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Magnetic resonance sounding dataset of a hard-rock headwater catchment for assessing the vertical distribution of water contents in the subsurface
Magnetic Resonance Sounding (MRS) measurements are acquired at 16 stations in the Strengbach headwater catchment (Vosges Mountains – France). These data, rendering the vertical distribution of water contents in the subsurface, are used to show their potential in conditioning a hydrological model of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243058/ https://www.ncbi.nlm.nih.gov/pubmed/32462069 http://dx.doi.org/10.1016/j.dib.2020.105708 |
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author | Lesparre, Nolwenn Girard, Jean-François Jeannot, Benjamin Weill, Sylvain Dumont, Marc Boucher, Marie Viville, Daniel Pierret, Marie-Claire Legchenko, Anatoly Delay, Frederick |
author_facet | Lesparre, Nolwenn Girard, Jean-François Jeannot, Benjamin Weill, Sylvain Dumont, Marc Boucher, Marie Viville, Daniel Pierret, Marie-Claire Legchenko, Anatoly Delay, Frederick |
author_sort | Lesparre, Nolwenn |
collection | PubMed |
description | Magnetic Resonance Sounding (MRS) measurements are acquired at 16 stations in the Strengbach headwater catchment (Vosges Mountains – France). These data, rendering the vertical distribution of water contents in the subsurface, are used to show their potential in conditioning a hydrological model of the catchment, as described in the article “Magnetic resonance sounding measurements as posterior information to condition hydrological model parameters: Application to a hard-rock headwater catchment” – Journal of Hydrology (2020). Acquisition protocols follow a free induction decay scheme. Data are filtered by applying a band-pass filter at the Larmor frequency. A filter removing the 50 Hz noise is also applied with the exception of data at a Larmor frequency close to the 50 Hz harmonic. The signal envelopes are then fitted by a decaying exponential function over time to estimate the median characteristic relaxation time of each MRS sounding. |
format | Online Article Text |
id | pubmed-7243058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-72430582020-05-26 Magnetic resonance sounding dataset of a hard-rock headwater catchment for assessing the vertical distribution of water contents in the subsurface Lesparre, Nolwenn Girard, Jean-François Jeannot, Benjamin Weill, Sylvain Dumont, Marc Boucher, Marie Viville, Daniel Pierret, Marie-Claire Legchenko, Anatoly Delay, Frederick Data Brief Environmental Science Magnetic Resonance Sounding (MRS) measurements are acquired at 16 stations in the Strengbach headwater catchment (Vosges Mountains – France). These data, rendering the vertical distribution of water contents in the subsurface, are used to show their potential in conditioning a hydrological model of the catchment, as described in the article “Magnetic resonance sounding measurements as posterior information to condition hydrological model parameters: Application to a hard-rock headwater catchment” – Journal of Hydrology (2020). Acquisition protocols follow a free induction decay scheme. Data are filtered by applying a band-pass filter at the Larmor frequency. A filter removing the 50 Hz noise is also applied with the exception of data at a Larmor frequency close to the 50 Hz harmonic. The signal envelopes are then fitted by a decaying exponential function over time to estimate the median characteristic relaxation time of each MRS sounding. Elsevier 2020-05-16 /pmc/articles/PMC7243058/ /pubmed/32462069 http://dx.doi.org/10.1016/j.dib.2020.105708 Text en © 2020 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Environmental Science Lesparre, Nolwenn Girard, Jean-François Jeannot, Benjamin Weill, Sylvain Dumont, Marc Boucher, Marie Viville, Daniel Pierret, Marie-Claire Legchenko, Anatoly Delay, Frederick Magnetic resonance sounding dataset of a hard-rock headwater catchment for assessing the vertical distribution of water contents in the subsurface |
title | Magnetic resonance sounding dataset of a hard-rock headwater catchment for assessing the vertical distribution of water contents in the subsurface |
title_full | Magnetic resonance sounding dataset of a hard-rock headwater catchment for assessing the vertical distribution of water contents in the subsurface |
title_fullStr | Magnetic resonance sounding dataset of a hard-rock headwater catchment for assessing the vertical distribution of water contents in the subsurface |
title_full_unstemmed | Magnetic resonance sounding dataset of a hard-rock headwater catchment for assessing the vertical distribution of water contents in the subsurface |
title_short | Magnetic resonance sounding dataset of a hard-rock headwater catchment for assessing the vertical distribution of water contents in the subsurface |
title_sort | magnetic resonance sounding dataset of a hard-rock headwater catchment for assessing the vertical distribution of water contents in the subsurface |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243058/ https://www.ncbi.nlm.nih.gov/pubmed/32462069 http://dx.doi.org/10.1016/j.dib.2020.105708 |
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