INGENIOUS Great Basin Geothermal Data with Zanskar Processing

This dataset contains public geothermal and geophysical data for the Great Basin region of the United States, including well and spring data, fault locations, volcanic centers, earthquake locations, gravity, conductance, magnetics, and depth to basement. It can be used for geothermal energy exploration, energy demand forecasting, earth science research, and environmental studies.

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The original publicly available data was originally compiled by the **IN**novative **G**eothermal **E**xploration through **N**ovel **I**nvestigations **O**f **U**ndiscovered **S**ystems (INGENIOUS) project by the Great Basin Center for Geothermal Energy (GBCGE), Nevada Bureau of Mines and Geology (NBMG), and University of Nevada, Reno (UNR). The original public data can be accessed at https://gdr.openei.org/submissions/1391<br/>

Note this is NOT the original data provided by INGENIOUS. This data has been mapped to a 1 km mesh grid to facilitate quick analysis and machine learning. The H3 features added by Zanskar Geothermal & Minerals allow the data to be quickly aggregated or joined with other datasets for use in geospatial machine learning. (See https://h3geo.org/ for more information.)

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This data share contains 11 geospatial tables useful for geothermal exploration:

- CONDUCTANCE_GRIDS_INGENIOUS
- DEPTH_TO_BASEMENT_GRID_INGENIOUS
- EARTHQUAKE_DENSITY_N100A15_GRID_INGENIOUS
- FAULT_GEOMETRY_INGENIOUS, GB_VENTS_INGENIOUS
- GEODETIC_GRIDS_INGENIOUS
- GRAVITY_HGM_GRID_INGENIOUS
- HEATFLOW_GRID_INGENIOUS
- INGENIOUS_SPRING_TEMPERATURE
- INGENIOUS_WELL_FEATURES
- MAGNETIC_RTP_HGM_GRID_INGENIOUS

We also provide a grid with H3 blocks and the corresponding latitude and longitude of the grid center points. This table can be used to map additional features to the same grid.

- INGENIOUS_GRID_EXTENT

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Zanskar processing details:<br/>The data was sampled using an H3 grid resolution of 8, which has an average edge length of 0.531 km, for a full grid size of 679,826 cells. The distance to quaternary volcanic centers was calculated with Snowflake's k-ring distance transformation H3_GRID_DISK. Similarly, faults were buffered to a larger size also with H3_GRID_DISK. A k-ring distance of 10 km was used for faults and 20 for volcanic centers. For raster datasets, the publicly available geospatial tool QGIS was used to sample values onto the H3 grid. Point and line geometries were converted to H3 cells using Snowflake tools such as H3_COVERAGE_STRINGS and H3_LATLNG_TO_CELL_STRING, ensuring spatial alignment and consistency across datasets.<br/><br/>For more details on the data processing and how this data can help in geothermal exploration, please see https://pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2025/Grujic.pdf