Data and scripts underlying the publication: Global search inversion for electromagnetic induction data using layered models

DOI:10.4121/04ee8881-c4be-4c37-acbc-ca16efdf638d.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: 10.4121/04ee8881-c4be-4c37-acbc-ca16efdf638d
Datacite citation style:
Carrizo Mascarell, Maria; Werthmüller, dieter; Slob, Evert (2024): Data and scripts underlying the publication: Global search inversion for electromagnetic induction data using layered models. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/04ee8881-c4be-4c37-acbc-ca16efdf638d.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

Delft University of Technology logo

Geolocation

Ackerdijkse Plassen, The Netherlands

Time coverage

2023

Licence

CC BY 4.0

The repository contains Python scripts to calculate lookup tables using semi-analytic and low induction number approximation forward models of frequency domain electromagnetic induction measurements of 2-layered electrical conductivity earth models. Additionaly, the repository holds field data acquired using a DUALEM842s instrument. Finally, Jupyter Notebooks scripts to display the results.

History

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

Publisher

4TU.ResearchData

Format

python

Funding

  • Rijksdienst voor Ondernemend Nederland (RVO) project WarmingUP (project number TEUE819001)

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/92494f17-c1aa-4c07-b79e-7ae08c3da4ed.git "NSG2023-EMinversion"

Or download the latest commit as a ZIP.