GIS datasets: A data-driven approach to understanding the relations between geothermal exploration parameters: insights from Coso, Brady and Desert Peak, USA
收藏DataCite Commons2025-09-09 更新2026-04-25 收录
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https://geolsoc.figshare.com/articles/dataset/GIS_datasets_A_data-driven_approach_to_understanding_the_relations_between_geothermal_exploration_parameters_insights_from_Coso_Brady_and_Desert_Peak_USA/30084007/1
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资源简介:
GIS datasets that were used in the study. The GIS data can be opened in either QGIS or ArcGIS. The files are separated into the folders 'CGF' and 'BGF-DPGF'. The root folders contain the research areas (ROI) and locations.
The 'Indicator mineral' folder contains the initial Mineral Mapping raster of the five target minerals (Alu., Chd., Hem., Kln., and Opl.), which were converted to the point data of Two-Class Mineral Maps (including a Non-Prediction dataset for areas without mapped minerals). The folder also includes normalized Mineral Density Maps.
The 'Fault' folder contains the initial Fault Traces, Fault Distance Maps, and normalized Fault Density Maps.
The 'LST' folder contains normalized Multiclass Temperature Maps, and the Two-class Temperature Maps that include both converted point data of high temperature (HT) areas and low temperature (LT) areas.
提供机构:
Geological Society of London
创建时间:
2025-09-09



