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Dataset . 2019
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Dataset . 2019
License: CC BY
Data sources: Datacite
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Dataset . 2019
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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ERT Datasets for the paper of Nickschick et al. (2019) in Solid Earth

Authors: Günther, Thomas; Nickschick, Tobias; Flechsig, Christina; Löbig, Felix; Oppermann, Frank;

ERT Datasets for the paper of Nickschick et al. (2019) in Solid Earth

Abstract

Underlying data for the paper Nickschick, T., Flechsig, C., Mrlina, J., Oppermann, F., Löbig, F. & Günther, T. (2019): Large-scale electrical resistivity tomography in the Cheb Basin (Eger Rift) at an ICDP monitoring drill site to image fluid-related structures. Solid Earth. https://doi.org/10.5194/se-2019-38. The paper contains two types of data: DC resistivity (geoelectrics) ERT data in four profiles ------------------------------------------------------- P1, P2 and P3 represent classical multi-electrode ERT data with a unit electrode spacing of a=5m using the Wenner array. They are a representative selection of in total 8 profiles measured in the frame of the (German) MSc work of F. Loebig (there called P2, P5 and P7) where also the lithological section (Fig. 2) was developed: 1. P1 between Lesinka and Hnevin, 620m long 2. P2 around the Hartousov mofette, 700m long 3. P3 between Hartousov and Kacerov, 700m long The inversion results are shown in Fig. 6a,b,c. The large-scale dataset represents data from a dipole-dipole experiment that is in detail described in the paper (Figs. 3-5) with the inversion result given in Fig. 7a along with borehole data. For location see Fig. 1. For all four profiles we provide - measured data with electrode positions on top and the electrode array (abmn) along with the resistance below, topography at the bottom - the configuration file for the inversion software BERT (see https://gitlab.com/resistivity-net/bert), we used version 2.2.9 from January 2019 - kml/gpx files denoting the positions of the electrode chains (P1-P3) or an Excel file containing the positions in UTM33N Note that for P2 and the large-scale profile the topography needs to be taken into account whereas it is not necessary Users should be able to reproduce the results by calling bert cfgfile all show Gravity data ------------ The data represent a two-column file: 1. position along the ERT profile (projected) in metres 2. Bouguer anomaly in mGal See also special README file in the gravity folder.

{"references": ["Nickschick, T., Flechsig, C., Mrlina, J., Oppermann, F., L\u00f6big, F. & G\u00fcnther, T. (2019): Large-scale electrical resistivity tomography in the Cheb Basin (Eger Rift) at an ICDP monitoring drill site to image fluid-related structures, Solid Earth Discussions, https://doi.org/10.5194/se-2019-38."]}

Keywords

ERT, BERT

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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2
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