diff --git a/1-enrich-with-datacite/all_datacite_clients_for_uga.csv b/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
index 73ff231b6b02427069f6108ecc2236f9f01f5c36..6c6f0dbc509d9cb245018694978c0ed486140440 100644
--- a/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
+++ b/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
@@ -1,10 +1,10 @@
 client,count,name,year,url
-cern.zenodo,984,Zenodo,2013,https://zenodo.org/
-inist.sshade,843,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
-figshare.ars,297,figshare Academic Research System,2016,http://figshare.com/
+cern.zenodo,981,Zenodo,2013,https://zenodo.org/
+inist.sshade,468,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
 inist.osug,238,Observatoire des Sciences de l'Univers de Grenoble,2014,http://doi.osug.fr
+figshare.ars,213,figshare Academic Research System,2016,http://figshare.com/
 dryad.dryad,157,DRYAD,2018,https://datadryad.org
-inist.resif,136,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
+inist.resif,78,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
 inist.persyval,55,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
 rdg.prod,47,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
 inist.humanum,34,Huma-Num,2020,https://nakala.fr
diff --git a/2-produce-graph/hist-evol-datasets-per-repo.png b/2-produce-graph/hist-evol-datasets-per-repo.png
index 252db86e083d99d6b39a0f7f25e3d3ba5406cf03..cdad3633d79e1e388d60f2424bf4a2e4fd5cf63e 100644
Binary files a/2-produce-graph/hist-evol-datasets-per-repo.png and b/2-produce-graph/hist-evol-datasets-per-repo.png differ
diff --git a/2-produce-graph/hist-quantity-year-type.png b/2-produce-graph/hist-quantity-year-type.png
index 11ab4ddbf136f46420233452edceb64fd85a83ac..187f948a01a96db4097426568811135fc186ee4f 100644
Binary files a/2-produce-graph/hist-quantity-year-type.png and b/2-produce-graph/hist-quantity-year-type.png differ
diff --git a/2-produce-graph/pie--datacite-client.png b/2-produce-graph/pie--datacite-client.png
index aa54c6f2bd2a0548fbb532d93375aa8569183874..4d66a1a608d8da6dde242b2811aadd42553061fc 100644
Binary files a/2-produce-graph/pie--datacite-client.png and b/2-produce-graph/pie--datacite-client.png differ
diff --git a/2-produce-graph/pie--datacite-type.png b/2-produce-graph/pie--datacite-type.png
index d0a29266ce3c55a63eb18c7ea12aab89fd809862..fd10a156cb2295e9d103169cacf5141e6edf1b83 100644
Binary files a/2-produce-graph/pie--datacite-type.png and b/2-produce-graph/pie--datacite-type.png differ
diff --git a/dois-uga.csv b/dois-uga.csv
index 7e32af85c9da3f8ed81f7bd1b7fc9626edfbafcc..d7f2bddab6b36b34d008b32a8b2b48a8b161df5a 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -5162,3 +5162,1293 @@ Le support .pdf qui intègre les ressources utilisées pour créer l'atelier et
 10.6084/m9.figshare.20222461,Additional file 1 of Ten actions to achieve gender equity among intensivists: the French Society of Intensive Care (FICS) model,figshare,2022.0,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. This a presentation leaflet of the working group FEMMIR (Femmes médecins en médecine intensive réanimation) including missions, actions and demands of the group.",mds,True,findable,0.0,0.0,39.0,1.0,0.0,2022-07-04T09:24:13.000Z,2022-07-04T09:24:14.000Z,figshare.ars,otjm,"Biotechnology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['958281 Bytes'],
 10.5281/zenodo.10636066,Assessing the accuracy of excited-state geometries through optimal tuning of TD-DFT with GW,Zenodo,2024.0,,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,0.0,0.0,0.0,0.0,0.0,2024-02-16T12:23:14.000Z,2024-02-16T12:23:14.000Z,cern.zenodo,cern,,,,
 10.6084/m9.figshare.12886132,Additional file 3 of Epidural analgesia in ICU chest trauma patients with fractured ribs: retrospective study of pain control and intubation requirements,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 3: Table S1. Sensitivity analysis restricted to the 526 patients in ICUs where at least 1 study patient received epidural analgesia.,mds,True,findable,0.0,0.0,1.0,1.0,0.0,2020-08-28T04:02:52.000Z,2020-08-28T04:02:55.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Neuroscience,Immunology,FOS: Clinical medicine,Science Policy,Mental Health,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}]",['14213 Bytes'],
+10.5281/zenodo.10157946,X-ray diffraction images for HEN Egg White Lysozyme co-crystallized with 10mM TbXo4-OH - PDB ID: 8P2Q,Zenodo,2023.0,,Dataset,Creative Commons Attribution 4.0 International,"Xray diffraction images for HEWL co-crystallized with 10mM TbXo4-OH. Dataset collected at SOLEIL - Proxima 1 (PX1) beamline. For experimental details, see XDS.INP file (input file for XDS program).",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-18T23:50:03.000Z,2024-01-18T23:50:03.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10157942,X-ray diffraction images for Hen Egg White Lysozyme co-crystallized with 10mM TbXo4-NMet2 - PDB ID: 8PIW,Zenodo,2023.0,,Dataset,Creative Commons Attribution 4.0 International,"Xray diffraction images for HEWL structure co-crystallized with 10mM TbXo4-NMet2. Dataset collected at SOLEIL - Proxima 1 (PX1) beamline. For experimental details, see XDS.INP file (input file for XDS program).",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-18T23:44:17.000Z,2024-01-18T23:44:17.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10653154,tlibs,Zenodo,2024.0,,Software,GNU General Public License v3.0 only,"Tlibs version 2, a physical-mathematical C++ template library.",api,True,findable,0.0,0.0,0.0,1.0,0.0,2024-02-13T08:36:41.000Z,2024-02-13T08:36:41.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10157907,X-ray diffraction images for Hen Egg White Lysozyme (HEWL) co-crystallized with 10mM TbXo4-SO3 - PDB ID: 8POB,Zenodo,2023.0,,Dataset,Creative Commons Attribution 4.0 International,"Xray diffraction images for HEWL structure co-crystallized with 10mM TbXo4-SO3. Dataset Collected at SOLEIL-Proxima 1 (PX1) beamline.For experimental details, see XDS.INP file (input file for XDS program).",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-18T23:29:21.000Z,2024-01-18T23:29:22.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10471553,"Datasets used in ""Global LHC constraints on electroweak-inos with SModelS v2.3""",Zenodo,2024.0,en,Dataset,Creative Commons Attribution 4.0 International,"Input SLHA and SModelS output (.smodels and .py) files from the paper ""Global LHC constraints on electroweak-inos with SModelS v2.3"". The datasets comprises 18247 electroweak-ino scan points and can be used to reproduce results in sections 4 and 5, and in appendix B.
+
+
+
+ewino_slhaFiles.tar.gz : input SLHA files including mass spectra, decay tables and cross sections.
+
+ewino_smodels_mmg10.tar.gz : SModelS outputs with a minmassgap of 10 GeV (value used for the results presented in the main text, used for Figures 12-21). All the 18247 scan points present in the directory were obtained using this minmassgap.
+
+ewino_smodels_mmg05.tar.gz : SModelS outputs with a minmassgap of 5 GeV (value used in appendix B, used for Figures 23 and 24). All the 18247 scan points present in the directory were obtained using this minmassgap.
+
+ewino_smodels_mmg15.tar.gz : SModelS outputs with a minmassgap of 15 GeV (value used in appendix B, used for Figures 23 and 24). Only the points with a mass difference between the next-to-lightest neutralino and the lightest neutralino, or the next-to-lightest neutralino and the lightest chargino, or the lightest chargino and the lightest neutralino comprised between 10 and 15 GeV were computed using this minmassgap. This corresponds to 1732 scan points, which are listed in the summary.txt present in the compressed directory. The results for the remaining points were obtained using a minmassgap of 10 GeV.
+
+ewino_smodels_mmg20.tar.gz : SModelS outputs with a minmassgap of 20 GeV (value used in appendix B, used for Figures 23 and 24). Only the points with a mass difference between the next-to-lightest neutralino and the lightest neutralino, or the next-to-lightest neutralino and the lightest chargino, or the lightest chargino and the lightest neutralino comprised between 15 and 20 GeV were computed using this minmassgap. This corresponds to 870 scan points, which are listed in the summary.txt present in the compressed directory. The results for the remaining points were obtained using a minmassgap of 15 or 10 GeV (depending on the mass difference condition mentioned in the previous paragraph).
+
+combinability_matrix.py: python dictionnary modelling the combinability matrix (Figure 11).",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-09T20:45:54.000Z,2024-01-09T20:45:54.000Z,cern.zenodo,cern,"LHC,electroweak-ino,EW-ino,scan,likelihood,global constraint,SModelS,smodels,reinterpretation,simplified models,supersymmetry","[{'subject': 'LHC'}, {'subject': 'electroweak-ino'}, {'subject': 'EW-ino'}, {'subject': 'scan'}, {'subject': 'likelihood'}, {'subject': 'global constraint'}, {'subject': 'SModelS'}, {'subject': 'smodels'}, {'subject': 'reinterpretation'}, {'subject': 'simplified models'}, {'subject': 'supersymmetry'}]",,
+10.5281/zenodo.10485577,"Fig. 2 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016.0,,Image,License Not Specified,"Fig. 2. ceQORH activity in the presence C9 and C10 Oi,β-unsaturated carbonyls. (A) ceQORH activity was measured as a function of trans-2-nonenal concentration. k = 0.04 ± 0.005 s –1, K = 66 ± 25 µM. (B) ceQORH activity was measured as a function of trans-3-decen-2-one concentration. The apparent affinity was too low to cat M determine KM and kcat parameters accurately. (C) ceQORH activity was measured as a function of 4-hydroxynonenal concentration. The apparent affinity for this molecule was very low and neither k nor K could be determined. (D) ceQORH activity was measured as a function of 4-oxo-nonenal concentration. k = 14 ± 1 s –1, K = 190 ± 50 µM.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-11T04:59:34.000Z,2024-01-11T04:59:34.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
+10.5281/zenodo.10485585,"Fig. 7 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016.0,,Image,License Not Specified,"Fig. 7. Enzymatically derived RES oxylipins produced in the chloroplast that are reduced (green box) and not reduced by ceQORH (red boxes). The yellow box indicates the ceQORH reduction products. ceQORH reduces traumatin in vitro but with very low efficiency compared to AtAER (see text). As traumatin is produced on the cytosolic side of the chloroplast and AtAER is cytosolic we considered ceQORH activity on traumatin as non physiological. 13(S)-HPOD: (9Z,11E,13S)-13-hydroperoxy-octadecadienoic acid; 13 (S)-HPOT: (9Z,11E,13S,15Z)-13-hydroperoxy-octadecatrienoic acid; 12, 13-EOD: 12,13-epoxyoctadecadienoic acid; 12,13-EOT: 12,13-epoxyoctadecatrienoic acid.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-11T04:59:51.000Z,2024-01-11T04:59:51.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
+10.5281/zenodo.10485581,"Fig. 5 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016.0,,Image,License Not Specified,"Fig. 5. LC/MS analyses of the reaction catalyzed by ceQORH in the presence of trans- 1,3-diphenyl-2-propenone and NADPH. (A) HPLC chromatogram recorded at 250 and 312 nm of a 90 min reaction. (B) LC/MS chromatogram. (C) MS spectrum of the elution pick at 3.99 min. The peak with m/z = 233.09 corresponds to the sodium ion of trans-1,3-diphenyl-2-propanone (D) MS spectrum of trans-1,3-diphenyl-2- propenone (m/z = 230.97 corresponds to the sodium ion of trans-1,3-diphenyl-2- propenone).",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-11T04:59:41.000Z,2024-01-11T04:59:42.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
+10.5281/zenodo.10634157,Managing LimeSurvey Data Using R,Zenodo,2024.0,,Dataset,Creative Commons Attribution 4.0 International,"A template for managing LimeSurvey data using R.
+
+You will find:
+
+
+
+The dataset ""20240208_emap_LimeSurvey_R_data_file.csv""
+
+The .Rmd file containing the script ""RMarkdown_LimeSurvey_Template.Rmd""
+
+The .html file of the .Rmd file ""RMarkdown_LimeSurvey_Template.html""
+
+
+The dataset comes from the ""Promoting Physical Activity in People With Chronic Diseases: The Role of Affective Mechanisms"" project. ",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-12T08:57:53.000Z,2024-02-12T08:57:53.000Z,cern.zenodo,cern,"R,Markdown,Data Management,Open Science,LimeSurvey","[{'subject': 'R'}, {'subject': 'Markdown'}, {'subject': 'Data Management'}, {'subject': 'Open Science'}, {'subject': 'LimeSurvey'}]",,
+10.5281/zenodo.10485575,"Fig. 1 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016.0,,Image,License Not Specified,"Fig. 1. Detoxification of reactive Oi,β-unsaturated carbonyl compounds.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-11T04:59:31.000Z,2024-01-11T04:59:31.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
+10.5281/zenodo.10650737,Combining Loop Shuffling and Code Polymorphism for Enhanced AES Side-Channel Security,Zenodo,2024.0,en,Dataset,Creative Commons Attribution No Derivatives 4.0 International,"This repository contains the datasets used for deep learning for our paper ""Combining Loop Shuffling and Code Polymorphism for Enhanced AES Side-Channel Security"", published at COSADE 2024.
+
+It contains:- A dataset of traces measured on a STM32F7. Detailed experimental setup is available in the paper. The traces measured are long enough to contain the full first round of the AES.- A dataset of simulated traces. Simulated traces output 2 samples for each instruction executed: one sample consisting of the sum of the Hamming weights of the input registers, and one sample consisting of (the sum of) the Hamming weight(s) of the output register(s). The traces contain all rounds of the AES.
+
+Note that the plaintexts file is different in both dataset.
+
+**IMPORTANT NOTE:**This dataset stems from a serie of experiments carried on a particular implementation of AES, with particular configurations of the countermeasures. We stress that other security levels (lower or higher) can be reached with the considered countermeasures depending on the platform, the implementation, the configuration of the countermeasures etc. In particular, the code polymorphism countermeasure is highly configurable, and this dataset is limited to the configuration described in the paper.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-12T14:54:51.000Z,2024-02-12T14:54:51.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10674398,easystats/performance: performance 0.10.9,Zenodo,2024.0,,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,0.0,0.0,0.0,1.0,0.0,2024-02-17T18:09:47.000Z,2024-02-17T18:09:47.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10679304,Dataset acquired during the drainage of Bossons lake in summer 2023,Zenodo,2024.0,,Dataset,Creative Commons Attribution 4.0 International,"All given time are UTC. 
+
+This dataset contains:
+
+
+
+Surverse_long_Zlac_15MN.csv : lac level from piezometer since 1st june 2023 every 15 mn, 
+
+Bosson_2023_Halfh.dat : data from piezometers P2 et P3 and thermistances T1 to T6,
+
+data_Tw_chenal_entrance.csv : water temperature at the entrance of chanel, 
+
+GPS_LacLevel.csv : GNSS measurements of lac elevation,
+
+elevation_chenal_entrance.csv : GNSS mesurements of the altitude of the chanel entrance,
+
+chenal_Bossons_date.csv : GNNS measurements of the chanel ice bottom at different dates (31 July 13h30 et 16h50, 1st August 12h30 and 14h30, 2 August 9h00 et 11h50 et 8 August 2023 12h00)
+
+section_chenal_date.csv : measurements of the ice chanel transverse section the 1st August at 8h30 and 13h,
+
+discharge_icechenal.csv : measurements of water discharge in the ice chanel the 31st July, 1st and 2nd August 2023,
+
+discharge_crosette_2023.csv : measurements of water discharge in the Crosette stream the 1st June and 5 July 2023,
+
+Hypsometry_2023-06-26.dat : hypsometry from the bathymetry of 26 June 2023,
+
+PureEmpirical_SeismicReconstructedDischarge.csv : water discharge entering the lake from the pure empirical method using sismic data,
+
+SemiEmpirical_SeismicReconstructedDischarge.csv : water discharge entering the lake from the semi-empirical method using sismic data,
+
+model_output_surverse_10MN.csv : output from the model for the reference simulation. ",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-19T13:30:04.000Z,2024-02-19T13:30:04.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10485579,"Fig. 3 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016.0,,Image,License Not Specified,"Fig. 3. HPLC analyses of the reaction catalyzed by ceQORH in the presence of trans- 1,3-diphenyl-2-propenone and NADPH at 312 nm (maximum of absorption of bisphenylpropenone). (A) ceQORH activity was measured as a function of the trans- 1,3-diphenyl-2-propenone concentration in the presence of NADPH (k = 3.6 ± 1.5 s –1, K = 14 ± 2 µM). (B) HPLC profile of 1 nmol of trans-1,3- cat M diphenyl-2-propenone. The alkene function is responsible of the absorption at 312 nm. (C) Chromatograms of the complete reaction mixture at different reaction times. The decrease in absorbance at 312 nm demonstrates that CeQORH reduces the alkene function. (D) Same as in C with the absorption measured at 250 nm showing the time dependent appearence of a novel product eluted earlier. The absorption of the peak eluted at 3.5 min does not change at 312 nm or 250 nm and most certainly corresponds to the cis-isomer of 1,3-bisphenyl-2-propenone.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-11T04:59:38.000Z,2024-01-11T04:59:38.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
+10.5281/zenodo.10523321,Supplementary data to Frasson et al. 2023,Zenodo,2024.0,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,0.0,0.0,0.0,0.0,0.0,2024-01-18T13:41:42.000Z,2024-01-18T13:41:42.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10619442,"Data and Code for ""Energetically consistent Eddy-Diffusivity Mass-Flux schemes for Atmospheric and Oceanic Convection""",Zenodo,2024.0,,Software,Creative Commons Attribution 4.0 International,"This repository contains the codes and data used to produce the figures of ""Energetically consistent Eddy-Diffusivity Mass-Flux schemes for Atmospheric and Oceanic Convection"", a paper by M. Perrot and  F. Lemarié submitted to Journal of Advanced Modelling in Earth Sciences. See readme.md for pratical usage.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-05T14:45:11.000Z,2024-02-05T14:45:12.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10517970,CaliParticles: A Benchmark Standard for Experiments in Granular Materials,Zenodo,2024.0,en,Dataset,Creative Commons Attribution 4.0 International,"Granular materials are discrete particulate media that can flow like a liquid but also be rigid like a solid. This complex mechanical behavior originates in part from the particles shape. How particle shape affects mechanical behavior remains poorly understood. Understanding this micro-macro link would enable the rational design of potentially cheap, light weight or robust materials. To aid this development, we have produced a set of standard particle shapes that can be used as benchmarks for granular materials research. Here we describe the collection of benchmark shapes. Some part of the particles are modeled on superquadrics, others are custom designed. The particles used so far were made from polyoxymethylene (POM) and Thermoplastic elastomers (TPE) whose specifications are also listed. The benchmark shapes are available as molds in a plastics manufacturing company, whose contact information is also included. The company is capable of making other molds as well, giving access to more particle shapes. The same particle shapes can thus also be made in different types of (colored) plastic, and in amounts of 50.000 particles or more, larger than conveniently be produced with a 3D printer. We also provide the associated .step and .stl files in the repository in which this document is included. ",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-16T10:37:36.000Z,2024-01-16T10:37:36.000Z,cern.zenodo,cern,"Particles,Macaroni,Ellipsoid,Tetrapod,Hexapod,Sphereotetrahedron,Caliper","[{'subject': 'Particles'}, {'subject': 'Macaroni'}, {'subject': 'Ellipsoid'}, {'subject': 'Tetrapod'}, {'subject': 'Hexapod'}, {'subject': 'Sphereotetrahedron'}, {'subject': 'Caliper'}]",,
+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,2023.0,,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,0.0,0.0,0.0,0.0,0.0,2023-12-13T09:18:53.000Z,2023-12-13T09:18:54.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10551249,"Data supporting 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model'",Zenodo,2024.0,en,Dataset,Creative Commons Attribution 4.0 International,"The dataset supporting our publication 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model' in Geophysical Research Letters.
+
+The main .zip archive contains a set of NetCDF files detailing:
+
+
+
+Initial optimised glacier states (geology-optimized...)
+
+Simulation results (Prog20...)
+
+
+Initial states and results are given by cluster (see Figure 1 in the paper), as shown in all filenames (C1 through to C12). Prognostic simulation filenames additionally distinguish between runs between 1999 and 2019 (Prog2020) and between 2020 and 2050 (Prog2050). 'NV'/'NoVel' and 'NT'/'NoThk' refer to simulations using the partial optimisation (optimisation without including velocity/thickness observations) as detailed in the paper. 'AV' at the end of the filename denotes the integrated area/volume results file, as opposed to the 2D raster results file. A 'V' before the cluster designation shows that the simulation used the variable SMB as opposed to the fixed SMB (see the paper for details). 'ID' before the cluster designation shows that the simulation was using extrapolated SMB based on the trend in SMB since 2000, instead of assuming the continuation of the current SMB. 'ID' on its own denotes linear extrapolation and 'IDQ' denotes quadratic extrapolation (not used in the published paper). 'SMBF' in the filename shows that the simulation used the SMB-elevation feedback.
+
+The additional .zip archive contains the code of IGM v1.0 used to produce the model results. For details on installing and using IGM, please see the Github page at https://github.com/jouvetg/igm.
+
+A further .zip archive (in version 3 - Sims2010-2022.zip) contains the simulations based on linear extrapolation of the observed trend in SMB between 2010 and 2022, following the same nomenclature as in the principal archive (see above).",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-22T14:00:42.000Z,2024-01-22T14:00:42.000Z,cern.zenodo,cern,"Glacier,Alps,Numerical modelling,Deep learning,Climate change","[{'subject': 'Glacier'}, {'subject': 'Alps'}, {'subject': 'Numerical modelling'}, {'subject': 'Deep learning'}, {'subject': 'Climate change'}]",,
+10.5281/zenodo.10519316,Revealing trends in extreme heatwave intensity: Applying the UNSEEN approach to Nordic countries - Supplementary Material,Zenodo,2024.0,,Other,Creative Commons Attribution 4.0 International,"16/01/2024sberghaldsebastian.berghald@etu.univ-grenoble-alpes.fr
+
+In this folder we gathered some additional material to our paper on UNSEEN applied to heatwaves in Northern Europe. You will find:
+
+- Codes:    - Jupyter code used to compute region-averaged timeseries of both UNSEEN ensemble and reanalysis data. For downloading data from Copernicus CDS please refer to Timo Kelder's codes: https://unseen-open.readthedocs.io/en/latest/index.html    - R markdown file including all the statistical analysis of the timeseries obtained from the jupyter code.- Data:    - Gridded netCDF files of 3day running mean Tmax for both SEAS5 ensemble and MET Nordic LTC (based on NORA3 reanalysis). Archived SEAS5 seasonal forecast data are available at ECMWF MARS archive: https://apps.ecmwf.int/mars-catalogue/ . Description and availability of the MET Nordic long-term consistent product can be found at MET Norway's Github pages: https://github.com/metno/NWPdocs/wiki/MET-Nordic-dataset .    - Gridded MJJ 2m temperature, mean for each year (also SEAS5).    - Modified NUTS regions. Shapefiles of the NUTS dataset are available from Eurostat's webpages: https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units- Figures:       The figures included in the paper as well as supplementary figures in high resolution.- Results:    - Notebooks for all regions containing the detailed analysis with all the 'usual' (from UNSEEN-open) UNSEEN plots, return period plots, probability calculations etc.    - An Excel-spreadsheet containing many of the resulting values. The maps were plotted on this basis.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-16T15:20:03.000Z,2024-01-16T15:20:03.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10656089,Takin 2,Zenodo,2023.0,en,Software,Other (Open),"This is Takin 2, an inelastic neutron scattering software suite.
+
+The source code repository is available here:https://github.com/ILLGrenoble/takin, https://github.com/t-weber/takin2.
+
+The software documentation is available here:https://github.com/ILLGrenoble/takin/wiki.
+
+Note: This is version 2 of the software; Takin version 1 (2014-2019) is available here: https://github.com/t-weber/takin and has the DOI 10.5281/zenodo.3961491.
+
+ ",api,True,findable,0.0,0.0,1.0,1.0,0.0,2024-02-14T04:36:31.000Z,2024-02-14T04:36:31.000Z,cern.zenodo,cern,"neutron scattering,triple-axis spectrometer,resolution convolution fitting,linear spin-waves,magnons,spurion calculation","[{'subject': 'neutron scattering'}, {'subject': 'triple-axis spectrometer'}, {'subject': 'resolution convolution fitting'}, {'subject': 'linear spin-waves'}, {'subject': 'magnons'}, {'subject': 'spurion calculation'}]",,
+10.5281/zenodo.10676308,NeoGeographyToolkit/StereoPipeline: 2024-02-18-daily-build,Zenodo,2024.0,,Software,Creative Commons Attribution 4.0 International,Recent additions log: https://stereopipeline.readthedocs.io/en/latest/news.html,api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-18T17:06:45.000Z,2024-02-18T17:06:46.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10474604,MIPkit-W (MISOMIP2),Zenodo,2024.0,en,Dataset,Creative Commons Attribution 4.0 International,"Observational data kit gathered and reprocessed to facilitate the evaluation of ocean and ice-sheet simulations of the Weddell Sea sector as part of MISOMIP2.
+
+ 
+
+__________________________________________
+
+This entire dataset should be cited as:
+
+
+
+the MISOMIP2 MIPkit-W dataset (https://zenodo.org/doi/10.5281/zenodo.8316180) that includes data collected through multiple cruises of the Polarstern Research Vessel and originally provided by the Alfred Wegener Institute, Bremerhaven, Germany, and glaciological data from the MeaSUREs, MeaSUREs ITS_LIVE projects.
+
+
+For more specific use of some of the MIPkit-W data, we encourage people to cite the original data referenced below.
+
+ 
+
+__________________________________________
+
+IceSurfVel_MIPkitW_2000-2019 : annual maps of ice surface velocity
+
+Surface-parallel velocity vectors (in m/year) between 2000 and 2019 are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of all available Earth observation data from the MeaSUREs project (Rignot et al. 2014 and Mouginot et al. 2017) and MeaSUREs ITS_LIVE project (Gardner et al. 2022), with weights corresponding to the inverse square error of the original datasets. Propagated errors and a mask indicating the original data sources for each grid point are also included.
+
+ 
+
+__________________________________________
+
+IceSurfElChange_MIPkitW_1992-2019 : annual maps of surface elevation change
+
+Surface elevation changes (in m) between 1992 and 2019, relative to 16-Dec-2013, are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of available Earth observation data from MeaSUREs ITS_LIVE (Nilsson et al. 2023) for the grounded ice and MeaSUREs ITS_LIVE data (Paolo et al. 2023) for floating ice. Propagated errors and a mask indicating the original data sources for each grid point are also included.
+
+ 
+
+__________________________________________
+
+Oce3d_MIPkitW_* : 3-dimensional temperature and salinity (horizontal slices every 100m)
+
+The hydrographic properties provided on horizontal sections at 15 depths come from the CTD measurements obtained from late December to early March during the Alfred Wegener Institute Polarstern cruises ANT-XII/3 (Schroeder, 2010), PS82 (Schroeder, 2014), PS96 (Schroeder, 2016) and PS111 (Janout, 2019), which cover years 1995, 2014, 2016 and 2018, respectively.
+
+ 
+
+__________________________________________
+
+OceSec<n>_MIPkitW_* : vertical sections
+
+The first vertical section (OceSec1) goes from the tip of the Antartic Peninsula to Kapp Norvegia (12.33°E). It is known as WOCE-SR04 and has been monitored since 1989. The data provided were collected during Polarstern cruises in Sep.-Oct. 1989, Nov.-Dec. 1990, Dec. 1992-Jan. 1993, Mar.-May 1996, Apr.-May 1998 (Fahrbach and Rohardt, 1990, 1991, 1993, 1996, 1998), Jan.-Apr. 2005 (Rohardt 2010), Feb.-Apr. 2008 (Fahrbach and Rohardt, 2008), Dec. 2010-Jan. 2011 (Rohardt et al. 2011), Dec. 2012-Jan. 2013 (Rohardt 2013), as well as Dec. 2016-Jan. 2017 and Dec. 2018-Feb. 2019 (Rohardt and Boebel, 2017, 2020).
+
+The second vertical section (OceSec2) is at approximately 76°S and covers the eastern side of Filchner Through. It was surveyed during some of the Polarstern cruises on 5-8 Jan. 2014 (Schroeder, 2014), 20-24 Jan. 2016 (Schroeder, 2016) and 4-23 Feb. 2018 (Janout, 2019).
+
+The third and fourth sections were obtained along the front of Ronne (OceSec3) and Filchner (OceSec4) ice shelves, respectively. The Filchner section was measured on 1-3 Feb. 1977 by the Norwegian Antarctic Research Expedition with Research Vessel Polarsirkel (Foldvik et al., 1985), 7-16 Jan. 1981 (Hubold and Drescher, 1982), 25 Jan.- 4 Mar. 1995 (Schroeder, 2010), 15-17 Jan. 2014 (Schroeder, 2014), 15 Jan. 2016 (only one vertical profile; Schroeder, 2016), and 14-23 Feb. 2018 (Janout, 2019). The Ronne section was measured by some of these expeditions on 25 Jan.- 24 Feb. 1995, 14-15 Jan. 2016, and 9-14 Feb. 2018.
+
+The files OceSec<n>_MIPkitW_model_lon_lat.csv contain the coordinates (longitude, latitude) at which model data should be interpolated to be compared to the observational sections.
+
+ 
+
+__________________________________________
+
+OceMoor<n>_MIPkitW_* : moorings
+
+Temperature, salinity and velocity time series are provided at three moorings placed along the 76°S vertical section and referred to as OceMoor1 (AWI252, 30.47°W), OceMoor2 (AWI253, 30.99°W) and OceMoor3 (AWI254, 31.48°W), and cover the period from Jan. 2014 to Feb. 2018 (Schroeder et al., 2017a,b,c, 2019a,b,c). Temperature, salinity and velocity data were obtained at two depths for AWI252 (335 and 421 m depth for a seafloor at 447 m) and AWI253 (349 and 434 m depth for a seafloor at 456 m), while a single depth is provided for AWI254 (553 m for a seafloor at 581 m).
+
+ 
+
+__________________________________________
+
+The archive example_routines.zip  contains example of Matlab routines that were used to prepare the MIPkit-W ocean data, as well as GenerateData_MIPkit_Ice.m and writeNC_MIPkit_Ice.m that were used to process glaciological data.
+
+ 
+
+__________________________________________
+
+References
+
+Fahrbach, E. and Rohardt, G. (1990). Physical oceanography during POLARSTERN cruise ANT-VIII/2 (WWGS) on section SR02 and SR04, PANGAEA, https://doi.org/10.1594/PANGAEA.742580
+
+Fahrbach, E. and Rohardt, G. (1991). Physical oceanography during POLARSTERN cruise ANT-IX/2 on section SR04, PANGAEA, https://doi.org/10.1594/PANGAEA.735277
+
+Fahrbach, E. and Rohardt, G. (1993). Physical oceanography during POLARSTERN cruise ANT-X/7 on section SR04, PANGAEA, https://doi.org/10.1594/PANGAEA.742651
+
+Fahrbach, E. and Rohardt, G. (1996). Physical oceanography during POLARSTERN cruise ANT-XIII/4 on section S04A, PANGAEA, https://doi.org/10.1594/PANGAEA.738489
+
+Fahrbach, E. and Rohardt, G. (1998): Physical oceanography during POLARSTERN cruise ANT-XV/4 (DOVETAIL) on section SR04, PANGAEA, https://doi.org/10.1594/PANGAEA.742626
+
+Fahrbach, E. and Rohardt, G. (2008): Physical oceanography during POLARSTERN cruise ANT-XXIV/3, PANGAEA, https://doi.org/10.1594/PANGAEA.733414
+
+Foldvik, A,, Gammelsrød,T. & Tørresen, T. 1985: Hydrographic observations from the Weddell Sea during the Norwegian Antarctic Research Expedition 1976/77. Polar Research, 3:2, 177-193, https://doi.org/10.3402/polar.v3i2.6951
+
+Hubold, G. and Drescher, H. E. (1982). Die Filchner-Schelfeis-Expedition 1980/81 mit MS ""Polarsirkel"". Liste der Planktonfänge und Lichtstärkemessungen , Reports on Polar Research, Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, 4, https://epic.awi.de/id/eprint/26181/1/BerPolarforsch19824.pdf
+
+Rohardt, G. (2010). Physical oceanography during POLARSTERN cruise ANT-XXII/3, https://doi.org/10.1594/PANGAEA.733664
+
+Rohardt, G. (2013). Physical oceanography during POLARSTERN cruise ANT-XXIX/2, https://doi.org/10.1594/PANGAEA.817255
+
+Rohardt, G. and Boebel, O. (2017). Physical oceanography during POLARSTERN cruise PS103 (ANT-XXXII/2), https://doi.org/10.1594/PANGAEA.881076
+
+Rohardt, G. and Boebel, O. (2020). Physical oceanography during POLARSTERN cruise PS117, https://doi.org/10.1594/PANGAEA.910663
+
+Rohardt, G., Fahrbach, E., and Wisotzki, A. (2011): Physical oceanography during POLARSTERN cruise ANT-XXVII/2, https://doi.org/10.1594/PANGAEA.772244
+
+Schröder, M. (2010). Physical oceanography during POLARSTERN cruise ANT-XII/3, https://doi.org/10.1594/PANGAEA.742581
+
+Schröder, M. and Wisotzki, A. (2014). Physical oceanography during POLARSTERN cruise PS82 (ANT-XXIX/9), https://doi.org/10.1594/PANGAEA.833299
+
+Schröder, M., Ryan, S., and Wisotzki, A. (2016). Physical oceanography during POLARSTERN cruise PS96 (ANT-XXXI/2 FROSN), https://doi.org/10.1594/PANGAEA.859040
+
+Schröder, M., Ryan, S., and Wisotzki, A. (2017a). Physical oceanography and current meter data from mooring AWI252-1, https://doi.org/10.1594/PANGAEA.875931
+
+Schröder, M., Ryan, S., and Wisotzki, A. (2017b). Physical oceanography and current meter data from mooring AWI253-1, https://doi.org/10.1594/PANGAEA.875932
+
+Schröder, M., Ryan, S., and Wisotzki, A. (2017c). Physical oceanography and current meter data from mooring AWI254-1, https://doi.org/10.1594/PANGAEA.875933
+
+Schröder, M., Ryan, S., and Wisotzki, A. (2019a). Physical oceanography and current meter data from mooring AWI252-2, https://doi.org/10.1594/PANGAEA.903104
+
+Schröder, M., Ryan, S., and Wisotzki, A. (2019b). Physical oceanography and current meter data from mooring AWI253-2, https://doi.org/10.1594/PANGAEA.903315
+
+Schröder, M., Ryan, S., and Wisotzki, A. (2019c). Physical oceanography and current meter data from mooring AWI254-2, https://doi.org/10.1594/PANGAEA.903317",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-09T14:50:26.000Z,2024-01-09T14:50:26.000Z,cern.zenodo,cern,"Weddell Sea,Ocean model,Antarctica,MISOMIP","[{'subject': 'Weddell Sea'}, {'subject': 'Ocean model'}, {'subject': 'Antarctica'}, {'subject': 'MISOMIP'}]",,
+10.5281/zenodo.10679303,Dataset acquired during the drainage of Bossons lake in summer 2023,Zenodo,2024.0,,Dataset,Creative Commons Attribution 4.0 International,"All given time are UTC. 
+
+This dataset contains:
+
+
+
+Surverse_long_Zlac_15MN.csv : lac level from piezometer since 1st june 2023 every 15 mn, 
+
+Bosson_2023_Halfh.dat : data from piezometers P2 et P3 and thermistances T1 to T6,
+
+data_Tw_chenal_entrance.csv : water temperature at the entrance of chanel, 
+
+GPS_LacLevel.csv : GNSS measurements of lac elevation,
+
+elevation_chenal_entrance.csv : GNSS mesurements of the altitude of the chanel entrance,
+
+chenal_Bossons_date.csv : GNNS measurements of the chanel ice bottom at different dates (31 July 13h30 et 16h50, 1st August 12h30 and 14h30, 2 August 9h00 et 11h50 et 8 August 2023 12h00)
+
+section_chenal_date.csv : measurements of the ice chanel transverse section the 1st August at 8h30 and 13h,
+
+discharge_icechenal.csv : measurements of water discharge in the ice chanel the 31st July, 1st and 2nd August 2023,
+
+discharge_crosette_2023.csv : measurements of water discharge in the Crosette stream the 1st June and 5 July 2023,
+
+Hypsometry_2023-06-26.dat : hypsometry from the bathymetry of 26 June 2023,
+
+PureEmpirical_SeismicReconstructedDischarge.csv : water discharge entering the lake from the pure empirical method using sismic data,
+
+SemiEmpirical_SeismicReconstructedDischarge.csv : water discharge entering the lake from the semi-empirical method using sismic data,
+
+model_output_surverse_10MN.csv : output from the model for the reference simulation. ",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-19T13:30:04.000Z,2024-02-19T13:30:04.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10485583,"Fig. 6 in The chloroplast membrane associated ceQORH putative quinone oxidoreductase reduces long-chain, stress-related oxidized lipids",Zenodo,2016.0,,Image,License Not Specified,"Fig. 6. Characterization of ceQORH properties with long-chain Oi,β-unsaturated ketone with a oxygenated substituent in position γ. (A) ceQORH activity as a function of trans- 1,4-diphenyl-2-butene-1,4-dione concentration. k is 5.5 ± 0.6 s –1, K is 14 ± 3.5 µM. (B) As a function of trans-EKODE(E)-IB concentration. k is 0.5 ± 0.1 s –1, K is 3 ± 1 µM. cat M cat M (C) As a function of Ƴ-ketol 18:1 concentration. k is 6 ± 0.4 s –1, K is 14 ± 3 µM. (D) As a function of Ƴ-ketol-18:2 concentration. k is 3 ± 0.34 s –1, K is 10 ± 3 µM. (E) cat M cat M ceQORH activity as a function of 10-keto-9,13-diol concentration. k is 0.2 ± 0.03 s –1, K is 3 ± 1.4 µM. (F) ceQORH activity as a function of traumatin concentration; The cat M apparent affinity was too low to measure KM and kcat parameters (see Table 1).",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-11T04:59:46.000Z,2024-01-11T04:59:46.000Z,cern.zenodo,cern,"Biodiversity,Taxonomy","[{'subject': 'Biodiversity'}, {'subject': 'Taxonomy'}]",,
+10.5281/zenodo.10474700,MIPkit-A (MISOMIP2),Zenodo,2024.0,en,Dataset,Creative Commons Attribution 4.0 International,"Observational data gathered and reprocessed to facilitate the evaluation of ocean and ice-sheet models in the Amundsen Sea sector as part of MISOMIP2.
+
+ 
+
+__________________________________________
+
+This entire dataset should be cited as: 
+
+
+
+the MISOMIP2 MIPkit-A dataset (http://zenodo.org/doi/10.5281/zenodo.10062355) that includes data collected through multiple cruises of Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany), as well as regridded glaciological data from the MeaSUREs, MeaSUREs ITS_LIVE and CPOM projects
+
+
+For more specific use of some of the MIPkit-A data, we encourage people to cite the original data referenced below.
+
+ 
+
+__________________________________________
+
+IceSurfVel_MIPkitA_2000-2019 : annual maps of ice surface velocity
+
+Surface-parallel velocity vectors (in m/year) between 2000 and 2019 are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of all available Earth observation data from the MeaSUREs project (Rignot et al. 2014 and Mouginot et al. 2017) and MeaSUREs ITS_LIVE project (Gardner et al. 2022), with weights corresponding to the inverse square error of the original datasets. Propagated errors and a mask indicating the original data sources for each grid point are also included.
+
+ 
+
+__________________________________________
+
+IceSurfElChange_MIPkitA_1992-2019 : annual maps of surface elevation change
+
+Surface elevation changes (in m) between 1992 and 2019, relative to 16-Dec-2013, are provided on the common MISOMIP2 grid with regular grid spacing of 1 km. Data were calculated as a weighted average of available Earth observation data from CPOM (Otosaka al. 2023) and MeaSUREs ITS_LIVE (Nilsson et al. 2023) for the grounded ice and MeaSUREs ITS_LIVE data (Paolo et al. 2023) for floating ice. Propagated errors and a mask indicating the original data sources for each grid point are also included.
+
+ 
+
+__________________________________________
+
+Oce3d_MIPkitA_* : 3-dimensional temperature and salinity (horizontal slices every 100m)
+
+The hydrographic properties provided on horizontal sections at 15 depths come from the CTD measurements obtained during cruises of the following icebreaker research vessels: Nathaniel B. Palmer (United States Antarctic Program), James C. Ross (British Antarctic Survey and Natural Environment Research Council), Araon (Korea Polar Research Institute), Oden (Swedish Polar Research) and Polarstern (Alfred Wegener Institute, Germany). In this MIPkit, we have gathered data for the first months of 1994, 2000, 2007, 2009 (Jacobs, 1994, 2000, 2007, 2009), 2010 (Swedish Polar Research Secretariat 2010; Gohl 2015), 2012 (Kim et al. 2012), 2014 (Heywood 2014; Ha et al. 2014), 2016 (Kim et al. 2016), 2017 (Gohl 2017), 2018 (Kim et al. 2018), 2019 (Larter et al. 2019) and 2020 (Wellner, 2020).
+
+ 
+
+__________________________________________
+
+OceSec<n>_MIPkitA_* : vertical sections
+
+The first vertical (OceSec1) section where we provide hydrographic data in the Amundsen Sea starts across the continental shelf break and follows the Eastern Pine Island Trough southward until Pine Island Ice Shelf. This section was monitored by the following cruises: N.B. Palmer in January 2009, Polarstern in March 2010 and Araon in February-March 2012 (Jacobs et al. 2011; Gohl 2015; Dutrieux et al. 2014). The second vertical section (OceSec2) starts across the continental shelf break and follows the Dotson-Getz Trough southward until the Dotson Ice Shelf. It was monitored by the aforementioned Araon expeditions in 2010–2011 and early 2012 (Kim et al. 2017).
+
+The files OceSec<n>_model_lon_lat.csv contain the coordinates (longitude, latitude) at which model data should be interpolated to be compared to the observational sections.
+
+ 
+
+__________________________________________
+
+OceMoor<n>_MIPkitA_* : moorings
+
+The first mooring site (OceMoor1) is located near the northern part of the Pine Island ice shelf front (102.07°W, 74.87°S) and captures the thermocline variability from 2012 to 2018 (""iSTAR-8"" in NERC iSTAR program, and ""pig-n"" in NERC Ocean Forcing Ice Change Program). The second mooring site (OceMoor2)is located near the southern part of the Pine Island ice shelf front (102.15°W, 75.05°S), was monitored between 2009 and 2016, then in 2019–2020 through the following moorings: ""BSR-5"" (Buoy Supported Riser; Jacobs 2009), ""iSTAR-9"" (NERC iSTAR Program), and ""pig-s"" (NERC Ocean Forcing Ice Change Program). This second site experienced a strong deepening of the thermocline in 2012–2013 (Webber et al. 2017), then a more moderate deepening in 2016. These two mooring sites are located only 20 km from each other, show distinct mean thermocline depth and more consistent variability (Joughin et al. 2021).
+
+The third mooring observation (OceMoor3, ""trough-e"" in NERC Ocean Forcing Ice Change Program) used in MISOMIP is at the eastern Pine Island trough (102.55°W, 71.33°S). The eastern trough is considered to be the entrance of mCDW reaching the Pine Island Ice Shelf (Jacobs et al. 2011; Nakayama et al. 2013; Webber et al. 2017) but only two years of mooring observation was conducted from 2014-2015 due to important sea ice cover. The fourth mooring site (OceMoor4) used in MISOMIP is at the western Pine Island trough (113.05°W, 71.56°S). Several mooring observations were conducted within 2 km of each other, allowing us to observe thermocline variability from 2009 to 2016 with one year gap in 2011: ""BSR-12"" (Jacobs 2009), ""iSTAR-1"" (NERC iSTAR Program), and ""trough-w"" (NERC Ocean Forcing Ice Change Program).
+
+ 
+
+ 
+
+__________________________________________
+
+The archive example_routines.zip contains example of Matlab routines that were used to prepare the MIPkit-A ocean data, as well as GenerateData_MIPkit_Ice.m and writeNC_MIPkit_Ice.m that were used to process the MIPkit-A glaciological data.
+
+ 
+
+ 
+
+__________________________________________
+
+References
+
+Dutrieux, P., De Rydt, J., Jenkins, A., Holland, P. R., Ha, H. K., Lee, S. H., Steig, E. J., Ding, Q., Abrahamsen, E. P., and Schröder, M.: Strong sensitivity of Pine Island ice-shelf melting to climatic variability, Science, 343, 174–178, 2014.
+
+Gohl, K.: Station list and links to master tracks in different resolutions of POLARSTERN cruise ANT-XXVI/3, Wellington - Punta Arenas, 2010-01-30 - 2010-04-05, Tech. rep., Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, https://doi.org/10.1594/PANGAEA.847944, 2015.
+
+Gohl, K.: The Expedition PS104 of the Research Vessel POLARSTERN to the Amundsen Sea in 2017, Reports on polar and marine research, Tech. rep., Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, http://doi.org/10.2312/BzPM_0712_2017, 2017.
+
+Ha, H. K., Kim, T. W., Lee, H. J., Kang, C. Y., Hong, C. S., Wåhlin, A. K., Rolandsson, J., Karen, O., and Miles, T.: The Amundsen Sea Expedition (ANA04B): IBRV Araon, 24 December 2013 – 25 January 2014 – Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4605, 2014.
+
+Heywood, K. 690 J.: JR294/295 Cruise Report, Ice Sheet Stability Programme (iSTAR), RRS James Clark Ross, 26th February – 8th March 2014, Amundsen Sea, Tech. rep., Natural Environment Research Council (NERC), https://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/13405/, 2014.
+
+Jacobs, S.: Cruise NBP9402, RVIB Nathaniel B. Palmer, Feb 14 – Apr 5 1994, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905397, 1994.
+
+Jacobs, S.: Cruise NBP0001, RVIB Nathaniel B. Palmer, Feb 15 – Apr 1 2000, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905450, 2000.
+
+Jacobs, S.: Cruise NBP0702, RVIB Nathaniel B. Palmer, Feb 03 – Mar 25 2007, Tech. rep., United States Antarctic Program. http://doi.org/10.7284/905530, 2007.
+
+Jacobs, S.: Cruise NBP0901, RVIB Nathaniel B. Palmer, Jan 05 – Feb 26 2009, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/905547, 2009.
+
+Jacobs, S. S., Jenkins, A., Giulivi, C. F., and Dutrieux, P.: Stronger ocean circulation and increased melting under Pine Island Glacier ice shelf, Nature Geoscience, 4, 519–523, 2011.
+
+Joughin, I., Shapero, D., Smith, B., Dutrieux, P., and Barham, M.: Ice-shelf retreat drives recent Pine Island Glacier speedup, Science Advances, 7, eabg3080, 2021.
+
+Kim, T. W., H, H. K., and Hong, C. S.: The Amundsen Sea Expedition (ANA02C): IBRV Araon, 31 January 2012 – 20 March 2012 – Chapther 1: Hydrographic Survey, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/4603, 2012.
+
+Kim, T. W., Cho, K. H., Kim, C. S., Yang, H. W., La, H. S., Lee, J. H., Kim, D. K., Jung, J. H., Wåhlin, A. K., Assmann, K. M., Darelius, E., Abrahamsen, E. P., and Waite, N.: The Amundsen Sea Expedition (ANA06B): IBRV Araon, 6 January – 23 February 2016 – Chapther 1: Physical Oceanography in Amundsen Sea, Tech. rep., Korea Polar Research Institute, Incheon, https://ftp.nmdc.no/nmdc/UIB/Mooring/20181213/ANA06B_cruise_report.pdf, 2016.
+
+Kim, T.-W., Ha, H. K., Wåhlin, A. K., Lee, S., Kim, C.-S., Lee, J. H., and Cho, Y.-K.: Is Ekman pumping responsible for the seasonal variation of warm circumpolar deep water in the Amundsen Sea?, Continental Shelf Research, 132, 38–48, 2017.
+
+Kim, T. W., Cho, K. H., Park, T. W., Yang, H. W., Kim, Y., Assmann, K. M., Rolandsson, J., Dutrieux, P., Gobat, J., Beem, L., Richter, T., Buhl, D., and Durand, I.: The Amundsen Sea Expedition (ANA08B): IBRV Araon, 21 December 2017 – 13 February 2018 – Chapther 1: Physical Oceanography, Tech. rep., Korea Polar Research Institute, Incheon, https://repository.kopri.re.kr/handle/201206/9441, 2018.
+
+Larter, R., Barham, M., Boehme, L., Braddock, S., Graham, A., Hogan, K., Mazur, A., Minzoni, R., Queste, B., Sheehan, P., Spoth, M., Wåhlin, A., Bortolotto-d'Oliveira, G., Clark, R. W., Fitzgerald, V., Karam, S., Kirkham, J., Stedt, F., Zheng, Y., Beeler, C., Goodell, J., Rush, E., Snow, T., Welzenbach, L., Andersson, J., and Rolandsson, J.: Cruise NBP1902, RVIB Nathaniel B. Palmer, Jan 29 – Mar 25 2019, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908147, 2019.
+
+Nakayama, Y., Schröder, M., and Hellmer, H. H.: From circumpolar deep water to the glacial meltwater plume on the eastern Amundsen Shelf, Deep Sea Res. I, 77, 50–62, 2013.
+
+Swedish Polar Research Secretariat: Oden Southern Ocean 2009/10 - Conductivity-Temperature-Depth (CTD) Data Collected Onboard Icebreaker Oden during February through March 2010, Tech. rep., Swedish Polar Research, http://snd.gu.se/en/catalogue/dataset/ecds0220-1, 2010.
+
+Webber, B. G. M., Heywood, K. J., Stevens, D. P., Dutrieux, P., Abrahamsen, E. P., Jenkins, A., Jacobs, S. S., Ha, H. K., Lee, S. H., and Kim, T. W.: Mechanisms driving variability in the ocean forcing of Pine Island Glacier, Nature Communications, 8, 1–8, 2017.
+
+Wellner, J.: Cruise NBP2002, RVIB Nathaniel B. Palmer, Jan 25 2020 – Mar 08 2020, Tech. rep., United States Antarctic Program, http://doi.org/10.7284/908803, 2019.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-09T15:27:46.000Z,2024-01-09T15:27:46.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10533809,SpectralGPT: The first remote sensing foundation model customized for spectral data,Zenodo,2024.0,,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,0.0,0.0,0.0,0.0,0.0,2024-01-22T02:08:21.000Z,2024-01-22T02:08:21.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10004947,Model Counting Competition 2020: Full Instance Set,Zenodo,2023.0,en,Dataset,Creative Commons Attribution 4.0 International,"The dataset contains all instances that the organizers of the competition received or collected during the preparation phase of the Model Counting Competition 2020. The dataset includes short benchmark descriptions (00_description.{pdf,txt,md}) by the submitters/collectors (00_authors.txt).
+For a more details, we refer to the reportFichte, Hecher, Hamiti: The Model Counting Competition 2020.
+-----Changelog:
+2023-10-17 (v2): We updated the instances to the most recent competition format in preparation for the report on the competitions 2021-2023. Note that the old instance set contained various instances with incorrect headers (less variables or clauses than in the actual data), unterminated lines, or a few broken lines. We corrected these instances by scripts that are available on github (daajoe:mc_format_tools).",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-15T17:44:01.000Z,2024-02-15T17:44:02.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10592270,silx-kit/silx: 2.0.0: 2024/01/30,Zenodo,2024.0,,Software,Creative Commons Attribution 4.0 International,"This version of silx supports Python 3.7 to 3.12.
+This is the last version of silx supporting Python 3.7.
+The silx.gui package supports PySide6, PyQt6 and PyQt5 (PySide2 is no longer supported).
+
+Breaking API change: silx.gui.plot.PlotWidget's add methods (i.e., addCurve, addImage, ...) returns the plot item object instance instead of its legend (https://github.com/silx-kit/silx/pull/3996).
+
+<details><summary>
+
+What's Changed...
+
+</summary>
+
+silx applications
+
+
+
+
+Added silx compare, a dedicated application to compare images (PR #3788, #3827, #3884, #3943, #3944)
+
+
+
+silx view:
+
+
+
+Added --slices option (PR #3860)
+
+Added supports for data URL containing ""**"" to match multiple sub groups (PR #3795)
+
+Added keyboard shortcuts for open/close all (PR #3863)
+
+Improved: Stopped displaying a message box for each error (PR #3955)
+
+Improved: Use matplotlib if OpenGL is not available (PR #3905)
+
+Fixed support of NXData image with 0-length axis (PR #3768)
+
+Fixed setting focus at startup when opening a dataset (PR #3953)
+
+
+
+
+silx.app.utils: Refactored (PR #3811)
+
+
+
+silx.io
+
+
+
+
+silx.io.dictdump:
+
+
+
+Removed dicttoh5's overwrite_data argument (PR #3806)
+
+Improved error message for dicttoh5 with non-serializable data (PR #3937)
+
+Fixed h5todict errors argument issue (PR #3749) and fixed-length string issue (PR #3748)
+
+
+
+
+silx.io.h5py_utils:
+
+
+
+Fixed retry (PR #3775)
+
+Fixed: Do not call multiprocessing module in frozen binaries (PR #3984)
+
+
+
+
+silx.io.nxdata.parser: Fixed NXdata validation (PR #3782)
+
+
+
+silx.io.url:
+
+
+
+Added support of URLs with slices to DataUrl (PR #3821)
+
+Added typings for DataUrl (PR #3968)
+
+Fixed DataUrl: Allow file_path to be None (PR #4051)
+
+
+
+
+silx.io.utils:
+
+
+
+Added support of bare file to get_data with check_schemas=True argument (PR #3859)
+
+Improved: open do not lock the file (PR #3939)
+
+Fixed small/big endian support in test (PR #3873)
+
+Fixed h5py_read_dataset support of empty arrays (PR #4052)
+
+
+
+
+silx.math
+
+
+
+Fixed several function docstrings (PR #3774)
+
+silx.math.colormap: Added normalize function to normalize to uint8 (PR #3785)
+
+silx.math.fit: Added split pseudo-voigt with split lorentzian fraction (PR #3902)
+
+
+silx.opencl
+
+
+
+
+Fixed regression with PoCL and order of floating point operations (PR #3935)
+
+
+
+Fixed: skip test on broken platform (PR #3809)
+
+
+
+Fixed: prevent crash at init when loading silx with PortableCL + Cuda devices (PR #3924)
+
+
+
+silx.opencl.atomic: Added new checking for atomic32 and atomic64 operation (PR #3855)
+
+
+
+silx.opencl.backprojection: Removed deprecated fourier_filter function (PR #3816)
+
+
+
+silx.opencl.codec:
+
+
+
+Added `bitshuffle_lz4`` decompression (PR #3714)
+
+Added support of pyopencl's Buffer and Array to BitshuffleLz4.decompress (PR #3787)
+
+
+
+
+`silx.opencl.common``:
+
+
+
+Removed OpenCL.create_context useFp64 argument (PR #3801)
+
+Reworked initialisation of the module (PR #3903)
+
+Updated: Defer to pyopencl the interpretation of PYOPENCL_CTX (PR #3933)
+
+
+
+
+silx.opencl.convolution: Removed Python 2 compatible code (PR #3818)
+
+
+
+silx.third_party
+
+
+
+Removed copy of scipy's Delaunay from third_party (PR #3808)
+
+Deprecated EdfFile and TiffIO (PR #3841)
+
+
+silx.gui
+
+
+
+
+silx.gui:
+
+
+
+Added support for QT_API environment variable (PR #3981)
+
+Added a warning about pyOpenGL and Qt compatibility (PR #3738)
+
+Added some Python typing (PR #3957)
+
+Removed support of  PySide6<6.4 (PR #3872)
+
+Improved qWidgetFactory test fixture (PR #4009)
+
+Fixed support of PySide 6.4 enums (PR #3737)
+
+Fixed support of PyQt6 (PR #3960, #3966, #3989, #3999, #4003)
+
+Fixed support of OpenGL with python3.12 and pyopengl <=3.1.7 (PR #3982)
+
+Fixed OpenGL version parsing (PR #3733)
+
+
+
+
+silx.gui.colors:
+
+
+
+Added indexed color names support to rgba (PR #3836, #3861)
+
+Added typing (PR #3974)
+
+silx.gui.colors.rgba: Changed from AssertionError to ValueError (PR #3864)
+
+Improved: Colormap.setVRange raises an exception if the range is not finite (PR #3794)
+
+
+
+
+silx.gui.constants: Added: expose URI used to drag and drop DataUrl (PR #3796)
+
+
+
+silx.gui.data:
+
+
+
+Fixed issue with hdf5 attributes string formatting (PR #3790)
+
+silx.gui.data.DataView: Removed patch for pymca <v5.3.0 support (PR #3800)
+
+silx.gui.data.HDF5TableView: Fixed virtual and external dataset information (PR #3717)
+
+silx.gui.data.RecordTableView: Fixed issue with datasets with many rows failing to load due to incorrect variable type (PR #3926)
+
+
+
+
+silx.gui.dialog:
+
+
+
+
+silx.gui.dialog.ColormapDialog:
+
+
+
+Added DisplayMode to API by renaming _DataInPlotMode (PR #3964)
+
+Fixed layout (PR #3792)
+
+Fixed state when updating Item (PR #3833)
+
+Fixed robustness of tools with item inheriting from ImageBase (PR #3858)
+
+
+
+
+
+
+silx.gui.hdf5:
+
+
+
+Added NXnote to the list of describable classes (PR #3832)
+
+Added tests for H5Node soft link to an external link issue (PR #3220)
+
+
+
+
+silx.gui.qt:
+
+
+
+Updated PySide6 loadUi function (PR #3783)
+
+Fixed Python>3.9 support (PR #3779)
+
+
+
+
+silx.gui.plot:
+
+
+
+
+silx.gui.plot.actions: Added typings for PlotAction (PR #3941)
+
+
+
+silx.gui.plot.items:
+
+
+
+
+Added Marker item font configuration (PR #3956)
+
+
+
+Added background color for markers and removed automatic background color (PR #4012)
+
+
+
+Added get|setLineGapColor methods to Curve and Histogram (PR #3973)
+
+
+
+Renamed Shape.get|setLineBgColor to get|setLineGapColor (PR #4001)
+
+
+
+Deprecated Curve and Image sequence-like access (PR #3803)
+
+
+
+Improved handling of data ndim and shape for image items (PR #3976)
+
+
+
+Fixed: Removed ImageDataAggregated all-NaN warning (PR #3786)
+
+
+
+Fixed Shape display with dashes and a background color (PR #3906)
+
+
+
+silx.gui.plot.items.roi:
+
+
+
+Added RegionOfInterest's getText and setText methods (PR #3847)
+
+Added populateContextMenu method to ROIs (PR #3891)
+
+Added ArcROI.getPositionRole method (PR #3894)
+
+Added ROIs base classes to documentation (PR #3839)
+
+Removed deprecated methods RegionOfInterest.get|setLabel (PR #3810)
+
+Improved `ArcROI``: Hide the handler instead of hidding the symbol (PR #3887)
+
+Improved: highlighted RegionOfInterest takes priority for interactions (PR #3975)
+
+Fixed ROI initialisation with parent (PR #4053)
+
+
+
+
+
+
+silx.gui.plot.ColorBar: Fixed division by zero issue (PR #4013)
+
+
+
+silx.gui.plot.CompareImages:
+
+
+
+Added profile to compare image (PR #3845)
+
+Improved consistency of autoscale (PR #3823)
+
+Fixed the A-B visualization mode (PR #3856)
+
+
+
+
+silx.gui.plot.ImageStack:
+
+
+
+Added URL removal feature if the list is editable (PR #3913)
+
+Fixed ImageStack handling of visible state (PR #3834)
+
+Fixed issue (PR #4050)
+
+
+
+
+silx.gui.plot.ImageView: Fixed histogram visibility (PR #3742)
+
+
+
+silx.gui.plot.PlotWidget:
+
+
+
+
+Breaking changes:
+
+
+
+Changed add* methods return value to return the item instead of its legend (PR #3996)
+
+Refactored management of items (PR #3986, #3988)
+
+
+
+
+Added margins argument to PlotWidget.setLimits (PR #3828)
+
+
+
+Added Plotwidget.get|setDefaultColors and updated default colors behavior (PR #3835)
+
+
+
+Added PlotWidget.sigBackendChanged (PR #3890)
+
+
+
+Added per-axis zoom (PR #3842, #3843)
+
+
+
+Added support for 'other' kind of plot items (PR #3908)
+
+
+
+Added support of matplotlib tight layout as an experimental feature (PR #3865)
+
+
+
+Added support of line style defined as (offset, (dash pattern)) (PR #4020)
+
+
+
+Added support for indexed color names support (PR #3836)
+
+
+
+Added sample script to check and compare backend features (PR #4031)
+
+
+
+Changed curve default colors to matchthe one from matplotlib >=2.0 (PR #3853)
+
+
+
+Changed curve highlighting to use by default a linewidth of 2 (PR #3854)
+
+
+
+Changed plot axes tick labels behavior to use offsets (PR #4007)
+
+
+
+Changed: use the default font from mpl (PR #4025)
+
+
+
+Changed font management (PR #4047)
+
+
+
+Improved rendering for OpenGL backend (PR #4002, #4015, #4023, #4034, #4038)
+
+
+
+Fixed documentation (PR #3773)
+
+
+
+Fixed mouse cursor update (PR #3904)
+
+
+
+Fixed: do not reset zoom when changing axes scales (PR #3862, #3869)
+
+
+
+Fixed: use PlotWidget.get|setActiveScatter instead of private method (PR #3987)
+
+
+
+Fixed tick display of time series (PR #4000)
+
+
+
+Fixed matplotlib marker without background (PR #4028)
+
+
+
+
+
+silx.gui.plot.PlotWindow: Fixed display of zoom in/out actions (PR #3837)
+
+
+
+silx.gui.plot.RulerToolButton: Added interactive plot measurement tool (PR #3959, #4005)
+
+
+
+silx.gui.plot.StackView: Removed setColormap autoscale argument (PR #3805)
+
+
+
+silx.gui.plot.tools:
+
+
+
+
+silx.gui.plot.tools.PositionInfo: Fixed support of dark theme (PR #3965)
+
+
+
+silx.gui.plot.tools.profile: Fixed concurrency issue with RGB profiles (PR #3846)
+
+
+
+silx.gui.plot.tools.roi.RegionOfInterestManager:
+
+
+
+Changed interaction mode for ROI creation (PR #3978)
+
+Fixed display glitch (PR #3954)
+
+
+
+
+
+
+
+
+silx.gui.plot3d:
+
+
+
+
+Updated font management (PR #4047)
+
+
+
+Fixed deprecation warning (PR #4046)
+
+
+
+silx.gui.plot3d.ParamTreeView:
+
+
+
+Added typing and code cleanup (PR #3972)
+
+Fixed Qt6 support (PR #3971)
+
+
+
+
+
+
+silx.gui.utils.image: Added support of QImage.Format_Grayscale8 to convertQImageToArray (PR #3958)
+
+
+
+silx.gui.widgets:
+
+
+
+
+silx.gui.widgets.FloatEdit:
+
+
+
+Added widgetResizable feature (PR #4006)
+
+Added typing and code cleanup (PR #3972)
+
+
+
+
+silx.gui.widgets.StackedProgressBar: Added widget displaying more complex information progress information (PR #4008)
+
+
+
+silx.gui.plot.widgets.UrlList: Added UrlList widget (PR #3913)
+
+
+
+silx.gui.widget.UrlSelectionTable:
+
+
+
+Improved look&feel and enabled drag&drop from silx view (PR #3797)
+
+Updated: Split the URL column in 3 columns (PR #3822)
+
+Fixed exception with interaction, renamed get|setSelection to get|setUrlSelection (PR #3791)
+
+
+
+
+silx.gui.widgets.WaiterOverlay: Added a widget to display processing wheel on top of another widget (PR #3876)
+
+
+
+
+
+silx.utils:
+
+
+
+silx.utils.launcher: Improved error message (PR #3793)
+
+silx.utils.retry: Fixed: Lazy-loading of multiprocessing module (PR #3979)
+
+
+
+
+Miscellaneous
+
+
+
+
+Dependencies:
+
+
+
+Removed support of Python 3.6 (PR #3712), PySide2 (PR #3784) and fabio<0.9 (PR #3829)
+
+Replaced setuptools's pkg_resources with packaging as runtime dependency (PR #3910)
+
+Fixed support of pint >= 0.20 (PR #3725), cython (PR #3770, #4033) and PyInstaller v6 (PR #4041)
+
+Fixed deprecation warnings from numpy, scipy, matplotlib and h5py (PR #3741, #3777, #4045, #3980)
+
+
+
+
+Clean-up:
+
+
+
+Removed features deprecated since <1.0.0 (PR #3798, #3799, #3802, #3804)
+
+Removed remaining Python2 support (PR #3815, #3840, #3952)
+
+Removed unused imports (PR #3814)
+
+Replaced OrderedDict by dict (PR #3830)
+
+Updated: Using black to format the code (PR #3991)
+
+Fixed typo: 4 "" quotes instead of 3. (PR #3838)
+
+
+
+
+Build:
+
+
+
+Removed setup.py commands and options (PR #3831)
+
+Removed constraint on setuptools version (PR #3909)
+
+Updated build dependencies (PR #4035)
+
+Fixed Windows fat binary filename and links (PR #4048)
+
+Bump to 2.0.dev (PR #4014)
+
+
+
+
+Debian packaging:
+
+
+
+Removed Debian 10 and 11 packaging (PR #4017)
+
+Added Debian 12 packaging (PR #3812)
+
+Added pytest-mock to Debian build dependencies (PR #3740)
+
+Updated build-deb.sh (PR #4022, #3772) and rules (PR #3732)
+
+
+
+
+Updated documentation (PR #3765, #3899, #3970, #3994, #4037, #4036, #4039, #4042, #4055)
+
+
+
+Updated continuous integration (PR #3727, #3967, #3983)
+
+
+
+Fixed tests (PR #3722, #3723, #4043, #4044)
+
+
+
+</details>
+
+New Contributors
+
+
+
+@loichuder made their first contribution in https://github.com/silx-kit/silx/pull/3774
+
+@alejandrohomsp made their first contribution in https://github.com/silx-kit/silx/pull/3832
+
+@carez made their first contribution in https://github.com/silx-kit/silx/pull/3926
+
+@lesaintjerome made their first contribution in https://github.com/silx-kit/silx/pull/3943
+
+
+Full Changelog: https://github.com/silx-kit/silx/compare/v1.1.2...v2.0.0",api,True,findable,0.0,0.0,0.0,1.0,0.0,2024-01-30T13:54:09.000Z,2024-01-30T13:54:09.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10568799,"Voter Autrement 2022 - The Online Experiment (""Un Autre Vote'')",Zenodo,2024.0,en,Dataset,ODC Open Database License v1.0," In April 2022, we have run a voting experiment during the French presidential election. During this experiment, participants were asked to test several alternative voting methods to elect the French president, like scoring methods, instant-runoff voting, Borda with partial rankings, majority judgement and pairwise comparisons. The experiment was both carried out in situ in polling stations during the first round of the presidential election (using paper ballots), and online between April 8th (two days before the first round of the election) and May 7th (using a web application). A total of 2308 participants took part in the online experiment. This dataset contains the answers provided by the participants to the online experiment, with no other processsing than a basic transformation to a set of CSV files.
+
+The companion paper available on this repository describes the experimental protocol, the format of the files, and summarizes the precise conditions under which this dataset is available.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-30T15:47:32.000Z,2024-01-30T15:47:32.000Z,cern.zenodo,cern,"Election,Social Choice,Voting,Experimental Voting,Comsoc","[{'subject': 'Election'}, {'subject': 'Social Choice'}, {'subject': 'Voting'}, {'subject': 'Experimental Voting'}, {'subject': 'Comsoc'}]",,
+10.5281/zenodo.10621171,easystats/insight: insight 0.19.8,Zenodo,2024.0,,Software,Creative Commons Attribution 4.0 International,"General
+
+
+
+
+Removed deprecated arguments in get_data.mmrm().
+
+
+
+Improved support for models of class rqs (package quantreg).
+
+
+
+Revised test to address forthcoming changes in the pscl package.
+
+
+
+Bug fixes
+
+
+
+
+Fixed issue in get_loglikelihood() for glm-models with binary outcome, where
+levels were defined in reversed order.
+
+
+
+Fixed issue in find_formula() for models of class glmmPQL (package MASS).
+
+
+
+Fixed issue in find_formula() for models of class gam (package mgcv) for
+the ""gaulss"" family.
+
+
+
+Fixed issue in get_variance() for glmmTMB models with family = ""ordbeta"".
+
+
+
+Fixed issue in model_info() with correctly detecting multivariate vgam/vglm
+models.",api,True,findable,0.0,0.0,0.0,1.0,0.0,2024-02-05T19:50:10.000Z,2024-02-05T19:50:10.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10475278,DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages,Zenodo,2023.0,mul,Dataset,Creative Commons Attribution 4.0 International,"The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
+This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-01-09T15:40:33.000Z,2024-01-09T15:40:33.000Z,cern.zenodo,cern,"Wiktionary,LLOD,Linguistic Linked Open Data,Ontolex,RDF","[{'subject': 'Wiktionary'}, {'subject': 'LLOD'}, {'subject': 'Linguistic Linked Open Data'}, {'subject': 'Ontolex'}, {'subject': 'RDF'}]",,
+10.5281/zenodo.10548744,WRFChem MOSAiC run,Zenodo,2024.0,,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,0.0,0.0,0.0,0.0,0.0,2024-01-22T11:19:08.000Z,2024-01-22T11:19:08.000Z,cern.zenodo,cern,,,,
+10.6084/m9.figshare.12926231,Additional file 1 of Expert consensus-based clinical practice guidelines management of intravascular catheters in the intensive care unit,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Pediatrics R1 Chlorhexidine-alcohol disinfection. Pediatrics R2 and R4 US and site of insertion. Pediatrics R3 radial vs. femoral artery access. Pediatrics R5 impregnated impregnated CVCs. Pediadrics R6 heparin bonded CVCs. Pediatrics R7 continuous quality improvement program. Pediatrics R8 CHG dressings CVCs and arterial catheters. Adults and pediatrics Prevention R 1-1 and 1-2 subclavian vs. Internal jugular vs. femoral. R 1-3 alc-CHG vs. alc-PVI. R 1-4 1 step vs. 4 steps desinfections. R 1-5 antiseptic and antibiotic impregnated catheters. R1-6 heparin bonded CVCs. R 1-7 CHG dressings vs. transparent dressings. R 1-8 dressing change frequencies. R 1-9 R1-10 R 1-11 R1-12 US and site of insertion. Surveillance R 2.1 R2.2 surveillance network. R 2-2 quality improvement program. R2-3 culture of catheters Catheter related infection R3-1 R3-4 blood culture. R3-2 R3-3a R3-3b persistent bacteraemia : R 3-5 R3-6 R3-7 R3-9 R3-15 Catheter removed. R3-8 R3-10 R3-12 R3-13 duration of antibiotics. R3-11 antifungal therapy R3-14 antibiotic therapy.,mds,True,findable,0.0,0.0,2.0,1.0,0.0,2020-09-08T03:48:23.000Z,2020-09-08T03:48:24.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Environmental Sciences not elsewhere classified,Biological Sciences not elsewhere classified,Marine Biology,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Marine Biology'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['427118 Bytes'],