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Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project. This software is licensed as free to use, modify, and distribute with attribution. Full license details are included within the archive. See "documentation.zip" for setup instructions and file trees annotated with module descriptions.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Elijah Mlawsky",
"@type": "vcard:Contact",
"hasEmail": "mailto:emlawsky@unr.edu"
}
|
| dataQuality |
true
|
| description | Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project. This software is licensed as free to use, modify, and distribute with attribution. Full license details are included within the archive. See "documentation.zip" for setup instructions and file trees annotated with module descriptions. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Data.zip",
"format": "zip",
"accessURL": "https://gdr.openei.org/files/1402/PFA_ML_Sandbox_Data.zip",
"mediaType": "application/zip",
"description": "Project-specific input data formatted for use in Python modules ("Essentials"). For additional information, see "annotated_file_tree_Data.txt" within documentation."
},
{
"@type": "dcat:Distribution",
"title": "Essentials - Python modules.zip",
"format": "zip",
"accessURL": "https://gdr.openei.org/files/1402/PFA_ML_Sandbox_Essentials.zip",
"mediaType": "application/zip",
"description": "Python modules and Jupyter Notebooks. For additional information, see "annotated_file_tree_Essentials.txt" within documentation."
},
{
"@type": "dcat:Distribution",
"title": "Results.zip",
"format": "zip",
"accessURL": "https://gdr.openei.org/files/1402/PFA_ML_Sandbox_Results.zip",
"mediaType": "application/zip",
"description": "Project-specific output models. For additional information, see "annotated_file_tree_Results.txt" within documentation."
},
{
"@type": "dcat:Distribution",
"title": "Documentation.zip",
"format": "zip",
"accessURL": "https://gdr.openei.org/files/1402/documentation.zip",
"mediaType": "application/zip",
"description": "Annotated file trees, module descriptions, setup instructions, and license."
}
]
|
| DOI | 10.15121/1897035 |
| identifier | https://data.openei.org/submissions/7512 |
| issued | 2022-06-30T06:00:00Z |
| keyword |
[
"Great Basin",
"Nevada",
"PFA",
"algorithm",
"ann",
"artificial neural network",
"bayesian neural network",
"bnn",
"charaterization",
"code",
"data",
"documentation",
"energy",
"exploration",
"geothermal",
"geotiff",
"git",
"jupyter",
"jupyter notebook",
"machine learning",
"model",
"nmfk",
"non-negative matrix factorization",
"pandas",
"pca",
"principal component analysis",
"python",
"pytorch",
"results",
"script"
]
|
| landingPage | https://gdr.openei.org/submissions/1402 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2022-11-07T07:37:06Z |
| 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":[[[-119.9142625,38.39355730882018],[-114.212459375,38.39355730882018],[-114.212459375,41.864861026951],[-119.9142625,41.864861026951],[-119.9142625,38.39355730882018]]]}"
|
| title | Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada |
