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 828b01e3251146807622e3974d3f71ac5a4374a6..5c4185fe82f2dce0e898f618e194247ebb7f004f 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,759,Zenodo,2013,https://zenodo.org/
-inist.sshade,484,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
-figshare.ars,352,figshare Academic Research System,2016,http://figshare.com/
+cern.zenodo,760,Zenodo,2013,https://zenodo.org/
+inist.sshade,487,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
+figshare.ars,356,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,162,DRYAD,2018,https://datadryad.org
 inist.resif,92,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
-inist.humanum,59,NAKALA,2020,https://nakala.fr
+rdg.prod,61,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
 inist.persyval,59,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
-rdg.prod,58,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
+inist.humanum,59,NAKALA,2020,https://nakala.fr
 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 91ab686292092b1872ef9741ea8cb5a0227244df..65c813b04f4a9463774493d89b47dd30ea782bea 100644
--- a/1-enrich-with-datacite/nb-dois.txt
+++ b/1-enrich-with-datacite/nb-dois.txt
@@ -1 +1 @@
-2350
\ No newline at end of file
+2361
\ 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 4b6003aac7ff1890e03eb6ff673144d9a7cc7eb9..8607f40351684a6cc12b2265b7cdcf386a7f8ef2 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-last-datasets-by-client.png b/2-produce-graph/hist-last-datasets-by-client.png
index 8fd710c775037ed6edaba995d440c6f541460f68..a2a873e0ac8b68a22fae803c23ead2bd4ffe896f 100644
Binary files a/2-produce-graph/hist-last-datasets-by-client.png and b/2-produce-graph/hist-last-datasets-by-client.png differ
diff --git a/2-produce-graph/hist-quantity-year-type.png b/2-produce-graph/hist-quantity-year-type.png
index 463b6a5bddaf1b3862dc5f5338ded300d623af8a..29fd8fc272236a34f30c516df96d91dd854a7e23 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 b0b5b7532031901bba54370abed652c6dc589092..2af35e9f29ea54d38479340d4a7b12ae74bee740 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 e23e3a9e277399397ffa3f2113e4f0581e2d05c6..c46adffdc05249bc3009c4e8259c7b1b7dbace0d 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--last-500.csv b/dois-uga--last-500.csv
index bab2412d925210603c6f52b282fe880ecea8a216..89ce36839aae9c5f8a36fcaccbd823f4621a3722 100644
--- a/dois-uga--last-500.csv
+++ b/dois-uga--last-500.csv
@@ -1,4 +1,12 @@
 doi,client,resourceTypeGeneral,created,publisher,rights,sizes
+10.26302/sshade/experiment_op_20050205_001,inist.sshade,Dataset,2024-09-13,SSHADE/FAME (OSUG Data Center),"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",['1 spectrum']
+10.26302/sshade/experiment_op_20170206_001,inist.sshade,Dataset,2024-09-13,SSHADE/FAME (OSUG Data Center),"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",['1 spectrum']
+10.6084/m9.figshare.c.7447186,figshare.ars,Collection,2024-09-13,figshare,Creative Commons Attribution 4.0 International,
+10.6084/m9.figshare.27012151,figshare.ars,Text,2024-09-13,figshare,Creative Commons Attribution 4.0 International,['450818 Bytes']
+10.5281/zenodo.13748961,cern.zenodo,Text,2024-09-11,Zenodo,"Creative Commons Attribution 4.0 International,Creative Commons Attribution Share Alike 4.0 International",
+10.6084/m9.figshare.26985715,figshare.ars,Text,2024-09-11,figshare,Creative Commons Attribution 4.0 International,['25284 Bytes']
+10.6084/m9.figshare.c.6585842,figshare.ars,Collection,2024-09-11,figshare,Creative Commons Attribution 4.0 International,
+10.26302/sshade/experiment_zed_20240701_01,inist.sshade,Dataset,2024-09-11,SSHADE/DAYSY (OSUG Data Center),"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",['14 spectra']
 10.5281/zenodo.11108225,cern.zenodo,Dataset,2024-09-08,Zenodo,Creative Commons Attribution 4.0 International,
 10.26302/sshade/experiment_lb_20240830_002,inist.sshade,Dataset,2024-09-05,SSHADE/GhoSST (OSUG Data Center),"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",['2 spectra']
 10.26302/sshade/experiment_lb_20240830_001,inist.sshade,Dataset,2024-09-05,SSHADE/GhoSST (OSUG Data Center),"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",['2 spectra']
@@ -98,8 +106,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.6084/m9.figshare.26635410,figshare.ars,Text,2024-08-14,figshare,Creative Commons Attribution 4.0 International,['39961 Bytes']
 10.6084/m9.figshare.c.6905671,figshare.ars,Collection,2024-08-14,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.26633925,figshare.ars,Text,2024-08-14,figshare,Creative Commons Attribution 4.0 International,['557382 Bytes']
-10.6084/m9.figshare.c.6889784,figshare.ars,Collection,2024-08-14,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.26629135,figshare.ars,Text,2024-08-14,figshare,Creative Commons Attribution 4.0 International,['792543 Bytes']
+10.6084/m9.figshare.c.6889784,figshare.ars,Collection,2024-08-14,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.c.6880688,figshare.ars,Collection,2024-08-14,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.26626966,figshare.ars,Text,2024-08-14,figshare,Creative Commons Attribution 4.0 International,['4519412 Bytes']
 10.6084/m9.figshare.c.6683920,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
@@ -113,10 +121,10 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.6084/m9.figshare.26585829,figshare.ars,Text,2024-08-13,figshare,Creative Commons Attribution 4.0 International,['279842 Bytes']
 10.6084/m9.figshare.26585826,figshare.ars,Text,2024-08-13,figshare,Creative Commons Attribution 4.0 International,['105007 Bytes']
 10.6084/m9.figshare.26585823,figshare.ars,Text,2024-08-13,figshare,Creative Commons Attribution 4.0 International,['11099 Bytes']
-10.6084/m9.figshare.c.6596504,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.26577821,figshare.ars,Dataset,2024-08-13,figshare,Creative Commons Attribution 4.0 International,['56397 Bytes']
-10.6084/m9.figshare.c.6586928,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
+10.6084/m9.figshare.c.6596504,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.26567603,figshare.ars,Text,2024-08-13,figshare,Creative Commons Attribution 4.0 International,['360541 Bytes']
+10.6084/m9.figshare.c.6586928,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
 10.15778/resif.z42022,inist.resif,Dataset,2024-08-12,RESIF - Réseau Sismologique et géodésique Français,,"['98 stations, 280Go (miniseed format)']"
 10.12686/eshm20-output,ethz.sed,Dataset,2024-08-12,EFEHR (European Facilities of Earthquake Hazard and Risk),Creative Commons Attribution 4.0 International,['529MB']
 10.5281/zenodo.7447726,cern.zenodo,Dataset,2024-08-12,Zenodo,Creative Commons Attribution 4.0 International,
@@ -130,8 +138,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.5281/zenodo.13234729,cern.zenodo,Text,2024-08-06,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.13194009,cern.zenodo,Image,2024-08-03,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.13194007,cern.zenodo,Image,2024-08-03,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.13189234,cern.zenodo,Image,2024-08-03,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.13189238,cern.zenodo,Image,2024-08-03,Zenodo,Creative Commons Attribution 4.0 International,
+10.5281/zenodo.13189234,cern.zenodo,Image,2024-08-03,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.13189236,cern.zenodo,Image,2024-08-03,Zenodo,Creative Commons Attribution 4.0 International,
 10.5061/dryad.wdbrv15xr,dryad.dryad,Dataset,2024-08-02,Dryad,Creative Commons Zero v1.0 Universal,['482590 bytes']
 10.5281/zenodo.13164857,cern.zenodo,Dataset,2024-08-02,Zenodo,Creative Commons Attribution 4.0 International,
@@ -320,8 +328,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.60527/aa32-v231,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
 10.60527/evrp-sc36,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
 10.60527/t65m-5h40,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
-10.60527/kr45-gv91,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
 10.60527/nnhk-n811,fmsh.prod,Other,2024-03-06,"Univ. Grenoble Alpes, GRESEC",,
+10.60527/kr45-gv91,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
 10.60527/kzta-f520,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
 10.60527/gx2t-a525,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
 10.60527/67kz-8s19,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
@@ -380,8 +388,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.57745/krycyy,rdg.prod,Dataset,2024-01-29,Recherche Data Gouv,,
 10.5281/zenodo.10578348,cern.zenodo,Software,2024-01-28,Zenodo,GNU General Public License v3.0 or later,
 10.5281/zenodo.10577878,cern.zenodo,Software,2024-01-28,Zenodo,Creative Commons Attribution 4.0 International,
-10.6084/m9.figshare.c.7046484,figshare.ars,Collection,2024-01-28,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.25097340,figshare.ars,Text,2024-01-28,figshare,Creative Commons Attribution 4.0 International,['302967 Bytes']
+10.6084/m9.figshare.c.7046484,figshare.ars,Collection,2024-01-28,figshare,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.10575610,cern.zenodo,Dataset,2024-01-27,Zenodo,Creative Commons Attribution 4.0 International,
 10.57745/rjx9xh,rdg.prod,Dataset,2024-01-26,Recherche Data Gouv,,
 10.5281/zenodo.10551644,cern.zenodo,Dataset,2024-01-22,Zenodo,Creative Commons Attribution 4.0 International,
@@ -529,11 +537,3 @@ This research has made use of spectroscopic and collisional data from the EMAA d
 10.5281/zenodo.10207346,cern.zenodo,Other,2023-11-26,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.10205605,cern.zenodo,Text,2023-11-25,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.7462440,cern.zenodo,Dataset,2023-11-24,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10204742,cern.zenodo,Dataset,2023-11-24,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10199623,cern.zenodo,Dataset,2023-11-23,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10165853,cern.zenodo,Dataset,2023-11-21,Zenodo,Creative Commons Attribution 4.0 International,
-10.57745/69unam,rdg.prod,Dataset,2023-11-20,Recherche Data Gouv,,
-10.5281/zenodo.7351820,cern.zenodo,Dataset,2023-11-16,Zenodo,Creative Commons Attribution 4.0 International,
-10.17632/s62jkk3fkt,bl.mendeley,Dataset,2023-11-16,Mendeley Data,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.8140117,cern.zenodo,Dataset,2023-11-15,Zenodo,Creative Commons Attribution Non Commercial 2.0 Generic,
-10.5281/zenodo.10117555,cern.zenodo,Dataset,2023-11-13,Zenodo,Creative Commons Attribution Share Alike 4.0 International,
diff --git a/dois-uga.csv b/dois-uga.csv
index 961f112c39ab267a082ef0bc45da94612229124a..e427d72147094ef1f59093248c291aea74085de6 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -10836,3 +10836,18 @@ This dataset includes:
 10.5281/zenodo.13471041,"Sentinel-1 interferograms and weather-based tropospheric delays maps (ERA5, GACOS) for two volcanoes: Piton de la Fournaise and Merapi",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"InSAR Sentinel-1 dataset and weather-based models used in the paper ""Benefits of GNSS local observations compared to global weather-based models for InSAR tropospheric corrections over tropical volcanoes: case studies of Piton de la Fournaise and Merapi"" by Albino et al. (2024).
 
 The two zip files are associated with the two targets: REUNION_ISLAND and MERAPI. The directories ""ERA5"" and ""GACOS"" contain the GACOS and ERA5 tropospheric delay maps per epoch in geotiff format, respectively. The directory ""INTERFEROGRAM"" contains the unwrapped interferograms in geotiff format. The ""AUX"" directory contains the DEM and incidence angle in geotiff format.",api,True,findable,0,0,0,0,1,2024-08-29T11:46:57.000Z,2024-08-29T11:46:58.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],
+10.6084/m9.figshare.c.6585842,Training curriculum in minimally invasive emergency digestive surgery: 2022 WSES position paper,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background Minimally invasive surgery (MIS), including laparoscopic and robotic approaches, is widely adopted in elective digestive surgery, but selectively used for surgical emergencies. The present position paper summarizes the available evidence concerning the learning curve to achieve proficiency in emergency MIS and provides five expert opinion statements, which may form the basis for developing standardized curricula and training programs in emergency MIS. Methods This position paper was conducted according to the World Society of Emergency Surgery methodology. A steering committee and an international expert panel were involved in the critical appraisal of the literature and the development of the consensus statements. Results Thirteen studies regarding the learning curve in emergency MIS were selected. All but one study considered laparoscopic appendectomy. Only one study reported on emergency robotic surgery. In most of the studies, proficiency was achieved after an average of 30 procedures (range: 20–107) depending on the initial surgeon’s experience. High heterogeneity was noted in the way the learning curve was assessed. The experts claim that further studies investigating learning curve processes in emergency MIS are needed. The emergency surgeon curriculum should include a progressive and adequate training based on simulation, supervised clinical practice (proctoring), and surgical fellowships. The results should be evaluated by adopting a credentialing system to ensure quality standards. Surgical proficiency should be maintained with a minimum caseload and constantly evaluated. Moreover, the training process should involve the entire surgical team to facilitate the surgeon’s proficiency. Conclusions Limited evidence exists concerning the learning process in laparoscopic and robotic emergency surgery. The proposed statements should be seen as a preliminary guide for the surgical community while stressing the need for further research.",mds,True,findable,0,0,0,0,0,2024-09-11T12:42:42.000Z,2024-09-11T12:42:43.000Z,figshare.ars,otjm,"Space Science,Medicine,Biotechnology,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,,,,,
+10.5281/zenodo.13748961,Les plateformes de glace,Zenodo,2024,fr,Text,"Creative Commons Attribution 4.0 International,Creative Commons Attribution Share Alike 4.0 International","Texte de Nicolas Jourdain sur l'histoire de la découverte humaine et scientifique des grandes plateformes de glace.
+
+ 
+
+Une version anglaise de ce texte a été évaluée par Masa Kageyama, Eric Steig, Stephen Rintoul et Frank Pattyn dans le cadre de l’Habilitation à Diriger des Recherches de l’auteur (Juin 2024). Une version partielle et condensée de ce texte a été soumise à La Météorologie et éditée par Serge Soula.",api,True,findable,0,0,0,0,0,2024-09-11T15:01:48.000Z,2024-09-11T15:01:49.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.13748961']]"
+10.26302/sshade/experiment_zed_20240701_01,MIR spectra of carbonaceous chondrites irradiated by $He^+$ ions,SSHADE/DAYSY (OSUG Data Center),2024,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.","Mid-IR spectra of carbonaceous chondrite pellets and chips: unirradiated area and area irradiated by $He^+$ ions at 4, 15, 20 and 40 keV and a total fluence of $6.10^{16} ions.cm{-2}$.",mds,True,findable,0,0,0,0,0,2024-09-11T10:00:08.000Z,2024-09-11T10:00:09.000Z,inist.sshade,mgeg,"laboratory measurement,confocal reflection,micro-imaging,MIR,Mid-Infrared,normalized reflectance,matrix QUE97990,chondrules QUE97990,CAIs QUE97990,matrix EET92159,chondrules EET92159,CAIs EET92159,matrix MET01070,chondrules MET01070,CAIs MET01070,matrix NWA5515,chondrules NWA5515,CAIs NWA5515,matrix MET00639,chondrules MET00639,CAIs MET00639,matrix Y980115,chondrules Y980115,CAIs Y980115,extraterrestrial,complex organic-mineral mix,complex mineral mix,carbonaceous chondrite,CM,CR,CK,CI","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'confocal reflection', 'subjectScheme': 'main'}, {'subject': 'micro-imaging', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'normalized reflectance', 'subjectScheme': 'variables'}, {'subject': 'matrix QUE97990', 'subjectScheme': 'name'}, {'subject': 'chondrules QUE97990', 'subjectScheme': 'name'}, {'subject': 'CAIs QUE97990', 'subjectScheme': 'name'}, {'subject': 'matrix EET92159', 'subjectScheme': 'name'}, {'subject': 'chondrules EET92159', 'subjectScheme': 'name'}, {'subject': 'CAIs EET92159', 'subjectScheme': 'name'}, {'subject': 'matrix MET01070', 'subjectScheme': 'name'}, {'subject': 'chondrules MET01070', 'subjectScheme': 'name'}, {'subject': 'CAIs MET01070', 'subjectScheme': 'name'}, {'subject': 'matrix NWA5515', 'subjectScheme': 'name'}, {'subject': 'chondrules NWA5515', 'subjectScheme': 'name'}, {'subject': 'CAIs NWA5515', 'subjectScheme': 'name'}, {'subject': 'matrix MET00639', 'subjectScheme': 'name'}, {'subject': 'chondrules MET00639', 'subjectScheme': 'name'}, {'subject': 'CAIs MET00639', 'subjectScheme': 'name'}, {'subject': 'matrix Y980115', 'subjectScheme': 'name'}, {'subject': 'chondrules Y980115', 'subjectScheme': 'name'}, {'subject': 'CAIs Y980115', 'subjectScheme': 'name'}, {'subject': 'extraterrestrial', 'subjectScheme': 'family'}, {'subject': 'complex organic-mineral mix', 'subjectScheme': 'compound type'}, {'subject': 'complex mineral mix', 'subjectScheme': 'compound type'}, {'subject': 'carbonaceous chondrite', 'subjectScheme': 'meteorite group'}, {'subject': 'CM', 'subjectScheme': 'meteorite class'}, {'subject': 'CR', 'subjectScheme': 'meteorite class'}, {'subject': 'CK', 'subjectScheme': 'meteorite class'}, {'subject': 'CI', 'subjectScheme': 'meteorite class'}]",['14 spectra'],['ASCII'],,,"['IsPartOf', 'IsPartOf']",
+10.6084/m9.figshare.26985715,Additional file 1 of Training curriculum in minimally invasive emergency digestive surgery: 2022 WSES position paper,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Additional file1 (DOCX 25 KB),mds,True,findable,0,0,0,1,0,2024-09-11T12:42:42.000Z,2024-09-11T12:42:43.000Z,figshare.ars,otjm,"Space Science,Medicine,Biotechnology,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'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)'}]",['25284 Bytes'],,,,['IsSupplementTo'],
+10.6084/m9.figshare.27012151,Additional file 1 of Should AI models be explainable to clinicians?,figshare,2024,,Text,Creative Commons Attribution 4.0 International,"Additional file 1: Fig. S1. This document provides a comprehensive overview of explainable artificial intelligence (XAI), detailing definitions, the difference between explainability and interpretability, and the classification of explanations as global or local. It includes a taxonomy of XAI methods. Fig. S2. It also addresses the balance between model complexity and the necessity for explainability in healthcare.",mds,True,findable,0,0,30,1,0,2024-09-13T03:37:36.000Z,2024-09-13T03:37:37.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology,Cancer,Science Policy,Hematology","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['450818 Bytes'],,,,"['IsIdenticalTo', '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', 'IsSupplementTo']","[['IsIdenticalTo', '10.6084/m9.figshare.27012151']]"
+10.26302/sshade/experiment_op_20050205_001,Zn K edge XAS fluorescence of ZnBr2 salt in water at 300K and 300bar,SSHADE/FAME (OSUG Data Center),2024,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2024-09-13T12:42:44.000Z,2024-09-13T12:42:44.000Z,inist.sshade,mgeg,"laboratory measurement,fluorescence emission,None,hard X,hard X-rays,ZnBr2 salt (0.017M) in water,laboratory,liquid solution","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'fluorescence emission', 'subjectScheme': 'main'}, {'subject': 'None', 'subjectScheme': 'main'}, {'subject': 'hard X', 'subjectScheme': 'variables'}, {'subject': 'hard X-rays', 'subjectScheme': 'variables'}, {'subject': 'ZnBr2 salt (0.017M) in water', 'subjectScheme': 'name'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'liquid solution', 'subjectScheme': 'compound type'}]",['1 spectrum'],['ASCII'],,,"['IsPartOf', 'IsPartOf']",
+10.6084/m9.figshare.c.7447186,Should AI models be explainable to clinicians?,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract In the high-stakes realm of critical care, where daily decisions are crucial and clear communication is paramount, comprehending the rationale behind Artificial Intelligence (AI)-driven decisions appears essential. While AI has the potential to improve decision-making, its complexity can hinder comprehension and adherence to its recommendations. “Explainable AI” (XAI) aims to bridge this gap, enhancing confidence among patients and doctors. It also helps to meet regulatory transparency requirements, offers actionable insights, and promotes fairness and safety. Yet, defining explainability and standardising assessments are ongoing challenges and balancing performance and explainability can be needed, even if XAI is a growing field.",mds,True,findable,0,0,0,0,0,2024-09-13T03:37:36.000Z,2024-09-13T03:37:37.000Z,figshare.ars,otjm,"Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Developmental Biology,Cancer,Science Policy,Hematology","[{'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Developmental Biology'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",,,,,,
+10.57745/nzfwp9,"Data supporting the article ""In-situ study of microstructures induced by the olivine to wadsleyite transformation at conditions of the 410 km depth discontinuity"" by Ledoux et al.",Recherche Data Gouv,2023,,Dataset,,"We provide here the data supporting our article entitled ""In-situ study of microstructures induced by the olivine to wadsleyite transformation at conditions of the 410 km depth discontinuity"". Raw diffraction images as well as files needed to process the data are given for the four datasets we present in the paper.",mds,True,findable,85,0,0,0,0,2023-01-23T17:42:35.000Z,2023-05-02T17:57:29.000Z,rdg.prod,rdg,,,,,,,"['HasPart', 'HasPart']",
+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,744,186,0,0,0,2022-04-14T12:30:30.000Z,2022-04-14T14:49:54.000Z,rdg.prod,rdg,,,,,,,"['HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart']",
+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,127,11,0,1,0,2023-04-17T15:55:54.000Z,2023-10-22T15:05:39.000Z,rdg.prod,rdg,,,,,,,"['HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart']",
+10.26302/sshade/experiment_op_20170206_001,Se K edge XAS fluorescence of Se(0) reference,SSHADE/FAME (OSUG Data Center),2024,en,Dataset,"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",,mds,True,findable,0,0,0,0,0,2024-09-13T12:41:49.000Z,2024-09-13T12:41:50.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,None,hard X,hard X-rays,metallic Se,commercial,elemental solid","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'transmission', 'subjectScheme': 'main'}, {'subject': 'None', 'subjectScheme': 'main'}, {'subject': 'hard X', 'subjectScheme': 'variables'}, {'subject': 'hard X-rays', 'subjectScheme': 'variables'}, {'subject': 'metallic Se', 'subjectScheme': 'name'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'elemental solid', 'subjectScheme': 'compound type'}]",['1 spectrum'],['ASCII'],,,"['IsPartOf', 'IsPartOf']",