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GIS Resource Compilation Map Package - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups include: new/revised datasets (paleo-geothermal features, geochemistry, geophysics, heat flow, slip and dilation, potential structures, geothermal power plants, positive and negative test sites), machine learning model input grids, machine learning models (Artificial Neural Network (ANN), Extreme Learning Machine (ELM), Bayesian Neural Network (BNN), Principal Component Analysis (PCA/PCAk), Non-negative Matrix Factorization (NMF/NMFk) - supervised and unsupervised), original NV Play Fairway data and models, and NV cultural/reference data.
See layer descriptions for additional metadata.
Smaller GIS resource packages (by category) can be found in the related datasets section of this submission. A submission linking the full codebase for generating machine learning output models is available through the "Related Datasets" link on this page, and contains results beyond the top picks present in this compilation.
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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 | This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups include: new/revised datasets (paleo-geothermal features, geochemistry, geophysics, heat flow, slip and dilation, potential structures, geothermal power plants, positive and negative test sites), machine learning model input grids, machine learning models (Artificial Neural Network (ANN), Extreme Learning Machine (ELM), Bayesian Neural Network (BNN), Principal Component Analysis (PCA/PCAk), Non-negative Matrix Factorization (NMF/NMFk) - supervised and unsupervised), original NV Play Fairway data and models, and NV cultural/reference data. See layer descriptions for additional metadata. Smaller GIS resource packages (by category) can be found in the related datasets section of this submission. A submission linking the full codebase for generating machine learning output models is available through the "Related Datasets" link on this page, and contains results beyond the top picks present in this compilation. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "NV PFA Machine Learning GIS Compilation.mpk",
"format": "mpk",
"accessURL": "https://gdr.openei.org/files/1350/ML_standalone_package_20220825.mpk",
"mediaType": "application/octet-stream",
"description": "Standalone ESRI map package containing GIS resources for the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project."
}
]
|
| DOI | 10.15121/1897037 |
| identifier | https://data.openei.org/submissions/7464 |
| issued | 2021-06-01T06:00:00Z |
| keyword |
[
"ANN",
"BNN",
"ELM",
"GIS",
"Machine Learning",
"Map Package",
"NMF",
"Nevada",
"PCA",
"PFA",
"Play Fairway",
"characterization",
"cultural",
"data",
"dilation",
"dlip",
"energy",
"exploration",
"geochemistry",
"geodatabase",
"geophysics",
"geothermal",
"great basin",
"heat flow",
"hydrothermal",
"models",
"paleo-geothermal features",
"processed data",
"slip and dilation",
"structure",
"supervised",
"test sittes",
"unsupervised"
]
|
| landingPage | https://gdr.openei.org/submissions/1350 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2022-11-07T07:37:53Z |
| 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":[[[-119.7824265625,38.221138707176905],[-114.4321859375,38.221138707176905],[-114.4321859375,41.79937353323447],[-119.7824265625,41.79937353323447],[-119.7824265625,38.221138707176905]]]}"
|
| title | GIS Resource Compilation Map Package - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada |
