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Sodar Vaisala Triton Wind Profiler, AON2 Raw Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Jul 06, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON2 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON3 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON4 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Jan 12, 2016
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON4 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON5 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON6 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON7 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON8 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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NREL GIS Data: Continental United States Global Horizontal Solar Resource 10km Resolution (1998 2005)

This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. This data was developed using the State University of New York/Albany satellite radiation model. This...

Wood, J. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Hawaii Photovoltaic (Tilt = Latitude) 10km Resolution (1998 2005)

Wood, J. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

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
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High Resolution Ocean Surface Wave Hindcast (US Wave) Data

The development of this dataset was funded by the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, Water Power Technologies Office to improve our understanding of the U.S. wave energy resource and to provide critical information for wave energy project de...

Yang, Z. et al National Renewable Energy Laboratory

Jul 01, 2020
6 Resources
0 Stars
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U.S. Great Lakes 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

U.S. Hawaii Offshore Windspeed 90m Height High Resolution

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

U.S. Pacific Coast Offshore Windspeed 90m Height High Resolution

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

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

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

Performance, Cost, and Financial Parameters of Geothermal District Heating Systems for Market Penetration Modeling under Various Scenarios

The U.S. Department of Energy Geothermal Vision (GeoVision) Study is currently looking at the potential to increase geothermal deployment in the U.S. and to understand the impact of this increased deployment. This paper reviews 31 performance, cost, and financial parameters as inp...

Beckers, K. and Young, K. National Renewable Energy Laboratory

Mar 23, 2017
1 Resources
0 Stars
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ALFA MHK Biological Monitoring Stationary Deployment South Energy Test Site, Newport, Oregon

Acoustic backscatter data from a WBAT operating at 70kHz deployed at PMEC-SETS from April to September of 2016. 180 pings were collected at 1Hz every two hours, as part of the Advanced Laboratory and Field Arrays (ALFA) for Marine Energy project. Data was subject to preliminary pr...

Horne, J. Northwest National Marine Renewable Energy Center

Oct 01, 2016
7 Resources
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Snake River (Idaho) Geothermal Drilling Project: Innovative Approaches to Geothermal Exploration

The goal of our project was to test innovative exploration technologies using existing and new data, and to ground-truth these technologies using slim-hole core technology. The slim-hole core allowed us to understand subsurface stratigraphy and alteration in detail, and to correla...

Shervais, J. et al Utah State University

Feb 21, 2014
1 Resources
0 Stars
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Solar Resources by Class and Country

These estimates are derived from the best available solar resource data available to NREL. Resources are organized by class and country. Resolution varies spatially from 1 km to 1 degree (approximately 100 km) depending on the data source. High spatial resolution datasets (1 km...

Heimiller, D. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
1 Stars
In curation

Simulated wind speed and initial conditions over the WFIP2 region: Cold-front (D01)

**Overview** The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...

Liu, Y. Wind Energy Technologies Office (WETO)

Aug 19, 2016
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON2 Raw Data

Sodar Vaisala Triton Wind Profiler, AON2 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON3 Raw Data

Sodar Vaisala Triton Wind Profiler, AON4 Raw Data

Sodar Vaisala Triton Wind Profiler, AON4 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON5 Raw Data

Sodar Vaisala Triton Wind Profiler, AON6 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON7 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON8 Reviewed Data

NREL GIS Data: Continental United States Global Horizontal Solar Resource 10km Resolution (1998 2005)

NREL GIS Data: Hawaii Photovoltaic (Tilt = Latitude) 10km Resolution (1998 2005)

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

High Resolution Ocean Surface Wave Hindcast (US Wave) Data

U.S. Great Lakes Offshore Windspeed 90m Height High Resolution

U.S. Hawaii Offshore Windspeed 90m Height High Resolution

U.S. Pacific Coast Offshore Windspeed 90m Height High Resolution

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

Performance, Cost, and Financial Parameters of Geothermal District Heating Systems for Market Penetration Modeling under Various Scenarios

ALFA MHK Biological Monitoring Stationary Deployment South Energy Test Site, Newport, Oregon

Snake River (Idaho) Geothermal Drilling Project: Innovative Approaches to Geothermal Exploration

Solar Resources by Class and Country

Simulated wind speed and initial conditions over the WFIP2 region: Cold-front (D01)

Simulated wind speed and initial conditions over the WFIP2 region: Cold-front (D02)

Simulated wind speed and initial conditions over the WFIP2 region: Sea-breeze (D01)

Simulated wind speed and initial conditions over the WFIP2 region: Sea-breeze (D02)