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 f247233ea5ae591489ac3746071b92c329ef6872..4b799ce5f564c36a6803128f87e321f00bfdb937 100644
--- a/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
+++ b/1-enrich-with-datacite/all_datacite_clients_for_uga.csv
@@ -1,13 +1,13 @@
 client,count,name,year,url
-cern.zenodo,721,Zenodo,2013,https://zenodo.org/
-inist.sshade,475,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
+cern.zenodo,725,Zenodo,2013,https://zenodo.org/
+inist.sshade,476,Solid Spectroscopy Hosting Architecture of Databases and Expertise,2019,https://www.sshade.eu/
 figshare.ars,260,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,159,DRYAD,2018,https://datadryad.org
-inist.resif,80,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
+dryad.dryad,160,DRYAD,2018,https://datadryad.org
+inist.resif,91,Réseau sismologique et géodésique français,2014,https://www.resif.fr/
 inist.humanum,58,NAKALA,2020,https://nakala.fr
-inist.persyval,55,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
-rdg.prod,53,Recherche Data Gouv France,2022,https://recherche.data.gouv.fr/en
+inist.persyval,56,PERSYVAL-Lab : Pervasive Systems and Algorithms Lab,2016,
+rdg.prod,55,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,
diff --git a/1-enrich-with-datacite/nb-dois.txt b/1-enrich-with-datacite/nb-dois.txt
index 3da63362a0c282d4db6b1fb99733cd0e2fb42221..e654209c28219fd888235a4a5ad7fe38e9a0f2e2 100644
--- a/1-enrich-with-datacite/nb-dois.txt
+++ b/1-enrich-with-datacite/nb-dois.txt
@@ -1 +1 @@
-2180
\ No newline at end of file
+2200
\ 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 9b3eb77a301cce704a952c83a3b131cf9d9b62d8..bdd623b8662d2175bd7bc396775524c57a4b5fd6 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 38a05da1b9165c258f2cca42a332c1751b8974db..0d38b6761e9f0d764a1d8fee98ba5355535f9b7d 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 aee80365269fb55af72c8ee96101d26980eccb20..351a0d8da535ac700a04e774f795975409f6c61a 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 706811c8c2c37f50dd2e7caf05048017c0e04256..60eca24b8020adebf700b162ff47b14c982ab5a9 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 704a304431d43f4734066d6fb8212f965fa268ef..1934ec6c09009d6747ab30a0ae922a3cac54545b 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.csv b/dois-uga.csv
index 86a84056eb556e91f1f992709dbf612ba25a66ec..16ceca15ceaae71531f5880a81173d156ff3ad34 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -9963,3 +9963,104 @@ Pour aller plus loin 
 
 
 Le fichier Excel utilisé dans les exercices ainsi que le script R et sa version .html sont accessibles ci-dessous. ",api,True,findable,0,0,0,0,0,2024-07-05T06:14:18.000Z,2024-07-05T06:14:18.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.12662313']]"
+10.15778/resif.xt2024,"Anisotropie_Vuache temporary nodes experiment deployed of a temporary node experiment to tomograph the Vuache faults, France (RESIF-SISMOB)",RESIF - Réseau Sismologique et géodésique Français,2024,,Dataset,,"Objective: study of the anisotropy in the damaged zone of the Vuache fault in the volume where the M5.3 Epagny-Annecy earthquake took place in 1996, to compare it with that found in the northern, so-called aseismic segment. This highly urbanised region is monitored by 5 RAP stations, whose recordings show marked seasonal variations in seismic velocities, up to 2 km deep. MT studies (40 sites) also allow us to evidence the damaged area. We require 100 5-Hz nodes between February and May 2024.",fabrica,True,findable,0,0,0,1,0,2024-07-10T17:26:09.000Z,2024-07-10T17:26:43.000Z,inist.resif,vcob,"Annecy,2024,Nodes,Interferometrie","[{'subject': 'Annecy'}, {'subject': '2024'}, {'subject': 'Nodes'}, {'subject': 'Interferometrie'}]","['100 stations, 710Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,['IsCitedBy'],
+10.15778/resif.xf2024,"MACIV-Profiles temporary experiment of seismic imaging of the lithospheric structure of the French Massif Central along 3 profiles to complete the MACIV-BB broadband network to be deployed in 2024, France (RESIF-SISMOB)",RESIF - Réseau Sismologique et géodésique Français,2024,,Dataset,,"Seismic imaging of the lithospheric structure of the French Massif Central. 65 stations on 2 long profiles oriented N-S and E-W that intersect in the Chaîne des Puys, and a shorter NW-SE profile from Chaine des Puys to Vivarais. Dense station spacing between 5 and 20 km. Intermediate-band seismic sensors. The 3 profiles will complement the MACIV-BB broadband array deployed in 2024.",fabrica,True,findable,0,0,0,1,0,2024-07-10T11:00:34.000Z,2024-07-10T11:01:51.000Z,inist.resif,vcob,"French Massif Central,Lithospheric structure,Medium-band seismic sensors,3 dense profiles with 5-10 km spacing","[{'subject': 'French Massif Central'}, {'subject': 'Lithospheric structure'}, {'subject': 'Medium-band seismic sensors'}, {'subject': '3 dense profiles with 5-10 km spacing'}]","['29 stations, 20Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,['IsCitedBy'],
+10.5061/dryad.wm37pvmvq,The TCR assigns naive T cells to a preferred lymph node,Dryad,2024,en,Dataset,Creative Commons Zero v1.0 Universal,"Naive T cells recirculate between the spleen and lymph nodes where they
+ mount immune responses when meeting dendritic cells presenting foreign
+ antigen. As this may happen anywhere, naive T cells ought to visit all
+ lymph nodes. Here, deep sequencing almost-complete TCR-repertoires led to
+ a comparison of different lymph nodes within and between individual mice.
+ We find strong evidence for a deterministic CD4/CD8 lineage choice and a
+ consistent spatial structure. Specifically, some T cells show a preference
+ for one or multiple lymph nodes, suggesting that their TCR interacts with
+ locally presented (self-)peptides. These findings are mirrored in
+ TCR-transgenic mice showing localized CD69-expression, retention, and cell
+ division. Thus, naïve T cells intermittently sense antigenically
+ dissimilar niches, which is expected to affect their homeostatic
+ competition.",mds,True,findable,0,0,0,0,0,2024-07-11T11:00:16.000Z,2024-07-11T11:00:17.000Z,dryad.dryad,dryad,"TCR sequencing,oneTCRa mice,FOS: Biological sciences,FOS: Biological sciences,TCR alpha chain","[{'subject': 'TCR sequencing'}, {'subject': 'oneTCRa mice'}, {'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': 'TCR alpha chain'}]",['44862452 bytes'],,,,,
+10.15778/resif.xr2024,"K3-Lez temporary experiment continuous seismic acquisition for hydrological monitoring purposes near the city of Montpellier, France (RESIF-SISMOB)",RESIF - Réseau Sismologique et géodésique Français,2024,,Dataset,,"This 2-year acquisition campaign aims to instrument localized hydrological variations in the vicinity of the Lez aquifer in order to establish seismological response models to precipitation and hydrological observables, in conjunction with independent measurements. This set-up will complement the measurements carried out with the permanent REST station (RESIF) since November 2020. 5mid-band sensors (Trillium Compact 20s type) will provide a continuous set of seismic background data.",fabrica,True,findable,0,0,0,1,0,2024-07-10T14:07:55.000Z,2024-07-10T14:08:13.000Z,inist.resif,vcob,"Lez,Middle-band sensors,Seismic noise,Hydrology","[{'subject': 'Lez'}, {'subject': 'Middle-band sensors'}, {'subject': 'Seismic noise'}, {'subject': 'Hydrology'}]","['5 stations, 18Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,['IsCitedBy'],
+10.57745/p0khag,Insurance dataset,Recherche Data Gouv,2024,,Dataset,,"A collection of insurance datasets from real insurers or mutual companies, mostly from Europe and North America. Datasets can be used to model and understand risks in both life and non-life insurance.",mds,True,findable,61,4,0,0,0,2024-06-14T15:02:23.000Z,2024-07-09T14:26:38.000Z,rdg.prod,rdg,,,,,,,['HasPart'],
+10.5281/zenodo.12664035,"Angular momentum estimates for global geophysical fluids, 1995--2015",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"Data supplement for manuscript ""Chaotic oceanic excitation of low-frequency polar motion variability"" by Lara Börger, Michael Schindelegger, Mengnan Zhao, Rui M. Ponte, Anno Löcher, Bernd Uebbing, Jean-Marc Molines, and Thierry Penduff, submitted to Earth System Dynamics (ESD).
+
+ 
+
+
+
+Provided are the following monthly angular momentum time series, 1995-2015:
+
+
+
+Atmospheric angular momentum: AAM_ERA_Int_monthly_1995-2015.aam
+
+Oceanic angular momentum:
+
+
+
+OAM_OCCIPUT_EnsMean_monthly_1995-2015.oam
+
+OAM_OCCIPUT_ens*_monthly_1995-2015.oam
+
+
+
+Hydrologic angular momentum: HAM_SLR_DORIS_monthly_1995-2015.asc
+
+Cryospheric angular momentum:
+
+
+
+Cryo_AM_Greenland_SLR_DORIS_monthly_1995-2015.asc
+
+Cryo_AM_Antarctica_SLR_DORIS_monthly_1995-2015.asc
+
+
+
+Gravitational attraction and loading angular momentum: GAL_SLR_DORIS_monthly_1995-2015.asc
+
+
+
+ 
+
+For content see ReadMe.txt.
+
+ 
+
+Terms of usage:
+
+If you use the OAM time series, please cite: 
+
+Börger, L., Schindelegger, M., Zhao, M., Ponte, R.M., Löcher, A., Uebbing, B., Molines, J.-M., Penduff, T., 2024. Chaotic oceanic excitation of low-frequency polar motion variability, submitted to ESD
+
+Bessières, L., Leroux, S., Brankart, J.M., Molines, J.M., Moine, M.P., Bouttier, P.A., Penduff, T., Terray, L., Barnier, B., Sérazin, G., 2017. Development of a probabilistic ocean modelling system based on NEMO 3.5: Application at eddying resolution. Geosci. Model Dev. 10, 1091–1106. doi:10.5194/gmd-10-1091-2017.
+
+Hogg, A.M., Penduff, T., Close, S.E., Dewar, W.K., Constantinou, N.C., Mart ́ınez-Moreno, J., 2022. Circumpolar variations in the chaotic nature of Southern Ocean eddy dynamics. J. Geophys. Res. Oceans 127, e2022JC018440. doi:10.1029/2022JC018440.
+
+Penduff, T., Bernier, B., Terray, L., Bessières, L., Sérazin, G., Gregorio, S., Brankart, J.M., Moine, M.P., Brankart, J.M., Brasseur, P., 2014. Ensembles of eddying ocean simulations for climate. CLIVAR Exchanges, Special Issue on High Resolution Ocean Climate Modelling 19, 26–29.
+
+ 
+
+ 
+
+
+
+If you use the angular momentum estimates of the other geophysical fluids, please cite: 
+
+Börger, L., Schindelegger, M., Zhao, M., Ponte, R.M., Löcher, A., Uebbing, B., Molines, J.-M., Penduff, T., 2024. Chaotic oceanic excitation of low-frequency polar motion variability, submitted to ESD
+
+
+ 
+
+Contact: L. Börger (lboerger@igg.uni-bonn.de)",api,True,findable,0,0,0,0,0,2024-07-08T14:35:37.000Z,2024-07-08T14:35:38.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.12664035']]"
+10.5281/zenodo.12723294,Walkability,Zenodo,2024,en,Dataset,Creative Commons Attribution 4.0 International,,api,True,findable,0,0,0,0,1,2024-07-11T12:10:56.000Z,2024-07-11T12:10:56.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],
+10.15778/resif.yr2022,"Lisisker temporary experiment to analyze the detailed seismicity of the main Kerguelen archipelago and produce a tomography based on earthquakes and seismic noise, Indian Ocean (RESIF-SISMOB)",RESIF - Réseau Sismologique et géodésique Français,2024,,Dataset,,"The main goal of this deployment is to contribute to a multi-disciplinary effort to characterize the structure, deformation, and current seismicity of Kerguelen Island (Indian Ocean). The deployment will include up to 10 seismic stations, distributed so as to cover most regions of the island, except for the integral natural preserve region on the island’s west coast. The duration of the deployment will be between 1 and 3 years, depending on installation date of the individual stations and logistical constraints inherent to seismological deployments in remote and inaccessible regions.",fabrica,True,findable,0,0,0,1,0,2024-07-10T17:29:39.000Z,2024-07-10T17:30:22.000Z,inist.resif,vcob,"Temporary deployment,3-component medium-band seismic data","[{'subject': 'Temporary deployment'}, {'subject': '3-component medium-band seismic data'}]","['5 stations, 72Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,['IsCitedBy'],
+10.15778/resif.1b2020,"STROM temporary nodes and broadband data associated with DAS experiment at Stromboli, Italy (RESIF-SISMOB)",RESIF - Réseau Sismologique et géodésique Français,2024,,Dataset,,The purpose of these measurements with an array of nodes is to calibrate strain rate measurements made with a DAS recorder. The nodes will be deployed along the optical fibre for a period of one month. This calibration will be performed using volcanic explosion sources.,fabrica,True,findable,0,0,0,1,0,2024-07-12T11:12:27.000Z,2024-07-12T11:12:39.000Z,inist.resif,vcob,"Stromboli,Nodes","[{'subject': 'Stromboli'}, {'subject': 'Nodes'}]","['18 stations, 704Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,['IsCitedBy'],
+10.57745/ikymka,Replication Data for: Stress Testing the DMARC Reporting System: Compliance with Standards and Ways of Improvement,Recherche Data Gouv,2024,,Dataset,,"The collected data is used for generating the table presented in the research article: ""Stress Testing the DMARC Reporting System: Compliance with Standards and Ways of Improvement,"" an article accepted at the ""CoNEXT 24"" conference. The dataset allows for identifying different Email Service Providers (ESP) behaviors within the DMARC reporting system. It consists of an aggregation of: i) Emails sent to registered accounts of multiple ESPs, ii) DMARC reports received in response to the previously sent emails, iii) Bind9 service logs (DNS service): identify behaviors through domain names passive measurements, iv) Rspamd service logs: allow the verification that measurements are correctly performed, v) Domain name configuration ZoneFile: allow the verification of measurement configurations. It contains the measurement data and the generated data using the code in the GitHub repository https://github.com/drakkar-lig/dmarc-conext24.",mds,True,findable,11,3,0,0,0,2024-07-08T11:48:17.000Z,2024-07-11T14:31:27.000Z,rdg.prod,rdg,,,,,,,"['HasPart', 'HasPart', 'HasPart', 'HasPart']",
+10.5281/zenodo.12733192,"Supplementary Material for ""Turning Low-Code Development Platforms into True No-Code with LLMs""",Zenodo,2024,,Dataset,Creative Commons Attribution 4.0 International,"This repository contains additional material supporting the paper titled ""Turning Low-Code Development Platforms into True No-Code with LLMs""",api,True,findable,0,0,0,0,0,2024-07-12T13:35:34.000Z,2024-07-12T13:35:34.000Z,cern.zenodo,cern,,,,,,,['HasVersion'],"[['IsVersionOf', '10.5281/zenodo.12733192']]"
+10.15778/resif.9l2022,"ActiveSW temporary experiment on mud volcanoes in SW Taiwan to detect and characterize degassing events, Taiwan (RESIF-SISMOB)",RESIF - Réseau Sismologique et géodésique Français,2022,,Dataset,"Open Access,Creative Commons Attribution 4.0 International","A seismic sensor has been installed about 3 m from an active mud volcano. This mud volcano has a diameter of about one meter. It is filled with liquid mud up to a depth of about 3 m. It has « eruptions » (bubbling phases) occurring more or less regularly in time, with an average inter-eruption time of about 20s. This place is also located very close to an active fault. This seismometer therefore also detects frequent earthquakes. This experiment was part of a broader project that aims at better understanding the deformation mechanisms in SW Taiwan that accommodate tectonic stress in the crust and control seismic hazard and the growth of long-term geological structures and topography. SW Taiwan undergoes high strain rates (>1 μstrain/yr) associated with a very low level of seismicity.",fabrica,True,findable,0,0,0,1,0,2024-07-10T17:22:40.000Z,2024-07-10T17:23:23.000Z,inist.resif,vcob,Mud volcano,[{'subject': 'Mud volcano'}],"['1 station, 12Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,['IsCitedBy'],
+10.15778/resif.xs2024,"Mofette_Lab temporary nodes experiment deployed around the Escarot mofette volcanic site for CO2 emission monitoring, France (RESIF-SISMOB)",RESIF - Réseau Sismologique et géodésique Français,2024,,Dataset,,"The objective of the campaign is to deploy a dense network of 84 nodes around the Escarot mofette, a CO2 degassing zone of volcanic origin in the Puy-de-Dome. The acquired data will allow to produce images of the fractures leading the gas to the surface as well as to follow the evolution of the gas flow over time. These data will be correlated with in-situ measurements of gas content in the ground. The area to be covered by the sensors is about 4.5Ha.",fabrica,True,findable,0,0,0,1,0,2024-07-12T11:09:52.000Z,2024-07-12T11:10:06.000Z,inist.resif,vcob,"Escarot,Mofette,Nodes,CO2","[{'subject': 'Escarot'}, {'subject': 'Mofette'}, {'subject': 'Nodes'}, {'subject': 'CO2'}]","['100 stations, 684Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,['IsCitedBy'],
+10.5281/zenodo.12697960,jeanbraun/Pecube: Pecube,Zenodo,2024,,Software,Creative Commons Attribution 4.0 International,Version created after a few bug fixes,api,True,findable,0,0,0,1,0,2024-07-09T09:15:52.000Z,2024-07-09T09:15:52.000Z,cern.zenodo,cern,,,,,,,"['IsSupplementTo', 'HasVersion']","[['IsVersionOf', '10.5281/zenodo.12697960']]"
+10.15778/resif.yz2022,"Tete Rousse temporary experiment to study the ambient noise of the Tete Rousse glacier and the evolution of the filling/pressure of the cavity, France (RESIF-SISMOB)",RESIF - Réseau Sismologique et géodésique Français,2024,,Dataset,,"The glacier of Tete Rousse, French Alpes is sadly famous for its death toll due to an outburst flood that occurred in 1892. Since 2010, geophysicists and glaciologists are monitoring the glacier as a large amount of liquid water in a cavity at the center of the glacier has been found. The water was pumped several times since then and the shape and location of the cavity have evolved. To better constrain the location of the cavity, a seismic acquisition was performed between the 4th and the 22nd of May 2022. 60 SmartSolo 3C seismic nodes were deployed in a regular grid of 30x25m. The sampling frequencies were 500 Hz, and 1000 Hz depending on the sensors’ locations. The dataset is composed of the daily recordings in miniseed format for each component (N,E,Z) and for each sensor between the 4th and the 22nd of May 2022. We also provide a table with the basic information required for each sensor (latitude, longitude, altitude, gain, sampling frequency etc.).",fabrica,True,findable,0,0,0,3,0,2024-07-12T19:29:11.000Z,2024-07-12T19:40:59.000Z,inist.resif,vcob,"Glacier,Glacier related hazards,Ambient noise,Cavities,Micro seismicity","[{'subject': 'Glacier'}, {'subject': 'Glacier related hazards'}, {'subject': 'Ambient noise'}, {'subject': 'Cavities'}, {'subject': 'Micro seismicity'}]","['62 stations, 868Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,"['IsReferencedBy', 'IsReferencedBy', 'IsCitedBy']",
+10.26302/sshade/experiment_bs_20240605_001,"Near and Mid-IR reflectance, Mid-IR transmission and Raman emission spectra of a series of Fe-Mg carbonates along the Siderite-Magnesite solid solution",SSHADE/DRIMS (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.","Near and Mid-IR reflectance of powders, Mid-IR transmission in KBr pellets and Raman emission spectra of grain of a series of 11 Fe-Mg carbonates along the Siderite-Magnesite solid solution (Mg# = 7.1 - 99.4%)",mds,True,findable,0,0,0,0,0,2024-07-10T17:01:32.000Z,2024-07-10T17:01:33.000Z,inist.sshade,mgeg,"laboratory measurement,bidirectional reflection,macroscopic,biconical reflection,transmission,Raman scattering,microscopy,Vis,Visible,NIR,Near-Infrared,MIR,Mid-Infrared,FIR,Far-Infrared,reflectance factor,Raman scattering intensity,Siderite,KBr powder,Adsorbed water,Mg-Siderite,Fe-Magnesite,Magnesite,mineral,solid,natural terrestrial,commercial,carbonate,bromide,physically adsorbed phase","[{'subject': 'laboratory measurement', 'subjectScheme': 'main'}, {'subject': 'bidirectional reflection', 'subjectScheme': 'main'}, {'subject': 'macroscopic', 'subjectScheme': 'main'}, {'subject': 'biconical reflection', 'subjectScheme': 'main'}, {'subject': 'transmission', 'subjectScheme': 'main'}, {'subject': 'Raman scattering', 'subjectScheme': 'main'}, {'subject': 'microscopy', 'subjectScheme': 'main'}, {'subject': 'Vis', 'subjectScheme': 'variables'}, {'subject': 'Visible', 'subjectScheme': 'variables'}, {'subject': 'NIR', 'subjectScheme': 'variables'}, {'subject': 'Near-Infrared', 'subjectScheme': 'variables'}, {'subject': 'MIR', 'subjectScheme': 'variables'}, {'subject': 'Mid-Infrared', 'subjectScheme': 'variables'}, {'subject': 'FIR', 'subjectScheme': 'variables'}, {'subject': 'Far-Infrared', 'subjectScheme': 'variables'}, {'subject': 'reflectance factor', 'subjectScheme': 'variables'}, {'subject': 'Raman scattering intensity', 'subjectScheme': 'variables'}, {'subject': 'Siderite', 'subjectScheme': 'name'}, {'subject': 'KBr powder', 'subjectScheme': 'name'}, {'subject': 'Adsorbed water', 'subjectScheme': 'name'}, {'subject': 'Mg-Siderite', 'subjectScheme': 'name'}, {'subject': 'Fe-Magnesite', 'subjectScheme': 'name'}, {'subject': 'Magnesite', 'subjectScheme': 'name'}, {'subject': 'mineral', 'subjectScheme': 'family'}, {'subject': 'solid', 'subjectScheme': 'family'}, {'subject': 'natural terrestrial', 'subjectScheme': 'origin'}, {'subject': 'commercial', 'subjectScheme': 'origin'}, {'subject': 'carbonate', 'subjectScheme': 'compound type'}, {'subject': 'bromide', 'subjectScheme': 'compound type'}, {'subject': 'physically adsorbed phase', 'subjectScheme': 'compound type'}]",['41 spectra'],['ASCII'],,,['IsPartOf'],
+10.15778/resif.9f2023,GreenlandSeismic temporary nodes experiment deployed on the Insunnguata Sermia glacier in Greenland (RESIF-SISMOB),RESIF - Réseau Sismologique et géodésique Français,2023,,Dataset,,"The aim of this campaign is to deploy a dense seismic network (100 sensors) during summer on the Insuggiata Sermia Glacier in Greenland. The aim of this work is to study fracturing and fluid flows induced by surface melting, and the role of these processes on glacier dynamics. We carried out an equivalent campaign in Spring 2023, for which we have very nice preliminary results. However, during this campaign we were unable to experience intense surface melting conditions, as temperatures remained abnormally low over the period investigated. In this campaign, we will be instrumenting the glacier from mid-June to mid-July, which will enable us to acquire data during a major surface melt. Ultimately, the two sets of data we will have acquired will form a highly complementary whole, covering a wide range of behaviours.",fabrica,True,findable,0,0,0,1,0,2024-07-10T14:25:51.000Z,2024-07-10T14:26:34.000Z,inist.resif,vcob,"Greenland,Ice,Dynamics,Water,Flow,Hydrofracturing,Dense,Seismic array","[{'subject': 'Greenland'}, {'subject': 'Ice'}, {'subject': 'Dynamics'}, {'subject': 'Water'}, {'subject': 'Flow'}, {'subject': 'Hydrofracturing'}, {'subject': 'Dense'}, {'subject': 'Seismic array'}]","['82 stations, 622Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,['IsCitedBy'],
+10.15778/resif.z42023,"Post-seismic deployment following the La Laigne, Ml4.9 earthquake that occurred on Friday June 16 in western France, France (RESIF-SISMOB)",RESIF - Réseau Sismologique et géodésique Français,2024,,Dataset,"Open Access,Creative Commons Attribution 4.0 International","Post-seismic deployment following the La Laigne, Ml 4.9 earthquake that occurred on Friday June 16 in western France.",fabrica,True,findable,0,0,0,1,0,2024-07-12T11:15:18.000Z,2024-07-12T11:16:08.000Z,inist.resif,vcob,"La Laigne Ml4.9 earthquake,La Laigne 2023-06-16,Seismicity France,Post seismicity,Broadband seismology,Dense networks,Nodes,Seismicity","[{'subject': 'La Laigne Ml4.9 earthquake'}, {'subject': 'La Laigne 2023-06-16'}, {'subject': 'Seismicity France'}, {'subject': 'Post seismicity'}, {'subject': 'Broadband seismology'}, {'subject': 'Dense networks'}, {'subject': 'Nodes'}, {'subject': 'Seismicity'}]","['21 stations, 163Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,['IsCitedBy'],
+10.18709/perscido.2024.07.ds410,Thermochronology of the Pelvoux massif,PerSCiDO,2024,,Dataset,,"The repository contain U-Pb on apatite, zircon fission tracks and apatite fission tracks of the publication ""Thermochronology of the Western Alps (Pelvoux massif) reveals the long-term multiphase tectonic history of the European paleomargin."" of Boschetti et al., submitted in Tectonics",api,True,findable,0,0,0,0,0,2024-07-11T13:12:12.000Z,2024-07-11T13:12:12.000Z,inist.persyval,vcob,"Geology,FOS: Earth and related environmental sciences","[{'subject': 'Geology', 'subjectScheme': 'http://www.radar-projekt.org/display/Geological_Sciences'}, {'subject': 'FOS: Earth and related environmental sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['10 Mo'],['Excel'],,,,
+10.15778/resif.1f2018,Dense nodal seismic array temporary experiment for monitoring of passive seismic noise from groundwater near Lyon (RESIF-SISMOB),RESIF - Réseau Sismologique et géodésique Français,2018,,Dataset,,"This experiment consists in the deployment of about 100 nodes deployed around the infiltration basin 5.2 (water catchment area of Crépieux-Charmy, France) during 19 days of acquisition then 100 nodes deployed around a water pumping structure (water catchment area of Crépieux-Charmy,France).",fabrica,True,findable,0,0,0,2,0,2024-07-12T16:58:30.000Z,2024-07-12T16:59:10.000Z,inist.resif,vcob,"Groundwater,Seismic noise,Velocity variation; infiltration basin,Infiltration basin,Water pumping","[{'subject': 'Groundwater'}, {'subject': 'Seismic noise'}, {'subject': 'Velocity variation; infiltration basin'}, {'subject': 'Infiltration basin'}, {'subject': 'Water pumping'}]","['198 stations, 409Go (miniseed format)']","['Miniseed data', 'stationXML metadata']",,,"['IsCitedBy', 'IsReferencedBy']",