Data for: Time-series clustering approaches for subsurface zonation and hydrofacies detection using a real time-lapse electrical resistivity dataset

Published: 16 November 2020| Version 2 | DOI: 10.17632/zh5b88vn78.2
Contributors:
Damien Delforge,
Arnaud Watlet,
Olivier Kaufmann,
Michel Van Camp,
Marnik Vanclooster

Description

Supplementary materials for: Delforge, D.; Watlet, A.; Kaufmann, O.; Van Camp, M.; Vanclooster, M. Time-series clustering approaches for subsurface zonation and hydrofacies detection using a real time-lapse electrical resistivity dataset. Journal of Applied Geophysics 2020, 104203, doi:10.1016/j.jappgeo.2020.104203. The shared supplementary materials contain pre-processed ERT data based on the original ERT Data available from Watlet et al. (2018). Code recipes for clustering the ERT dataset using the Scikit-learn library are available in the form of a self-explanatory Jupyter notebook. Please, to cite the data, refer first to the original data repository: Watlet, A., Kaufmann, O., Triantafyllou, A., Poulain, A., Chambers, J. E., Meldrum, P. I., Wilkinson, P. B., Hallet, V., Quinif, Y., Van Ruymbeke, M. and Van Camp, M.: Data And Results For Manuscript “Imaging Groundwater Infiltration Dynamics In Karst Vadose Zone With Long-Term Ert Monitoring,” , doi:10.5281/zenodo.1158631, 2018.

Files