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Self-potential dataset for mapping groundwater flow patterns in the Chaîne des Puys (Auvergne, France)
The present Self-Potential (SP) dataset acquired in the Chaîne des Puys is the result of four decades of measurements carried out by master's students, PhD students, researchers, and engineering offices under the auspices of the Laboratoire Magmas et Volcans (LMV) and the Observatoire de Physiq...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493241/ https://www.ncbi.nlm.nih.gov/pubmed/37701713 http://dx.doi.org/10.1016/j.dib.2023.109533 |
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author | Aumar, Cyril Labazuy, Philippe Buvat, Solène Delage, Emmanuel |
author_facet | Aumar, Cyril Labazuy, Philippe Buvat, Solène Delage, Emmanuel |
author_sort | Aumar, Cyril |
collection | PubMed |
description | The present Self-Potential (SP) dataset acquired in the Chaîne des Puys is the result of four decades of measurements carried out by master's students, PhD students, researchers, and engineering offices under the auspices of the Laboratoire Magmas et Volcans (LMV) and the Observatoire de Physique du Globe de Clermont-Ferrand (OPGC). Acquired in the 1980s by Maurice Aubert and his collaborators (e.g. [1], [2], [3]), this Self-Potential dataset was completed as part of the CAPRICE project focused on the hydrosystem of the Chaîne des Puys. The methodology and equipment used for data acquisition has remained unchanged since the first measurement in 1987. As a result, this dataset compiles more than 20,000 SP measurements and covers an area of almost 200 km². The SP data are intended to serve as the basis for geological models, coupled with geological and other geophysical data, according to the method described in Aubert and Atangana, 1996. After interpolation, SP data can be used to identify preferential groundwater flow paths and to delineate the surface of hydrogeological watersheds. As indicated in the literature, they also be used to identify possible recharge zones or areas of permeability contrast. |
format | Online Article Text |
id | pubmed-10493241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104932412023-09-12 Self-potential dataset for mapping groundwater flow patterns in the Chaîne des Puys (Auvergne, France) Aumar, Cyril Labazuy, Philippe Buvat, Solène Delage, Emmanuel Data Brief Data Article The present Self-Potential (SP) dataset acquired in the Chaîne des Puys is the result of four decades of measurements carried out by master's students, PhD students, researchers, and engineering offices under the auspices of the Laboratoire Magmas et Volcans (LMV) and the Observatoire de Physique du Globe de Clermont-Ferrand (OPGC). Acquired in the 1980s by Maurice Aubert and his collaborators (e.g. [1], [2], [3]), this Self-Potential dataset was completed as part of the CAPRICE project focused on the hydrosystem of the Chaîne des Puys. The methodology and equipment used for data acquisition has remained unchanged since the first measurement in 1987. As a result, this dataset compiles more than 20,000 SP measurements and covers an area of almost 200 km². The SP data are intended to serve as the basis for geological models, coupled with geological and other geophysical data, according to the method described in Aubert and Atangana, 1996. After interpolation, SP data can be used to identify preferential groundwater flow paths and to delineate the surface of hydrogeological watersheds. As indicated in the literature, they also be used to identify possible recharge zones or areas of permeability contrast. Elsevier 2023-08-30 /pmc/articles/PMC10493241/ /pubmed/37701713 http://dx.doi.org/10.1016/j.dib.2023.109533 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Aumar, Cyril Labazuy, Philippe Buvat, Solène Delage, Emmanuel Self-potential dataset for mapping groundwater flow patterns in the Chaîne des Puys (Auvergne, France) |
title | Self-potential dataset for mapping groundwater flow patterns in the Chaîne des Puys (Auvergne, France) |
title_full | Self-potential dataset for mapping groundwater flow patterns in the Chaîne des Puys (Auvergne, France) |
title_fullStr | Self-potential dataset for mapping groundwater flow patterns in the Chaîne des Puys (Auvergne, France) |
title_full_unstemmed | Self-potential dataset for mapping groundwater flow patterns in the Chaîne des Puys (Auvergne, France) |
title_short | Self-potential dataset for mapping groundwater flow patterns in the Chaîne des Puys (Auvergne, France) |
title_sort | self-potential dataset for mapping groundwater flow patterns in the chaîne des puys (auvergne, france) |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493241/ https://www.ncbi.nlm.nih.gov/pubmed/37701713 http://dx.doi.org/10.1016/j.dib.2023.109533 |
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