSAN.,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"## DescriptionThis file is an HDF5 file containing synthetic seismic waveforms computed with AxiSEM in an axisymmetric Earth in model ak135f.It contains waveforms at various distances for a vertical point force source of 1E20 N.
-
-## Parameters
-
-Distance range from 0Â° to 180Â° with a 0.1Â° step.Source location latitudeÂ  = 90Â°, longitude = 0Â°.Sampling frequency 1Hz.Â Duration 3600s.Dominant period 1s.## ArchitectureNetworkÂ  ""L""Â 
-
-Station ""SYNTH0000"" : station at distance = 0Â° from the source location.
-
-|-- NOISE_vertforce_dirac_0-ak135f_1.s_3600s.h5/
-â”‚   â””â”€â”€ L/
-â”‚       â””â”€â”€ SYNTH0000/â”‚       â””â”€â”€ ...â”‚       â””â”€â”€ SYNTH1800/â”‚   â””â”€â”€ _metadata/
-
-Â ",api,True,findable,0,0,0,0,1,2024-05-07T13:55:40.000Z,2024-05-07T13:55:40.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11164068,A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Simulation Data,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"Simulation output data used to generate figures of the paper: ""A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction""",api,True,findable,0,0,0,0,0,2024-05-09T14:50:50.000Z,2024-05-09T14:50:51.000Z,cern.zenodo,cern,"Machine learning,Quantum computers,Nanoelectronics","[{'subject': 'Machine learning', 'subjectScheme': 'EuroSciVoc'}, {'subject': 'Quantum computers', 'subjectScheme': 'EuroSciVoc'}, {'subject': 'Nanoelectronics', 'subjectScheme': 'EuroSciVoc'}]",,
-10.5281/zenodo.11166209,A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Syndromes Dataset,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"Simulated sydromes measurement of quantum surface code error correction.Used for the paper: ""A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction"".
-
-File names: d-<surface_code_distance>_pfr-<physical_fault_rate>_nb-<number_of_samples>
-
-Each file is formatted as csv with the following columns:
-
-
-
-label: binary label (0: no error, 1: error)
-
-syndromes: syndrome measurement sequence (tuples of the form (round, syndromes))
-
-quantity: number of samples for this label + syndrome sequence
-
-
-Only distance 3 is currently available with 10M samples for each physical fault rate.
-
-The data generation relies on Stim.",api,True,findable,0,0,0,0,0,2024-05-09T18:09:34.000Z,2024-05-09T18:09:34.000Z,cern.zenodo,cern,Quantum computers,"[{'subject': 'Quantum computers', 'subjectScheme': 'EuroSciVoc'}]",,
-10.5281/zenodo.11182079,easystats/insight: insight 0.19.11,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"General
-
-
-
-More informative error message for get_varcov() when the requested
-vcov-function failed.
-
-
-Bug fixes
-
-
-
-Fixed issue with get_data() for coxme models when sourcewas set to
-""modelframe"".",api,True,findable,0,0,0,0,0,2024-05-12T19:44:28.000Z,2024-05-12T19:44:28.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11164067,A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Simulation Data,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"Simulation output data used to generate figures of the paper: ""A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction""",api,True,findable,0,0,0,0,0,2024-05-09T14:50:50.000Z,2024-05-09T14:50:51.000Z,cern.zenodo,cern,"Machine learning,Quantum computers,Nanoelectronics","[{'subject': 'Machine learning', 'subjectScheme': 'EuroSciVoc'}, {'subject': 'Quantum computers', 'subjectScheme': 'EuroSciVoc'}, {'subject': 'Nanoelectronics', 'subjectScheme': 'EuroSciVoc'}]",,
-10.5281/zenodo.11126562,Green Function Database in ak135 for synthetic cross-correlation computation in WMSAN.,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"## DescriptionThis file is an HDF5 file containing synthetic seismic waveforms computed with AxiSEM in an axisymmetric Earth in model ak135f.It contains waveforms at various distances for a vertical point force source of 1E20 N.
-
-## Parameters
-
-Distance range from 0Â° to 180Â° with a 0.1Â° step.Source location latitudeÂ  = 90Â°, longitude = 0Â°.Sampling frequency 1Hz.Â Duration 3600s.Dominant period 1s.## ArchitectureNetworkÂ  ""L""Â 
-
-Station ""SYNTH0000"" : station at distance = 0Â° from the source location.
-
-|-- NOISE_vertforce_dirac_0-ak135f_1.s_3600s.h5/
-â”‚   â””â”€â”€ L/
-â”‚       â””â”€â”€ SYNTH0000/â”‚       â””â”€â”€ ...â”‚       â””â”€â”€ SYNTH1800/â”‚   â””â”€â”€ _metadata/
-
-Â ",api,True,findable,0,0,0,0,0,2024-05-07T13:55:40.000Z,2024-05-07T13:55:40.000Z,cern.zenodo,cern,,,,
-10.34847/nkl.f9ef7ofc,"Ã‰dition TEI de la piÃ¨ce Ploutos d'Aristophane (Ve siecle avant J.-C.), traduite par Ludovicus de Puppio (XVe siÃ¨cle)",NAKALA - https://nakala.fr (Huma-Num - CNRS),2024,la,Text,,"This edition is part of the Translatoscope project of the UniversitÃ© Grenoble Alpes, dedicated to the study of the history of translations of Aristophanes. The text has been encoded in accordance with the recommendations of the Text Encoding Initiative (http://www.tei-c.org/Guidelines/P5/).
-This edition is based on the text of ms. Matrit. 4697. This is the Latin version of Aristophanes' Ploutos by Ludovicus de Puppio, which I am publishing here for the first time. I offer an interpretative diplomatic edition and a faithful transcription of the manuscript: by 'faithful transcription' I mean a transcription that resolves abbreviations (which are not indicated, so as not to burden the page with tedious typographical signs), introduces diacritical marks, standardises capitals and punctuation, and cuts out words according to modern usage, but scrupulously respects the spelling of the words in the original text. I have corrected mechanical or unintentional errors made by the copyist, to make the text of the Latin version more intelligible to readers. I have transcribed the marginal glosses that are most significant for Aristophanes' interpretation.",api,True,findable,0,0,0,0,0,2024-05-15T13:03:33.000Z,2024-05-15T13:03:33.000Z,inist.humanum,jbru,"Aristophane,latin (langue),XVe siÃ¨cle,TEI,translation,latin (langue),TEI,Traduction,Aristophane,15e siÃ¨cle,Theater--Greece,Latin language, Medieval and modern,Fifteenth century","[{'lang': 'en', 'subject': 'Aristophane'}, {'lang': 'en', 'subject': 'latin (langue)'}, {'lang': 'en', 'subject': 'XVe siÃ¨cle'}, {'lang': 'en', 'subject': 'TEI'}, {'lang': 'en', 'subject': 'translation'}, {'lang': 'fr', 'subject': 'latin (langue)'}, {'lang': 'fr', 'subject': 'TEI'}, {'lang': 'fr', 'subject': 'Traduction'}, {'lang': 'fr', 'subject': 'Aristophane'}, {'lang': 'fr', 'subject': '15e siÃ¨cle'}, {'subject': 'Theater--Greece'}, {'subject': 'Latin language, Medieval and modern'}, {'subject': 'Fifteenth century'}]",['249107 Bytes'],['text/xml']
-10.5281/zenodo.11192786,"Supported data for manuscript ""Electronic band structure of Sb2Te3"" in PHYSICAL REVIEW B, Volume 109 (2024), article 165205",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Dataset for publication DOI 10.1103/PhysRevB.109.165205, ""Electronic band structure of Sb2Te3"" in PHYSICAL REVIEW B, Volume 109 (2024), article 165205, including data for optical conductivity.
-
-The file Fig6.png is the image itsself.The files va2187_*kpbp.moc contain data of temeprature dependent dielectric function and optical conductivity used in the Fig. 6 of the paper.Â The inset of Fig. 6 contains the second derivative data and model which is included in the directory FitCP_C3 including the python script fitAllp.py.",api,True,findable,0,0,0,1,0,2024-05-17T12:41:18.000Z,2024-05-17T12:41:18.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11190775,cta-observatory/pyirf: v0.11.0 â€“ 2024-05-14,Zenodo,2024,,Software,MIT License,*pyirf* is a python3-based library for the generation of Instrument Response Functions (IRFs) and sensitivities for the Cherenkov Telescope Array (CTA),api,True,findable,0,0,0,1,0,2024-05-14T10:12:33.000Z,2024-05-14T10:12:33.000Z,cern.zenodo,cern,"gamma-ray astronomy,Imaging Atmospheric Cherenkov Telescope,IACT,CTA,instrument response,irf,python","[{'subject': 'gamma-ray astronomy'}, {'subject': 'Imaging Atmospheric Cherenkov Telescope'}, {'subject': 'IACT'}, {'subject': 'CTA'}, {'subject': 'instrument response'}, {'subject': 'irf'}, {'subject': 'python'}]",,
-10.5281/zenodo.11123211,A functional characterization of bioengineered plant communities along riverbanks,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Frequency of occurrence and information for 10 traits and 3 attributes of 356 plant taxa identified in 84 riverbank sites stabilized with soil bioengineering and in 40 reference (natural) sites in the eastern Canadian province of Quebec, Canada. Traits and attributes were obtained from the literature (different sources). The data release includes three files containing three datasets of site x species, species x traits, and trait sources. Each file contains a metadata tab with a detailed description of columns.",api,True,findable,0,0,0,0,0,2024-05-16T18:05:10.000Z,2024-05-16T18:05:10.000Z,cern.zenodo,cern,,,,
-10.57745/aqno8d,"Replication Data for : ""Hydrolysis of large-pores mesoporous silica nanoparticles: a stochastic process?""",Recherche Data Gouv,2024,,Dataset,,"Replication data for the article ""Hydrolysis of large-pores mesoporous silica nanoparticles: a stochastic process?"" The article studies the mechanism of hydrolysis of large-pores mesoporous silica nanoparticles. These nanoparticles can be very useful for the encapsulation and the release of biomolecules. Understanding their dissolution is therefore important. DLS techniques, in millimetric and micrometric volumes, are used in this study as a new tool to monitor the diameter and concentration of nanoparticles in the colloids. Unexpectedly, we found out that the diameter of the nanoparticles remained constant throughout the study, whereas the concentration decreased following a mono-exponential decay law. These observation led us to conclude that the nanoparticles stochastically fragilize and completely vanish, whereas intact nanoparticles can be found until the end of the process.",mds,True,findable,21,0,0,0,0,2024-04-03T15:40:03.000Z,2024-04-17T13:28:58.000Z,rdg.prod,rdg,,,,
-10.34847/nkl.7fdc4hi1,"Taciti et C. Velleii Paterculi scripta quae exstant; recognita, emaculata. Additique commentarii copiosissimi et notae non antea editae Paris e typographia Petri Chevalier, in monte diui Hilarii - 0007v",NAKALA - https://nakala.fr (Huma-Num - CNRS),2020,,Image,,,api,True,findable,0,0,0,0,0,2022-12-10T13:05:30.000Z,2022-12-10T13:05:31.000Z,inist.humanum,jbru,,,['58855454 Bytes'],['image/tiff']
-10.21410/7e4/rbx3re,LEGIS-2022,data.sciencespo,2023,,Dataset,,"Le projet LEGIS-2022 regroupe une trentaine de chercheurs en science politique spÃ©cialistes des Ã©tudes Ã©lectorales et du parlement, issus des principaux centres de recherches franÃ§ais, Ã  Sciences Po Paris, Sciences Po Grenoble, UniversitÃ© PanthÃ©on-Sorbonne, UniversitÃ© PanthÃ©on-Assas, UniversitÃ© de Lille, UniversitÃ© de Nice CÃ´te d'Azur. Il s'est consacrÃ© Ã  produire un Ã©tiquetage de l'appartenance partisane de chacun des 6290 candidats aux Ã©lections lÃ©gislatives de l'hexagone, des outremers et des FranÃ§ais de l'Etranger, en fonction d'une grille comportant 39 nuances politiques (contre 16 pour le bureau des Ã©lections du ministÃ¨re de l'IntÃ©rieur). Son objectif principal est de comprendre la maniÃ¨re dont l'Ã©lection Ã  venir participe de la recomposition politique en cours dans notre pays. Liste des participants au projet LEGIS-2022 Diego Antolinos-Basso, CEVIPOF/Sciences Po Claire Bloquet, CESSP/ UniversitÃ© Paris 1 PanthÃ©on-Sorbonne - Institut fÃ¼r Parlamentarismusforschung (IParl) Pierre-Henri Bono, CEVIPOF/Sciences Po FrÃ©dÃ©rik Cassor, CEVIPOF/Sciences Po Bruno CautrÃ¨s, CEVIPOF/Sciences Po Flora Chanvril, CEVIPOF/Sciences Po Bernard Dolez, CESSP/ UniversitÃ© Paris 1 PanthÃ©on-Sorbonne Martial Foucault, CEVIPOF/Sciences Po Tristan Guerra, PACTE/UniversitÃ© de Grenoble Alpes-Sciences Po Grenoble Isabelle Guinaudeau, CEE/ Sciences Po Tristan Haute, CERAPS/UniversitÃ© de Lille-Sciences Po Lille Emilien Houard-Vial, CEE/ Sciences Po Gilles Ivaldi, CEVIPOF/Sciences Po Marion Jacquet-Vaillant, CECP/UniversitÃ© Paris 2 PanthÃ©on-Assas JÃ©rÃ´me JaffrÃ©, CECOP et CEVIPOF/Sciences Po Richard Kiss (pas dâ€™appartenance universitaire) Annie Laurent, CERAPS/UniversitÃ© de Lille-Sciences Po Lille Damien Lecomte, CEE/ Sciences Po et Paris 1 PanthÃ©on-Sorbonne Vincent Martigny, ERMES/ UniversitÃ© de Nice CÃ´te d'Azur et CEVIPOF/Sciences Po Paul Max Morin, CEVIPOF-Sciences Po Florent Parmentier, CEVIPOF/Sciences Po Pascal Perrineau, CEVIPOF/Sciences Po Simon Persico, PACTE/UniversitÃ© de Grenoble Alpes-Sciences Po Grenoble Christine Pina, ERMES/UniversitÃ© de Nice CÃ´te d'Azur Max-Valentin Robert, PACTE/UniversitÃ© de Grenoble Alpes-Sciences Po Grenoble Olivier Rozenberg, CEE/ Sciences Po FrÃ©dÃ©ric Sawicki, CESSP/ UniversitÃ© Paris 1 PanthÃ©on-Sorbonne Nicolas Sormani, CEVIPOF/Sciences Po Charlotte Soubeyrand, Sciences Po Grenoble Sylvie Strudel, CECP/ UniversitÃ© Paris 2/PanthÃ©on-Assas -CEVIPOF/Sciences Po Martin Terrien, Sciences Po",mds,True,findable,0,0,0,0,0,2023-02-20T08:11:01.000Z,2023-02-21T10:00:36.000Z,inist.cdsp,jbru,,,,
-10.34847/nkl.a35br346,"Ã‰dition TEI de la piÃ¨ce Ploutos dâ€™Aristophane (Ve siÃ¨cle avant J.-C.), traduite par Marc-jean Alfonsi, 1932",NAKALA - https://nakala.fr (Huma-Num - CNRS),2024,fr,Text,,"La prÃ©sente Ã©dition sâ€™inscrit dans le cadre du projet Translatoscope de l'UniversitÃ© Grenoble Alpes, dÃ©diÃ© Ã  l'Ã©tude de lâ€™histoire des traductions dâ€™Aristophane. Lâ€™encodage du texte a Ã©tÃ© rÃ©alisÃ© en suivant les recommandations de la Text Encoding Initiative (http://www.tei-c.org/Guidelines/P5/).",api,True,findable,0,0,0,0,0,2024-05-15T09:34:39.000Z,2024-05-15T09:34:40.000Z,inist.humanum,jbru,"TEI,Traduction,Aristophane,20e siÃ¨cle,franÃ§ais (langue),TEI,translation,Aristophanes,20th century,french,Theater--Greece,20th century,French language","[{'lang': 'fr', 'subject': 'TEI'}, {'lang': 'fr', 'subject': 'Traduction'}, {'lang': 'fr', 'subject': 'Aristophane'}, {'lang': 'fr', 'subject': '20e siÃ¨cle'}, {'lang': 'fr', 'subject': 'franÃ§ais (langue)'}, {'lang': 'en', 'subject': 'TEI'}, {'lang': 'en', 'subject': 'translation'}, {'lang': 'en', 'subject': 'Aristophanes'}, {'lang': 'en', 'subject': '20th century'}, {'lang': 'en', 'subject': 'french'}, {'subject': 'Theater--Greece'}, {'subject': '20th century'}, {'subject': 'French language'}]",['113681 Bytes'],['text/xml']
-10.57745/zchker,In situ strain and stresses in two phase olivine+antigorite aggregates deformed at subduction zones pressures,Recherche Data Gouv,2024,,Dataset,,"This dataset comprises strains and stresses measured in situ using synchrotron X rays imaging and diffraction, in two-phase aggregates of olivine + antigorite deformed under subduction zones pressures (several GPa). These two-phase aggregates are a proxy for serpentinized peridotites. Please see the associated publication for discussion on the stress measurements nature and the associated hypotheses.",mds,True,findable,40,2,0,0,0,2024-02-14T14:42:11.000Z,2024-02-22T10:42:06.000Z,rdg.prod,rdg,,,,
-10.57745/4hk78j,HydRE,Recherche Data Gouv,2023,,Dataset,,The hydrological reconstruction over France â€“ called HydRE (Hydrological REconstructions) â€“ provides daily ensemble streamflow over 661 near-natural catchments of France over the 1871-2012 period. The HydRE reconstruction originated from the GR6J model using the temperature and precipitation of FYRE Climate reanalysis and evapotranspiration of the SCOPE Climate reconstruction as inputs.,mds,True,findable,45,6,0,0,0,2023-02-01T09:36:48.000Z,2023-02-01T15:12:59.000Z,rdg.prod,rdg,,,,
-10.5281/zenodo.10876141,Validation dataset for StrikeLearn,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Titre: Validation data for StrikeLearn.Annee: 2024Projet: Exploration et exploitation de marqueurs de failles sismiques dans les images satellitaires par IAAuteurs: Sarah Visage, Lea Pousse, Sophie Giffard-Roisin, Sarah Perrinel.Projet finance par RT CNESÂ  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â  Â ",api,True,findable,0,0,0,0,0,2024-05-13T12:52:45.000Z,2024-05-13T12:52:45.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11192785,"Supported data for manuscript ""Electronic band structure of Sb2Te3"" in PHYSICAL REVIEW B, Volume 109 (2024), article 165205",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Dataset for publication DOI 10.1103/PhysRevB.109.165205, ""Electronic band structure of Sb2Te3"" in PHYSICAL REVIEW B, Volume 109 (2024), article 165205, including data for optical conductivity.
-
-The file Fig6.png is the image itsself.The files va2187_*kpbp.moc contain data of temeprature dependent dielectric function and optical conductivity used in the Fig. 6 of the paper.Â The inset of Fig. 6 contains the second derivative data and model which is included in the directory FitCP_C3 including the python script fitAllp.py.",api,True,findable,0,0,0,1,1,2024-05-17T12:41:18.000Z,2024-05-17T12:41:18.000Z,cern.zenodo,cern,,,,
-10.6084/m9.figshare.25854589,Additional file 1 of Development and validation of the tic score for early detection of traumatic coagulopathy upon hospital admission: a cohort study,figshare,2024,,Image,Creative Commons Attribution 4.0 International,Supplementary file 1 (JPG 1471 kb),mds,True,findable,0,0,32,0,0,2024-05-19T03:20:59.000Z,2024-05-19T03:20:59.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Biotechnology,Cancer,Science Policy,Mental Health,Hematology,Virology,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",['1507079 Bytes'],
-10.5281/zenodo.11199603,"Artifact data of article ""Light-weight prediction for improving energy consumption in HPC platforms"", Euro-Par 2024",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Please refer to the artifact-overview.pdf file in this dataset for instructions to reproduce the experiments we have conducted for this article, or for more context about the article.",api,True,findable,0,0,0,0,0,2024-05-15T17:11:06.000Z,2024-05-15T17:11:06.000Z,cern.zenodo,cern,,,,
-10.21410/7e4/mvpn92,"Sociologie des sÃ©ries tÃ©lÃ©visÃ©es : goÃ»ts, dispositifs et modalitÃ©s de la pratique (ELIPSS 2017)",data.sciencespo,2020,,Dataset,,"L'enquÃªte Sociologie des sÃ©ries tÃ©lÃ©visÃ©es : goÃ»ts, dispositifs et modalitÃ©s de la pratique (SERIES) porte sur le goÃ»t et la consommation des sÃ©ries tÃ©lÃ©visÃ©es en France. Elle vise, d'une part, Ã  combler l'absence d'enquÃªte quantitative sur des goÃ»ts et des pratiques susceptibles d'exister au sein de la population franÃ§aise et d'autre part, Ã  apprÃ©hender la signification qu'ont acquise les sÃ©ries dans l'univers des pratiques culturelles. Tout en prolongeant les questionnements des enquÃªtes pratiques culturelles dÃ©jÃ  anciennes ou rÃ©alisÃ©es dans le cadre d'Elipss (enquÃªtes PMTI - Pratiques culturelles, MÃ©dias et Technologies de l'information), le questionnaire vise Ã  recueillir des donnÃ©es permettant de mener une sociographie du goÃ»t ""sÃ©riel"" et une sociologie des pratiques. Les questions portent sur la pratique de la tÃ©lÃ©vision, les sÃ©ries vues, les sÃ©ries prÃ©fÃ©rÃ©es ou celles rejetÃ©es, la frÃ©quence,la temporalitÃ© et les modalitÃ©s de leur visionnage. L'enquÃªte SERIES s'est dÃ©roulÃ©e en juin/juillet 2017, pendant la phase Ã©largie du panel ELIPSS. The Â« Sociology of TV Series : tastes, devices and forms of practice (2017) Â» survey studies the taste and consumption of TV Series in France. It aims, on one side, at filling the void of quantitative surveys on tastes and practices susceptible to exist in the French population, and, on the other, to grasp the contemporary meaning of TV series in the â€˜cultural practicesâ€™ universe. At the same time that the questionnaire develops the questions already addressed by previous ELIPSS-administered (PMTI-Cultural Participation, Media and Digital Practices) or other cultural practices surveys, it wishes to gather data necessary to draw the sociography of taste for TV series, and a sociology of related practices. Questions were about TV practices, TV series already seen, most appreciated or rejected series, frequency, temporality and modalities of TV series watching. The SERIES survey was administered in June and July 2017, during the ELIPSSâ€™ project enlarged phase.",mds,True,findable,0,0,0,0,0,2020-05-05T15:31:21.000Z,2020-05-05T15:31:23.000Z,inist.cdsp,jbru,,,,
-10.5281/zenodo.11183846,Source code: The socioeconomic and environmental niche of protected areas reveals global conservation gaps and opportunities,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Code and data used in the paper The socioeconomic and environmental niche of protected areas reveals global conservation gaps and opportunities (Mouillot et al. 2024) published in Nature Communications.,api,True,findable,0,0,0,1,0,2024-05-13T07:48:05.000Z,2024-05-13T07:48:05.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11183845,Source code: The socioeconomic and environmental niche of protected areas reveals global conservation gaps and opportunities,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Code and data used in the paper The socioeconomic and environmental niche of protected areas reveals global conservation gaps and opportunities (Mouillot et al. 2024) published in Nature Communications.,api,True,findable,0,0,0,1,1,2024-05-13T07:48:05.000Z,2024-05-13T07:48:05.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11183327,Catalogs of Deep Long Period Earthquakes at Klyuchevskoy Volcanic Group (Kamchatka) 2011-2012,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,0,2024-05-13T05:11:55.000Z,2024-05-13T05:11:55.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11123210,A functional characterization of bioengineered plant communities along riverbanks,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Frequency of occurrence and information for 10 traits and 3 attributes of 356 plant taxa identified in 84 riverbank sites stabilized with soil bioengineering and in 40 reference (natural) sites in the eastern Canadian province of Quebec, Canada. Traits and attributes were obtained from the literature (different sources). The data release includes three files containing three datasets of site x species, species x traits, and trait sources. Each file contains a metadata tab with a detailed description of columns.",api,True,findable,0,0,0,0,1,2024-05-16T18:05:10.000Z,2024-05-16T18:05:10.000Z,cern.zenodo,cern,,,,
-10.34847/nkl.898bw9sk,"Taciti et C. Velleii Paterculi scripta quae exstant; recognita, emaculata. Additique commentarii copiosissimi et notae non antea editae Paris e typographia Petri Chevalier, in monte diui Hilarii - I-0009",NAKALA - https://nakala.fr (Huma-Num - CNRS),2020,,Image,,,api,True,findable,0,0,0,0,0,2022-12-11T14:25:53.000Z,2022-12-11T14:25:53.000Z,inist.humanum,jbru,,,['55791168 Bytes'],['image/tiff']
-10.5281/zenodo.11215985,NeoGeographyToolkit/StereoPipeline: 2024-05-19-daily-build,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0,0,0,1,0,2024-05-19T08:24:44.000Z,2024-05-19T08:24:44.000Z,cern.zenodo,cern,,,,
-10.5281/zenodo.11208389,"Artifact data of article ""Light-weight prediction for improving energy consumption in HPC platforms"", Euro-Par 2024",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Please refer to the artifact-overview.pdf file in this dataset for instructions to reproduce the experiments we have conducted for this article, or for more context about the article.",api,True,findable,0,0,0,0,0,2024-05-17T11:44:18.000Z,2024-05-17T11:44:18.000Z,cern.zenodo,cern,,,,
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