Data and scripts underlying the publication: Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements
doi:10.4121/c0c3dda2-9933-474a-8a38-0b3897571966.v1
The doi 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/c0c3dda2-9933-474a-8a38-0b3897571966
doi: 10.4121/c0c3dda2-9933-474a-8a38-0b3897571966
Datacite citation style:
Carrizo Mascarell, Maria; Werthmüller, dieter; Slob, Evert (2024): Data and scripts underlying the publication: Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/c0c3dda2-9933-474a-8a38-0b3897571966.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
CC BY 4.0
The repository contains Python scripts to perform global and local inversion algorithms of frequency domain electromagnetic induction measurements of 2-layered and 3-layered electrical conductivity earth models. Additionally, the repository holds field data acquired using a DUALEM842s instrument and the Python scripts to perform the inversion algorithms of this field data. Finally, Jupyter Notebooks scripts to display the results.
history
- 2024-10-10 first online, published, posted
publisher
4TU.ResearchData
format
python
associated peer-reviewed publication
Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements
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
DATA
To access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/95ffec64-0d4f-40cf-884e-8006ed31bb06.git "MC_RB_EM_1D"
