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Datasets for Electrical Resistivity Tomography HotBENT-Lab experiment

<p>The dataset comprises Electrical Resistivity Tomography (ERT) data from the HotBENT-Lab experiments, which are aimed at understanding moisture dynamics and related swelling effects in bentonite under thermal-hydrological-mechanical-chemical (THMC) conditions. These experiments simulate environmental conditions similar to those in geological repositories for high-level radioactive waste.</p> <ol> <li> <p><strong>calibration.csv</strong>: This file contains ERT data collected from HotBENT-Lab 2, which was designed to closely mimic field conditions by using a higher dry density (1.45 g/cm&sup3;) and reduced initial water content (5.3%). The dataset includes detailed electrical conductivity measurements over time and across the experimental columns, which were used to estimate water content and track changes due to swelling effects.</p> </li> <li> <p><strong>c1c2_midtc_data.csv</strong>: This file contains ERT data from HotBENT-Lab 1, which serves as a foundational experiment with a lower dry density (1.2 g/cm&sup3;) and higher initial water content (18%). This dataset captures early-stage moisture distribution and temperature effects, allowing for comparative analysis of swelling and conductivity changes.</p> </li> </ol> <p>Both datasets are integral for validating the multi-scale ERT-based framework used to estimate moisture dynamics and assess the scalability of petrophysical models in controlled laboratory conditions.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

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