Data and code underlying the publication: Integrating electromagnetic induction measurements and electrical resistivity tomography to monitor rainwater lenses in Dutch polders

DOI:10.4121/8f3c044d-db51-41d5-addc-f5e33333aa44.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/8f3c044d-db51-41d5-addc-f5e33333aa44
Datacite citation style:
Carrizo Mascarell, Maria; Riakhi, Fatima Ezzahra; Werthmüller, dieter; Slob, Evert; van Breukelen, Boris M (2024): Data and code underlying the publication: Integrating electromagnetic induction measurements and electrical resistivity tomography to monitor rainwater lenses in Dutch polders. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/8f3c044d-db51-41d5-addc-f5e33333aa44.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

This repository holds Jupyter Notebooks to perform an integrated inversion of frequency domain electromagnetic induction measurements and electrical resistive tomography. The purpose of the study was to characterize the subsoil's electrical properties. Field data was acquired in De Cocksdorp, The Netherlands

History

  • 2024-10-10 first online, published, posted

Publisher

4TU.ResearchData

Format

python

Funding

  • AGRICOAST (grant code KICH1.LWV02.20.002) [more info...] Netherlands Organization for Scientific Research (NWO)

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Engineering

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/929e4b16-9c14-41c9-8a9a-ada6f124dd88.git "EMI-ERT_Freshwater"

Or download the latest commit as a ZIP.