USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevada. The geophysics data include map surfaces related to gravity and magnetic data, and line and point data derived from those surfaces. Heat flow data include an interpolated map of heat flow in mW/m^2, an error surface, and well data used to construct them. The dilation and slip tendency information exist as attributes assigned to each line segment of mapped faults and geophysical lineaments.

GDR submission contains link to official USGS data release. Additional metadata available on source DOI page.

Data e Risorse

Campo Valore
accessLevel public
bureauCode {019:20}
catalog_@context https://openei.org/data.json
catalog_@id https://openei.org/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
dataQuality true
datagov_dedupe_retained 20250120155001
identifier https://data.openei.org/submissions/7463
issued 2021-06-01T06:00:00Z
landingPage https://gdr.openei.org/submissions/1349
license https://creativecommons.org/licenses/by/4.0/
modified 2022-10-07T20:33:25Z
old-spatial {"type":"Polygon","coordinates":[[[-119.826371875,38.35910638319357],[-114.3442953125,38.35910638319357],[-114.3442953125,41.897579646871705],[-119.826371875,41.897579646871705],[-119.826371875,38.35910638319357]]]}
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
publisher Nevada Bureau of Mines and Geology
resource-type Dataset
source_datajson_identifier true
source_hash 81ed9987d6a916b126f8a0624a2575c3bac4ebaefa26026d580e4afcf44c3540
source_schema_version 1.1
spatial {"type":"Polygon","coordinates":[[[-119.826371875,38.35910638319357],[-114.3442953125,38.35910638319357],[-114.3442953125,41.897579646871705],[-119.826371875,41.897579646871705],[-119.826371875,38.35910638319357]]]}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • characterization
  • dilation
  • energy
  • exploration
  • faults
  • geophisics
  • geophysics
  • geothermal
  • geotiffs
  • gravity
  • great-basin
  • heat-flow
  • hydrothermal
  • machine-learning
  • magnetics
  • nevada
  • pfa
  • slip
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer James Faulds
maintainer_email jfaulds@unr.edu
metadata_created 2025-09-23T18:26:09.248785
metadata_modified 2025-09-23T18:26:09.248792
notes This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevada. The geophysics data include map surfaces related to gravity and magnetic data, and line and point data derived from those surfaces. Heat flow data include an interpolated map of heat flow in mW/m^2, an error surface, and well data used to construct them. The dilation and slip tendency information exist as attributes assigned to each line segment of mapped faults and geophysical lineaments. GDR submission contains link to official USGS data release. Additional metadata available on source DOI page.
num_resources 1
num_tags 26
title USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada