GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico
Access & Use Information
Downloads & Resources
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GeoThermalCloud GitHub Repositoryjl
GeoThermalCloud repository for machine learning hosted on GitHub
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GeoThermalCloud.zipZIP
A complete archive of our GeoThermalCloud framework. The archive includes...
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SmartTensors Webpage LANLgov
SmartTensors for Machine Learning hosted on the Los Alamos National...
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SmartTensors GitHub RepositoryHTML
SmartTensors repository for machine learning hosted on GitHub
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Landing PageLanding Page
Dates
Metadata Created Date | June 24, 2021 |
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Metadata Updated Date | June 25, 2021 |
Metadata Source
- Data.json Data.json Metadata
Harvested from OpenEI data.json
Additional Metadata
Resource Type | Dataset |
---|---|
Metadata Created Date | June 24, 2021 |
Metadata Updated Date | June 25, 2021 |
Publisher | Los Alamos National Laboratory |
Maintainer | |
Doi | 10.15121/1773700 |
Identifier | https://data.openei.org/submissions/4059 |
Data First Published | 2021-03-29T06:00:00Z |
Data Last Modified | 2021-05-17T15:57:18Z |
Public Access Level | public |
Bureau Code | 019:20 |
Metadata Context | https://openei.org/data.json |
Metadata Catalog ID | https://openei.org/data.json |
Schema Version | https://project-open-data.cio.gov/v1.1/schema |
Catalog Describedby | https://project-open-data.cio.gov/v1.1/schema/catalog.json |
Data Quality | True |
Harvest Object Id | 62f57bef-3fa1-4a16-b71a-9df97cff54c7 |
Harvest Source Id | 7cbf9085-0290-4e9f-bec1-91653baeddfd |
Harvest Source Title | OpenEI data.json |
Homepage URL | https://gdr.openei.org/submissions/1297 |
License | https://creativecommons.org/licenses/by/4.0/ |
Old Spatial | {"type":"Polygon","coordinates":-121.4523484375,32.45439109625768,-109.9497640625,32.45439109625768,-109.9497640625,43.82997417540995,-121.4523484375,43.82997417540995,-121.4523484375,32.45439109625768} |
Program Code | 019:006 |
Projectlead | Mike Weathers |
Projectnumber | FY19 AOP 3.1.8.7 |
Projecttitle | Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources |
Source Datajson Identifier | True |
Source Hash | 4f858118c7c2dc45e1008ac980b3878c6bbe7bdd |
Source Schema Version | 1.1 |
Spatial | {"type":"Polygon","coordinates":-121.4523484375,32.45439109625768,-109.9497640625,32.45439109625768,-109.9497640625,43.82997417540995,-121.4523484375,43.82997417540995,-121.4523484375,32.45439109625768} |
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