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Electrical resistivity imaging (ERI) data for characterising crystalline basement structures in Abeokuta, southwestern Nigeria
This article consists of data sets for five (5) traverses of 2D electrical resistivity imaging (ERI) collected in Abeokuta, southwestern Nigeria. ABEM Terrameter (SAS1000/4000) system and dipole-dipole array were used for the data collection. RES2DINV computer program was used to invert the observed...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141815/ https://www.ncbi.nlm.nih.gov/pubmed/30246102 http://dx.doi.org/10.1016/j.dib.2018.07.034 |
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author | Aizebeokhai, Ahzegbobor P. Oni, Adenifesimi A. Oyeyemi, Kehinde D. Ogungbade, Olubukola |
author_facet | Aizebeokhai, Ahzegbobor P. Oni, Adenifesimi A. Oyeyemi, Kehinde D. Ogungbade, Olubukola |
author_sort | Aizebeokhai, Ahzegbobor P. |
collection | PubMed |
description | This article consists of data sets for five (5) traverses of 2D electrical resistivity imaging (ERI) collected in Abeokuta, southwestern Nigeria. ABEM Terrameter (SAS1000/4000) system and dipole-dipole array were used for the data collection. RES2DINV computer program was used to invert the observed apparent resistivity data to obtain 2D inverse model images of resistivity distribution of the subsurface. The 2D resistivity images were used to characterise the subsurface and delineate the crystalline basement features of hydrological importance in the area. |
format | Online Article Text |
id | pubmed-6141815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61418152018-09-21 Electrical resistivity imaging (ERI) data for characterising crystalline basement structures in Abeokuta, southwestern Nigeria Aizebeokhai, Ahzegbobor P. Oni, Adenifesimi A. Oyeyemi, Kehinde D. Ogungbade, Olubukola Data Brief Crystallopgraphy This article consists of data sets for five (5) traverses of 2D electrical resistivity imaging (ERI) collected in Abeokuta, southwestern Nigeria. ABEM Terrameter (SAS1000/4000) system and dipole-dipole array were used for the data collection. RES2DINV computer program was used to invert the observed apparent resistivity data to obtain 2D inverse model images of resistivity distribution of the subsurface. The 2D resistivity images were used to characterise the subsurface and delineate the crystalline basement features of hydrological importance in the area. Elsevier 2018-07-20 /pmc/articles/PMC6141815/ /pubmed/30246102 http://dx.doi.org/10.1016/j.dib.2018.07.034 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 | Crystallopgraphy Aizebeokhai, Ahzegbobor P. Oni, Adenifesimi A. Oyeyemi, Kehinde D. Ogungbade, Olubukola Electrical resistivity imaging (ERI) data for characterising crystalline basement structures in Abeokuta, southwestern Nigeria |
title | Electrical resistivity imaging (ERI) data for characterising crystalline basement structures in Abeokuta, southwestern Nigeria |
title_full | Electrical resistivity imaging (ERI) data for characterising crystalline basement structures in Abeokuta, southwestern Nigeria |
title_fullStr | Electrical resistivity imaging (ERI) data for characterising crystalline basement structures in Abeokuta, southwestern Nigeria |
title_full_unstemmed | Electrical resistivity imaging (ERI) data for characterising crystalline basement structures in Abeokuta, southwestern Nigeria |
title_short | Electrical resistivity imaging (ERI) data for characterising crystalline basement structures in Abeokuta, southwestern Nigeria |
title_sort | electrical resistivity imaging (eri) data for characterising crystalline basement structures in abeokuta, southwestern nigeria |
topic | Crystallopgraphy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141815/ https://www.ncbi.nlm.nih.gov/pubmed/30246102 http://dx.doi.org/10.1016/j.dib.2018.07.034 |
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