This work is part of ANR PERMOLARDS (Projet-ANR-19-CE01-0010). The 7 july 2019 A large landslide occured in Fagraskógarfjall mountain in Hítardalur valley (Iceland). In may 2022, a PERMOLARDS team acquired data during a field mission. This dataset is composed by four topographic models : - 'Hitardalur1.zip': OBJ tiled model from landslide, - 'Hitardalur2.zip': OBJ model from landslide, - 'Hitardalur3.zip': OBJ model from landslide, - 'NearBorganes.zip': OBJ model for centimetric soil shapes freezed and thawed. Digital images were taken by a DJI Mavic drone (Hitardalurx.zip) and by a DJI Pocket 2 attached to a pole (NearBorganes.zip) . 3D models were generated by Agisoft Metashape Professional Edition software (Educational License). The generated OBJ tiled models were tested on VRVolc Virtual Reality software (See link below). How to cite: Delage, E., Conway, S., Morino, C., & van Wyk de Vries, B. (2024). Topographic 3D models : Fagraskógarfjall 2018 landslide and other Vesturland area [Data set]. OPGC, LPG. https://doi.org/10.25519/8ZPC-AX16

This dataset comprises an excel file (Supplementary Tables.xlsx) with 5 spreadsheets gathering the whole geochemical data produced and discussed in the manuscript. A document (Supplementary file A.pdf) describing the methodology and supply some information on minor results is also provided. How to cite: AQUILA, Q., Garçon, M., OLIVIER, N., & Bekker, A. (2024). Phantom zircons provide new insight to the evolution of one of the oldest Banded Iron Formations on Earth (Isua Greenstone Belt, Greenland) [Data set]. LMV, OPGC. https://doi.org/10.25519/GC0X-YR88

List of the raw XANES data files attached to manuscript 'Mapping the redox state of the young Solar System using ytterbium valence state' How to cite: Hammouda, T., Frossard, P., Boyet, M., Bouvier, A., Newville, M., & Lanzirotti, A. (2023). Mapping the redox state of the young Solar System using ytterbium valence state [Data set]. OPGC-LMV, ANL. https://doi.org/10.25519/JFCN-B685

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

This 3D model was performed by Agisoft Metashape Professional Edition software (Educational License). Digital images were taken by OPGC drone team at 'Volcan de Lemptégy'. 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., Régis, E., Bontemps, M., & Van Wyk de Vries, B. (2023). Topographic 3D model : Lemptegy summer [Data set]. OPGC. https://doi.org/10.25519/0G0S-R537

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

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 dataset contains 33 analyzed samples of the erupted products (explosive and effusive) in terms of their grain size, componentry, morphology, density, permeability, bubble and crystal contents (and size distributions), as well as their distribution in space and time.

This dataset was created from self-potential, soil CO2 and thermal data acquired between May 2022 and May 2023 on the summit of la Soufrière de Guadeloupe. This dataset has been acquired during fieldwork for the PhD thesis of Amelie Klein (OPGC-LMV, 2021--2024). How to cite: Klein, A., Jessop, D. E., Donnadieu, F., Pierre, J. and Moretti, R. (2023). Dome permeability and fluid circulation at la Soufrière de Guadeloupe implied from soil CO2 degassing, thermal flux and self-potential [Data set]. OPGC, LMV. https://doi.org/10.25519/zhz3-tb92

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