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 5c4185fe82f2dce0e898f618e194247ebb7f004f..811711652dbce42ad78665a0faf38dfd4aed6757 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,760,Zenodo,2013,https://zenodo.org/
+cern.zenodo,765,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
+dryad.dryad,163,DRYAD,2018,https://datadryad.org
 inist.resif,92,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
-rdg.prod,61,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
+rdg.prod,62,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
 inist.persyval,59,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
 inist.humanum,59,NAKALA,2020,https://nakala.fr
 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 65c813b04f4a9463774493d89b47dd30ea782bea..b6e1413c9fe3612b6a3a8ec44a63a96dce6e2089 100644
--- a/1-enrich-with-datacite/nb-dois.txt
+++ b/1-enrich-with-datacite/nb-dois.txt
@@ -1 +1 @@
-2361
\ No newline at end of file
+2368
\ 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 8607f40351684a6cc12b2265b7cdcf386a7f8ef2..ac9039da9f091bf088397d22ba84c63b322f22c6 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 a2a873e0ac8b68a22fae803c23ead2bd4ffe896f..ce45df6f41213c9488b7f41c87f0df6722f2b05c 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 29fd8fc272236a34f30c516df96d91dd854a7e23..7562a52c4d6e42d88435abd10de83d964c3dfe0e 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 2af35e9f29ea54d38479340d4a7b12ae74bee740..c49e89b45ff5d38e599ae062e1a00ce71d1b0264 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 c46adffdc05249bc3009c4e8259c7b1b7dbace0d..63a249a4494f4f8091fdc29aea306410661fc27d 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 89ce36839aae9c5f8a36fcaccbd823f4621a3722..4913a67a054966f5468bc79b335629bde772115d 100644
--- a/dois-uga--last-500.csv
+++ b/dois-uga--last-500.csv
@@ -1,11 +1,17 @@
 doi,client,resourceTypeGeneral,created,publisher,rights,sizes
+10.5281/zenodo.13805976,cern.zenodo,Image,2024-09-21,Zenodo,Creative Commons Attribution 4.0 International,
+10.5281/zenodo.13772537,cern.zenodo,Software,2024-09-20,Zenodo,Creative Commons Attribution 4.0 International,
+10.5061/dryad.pk0p2ngt1,dryad.dryad,Dataset,2024-09-18,Dryad,Creative Commons Zero v1.0 Universal,['12175631 bytes']
+10.5281/zenodo.13785966,cern.zenodo,Dataset,2024-09-18,Zenodo,Creative Commons Attribution 4.0 International,
+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,
 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']
@@ -106,8 +112,8 @@ 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.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.26629135,figshare.ars,Text,2024-08-14,figshare,Creative Commons Attribution 4.0 International,['792543 Bytes']
 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,
@@ -121,8 +127,8 @@ 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.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.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)']"
@@ -138,8 +144,8 @@ 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.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.13189238,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,
@@ -217,6 +223,7 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.5281/zenodo.11402791,cern.zenodo,Dataset,2024-05-31,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.11401732,cern.zenodo,Dataset,2024-05-31,Zenodo,Creative Commons Attribution 4.0 International,
 10.57745/sl7zcw,rdg.prod,Dataset,2024-05-31,Recherche Data Gouv,,
+10.57745/0bi3lb,rdg.prod,Dataset,2024-05-29,Recherche Data Gouv,,
 10.34847/nkl.6bfbc065,inist.humanum,Text,2024-05-28,NAKALA - https://nakala.fr (Huma-Num - CNRS),,['170671 Bytes']
 10.5281/zenodo.11362604,cern.zenodo,Text,2024-05-28,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.11359207,cern.zenodo,Software,2024-05-27,Zenodo,GNU General Public License v3.0 or later,
@@ -530,10 +537,3 @@ This research has made use of spectroscopic and collisional data from the EMAA d
 10.5281/zenodo.10214410,cern.zenodo,Dataset,2023-11-29,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.10210415,cern.zenodo,Dataset,2023-11-28,Zenodo,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.c.6950873,figshare.ars,Collection,2023-11-28,figshare,Creative Commons Attribution 4.0 International,
-10.6084/m9.figshare.24647123,figshare.ars,Text,2023-11-28,figshare,Creative Commons Attribution 4.0 International,['12261 Bytes']
-10.5281/zenodo.4131582,cern.zenodo,Dataset,2023-11-28,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10034079,cern.zenodo,Software,2023-11-27,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10207868,cern.zenodo,Other,2023-11-26,Zenodo,Creative Commons Attribution 4.0 International,
-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,
diff --git a/dois-uga.csv b/dois-uga.csv
index e427d72147094ef1f59093248c291aea74085de6..a46958804022b6797f6d379a3ac3b3ccda43cfd8 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -10851,3 +10851,99 @@ Une version anglaise de ce texte a été évaluée par Masa Kageyama, Eric Steig
 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']",
+10.5281/zenodo.13805976,Quantifying the informativity of emission lines to infer physical conditions in giant molecular clouds,Zenodo,2024,en,Image,Creative Commons Attribution 4.0 International,Supplementary figures for Einig et al (2024).,api,True,findable,0,0,0,0,1,2024-09-21T19:32:13.000Z,2024-09-21T19:32:13.000Z,cern.zenodo,cern,Astrophysics,"[{'subject': 'Astrophysics', 'subjectScheme': 'EuroSciVoc'}]",,,,,['HasVersion'],
+10.5281/zenodo.13785330,Monitoring water content variations from seismic noise in a controlled laboratory experiment: PART 1,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,This dataset has been obtained with an original laboratory experiment aimed at assessing the sensitivity of passive seismic interferometry imaging (PII) to controlled fluctuations in water content. Multiple controlled cycles of water imbibition and draining at the base of the sandbox produce significant variations in the seismic wavefield and especially in dominant surface waves. PART 1: seismic measurements from 0001 to 1500minutes,api,True,findable,0,0,0,0,0,2024-09-18T15:28:42.000Z,2024-09-18T15:28:42.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.13785330']]"
+10.57745/0bi3lb,Cross-referenced data on electoral disputes and French legislative election results,Recherche Data Gouv,2024,,Dataset,,"This dataset contains data from the electoral disputes of the legislative and senatorial elections, which have been linked with data from the legislative elections (such as vote differentials between candidates). Both initial datasets are freely accessible at https://www.data.gouv.fr/ The dataset was extracted from the JADE (Justice Algorithmique Des Elections) project database, which processes and aggregates the 2 above-mentioned data sources and also contains some additional legal information.",mds,True,findable,7,0,0,0,0,2024-05-29T07:14:19.000Z,2024-09-20T09:13:09.000Z,rdg.prod,rdg,,,,,,,"['HasPart', 'HasPart', 'HasPart']",
+10.5281/zenodo.13785966,Monitoring water content variations from seismic noise in a controlled laboratory experiment: PART 2,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,This dataset has been obtained with an original laboratory experiment aimed at assessing the sensitivity of passive seismic interferometry imaging (PII) to controlled fluctuations in water content. Multiple controlled cycles of water imbibition and draining at the base of the sandbox produce significant variations in the seismic wavefield and especially in dominant surface waves. PART 2: seismic measurements from 1501 to 2700minutes,api,True,findable,0,0,0,0,0,2024-09-18T16:34:19.000Z,2024-09-18T16:34:20.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.13785966']]"
+10.5281/zenodo.13772537,"Data and code for ""SModelS v3: Going Beyond Z2 Topologies""",Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,"Data files and code for reproducing the 2MDM results presented in SModelS v3: Going Beyond Z2 Topologies.
+
+Description of folders and files contained in smodelsv3-paper-1.0.zip
+
+
+
+
+
+
+data: data files used to obtain the paper results (SLHA files and SModelS output)
+
+
+
+
+models: UFO and FeynRules files for the 2MDM model;
+
+
+
+
+notebooks: Jupyter notebooks for plotting and processing data;
+
+
+
+
+scan: Files and auxiliary code for generating the SLHA files used;
+
+
+
+Additional Information
+
+MadGraph5 was used to compute the production cross-sections and branching ratios for the 2MDM model.
+
+
+
+
+
+The results were converted to the SLHA format and used as input for SModelS v3.
+
+See the scan folder for more information.
+
+
+The scan results are stored in the data folder. The SModelS output was converted to a pandas DataFrame ( data/smodels_results_pcl.tar.gz ), which was then used to obtain the plots using the Jupyter notebooks in the notebooks folder.
+
+ 
+
+
+
+
+
+Changes w.r.t version 1: Updated metadata and added folder description",api,True,findable,0,0,0,0,0,2024-09-20T10:07:40.000Z,2024-09-20T10:07:40.000Z,cern.zenodo,cern,,,,,,,"['IsSupplementTo', 'HasVersion', 'HasVersion']","[['IsVersionOf', '10.5281/zenodo.13772537']]"
+10.5061/dryad.pk0p2ngt1,Data from: Comparative genetic and demographic responses to climate change in three peatland butterflies in the Jura massif,Dryad,2023,en,Dataset,Creative Commons Zero v1.0 Universal,"Climate is a main driver of species distributions, but all species are not
+ equally affected by climate change, and the differential responses of
+ species to similar climatic constraints might dramatically affect the
+ local species composition. In the context of climate warming, a better
+ knowledge of the ability of dispersal-limited and habitat specialist
+ species to track climate change at local scale is urgently needed.
+ Comparing the population genetic and demographic impacts of past climate
+ cycles in multiple co-distributed species with similar ecological
+ requirements can help predicting their future response to climate warming,
+ but such comparative studies remain rare. Here, we studied the
+ relationship between population demographic history and past changes in
+ spatial distribution of three protected peatbog butterfly species (Boloria
+ aquilonaris, Coenonympha tullia, Lycaena helle) in the Jura massif
+ (France), using a genomic approach (ddRAD sequencing) and species
+ distribution modeling (SDM). We found that the three species have a
+ similar and narrow thermal niche, and share a common demographic history
+ of recent post-glacial decline and fragmentation of populations. Each
+ species functions as a single metapopulation more or less structured at
+ the regional scale, with a North-South gradient of decreasing genetic
+ diversity that fits the local dynamics of the ice cover overtime. However,
+ we found no correlation between changes in the quantity or the quality of
+ suitable areas and effective population size over time, suggesting that
+ species ranges moved beyond the Jura massif during the less favorable
+ climatic periods, and that other factors than climate are at play in the
+ dramatic decline currently observed in the three species.",mds,True,findable,0,0,0,1,0,2024-09-18T16:37:18.000Z,2024-09-18T16:37:19.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,comparative population genomics,species distribution modeling,genetic diversity,demographic inferences,Climate change,ddRAD Sequencing","[{'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'comparative population genomics'}, {'subject': 'species distribution modeling'}, {'subject': 'genetic diversity'}, {'subject': 'demographic inferences'}, {'subject': 'Climate change', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'ddRAD Sequencing'}]",['12175631 bytes'],,,,['IsCitedBy'],
+10.5281/zenodo.13745070,Climate change has no apparent effect on debris flows in a supply-limited torrent,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This file contains all tree-ring data, growth disturbance data, final debris-flow chronology data and map background data used in the paper ""A supply-limited torrent that does not feel the heat of climate change""
+
+Multetta-tree-ring raw data.rwl: Contains the raw measurement data from 761 tree-ring cores from 478 P. mugo trees.
+
+Growth Disturbances-Original data.xlsx: Contains detailed information on tree-ring cores, growth disturbances and their intensity. Zone area refers to the zonation (1-4 corresponds to SI-SIV) of the sampled trees in the study area. Tree ID refers to the name of the tree-ring core or cross section/wedge. The third and fourth columns refer to Y/latitude and X/longitude. Last ring refers to the year of the outermost ring and is mostly 2020, which is the year when the fieldwrok was carried out. In some cases, tree-ring cores were broken or they were taken from dead trees, so the year of the outermost ring is not 2020. Oldest ring refers to the year of the innermost available ring. In the age incomplete column, a value of 1 indicates that the oldest ring measured is not the innermost ring of the tree center. Age refers to the age of the trees, which is equals to the value of the last ring minus the value of the oldest ring. The Comments column indicates the wedge and the cross section. From the tenth column, the numbers 2020, 2019, 2018...... refer to different years corresponding to tree rings. Here, all values including 0, 1, 2, 3 and 4 indicate that there is a measured annual ring in the corresponding year. Blank indicates no data. GS refers to growth suppression. CW refers to compression wood. I refers to injury and CT refers to callus tissue. The number 0 means no growth disturbance. Numbers 1-4 mean intensity from weak to strong. For example, in the 2016 column, any core with '2GS' means the tree-ring showed growth suppression in 2016 and the corresponding intensity is 2. The growth disturbance (GDs) statistic is shown at the bottom, including all 1427 GDs, but GDs with intensity 1 were excluded from the analysis. Note: Samples mub74 and mul105 have data from both section and core, so 480 tree-ring series exist. 
+
+Events-Final definition.xlsx: Contains all tree-ring based reconstructed debris-flow events for each zone (1-4 corresponds to SI-SIV) after careful examination of the spatial distribution of damaged trees. In the process of defining events, years were excluded from the analysis that (1) showed incoherent patterns of damaged trees (e.g. GDs evenly distributed on the cone, probably due to climatic extremes or insect pests), (2) were recorded in historical chronicles as snow avalanche years, or (3) were characterized by high mortality of P. mugo trees, as indicated by low tree-ring index (<1.5 average value) in the event cataster of the Canton of Grisons and the Swiss National Park (Bigler and Rigling, 2013).
+
+Figures and the data used in figures are shown as below:
+
+Information on tree location and age in fig.1D, GDs and sample depth (At) in fig.3A, reconstructed XXL events in fig.4A, GDs for affected regions (total of 16 regions) in fig.4B, GDs in different years for different zones in fig.S3 and GDs for different affected regions in fig.S4 is from the file: Growth Disturbances-Original data.xlsx.
+
+Information on the 56 defined events in fig.3B and the reconstructed debris-flow events in fig.5A, 5B is from the file: Events-Final definition.xlsx. Here, 75 events occurred in 4 zones, but actually all events occurred in 56 different years.
+
+The LiDAR DEM background in fig.1B, 1C and the hillshade view of the 2023 LiDAR DEM background in fig.S1, S2 are from Swisstopo (https://map.geo.admin.ch/).
+
+The R code used for the repose time pattern analysis in fig.5A, 5B is originally from the previously published paper (Heiser, M. et al., 2023) and is available on GitLab at https://gitlab.com/Rexthor/repose-time-patterns.",api,True,findable,0,0,0,0,0,2024-09-11T10:19:17.000Z,2024-09-11T10:19:18.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.13745070']]"