Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Published by Nevada Bureau of Mines and Geology | Department of Energy | Metadata Last Checked: June 28, 2025 | Last Modified: 2022-10-26T16:19:59Z

This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project. A submission linking the full GitHub repository for our machine learning Jupyter Notebooks will appear in the related datasets section of this page once available.

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Complete Metadata

bureauCode	[ "019:20" ]
dataQuality	true
DOI	10.15121/1832126
identifier	https://data.openei.org/submissions/7466
issued	2020-11-01T06:00:00Z
landingPage	https://gdr.openei.org/submissions/1352
programCode	[ "019:006" ]
projectLead	Mike Weathers
projectNumber	EE0008762
projectTitle	Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
spatial	{"type":"Polygon","coordinates":[[[-119.650590625,38.46240993542025],[-114.212459375,38.46240993542025],[-114.212459375,41.008303547852684],[-119.650590625,41.008303547852684],[-119.650590625,38.46240993542025]]]}

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