Marine Geoscience Data System

Data DOI: 10.1594/IEDA/324326

Citation:
Atekwana, Estella, et al., (2018), 2-D Electrical Resistivity Tomography (ERT) Data for Karonga, Northern Malawi Rift (2015, investigators Estella Atekwana, Daniel Lao-Davila, Folarin Kolawole). Marine Geoscience Data System (MGDS). doi:10.1594/IEDA/324326
Title:
2-D Electrical Resistivity Tomography (ERT) Data for Karonga, Northern Malawi Rift (2015, investigators Estella Atekwana, Daniel Lao-Davila, Folarin Kolawole)
Abstract:
This data set contains processed 2-D electrical resistivity tomography data acquired in July 2015 in the Karonga area of northern Malawi Rift. It was collected using a dipole–dipole array with an Iris Syscal Pro 10-channel resistivity meter. There were 72 electrodes with 10 m electrode spacing. The goal of the survey was to image the structure of the near-surface deformation along the trend of coseismic surface rupture of the St. Mary Fault associated with the 2009 Mw 6.0 Karonga, Malawi earthquake. The data consists of a NNW-SSE profile along the trend of the surface ruptures (Profile 1), and two roughly E-W profiles oriented perpendicular to and across the trend of the surface ruptures (Profiles 2 and 3). Profile 1 is 1070 m long, and Profiles 2 and 3 are 710 m long. The ERT data contains topography information. The data files are in the RES2DINV software ASCII format. More information on the format can be found in the RES2DINV manual at http://www.geotomosoft.com/downloads.php. They were generated as part of the projects called Integrated studies of early stages of continental extension: From incipient (Okavango) to young (Malawi) rifts, and IRES: Research Opportunities in Continental Rift Initiation for U.S. Undergraduate Geoscience Students in Malawi. Funding was provided by NSF awards EAR 1009988 and OISE 1358150. The 2015 Malawi data acquisition team included five 2015 International Research Experience for Students (IRES) participants: B. Clappe, C. Hull, T. Johnson, V. Nyalugwe, and S. Dawson.
Creator(s):
Atekwana, Estella
Lao-Davila, Daniel
Kolawole, Folarin
Date Available:
2018-03-01
Date Created:
2018-01-05
Data Type(s):
Resistivity
Resource Type:
Dataset
File Format(s):
text/plain
Funding source(s):
National Science Foundation: 1009988
National Science Foundation: 1358150
Data Curated by:
Version:
1
Language:
en
License:
Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC BY-NC-SA 3.0] URI: http://creativecommons.org/licenses/by-nc-sa/3.0/us/

Related Information

IsPartOf:
IsSupplementedBy: