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

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

Software

• Geophysics
• Earth Sciences

electromagnetic induction, frequency domain electromagnetics, inversion

2024

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Maria Carrizo Mascarell , dieter Werthmüller , Evert Slob

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.

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

4TU.ResearchData

python

Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements

https://github.com/mariacarrizo/MC_RB_EM_1D

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

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