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Sodar PNNL Scintec MFAS, Oregon Raceway Park Raw Data

**Overview** Provide measurements of wind speed and direction up to 400 m AGL (max). The data are stored in 2 forms: ASCII and raw (binary). ASCII files contain averaged data (currently 15 min time step and 10 m range gate); raw files could be reprocessed with the sodar software...

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Oct 07, 2015
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University of Oregon: GPS-based Precipitable Water Vapor (PWV)

A partnership with the University of Oregon and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect Precipitable Water Vapor (PWV) data to compliment existing resource assessment data collection by the university.

Andreas and VignolaNational Renewable Energy Laboratory

Jan 19, 2016
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Elizabeth City State University: Elizabeth City, North Carolina (Data)

The Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network operated from July 1985 through December 1996. Funded by DOE, the six-station network provided 5-minute averaged measurements of direct normal, global, and diffuse horizontal solar irradianc...

Stoffel and AndreasNational Renewable Energy Laboratory

Dec 17, 2014
2 Resources
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Sodar PNNL Scintec MFAS, Oregon Raceway Park Reviewed Data

**Overview** These data provide measurements of wind speed and direction up to 400 m above ground level (AGL) (max). The data are stored in two forms: ASCII and raw (binary). ASCII files contain averaged data (currently: 15 min time step and 10 m range gate). Raw files can be rep...

Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)

Oct 07, 2015
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.hrrr.02.fcst.02

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
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wfip2.model/retro.hrrr.02.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
0 Stars
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wfip2.model/retro.rap.02.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
0 Stars
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wfip2.model/retro.hrrr.01.fcst.02

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.hrrr.01.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.rap.01.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
0 Stars
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DOE User Facilities and RD Equipment

This dataset contains information about hundreds of designated user-facilities and R&D equipment funded by the U.S. Department of Energy and accessible to the private sector. These facilities reside at DOE's

Honey, K. and (DOE), U. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

Fueling Infrastructure Polymer Materials Compatibility to Ethanol-blended Gasoline

These data files contain volume, mass, and hardness changes of elastomers and plastics representative exposed to gasoline containing various levels of ethanol. These materials are representative of those used in gasoline fuel storage and dispensing hardware. All values are compa...

Kass, M. and Laboratory, O. Oak Ridge National Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Surface Meteorological Station ESRL Short Tower, Bonneville Raw Data

**Overview** A diversity of instruments are used to measure various quantities related to meteorology and precipitation near the Earth’s surface. Typically, a standard suite of instruments is deployed to monitor meteorological state variables. **Data Quality** An additional c...

Wilczak, J. Wind Energy Technologies Office (WETO)

Dec 06, 2015
1 Resources
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Surface Meteorological Station ESRL Short Tower, Bonneville Reviewed Data

**Overview** A diversity of instruments are used to measure various quantities related to meteorology and precipitation near the Earth’s surface. Typically, a standard suite of instruments is deployed to monitor meteorological state variables. **Data Quality** An additional c...

Wilczak, J. Wind Energy Technologies Office (WETO)

Dec 07, 2015
1 Resources
0 Stars
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WEC-Sim Wave Energy Converter Simulator

WEC-Sim (Wave Energy Converter SIMulator) is an open-source wave energy converter (WEC) simulation tool. The code is developed in MATLAB/SIMULINK using the multi-body dynamics solver SimMechanics. WEC-Sim has the ability to model devices that are comprised of rigid bodies, powe...

Lawson. . et al National Renewable Energy Laboratory

Mar 15, 2016
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Federal Energy Management Program

FEMP EISA 432 Compliance Tracking System (CTS) enables the public to analyze and generate custom reports of CTS facility level data. This data warehouse includes only non-restricted CTS data. The data warehouse consists of five data sets (or "data cubes") that may be used to build...

Temper, C. and (EERE), O. Office of Energy Efficiency & Renewable Energy

Nov 25, 2014
1 Resources
0 Stars
In curation

Bouira University Digital Space

Description archive of our university and/or Remarks: The University of Bouira offers visitors from Bouira University Digital Space a free downloadable files (memories doctoral, master, master, courses in different technological and literary disciplines, proceedings of scientif...

Chettabi, . National Renewable Energy Laboratory

Jan 08, 2000
1 Resources
0 Stars
In curation

Radar NOAA 449 MHz Wind Profiler with RASS Raw Data

**Overview** Monitor real-time profiles of virtual temperature (C), wind speed (ms-1), and direction (deg) few km above ground level. **Data Details** Raw files contain radial velocity (ms-1), signal-to-noise ratio (dB), signal power (dB), spectral width (ms-1), and noise ampli...

Bianco, L. Wind Energy Technologies Office (WETO)

Feb 28, 2015
1 Resources
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Radar NOAA 915 MHz Boundary-Layer Wind Profiler Raw Data

**Overview** Monitor real-time profiles of virtual temperature (C), wind speed (ms-1), and direction (deg) few km above ground level. **Data Details** Raw files contain radial velocity (ms-1), signal-to-noise ratio (dB), signal power (dB), spectral width (ms-1), and noise ampli...

Bianco, L. Wind Energy Technologies Office (WETO)

Feb 28, 2015
1 Resources
0 Stars
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Buoy California Wind Sentinel (120), Humboldt Processed Data

**Overview** The purpose of the dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various datastreams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted on...

Krishnamurthy, R. Wind Energy Technologies Office (WETO)

Jan 04, 1980
1 Resources
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Lidar CU WindCube V1 Profiler, Troutdale Raw Data

**Overview** Wind and lidar turbulence profiles from 40 m to 220 m above the surface. **Data Quality** These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold. **Uncertainty** Line-of-sight measuremen...

Lundquist, J. Wind Energy Technologies Office (WETO)

Nov 19, 2015
1 Resources
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Lidar CU WindCube V1 Profiler, Wasco Airport Raw Data

**Overview** Wind and lidar turbulence profiles from 40 m to 220 m above the surface. **Data Quality** These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold. **Uncertainty** Line-of-sight measuremen...

Lundquist, J. Wind Energy Technologies Office (WETO)

Feb 22, 2016
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Lidar CU WindCube V2 Profiler, Gordons Ridge Raw Data

**Overview** Wind and lidar turbulence profiles from 40 m to 220 m above the surface. **Data Quality** These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold. **Uncertainty** Line-of-sight measuremen...

Lundquist, J. Wind Energy Technologies Office (WETO)

Nov 15, 2015
1 Resources
0 Stars
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Lidar California Leosphere Windcube 866 (130), Morro Bay Processed Data

**Overview** The purpose of this dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various data streams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted...

Krishnamurthy, R. Wind Energy Technologies Office (WETO)

Sep 28, 2020
1 Resources
0 Stars
Publicly accessible

Lidar UT-Dallas WindCube 200S Doppler Lidar Raw Data

**Overview** fixed scan against southeast sonic of 50m, 100m and 150m and supersite at 60m height **Data Quality** unfiltered data **Uncertainty** raw data **Constraints**

Iungo, G. Wind Energy Technologies Office (WETO)

Mar 06, 2015
1 Resources
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