The OI² Observation service is a labeled component of the French National Volcanological Observations Service. OI²'s mission is the regular monitoring of soil displacements induced by the activity of the Piton de la Fournaise volcano, in Réunion island, using InSAR data.

This 3D model was performed by Agisoft Metashape Professional Edition software (Educational License). Digital images were taken by Olivier Grunwald, french photographer. This work is part of Erasmus+ Key Action 2 2017-1-UK01-KA203- 036719 '3DTeLC – Bringing the 3D-world into the classroom: a new approach to Teaching, Learning and Communicating the science of geohazards in terrestrial and marine environments'. The generated OBJ tiled model was tested on GeaVR and VRVolc Virtual Reality softwares (See links below). How to cite: DELAGE, E., Grunwald, O., & van Wyk de Vries, B. (2023). Topographic 3D model : Dallol domes [Data set]. OPGC. https://doi.org/10.25519/TXZC-1724

This dataset contains source and supplementary material (videos, figures and histograms) related to the study "Large impacts and their contribution to the water budget of the Early Moon" (Engels et al, Icarus, 2024). How to cite: Engels, T., Monteux, J., Boyet, M., & Bouhifd, M. A. (2024). Large impacts and their contribution to the water budget of the Early Moon [Data set]. OPGC, LMV. https://doi.org/10.25519/6PHB-FV69

The purpose of the MAPS project is to evaluate 11 satellite products (GHE, PDIR, IMERG-Early v6, IMERG-Late v6, CMORPH v0.x, CMORPH-RT v0.x, GSMaP-NRT v7, GSMaP-NRT-GC v7, GSMaP-NOW v7, GSMaP-NOW-GC v7, and DATABOURG) currently available and compare them to 2 ground-based radar networks (PANTHERE and OPERA) and the French rain-gauge network RADOME. Two case studies of intense precipitation over France (22 to 25 April 2022 and 24 to 29 June 2022) were selected. This DOI contains a Python source code (ACCSUM.py) allowing to: - Present the study areas, - Visualise the precipitation amounts at the end of each case study, - Compute the absolute bias with the point-to-pixel method at the point of the stations, - Intercompare the bias values between the two radar products, - Visualise the synoptic conditions from ECMWF ERA5 data, - Represent the radar coverage over the country and the recovery areas of both radar products over 3h periods. This version does not contain PANTHERE dataset. The complete dataset, including PANTHERE, is available on request. How to cite: Causse, A., Planche, C., Buisson, E., & Baray, J.-L. (2023). Precipitation accumulation and biases for two cases observed over France in 2022 [Data set]. OPGC, LaMP. https://doi.org/10.25519/YTHE-0C73

This data set is related to the study of Archean seafloor-derived silicified rocks that were sampled in the Barberton Greenstone Belt, in South Africa. It reports (1) drone images of geological sites where the silicified rock samples were collected, (2) chlorite temperature maps, (3) Raman spectra of carbonaceous materials, (4) Sm-Nd and La-Ce isochrone images, and (5) geochemical (major element, trace element and isotopic) analyses of natural samples and reference materials. These data were collected as part of Steve Kitoga's PhD research and related to the following published paper: Kitoga, S., Moyen, J.-F., Boyet, M., Marin-Carbonne, J., Olivier, N., Garçon, M., & Stevens, G. History and geochemical signatures of hydrothermally silicified lavas and sediments from the Palaeoarchean (3.5-3.2 Ga) Barberton Greenstone Belt. Advances in Geochemistry and Cosmochemistry, 2(1), 773. https://doi.org/10.33063/agc.v2i1.773. The dataset is provided along with a "README" file that provides relevant details on the content of each file contained in the dataset and a summary of methods that were used to acquire the data. A more detailed description of the methods that were used to acquire the data is accessible in Kitoga et al. (2026) (https://doi.org/10.33063/agc.v2i1.773). How to cite: Kitoga, L. S., Moyen, J.-F., Boyet, M., Marin-Carbonne, J., OLIVIER, N., Garçon, M., & Stevens, G. (2025). Drone images and geochemical compositions of reference materials and silicified lavas and cherts from the Paleoarchean Barberton Greenstone Belt [Data set]. OPGC, LMV. https://doi.org/10.25519/QXR1-9Y88

Visualisation of volcanic flows in Virtual Reality for communication, pedagogy and scientific visualisation for natural risks How to cite : Delage, E., Daffix, J., Perot, N., Sauret, G., & Bouafas, M. (2021). VRVolc. Observatoire de Physique du Globe de Clermont-Ferrand (OPGC). https://doi.org/10.25519/VRVOLC

Le site instrumenté du Cézeaux-Aulnat-Opme-Puy de Dôme (CO-PDD) est site instrumenté labellisé par l’INSU-CNRS pour l’observation de l’atmosphère et du climat. Il fournit un ensemble de données pour documenter l’évolution de la composition de la troposphère sur le long terme, étudier les processus liant gaz, aérosols, nuages et précipitations aux différentes échelles spatiales et temporelles et estimer l’impact des modifications anthropiques en termes climatique (nuage, rayonnement) et météorologique (précipitations). Il est constitué de la station globale GAW du puy de Dôme (1465 m d’altitude), site d’altitude éloigné de sources de pollution immédiates du site d’Opme (680 m) situé en zone rurale et des sites d’Aulnat (330 m) et des Cézeaux (410 m) situés en zone péri-urbaine, près de Clermont-Ferrand. Il accueille plusieurs services d’observation et est impliqué dans les infrastructures de recherche européennes ACTRIS et ICOS. Des campagnes de mesures spécifiques peuvent y être organisées grâce à sa capacité d’accueil et sa situation géographique. Autres organismes impliqués : - IRSN - École des Mines de Douai - ATMO Auvergne - MF - NILU - JRC Ispra - Universités de Bern, Munich Hambourg - Max Planck Institut - Deutsche Wetter Dienst de Hohenpeissenberg (Allemagne) - EMPA (Suisse).

AUVERgne Water CHemistry : Observation system for quantitative and qualitative parameters measurements of the water masses characteristic in Auvergne in order to observe the long-term evolution of the hydrosystems according to the anthropic and climatic modifications. Files in AUVERWATCH_2021.zip package : - Chimie_OPGC.xlsx contains data set of monthly data in physcico-chemical parameters, major ions and traces, - Isotopes_OPGC.xlsx contains data set of monthly isotopic determination of stable isotope of the water molecule, - Pharmaceutiques_OPGC.xlsx contains data set of monthly pharmaceutical concentrations. How to cite : Celle, H., Mailhot, G., Devidal, J.-L., & Labbe, J. (2024). Auverwatch. OPGC, LMV, LCE. https://doi.org/10.25519/AUVERWATCH

This dataset comprises two separated zip files that are directly related to the PhD thesis manuscript 'Partial melting processes and crustal differentiation : new constraints from the study of accessory minerals and the Sm-Nd isotopic system' as Supplementary materials. How to cite: BIGET, T. (2024). Partial melting processes and crustal differentiation : new constraints from the study of accessory minerals and the Sm-Nd isotopic system [Data set]. LMV, OPGC. https://doi.org/10.25519/F7XP-NP56

BECOM (Better Contrail Mitigation) is a project proposing to develop strategies to mitigate the formation and impact of contrails. By combining advanced atmospheric modelling with real-world flight data, it aims to identify optimal flight paths and operational practices that minimize contrail formation (https://becom-project.eu/). We documented the observation and formation conditions of contrails on June 2, 2023, over Clermont-Ferrand, France. This study is part of the work package Operational and new measurements and characterization of the project BECOM. This DOI contadins the dataset allowing to support observations regarding this case study. How to cite: DIARRA, S., Baray, J.-L., Montoux, N., Freville, P., Peyrin, F., Cacault, P., Boucher, W., & Keckhut, P. (2025). Observation of contrail formation and evolution over Clermont-Ferrand on June 2, 2023 [Data set]. OPGC, LaMP. https://doi.org/10.25519/6Q9C-JV42