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Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Utah FORGE: Logs and Data from Deep Well 58-32 (MU-ESW1)
Data, logs, and graphics associated with the drilling and testing of Utah FORGE deep test well 58-32 (MU-ESW1) near Roosevelt Hot Springs.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Apr 11, 2018
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
Utah FORGE Well 16A(78)-32 Stimulation Data (April, 2022)
This is a set of data related to the stimulation program at Utah FORGE well 16A(78)-32 during April, 2022. This includes daily reports, 1 second Pason data, tracer data, and shear stimulation data and information including a report of an evolving prognosis for the stimulation oper...
McLennan, J. Energy and Geoscience Institute at the University of Utah
May 18, 2022
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...
Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)
May 04, 2021
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Stanford Thermal Earth Model for the Conterminous United States
Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....
Aljubran, M. and Horne, R. Stanford University
Mar 14, 2024
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
Azura WEC 1/15th Wave Tank Test Data
Test data from the 1/15th Wave Tank Tests of the Azura performed in 2017/2018 to validate the power performance and survivability of the Azura Design developed by Northwest Energy Innovations (NWEI) planned for deployment at the US Navy's Wave Energy Test Site. Raw and processed d...
Ling, B. Northwest Energy Innovations
Feb 02, 2018
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
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Hawaii Play Fairway Analysis: Maui Groundwater Recharge Data
2014 USGS publication titled "Spatially distributed groundwater recharge estimated using a water-budget model for the Island of Maui, Hawai'i, 1978-2007" which includes groundwater recharge data for Maui.
Johnson, A. et al University of Hawaii
Jan 01, 2014
1 Resources
0 Stars
Publicly accessible
1 Resources
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ARPA-E Grid Optimization (GO) Competition Challenge 2
The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and l...
Elbert, S. et al Pacific Northwest National Laboratory
Sep 20, 2024
29 Resources
0 Stars
Publicly accessible
29 Resources
0 Stars
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RivGen Current Flow Measurements, Igiugig, AK
Measurements of flow velocity, distribution and turbulence conducted by University of Washington Applied Physics Laboratory, Igiugig, Alaska, Summer 2014
Thomson, J. et al Ocean Renewable Power Company
Nov 03, 2014
1 Resources
0 Stars
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1 Resources
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Miller & Keith (2018) Wind Plant Data
Information on the 430 wind power plants used in 'Observation-based solar and wind power capacity factors and power densities’ by Miller & Keith (2018, Environ. Res. Lett. 13 104008), initially based on the Wind Power Plant locations released by the US Energy Information Adminis...
Miller, L. Harvard University
Nov 22, 2018
2 Resources
0 Stars
In curation
2 Resources
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In curation
Utah FORGE: Report and Associated Data from Measuring and Modeling Deformation 2018 through 2024
The report provided here describes research activities between August 16th, 2018 and July 30th, 2024. The goals of the research activities are to conduct an Interferometric Synthetic Aperture Radar (InSAR) analysis and Ground Surface Deformation Modeling at the Utah FORGE site. In...
Feigl, K. and Batzli, S. University of Wisconsin Madison
Aug 16, 2018
6 Resources
0 Stars
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6 Resources
0 Stars
Publicly accessible
Lidar CU WindCube V1 Profiler, Troutdale Reviewed Data
**Overview**
These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility.
**Data Quality**
Only data points with CNR 22 dB are included in these 2-min averaged files.
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 19, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Lidar CU WindCube V1 Profiler, Wasco Airport Reviewed Data
**Overview**
These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility.
**Data Quality**
Only data points with CNR 22 dB are included in these 2-min averaged files.
Lundquist, J. Wind Energy Technologies Office (WETO)
Feb 22, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
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Lidar CU WindCube V2 Profiler, Gordons Ridge Reviewed Data
**Overview**
These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility.
**Data Quality**
Only data points with CNR 22 dB are included in these 2-min averaged files.
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 15, 2015
1 Resources
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Publicly accessible
1 Resources
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Advanced Sorbent Structure Recovery of REEs, Precious Metals and Other Valuable Metals from Geothermal Waters and Its Associated Technoeconomics
This work evaluates, develops and demonstrates flexible, scalable mineral extraction technology for geothermal brines based upon solid phase sorbent materials with a specific focus upon rare earth elements (REEs). The selected organic and inorganic sorbent materials demonstrated h...
Addleman, S. et al Pacific Northwest National Laboratory
May 25, 2017
3 Resources
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3 Resources
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Ocean Sentinel Mooring and Environmental Data 2013
Load cell data of Ocean Sentinel (OS) mooring, OS locations data and environmental conditions data (wave, wind, current) measured in the 2013 field test.
C., S. Oregon State University
Jul 29, 2013
6 Resources
0 Stars
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6 Resources
0 Stars
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Hawaii Play Fairway Analysis: Oahu Groundwater Recharge Data
2015 USGS publication titled "Spatially distributed groundwater recharge for 2010 land cover estimated using a water-budget model for the island of O'ahu, Hawaii" which includes groundwater recharge data for Oahu.
Engott, J. et al University of Hawaii
Jan 01, 2015
1 Resources
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1 Resources
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NWEI Azura RTI 1/20th Model Validation Wave Tank Test Data
Data from the 1/20th wave tank test of the RTI model. Northwest Energy Innovations (NWEI) has licensed intellectual property from RTI, and modified the PTO and retested the 1/20th RTI model that was tested as part of the Wave Energy Prize. The goal of the test was to validate NWEI...
Ling, B. and Lettenmaier, T. Northwest Energy Innovations
May 08, 2017
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
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Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Zhu, T. Pennsylvania State University
May 05, 2021
4 Resources
0 Stars
Publicly accessible
4 Resources
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Validation of Innovative Exploration Technologies for Newberry Volcano: GRC Paper on Geothermal Exploration at Newberry
Validation of Innovative Exploration Technologies for Newberry Volcano: 2012 GRC Paper Geothermal Exploration at Newberry
Waibel, A. et al Davenport Newberry Holdings, LLC
May 31, 2012
1 Resources
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1 Resources
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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
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12 Resources
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Final Report: Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin
This is a final report summarizing a two-year (2014-16) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and ...
E. Jordan, T. Cornell University
Nov 18, 2015
12 Resources
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12 Resources
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Brady's Geothermal Field Analysis of Pressure Data
*This submission provides corrections to GDR Submissions 844 and 845*
Poroelastic Tomography (PoroTomo) by Adjoint Inverse Modeling of Data from Hydrology.
The 3 *csv files containing pressure data are the corrected versions of the pressure dataset found in Submission 844. The ...
Lim, D. University of Wisconsin
Mar 17, 2017
6 Resources
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6 Resources
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Pacific Marine Energy Center benthic physical conditions, macrofauna, and groundfish abundances
From 2010 to 2015, box core grabs were collected at permanent stations around the Pacific Marine Energy Center North Energy Test Site (PMEC-NETS) off Newport, Oregon. At each box core station a conductivity, temperature, depth (CTD) cast was conducted. These data include the CTD f...
Henkel, S. Oregon State University
Aug 26, 2015
4 Resources
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4 Resources
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