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U.S. Gulf of Mexico Coast Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation

HERO WEC V1.0 WEC-Sim Model (July 2024)

**This submission supersedes submission MHKDR-483** This submission file contains the files that are needed to simulate NREL's HERO WEC (hydraulic and electric reverse osmosis wave energy converter). This requires the user to have already installed WEC-Sim. In addition to the sta...
Panzarella, J. et al National Renewable Energy Laboratory
Jul 01, 2024
2 Resources
0 Stars
Publicly accessible

Total Biofuels Consumption (2005 2009)

Total annual biofuels consumption (Thousand Barrels Per Day) for 2005 2009 for over 230 countries and regions.
Brodt-Giles, D. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Wind Resources in Alaska

Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and...
AEDI, A. National Renewable Energy Laboratory
Dec 31, 2006
3 Resources
0 Stars
In curation

Alaska Energy Infrastructure: Pipelines and Electrical Lines

Energy-related infrastructure information from the Alaska Department of Natural Resources (ADNR). Specifically, the data included depicts pipeline locations and electrical power line locations in Alaska as digitized primarily form 1:24,000, 1:63,360, and 1:250,000 USGS quadrangles...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
Dec 30, 2006
3 Resources
0 Stars
In curation

Geothermal Permitting and NEPA Timeline Analysis

In this analysis, we outline the types of NEPA-related analyses and approvals (e.g., environmental assessment), and we provide examples of geothermal development activities (e.g., well drilling) that might require each type of approval, including an overview and discussion of the ...
Young, K. et al National Renewable Energy Laboratory
Sep 30, 2014
5 Resources
0 Stars
Publicly accessible

South Park Mountain Data: South Park, Colorado

South Park, Colorado data including "Live" data and plots, updated every 2 hours. Daily plots and raw data files, are available from March 28, 1997 to yesterday. Solar Calendars, are available from March 1997 to the present month. Wind roses (monthly, seasonal, & yearly) are av...
McKenna and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
Publicly accessible

U.S. Heat Demand by Sector for Potential Application of Direct Use Geothermal

This dataset includes heat demand for potential application of direct use geothermal broken down into 4 sectors: agricultural, commercial, manufacturing and residential. The data for each sector are organized by county, were disaggregated specifically to assess the market demand ...
McCabe, K. et al National Renewable Energy Laboratory
Jun 23, 2016
5 Resources
0 Stars
Publicly accessible

Funding Mechanisms for Federal Geothermal Permitting

This submission includes a presentation and paper for the Geothermal Resources Council (GRC) that discuss: Federal agency revenues received for geothermal projects, including: (1) lease revenues, (2) fixed fees, and (3) cost recovery fees for the Bureau of Land Management (BLM) a...
Young, K. et al National Renewable Energy Laboratory
Sep 30, 2013
2 Resources
0 Stars
Publicly accessible

U.S. Offshore Oil and Gas Operations Reports (1996 2010)

The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) publishes data from the Oil and Gas Operations Reports (OGOR) for the Gulf of Mexico OCS Region. The datasets include: annual well production (OGOR-A), lease disposition (O...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
Dec 15, 2010
7 Resources
0 Stars
In curation

eGRID2007 Version 1.1 All Files

The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive inventory of environmental attributes of electric power systems. The preeminent source of air emissions data for the electric power sector, eGRID is based on available plant-specific data for all U....
Wood, J. and (EPA), E. National Renewable Energy Laboratory
Jan 25, 2009
2 Resources
0 Stars
In curation

GIS Data from the 2008 Carbon Sequestration Atlas of the United States and Canada: Carbon Dioxide Sources

hapefile for CO2 sources identified in the 2008 Carbon Sequestration Atlas of the United States and Canada.
Wood, J. and (NETL), N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

GIS Data from the 2008 Carbon Sequestration Atlas of the United States and Canada: Deep Saline Formations

Shapefile for deep saline formations identified in the 2008 Carbon Sequestration Atlas of the United States and Canada.
Wood, J. and (NETL), N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

GIS Data from the 2008 Carbon Sequestration Atlas of the United States and Canada: Unmineable Coal Seams

Shapefile for unmineable coal seams identified in the 2008 Carbon Sequestration Atlas of the United States and Canada.
Wood, J. and (NETL), N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Seasonal and diurnal data from Afghanistan surface weather stations

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 gra...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Wisconsin High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for Wisconsin at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential in Wisconsin. _Supplemental Information:_ This data set has been validated by NREL and wind energy meteorologic...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

GeoRePORT Case Studies Coso, WSMR, Dixie Valley, and Chena Hot Springs

The Geothermal Resource Portfolio Optimization and Reporting Technique (GeoRePORT) was developed with funding from the U.S. Department of Energy Geothermal Technologies Office to assist in identifying and pursuing long-term investment strategies through the development of a resour...
Kolker, A. et al National Renewable Energy Laboratory
Sep 30, 2019
6 Resources
0 Stars
Publicly accessible

Hathaway Solar Patriot House

The Hathaway Solar Patriot House was a Building America field research case study from 2001 to 2004. A report on this project is available in this record or from the National Renewable Energy Laboratory. http://www.nrel.gov/docs/fy05osti/37731.pdf
Norton, P. and Laboratory, N. National Renewable Energy Laboratory
Jun 10, 2016
4 Resources
0 Stars
In curation

Illinois High Resolution Wind Resource

Annual average wind resource potential of Illinois at a 50 meter height. This data set was produced and validated by NREL using their WRAM model. This shapefile was generated from a raster dataset with a 1000 m resolution, in a Transverse Mercator projection with the following ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Pakistan Wind Resources

GIS data for Pakistan's wind resources in graphical files of seasonal and diurnal data from surface weather stations, graphical files of seasonal and diurnal data from Pakistan Meteorological Department (PMD), and Wind Power Density at 50-m AGL (above ground level) GIS data. The g...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
In curation

USLCI Database_Electricity, at Grid, US, 2008

Gate to gate life cycle inventory (LCI) data for the US national grid. Includes generation and transmission of electricity for US electricity grid. Representative of year 2008 mix of fuels used for utility electricity generation in US. Fuels include biomass, coal, petroleum, geo...
Carpenter, A. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

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

GIS Data from the 2008 Carbon Sequestration Atlas of the United States and Canada: Oil and Gas Reservoirs

Shapefile for oil and gas reservoirs identified in the 2008 Carbon Sequestration Atlas of the United States and Canada.
Wood, J. and (NETL), N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesosc...
Sullivan, P. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
1 Stars
Publicly accessible

BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
0 Stars
Publicly accessible
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