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U.S. Wind and Solar PV Supply Curves with Future Land-use Change

This dataset provides future supply curves representing the total resource potential for land-based wind and solar photovoltaic (PV) deployment in the conterminous United States after accounting for the impact of land-use and land-cover change (LULC). We use LULC projections from ...
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Jan 10, 2024
4 Resources
0 Stars
Publicly accessible

Remotely Sensed Thermal Anomalies in Western Colorado

This layer contains the areas identified as areas of anomalous surface temperature from Landsat satellite imagery in Western Colorado. Data was obtained for two different dates. The digital numbers of each Landsat scene were converted to radiance and the temperature was calculated...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
0 Stars
Publicly accessible

Bureau of Land Management (BLM) Public Lands in geothermal potential area

The dataset is a GIS layer displaying BLM public lands that lie within an area that has geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Open information http://www.doi.gov/privacy.cfm
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation

2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model

This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provid...
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Mar 25, 2025
9 Resources
0 Stars
Publicly accessible

County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model

This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly ...
Cole, W. et al National Renewable Energy Laboratory (NREL)
Aug 01, 2023
5 Resources
2 Stars
Publicly accessible

Closed BLM public lands: Areas of Critical Environmental Concern (ACEC)

A GIS layer of Areas of Critical Environmental Concern (ACEC) that are within public lands managed by the U.S. Bureau of Land Management (BLM). The GIS layers were used by BLM in the nationwide Geothermal Resources Leasing Programmatic Environmental Impact Statement (PEIS). Some o...
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation

Closed National Forest Service Lands: Geothermal Leases Not Permitted

The U.S. Bureau of Land Management (BLM) released a series of GIS layers of National Forest Service Lands that area closed to goethermal leasing (leases are not granted in these areas). The various types of areas included in this set of GIS layers are: National Monuments, National...
Hallett, K. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
5 Resources
0 Stars
In curation

Closed BLM Public Lands: Geothermal Leases Not Permitted

The U.S. Bureau of Land Management (BLM) released a series of GIS layers of public lands closed to geothermal leases (obtaining leases is not permitted in these regions). The various types of closed areas included here are: National Monuments, National Recreation Areas, National C...
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jun 30, 2010
5 Resources
0 Stars
In curation

Programs and Code for Geothermal Exploration Artificial Intelligence

The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Moraga, J. Colorado School of Mines
Apr 27, 2021
11 Resources
0 Stars
Publicly accessible

Appendices for Geothermal Exploration Artificial Intelligence Report

The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
Publicly accessible

Geothermal Geodatabase for Rico Hot Springs Area and Lemon Hot Springs, Dolores and San Miguel Counties, Colorado

This geodatabase was built to cover several geothermal targets developed by Flint Geothermal in 2012 during a search for high-temperature systems that could be exploited for electric power development. Several of the thermal springs have geochemistry and geothermometry values indi...
Zehner, R. Flint Geothermal, LLC
Nov 01, 2012
1 Resources
0 Stars
Publicly accessible

Geothermal Potential Area

A GIS layer from the BLM nationwide PEIS displaying geothermal potential areas in the United States. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Made open by BLM http://www.doi.gov/privacy.cfm
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation

National Forest System Lands in geothermal potential area

A GIS layer from the BLM nationwide PEIS of lands within the U.S. National Forest system that contain geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Made open by BLM. http://www.doi.gov/privacy.cfm
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation

National Parks within the geothermal potential area

A GIS layer from the BLM nationwide PEIS of National Parks within the geothermal potential area, not part of the project area and closed to leasing for geothermal projects. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Made o...
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation

Pending Geothermal lease applications

A GIS layer of pending Geothermal lease applications from Volume II of the BLM's Programmatic EIS to analyze and expedite the leasing of BLM-and FS-administered lands with high potential for renewable geothermal resources in 11 Western states and Alaska. The GIS layer contains ....
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation

North and South Dakota High Resolution 50m Wind Resource

Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
Publicly accessible

Renewable Energy Potential Model: Geothermal Supply Curves

The Renewable Energy Potential (reV) model is a geospatial platform for estimating technical potential and developing renewable energy supply curves, initially developed for wind and solar technologies. The model evaluates deployment constraints, considering land use, environmenta...
Trainor-Guitton, W. et al National Renewable Energy Laboratory
Aug 21, 2023
3 Resources
0 Stars
Publicly accessible

USGS National Oil and Gas Assessment: GIS Data

The USGS Central Region Energy Team assessed the oil and gas resources of the United States. Cell maps for each oil and gas production area were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play...
Hallett, K. and USGS, . National Renewable Energy Laboratory
Mar 25, 1996
6 Resources
0 Stars
In curation

Fairbanks Timber Sales (2007)

This .kml file allows you to view (in Google Earth) timber sales sold by the State of Alaska, Department of Natural Resources, Devision of Forestry, Fairbanks Area, between 1963 and 2007. The purpose of this map is to compile all the timber sales in one dataset to allow querying o...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
May 31, 2007
2 Resources
0 Stars
In curation

Washington Geothermal Play Fairway Analysis Data From Potential Field Studies

A recent study which adapts play fairway analysis (PFA) methodology to assess geothermal potential was conducted at three locations (Mount Baker, Mount St. Helens seismic zone, and Wind River valley) along the Washington Cascade Range (Forson et al. 2017). Potential field (gravity...
Anderson, M. et al Washington Geological Survey
Dec 20, 2017
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Phase 3 Native State Model 2022 Update

This is the Phase 3 native state model update. The Phase 3 numerical model represents a significant subsurface volume below the FORGE site footprint. The model domain of 4.0 km x 4.0 km x 4.2 km is located approximately between depths of 4000 to 4200 meters below land surface. Thi...
Podgorney, R. and Liu, R. Idaho National Laboratory
Jul 29, 2022
1 Resources
0 Stars
Publicly accessible

Atlantic Outer Continental Shelf GIS Data

The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) published GIS data of offshore information for the Atlantic Region. The data are available as ESRI ArcGIS files. The types of data include: boundary of US jurisdiction for ...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
Oct 11, 2010
12 Resources
0 Stars
In curation

Washington Geothermal Play Fairway Analysis Heat, Permeability, and Fracture Model Data

This submission contains raster and vector data for the entire state of Washington, with specific emphasis on the three geothermal play fairway sites: Mount St. Helens seismic zone (MSHSZ), Wind River valley (WRV), and Mount Baker (MB). Data are provided for 3 major geothermal mo...
Steely, A. et al Washington Geological Survey
Dec 07, 2017
9 Resources
0 Stars
Publicly accessible

Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak

The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: brady_som_output.gri, brady_som_output.grd, brady_som_output.* desert_som_output.gri, desert_som_output.grd, desert_som_outpu...
Moraga, J. et al Colorado School of Mines
Sep 01, 2020
16 Resources
0 Stars
Publicly accessible

Afghanistan Wind Power Density at 50-m Above Ground Level GIS Data

This dataset was developed by the National Renewable Energy Laboratory (NREL) for the [U.S. Agency for International Development'](http://www.usaid.gov/)s (USAID) [South Asia Regional Initiative for Energy Cooperation](http://www.sari-energy.org/) (SARI/E). The dataset contains Wi...
Langle, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible
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