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Geoelectrical resistivity data set for characterising crystalline basement aquifers in Basiri, Ado-Ekiti, southwestern Nigeria

This article consists of data sets for thirty (30) vertical electrical sounding (VES) and four (4) traverses of 2D electrical resistivity imaging (ERI) collected within, Ado-Ekiti, southwestern Nigeria using an ABEM Terrameter (SAS 1000/4000) system. Win-Resist computer program was used to process t...

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Autores principales: Aizebeokhai, Ahzegbobor P., Ogungbade, Olubukola, Oyeyemi, Kehinde D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997927/
https://www.ncbi.nlm.nih.gov/pubmed/29900377
http://dx.doi.org/10.1016/j.dib.2018.05.091
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author Aizebeokhai, Ahzegbobor P.
Ogungbade, Olubukola
Oyeyemi, Kehinde D.
author_facet Aizebeokhai, Ahzegbobor P.
Ogungbade, Olubukola
Oyeyemi, Kehinde D.
author_sort Aizebeokhai, Ahzegbobor P.
collection PubMed
description This article consists of data sets for thirty (30) vertical electrical sounding (VES) and four (4) traverses of 2D electrical resistivity imaging (ERI) collected within, Ado-Ekiti, southwestern Nigeria using an ABEM Terrameter (SAS 1000/4000) system. Win-Resist computer program was used to process the apparent resistivity data sets for the VES to determine the geoelectric layers and their respective parameters (resistivity and thickness). The observed data sets for the 2D ERI were processed using RES2DINV software to obtain 2D inverse model resistivity distribution of the subsurface. The resistivity soundings and the 2D ERI were combined to delineate and characterise the crystalline basement features associated with basement aquifers.
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spelling pubmed-59979272018-06-13 Geoelectrical resistivity data set for characterising crystalline basement aquifers in Basiri, Ado-Ekiti, southwestern Nigeria Aizebeokhai, Ahzegbobor P. Ogungbade, Olubukola Oyeyemi, Kehinde D. Data Brief Earth and Planetary Science This article consists of data sets for thirty (30) vertical electrical sounding (VES) and four (4) traverses of 2D electrical resistivity imaging (ERI) collected within, Ado-Ekiti, southwestern Nigeria using an ABEM Terrameter (SAS 1000/4000) system. Win-Resist computer program was used to process the apparent resistivity data sets for the VES to determine the geoelectric layers and their respective parameters (resistivity and thickness). The observed data sets for the 2D ERI were processed using RES2DINV software to obtain 2D inverse model resistivity distribution of the subsurface. The resistivity soundings and the 2D ERI were combined to delineate and characterise the crystalline basement features associated with basement aquifers. Elsevier 2018-05-23 /pmc/articles/PMC5997927/ /pubmed/29900377 http://dx.doi.org/10.1016/j.dib.2018.05.091 Text en © 2018 The Authors http://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 Earth and Planetary Science
Aizebeokhai, Ahzegbobor P.
Ogungbade, Olubukola
Oyeyemi, Kehinde D.
Geoelectrical resistivity data set for characterising crystalline basement aquifers in Basiri, Ado-Ekiti, southwestern Nigeria
title Geoelectrical resistivity data set for characterising crystalline basement aquifers in Basiri, Ado-Ekiti, southwestern Nigeria
title_full Geoelectrical resistivity data set for characterising crystalline basement aquifers in Basiri, Ado-Ekiti, southwestern Nigeria
title_fullStr Geoelectrical resistivity data set for characterising crystalline basement aquifers in Basiri, Ado-Ekiti, southwestern Nigeria
title_full_unstemmed Geoelectrical resistivity data set for characterising crystalline basement aquifers in Basiri, Ado-Ekiti, southwestern Nigeria
title_short Geoelectrical resistivity data set for characterising crystalline basement aquifers in Basiri, Ado-Ekiti, southwestern Nigeria
title_sort geoelectrical resistivity data set for characterising crystalline basement aquifers in basiri, ado-ekiti, southwestern nigeria
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997927/
https://www.ncbi.nlm.nih.gov/pubmed/29900377
http://dx.doi.org/10.1016/j.dib.2018.05.091
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