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 6548921b13d9868186c74871f15a179fc42c0d2e..08a056a8544820b9007ab3ea40541ca2def689a0 100644
--- a/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
+++ b/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
@@ -1,13 +1,13 @@
 client,count,name,year,url
-cern.zenodo,717,Zenodo,2013,https://zenodo.org/
+cern.zenodo,719,Zenodo,2013,https://zenodo.org/
 inist.sshade,475,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
-figshare.ars,258,figshare Academic Research System,2016,http://figshare.com/
+figshare.ars,260,figshare Academic Research System,2016,http://figshare.com/
 inist.osug,238,Observatoire des Sciences de l'Univers de Grenoble,2014,http://doi.osug.fr
 dryad.dryad,158,DRYAD,2018,https://datadryad.org
 inist.resif,80,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
-inist.humanum,57,Huma-Num,2020,https://nakala.fr
+inist.humanum,57,NAKALA,2020,https://nakala.fr
 inist.persyval,55,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
-rdg.prod,52,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
+rdg.prod,53,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
 fmsh.prod,28,Fondation Maison des sciences de l'homme,2023,
 mcdy.dohrmi,12,dggv-e-publications,2020,https://www.dggv.de/publikationen/dggv-e-publikationen.html
 figshare.sage,6,figshare SAGE Publications,2018,
diff --git a/1-enrich-with-datacite/nb-dois.txt b/1-enrich-with-datacite/nb-dois.txt
index 848b2e7e2dfe5915735fec17ffcfe343065576f9..376a9aff56a3e4a6ae4e091d92b9b1a65b65618f 100644
--- a/1-enrich-with-datacite/nb-dois.txt
+++ b/1-enrich-with-datacite/nb-dois.txt
@@ -1 +1 @@
-2171
\ No newline at end of file
+2176
\ No newline at end of file
diff --git a/2-produce-graph/hist-evol-datasets-per-repo.png b/2-produce-graph/hist-evol-datasets-per-repo.png
index a1cf9bd6c41ac2627167a288c3571981b2acfef6..e6c362f1c5ad42b7314b692c5e8fb97579bffe63 100644
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diff --git a/2-produce-graph/hist-last-datasets-by-client.png b/2-produce-graph/hist-last-datasets-by-client.png
index d7d1b4eee236d7671e04cead54548a2c1900364b..eb57e95293681095f09521096cedf6aa29063aea 100644
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diff --git a/2-produce-graph/hist-quantity-year-type.png b/2-produce-graph/hist-quantity-year-type.png
index 4a050755abc50106227819d5162ff3f579562bd7..7206fab79ad9d844458ff99836d99fd7b8a6243c 100644
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diff --git a/2-produce-graph/pie--datacite-client.png b/2-produce-graph/pie--datacite-client.png
index fa12fc64dad964766726fecfa775c7bf31f609b0..712de10a905806311ac5251bb6b2919fc23b0adf 100644
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diff --git a/2-produce-graph/pie--datacite-type.png b/2-produce-graph/pie--datacite-type.png
index ccb12318a40138dc52c5a2255c730c4bcbc97879..130a172c02afc7f33d98f2cf86bb678ccc22c4d1 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 229bd5195e8922257f2db83908b6c05b6939cf0b..636d87d6127fa1553540a730c8e99616562c1a91 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -9917,3 +9917,10 @@ CLUSTER: cluster ID. Earthquakes with the same cluster ID were detected by the s
 10.7914/ts1a-7g40,Remuaz,International Federation of Digital Seismograph Networks,2024,,Dataset,,The aim of the network is to record the micro-seismicity generated by a zone of rock instability located on the Remuaz fault (Aiguilles Rouges). The antenna of 6 vertical component (1Hz) and 2 three component sensors (1Hz) will also monitor the frequency of various blocks of the instability.,api,True,findable,0,0,0,0,0,2024-06-21T16:23:47.000Z,2024-06-21T16:23:47.000Z,iris.iris,iris,,,['500000 MB'],['SEED data'],,,,
 10.5281/zenodo.12170086,cnn4L-discontinuities,Zenodo,2024,,Other,Creative Commons Attribution 4.0 International,"cnn4l-discontinuities performs sub-pixel correlation of optical satellite images for the retrieval of ground displacement, designed to mitigate bias around fault ruptures.",api,True,findable,0,0,0,0,1,2024-06-19T18:24:23.000Z,2024-06-19T18:24:23.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],
 10.5281/zenodo.7031228,ghislainp/tartes: pre-version 2.0 for the peer review process,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,This version corresponds to the article Tartes v2.0 submitted to GMD. The version will be set to 2.0 at the end of the review process.,api,True,findable,0,0,0,1,0,2024-06-18T16:39:16.000Z,2024-06-18T16:39:16.000Z,cern.zenodo,cern,,,,,,,"['IsSupplementTo', 'HasVersion', 'HasVersion']","[['IsVersionOf', '10.5281/zenodo.7031228']]"
+10.6084/m9.figshare.c.7306419,Impact of intensive prone position therapy on outcomes in intubated patients with ARDS related to COVID-19,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Previous retrospective research has shown that maintaining prone positioning (PP) for an average of 40 h is associated with an increase of survival rates in intubated patients with COVID-19-related acute respiratory distress syndrome (ARDS). This study aims to determine whether a cumulative PP duration of more than 32 h during the first 2 days of intensive care unit (ICU) admission is associated with increased survival compared to a cumulative PP duration of 32 h or less. Methods This study is an ancillary analysis from a previous large international observational study involving intubated patients placed in PP in the first 48 h of ICU admission in 149 ICUs across France, Belgium and Switzerland. Given that PP is recommended for a 16-h daily duration, intensive PP was defined as a cumulated duration of more than 32 h during the first 48 h, whereas standard PP was defined as a duration equal to or less than 32 h. Patients were followed-up for 90 days. The primary outcome was mortality at day 60. An Inverse Probability Censoring Weighting (IPCW) Cox model including a target emulation trial method was used to analyze the data. Results Out of 2137 intubated patients, 753 were placed in PP during the first 48 h of ICU admission. The intensive PP group (n = 79) had a median PP duration of 36 h, while standard PP group (n = 674) had a median of 16 h during the first 48 h. Sixty-day mortality rate in the intensive PP group was 39.2% compared to 38.7% in the standard PP group (p = 0.93). Twenty-eight-day and 90-day mortality as well as the ventilator-free days until day 28 were similar in both groups. After IPCW, there was no significant difference in mortality at day 60 between the two-study groups (HR 0.95 [0.52–1.74], p = 0.87 and HR 1.1 [0.77–1.57], p = 0.61 in complete case analysis or in multiple imputation analysis, respectively). Conclusions This secondary analysis of a large multicenter European cohort of intubated patients with ARDS due to COVID-19 found that intensive PP during the first 48 h did not provide a survival benefit compared to standard PP.",mds,True,findable,0,0,0,0,0,2024-06-28T04:01:15.000Z,2024-06-28T04:01:16.000Z,figshare.ars,otjm,"Medicine,Physiology,FOS: Biological sciences,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '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': 'Developmental Biology'}, {'subject': 'Science Policy'}]",,,,,['IsIdenticalTo'],"[['IsIdenticalTo', '10.6084/m9.figshare.c.7306419']]"
+10.5281/zenodo.12528242,Mont Blanc ice core d15N(NO3-) values,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"All d15N(NO3-) measurements are gathered along the CDD16 ice core. As noted in previous publications, there are gaps in the age chronology. Consequently, some measurement values are not associated with an age. 
+
+For the bottommost measurements, because the density profile is less consistent due to ice debris, only the concentrations (in red) are reported, instead of NO3- quantity.",api,True,findable,0,0,0,0,1,2024-06-25T09:32:03.000Z,2024-06-25T09:32:03.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],
+10.57745/sqmqp1,Survey data and visualisation script of the administrative burden of Galaxy small-scale admins,Recherche Data Gouv,2024,,Dataset,,"Main publication Poll report and form on HAL Authors The raw data was generated by the poll respondents The authors of this Dataset, excluding Vlad Visan, are such respondents. There are also other respondents who chose to remain anonymous The script was written by Vlad Visan The raw format was adapted to a numerical format by Vlad Visan Overall description A poll took place in February 2024, to understand the administrative burden of using Galaxy, specifically for small-scale admins. Context Useful to anyone considering using Galaxy Done as part of the technology monitoring phase of the ""Gestionnaire de workflows"" (Workflow Management System) project of the OSUG LabEx File descriptions raw_data_names_removed.tsv Raw poll answers. With any personally identifiable information redacted. SSA-Poll-19-Feb-2024-Filtered-Numerical.tab This numerically filtered format is required by the script The transformation could be done automatically in the future, but there are some subtleties: ""-1"" denotes ""ignore/invalid"" Some empty answers have to manually be converted to ""0"" I manually changed one answer that was ""0"" to ""-1"" after reading the associated comment which made it clear that ""invalid"" was more appropriate numericalCsvImportAndGenerateCharts.R The script parses the data, and creates one distribution/histogram graph per column It expects a filtered version, with only the numerical fields. Form-V2.pdf Survey questions, with several errors corrected: End-user assistance questions were worded wrongly Various spelling/wording mistakes",mds,True,findable,3,0,0,0,0,2024-05-21T14:06:25.000Z,2024-06-28T13:34:00.000Z,rdg.prod,rdg,,,,,,,"['HasPart', 'HasPart', 'HasPart', 'HasPart']",
+10.5281/zenodo.7728982,NH4_method_in_low_concentrated_environment-size_correction_and_calibration_scripts,Zenodo,2023,,Software,Creative Commons Attribution 4.0 International,Scripts used for size correction and calibration of NH4 samples,mds,True,findable,0,0,0,0,0,2023-03-13T13:38:23.000Z,2023-03-13T13:38:23.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.7728982']]"
+10.6084/m9.figshare.26122626,Additional file 1 of Impact of intensive prone position therapy on outcomes in intubated patients with ARDS related to COVID-19,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Additional information about the baseline characteristics and the statistical analysis. Additional Tables and Figures. Figure 1. Timeline and study period considered after ICU admission. Table 1. Proportion of missing data for each variable included in the analysis. Figure 2. Distribution of cumulative duration of prone positioning during the first 48 h after ICU admission. Figure 3. Evolution of the PaO2/FiO2 ratio during the first 28-days according to the prone strategy. Figure 4. Evolution of the static compliance during the first 28-days according to the prone strategy. Figure 5. Evolution of the SOFA score during the first 28-days according to the prone strategy. Table 2a. Estimated hazard ratio from a multivariate Cox model including day-60 survival associated with multiple variables in both the multiple imputation and complete case populations. b. Estimated hazard ratio from a multivariate Cox model including day-28 survival associated with multiple variables in both the multiple imputation and complete case populations. c. Estimated hazard ratio from a multivariate Cox model including day-90 survival associated with multiple variables in both the multiple imputation and complete case populations. Table 3. Estimated hazard ratio of the day-60 survival associated with the prone therapy strategy according to the prone position therapy strategy and the PaO2/FiO2 ratio at ICU admission before and after weighting in both multiple imputation and complete case population. Figure 6. Flow chart study included all ICU patients experiencing prone therapy during ICU stay. Table 4. Estimated hazard ratio of the day-60 survival associated with the prone therapy strategy including all patients experiencing prone therapy during ICU stay before and after weighting in both multiple imputation and complete case population. Figure 7a. Kaplan Meier curves according to prone therapy strategy including all patients experiencing prone therapy during ICU stay before weighting adjustment in complete case population. b. Kaplan Meier curves according to prone therapy strategy including all patients experiencing prone therapy during ICU stay after weighting adjustment in complete case population.,mds,True,findable,0,0,33,0,0,2024-06-28T04:01:14.000Z,2024-06-28T04:01:15.000Z,figshare.ars,otjm,"Medicine,Physiology,FOS: Biological sciences,Sociology,FOS: Sociology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': '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': 'Developmental Biology'}, {'subject': 'Science Policy'}]",['882103 Bytes'],,,,"['References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References', 'References']",