Execution du pipeline. Actualisation des dois et des graphes.

1-enrich-with-datacite/all_datacite_clients_for_uga.csv

 client,count,name,year,url
-cern.zenodo,756,Zenodo,2013,https://zenodo.org/
-inist.sshade,481,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
+cern.zenodo,759,Zenodo,2013,https://zenodo.org/
+inist.sshade,484,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
 figshare.ars,352,figshare Academic Research System,2016,http://figshare.com/
 inist.osug,238,Observatoire des Sciences de l'Univers de Grenoble,2014,http://doi.osug.fr
 dryad.dryad,162,DRYAD,2018,https://datadryad.org
 inist.resif,92,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
 inist.humanum,59,NAKALA,2020,https://nakala.fr
-inist.persyval,57,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
-rdg.prod,57,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
+inist.persyval,59,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
+rdg.prod,58,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
 fmsh.prod,28,Fondation Maison des sciences de l'homme,2023,
 mcdy.dohrmi,12,dggv-e-publications,2020,https://www.dggv.de/publikationen/dggv-e-publikationen.html
 figshare.sage,6,figshare SAGE Publications,2018,
 iris.iris,5,Incorporated Research Institutions for Seismology,2018,http://www.iris.edu/hq/
-tib.gfzbib,3,GFZpublic,2011,https://gfzpublic.gfz-potsdam.de
 tib.repod,3,RepOD,2015,https://repod.icm.edu.pl/
+tib.gfzbib,3,GFZpublic,2011,https://gfzpublic.gfz-potsdam.de
 vqpf.dris,3,Direction des ressources et de l'information scientifique,2021,
+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
 cnic.sciencedb,2,ScienceDB,2022,https://www.scidb.cn/en
-bl.nerc,2,NERC Environmental Data Service,2011,https://eds.ukri.org
-tug.openlib,1,TU Graz OPEN Library,2020,https://openlib.tugraz.at/
+pangaea.repository,2,PANGAEA,2020,https://www.pangaea.de/
+ethz.sed,2,"Swiss Seismological Service, national earthquake monitoring and hazard center",2013,http://www.seismo.ethz.ch
+crui.ingv,1,Istituto Nazionale di Geofisica e Vulcanologia (INGV),2013,http://data.ingv.it/
+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
-crui.ingv,1,Istituto Nazionale di Geofisica e Vulcanologia (INGV),2013,http://data.ingv.it/
 repod.dbuw,1,University of Warsaw Research Data Repository,2023,https://danebadawcze.uw.edu.pl/
-inist.opgc,1,Observatoire de Physique du Globe de Clermont-Ferrand,2017,
+tug.openlib,1,TU Graz OPEN Library,2020,https://openlib.tugraz.at/
 ethz.da-rd,1,ETHZ Data Archive - Research Data,2013,http://data-archive.ethz.ch
 inist.eost,1,Ecole et Observatoire des Sciences de la Terre,2017,https://eost.unistra.fr/en/
-ethz.zora,1,"Universität Zürich, ZORA",2013,https://www.zora.uzh.ch/
+inist.opgc,1,Observatoire de Physique du Globe de Clermont-Ferrand,2017,
+inist.omp,1,Observatoire Midi-Pyrénées,2011,
 ihumi.pub,1,IHU Méditerranée Infection,2020,
 bl.mendeley,1,Mendeley Data,2015,https://data.mendeley.com/
-inist.omp,1,Observatoire Midi-Pyrénées,2011,
 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

1-enrich-with-datacite/nb-dois.txt

-2339
+2350
\ No newline at end of file

dois-uga--last-500.csv

 doi,client,resourceTypeGeneral,created,publisher,rights,sizes
+10.5281/zenodo.11108225,cern.zenodo,Dataset,2024-09-08,Zenodo,Creative Commons Attribution 4.0 International,
+10.26302/sshade/experiment_lb_20240830_002,inist.sshade,Dataset,2024-09-05,SSHADE/GhoSST (OSUG Data Center),"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",['2 spectra']
+10.26302/sshade/experiment_lb_20240830_001,inist.sshade,Dataset,2024-09-05,SSHADE/GhoSST (OSUG Data Center),"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",['2 spectra']
+10.1594/pangaea.972147,pangaea.repository,Dataset,2024-09-03,PANGAEA,Creative Commons Attribution 4.0 International,['1160 data points']
+10.1594/pangaea.972146,pangaea.repository,Dataset,2024-09-03,PANGAEA,Creative Commons Attribution 4.0 International,['1218 data points']
+10.26302/sshade/experiment_lb_20221024_001,inist.sshade,Dataset,2024-09-03,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.",['147 spectra']
+10.57745/ifejl8,rdg.prod,Dataset,2024-09-02,Recherche Data Gouv,,
+10.18709/perscido.2024.09.ds375,inist.persyval,Dataset,2024-09-02,PerSCiDO,,['10 Mo']
+10.18709/perscido.2024.09.ds373,inist.persyval,Dataset,2024-09-02,PerSCiDO,,['10 Mo']
+10.5281/zenodo.13619595,cern.zenodo,Dataset,2024-09-02,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.13621502,cern.zenodo,Dataset,2024-08-31,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.12783623,cern.zenodo,Dataset,2024-08-30,Zenodo,Creative Commons Attribution 4.0 International,
 10.26302/sshade/experiment_hm_20240726_001,inist.sshade,Dataset,2024-08-29,SSHADE/DOCCD (OSUG Data Center),"Any use of downloaded SSHADE data in a scientific or technical paper or a presentation is free but you should cite both SSHADE and the used data in the text ( 'first author' et al., year) with its full reference (with its DOI) in the main reference section of the paper (or in a special 'data citation' section) and, when available, the original paper(s) presenting the data.",['2 spectra']
+10.5281/zenodo.13471041,cern.zenodo,Dataset,2024-08-29,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.13381664,cern.zenodo,Dataset,2024-08-27,Zenodo,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.12732929,cern.zenodo,Dataset,2024-08-27,Zenodo,Creative Commons Attribution 4.0 International,
 10.18709/perscido.2024.08.ds370,inist.persyval,Dataset,2024-08-27,PerSCiDO,,['10 Mo']
@@ -87,8 +98,8 @@ 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,
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 10.6084/m9.figshare.c.6683920,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
@@ -104,8 +115,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 10.6084/m9.figshare.26585823,figshare.ars,Text,2024-08-13,figshare,Creative Commons Attribution 4.0 International,['11099 Bytes']
 10.6084/m9.figshare.c.6596504,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
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-10.6084/m9.figshare.26567603,figshare.ars,Text,2024-08-13,figshare,Creative Commons Attribution 4.0 International,['360541 Bytes']
 10.6084/m9.figshare.c.6586928,figshare.ars,Collection,2024-08-13,figshare,Creative Commons Attribution 4.0 International,
+10.6084/m9.figshare.26567603,figshare.ars,Text,2024-08-13,figshare,Creative Commons Attribution 4.0 International,['360541 Bytes']
 10.15778/resif.z42022,inist.resif,Dataset,2024-08-12,RESIF - Réseau Sismologique et géodésique Français,,"['98 stations, 280Go (miniseed format)']"
 10.12686/eshm20-output,ethz.sed,Dataset,2024-08-12,EFEHR (European Facilities of Earthquake Hazard and Risk),Creative Commons Attribution 4.0 International,['529MB']
 10.5281/zenodo.7447726,cern.zenodo,Dataset,2024-08-12,Zenodo,Creative Commons Attribution 4.0 International,
@@ -119,8 +130,8 @@ 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,
@@ -323,8 +334,8 @@ 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.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.25341247,figshare.ars,Dataset,2024-03-05,figshare,Creative Commons Attribution 4.0 International,['29389796 Bytes']
 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']
@@ -393,8 +404,8 @@ doi,client,resourceTypeGeneral,created,publisher,rights,sizes
 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.7009820,figshare.ars,Collection,2024-01-05,figshare,Creative Commons Attribution 4.0 International,
 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,,
@@ -526,14 +537,3 @@ This research has made use of spectroscopic and collisional data from the EMAA d
 10.17632/s62jkk3fkt,bl.mendeley,Dataset,2023-11-16,Mendeley Data,Creative Commons Attribution 4.0 International,
 10.5281/zenodo.8140117,cern.zenodo,Dataset,2023-11-15,Zenodo,Creative Commons Attribution Non Commercial 2.0 Generic,
 10.5281/zenodo.10117555,cern.zenodo,Dataset,2023-11-13,Zenodo,Creative Commons Attribution Share Alike 4.0 International,
-10.26302/sshade/experiment_jc_20220615_001,inist.sshade,Dataset,2023-11-10,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.",['13 spectra']
-10.5061/dryad.9kd51c5q1,dryad.dryad,Dataset,2023-11-09,Dryad,Creative Commons Zero v1.0 Universal,['10743530697 bytes']
-10.5281/zenodo.6482586,cern.zenodo,Audiovisual,2023-11-08,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.6620358,cern.zenodo,Dataset,2023-11-06,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.8269854,cern.zenodo,Dataset,2023-11-05,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10069275,cern.zenodo,Dataset,2023-11-03,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.10055461,cern.zenodo,Dataset,2023-11-03,Zenodo,Creative Commons Attribution 4.0 International,
-10.6084/m9.figshare.c.6910186,figshare.ars,Collection,2023-11-02,figshare,Creative Commons Attribution 4.0 International,
-10.6084/m9.figshare.24483508,figshare.ars,Text,2023-11-02,figshare,Creative Commons Attribution 4.0 International,['61375 Bytes']
-10.5281/zenodo.10061546,cern.zenodo,Image,2023-11-01,Zenodo,Creative Commons Attribution 4.0 International,
-10.5281/zenodo.7487189,cern.zenodo,Dataset,2023-10-31,Zenodo,Other (Open),

dois-uga.csv

@@ -10813,3 +10813,26 @@ pytorch model parameters
 See README.txt for more information about the file strucutre.",api,True,findable,0,0,0,0,1,2024-08-27T22:01:42.000Z,2024-08-27T22:01:42.000Z,cern.zenodo,cern,,,,,,,"['IsDerivedFrom', 'HasVersion']",
+10.26302/sshade/experiment_lb_20240830_001,NIR-MIR reflectance spectra of sublimation residue of Phobos regolith simulants OPPS and UTPS-TB,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 (1.2-19.9 µm) reflectance spectra (i=0°, e=30°, az=0°) acquired with a biconical reflectance kit on a FTIR instrument of two sublimation residues of Phobos simulants",mds,True,findable,0,0,0,0,0,2024-09-05T15:28:08.000Z,2024-09-05T15:28:08.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,macroscopic,NIR,Near-Infrared,MIR,Mid-Infrared,reflectance factor,mineral,laboratory","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'transmission', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}]",['2 spectra'],['ASCII'],,,"['IsPartOf', 'IsPartOf']",
+10.1594/pangaea.972147,High-resolution atmospheric CH4 records derived from the EPICA Dome C ice core covering 260-190ka (MIS 8a - 7a),PANGAEA,2024,,Dataset,Creative Commons Attribution 4.0 International,"High-resolution atmospheric methane (CH4) records derived from the European Project for Ice Coring in Antarctica (EPICA) Dome C ice core covering Marine Isotope Stage (MIS) 8a - 7a (~260 - 190 ka). The CO2 data were measured at an average temporal resolution of ~340 years using the Ball Mill dry-extraction system at the Institut des Géosciences de l'Environnement (IGE), Univ. Grenoble Alpes, France. The CH4 data were measured at IGE, improving the temporal resolution of existing data previously published by the same laboratory and the Bern laboratories during three specific time periods of MIS 8a - 7a (201.9 - 200.9 ka; 204.1 - 205.9 ka; 249.6 - 250.4 ka).",mds,True,findable,0,0,3,1,0,2024-09-03T09:38:20.000Z,2024-09-03T09:38:20.000Z,pangaea.repository,pangaea,"Antarctica,CH4,Greenhouse gases,Ice core,MIS 7,MIS 8,DEPTH, ice/snow,AGE,Methane,Methane, uncertainty,Reference/source,Laboratory,Drilling/drill rig,Antarctic ice core chronology (AICC2023),European Project for Ice Coring in Antarctica (EPICA)","[{'subject': 'Antarctica'}, {'subject': 'CH4'}, {'subject': 'Greenhouse gases'}, {'subject': 'Ice core'}, {'subject': 'MIS 7'}, {'subject': 'MIS 8'}, {'subject': 'DEPTH, ice/snow', 'subjectScheme': 'Parameter'}, {'subject': 'AGE', 'subjectScheme': 'Parameter'}, {'subject': 'Methane', 'subjectScheme': 'Parameter'}, {'subject': 'Methane, uncertainty', 'subjectScheme': 'Parameter'}, {'subject': 'Reference/source', 'subjectScheme': 'Parameter'}, {'subject': 'Laboratory', 'subjectScheme': 'Parameter'}, {'subject': 'Drilling/drill rig', 'subjectScheme': 'Method'}, {'subject': 'Antarctic ice core chronology (AICC2023)', 'subjectScheme': 'Method'}, {'subject': 'European Project for Ice Coring in Antarctica (EPICA)', 'subjectScheme': 'Project'}]",['1160 data points'],['text/tab-separated-values'],,,"['References', 'References', 'References']",
+10.26302/sshade/experiment_lb_20221024_001,MIR absorbance spectra of pressed matrix grains from CR chondrites at varaible conditions of temperature and pressure,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.","Raw MIR absorbance spectra of several matrix grains of CR chondrites (EET92042, GRO95577, NWA14700, LAP04720, MAC87320, MET00426, MIL090657, NWA14499, NWA13724, QUE99177, QUE94603, PCA91082 and NWA14250) pressed on a diamond window and measured under ambient P and T conditions and/or under vacuum at ambient temperature and/or 250°C",mds,True,findable,0,0,0,0,0,2024-09-03T08:55:18.000Z,2024-09-03T08:55:18.000Z,inist.sshade,mgeg,"laboratory measurement,transmission,microscopy,MIR,Mid-Infrared,absorbance,matrix EET92042,adsorbed phase,matrix GRO95577,matrix GRO95577 heated at 250°C under vacuum,matrix LAP02342,matrix LAP02342 heated at 250°C under vacuum,matrix LAP04720,matrix LAP04720 heated at 250°C under vacuum,matrix MAC87320 heated at 250°C under vacuum,matrix MET00426,matrix MIL090001 heated at 250°C under vacuum,matrix MIL090657 put under vacuum,matrix NWA13724 heated at 250°C under vacuum,matrix NWA14250 heated at 250°C under vacuum,matrix NWA14499 heated at 250°C under vacuum,matrix NWA14700 heated at 250°C under vacuum,matrix PCA91082 heated at 250°C under vacuum,matrix QUE94603,matrix QUE99177,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 EET92042', 'subjectScheme': 'name'}, {'subject': 'adsorbed phase', 'subjectScheme': 'name'}, {'subject': 'matrix GRO95577', 'subjectScheme': 'name'}, {'subject': 'matrix GRO95577 heated at 250°C under vacuum', 'subjectScheme': 'name'}, {'subject': 'matrix LAP02342', 'subjectScheme': 'name'}, {'subject': 'matrix LAP02342 heated at 250°C under vacuum', 'subjectScheme': 'name'}, {'subject': 'matrix LAP04720', 'subjectScheme': 'name'}, {'subject': 'matrix LAP04720 heated at 250°C under vacuum', 'subjectScheme': 'name'}, {'subject': 'matrix MAC87320 heated at 250°C under vacuum', 'subjectScheme': 'name'}, {'subject': 'matrix MET00426', 'subjectScheme': 'name'}, {'subject': 'matrix MIL090001 heated at 250°C under vacuum', 'subjectScheme': 'name'}, {'subject': 'matrix MIL090657 put under vacuum', 'subjectScheme': 'name'}, {'subject': 'matrix NWA13724 heated at 250°C under vacuum', 'subjectScheme': 'name'}, {'subject': 'matrix NWA14250 heated at 250°C under vacuum', 'subjectScheme': 'name'}, {'subject': 'matrix NWA14499 heated at 250°C under vacuum', 'subjectScheme': 'name'}, {'subject': 'matrix NWA14700 heated at 250°C under vacuum', 'subjectScheme': 'name'}, {'subject': 'matrix PCA91082 heated at 250°C under vacuum', 'subjectScheme': 'name'}, {'subject': 'matrix QUE94603', 'subjectScheme': 'name'}, {'subject': 'matrix QUE99177', 'subjectScheme': 'name'}, {'subject': 'extraterrestrial', 'subjectScheme': 'origin'}, {'subject': 'complex organic-mineral mix', 'subjectScheme': 'compound type'}, {'subject': 'physically adsorbed phase', 'subjectScheme': 'compound type'}]",['147 spectra'],['ASCII'],,,"['IsPartOf', 'IsPartOf', 'IsSourceOf', 'Cites']",
+10.1594/pangaea.972146,High-resolution atmospheric CO2 records derived from the EPICA Dome C ice core covering 260-190ka (MIS 8a - 7a),PANGAEA,2024,,Dataset,Creative Commons Attribution 4.0 International,"High-resolution atmospheric carbon dioxide (CO2) records derived from the European Project for Ice Coring in Antarctica (EPICA) Dome C ice core covering Marine Isotope Stage (MIS) 8a - 7a (~260 - 190 ka). The CO2 data were measured at an average temporal resolution of ~340 years using the Ball Mill dry-extraction system at the Institut des Géosciences de l'Environnement (IGE), Univ. Grenoble Alpes, France. The CH4 data were measured at IGE, improving the temporal resolution of existing data previously published by the same laboratory and the Bern laboratories during three specific time periods of MIS 8a - 7a (201.9 - 200.9 ka; 204.1 - 205.9 ka; 249.6 - 250.4 ka).",mds,True,findable,0,0,3,1,0,2024-09-03T09:38:13.000Z,2024-09-03T09:38:14.000Z,pangaea.repository,pangaea,"Antarctica,CO2,Greenhouse gases,Ice core,MIS 7,MIS 8,DEPTH, ice/snow,AGE,Carbon dioxide,Carbon dioxide, uncertainty,Reference/source,Laboratory,Drilling/drill rig,Antarctic ice core chronology (AICC2023),Ball Mill dry-extraction system,Corrected,European Project for Ice Coring in Antarctica (EPICA)","[{'subject': 'Antarctica'}, {'subject': 'CO2'}, {'subject': 'Greenhouse gases'}, {'subject': 'Ice core'}, {'subject': 'MIS 7'}, {'subject': 'MIS 8'}, {'subject': 'DEPTH, ice/snow', 'subjectScheme': 'Parameter'}, {'subject': 'AGE', 'subjectScheme': 'Parameter'}, {'subject': 'Carbon dioxide', 'subjectScheme': 'Parameter'}, {'subject': 'Carbon dioxide, uncertainty', 'subjectScheme': 'Parameter'}, {'subject': 'Reference/source', 'subjectScheme': 'Parameter'}, {'subject': 'Laboratory', 'subjectScheme': 'Parameter'}, {'subject': 'Drilling/drill rig', 'subjectScheme': 'Method'}, {'subject': 'Antarctic ice core chronology (AICC2023)', 'subjectScheme': 'Method'}, {'subject': 'Ball Mill dry-extraction system', 'subjectScheme': 'Method'}, {'subject': 'Corrected', 'subjectScheme': 'Method'}, {'subject': 'European Project for Ice Coring in Antarctica (EPICA)', 'subjectScheme': 'Project'}]",['1218 data points'],['text/tab-separated-values'],,,"['References', 'References', 'References']",
+10.57745/ifejl8,Prediction of the structure of polymer-coated cardboards produced by thermocompression using I-optimal design of experiment,Recherche Data Gouv,2024,,Dataset,,This dataset contains the data (two excel files) related to the publication : Prediction of the structure of polymer-coated cardboards produced by thermocompression using I-optimal design of experiment.,mds,True,findable,7,0,0,0,0,2024-09-02T15:30:47.000Z,2024-09-02T15:34:30.000Z,rdg.prod,rdg,,,,,,,"['HasPart', 'HasPart']",
+10.18709/perscido.2024.09.ds375,nacdataset,PerSCiDO,2024,,Dataset,,nacdataset,api,True,findable,0,0,0,0,0,2024-09-02T15:09:41.000Z,2024-09-02T15:09:42.000Z,inist.persyval,vcob,Information Technology,"[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}]",['10 Mo'],,,,,
+10.5281/zenodo.11108225,EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"The EUNIS habitat classification is essential for categorising European habitats and supporting European policy on nature conservation and to implement the Nature Restoration Law. As such, to meet the growing demand for detailed and accurate habitat information, we provide spatial predictions for 260+ EUNIS habitat types at EUNIS level 3, together with validation and uncertainty analyses. 
+
+More specifically, using ensemble machine learning models together with high-resolution satellite imagery and other climatic, terrain and soil variables, we produced an European habitat map at a 100-m resolution indicating the most likely EUNIS habitat at level 3 for every location across Europe. Predictions were validated for three independent countries, namely for France, the Netherlands and Austria. We also provide information on uncertainty and the most probable habitats at level 3 within each EUNIS level 1 formation. Products can be further refined with accurate and local land cover data. This product is thus likely to be particularly useful for restoration but also conservation purposes.  
+
+Figure: Wall-to-wall map of EUNIS habitats at level 3 - (color coded at level 2 for visibility)",api,True,findable,0,0,0,0,0,2024-09-08T20:09:09.000Z,2024-09-08T20:09:09.000Z,cern.zenodo,cern,"Habitat,Artificial intelligence,Machine learning,Ecosystems,European Nature Information System (EUNIS),Grasslands,Forests,Coastal ecosystems,Shrublands,Wetlands","[{'subject': 'Habitat'}, {'subject': 'Artificial intelligence', 'subjectScheme': 'EuroSciVoc'}, {'subject': 'Machine learning', 'subjectScheme': 'EuroSciVoc'}, {'subject': 'Ecosystems', 'subjectScheme': 'EuroSciVoc'}, {'subject': 'European Nature Information System (EUNIS)'}, {'subject': 'Grasslands'}, {'subject': 'Forests'}, {'subject': 'Coastal ecosystems', 'subjectScheme': 'EuroSciVoc'}, {'subject': 'Shrublands'}, {'subject': 'Wetlands'}]",,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.11108225']]"
+10.18709/perscido.2024.09.ds373,test_nac,PerSCiDO,2024,,Dataset,,test nac,api,True,findable,0,0,0,0,0,2024-09-02T14:21:42.000Z,2024-09-02T14:21:42.000Z,inist.persyval,vcob,Information Technology,"[{'subject': 'Information Technology', 'subjectScheme': 'http://www.radar-projekt.org/display/Information_Technology'}]",['10 Mo'],,,,,
+10.26302/sshade/experiment_lb_20240830_002,Vis-NIR BRDF of sublimation residues of Phobos regolith simulants OPPS and UTPS-TB,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.","Vis-NIR (0.6-3.6 µm) reflectance spectra (i=0-30°, az=0°, and phase angles from -80° to +80°) acquired with the SHADOWS instrument of sublimation residues of Phobos regolith simulants Observatory of Paris Phobos Simulant (OPPS) and University of Tokyo Phobos Simulant, Tagish Lake based (UTPS-TB)",mds,True,findable,0,0,0,0,0,2024-09-05T15:28:26.000Z,2024-09-05T15:28:27.000Z,inist.sshade,mgeg,"laboratory measurement,bidirectional reflection,macroscopic,Vis,Visible,NIR,Near-Infrared,reflectance factor,mineral,laboratory","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'laboratory', 'subjectScheme': 'origin'}]",['2 spectra'],['ASCII'],,,"['IsPartOf', 'IsPartOf']",
+10.5281/zenodo.13619595,GEOLAB - SAM-WT project,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,"This dataset contains the experimental data results of the GEOLAB Transnational Access project SAM-WT (Shared Anchor under Multidirectional Cyclic Loading for Floating Wind Turbines). The experimental work was performed at the Geotechnical Test Pit of the Technical University of Darmstadt, Germany, in 2024.
+
+Three lateral pile loading tests were conducted on a steel pile with a diameter of 325 mm and a length of 3 meters, embedded in dry sand within an indoor pit. These tests included a monotonic loading test (Test 0), a unidirectional cyclic loading test (Test 1), and a multidirectional cyclic loading test (Test 2). The cyclic tests comprised two cyclic packages with different mean and amplitude values, featuring 10,000 and 3,000 cycles, respectively. In all cases, the cyclic frequency was 0.125 Hz.
+
+This dataset includes:
+
+- A description of the experimental setup, test programme, and instrumentation, with detailed and comprehensive plans and photographs.- The test result files, recorded by the 47 sensors that equipped the setup. The files contain the raw data as captured by the instruments.",api,True,findable,0,0,0,0,1,2024-09-02T12:29:15.000Z,2024-09-02T12:29:15.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],
+10.5281/zenodo.13471041,"Sentinel-1 interferograms and weather-based tropospheric delays maps (ERA5, GACOS) for two volcanoes: Piton de la Fournaise and Merapi",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"InSAR Sentinel-1 dataset and weather-based models used in the paper ""Benefits of GNSS local observations compared to global weather-based models for InSAR tropospheric corrections over tropical volcanoes: case studies of Piton de la Fournaise and Merapi"" by Albino et al. (2024).
+
+The two zip files are associated with the two targets: REUNION_ISLAND and MERAPI. The directories ""ERA5"" and ""GACOS"" contain the GACOS and ERA5 tropospheric delay maps per epoch in geotiff format, respectively. The directory ""INTERFEROGRAM"" contains the unwrapped interferograms in geotiff format. The ""AUX"" directory contains the DEM and incidence angle in geotiff format.",api,True,findable,0,0,0,0,1,2024-08-29T11:46:57.000Z,2024-08-29T11:46:58.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],