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UAE6 Wind Tunnel Tests Data UAE6 Sequence D Raw Data
**Overview**
Sequences B, C, and D: Downwind Baseline (F), Downwind Low Pitch (F),
Downwind High Pitch (F)
This test sequence used a downwind, teetered turbine with a 3.4° cone angle. The wind speed
ranged from 5 m/s to 25 m/s. Yaw angles of ±180° were achieved at low wind sp...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 14, 2018
1 Resources
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Publicly accessible
1 Resources
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Lidar ESRL WindCube 200s, Arlington Airport Reviewed Data
**Overview**
The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files.
For those with any further questions about the data and its interpretation, contact either Alan Brewer (
Brewer, A. and Baidar, S. Wind Energy Technologies Office (WETO)
Aug 31, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar ESRL WindCube 200s, Wasco Airport Reviewed Data
**Overview**
The available "Readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files.
For those with any further questions about the data and its interpretation, contact either Alan Brewer (
Baidar, S. and Brewer, A. Wind Energy Technologies Office (WETO)
Aug 31, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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CalWave Device Behavior in Different Sea States from Scaled Tank Testing
This submission contains a summary of tank test derived WEC device behavior in different irregular sea states.
CalWave sought to conduct experimental tank testing of scaled prototype units early on in the design process to obtain a first estimation of device performance for sea ...
Boerner, T. and Murray, B. CalWave Power Technologies Inc.
Mar 30, 2018
1 Resources
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1 Resources
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Utah FORGE Core Material Friction Experiments
The following folders contain 3 friction experiments on Utah FORGE core material from depths of 6735 8533ft. The experiment conditions range from 100% relative humidity at room temperature to fluid-saturated at 110C. Experiments were done on both intact samples in a single-direct ...
Marone, C. et al The Pennsylvania State University
Mar 15, 2023
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
0 Stars
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1 Resources
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Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
0 Stars
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1 Resources
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Buoy California Wind Sentinel (130), Morro Bay Processed Data
**Overview**
The purpose of the dataset is to provide preliminary filtered, averaged buoy 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 o...
Krishnamurthy, R. Wind Energy Technologies Office (WETO)
Jan 04, 1980
1 Resources
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1 Resources
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Texas Tech Building Wake Field Experiment, Reese Technology Center / Averaged Data
**Overview**
This dataset contains sonic anemometer measurements around a building the size of a typical suburb home located at Texas Tech's Reese Technology Center. These data are intended to validate computer models.
**Data Details**
Stations 1-22 are sonic anemometers at a h...
Nelson, M. and Pol, S. Wind Energy Technologies Office (WETO)
May 06, 2021
1 Resources
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1 Resources
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Lidar ND Halo Scanning Doppler, Boardman Derived Data
**Overview**
The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR.
**It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
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1 Resources
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Lidar ND Halo Scanning Doppler, Boardman Processed Data
**Overview**
The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR.
**It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
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1 Resources
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CIRES Approach Overview to Using Thermal Infrared Imagery to Find Geothermal Systems in Colorado
Subsurface geothermal activity has a thermal expression that can be observed at the surface. Such spatial temperature gradients are within the radiometric resolution that is characteristic of a wide range of satellites that carry thermal sensors. For this effort, CIRES (part of ...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Verdant Power Gen5 KHPS and TriFrame System Content Models
This submission includes the Component Content Model for Verdant Power TriFrame and the System Content Model for Verdant Power TriFrame + 3 Gen5 KHPS Turbines. The TriFrame is the foundation component of the system, which consists of a TriFrame + 3 Gen5 KHPS Turbines (TF+3T).
Corren, D. et al Verdant Power Inc.
Jul 05, 2018
2 Resources
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2 Resources
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Utah FORGE: Well 78B-32 Core Sample Petrographic Analysis Data
This dataset contains an overview of the petrographic, X-ray Diffraction and scanning electron microscopy analyses of core samples from Utah FORGE Well 78B-32 and related data as described in the .zip folder's Description below.
Jones, C. Energy and Geoscience Institute at the University of Utah
Feb 21, 2023
1 Resources
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1 Resources
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Utah FORGE: 2023 Induced Seismicity Mitigation Plan
This is the updated Utah FORGE Phase 3B induced seismicity mitigation plan (ISMP) covering the general Utah FORGE area. This new version incorporates newly collected seismic data, including data collected during the 2022 stimulation and a probabilistic seismic hazard assessment (...
Pankow, K. et al University of Utah Seismograph Stations
Aug 09, 2023
1 Resources
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1 Resources
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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
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1 Resources
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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
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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1 Resources
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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
0 Stars
Publicly accessible
1 Resources
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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
Publicly accessible
1 Resources
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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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1 Resources
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State Estimation for advanced control of wave energy converters
A report on state estimation for advanced control of wave energy converters (WECs), with supporting data models and slides from the overview presentation. The methods discussed are intended for use to enable real-time closed loop control of WECs.
Coe, R. and Bacelli, G. Sandia National Laboratories
Apr 25, 2017
6 Resources
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6 Resources
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Water DAMS Data Management and Best Practices for Submitters and Curators
Resources for Water DAMS data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of Water DAMS. The Data Management and Submission Best Practices document also contains API access and metadata schema information ...
Weers, J. et al National Renewable Energy Laboratory
Aug 01, 2020
3 Resources
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3 Resources
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