Electrical resistivity survey data for potential aquifer in Banggi Island, Sabah, Malaysia

The survey data on potential aquifer was collected at two sites located in Banggi Island (i.e. Laksian Primary School [LPS] and Padang Primary School [PPS]), Malaysia on 25 and 26 April 2013. Both locations are geologically surrounded by various types of lithologies, namely, sandstone, mudstone, siltstone, shale, chert, conglomerate, lignite, tuff, limestone, terrace sand, gravel and coral. The resistivity data consisted of six-line pole-dipole short arrays and were recorded in-situ using SAS 4000 ABEM Lund Imaging System, together with a relay switching unit (Electrode Selector ES 464), six m... Mehr ...

Verfasser: Muhd Nur Ismail Abdul Rahman
Hafeez Jeofry
Mohd Sazaly Basarian
Dokumenttyp: Artikel
Erscheinungsdatum: 2020
Reihe/Periodikum: Data in Brief, Vol 32, Iss , Pp 106194- (2020)
Verlag/Hrsg.: Elsevier
Schlagwörter: Aquifer / Banggi Island / Pole-dipole array / Bongaya formation / Chert-spilite formations / 2D resistivity model / Computer applications to medicine. Medical informatics / R858-859.7 / Science (General) / Q1-390
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27641043
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.1016/j.dib.2020.106194

The survey data on potential aquifer was collected at two sites located in Banggi Island (i.e. Laksian Primary School [LPS] and Padang Primary School [PPS]), Malaysia on 25 and 26 April 2013. Both locations are geologically surrounded by various types of lithologies, namely, sandstone, mudstone, siltstone, shale, chert, conglomerate, lignite, tuff, limestone, terrace sand, gravel and coral. The resistivity data consisted of six-line pole-dipole short arrays and were recorded in-situ using SAS 4000 ABEM Lund Imaging System, together with a relay switching unit (Electrode Selector ES 464), six multiconductor cables, steel rod electrodes and jumpers. The data, namely electrode spacing, depth of investigation, subsurface resistivity, type of material and horizontal data coverage were used to assess the characteristics of the potential aquifer. The recorded data were then processed using RES2DINV software to obtain 2-D inversion model of the subsurface. The data were also equipped with six models of inverse resistivity section for both areas. The data obtained can be used by the government and stakeholders for groundwater exploration and extraction in order to provide water supplies for local communities, especially since access to these resources from the surrounding water treatment plants on the island is limited.