dois-uga.csv

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 l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)”.,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 “Calibration methodology of low-costs sensors for high-quality monitoring of fine particulate matter”. 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 : Météo-France, Institut National de l'Environnement Industriel et des Risques (Ineris), Aarhus University, Norwegian Meteorological Institute (MET Norway), Jülich Institut für Energie- und Klimaforschung (IEK), Institute of Environmental Protection – 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 ±0.014 and estimated the area of affected forest at 21’500 ±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 10×10 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 vidéos ""Différences de cadrage""",NAKALA - https://nakala.fr (Huma-Num - CNRS),2023,fr,Audiovisual,,"La captation de cette vidéo a eu lieu dans le cadre du projet FOCUS(E) financé par l'IDEX de l'Université Grenoble Alpes.
Les participants (et les détenteurs de l'autorité parentale) ont consenti à 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,méthode","[{'subject': 'enfant'}, {'subject': 'méthode'}]",['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 (Jacob’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., ‘starvation’) 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: Grenié 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: Grenié 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 déc. 2019. Online at https://doi.org/10.5281/zenodo.3552836 🔧 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> 💻 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 µm) and ammonium (NH4+) salts (chloride, sulfate, formate) were prepared by mixing manually these constituents in a mortar. Reflectance spectra (from 0.4 to 4 µm) 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. Itinéraire de Christophe Séraudie, le 8 octobre 2020, Rioupéroux",NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,Other,,"Itinéraire réalisé dans le cadre du projet de recherche-création Les Ondes de l’Eau : Mémoires des lieux et du travail dans la vallée de la Romanche. AAU-CRESSON (Laure Brayer, direction scientifique) - Regards des Lieux (Laure Nicoladzé, direction culturelle). 

Pour se projeter dans le futur possible d’un territoire, rien de mieux que de commencer par s’y balader. C’est cette attitude qui guide notre rencontre avec Christophe, architecte attentif aux potentiels des lieux. Le canal : une promenade surélevée ? Les lignes électriques : des liaisons aériennes ? Accompagnés par des étudiants de l’école d’architecture, nous cheminons entre passé 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,itinéraire,matériaux de terrain éditorialisés,Histoires de vie,paysage de l'eau,histoire orale,Marche,Sens et sensations,Mémoires des lieux,Cité ouvrière,friche industrielle,méthode des itinéraires,Aménagement du territoire -- recherche,Romanche, Vallée de la (France),schémas de cohérence territoriale,gestion du risque,tissu urbain,architecture industrielle,désertification,rives -- aménagement,biens vacants","[{'lang': 'fr', 'subject': 'roman-photo'}, {'lang': 'fr', 'subject': 'itinéraire'}, {'lang': 'fr', 'subject': 'matériaux de terrain éditorialisés'}, {'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': 'Mémoires des lieux'}, {'lang': 'fr', 'subject': 'Cité ouvrière'}, {'lang': 'fr', 'subject': 'friche industrielle'}, {'lang': 'fr', 'subject': 'méthode des itinéraires'}, {'lang': 'fr', 'subject': 'Aménagement du territoire -- recherche'}, {'lang': 'fr', 'subject': 'Romanche, Vallée de la (France)'}, {'lang': 'fr', 'subject': 'schémas de cohérence territoriale'}, {'lang': 'fr', 'subject': 'gestion du risque'}, {'lang': 'fr', 'subject': 'tissu urbain'}, {'lang': 'fr', 'subject': 'architecture industrielle'}, {'lang': 'fr', 'subject': 'désertification'}, {'lang': 'fr', 'subject': 'rives -- aménagement'}, {'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. — 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-µm 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 µm) of mixtures of sub-µm 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 réacteur de type MSFR en sels chlorures et en cycle uranium,Zenodo,2024,fr,Text,Creative Commons Attribution 4.0 International,"Depuis le début des années 2000 et suite à la loi Bataille en France, l’équipe MSFR du LPSC de Grenoble a repris le concept des réacteurs à sels fondus, donnant progressivement forme au Molten Salt Fast Reactor (MSFR) de référence. Ce surrégénérateur de 3GWth utilise des sels à base fluor et le cycle thorium. Dans l’optique de proposer un modèle plus à même d’utiliser les matières disponibles (uranium appauvri et noyaux lourds des combustibles usés), cette thèse porte sur l’étude d’un MSFR en cycle uranium.Pour s’affranchir d’éventuels problèmes de solubilité des transuraniens (TRU) en sels fluorures, le sel combustible retenu est un mélange eutectique NaCl-appUCl3-(TRU)Cl3. Ce sel étant un moins bon caloporteur et plus transparent aux neutrons que son équivalent du MSFR fluorure de référence, les travaux de thèse ont d’abord porté sur des études du volume optimal de sel combustible, qui a été porté de 18m3 (MSFR de référence) à 45m3 (MSFR-Cl). Un volume de 20m3 se trouve dans le coeur (optimisation neutronique) et 25m3 sont dans les boucles de recirculation contenant les échangeurs de chaleur (optimisation thermique). Pour améliorer le facteur de régénération du réacteur, une couverture fertile radiale est placée autour de la zone centrale. La composition du sel fertile résulte d’une optimisation principalement entre le débit de retraitement et la résistance à la prolifération. Les études de conception effectuées durant la thèse incluent le dimensionnement des protections neutroniques en tenant compte de la circulation des précurseurs de neutrons retardés, et du vase d’expansion dédié à accommoder la dilatation du sel combustible.Pour tirer un maximum de bénéfices de la forme liquide des sels, le réacteur peut être connecté à une unité de traitement. L’extraction régulière des produits de fission permet ainsi de réduire le terme source et les processus de corrosion tout en améliorant l’économie neutronique, et ce sans besoin d’arrêt du réacteur. Un schéma de principe du traitement envisagé a été conçu durant la thèse en collaboration avec des experts en chimie.Des calculs neutroniques statiques puis en évolution ont été réalisés avec divers codes neutroniques (MCNP couplé au code d’évolution REM, Serpent2) pour évaluer les performances du système (contre-réactions, bilans massiques). Des études préliminaires de déploiement de ce type de réacteurs ont été menées pour évaluer l’impact de l’insertion du MSFR-Cl dans un parc de REP, en comparaison du MSFR de référence.Pour finir, et suite aux limites rencontrées avec le MSFR-Cl, un modèle innovant d'incinérateur de petite taille en cycle uranium à couverture fertile thoriée a été étudié, 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 l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)”.","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-flume 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-flume. 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 °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 – OSUG – 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 °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 « Cosine_Similarity_UN-Press », represents the cosine similarity scores between the UN version and the press version of the most specific and widely distributed « climate terms » shared by these two communities. The second file, entitled « Collocates_UN-Press » contains two spreadsheets which respectively compares the collocates of the terms « adaptation » and « energy security » 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 - Réseau Sismologique et géodésique Français,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. ",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 Gaüzère et al. published in Current Biology
Pierre Gaüzère
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. 
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
 
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  in drug prescriptions.
 
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.
 
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.
 
| Category             | Sessions | Recordings | Time(m)|
|-----------------------| ------------- | --------------- | ----------- |
| Medical experts  |     258      |       434       |    94.83  |
| Doctors               |     230      |       570       |  105.21  |
| Non experts        |     415      |       977       |    62.13  |
| Total                   |     903      |      1981      |  262.27  |
 
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.
 
How to cite this corpus
 
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
 
@InProceedings{Kocabiyikoglu2022,
 author =  ""Alican Kocabiyikoglu and Fran{\c c}ois Portet and Prudence Gibert and Hervé Blanchon and Jean-Marc Babouchkine and Gaëtan Gavazzi"",
 title =  ""A spoken drug prescription datset in French for spoken Language Understanding"",
 booktitle =  ""13th Language Ressources and Evaluation Conference (LREC 2022)"",
 year =  ""2022"",
 location =  ""Marseille, France""
}
a more complete description of the corpus acquisition is available on arxiv 
@misc{kocabiyikoglu2023spoken,
     title={Spoken Dialogue System for Medical Prescription Acquisition on Smartphone: Development, Corpus and Evaluation},
     author={Ali Can Kocabiyikoglu and François Portet and Jean-Marc Babouchkine and Prudence Gibert and Hervé Blanchon and Gaëtan Gavazzi},
     year={2023},
     eprint={2311.03510},
     archivePrefix={arXiv},
     primaryClass={cs.CL}
}
 
Project Structure
 
The project contains the following elements
.
├── LICENSE
├── PxDialogue/
├── PxSLU/
├── readme.md
 
PxSLU : Prescription Corpus for Spoken Language Understanding
 
Directory Structure
.
├── LICENSE
├── metadata.txt
├── paths.txt
├── PxSLU_conll.txt
├── readme.md
├── recordings
├── seq.in
├── seq.label
├── seq.out
├── Demo.ipynb
└── verifications.py
 
Recordings
 
The recordings directory contains the 903 recording sessions. Each session can contain several recordings. For instance,
the directory
   recordings/J7aVvWb67L
contains the records    
   recording_0.wav  recording_2.wav
which represent two attempts to record a drug prescription
 
All records are stored as mono channel wav files of 16kHz 16bits signed PCM
 
Paths
 
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
...
 
All other files (metadata.txt, seq.*) refer to this list to describe the recording.
 
Metadata
 
contains the information about the participants:
 
48,60+,F,non-expert
48,60+,F,non-expert
24,18–28,F,doctor
24,18–28,F,doctor
...
 
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.
 
Labels
 
the three files seq.label, seq.in, seq.out represent respectivly the intent, the transcript and the entities in BIO format.
 
     seq.label               |                 seq.in                                 |                            seq.out
medical_prescription | flagyl 500 milligrammes euh qu/ en... | B-drug B-d_dos_val B-d_dos_up O O ...
medical_prescription |   3 comprimés par jour matin midi ...   | B-dos_val B-dos_uf O O B-rhythm_tdte B-rhythm_tdte O B-rhythm_tdte ...
              ...                 |                             ...                             |                             ...
 
These lines are synchronised with the paths.txt lines.
 
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.
 
Scripts
 
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.
 
 
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
 
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,...).
 
PxDialogue : Prescription recording corpus for dialogue systems
 
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:
├── events.txt
├── dialogue_annotations.txt
 
 
Events.txt:
 
For each dialogue session, all dialogue events are given in this text file
which can be used to train/evaluate dialogue systems.
 
Usage example:
 
PxSLU (paths.txt)
- 00MYcyVK0t/recording_0.wav
- 00MYcyVK0t/recording_2.wav
 
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 médicament correspondant à votre recherche', 34) (2, 'user', 'UI', 'listview_item_clicked', 40) (2, 'system', 'TTS', 'Pourriez vous préciser la posologie pour le patient?', 40) (3, 'user', 'ASR', '3 comprimés 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 validée avec succès. Traitement ajouté sur le dossier du patient', 73) (-1, 'END', 'APP', '', 73)
- N/A
 
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.
 
(-1, 'START', 'APP', None, 0)
 
- 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)
 
Dialogue annotations
 
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.
 
Each line contains a keyword, either [Fail] or [OK]. The following example shows a dialogue sample with annotations:
 
| dialogue_annotations.txt |  paths.txt                                | seq.in                                                                                            |
|----------------------------------|----------------------------------------|--------------------------------------------------------------------------------------|
| OK                                  | 14yHtAe555/recording_0.wav | oxytetracycline solution euh                                                          |
| OK                                  | 14yHtAe555/recording_1.wav | oxytetracycline solution 5 gouttes matin et soir pendant 14 jours |
| Fail                                  | 14yHtAe555/recording_2.wav | oxytetracycline solution 5 gouttes matin et soir pendant 14 jours |
 
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.  
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.
 
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.
 
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
 
For example for the following dialogue session (lines 1:2 of paths.txt):
00MYcyVK0t/recording_0.wav
00MYcyVK0t/recording_2.wav
 
Events.txt include two ASR events:
(1, 'user', 'ASR', 'flagyl 500 mg en cachet pendant 8 jours', 30)
(3, 'user', 'ASR', '3 comprimés par jour matin midi et soir pendant 10 jours', 64)
 
These ASR events corresponds to the recording files that can be found in the recordings folder.
 
Available user action annotations
 
Events.txt include annotations such as below with the following explanation:
 
- /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
 
** 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 Liège, 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 “if you cannot measure it, you cannot improve it”; 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 “Monitoring of VAP-related measures stimulates quality improvement”. 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 µm) reflectance spectra of Mirabilite with three different grain sizes (36-50, 75-100 and 125-150 µm) 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 n°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). ",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 μm 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 µm,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 µm'}, {'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;50µm, &lt;160 µm, 100-200µm, 200-400µm, &gt;400µm) 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 – 2008 (Mc=2.9) b) 2003 – 77 2017 (Mc=2.7) c) 2004 – 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 (‘ml28’ blue curve) and 5.8 (‘ml58’ 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 Loïc 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; 25°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 µm 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 - Réseau Sismologique et géodésique Français,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: Güralp 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, 0.1°)",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 0.1° (about 10x10 km²) 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>Román-Cascón 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'Échantillon et du Smallest Effect Size of Interest (SESOI)",Zenodo,2024,,InteractiveResource,Creative Commons Attribution 4.0 International,"Cet atelier à pour objectif d'expliquer pourquoi et comment conduire (a) un calcul de puissance, (b) un calcul de taille d'échantillon et (c) un calcul du Smallest Effect Size of Interest (SESOI). Une étude 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 vidéo de l'atelier

Le support .pdf qui intègre les ressources utilisées pour créer l'atelier et vous permettre d'aller plus loin dans cette réflexion",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 Eyes©,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 μl/min and 25.9 μl/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 −25% and 17% (mean±sd −2 ± 17%). Retinal blood flow in the main temporal retinal veins of healthy subjects varied between 1.3 μL/min and 28.7 μL/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 Gaüzère et al. published in Current Biology
Pierre Gaüzère
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 für 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 4°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,α and β diversity,microbial communities","[{'subject': 'sample storage'}, {'subject': 'MOTU richness'}, {'subject': 'α and β 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 “Assessing the accuracy of excited-state geometries through optimal tuning of TD-DFT with GW” 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-Santé 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 Argentière Glacier and near Col des Grands Motets in the Mont Blanc massif (RESIF-SISMOB),RESIF - Réseau Sismologique et géodésique Français,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 Argentière 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,Argentière,Courmayeur","[{'subject': 'Glacier'}, {'subject': 'icequake'}, {'subject': 'basal sliding'}, {'subject': 'earthquake swarms'}, {'subject': 'Argentière'}, {'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 18–20, 2022 at Université 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,Caractérisation d’un poste de soudure Cold Métal Transfer pour le pilotage du procédé Wire Arc Additive Manufacturing,Recherche Data Gouv,2023,,Dataset,,Les données présentées ici font partie de l'article : Pilotage d’un poste de soudure Cold Métal Transfert pour le Wire Arc Additive Manufacturing Les données permettent produire les graphiques en 3 dimensions ainsi que la diffusion des résultats produits. Le jeu de données contient les fichiers suivant : - data.csv : ensemble des données utilisé dans cet article - graph.py : fonctions pour générer 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=0°,30°,60° - e= -70° to 70°) 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 µm) of two tholins samples (99%-N2:1%-CH4:500ppm-CO and 95%-N2:5%-CH4:500ppm-CO) at various illumination-observation geometries (i=0°,30°,60° - e= -70° to 70°, step 10°) 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 - Réseau Sismologique et géodésique Français,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 31–59 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 β-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 β-diversity and in the proportion of generalists in space and time. Weaker associations and sparser networks were related to lower β-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 μm 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 µm,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 µm'}, {'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 exposés au retrait-gonflement des argiles et/ou aux risques d'inondation,Recherche Data Gouv,2023,,Dataset,,"Nombre d’habitants exposés au phénomène de retrait-gonflement des argiles (Aléa faible, moyen, fort) et/ou aux risques d’inondation (niveau de risque moyen de débordement des cours d’eau, ruissellement, submersion marine). INSEE_COM : commune (édition Juin 2023) ALEA_Faible : nombre d’habitants (2017) dans une zone de retrait-gonflement des argiles à faible aléa ; ALEA_Moyen : nombre d’habitants (2017) dans une zone de retrait-gonflement des argiles à aléa moyen ; ALEA_Fort : nombre d’habitants (2017) dans une zone de retrait-gonflement des argiles à aléa fort debordement_02Moy : nombre d’habitants (2017) exposés à un niveau moyen de débordement debordement_NA : nombre d’habitants (2017) non exposés au débordement ruissellement_02Moy : nombre d’habitants (2017) exposés à un niveau moyen de ruissellement ruissellement_NA : nombre d’habitants (2017) non exposés au ruissellement submersion_02Moy : : nombre d’habitants (2017) exposés à un niveau moyen de submersion marine submersion_NA : nombre d’habitants (2017) non exposés à 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, 100°C and 300°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,Authors’ 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,Plant–soil interactions","[{'subject': 'ancient forest'}, {'subject': 'secondary succession'}, {'subject': 'Community dynamics'}, {'subject': 'habitat quality'}, {'subject': 'mountain forest'}, {'subject': 'Plant–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. 
 
Data were collected for the Baccara project, by Elena Granda, Raquel Benavides, Sonia Rabasa, Georges Kunstler, and Marco Heurich. ",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,Université 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 0.25° 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 – ImPacts, strUcture, predicTability (OCCIPUT) global ocean/sea-ice ensemble simulation. It is composed of 50 members with a horizontal resolution of 1/4° and 75 geopotential levels (Bessières 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 40°-60°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 - Réseau Sismologique et géodésique Français,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 - Réseau Sismologique et géodésique Français,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 µm) 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.Cœurjolly, J.Y.Buffière, G.Martin, R.Dendievel.
 
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 µm). 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.
 
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,Páramo,tropical high-elevation,explosive diversification","[{'subject': 'Espeletiinae'}, {'subject': 'caulescent rosette'}, {'subject': 'Páramo'}, {'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 µm 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 µm 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 10 μM). C, D) Activation of the EGFR signaling pathway after 10 nM EGF stimulation analyzed by immunoblotting with phospho-specific and total protein antibodies as indicated, with α-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 GSK3β (at Ser9, inhibitory). $$p&lt; 0.01 and $$$p&lt; 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   44.1 kHz


|---→CSF22_test


        |---→test_labels: 108 csv files


        |---→test_videos: 108 webm files


|---→CSF22_train


        |---→train_labels: 949 csv files


        |---→train_videos: 949 webm files


|---→ phonelist.csv: list of the 36 labels used (including start and end tokens) to encode French phonemes at GIPSA-lab.


|---→ 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):1509–1518.",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 µm) 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 - Réseau Sismologique et géodésique Français,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.

 

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


 

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 components  (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.

 

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 450°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 °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 µm) and spherical fine-grained water ice particles (4.5 µm 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 µm range is mixed with variable amounts of fine-grained water ice (type SPIPA-A, 4.5 µm 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 groups’ 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 l’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 Lancé 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 Lancé 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 Lancé,complex mineral mix,chondrules Lancé,CAIs Lancé,laboratory measurement,bidirectional reflection,macroscopic,NIR,Near-Infrared,reflectance factor","[{'subject': 'extraterrestrial'}, {'subject': 'carbonaceous chondrite'}, {'subject': 'CO'}, {'subject': 'complex organic-mineral mix'}, {'subject': 'matrix Lancé'}, {'subject': 'complex mineral mix'}, {'subject': 'chondrules Lancé'}, {'subject': 'CAIs Lancé'}, {'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. 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). 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).  The computational details are given in the manuscript.  ,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 réalisées avec le modèle hydrologique semi-distribué J2000 et les forçages atmosphériques SPAZM. Pour le maillage du modèle hydrologique se référer au dépot : 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 dose–response functions with that relying on toxicological data; 3) clarification of terminology of 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 Green’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> — 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'Échantillon et du Smallest Effect Size of Interest (SESOI)",Zenodo,2024,,InteractiveResource,Creative Commons Attribution 4.0 International,"Cet atelier à pour objectif d'expliquer pourquoi et comment conduire (a) un calcul de puissance, (b) un calcul de taille d'échantillon et (c) un calcul du Smallest Effect Size of Interest (SESOI). Une étude 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 vidéo de l'atelier

Le support .pdf qui intègre les ressources utilisées pour créer l'atelier et vous permettre d'aller plus loin dans cette réflexion",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 = 0°, e = 30°) 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 = 0°, e = 30°) 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 (Enquête des Vehicles Electrique) run by the Observatoire du Transition Energétique 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 Méditerranée 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-Guérin Arch Dam Experiment, 2015-2016, code YI, funded by chaire Pereniti (Grenoble INP, EDF), Université Grenoble Alpes, instrumented by RESIF-SISMOB",RESIF - Réseau Sismologique et géodésique Français,2017,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","The Saint-Guérin arch dam experiment consists of a dense network of 19 broadband velocimeters deployed for one year on and around the Saint-Guérin 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 n°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=0°, e=30°) 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 = 0°, e=30°) 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 √n. The absolute error on temperature is ±50 °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 °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 ± 3.23 (± 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; ρs = spontaneous track density; ρi = induced track density; Ns, Ni = number of tracks counted to determine the reported track densities; P(χ2) = 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 ± 12.05 (± 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; ρs = spontaneous track density; ρi = induced track density; Ns, Ni = number of tracks counted to determine the reported track densities; P(χ2) = 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. T–t paths are statistically evaluated and categorized by their value of goodness of ft (GOF). ‘Acceptable’ results, in green, correspond to a 0.05 GOF value and ‘good’ 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 – 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 38°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 40°C during one night). During the experiment, the sample is then dried, under the sun at 38°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 μm 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 µm,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 µm'}, {'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 communities’ 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 µm 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 µm (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 adolescents’ needs and parents’ 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. ,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 – 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, Jérémie 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 Jérémie Mouginot and collaborators, following the steps described in Romain Millan’s paper ”Mapping Surface Flow Velocity of Glaciers at Regional Scale Using a Multiple Sensors Approach” (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> • Complete dataset of all velocity fields derived from every image pair;<br> • Yearly median results run through all data for every single pixel;<br> • Yearly GeoTIFF spatial aggregate of all previously computed medians;<br> • The shapefile ”cube grid.shp” 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,Students’ and tutors’ experiences of remote ‘student–patient’ 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, student–patient interaction, and student–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 students’ psychological safety. Frequent debriefs could ameliorate this risk and positively impact student–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=0°, e=30°, az=0°) 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=0°, e=30°, az=0°) 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 n°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 species’ 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 l’Univers (INSU/CNRS),  and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université 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 is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – 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 atezolizumab–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: 0.61–1.86), <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: 0.20–0.79), <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: 0.22–0.84), <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 atezolizumab–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, (0°29' S, 78°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 μm 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 µm,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 µm'}, {'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 “Sneaked 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. 

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 45° and deformed under triaxial compression. Repeated x-ray tomography scans are taken each 1% of axial shortening. The data of the tutorial correspond to the grey-scale volumes of the first six scans, (from 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 l’Eau - Rhône Méditerranée 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 Université 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: 66.7°S ; Longitude 139.9°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 - Réseau Sismologique et géodésique Français,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=0°, e=30°) of bulk CV chondrites under vacuum at T = 80°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 = 0°, e=30°) of bulk CV chondrites (CVRed, CVOxA, CVOxB) under vacuum at T = 80°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 Pée sur Nivelle and CARRTEL in Thonon les Bains) and AFB-INRA Pole Gest’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 l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université 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 l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université 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 38°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 40°C during one night). During the experiment, the sample is then dried, under the sun at 38°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 µm) and for 2 different grain size ranges (125-250, 250-500 µm)",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,Authors’ 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, 150°C and 300°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, 150°C and 300°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=0°/e=30°) of volcanic tuff with different amounts of adsorbed H2O at -30°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=0°/e=30°) of volcanic tuff with different amounts of adsorbed H2O at -30°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, Claduègne",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 l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)”.",This dataset is part of the Cevennes‐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 l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)”.,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 μm 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 µm,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 µm'}, {'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 µm average diameter) intimately mixed with NaCl particles (sieved to less than 100 µm)",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 µm) 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. ",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 l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)”.,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 µm), 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: 4.5±2.5 µm, 67±31 μm, and between 2 and 100 µm. Reflectance spectra (from 0.4 to 4 µm) 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 - Réseau Sismologique et géodésique Français,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 (λ = 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 µm) 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 µm 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 l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)”.",This dataset is part of the Cevennes‐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,"Rivière des Pluies Project, La Réunion Island, 2015-2018",RESIF - Réseau Sismologique et géodésique Français,2015,en,Dataset,"Open Access,Creative Commons Attribution 4.0 International","In the frame of the Rivière des Pluies project, a temporary seismic network of approximately 10 three-component broadband seismometers was deployed around two rivers of La Réunion Island: Rivière des Pluies and Rivière du Mât. The goal of the project is to monitor spatial and temporal variations of the river’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 Réunion Island,[{'subject': 'Monitoring the transport of sediment during tropical cyclones from high-frequency seismic noise in two rivers of La Réunion 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 l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)”.",This dataset is part of the Cevennes‐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), “Identifying research supporting the United Nations Sustainable Development Goals”, 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 students’ 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.’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. “Live” 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 “Assessing the accuracy of excited-state geometries through optimal tuning of TD-DFT with GW” 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 77.45°N 51.06°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 “bags”) 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 μm 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 µm,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 µm'}, {'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 Argentière 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 GoldenGate® 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 µm² 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

 

[1] Wakonig, K., Stadler, H.-C., Odstrčil, 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 Odstrčil, Mirko Holler, Jörg 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 l’Univers (INSU/CNRS),  and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université 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 is part of the Cryobs-Clim-CLB (CRYosphere, an OBServatory of the CLIMate – 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/m²),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/m²)', '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 für 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, 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,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 l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)”.",This dataset is part of the Cevennes‐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 14.5°N and 17.5°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 north–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; 25°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 (22°C) and after heating at 300°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 300°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 300°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 – 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 à l’échelle départementale des aléas rocheux et des forêts à fonction de protection,Recherche Data Gouv,2022,,Dataset,,Le LESSEM a développé un modèle (Sylvarock) de cartographie indicative à l’échelle d’un versant des aléas rocheux et des forêts susceptibles d’avoir une fonction de protection. Ce modèle a tout d'abord été appliqué sur l'ensemble de l'Arc Alpin (Projet Interreg Espace Alpin ROCKTheAlps) à partir de données disponibles à l'échelle européenne avant un déploiement sur l'ensemble de la France métropolitaine en utilisant des données nationales plus précises (action CADOC de la convention INRAE/DGPR du Ministère de la transition écologique et solidaire). Ce dataset rassemble les résultats de la cartographie à l'échelle de la France métropolitaine avec un prédécoupage par Département. 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 Sévraisse River in Alpes (RESIF-SISMOB),RESIF - Réseau Sismologique et géodésique Français,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 Sévraisse 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 - Réseau Sismologique et géodésique Français,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 (Réseau Large Bande Permanent) network, 2) about fourty short period stations of the historical RéNaSS (Réseau 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 Instabilités 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 (Réseau Sismologique et géodésique Français) 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, RéNaSS, 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 - Réseau Sismologique et géodésique Français,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 case–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 residents’ 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 (≥ 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 Chi² 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,Étude lexicale et aréale des désignations du pissenlit en domaine gallo-roman de France,Universität Graz,2021,,Text,,"Résumé : Depuis 2015 nous participons au projet Extraction automatisée des contenus géolinguistiques
d'atlas et analyse spatiale : application à 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 définir des modèles
combinant les dimensions linguistiques, spatiales et temporelles pour représenter les données
géo-linguistiques et enfin de proposer des outils permettant le traitement et la géo-visualisation de
ces données. Dans le cadre de ce projet, nous avons effectué le traitement lexical et aréal des désignations
du pissenlit à partir de la carte ALF n°1022. Nous proposons ici de présenter les résultats
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 l’Univers (INSU/CNRS) and the Observatoire des Sciences de l’Univers de Grenoble (OSUG / Université Grenoble Alpes)”.",This dataset is part of the Cevennes‐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 μm 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 µm,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 µm'}, {'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 Alfvén 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 Alfvén 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 - Réseau Sismologique et géodésique Français,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 forest–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 forest–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 −3°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=40°, e=10°, az=140°], 7.5 mm [i=40°, e=20°, az=45°] and 11.4 mm [i=60°, e=0°, az=180°]) on snow at −3°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 world’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 km² headwater catchment located in the French Alps that is part of the Draix-Bléone 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: Loïc 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: Loïc 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 ‘four-fifths law’ 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 Richardson–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,β-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 method’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 -0.71±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 -0.64±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 (0.35±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 réacteur de type MSFR en sels chlorures et en cycle uranium,Zenodo,2024,fr,Text,Creative Commons Attribution 4.0 International,"Depuis le début des années 2000 et suite à la loi Bataille en France, l’équipe MSFR du LPSC de Grenoble a repris le concept des réacteurs à sels fondus, donnant progressivement forme au Molten Salt Fast Reactor (MSFR) de référence. Ce surrégénérateur de 3GWth utilise des sels à base fluor et le cycle thorium. Dans l’optique de proposer un modèle plus à même d’utiliser les matières disponibles (uranium appauvri et noyaux lourds des combustibles usés), cette thèse porte sur l’étude d’un MSFR en cycle uranium.Pour s’affranchir d’éventuels problèmes de solubilité des transuraniens (TRU) en sels fluorures, le sel combustible retenu est un mélange eutectique NaCl-appUCl3-(TRU)Cl3. Ce sel étant un moins bon caloporteur et plus transparent aux neutrons que son équivalent du MSFR fluorure de référence, les travaux de thèse ont d’abord porté sur des études du volume optimal de sel combustible, qui a été porté de 18m3 (MSFR de référence) à 45m3 (MSFR-Cl). Un volume de 20m3 se trouve dans le coeur (optimisation neutronique) et 25m3 sont dans les boucles de recirculation contenant les échangeurs de chaleur (optimisation thermique). Pour améliorer le facteur de régénération du réacteur, une couverture fertile radiale est placée autour de la zone centrale. La composition du sel fertile résulte d’une optimisation principalement entre le débit de retraitement et la résistance à la prolifération. Les études de conception effectuées durant la thèse incluent le dimensionnement des protections neutroniques en tenant compte de la circulation des précurseurs de neutrons retardés, et du vase d’expansion dédié à accommoder la dilatation du sel combustible.Pour tirer un maximum de bénéfices de la forme liquide des sels, le réacteur peut être connecté à une unité de traitement. L’extraction régulière des produits de fission permet ainsi de réduire le terme source et les processus de corrosion tout en améliorant l’économie neutronique, et ce sans besoin d’arrêt du réacteur. Un schéma de principe du traitement envisagé a été conçu durant la thèse en collaboration avec des experts en chimie.Des calculs neutroniques statiques puis en évolution ont été réalisés avec divers codes neutroniques (MCNP couplé au code d’évolution REM, Serpent2) pour évaluer les performances du système (contre-réactions, bilans massiques). Des études préliminaires de déploiement de ce type de réacteurs ont été menées pour évaluer l’impact de l’insertion du MSFR-Cl dans un parc de REP, en comparaison du MSFR de référence.Pour finir, et suite aux limites rencontrées avec le MSFR-Cl, un modèle innovant d'incinérateur de petite taille en cycle uranium à couverture fertile thoriée a été étudié, 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 Coatanéa, Joonas Coatanéa, 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. Itinéraire de Marie-France, le 5 avril 2019 à Livet",NAKALA - https://nakala.fr (Huma-Num - CNRS),2022,fr,Other,,"Itinéraire réalisé dans le cadre du projet de recherche-création Les Ondes de l’Eau : Mémoires des lieux et du travail dans la vallée de la Romanche. AAU-CRESSON (Laure Brayer, direction scientifique) - Regards des Lieux (Laure Nicoladzé, direction culturelle). 

Marie-France est née à Livet. Après avoir passé la moitié de sa vie ailleurs, elle y est aujourd’hui revenue.
Elle a cofondé il y a deux ans l’association Marcheurs et Coureurs des Gorges de la Romanche qui rénove les chemins pédestres de la vallée. Ce jour d’avril ensoleillé il venait de neiger et nous nous sommes promenés dans les rues de la Renardière en direction du Fontario, où des sources anciennement captées jaillissent en pleine forêt 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,"méthode des itinéraires,environnement sonore,forêt,perception de l'espace,désindustrialisation,patrimoine industriel,pollution de l'air,Keller, Charles Albert (1874-1940 , Ingénieur A&amp;M),Romanche, Vallée de la (France),énergie hydraulique,climat de montagne,montagnes -- aménagement,Perception sensible,Histoires de vie,paysage de l'eau,histoire orale,Marche,Sens et sensations,Mémoires des lieux,roman-photo,itinéraire,matériaux de terrain éditorialisés","[{'lang': 'fr', 'subject': 'méthode des itinéraires'}, {'lang': 'fr', 'subject': 'environnement sonore'}, {'lang': 'fr', 'subject': 'forêt'}, {'lang': 'fr', 'subject': ""perception de l'espace""}, {'lang': 'fr', 'subject': 'désindustrialisation'}, {'lang': 'fr', 'subject': 'patrimoine industriel'}, {'lang': 'fr', 'subject': ""pollution de l'air""}, {'lang': 'fr', 'subject': 'Keller, Charles Albert (1874-1940 , Ingénieur A&amp;M)'}, {'lang': 'fr', 'subject': 'Romanche, Vallée de la (France)'}, {'lang': 'fr', 'subject': 'énergie hydraulique'}, {'lang': 'fr', 'subject': 'climat de montagne'}, {'lang': 'fr', 'subject': 'montagnes -- aménagement'}, {'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': 'Mémoires des lieux'}, {'lang': 'fr', 'subject': 'roman-photo'}, {'lang': 'fr', 'subject': 'itinéraire'}, {'lang': 'fr', 'subject': 'matériaux de terrain éditorialisés'}]","['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 ≤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 800°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. 

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 45° and deformed under triaxial compression. Repeated x-ray tomography scans are taken each 1% of axial shortening. The data of the tutorial correspond to the grey-scale volumes of the first six scans, (from 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 °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,Étude des applications Bag-of-Tasks du méso-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 (see 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, 150°C and 300°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, 150°C and 300°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 paper 
Radiofrequency to Microwave Coherent Manipulation of an Organometallic Electronic Spin Qubit Coupled to a Nuclear Qudit
Inorg. Chem. 2021, 60, 11273−11286",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. It 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 new benchmark dataset (SegMunich) for the downstream task of 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: