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 735c359c13727460c9f40991c5d324197d4f7099..831c67ead6b1d45dea85af9080755a77f278235b 100644
--- a/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
+++ b/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
@@ -1,11 +1,11 @@
 client,count,name,year,url
-cern.zenodo,823,Zenodo,2013,https://zenodo.org/
-inist.sshade,498,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
-figshare.ars,366,figshare Academic Research System,2016,http://figshare.com/
+cern.zenodo,828,Zenodo,2013,https://zenodo.org/
+inist.sshade,501,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
+figshare.ars,368,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,167,DRYAD,2018,https://datadryad.org
 inist.resif,93,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
-rdg.prod,74,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
+rdg.prod,77,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
 inist.humanum,69,NAKALA,2020,https://nakala.fr
 inist.persyval,62,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
 fmsh.prod,28,Fondation Maison des sciences de l'homme,2023,
diff --git a/1-enrich-with-datacite/nb-dois.txt b/1-enrich-with-datacite/nb-dois.txt
index 04061722b3963e17453d6fcdcaf27294e2f3ba07..c223971b0a6ef5ac0b7f09b2f2e31d9119813ec0 100644
--- a/1-enrich-with-datacite/nb-dois.txt
+++ b/1-enrich-with-datacite/nb-dois.txt
@@ -1 +1 @@
-2523
\ No newline at end of file
+2536
\ 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 86ca2eaca839e25cfeb6bf66ab05412318aa795e..9a9f306dd3c8cefec5a16fcc13d78aa8ae9cd32a 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 18504117dcff2ab658f2d625cae6b046b8395cab..926c8307c164f0ec2fd35cd01117ff898439229d 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 ea6ba7f2faf57704bee958d0202fbc23cb411331..6a39432305b80827de685fe4d0b0266de0b9f6a2 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 41ff9bec72d39d91c845f31195a85352a8ea2e50..8f5f27c96e4486ee43d85bcf04b95615c27fc4da 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 3b7046901d14be528906716d9b68215d247cbdcc..dc4d2be6080f248aa3c7576a82f3f092e3c495ad 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 e2c7e842f8711311a331876e6daf08480c5b7f5e..ce7992fc1094b455e8ee7c53e862195ac15c1fd9 100644
--- a/dois-uga--last-500.csv
+++ b/dois-uga--last-500.csv
@@ -1,6 +1,17 @@
 doi,client,resourceTypeGeneral,created,publisher,rights,sizes
+10.26302/sshade/experiment_jb_20090211_001,inist.sshade,Dataset,2024-12-20,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.",['6 spectra']
+10.26302/sshade/experiment_pg_20100623_001,inist.sshade,Dataset,2024-12-20,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.",['4 spectra']
+10.5281/zenodo.14527715,cern.zenodo,Text,2024-12-19,Zenodo,Creative Commons Attribution 4.0 International,
+10.5281/zenodo.14527557,cern.zenodo,Dataset,2024-12-19,Zenodo,Creative Commons Attribution 4.0 International,
+10.6084/m9.figshare.28058712,figshare.ars,Text,2024-12-19,figshare,Creative Commons Attribution 4.0 International,['1211266 Bytes']
+10.6084/m9.figshare.c.7591311,figshare.ars,Collection,2024-12-19,figshare,Creative Commons Attribution 4.0 International,
+10.26302/sshade/experiment_pc_20060304_001,inist.sshade,Dataset,2024-12-18,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.",['6 spectra']
+10.5281/zenodo.14508391,cern.zenodo,Software,2024-12-17,Zenodo,Creative Commons Attribution 4.0 International,
+10.5281/zenodo.14501398,cern.zenodo,Dataset,2024-12-16,Zenodo,Creative Commons Attribution 4.0 International,
+10.5281/zenodo.14499308,cern.zenodo,Dataset,2024-12-16,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.14167823,cern.zenodo,Other,2024-12-13,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.14410833,cern.zenodo,Dataset,2024-12-12,Zenodo,Creative Commons Attribution 4.0 International,
+10.57745/exo0jy,rdg.prod,Dataset,2024-12-11,Recherche Data Gouv,,
 10.1594/pangaea.971995,pangaea.repository,Dataset,2024-12-11,PANGAEA,Creative Commons Attribution 4.0 International,['19211 data points']
 10.1594/pangaea.971993,pangaea.repository,Dataset,2024-12-11,PANGAEA,Creative Commons Attribution 4.0 International,['16415 data points']
 10.1594/pangaea.971990,pangaea.repository,Dataset,2024-12-11,PANGAEA,Creative Commons Attribution 4.0 International,['14951 data points']
@@ -24,6 +35,7 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.34847/nkl.1ff54w66,inist.humanum,Text,2024-12-03,NAKALA - https://nakala.fr (Huma-Num - CNRS),Etalab Open License 2.0,['92721 bytes']
 10.34847/nkl.71a7sj7h,inist.humanum,Text,2024-12-03,NAKALA - https://nakala.fr (Huma-Num - CNRS),Etalab Open License 2.0,['46159 bytes']
 10.5281/zenodo.14262713,cern.zenodo,Dataset,2024-12-03,Zenodo,Creative Commons Attribution 4.0 International,
+10.57745/ojbtse,rdg.prod,Dataset,2024-12-02,Recherche Data Gouv,,
 10.34927/ccj.epi.401,inist.ccj,Collection,2024-11-29,Centre Camille Jullian,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,
 10.34927/ccj.epi.399,inist.ccj,Collection,2024-11-29,Centre Camille Jullian,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,
 10.5281/zenodo.14202764,cern.zenodo,Dataset,2024-11-28,Zenodo,Creative Commons Attribution 4.0 International,
@@ -65,6 +77,7 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.5281/zenodo.14038923,cern.zenodo,Dataset,2024-11-05,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.14036125,cern.zenodo,Software,2024-11-04,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.14035431,cern.zenodo,Dataset,2024-11-04,Zenodo,Creative Commons Attribution 4.0 International,
+10.57745/ylciph,rdg.prod,Dataset,2024-11-04,Recherche Data Gouv,,
 10.57760/sciencedb.16149,cnic.sciencedb,Dataset,2024-11-04,Science Data Bank,Creative Commons Attribution Non Commercial 4.0 International,"['2433253276 bytes', '4 files']"
 10.5281/zenodo.14003384,cern.zenodo,Dataset,2024-11-01,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.14016979,cern.zenodo,Other,2024-10-31,Zenodo,Creative Commons Attribution 4.0 International,
@@ -125,11 +138,11 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.5281/zenodo.13785330,cern.zenodo,Dataset,2024-09-18,Zenodo,Creative Commons Attribution 4.0 International,
 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']
+10.6084/m9.figshare.c.7447186,figshare.ars,Collection,2024-09-13,figshare,Creative Commons Attribution 4.0 International,
 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,
+10.6084/m9.figshare.26985715,figshare.ars,Text,2024-09-11,figshare,Creative Commons Attribution 4.0 International,['25284 Bytes']
 10.5281/zenodo.13745070,cern.zenodo,Dataset,2024-09-11,Zenodo,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,
@@ -172,8 +185,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.57760/sciencedb.11705,cnic.sciencedb,Dataset,2024-08-15,Science Data Bank,Creative Commons Attribution Non Commercial Share Alike 4.0 International,"['99398887984 bytes', '14 files']"
 10.6084/m9.figshare.26722614,figshare.ars,Text,2024-08-15,figshare,Creative Commons Attribution 4.0 International,['12341 Bytes']
 10.6084/m9.figshare.25854698,figshare.ars,Image,2024-08-15,figshare,Creative Commons Attribution 4.0 International,['464136 Bytes']
-10.6084/m9.figshare.c.7204785,figshare.ars,Collection,2024-08-15,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.26713777,figshare.ars,Dataset,2024-08-15,figshare,Creative Commons Attribution 4.0 International,['553168 Bytes']
+10.6084/m9.figshare.c.7204785,figshare.ars,Collection,2024-08-15,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.25711209,figshare.ars,Text,2024-08-15,figshare,Creative Commons Attribution 4.0 International,['33449 Bytes']
 10.6084/m9.figshare.c.7116481,figshare.ars,Collection,2024-08-15,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.26691925,figshare.ars,Text,2024-08-15,figshare,Creative Commons Attribution 4.0 International,['2061125 Bytes']
@@ -249,8 +262,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.6084/m9.figshare.26585823,figshare.ars,Text,2024-08-13,figshare,Creative Commons Attribution 4.0 International,['11099 Bytes']
 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.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,
+10.6084/m9.figshare.26567603,figshare.ars,Text,2024-08-13,figshare,Creative Commons Attribution 4.0 International,['360541 Bytes']
 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,
@@ -476,8 +489,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.60527/fpa9-1718,fmsh.prod,Other,2024-03-06,"Univ. Grenoble Alpes, GRESEC",,
 10.60527/zxn9-6b90,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
 10.5281/zenodo.10788911,cern.zenodo,Dataset,2024-03-06,Zenodo,Creative Commons Attribution 4.0 International,
-10.6084/m9.figshare.c.7105606,figshare.ars,Collection,2024-03-05,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.25341247,figshare.ars,Dataset,2024-03-05,figshare,Creative Commons Attribution 4.0 International,['29389796 Bytes']
+10.6084/m9.figshare.c.7105606,figshare.ars,Collection,2024-03-05,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.25329673,figshare.ars,Text,2024-03-02,figshare,Creative Commons Attribution 4.0 International,['15066 Bytes']
 10.6084/m9.figshare.c.7097182,figshare.ars,Collection,2024-02-29,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.25309966,figshare.ars,Text,2024-02-29,figshare,Creative Commons Attribution 4.0 International,['584702 Bytes']
@@ -486,16 +499,3 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.5281/zenodo.10718491,cern.zenodo,Image,2024-02-27,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.10715584,cern.zenodo,Software,2024-02-27,Zenodo,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.25284801,figshare.ars,Text,2024-02-25,figshare,Creative Commons Attribution 4.0 International,['58940 Bytes']
-10.6084/m9.figshare.c.7089974,figshare.ars,Collection,2024-02-24,figshare,Creative Commons Attribution 4.0 International,
-10.6084/m9.figshare.25282850,figshare.ars,Text,2024-02-24,figshare,Creative Commons Attribution 4.0 International,['14659 Bytes']
-10.5281/zenodo.8368903,cern.zenodo,Other,2024-02-23,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10695197,cern.zenodo,Software,2024-02-23,Zenodo,MIT License,
-10.5281/zenodo.10511344,cern.zenodo,ComputationalNotebook,2024-02-23,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10693937,cern.zenodo,Text,2024-02-22,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10634904,cern.zenodo,Software,2024-02-21,MATH+ Cluster of Excellence,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10688119,cern.zenodo,Dataset,2024-02-21,Zenodo,Creative Commons Attribution 4.0 International,
-10.26302/sshade/experiment_lb_20221017_001,inist.sshade,Dataset,2024-02-21,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.",['21 spectra']
-10.6084/m9.figshare.c.7081935,figshare.ars,Collection,2024-02-20,figshare,Creative Commons Attribution 4.0 International,
-10.6084/m9.figshare.25248759,figshare.ars,Text,2024-02-20,figshare,Creative Commons Attribution 4.0 International,['93615 Bytes']
-10.5281/zenodo.10679303,cern.zenodo,Dataset,2024-02-19,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10636065,cern.zenodo,Dataset,2024-02-16,Zenodo,Creative Commons Attribution 4.0 International,
diff --git a/dois-uga.csv b/dois-uga.csv
index fdd7883dbfe47ce59a74b9064e0264d9f3ef048d..ed2e114acedf304f1476b3f83c8b8c51793c2d5c 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -12107,3 +12107,26 @@ In this talk, we will state this motivic version of the Batyrev-Manin-Peyre conj
  combustion processes can effectively mitigate PM health exposure in
  Northern India.",mds,True,findable,0,1,0,1,0,2024-12-09T08:25:45.000Z,2024-12-09T08:25:46.000Z,dryad.dryad,dryad,"Oxidative Potential,Positive Matrix Factorization,Mass spectrometry,FOS: Earth and related environmental sciences,FOS: Earth and related environmental sciences","[{'subject': 'Oxidative Potential'}, {'subject': 'Positive Matrix Factorization'}, {'subject': 'Mass spectrometry', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'FOS: Earth and related environmental sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['12624044 bytes'],,,,['IsCitedBy'],
 10.1594/pangaea.971995,Magnetic data of sediment core MD03-2685,PANGAEA,2024,,Dataset,Creative Commons Attribution 4.0 International,"The low-field magnetic susceptibility was measured on u-channels using a 45 mm inner diameter Bartington coil.NRM, IRM and ARM were measured on u-channels using 755R DC-SQUIDS cryogenic magnetometers from 2G Enterprise and demagnetized with 12 steps.",mds,True,findable,0,0,1,0,0,2024-12-11T01:12:30.000Z,2024-12-11T01:12:30.000Z,pangaea.repository,pangaea,"Deep current intensity,magnetism,North Atlantic circulation,Event label,DEPTH, sediment/rock,AGE,Magnetic susceptibility, low-field,Anhysteretic remanent magnetization,Anhysteretic remanent magnetization/isothermal remanent magnetization ratio,Remanent magnetization, normalized/magnetic susceptibility, low-field, ratio,Remanent magnetization, normalized/anhysteretic remanent magnetization ratio,Remanent magnetization, normalized/isothermal remanent magnetization ratio,Principal component analysis inclination,Mean angular deviation,Geocentric axial dipole field inclination,Calypso Corer,Bartington MS2 magnetic susceptibility meter,Magnetometer [U-channel], 2G Enterprises, Model 755R,MD132,Marion Dufresne (1995)","[{'subject': 'Deep current intensity'}, {'subject': 'magnetism'}, {'subject': 'North Atlantic circulation'}, {'subject': 'Event label', 'subjectScheme': 'Parameter'}, {'subject': 'DEPTH, sediment/rock', 'subjectScheme': 'Parameter'}, {'subject': 'AGE', 'subjectScheme': 'Parameter'}, {'subject': 'Magnetic susceptibility, low-field', 'subjectScheme': 'Parameter'}, {'subject': 'Anhysteretic remanent magnetization', 'subjectScheme': 'Parameter'}, {'subject': 'Anhysteretic remanent magnetization/isothermal remanent magnetization ratio', 'subjectScheme': 'Parameter'}, {'subject': 'Remanent magnetization, normalized/magnetic susceptibility, low-field, ratio', 'subjectScheme': 'Parameter'}, {'subject': 'Remanent magnetization, normalized/anhysteretic remanent magnetization ratio', 'subjectScheme': 'Parameter'}, {'subject': 'Remanent magnetization, normalized/isothermal remanent magnetization ratio', 'subjectScheme': 'Parameter'}, {'subject': 'Principal component analysis inclination', 'subjectScheme': 'Parameter'}, {'subject': 'Mean angular deviation', 'subjectScheme': 'Parameter'}, {'subject': 'Geocentric axial dipole field inclination', 'subjectScheme': 'Parameter'}, {'subject': 'Calypso Corer', 'subjectScheme': 'Method'}, {'subject': 'Bartington MS2 magnetic susceptibility meter', 'subjectScheme': 'Method'}, {'subject': 'Magnetometer [U-channel], 2G Enterprises, Model 755R', 'subjectScheme': 'Method'}, {'subject': 'MD132', 'subjectScheme': 'Campaign'}, {'subject': 'Marion Dufresne (1995)', 'subjectScheme': 'Basis'}]",['19211 data points'],['text/tab-separated-values'],,,"['IsPartOf', 'References']",
+10.5281/zenodo.14501398,Rock Glacier Inventories (RoGI) in 12 areas worldwide using a multi-operator consensus-based procedure,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"The Rock Glacier Inventories and Kinematics community (RGIK) has defined standards for generating Rock Glacier Inventories (RoGI). In the framework of the European Space Agency Climate Change Initiative for Permafrost (ESA CCI Permafrost), we set up a multi-operator mapping exercise in 12 areas around the World. Each RoGI team was composed of five to ten operators, involving 41 persons in total. Each operator performed similar steps following the RGIK guidelines and using a similar QGIS tool. The individual results were compared and combined after common meetings to agree on the final consensus-based solutions. In total, 337 “certain” rock glaciers have been identified and characterised, and 222 additional landforms have been identified as “uncertain” rock glaciers.The dataset consists of three GeoPackage files for each area: 1) the Primary Markers (PM) locating and characterising the identified Rock Glacier Units (RGU), 2) the Moving Areas (MA) delineating areas with surface movement associated with the rock glacier creep, based on spaceborne Interferometric Synthetic Aperture Radar (InSAR), and 3) the Geomorphological Outlines (GO) delineating the restricted and extended RGU boundaries. Here we describe the content, structure, and naming convention of the final PM/MA/GO dataset. The RoGI guidelines, the GeoPackage (gpkg) templates for performing similar RoGI in other areas, and exercises based on the QGIS tool are available on the RGIK website.
+
+Funding: The initiative is funded by the European Space Agency Permafrost Climate Change Initiative (ESA CCI Permafrost, contract 4000123681/18/I-NB). The work of the Rock Glacier Inventories and Kinematics (RGIK) community has been supported by the International Permafrost Association (IPA), GCOS Switzerland, and SwissUniversities.",api,True,findable,0,0,0,0,0,2024-12-16T16:02:19.000Z,2024-12-16T16:02:19.000Z,cern.zenodo,cern,"Geomorphology,Mountain,Permafrost,Rock Glacier,GIS,Remote Sensing","[{'subject': 'Geomorphology'}, {'subject': 'Mountain'}, {'subject': 'Permafrost'}, {'subject': 'Rock Glacier'}, {'subject': 'GIS'}, {'subject': 'Remote Sensing'}]",,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.14501398']]"
+10.26302/sshade/experiment_pc_20060304_001,V K edge XAS fluorescence of V K edge XAS at 300K of V oxydes,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,0,0,1,0,0,2024-12-18T15:41:35.000Z,2024-12-18T15:41:36.000Z,inist.sshade,mgeg,"laboratory measurement,fluorescence emission,None,hard X,hard X-rays,BN powder,Coulsonite FeV2O4,V2O4,Cavansite – Ca(VO)Si4O104·H2O,V2O5,Na3VO4,Vanadinite - Pb5(VO4)3Cl,solid,commercial,natural terrestrial,non-oxide ceramic,oxide,phyllosilicate,vanadate","[{'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': 'BN powder', 'subjectScheme': 'name'}, {'subject': 'Coulsonite FeV2O4', 'subjectScheme': 'name'}, {'subject': 'V2O4', 'subjectScheme': 'name'}, {'subject': 'Cavansite – Ca(VO)Si4O104·H2O', 'subjectScheme': 'name'}, {'subject': 'V2O5', 'subjectScheme': 'name'}, {'subject': 'Na3VO4', 'subjectScheme': 'name'}, {'subject': 'Vanadinite - Pb5(VO4)3Cl', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'non-oxide ceramic', 'subjectScheme': 'compound type'}, {'subject': 'oxide', 'subjectScheme': 'compound type'}, {'subject': 'phyllosilicate', 'subjectScheme': 'compound type'}, {'subject': 'vanadate', 'subjectScheme': 'compound type'}]",['6 spectra'],['ASCII'],,,"['IsPartOf', 'IsPartOf', 'IsSourceOf', 'Cites', 'IsSourceOf', 'Cites', 'IsSourceOf', 'Cites']",
+10.6084/m9.figshare.c.7591311,BABINE: An original and user-friendly scale for the simple and quick management of herb-drug interactions in clinical practice,figshare,2024,,Collection,Creative Commons Attribution 4.0 International,"Abstract Background While more and more people tend to use herbal products thinking they are safer than conventional western medicine, the reality is other. If natural products are bio-active and possess potential therapeutic activities, then the benefit/risk balance should be considered like any other health product. Some herbs are known to have the potential to interact with patient’s treatment and to cause adverse drug reactions. While these are scarce, they are potentially harmful, and can lead to major sequels and even death in some cases. Despite these known facts, little guidelines about how to evaluate the risk of interaction and to handle them exist in literature. Notably, few scales allowing to assess the risk of a specific combination of herbs and drugs exist. Method We propose a new scoring method BABINE (Boosting Analysis of Bibliography for herb- drug INteraction Evaluation) and discuss a scale to evaluate this risk based on iterative rounds of experts’ discussion. Results After 6 rounds of case reports/clinical studies evaluation, we analyzed and synthesized criteria identified as important by the experts and developed a corresponding evaluation scale. Conclusion Even if our scale greatly simplifies pharmacological events, we believe it provides a robust and transparent way to rapidly assess the risk of adverse event.",mds,True,findable,0,0,0,0,0,2024-12-19T04:56:35.000Z,2024-12-19T04:56:35.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Pharmacology,Biotechnology,Cancer,Mental Health,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",,,,,['IsIdenticalTo'],"[['IsIdenticalTo', '10.6084/m9.figshare.c.7591311']]"
+10.5281/zenodo.14508391,"Implementation of the library described in ""Relational reasoning on monadic semantics""",Zenodo,2024,en,Software,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,1,2024-12-17T14:43:28.000Z,2024-12-17T14:43:28.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],
+10.5281/zenodo.14527557,MATER_template_v0-6,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,This is a template dataset for review only. Its aim is to test the MATER framework for versions 0.6.X. It is used to understand the framework and how to build a model/scenario with it.,api,True,findable,0,0,0,0,0,2024-12-19T14:41:02.000Z,2024-12-19T14:41:03.000Z,cern.zenodo,cern,system dynamics,[{'subject': 'system dynamics'}],,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.14527557']]"
+10.5281/zenodo.14499308,Data and scripts for 'Distributed surface mass balance of an avalanche-fed glacier',Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This repository contains the data and scripts used for the study 'Distributed surface mass balance of an avalanche-fed glacier'. Please refer to the README file for more information.
+
+The codes are also available on GitHub: https://github.com/MarinKneib/argentiere_pleiades_smb
+
+And the data is also available on the GLACIOCLIM website: https://glacioclim.osug.fr/Distributed-surface-mass-balance-of-an-avalanche-fed-glacier",api,True,findable,0,0,0,1,1,2024-12-16T08:57:02.000Z,2024-12-16T08:57:02.000Z,cern.zenodo,cern,,,,,,,"['IsSupplementTo', 'HasVersion']",
+10.57745/exo0jy,Data for Pattern Matching and Parameter Identification for Parametric Timed Regular Expressions,Recherche Data Gouv,2024,,Dataset,,"The reproducibility package of the HSCC 2023 version is in ""hscc_ptre-main.zip"". The pdf version of the HSCC 2023 paper can also be found in the same zip file. The new examples that use polytopes are in ""polytope_examples.zip"". Inside the zip file see ""runscript.sh"" for the commands to reproduce the experiments. The instructions for compiling and building the tool ""ptre"" is the same as given in the ""README.md"" of ""hscc_ptre-main.zip"". The new examples that use zone-boxes and interval-boxes are in ""unifyzone.zip"". Inside the zip file see ""runscript.sh"" for the commands to reproduce the experiments. The instructions for compiling and building the tools ""eitre"" and ""mptre"" are given in ""README.md"" of ""unifyzone.zip"". Running the ""make"" command will generate the binaries ""eitre"" and ""mptre"".",mds,True,findable,19,2,0,0,0,2024-12-11T09:11:01.000Z,2024-12-13T10:14:07.000Z,rdg.prod,rdg,,,,,,,['HasPart'],
+10.26302/sshade/experiment_jb_20090211_001,Bi K edge XAS transmission of Bi(III) model compounds at 300K,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,0,0,1,0,0,2024-12-20T08:13:02.000Z,2024-12-20T08:13:03.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,None,hard X,hard X-rays,BN powder,Bi metallic reference,αBi2O3 - Bismite,Bi2S3 - Bismuthinite,BiOCl - Bismoclite,CaBiO2Cl,BiCu6(AsO4)3(OH)6.3H2O - mixite,solid,commercial,non-oxide ceramic,metal,oxide,sulfide,halide,chloride,arsenate","[{'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': 'BN powder', 'subjectScheme': 'name'}, {'subject': 'Bi metallic reference', 'subjectScheme': 'name'}, {'subject': 'αBi2O3 - Bismite', 'subjectScheme': 'name'}, {'subject': 'Bi2S3 - Bismuthinite', 'subjectScheme': 'name'}, {'subject': 'BiOCl - Bismoclite', 'subjectScheme': 'name'}, {'subject': 'CaBiO2Cl', 'subjectScheme': 'name'}, {'subject': 'BiCu6(AsO4)3(OH)6.3H2O - mixite', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'non-oxide ceramic', 'subjectScheme': 'compound type'}, {'subject': 'metal', 'subjectScheme': 'compound type'}, {'subject': 'oxide', 'subjectScheme': 'compound type'}, {'subject': 'sulfide', 'subjectScheme': 'compound type'}, {'subject': 'halide', 'subjectScheme': 'compound type'}, {'subject': 'chloride', 'subjectScheme': 'compound type'}, {'subject': 'arsenate', 'subjectScheme': 'compound type'}]",['6 spectra'],['ASCII'],,,"['IsPartOf', 'IsPartOf', 'IsSourceOf', 'Cites', 'IsSourceOf', 'Cites', 'IsSourceOf', 'Cites']",
+10.6084/m9.figshare.28058712,Additional file 1 of BABINE: An original and user-friendly scale for the simple and quick management of herb-drug interactions in clinical practice,figshare,2024,,Text,Creative Commons Attribution 4.0 International,Supplementary Material 1,mds,True,findable,0,0,0,1,0,2024-12-19T04:58:03.000Z,2024-12-19T04:58:04.000Z,figshare.ars,otjm,"Medicine,Neuroscience,Pharmacology,Biotechnology,Cancer,Mental Health,Infectious Diseases,FOS: Health sciences","[{'subject': 'Medicine'}, {'subject': 'Neuroscience'}, {'subject': 'Pharmacology'}, {'subject': 'Biotechnology'}, {'subject': 'Cancer'}, {'subject': 'Mental Health'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1211266 Bytes'],,,,"['IsIdenticalTo', 'IsSupplementTo']","[['IsIdenticalTo', '10.6084/m9.figshare.28058712']]"
+10.26302/sshade/experiment_pg_20100623_001,Te K edge XAS transmission of Te(IV) model compounds at 300K,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,0,0,2,0,0,2024-12-20T08:04:47.000Z,2024-12-20T08:04:47.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,None,hard X,hard X-rays,BN powder,Te,Te(OH)6,alpha-TeO2,Te(OH)6 solution at 250mM,solid,commercial,laboratory,non-oxide ceramic,semi-conductor,tellurate,tellurite,liquid solution","[{'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': 'BN powder', 'subjectScheme': 'name'}, {'subject': 'Te', 'subjectScheme': 'name'}, {'subject': 'Te(OH)6', 'subjectScheme': 'name'}, {'subject': 'alpha-TeO2', 'subjectScheme': 'name'}, {'subject': 'Te(OH)6 solution at 250mM', 'subjectScheme': 'name'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}, {'subject': 'non-oxide ceramic', 'subjectScheme': 'compound type'}, {'subject': 'semi-conductor', 'subjectScheme': 'compound type'}, {'subject': 'tellurate', 'subjectScheme': 'compound type'}, {'subject': 'tellurite', 'subjectScheme': 'compound type'}, {'subject': 'liquid solution', 'subjectScheme': 'compound type'}]",['4 spectra'],['ASCII'],,,"['IsPartOf', 'IsPartOf', 'IsSourceOf', 'Cites', 'IsSourceOf', 'Cites', 'IsSourceOf', 'Cites', 'IsSourceOf', 'Cites', 'IsSourceOf', 'Cites', 'IsSourceOf', 'Cites']",
+10.57745/ylciph,Emulating local operating conditions in Proton Exchange Membrane Fuel Cells,Recherche Data Gouv,2024,,Dataset,,"The 37 conditions investigated in this work are therefore emulated using the differential cell. The methodology allows to emulate a wider range of local values of relative humidity, temperature, species concentrations and gas pressure collected for three different areas of the simulated cell (air inlet, middle and air outlet) at the anode and cathode. The 37 different operating con-ditions are referenced in file (Operating_conditions_Cell). For each condition, the polarization curve is measure during the first scan from OCV down to the lower cell voltage, i.e., 0.2 V and Electrochemical Impedance Spectroscopy measurement are done at 3 different currents (45 mA, 180 mA and 900 mA). Each file contains either data from polarization curve or electrochemical impedance spectrum: • Break-in_IV and CX_IV. This file contains the experimental raw data of the polar-ization curve of the operating condition X. All raw data files are organized with the same structure: the first column provides the current density and the second one the corresponding cell voltage; • Break-in_EIS and CX_EIS. This file contains the experimental raw data of the im-pedance spectrum of the operating condition X at low (i.e., 45 mA, 180 mA) or medium current (i.e., 900 mA). All raw data files are organized with the same structure: The first and second columns refer to current density and cell voltage. The columns 3, 4 and five report the frequency, the real(Z) and -Im(Z) respectively. Finally, the columns 6 and 7 give module and the phase angle respectively.",mds,True,findable,11,1,0,0,0,2024-11-04T13:28:50.000Z,2024-12-17T20:37:46.000Z,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']",
+10.57745/ojbtse,Annual glacier surface flow velocity product from Sentinel-2 data for some mountain ranges in the Tropical Andes,Recherche Data Gouv,2024,,Dataset,,"Glacier ice flow velocity is an important variable to document the past and current status of the glacier worldwide. Our aim with this dataset is to provide innovative products for glaciers and their environments from remote sensing data for some mountain ranges in the Tropical Andes in southern Peru and Bolivia. The data set proposed here includes maps of annual glacier surface flow velocities for the period 2013-2022, created from Sentinel-2 optical data with the work-flow presented in Mouginot et al. (2023) and Rabatel et al. (2023). It can be used for the monitoring of glacier dynamics or for hazards detection associated to glaciers destabilization, as well as an input of model calibration and validation. These products are distributed in both netCDF and GeoTiff formats, georeferenced under the UTM-19S projection and with a pixel resolution of 50 metres. In the netCDF the following variables can be found: - v(time, y, x): Annual ice surface velocity between 2013-2022 in metres per year - dir(y, x): Direction of the ice flow represented as the angle between the flow vector and x-axis. vx = v*cos(direction) and vy = v*sin(direction) - cnt(y, x): Number of measurements used for the regression - stdev(y, x): The error on surface ice speed (metres per year) is given as the standard deviation obtained from the results of the regression. - stdeva(y, x): The error on surface ice speed (metres per year) direction is given as the standard deviation obtained from the results of the regression. - flag(y, x): Error flag mask on pixels considered as unreliable. Pixels with a coefficient of variation of the glacier surface flow velocity higher than 75% and with a standard deviation of the glacier flow direction higher than 2.5° are masked. Masked pixels: 0 Non-masked pixels: NaN - trend(y, x): Trends generated from velocities in metres/year**2, with a median filter of size 5 pixels. -trend_mask(y,x): Trend significance mask, based on Kendall rank of correlation. The same layers can be found as separated geotiff files, with the following names: ANDES_CROYAL_wFLAG_OLS_v2013-2022_cnt.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_dir.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_flag.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022.nc ANDES_CROYAL_wFLAG_OLS_v2013-2022_stdeva.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_stdev.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_trendmask.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_trend.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_vo2013.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_vo2014.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_vo2015.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_vo2016.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_vo2017.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_vo2018.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_vo2019.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_vo2020.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_vo2021.tiff ANDES_CROYAL_wFLAG_OLS_v2013-2022_vo2022.tiff",mds,True,findable,11,0,0,0,0,2024-12-02T16:10:18.000Z,2024-12-10T15:23:51.000Z,rdg.prod,rdg,,,,,,,"['HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart']",
+10.5281/zenodo.14527715,Soutenance de thèse doctorale Layan FESSLER,Zenodo,2024,fr,Text,Creative Commons Attribution 4.0 International,"Présentation de ma soutenance de thèse doctorale intitulée ""Promouvoir l'activité physique chez les personnes atteintes de maladies chroniques : Le rôle des mécanismes affectifs"".
+
+L'enregistrement au format .mp4 de la soutenance est également disponible.
+
+La soutenance a donné lieu à l'obtention du titre de Docteur de l'Université Grenoble Alpes, spécailité MCA – Mouvement et Comportement pour la santé et l'Autonomie.",api,True,findable,0,0,5,0,1,2024-12-19T15:03:08.000Z,2024-12-19T15:03:09.000Z,cern.zenodo,cern,,,,,,,"['Cites', 'Cites', 'Cites', 'Cites', 'Cites', 'HasVersion']",