Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
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.
Resources
2 resources available
-
Geochem and Geothermometry 2020.zip
ZIP -
Paleo-Geochem Features 2020.zip
ZIP
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "019:20" ] |
| contactPoint |
{ "fn": "James Faulds", "@type": "vcard:Contact", "hasEmail": "mailto:jfaulds@unr.edu" } |
| dataQuality |
true
|
| description | 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. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Geochem and Geothermometry 2020.zip", "format": "zip", "accessURL": "https://gdr.openei.org/files/1352/geochem_geothermometry_2020.zip", "mediaType": "application/zip", "description": "Shapefile containing geochemistry and geothermometry datasets used to derive input grids machine learning models for the Nevada Play Fairway study area. UTM NAD 83 zone 11." }, { "@type": "dcat:Distribution", "title": "Paleo-Geochem Features 2020.zip", "format": "zip", "accessURL": "https://gdr.openei.org/files/1352/paleo_geochem_features_2020.zip", "mediaType": "application/zip", "description": "Shapefile containing paleo-geothermal features used to derive input grids machine learning models for the Nevada Play Fairway study area. UTM NAD 83 zone 11." } ] |
| DOI | 10.15121/1832126 |
| identifier | https://data.openei.org/submissions/7466 |
| issued | 2020-11-01T06:00:00Z |
| keyword |
[ "Machine Learning", "Nevada", "Play Fairway", "characterization", "code", "energy", "geochemistry", "geophysics", "geospatial", "geospatial data", "geothermal", "geothermometry", "paleo-geothermal", "sinter", "travertine", "tufa" ] |
| landingPage | https://gdr.openei.org/submissions/1352 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2022-10-26T16:19:59Z |
| 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 |
{ "name": "Nevada Bureau of Mines and Geology", "@type": "org:Organization" } |
| spatial |
"{"type":"Polygon","coordinates":[[[-119.650590625,38.46240993542025],[-114.212459375,38.46240993542025],[-114.212459375,41.008303547852684],[-119.650590625,41.008303547852684],[-119.650590625,38.46240993542025]]]}"
|
| title | Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada |
