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 a4f6e7ed9d4ffe27c15f2e98d6e18cfc57e57294..8ec6cf78b259aae67c1e13e76966c4fec0948e12 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,853,Zenodo,2013,https://zenodo.org/
+cern.zenodo,857,Zenodo,2013,https://zenodo.org/
 inist.sshade,510,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
 figshare.ars,377,figshare Academic Research System,2016,http://figshare.com/
 inist.osug,275,Observatoire des Sciences de l'Univers de Grenoble,2014,http://doi.osug.fr
 dryad.dryad,167,DRYAD,2018,https://datadryad.org
 inist.resif,95,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
-rdg.prod,79,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
+rdg.prod,80,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
 inist.humanum,73,NAKALA,2020,https://nakala.fr
 inist.persyval,63,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
 fmsh.prod,28,Fondation Maison des sciences de l'homme,2023,
@@ -15,28 +15,29 @@ mcdy.dohrmi,14,dggv-e-publications,2020,https://www.dggv.de/publikationen/dggv-e
 figshare.sage,6,figshare SAGE Publications,2018,
 inist.cirm,6,Centre International de Rencontres Mathématiques,2017,
 iris.iris,5,Incorporated Research Institutions for Seismology,2018,http://www.iris.edu/hq/
-tib.gfzbib,3,GFZpublic,2011,https://gfzpublic.gfz-potsdam.de
-cnic.sciencedb,3,ScienceDB,2022,https://www.scidb.cn/en
 vqpf.dris,3,Direction des ressources et de l'information scientifique,2021,
 tib.repod,3,RepOD,2015,https://repod.icm.edu.pl/
+cnic.sciencedb,3,ScienceDB,2022,https://www.scidb.cn/en
+tib.gfzbib,3,GFZpublic,2011,https://gfzpublic.gfz-potsdam.de
+ugraz.unipub,2,unipub,2019,http://unipub.uni-graz.at
 ethz.sed,2,"Swiss Seismological Service, national earthquake monitoring and hazard center",2013,http://www.seismo.ethz.ch
-bl.nerc,2,NERC Environmental Data Service,2011,https://eds.ukri.org
 inist.eost,2,Ecole et Observatoire des Sciences de la Terre,2017,https://eost.unistra.fr/en/
+bl.nerc,2,NERC Environmental Data Service,2011,https://eds.ukri.org
 tug.openlib,2,TU Graz OPEN Library,2020,https://openlib.tugraz.at/
-ugraz.unipub,2,unipub,2019,http://unipub.uni-graz.at
-ethz.zora,1,"Universität Zürich, ZORA",2013,https://www.zora.uzh.ch/
-inist.ird,1,IRD,2016,
-estdoi.ttu,1,TalTech,2019,https://digikogu.taltech.ee
 repod.dbuw,1,University of Warsaw Research Data Repository,2023,https://danebadawcze.uw.edu.pl/
-crui.ingv,1,Istituto Nazionale di Geofisica e Vulcanologia (INGV),2013,http://data.ingv.it/
 inist.opgc,1,Observatoire de Physique du Globe de Clermont-Ferrand,2017,
-bl.mendeley,1,Mendeley Data,2015,https://data.mendeley.com/
+estdoi.ttu,1,TalTech,2019,https://digikogu.taltech.ee
+inist.ird,1,IRD,2016,
+ethz.zora,1,"Universität Zürich, ZORA",2013,https://www.zora.uzh.ch/
+crui.ingv,1,Istituto Nazionale di Geofisica e Vulcanologia (INGV),2013,http://data.ingv.it/
 ethz.da-rd,1,ETHZ Data Archive - Research Data,2013,http://data-archive.ethz.ch
+ihumi.pub,1,IHU Méditerranée Infection,2020,
+bl.mendeley,1,Mendeley Data,2015,https://data.mendeley.com/
+edi.edi,1,Environmental Data Initiative,2017,https://portal.edirepository.org/nis/home.jsp
 bl.iita,1,International Institute of Tropical Agriculture datasets,2017,http://data.iita.org/
 tib.gfz,1,GFZ Data Services,2011,https://dataservices.gfz-potsdam.de/portal/
 ardcx.nci,1,National Computational Infrastructure,2020,
 inist.omp,1,Observatoire Midi-Pyrénées,2011,
-ihumi.pub,1,IHU Méditerranée Infection,2020,
 umass.uma,1,University of Massachusetts (UMass) Amherst,2018,https://scholarworks.umass.edu/
-edi.edi,1,Environmental Data Initiative,2017,https://portal.edirepository.org/nis/home.jsp
 inist.inrap,1,Institut national de recherches archéologiques préventives,2019,
+tib.mpdl,1,Max Planck Digital Library,2015,
diff --git a/1-enrich-with-datacite/nb-dois.txt b/1-enrich-with-datacite/nb-dois.txt
index 27de9721fe6c55b3ae99c42faeb897aa15c21980..fe29f3b5a68c96fcebd6cfaa75550a5cc8891b03 100644
--- a/1-enrich-with-datacite/nb-dois.txt
+++ b/1-enrich-with-datacite/nb-dois.txt
@@ -1 +1 @@
-2629
\ No newline at end of file
+2635
\ 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 2868c4fb06dc73b7bcabd397aedca5d5f331b0b1..2973235991071626e8e3f492b9db16a71e8de819 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 e4a3dfe494263842a1da1ba88c14e5bd728fa631..14944dc56c932234cc5ed24a404e10fcbeb60b5d 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 29f70628412a1d5eafd52be18795d4cc7e9d2b8e..d559c40b673df549b1cf7a0b16c1005d231ce4c1 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 76a9ac2a8109d19b5495ab8c5ff3efc2f20cbd12..6e5c59fabf40390908f97b2c5732f2fc38ba6867 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 3311bd8e62739ff1a4eb1e3f166f9cce4a178399..92ef2e25db27c929de8a41127dd99e749b172b3f 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 358d38da4b1c7c4dc0025c87f59869a3cc0ce601..f15b1a621c8c79a1ff2de7505ed030802554bfc2 100644
--- a/dois-uga--last-500.csv
+++ b/dois-uga--last-500.csv
@@ -1,4 +1,9 @@
 doi,client,resourceTypeGeneral,created,publisher,rights,sizes
+10.5281/zenodo.14833746,cern.zenodo,Dataset,2025-02-09,Zenodo,Creative Commons Attribution 4.0 International,
+10.5281/zenodo.14824026,cern.zenodo,Dataset,2025-02-06,Zenodo,Creative Commons Attribution 4.0 International,
+10.5281/zenodo.14808936,cern.zenodo,Dataset,2025-02-06,Zenodo,Creative Commons Attribution Share Alike 4.0 International,
+10.5281/zenodo.14811394,cern.zenodo,Text,2025-02-05,Zenodo,Creative Commons Attribution 4.0 International,
+10.57745/nj15ir,rdg.prod,Dataset,2025-02-05,Recherche Data Gouv,,
 10.5281/zenodo.14801189,cern.zenodo,Dataset,2025-02-04,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.14800883,cern.zenodo,Software,2025-02-04,Zenodo,GNU General Public License v3.0 only,
 10.26302/sshade/experiment_op_20060709_001,inist.sshade,Dataset,2025-01-31,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']
@@ -148,14 +153,15 @@ This research has made use of spectroscopic and collisional data from the EMAA d
 10.1594/pangaea.971918,pangaea.repository,Dataset,2024-12-11,PANGAEA,Creative Commons Attribution 4.0 International,['210 data points']
 10.1594/pangaea.971916,pangaea.repository,Dataset,2024-12-11,PANGAEA,Creative Commons Attribution 4.0 International,['188 data points']
 10.5281/zenodo.14339958,cern.zenodo,Image,2024-12-09,Zenodo,Creative Commons Attribution 4.0 International,
+10.17617/3.taxlee,tib.mpdl,Dataset,2024-12-09,Edmond,Creative Commons Zero v1.0 Universal,"['733811', '355292', '180981', '852218', '613950', '52746', '47841', '8400', '614618', '8456', '8512', '78752', '894', '923307', '8344', '512264', '8400', '275329', '8512', '8512', '200589', '83282']"
 10.5061/dryad.280gb5mvx,dryad.dryad,Dataset,2024-12-09,Dryad,Creative Commons Zero v1.0 Universal,['12624044 bytes']
 10.5281/zenodo.14280087,cern.zenodo,Dataset,2024-12-08,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.14291987,cern.zenodo,Software,2024-12-07,Zenodo,MIT License,
-10.6084/m9.figshare.27958021,figshare.ars,Text,2024-12-04,figshare,Creative Commons Attribution 4.0 International,['149756 Bytes']
 10.6084/m9.figshare.c.7569397,figshare.ars,Collection,2024-12-04,figshare,Creative Commons Attribution 4.0 International,
+10.6084/m9.figshare.27958021,figshare.ars,Text,2024-12-04,figshare,Creative Commons Attribution 4.0 International,['149756 Bytes']
 10.6084/m9.figshare.27958018,figshare.ars,Text,2024-12-04,figshare,Creative Commons Attribution 4.0 International,['369386 Bytes']
-10.6084/m9.figshare.27957940,figshare.ars,Text,2024-12-04,figshare,Creative Commons Attribution 4.0 International,['18680 Bytes']
 10.6084/m9.figshare.c.7569352,figshare.ars,Collection,2024-12-04,figshare,Creative Commons Attribution 4.0 International,
+10.6084/m9.figshare.27957940,figshare.ars,Text,2024-12-04,figshare,Creative Commons Attribution 4.0 International,['18680 Bytes']
 10.34847/nkl.d4b27275,inist.humanum,Text,2024-12-03,NAKALA - https://nakala.fr (Huma-Num - CNRS),Etalab Open License 2.0,['115964 bytes']
 10.34847/nkl.b4dd5610,inist.humanum,Text,2024-12-03,NAKALA - https://nakala.fr (Huma-Num - CNRS),Etalab Open License 2.0,['64187 bytes']
 10.34847/nkl.1ff54w66,inist.humanum,Text,2024-12-03,NAKALA - https://nakala.fr (Huma-Num - CNRS),Etalab Open License 2.0,['92721 bytes']
@@ -264,11 +270,11 @@ This research has made use of spectroscopic and collisional data from the EMAA d
 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.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,
+10.6084/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.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']
+10.6084/m9.figshare.c.6585842,figshare.ars,Collection,2024-09-11,figshare,Creative Commons Attribution 4.0 International,
 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,
@@ -311,8 +317,8 @@ This research has made use of spectroscopic and collisional data from the EMAA d
 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']
@@ -386,8 +392,8 @@ This research has made use of spectroscopic and collisional data from the EMAA d
 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.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.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.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)']"
@@ -530,9 +536,3 @@ This research has made use of spectroscopic and collisional data from the EMAA d
 10.5281/zenodo.11164067,cern.zenodo,Dataset,2024-05-09,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.11126561,cern.zenodo,Dataset,2024-05-07,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.8289298,cern.zenodo,Dataset,2024-05-03,Zenodo,Creative Commons Attribution 4.0 International,
-10.34847/nkl.ddd67398,inist.humanum,Text,2024-05-03,NAKALA - https://nakala.fr (Huma-Num - CNRS),,['30687 Bytes']
-10.5281/zenodo.11106595,cern.zenodo,Dataset,2024-05-02,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10980635,cern.zenodo,Dataset,2024-04-30,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.11064977,cern.zenodo,Dataset,2024-04-29,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.11070913,cern.zenodo,ComputationalNotebook,2024-04-26,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.11068959,cern.zenodo,Text,2024-04-25,Zenodo,Creative Commons Attribution 4.0 International,
diff --git a/dois-uga.csv b/dois-uga.csv
index bdcddfe0fd26f109598857f4403568ffc77b21f9..3fa9d47e9e46363c249771b46cb05e18729d92c0 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -13234,3 +13234,23 @@ corrplot
 This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",25 hyperfine energy levels / 38 radiative transitions / 300 collisional transitions for He (6 temperatures in the range 5-30K) / 300 collisional transitions for para-H2 (6 temperatures in the range 5-30K),mds,True,findable,0,0,2,0,0,2025-01-27T15:59:42.000Z,2025-01-27T15:59:43.000Z,inist.osug,jbru,"target HCNH+,excitationType Hyperfine,collisional excitation,collider.0 He,collider.1 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target HCNH+', 'subjectScheme': 'main'}, {'subject': 'excitationType Hyperfine', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 He', 'subjectScheme': 'var'}, {'subject': 'collider.1 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex'],,,"['Cites', 'IsPartOf', 'References', 'References']",
 10.17178/emaa_d(13c)n_rotation_0a5e68c6,Rotation excitation of D[13C]N by para-H2 collisions,"UGA, CNRS, CNRS-INSU, OSUG",2024,en,Dataset,"Please acknowledge the use of EMAA Database by citing the original articles in which the data were published (BibTeX format available), and adding the following sentence in your publication: 
 This research has made use of spectroscopic and collisional data from the EMAA database (https://emaa.osug.fr). EMAA is supported by the Observatoire des Sciences de l'Univers de Grenoble (OSUG),Creative Commons Attribution 4.0 International,Data access and use are ruled by the EMAA data policy.",13 rotation energy levels / 12 radiative transitions / 78 collisional transitions for para-H2 (10 temperatures in the range 5-50K),mds,True,findable,0,0,2,0,0,2025-01-27T15:59:10.000Z,2025-01-27T15:59:10.000Z,inist.osug,jbru,"target D[13C]N,excitationType Rotation,collisional excitation,collider.0 para-H2,astrophysics,interstellar medium,comets,circumstellar medium,gas,microwave spectroscopy,infrared spectroscopy,rotational excitation,rovibrational excitation,vibrational excitation,electronic excitation,collisional rate coefficients,fine structure,hyperfine structure","[{'subject': 'target D[13C]N', 'subjectScheme': 'main'}, {'subject': 'excitationType Rotation', 'subjectScheme': 'main'}, {'subject': 'collisional excitation', 'subjectScheme': 'main'}, {'subject': 'collider.0 para-H2', 'subjectScheme': 'var'}, {'subject': 'astrophysics', 'subjectScheme': 'var'}, {'subject': 'interstellar medium', 'subjectScheme': 'var'}, {'subject': 'comets', 'subjectScheme': 'var'}, {'subject': 'circumstellar medium', 'subjectScheme': 'var'}, {'subject': 'gas', 'subjectScheme': 'var'}, {'subject': 'microwave spectroscopy', 'subjectScheme': 'var'}, {'subject': 'infrared spectroscopy', 'subjectScheme': 'var'}, {'subject': 'rotational excitation', 'subjectScheme': 'var'}, {'subject': 'rovibrational excitation', 'subjectScheme': 'var'}, {'subject': 'vibrational excitation', 'subjectScheme': 'var'}, {'subject': 'electronic excitation', 'subjectScheme': 'var'}, {'subject': 'collisional rate coefficients', 'subjectScheme': 'var'}, {'subject': 'fine structure', 'subjectScheme': 'var'}, {'subject': 'hyperfine structure', 'subjectScheme': 'var'}]",,['Radex'],,,"['Cites', 'IsPartOf', 'References', 'References']",
+10.57745/nj15ir,Replication Data for: Spatial development of planar and axisymmetric wakes of porous objects under a pressure gradient: a wind tunnel study,Recherche Data Gouv,2025,,Dataset,,"This dataset concerns pressure sensor datasets about the spatial evolution of a turbulent wake in the subsonic S620 wind tunnel of ISAE-ENSMA in Poitiers, France. The details about the experimental setup are given in the associated publication. A porous disk, designed to mimic the wake of a horizontal axis wind turbine, and a porous cylinder, whose wake matches that of a vertical axis wind turbine, were tested in a wind tunnel for Reynolds numbers (based on the generator diameter) in the range of 2.6 x 10^5 to 3.9 x 10^5. Experiments were conducted between 1 and 7 diameters downstream of the disk and from 2 to 12 diameters downstream of the cylinder. The data covers horizontal profiles made for several streamwise distances. The file ReadMe.txt explains the organisation and how the data can be read using an associated python script. All data concerns pressure sensors, that were operated with a nominal temporal resolution of 1kHz and have a resolution of 0.05%.",mds,True,findable,15,1,0,0,0,2025-02-05T12:41:55.000Z,2025-02-05T14:03:13.000Z,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', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart']",
+10.5281/zenodo.14824026,Operando x-ray tomography scans of a granular zeolite compressed in uniaxial (oedometric) compression,Zenodo,2025,,Dataset,Creative Commons Attribution 4.0 International,"This dataset (ZSZKOD06) is a series of operando (""in-situ scanning"") x-ray tomography scans performed during quasi-static uniaxial loading of zeolite partices until high stresses, meaning that by the last scan there is very significant particle breakage (see animated GIF as a middle-vertical-slice through all the volumes).
+
+The data was collected in the context of Zeynep Karatza's PhD Thesis on the x-ray tomography scanner in Laboratoire 3SR.
+
+The data and experimental process are described in this paper where it is called ""OCS1"".
+
+In short data were collected during a compression test performed inside an x-ray scanner. The x-ray source is polychromatic running at 100kV and emits a cone beam, the detector is a flat panel.
+
+Reconstruction with FPB, voxel size in the reconstruction 12.25µm.
+
+Radiographies available on request.
+
+ 
+
+ ",api,True,findable,0,0,0,0,1,2025-02-06T16:35:16.000Z,2025-02-06T16:35:17.000Z,cern.zenodo,cern,"x-ray tomography,zeolite,granular media","[{'subject': 'x-ray tomography'}, {'subject': 'zeolite'}, {'subject': 'granular media'}]",,,,,"['IsPublishedIn', 'IsDescribedBy', 'IsDescribedBy', 'HasVersion']",
+10.5281/zenodo.14811394,Tailoring the dynamics of spintronic neural networks,Zenodo,2024,en,Text,Creative Commons Attribution 4.0 International,"Nonlinear random projection machines are efficient neural networks capable of classifying real- life data with lower computational demands compared to standard artificial neural networks. They are well-suited for hardware implementation using nonlinear devices, enabling the creation of low-power hardware neural networks. We implement such a network using vortex-based spin-torque oscillators (STVOs), magnetic tunnel junctions (MTJs) that transform input signals nonlinearly at low power. We identify three physical parameters affecting the STVO dynamics and the network's performance during data classification. We demonstrate their impact on a simplified nonlinear separation task and optimize them using ultrafast data-driven simulations for image recognition on the MNIST dataset. This approach holds potential for further hyperparameter optimization in STVO-based hardware random projection machines, and for the efficient development of custom neural architectures tailored for neuromorphic data classification.",api,True,findable,0,0,11,0,1,2025-02-05T15:45:09.000Z,2025-02-05T15:45:10.000Z,cern.zenodo,cern,"Spintronics,Machine learning","[{'subject': 'Spintronics'}, {'subject': 'Machine learning'}]",,,,,"['Cites', 'Cites', 'Cites', 'Cites', 'Cites', 'Cites', 'Cites', 'Cites', 'Cites', 'Cites', 'Cites', 'HasVersion']",
+10.5281/zenodo.14833746,"Data for ""Prebiotic synthesis of the major classes of iron-sulfur clusters""",Zenodo,2025,,Dataset,Creative Commons Attribution 4.0 International,"Data associated with Scintilla S, Rossetto D, Clémancey M, Rendon J, Ranieri A, Borsari M, Guella G, Assfalg M, Borsari M, Gambarelli S, Blondin G, Mansy SS (2025) Prebiotic synthesis of the major classes of iron-sulfur clusters. Chem Sci. DOI: 10.1039/d5sc00524h",api,True,findable,0,0,0,0,1,2025-02-09T10:27:24.000Z,2025-02-09T10:27:24.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],
+10.5281/zenodo.14808936,Thermal spin wave noise as a probe for the Dzyaloshinkii-Moriya interaction,Zenodo,2025,,Dataset,Creative Commons Attribution Share Alike 4.0 International,Data relative to the publication arXiv:2502.03166.,api,True,findable,0,0,0,0,1,2025-02-06T07:57:00.000Z,2025-02-06T07:57:00.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],
+10.17617/3.taxlee,Investigating the molybdenum nitrogenase mechanistic cycle using spectroelectrochemistry,Edmond,2025,,Dataset,Creative Commons Zero v1.0 Universal,"Data for the manuscript ""Investigating the molybdenum nitrogenase mechanistic cycle using spectroelectrochemistry""",mds,True,findable,0,0,0,0,0,2024-12-09T10:58:06.000Z,2025-02-09T17:20:57.000Z,tib.mpdl,bmlm,,,"['733811', '355292', '180981', '852218', '613950', '52746', '47841', '8400', '614618', '8456', '8512', '78752', '894', '923307', '8344', '512264', '8400', '275329', '8512', '8512', '200589', '83282']","['text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'text/plain', 'chemical/x-xyz', 'text/plain', 'chemical/x-xyz', 'chemical/x-xyz', 'text/plain', 'text/plain', 'text/plain', 'chemical/x-xyz', 'text/plain', 'chemical/x-xyz', 'text/plain', 'chemical/x-xyz', 'chemical/x-xyz', 'text/plain', 'text/plain']",,,['IsSupplementTo'],