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 9618bfd14fc819fda71bd0d85376015cc2530d67..3a3fc23a19fe185666c55e2e455e579f97fa0ab0 100644
--- a/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
+++ b/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
@@ -1,39 +1,40 @@
 client,count,name,year,url
-cern.zenodo,805,Zenodo,2013,https://zenodo.org/
-inist.sshade,496,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
+cern.zenodo,809,Zenodo,2013,https://zenodo.org/
+inist.sshade,497,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
 figshare.ars,361,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,164,DRYAD,2018,https://datadryad.org
+dryad.dryad,165,DRYAD,2018,https://datadryad.org
 inist.resif,93,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
-rdg.prod,68,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
+rdg.prod,69,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
 inist.humanum,65,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,
 mcdy.dohrmi,12,dggv-e-publications,2020,https://www.dggv.de/publikationen/dggv-e-publikationen.html
-pangaea.repository,8,PANGAEA,2020,https://www.pangaea.de/
+pangaea.repository,9,PANGAEA,2020,https://www.pangaea.de/
 figshare.sage,6,figshare SAGE Publications,2018,
 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,
+cnic.sciencedb,3,ScienceDB,2022,https://www.scidb.cn/en
 tib.repod,3,RepOD,2015,https://repod.icm.edu.pl/
 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
 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
+tug.openlib,1,TU Graz OPEN Library,2020,https://openlib.tugraz.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/
-tug.openlib,1,TU Graz OPEN Library,2020,https://openlib.tugraz.at/
 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
+repod.dbuw,1,University of Warsaw Research Data Repository,2023,https://danebadawcze.uw.edu.pl/
+bl.mendeley,1,Mendeley Data,2015,https://data.mendeley.com/
 inist.opgc,1,Observatoire de Physique du Globe de Clermont-Ferrand,2017,
+ethz.da-rd,1,ETHZ Data Archive - Research Data,2013,http://data-archive.ethz.ch
+ardcx.nci,1,National Computational Infrastructure,2020,
 inist.omp,1,Observatoire Midi-Pyrénées,2011,
 ihumi.pub,1,IHU Méditerranée Infection,2020,
-bl.mendeley,1,Mendeley Data,2015,https://data.mendeley.com/
-ardcx.nci,1,National Computational Infrastructure,2020,
-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/
 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
+bl.iita,1,International Institute of Tropical Agriculture datasets,2017,http://data.iita.org/
+inist.ccj,1,Centre Camille Jullian – UMR 7299,2020,
diff --git a/1-enrich-with-datacite/nb-dois.txt b/1-enrich-with-datacite/nb-dois.txt
index 4baaea8c600d4cf7fd711e19db8327140dbdb86d..13f740d5709f8bfa1c0a1dddae8450c43452df72 100644
--- a/1-enrich-with-datacite/nb-dois.txt
+++ b/1-enrich-with-datacite/nb-dois.txt
@@ -1 +1 @@
-2447
\ No newline at end of file
+2456
\ 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 33a8be1e22c8d09a79ae3308bb585752f94fc911..20419dffb97a106498981f89bd2f757228022837 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 8ecc1d1dc542af52de0d500fa4a30c34abab9737..e130b6cbd84244e7b90fdf342b79b45e27f02ea5 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 b4272a3cb6bf46e78e88961f0f48e27e39d4f157..7f890f0570fba42398af4c6588d5c8d896c09608 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 a2b4b5e1adb9355aeffd450bac21966fa2a3580b..c7e3e05bc13dc43355e4166fb0034b7f8ac590ba 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 c371fc8a3bc22b928f89a4bb27a30915b74ee8a5..771c91d47c7cfdc8ce1f372ff4f3b9acc3d026fe 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 aa642abc818362cc35545040df208b4e77dd7f34..0d654969b35f0c0ff76ee72cb32b4d30fc3aaa28 100644
--- a/dois-uga--last-500.csv
+++ b/dois-uga--last-500.csv
@@ -1,4 +1,12 @@
 doi,client,resourceTypeGeneral,created,publisher,rights,sizes
+10.1594/pangaea.967492,pangaea.repository,Dataset,2024-11-23,PANGAEA,Creative Commons Attribution 4.0 International,['1824 data points']
+10.34927/ccj.epi.14,inist.ccj,Collection,2024-11-22,Centre Camille Jullian,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,
+10.5281/zenodo.14199068,cern.zenodo,Dataset,2024-11-21,Zenodo,Creative Commons Attribution 4.0 International,
+10.5281/zenodo.14199080,cern.zenodo,Dataset,2024-11-21,Zenodo,"Creative Commons Attribution 4.0 International,Creative Commons Attribution 4.0 International",
+10.5061/dryad.8sf7m0czw,dryad.dryad,Dataset,2024-11-21,Dryad,Creative Commons Zero v1.0 Universal,['2055300 bytes']
+10.26302/sshade/experiment_lb_20221013_001,inist.sshade,Dataset,2024-11-19,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.",['34 spectra']
+10.5281/zenodo.13904472,cern.zenodo,Text,2024-11-18,Zenodo,Creative Commons Attribution 4.0 International,
+10.5281/zenodo.13628539,cern.zenodo,Dataset,2024-11-18,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.14170819,cern.zenodo,Dataset,2024-11-15,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.14163781,cern.zenodo,Audiovisual,2024-11-14,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.14151075,cern.zenodo,Dataset,2024-11-13,Zenodo,Creative Commons Attribution 4.0 International,
@@ -75,8 +83,8 @@ 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.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']
@@ -182,8 +190,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.6084/m9.figshare.26635410,figshare.ars,Text,2024-08-14,figshare,Creative Commons Attribution 4.0 International,['39961 Bytes']
 10.6084/m9.figshare.c.6905671,figshare.ars,Collection,2024-08-14,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.26633925,figshare.ars,Text,2024-08-14,figshare,Creative Commons Attribution 4.0 International,['557382 Bytes']
-10.6084/m9.figshare.c.6889784,figshare.ars,Collection,2024-08-14,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.26629135,figshare.ars,Text,2024-08-14,figshare,Creative Commons Attribution 4.0 International,['792543 Bytes']
+10.6084/m9.figshare.c.6889784,figshare.ars,Collection,2024-08-14,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.c.6880688,figshare.ars,Collection,2024-08-14,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.26626966,figshare.ars,Text,2024-08-14,figshare,Creative Commons Attribution 4.0 International,['4519412 Bytes']
 10.6084/m9.figshare.c.6683920,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
@@ -197,8 +205,8 @@ 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.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.6596504,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.26567603,figshare.ars,Text,2024-08-13,figshare,Creative Commons Attribution 4.0 International,['360541 Bytes']
 10.6084/m9.figshare.c.6586928,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
 10.15778/resif.z42022,inist.resif,Dataset,2024-08-12,RESIF - Réseau Sismologique et géodésique Français,,"['98 stations, 280Go (miniseed format)']"
@@ -214,8 +222,8 @@ 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,
@@ -408,8 +416,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.60527/aa32-v231,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
 10.60527/evrp-sc36,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
 10.60527/t65m-5h40,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
-10.60527/nnhk-n811,fmsh.prod,Other,2024-03-06,"Univ. Grenoble Alpes, GRESEC",,
 10.60527/kr45-gv91,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
+10.60527/nnhk-n811,fmsh.prod,Other,2024-03-06,"Univ. Grenoble Alpes, GRESEC",,
 10.60527/kzta-f520,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
 10.60527/gx2t-a525,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
 10.60527/67kz-8s19,fmsh.prod,Audiovisual,2024-03-06,"Univ. Grenoble Alpes, GRESEC",Droit commun de la propriété intellectuelle,
@@ -422,8 +430,8 @@ 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']
@@ -468,8 +476,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.57745/krycyy,rdg.prod,Dataset,2024-01-29,Recherche Data Gouv,,
 10.5281/zenodo.10578348,cern.zenodo,Software,2024-01-28,Zenodo,GNU General Public License v3.0 or later,
 10.5281/zenodo.10577878,cern.zenodo,Software,2024-01-28,Zenodo,Creative Commons Attribution 4.0 International,
-10.6084/m9.figshare.c.7046484,figshare.ars,Collection,2024-01-28,figshare,Creative Commons Attribution 4.0 International,
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+10.6084/m9.figshare.c.7046484,figshare.ars,Collection,2024-01-28,figshare,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.10575610,cern.zenodo,Dataset,2024-01-27,Zenodo,Creative Commons Attribution 4.0 International,
 10.57745/rjx9xh,rdg.prod,Dataset,2024-01-26,Recherche Data Gouv,,
 10.5281/zenodo.10551644,cern.zenodo,Dataset,2024-01-22,Zenodo,Creative Commons Attribution 4.0 International,
@@ -491,11 +499,3 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.5281/zenodo.8316180,cern.zenodo,Dataset,2024-01-09,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.10469399,cern.zenodo,Dataset,2024-01-08,Zenodo,Creative Commons Attribution 4.0 International,
 10.6084/m9.figshare.24953169,figshare.ars,Text,2024-01-06,figshare,Creative Commons Attribution 4.0 International,['48627 Bytes']
-10.18150/vbwcr1,tib.repod,Dataset,2024-01-05,RepOD,,
-10.6084/m9.figshare.c.7009820,figshare.ars,Collection,2024-01-05,figshare,Creative Commons Attribution 4.0 International,
-10.6084/m9.figshare.24946445,figshare.ars,Text,2024-01-05,figshare,Creative Commons Attribution 4.0 International,['20755 Bytes']
-10.6084/m9.figshare.c.7007130,figshare.ars,Collection,2024-01-04,figshare,Creative Commons Attribution 4.0 International,
-10.6084/m9.figshare.24940485,figshare.ars,Text,2024-01-04,figshare,Creative Commons Attribution 4.0 International,['399440 Bytes']
-10.5281/zenodo.10440363,cern.zenodo,Software,2024-01-04,Zenodo,,
-10.5281/zenodo.10441453,cern.zenodo,Dataset,2023-12-29,Zenodo,Creative Commons Attribution 4.0 International,
-10.26302/sshade/bandlist_raman_alstonite,inist.sshade,Dataset,2023-12-27,SSHADE/BANDLIST (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.",
diff --git a/dois-uga.csv b/dois-uga.csv
index 28cba18824008429a4ed59ca30ca0ff261974423..3d21659e400d7ae03f251f548c6d40d982d211b0 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -11630,3 +11630,312 @@ Reference publication: Lapere, R., Marelle, L., Rampal, P., Brodeau, L., Melshei
  any vector-borne interaction involving blood-feeding arthropods. Our
  insights will not only refine laboratory procedures, but also enhance
  research efforts and medical diagnosis of vector-borne diseases.",mds,True,findable,0,0,0,0,0,2024-11-11T09:15:32.000Z,2024-11-11T09:15:33.000Z,dryad.dryad,dryad,"FOS: Biological sciences,FOS: Biological sciences,DNA metabarcoding,host,vector,parasite,mosquito blood meals,Plasmodium infection,vector-borne disease","[{'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': 'DNA metabarcoding'}, {'subject': 'host'}, {'subject': 'vector'}, {'subject': 'parasite'}, {'subject': 'mosquito blood meals'}, {'subject': 'Plasmodium infection'}, {'subject': 'vector-borne disease'}]",['2124418312 bytes'],,,,,
+10.26302/sshade/experiment_lb_20221013_001,"Baseline corrected, average and normalized MIR transmission spectra of matrix fragments of UOC chondrites, pressed on diamonds under vacuum and at several temperatures",SSHADE/GhoSST (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.","MIR spectra of matrix fragments of A881607, ALHA76004, Bishunpur, BTN 00302, EET 83248, EET 90066, EET 90628, EET 96188, GRO 06054, GRO 95504, LEW 87248, LEW 87284, MCY 05218, MET00489, QUE 97008, RBT 04251, Semarkona, TIL 82048 UOC chondrites under vacuum and at 100°C and 300°C",mds,True,findable,0,0,0,0,0,2024-11-19T14:50:51.000Z,2024-11-19T14:50:52.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance,matrix ALHA76004 heated at 100°C,adsorbed water,matrix ALHA76004 heated at 300°C,matrix BTN00302 heated at 100°C,matrix BTN00302 heated at 300°C,matrix EET83248 heated at 100°C,matrix EET83248 heated at 300°C,matrix EET90066 heated at 100°C,matrix EET90066 heated at 300°C,matrix EET90628 heated at 100°C,matrix EET90628 heated at 300°C,matrix EET96188 heated at 100°C,matrix EET96188 heated at 300°C,matrix GRO06054 heated at 100°C,matrix GRO06054 heated at 300°C,matrix GRO95504 heated at 100°C,matrix GRO95504 heated at 300°C,matrix LEW87248 heated at 100°C,matrix LEW87248 heated at 300°C,matrix LEW87284 heated at 100°C,matrix LEW87284 heated at 300°C,matrix MCY05218 heated at 100°C,matrix MCY05218 heated at 300°C,matrix QUE97008 heated at 100°C,matrix QUE97008 heated at 300°C,matrix RBT04251 heated at 100°C,matrix RBT04251 heated at 300°C,matrix TIL82048 heated at 100°C,matrix TIL82048 heated at 300°C,matrix A881607,matrix A881607 heated at 250°C,matrix Bishunpur,matrix Bishunpur heated at 250°C,matrix Semarkona,matrix Semarkona heated at 250°C,extraterrestrial,complex organic-mineral mix,physically adsorbed phase","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'transmission', 'subjectScheme': 'main'}, {'subject': 'microscopy', 'subjectScheme': 'main'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'absorbance', 'subjectScheme': 'variables'}, {'subject': 'matrix ALHA76004 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'adsorbed water', 'subjectScheme': 'name'}, {'subject': 'matrix ALHA76004 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix BTN00302 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix BTN00302 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix EET83248 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix EET83248 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix EET90066 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix EET90066 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix EET90628 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix EET90628 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix EET96188 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix EET96188 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix GRO06054 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix GRO06054 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix GRO95504 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix GRO95504 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix LEW87248 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix LEW87248 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix LEW87284 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix LEW87284 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix MCY05218 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix MCY05218 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix QUE97008 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix QUE97008 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix RBT04251 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix RBT04251 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix TIL82048 heated at 100°C', 'subjectScheme': 'name'}, {'subject': 'matrix TIL82048 heated at 300°C', 'subjectScheme': 'name'}, {'subject': 'matrix A881607', 'subjectScheme': 'name'}, {'subject': 'matrix A881607 heated at 250°C', 'subjectScheme': 'name'}, {'subject': 'matrix Bishunpur', 'subjectScheme': 'name'}, {'subject': 'matrix Bishunpur heated at 250°C', 'subjectScheme': 'name'}, {'subject': 'matrix Semarkona', 'subjectScheme': 'name'}, {'subject': 'matrix Semarkona heated at 250°C', 'subjectScheme': 'name'}, {'subject': 'extraterrestrial', 'subjectScheme': 'origin'}, {'subject': 'complex organic-mineral mix', 'subjectScheme': 'compound type'}, {'subject': 'physically adsorbed phase', 'subjectScheme': 'compound type'}]",['34 spectra'],['ASCII'],,,"['IsPartOf', 'IsPartOf']",
+10.5281/zenodo.13904472,Mediterranean cyclones are a substantial cause of damaging floods in Corsica,Zenodo,2024,en,Text,Creative Commons Attribution 4.0 International,"This repository contains all the data and codes needed to reproduce the results and figures from the article ""Mediterranean cyclones are a substantial cause of damaging floods in Corsica"" published in Communications Earth & Environment.
+
+If you have any queries, please feel free to contact us at: yihua_zhong@scu.edu.cn
+
+Thank you very much ;-)",api,True,findable,0,0,0,1,1,2024-11-18T13:42:37.000Z,2024-11-18T13:42:37.000Z,cern.zenodo,cern,"Climatology,Natural disasters,Mediterranean cyclones,Floods","[{'subject': 'Climatology'}, {'subject': 'Natural disasters'}, {'subject': 'Mediterranean cyclones'}, {'subject': 'Floods'}]",,,,,"['IsSupplementTo', 'HasVersion']",
+10.12763/egl57a,Physicochemical properties and NMR characterization of propeline - precious metals systems,Recherche Data Gouv,2023,,Dataset,,"This dataset contains some physicochemical data characteristic of Propeline, a deep eutectic solvent that can be considered as an alternative to commmonly used Ethaline for electrometallurgy applications. Propeline is composed of choline chloride and propylene glycol. All data were compared to Ethaline 1:2 (choline chloride and ethylene glycol). The dataset contains : - density, viscosity and conductivity data, with the influence of water and propylene glycol contents ; - electrochemical stability and electrochemical systems of Ag, Pd and Au (voltammetry) - diffusion coefficients of Ag(I), Pd(II) and Au(I) determined by electrochemical technique (Berzins Delahay, voltammetry in silent conditions) - diffusion coefficients of the DESs components determined by NMR techniques (PFG, DOSY)",mds,True,findable,3,0,0,0,0,2023-10-02T09:03:51.000Z,2023-10-18T11:10:18.000Z,rdg.prod,rdg,,,,,,,"['HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart', 'HasPart']",
+10.5281/zenodo.14199068,Sulfate Isotope and geochemical ice core data from Dronning Maud Land over the penultimate glacial termination,Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Sulfur isotope data over the penultimate termination from the EPICA Dronning Maud Land (EDML) ice core as published in Fischer et al., Nature Geosciences, 2024. The file contains:
+
+
+
+measured geochemical and sulfur isotope data from the EDML ice core over the time interval 112-153 kyr before present
+
+deconvolution of different sulfur sources for the EDML ice core over the time interval 112-153 kyr before present
+
+reconstruction of atmospheric sulfate aerosol concentrations from the EDML ice core over the time interval 112-153 kyr before present
+
+measured geochemical and sulfur isotope data data from the shallow coastal B38 ice core over the time interval 1964-1968",api,True,findable,0,0,0,0,1,2024-11-21T17:34:38.000Z,2024-11-21T17:34:38.000Z,cern.zenodo,cern,"d34S,D33S,Dronning Maud Land,ice core,Antarctica,paleoclimate","[{'subject': 'd34S'}, {'subject': 'D33S'}, {'subject': 'Dronning Maud Land'}, {'subject': 'ice core'}, {'subject': 'Antarctica'}, {'subject': 'paleoclimate'}]",,,,,['HasVersion'],
+10.5281/zenodo.14199080,"Hydraulic tremor recorded at Tête Rousse Glacier, Mont-Blanc Massif",Zenodo,2024,en,Dataset,"Creative Commons Attribution 4.0 International,Creative Commons Attribution 4.0 International",Analysis of seismic tremor detected at Tête rousse Glacier in May 2022,api,True,findable,0,0,0,0,0,2024-11-21T17:25:11.000Z,2024-11-21T17:25:12.000Z,cern.zenodo,cern,"glacier,seismic tremor","[{'subject': 'glacier'}, {'subject': 'seismic tremor'}]",,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.14199080']]"
+10.34927/ccj.epi.14,Stèle fragmentaire (Saturne ?),Centre Camille Jullian,2024,,Collection,Creative Commons Attribution Non Commercial No Derivatives 4.0 International,,fabricaForm,True,findable,0,0,0,0,0,2024-11-22T10:07:24.000Z,2024-11-22T10:07:24.000Z,inist.ccj,jbru,FOS: History and archaeology,"[{'subject': 'FOS: History and archaeology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)', 'classificationCode': '6.1'}]",,,,,,
+10.5281/zenodo.13628539,Ground temperature time series in European mountain permafrost,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"RELATED PUBLICATION
+
+This dataset is related to the following publication:
+
+Noetzli J., Isaksen, K., Barnett, J., Chrisitiansen, H.H., Delaloye, R., Etzelmueller, B., Farinotti, D., Gallemann, T., Guglielmin, M., Hauck, C., Hilbich, C., Hoelzle, M., Lambiel, C., Magnin, F., Oliva, M., Paro, L, Pogliotti, P., Riedl, C., Schoeneich, P., M., Valt, M., Vieli A., Philliips, M. (in revision). Enhanced permafrost warming in Euro­pean mountains in the 21st century. Nature Communications.
+
+==> 
+
+For information on the measurements, selection criteria, processing information and data providers please refer to the methods, data availability and acknowledgements sections of the related publication ! 
+
+ 
+
+---------------------------------------------------------------------------------------------------------------------------
+
+CONTENT
+
+The dataset includes monthly and annual time series of ground temperatures measured in 64 boreholes in European mountain permafrost areas and corresponding metadata.
+
+Temporal coverage: at least 10 years until 2022
+
+Spatial coverage: European mountain regions (Svalbard, Scandinavia, Iceland, European Alps, Sierra Nevada)
+
+Depth of measurements: at least 10 m; for all boreholes data of the sensors closest to 5, 10 and 20 m depth are included
+
+Monthly means are calculated from daily values and annual values are derived from monthly mean values.
+
+ 
+
+---------------------------------------------------------------------------------------------------------------------------
+
+DATA COMPILATION
+
+The data were compiled to derive 10-year and 20-year warming rates in European mountain permafrost in the study by Noetzli et al. (in review, see above). Data were collected from national permafrost observation networks as well as from individual institutions (e.g, universities, environmental agencies).
+
+The aquisition of long time series over decades requires long-term committment from the responsible institutions to maintain instruments and to collect and curate the data. Details on the data source for each time series can be found in the metadata file as well as in the related publication. The main data sources by country are given in the list below.
+
+
+
+
+Country
+Data source (institution or national network)
+
+
+Austria
+GeoSphere Austria
+
+
+France
+Réseau français d'observation du permafrost (PermaFrance, permafrance.osug.fr)
+
+
+Germany
+Bavarian Environment Agency
+
+
+Iceland
+University of Oslo
+
+
+Italy
+ARPA Piemonte, ARPA Valle d'Aosta, ARPA Veneto, University of Insubria
+
+
+Norway
+Norwegian Permafrost Monitoring Network (cryo.met.no and sios-svalbard.org)
+
+
+Spain
+Universitat de Barcelona
+
+
+Svalbard
+Norwegian Permafrost Monitoring Network (cryo.met.no and sios-svalbard.org)
+
+
+Sweden
+University of Stockholm
+
+
+Switzerland
+Swiss Permafrost Monitoring Network PERMOS (http://www.permos.ch)
+
+
+
+
+ 
+
+---------------------------------------------------------------------------------------------------------------------------
+
+FILES AND FORMAT
+
+This data set includes three csv-files: 1) metadata with information on the measurement location and data provider2) monthly ground temperature time series and 3) annual ground temperature time series. 
+
+The variables in the three files are described below. Data files are in long data format.
+
+File 1 – borehole_overview.csvKey information on the boreholes, responsible institutions and contact persons.
+
+
+
+
+Variable
+Description
+
+
+Name
+Name of the borehole (as used in the related study)
+
+
+Country
+Alpha-2 code
+
+
+Region
+Larger region
+
+
+First_year
+First year of data
+
+
+Elevation [m asl.]
+Elevation of the borehole
+
+
+Lat [° N]
+Latitude
+
+
+Lon [° E]
+Longitude
+
+
+Depth [m]
+Total depth of the borehole
+
+
+DZAA [m]
+Depth of the Zero Annual Amplitude (uppermost sensor with annual amplitude ≤0.1)
+
+
+Phase lag
+Phase lag at 10 m depth compared to surface in months
+
+
+Morphology
+Main morphology of the site
+
+
+Surface_cover
+Main surface cover at the site
+
+
+Lithology
+Main lithology of the site
+
+
+Ice_content
+Basic classification by ground ice content at the site (no ice, ice-poor, ice-bearing, ice-rich), see publication for details
+
+
+Institution
+Responsible institution (in the year 2024)
+
+
+Contact_person
+Contact person (in the year 2024)
+
+
+Special_remarks
+Remarks on location, e.g. horizontal borehole
+
+
+
+
+ 
+
+File 2 – permafrost_temperatures_european_mountains_monthly_2022.csvTime series of monthly mean ground temperatures at ca. 5, 10 and 20 m depth for 64 boreholes in European mountain permafrost until 2022.
+
+
+
+
+Variable
+Description
+
+
+bh
+Name of the borehole
+
+
+time [YYYY-MM-DD]
+Date
+
+
+depth [m]
+Depth of measurement
+
+
+temp [°C]
+Monthly mean ground temperature (aggregated from daily values)
+
+
+t_min [°C]
+Minimum daily ground temperature of the year
+
+
+t_max [°C]
+Maximum daily ground temperature of the year
+
+
+count
+Number of daily values available to calculate monthly mean values
+
+
+dclass [5, 10 or 20 m]
+Depth class defined for analyses in related study
+
+
+
+
+ 
+
+File 3 – permafrost_temperatures_european_mountains_annual_2022.csvTime series of annual mean ground temperatures at ca. 5, 10 and 20 m depth for 64 boreholes in European mountain permafrost until 2022.
+
+
+
+
+Variable
+Description
+
+
+bh
+Name of the borehole
+
+
+time [YYYY]
+Year
+
+
+depth [m]
+Depth of measurement
+
+
+temp [°C]
+Annual mean ground temperature (aggregated from monthly values)
+
+
+t_min [°C]
+Minimum monthly ground temperature of the year
+
+
+t_max [°C]
+Maximum monthlyground temperature of the year
+
+
+count
+Number of monthly values available to calculate annual mean values
+
+
+dclass [5, 10 or 20 m]
+Depth class defined for analyses in related study
+
+
+
+
+ 
+
+---------------------------------------------------------------------------------------------------------------------------
+
+CONTACT
+
+For question related to this dataset please contact the corresponding author: jeannette.noetzli@slf.ch. For questions related to a specific time series, see metadata for contact information.",api,True,findable,0,0,0,0,0,2024-11-18T07:58:17.000Z,2024-11-18T07:58:17.000Z,cern.zenodo,cern,"permafrost temperature,mountain permafrost","[{'subject': 'permafrost temperature'}, {'subject': 'mountain permafrost'}]",,,,,"['IsRequiredBy', 'HasVersion']","[['IsVersionOf', '10.5281/zenodo.13628539']]"
+10.5061/dryad.8sf7m0czw,Supporting data from: Transport phase diagram and anomalous metallicity in superconducting infinite-layer nickelates,Dryad,2024,en,Dataset,Creative Commons Zero v1.0 Universal,"Despite obvious similarities in their electronic and crystallographic
+ structures, it remains unclear whether the interactions that shape the
+ normal and superconducting (SC) state properties of high-Tc cuprates and
+ infinite-layer nickelates (ILNs) have the same origin. This question has
+ been brought into sharper focus with recent studies on ILNs of improved
+ crystallinity that reveal a SC dome of comparable extent and similar
+ transport properties above Tc as the hole-doped cuprates. The evolution of
+ these properties in the magnetic-field-induced normal state, however, has
+ yet to be determined. Here, we examine the magnetotransport properties
+ of new-generation Nd1-xSrxNiO2 films in the T → 0 limit across the phase
+ diagram in fields up to 54 T. This extensive study reveals that the
+ limiting low-T form of the normal-state resistivity in ILNs exhibits
+ non-Fermi-liquid behaviour over an extended doping range inside the SC
+ dome, rather than at a singular quantum critical point. While there are
+ clear differences in the charge dynamics of ILNs and cuprates, most
+ notably in the magnetoresistance, our findings reveal that both systems
+ exhibit anomalous metallicity characteristic of a quantum critical phase.",mds,True,findable,0,0,0,0,0,2024-11-21T13:32:12.000Z,2024-11-21T13:32:13.000Z,dryad.dryad,dryad,"FOS: Physical sciences,FOS: Physical sciences,Superconductors,Transport phenomena,Oxides","[{'subject': 'FOS: Physical sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Physical sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Superconductors', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Transport phenomena', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'Oxides', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}]",['2055300 bytes'],,,,,
+10.1594/pangaea.967492,Oxygenated bottom water conditions on Broken Ridge (central Indian Ocean) in the last 9 million years,PANGAEA,2024,,Dataset,Creative Commons Attribution 4.0 International,"The late Miocene and early Pliocene were marked by widespread oxygen depletion in the Pacific and Indian Oceans in conjunction with the so-called ""Late Miocene Biogenic Bloom"" (LMBB). As the oxygen depletion progressed, it was accompanied by an oxygen minimum zone (OMZ) expansion, hypothesized to extend as far south as Broken Ridge (31°S), Indian Ocean. Here, we used benthic foraminiferal (BF) assemblage from Ocean Drilling Program (ODP) Site 752 (ODP Expedition 121) to reconstruct the bottom water dissolved oxygen concentration on Broken Ridge during the last 9 million years. Taxonomic analyses on the >63μm fraction allowed the identification of 93 BF species and reported as benthic foraminifera row counts. The relative frequencies derived from BF row counts were used to determine diversity using the Fisher Alpha index and dissolved oxygen concentration was reconstructed using the Enhanced Benthic Foraminifera Oxygen Index. Benthic foraminifera with abundances below 5% across all samples were removed before statistical analysis to retain a robust signal of BF distribution without single and scattered occurrences. High abundance BF was reported in the grouped benthic foraminifera counts. Our results indicate well-oxygenated (dissolved oxygen concentration >3ml/L) bottom water conditions in the last 9 million years.",mds,True,findable,0,0,0,0,0,2024-11-23T03:10:01.000Z,2024-11-23T03:10:01.000Z,pangaea.repository,pangaea,"Benthic foraminifera assemblages,Biogenic bloom,Late Miocene,OMZ,Tasman Leakage,Sample code/label,DEPTH, sediment/rock,AGE,Amphicoryna scalaris,Anomalinoides globulosus,Anomalinoides spp.,Bolivina cf. viennensis,Bolivina reticulata,Bolivina spathulata,Bolivinellina translucens,Bulimina striata,Bulimina truncana,Buliminella spp.,Cassidulina laevigata,Cibicidoides bradyi,Cibicidoides mundulus,Cibicidoides wuellerstorfi,Cibicidoides sp.,Clavulina sp.,Cushmanina plumigera,Chrysalogonium deceptorium,Chrysalogonium equisetiformis,Dentalina bene,Eggerella bradyi,Ehrenbergina carinata,Favulina hexagona,Favulina squamosa,Fissurina sp.,Fissurina spp.,Fursenkoina sp.,Gavelinopsis praegeri,Glandulina cf. ovula,Glandulonodosaria ambigua,Globocassidulina subglobosa,Gyroidina altiformis,Gyroidina soldanii,Gyroidina sp.,Hanzawaia boueana,Hoeglundina elegans,Karreriella bradyi,Karreriella sp.,Lagena sp.,Lagena hispida,Lagena nebulosa,Lagena striata,Laticarinina pauperata,Lenticulina calcar,Lenticulina cultrata,Lenticulina sp.,Lobatula lobatula,Melonis affinis,Melonis sp.,Nodosaria spp.,Obesopleurostomella brevis,Oridorsalis umbonatus,Orthomorphina perversa,Orthomorphina sp.,Osangularia culter,Planulina sp.,Pleurostomella acuminata,Pleurostomella sp.,Pullenia bulloides,Pullenia quinqueloba,Pyrgoella sphaera,Quinqueloculina seminulum,Quinqueloculina sp.,Rectuvigerina cf. phlegeri,Rectuvigerina sp.,Rectuvigerina striata,Siphonodosaria consobrina,Siphonodosaria hispidula,Siphonodosaria lepidula,Siphonodosaria pomuligera,Siphonodosaria sp.,Siphonodosaria spp.,Siphonodosaria subspinosa,Siphouvigerina hispida,Spiroloculina rotunda,Spiroplectinella sp.,Spirosigmoilina tenuis,Sphaeroidina bulloides,Strictocostella scharbergana,Strictocostella modesta,Strictocostella sp.,Textularia sp.,Trifarina angulosa,Trifarina bradyi,Trifarina sp.,Uvigerina auberiana,Uvigerina peregrina,Uvigerina sp.,Rotaliidae,Foraminifera, benthic, total,Drilling/drill rig,DSDP/ODP/IODP sample designation,IODP Depth Scale Terminology,Counting >63 µm fraction,Leg121,Joides Resolution","[{'subject': 'Benthic foraminifera assemblages'}, {'subject': 'Biogenic bloom'}, {'subject': 'Late Miocene'}, {'subject': 'OMZ'}, {'subject': 'Tasman Leakage'}, {'subject': 'Sample code/label', 'subjectScheme': 'Parameter'}, {'subject': 'DEPTH, sediment/rock', 'subjectScheme': 'Parameter'}, {'subject': 'AGE', 'subjectScheme': 'Parameter'}, {'subject': 'Amphicoryna scalaris', 'subjectScheme': 'Parameter'}, {'subject': 'Anomalinoides globulosus', 'subjectScheme': 'Parameter'}, {'subject': 'Anomalinoides spp.', 'subjectScheme': 'Parameter'}, {'subject': 'Bolivina cf. viennensis', 'subjectScheme': 'Parameter'}, {'subject': 'Bolivina reticulata', 'subjectScheme': 'Parameter'}, {'subject': 'Bolivina spathulata', 'subjectScheme': 'Parameter'}, {'subject': 'Bolivinellina translucens', 'subjectScheme': 'Parameter'}, {'subject': 'Bulimina striata', 'subjectScheme': 'Parameter'}, {'subject': 'Bulimina truncana', 'subjectScheme': 'Parameter'}, {'subject': 'Buliminella spp.', 'subjectScheme': 'Parameter'}, {'subject': 'Cassidulina laevigata', 'subjectScheme': 'Parameter'}, {'subject': 'Cibicidoides bradyi', 'subjectScheme': 'Parameter'}, {'subject': 'Cibicidoides mundulus', 'subjectScheme': 'Parameter'}, {'subject': 'Cibicidoides wuellerstorfi', 'subjectScheme': 'Parameter'}, {'subject': 'Cibicidoides sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Clavulina sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Cushmanina plumigera', 'subjectScheme': 'Parameter'}, {'subject': 'Chrysalogonium deceptorium', 'subjectScheme': 'Parameter'}, {'subject': 'Chrysalogonium equisetiformis', 'subjectScheme': 'Parameter'}, {'subject': 'Dentalina bene', 'subjectScheme': 'Parameter'}, {'subject': 'Eggerella bradyi', 'subjectScheme': 'Parameter'}, {'subject': 'Ehrenbergina carinata', 'subjectScheme': 'Parameter'}, {'subject': 'Favulina hexagona', 'subjectScheme': 'Parameter'}, {'subject': 'Favulina squamosa', 'subjectScheme': 'Parameter'}, {'subject': 'Fissurina sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Fissurina spp.', 'subjectScheme': 'Parameter'}, {'subject': 'Fursenkoina sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Gavelinopsis praegeri', 'subjectScheme': 'Parameter'}, {'subject': 'Glandulina cf. ovula', 'subjectScheme': 'Parameter'}, {'subject': 'Glandulonodosaria ambigua', 'subjectScheme': 'Parameter'}, {'subject': 'Globocassidulina subglobosa', 'subjectScheme': 'Parameter'}, {'subject': 'Gyroidina altiformis', 'subjectScheme': 'Parameter'}, {'subject': 'Gyroidina soldanii', 'subjectScheme': 'Parameter'}, {'subject': 'Gyroidina sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Hanzawaia boueana', 'subjectScheme': 'Parameter'}, {'subject': 'Hoeglundina elegans', 'subjectScheme': 'Parameter'}, {'subject': 'Karreriella bradyi', 'subjectScheme': 'Parameter'}, {'subject': 'Karreriella sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Lagena sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Lagena hispida', 'subjectScheme': 'Parameter'}, {'subject': 'Lagena nebulosa', 'subjectScheme': 'Parameter'}, {'subject': 'Lagena striata', 'subjectScheme': 'Parameter'}, {'subject': 'Laticarinina pauperata', 'subjectScheme': 'Parameter'}, {'subject': 'Lenticulina calcar', 'subjectScheme': 'Parameter'}, {'subject': 'Lenticulina cultrata', 'subjectScheme': 'Parameter'}, {'subject': 'Lenticulina sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Lobatula lobatula', 'subjectScheme': 'Parameter'}, {'subject': 'Melonis affinis', 'subjectScheme': 'Parameter'}, {'subject': 'Melonis sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Nodosaria spp.', 'subjectScheme': 'Parameter'}, {'subject': 'Obesopleurostomella brevis', 'subjectScheme': 'Parameter'}, {'subject': 'Oridorsalis umbonatus', 'subjectScheme': 'Parameter'}, {'subject': 'Orthomorphina perversa', 'subjectScheme': 'Parameter'}, {'subject': 'Orthomorphina sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Osangularia culter', 'subjectScheme': 'Parameter'}, {'subject': 'Planulina sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Pleurostomella acuminata', 'subjectScheme': 'Parameter'}, {'subject': 'Pleurostomella sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Pullenia bulloides', 'subjectScheme': 'Parameter'}, {'subject': 'Pullenia quinqueloba', 'subjectScheme': 'Parameter'}, {'subject': 'Pyrgoella sphaera', 'subjectScheme': 'Parameter'}, {'subject': 'Quinqueloculina seminulum', 'subjectScheme': 'Parameter'}, {'subject': 'Quinqueloculina sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Rectuvigerina cf. phlegeri', 'subjectScheme': 'Parameter'}, {'subject': 'Rectuvigerina sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Rectuvigerina striata', 'subjectScheme': 'Parameter'}, {'subject': 'Siphonodosaria consobrina', 'subjectScheme': 'Parameter'}, {'subject': 'Siphonodosaria hispidula', 'subjectScheme': 'Parameter'}, {'subject': 'Siphonodosaria lepidula', 'subjectScheme': 'Parameter'}, {'subject': 'Siphonodosaria pomuligera', 'subjectScheme': 'Parameter'}, {'subject': 'Siphonodosaria sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Siphonodosaria spp.', 'subjectScheme': 'Parameter'}, {'subject': 'Siphonodosaria subspinosa', 'subjectScheme': 'Parameter'}, {'subject': 'Siphouvigerina hispida', 'subjectScheme': 'Parameter'}, {'subject': 'Spiroloculina rotunda', 'subjectScheme': 'Parameter'}, {'subject': 'Spiroplectinella sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Spirosigmoilina tenuis', 'subjectScheme': 'Parameter'}, {'subject': 'Sphaeroidina bulloides', 'subjectScheme': 'Parameter'}, {'subject': 'Strictocostella scharbergana', 'subjectScheme': 'Parameter'}, {'subject': 'Strictocostella modesta', 'subjectScheme': 'Parameter'}, {'subject': 'Strictocostella sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Textularia sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Trifarina angulosa', 'subjectScheme': 'Parameter'}, {'subject': 'Trifarina bradyi', 'subjectScheme': 'Parameter'}, {'subject': 'Trifarina sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Uvigerina auberiana', 'subjectScheme': 'Parameter'}, {'subject': 'Uvigerina peregrina', 'subjectScheme': 'Parameter'}, {'subject': 'Uvigerina sp.', 'subjectScheme': 'Parameter'}, {'subject': 'Rotaliidae', 'subjectScheme': 'Parameter'}, {'subject': 'Foraminifera, benthic, total', 'subjectScheme': 'Parameter'}, {'subject': 'Drilling/drill rig', 'subjectScheme': 'Method'}, {'subject': 'DSDP/ODP/IODP sample designation', 'subjectScheme': 'Method'}, {'subject': 'IODP Depth Scale Terminology', 'subjectScheme': 'Method'}, {'subject': 'Counting >63 µm fraction', 'subjectScheme': 'Method'}, {'subject': 'Leg121', 'subjectScheme': 'Campaign'}, {'subject': 'Joides Resolution', 'subjectScheme': 'Basis'}]",['1824 data points'],['text/tab-separated-values'],,,,