Published September 30, 2025 | Version v1
Dataset Open

Seismoelectric Method and Machine Learning Integration for Non-Invasive Vertical Hydraulic Conductivity Estimation

Authors/Creators

  • 1. Universidad del Bío-Bío
  • 2. G-strata company
  • 3. ROR icon Universidad Andrés Bello
  • 4. University of Talca
  • 5. Universidad de Talca Facultad de Ingeniería
  • 6. universidad del Bío-Bío
  • 7. ROR icon University of Bío-Bío

Description

Consolidated data from observations made using the Aqualocate GF6 system applying the seismic-electrical method. The data contains:
1. Identification of the observation point.
2. Geolocation.
3. Surface potential measurements.
4. Created variables.
5. Target variable: hydraulic conductivity.

Files

seismo_electric_data.csv

Files (100.8 MB)

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md5:b4ba59959cf3b3f1c46d54b662a12015
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