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Magnetotelluric and Transient Electromagnetic data from the Main Ethiopian Rift

Dataset title Magnetotelluric and Transient Electromagnetic data from the Main Ethiopian Rift
Dataset creators Juliane Huebert, British Geological Survey
Kathy Whaler, University of Edinburgh
Dataset theme Geoscientific Information
Dataset abstract This data set includes the original time series collected with broadband and long-period MT instruments during two field seasons in 2016 and 2017 by a team of researchers from the University of Edinburgh, UK and the Institute for Geophysics, Space Science and Astronomy at Addis Ababa university, Ethiopia. For the magnetotelluric stations, processed transfer functions are included in the edi file format. The time series data is provided both in the original raw data format and an ascii version. We provide information on the locations and the processing and include the necessary instrument response functions and metadata to reproduce our results from the raw data.
Dataset content dates 25/01/2016 to 07/05/2017
Dataset spatial coverage Main Ethiopian Rift, Lakes region
7-8.5°N, 38-39.5°E
Dataset supply format Timeseries: original raw binary in manufacturer specific format (Phoenix, Lemi) and converted asci files
Transfer functions: edi format ( https://www.mtnet.info/docs/ediformat.txt)
Dataset language English-United Kingdom
Dataset discovery metadata record Discovery Link to the dataset's BGS Discovery Metadata record
Dataset publisher British Geological Survey
Dataset publication date 19th August 2020
Dataset digital object identifier(DOI) 10.5285/2fb02ed4-5f50-4c14-aeec-27ee13aafc38
Dataset citation text Huebert, J., Whaler, K. (2020): Magnetotelluric and Transient Electromagnetic data from the Main Ethiopian Rift. British Geological Survey. (Dataset). https://doi.org/10.5285/2fb02ed4-5f50-4c14-aeec-27ee13aafc38
Constraints and terms of use This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]".
Access the dataset https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item137071
Further information https://www.riftvolc.geos.ed.ac.uk/