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Radar ESRL Wind Profiler with RASS, Prineville Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Aug 09, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ESRL Wind Profiler with RASS, Condon Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 29, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ESRL Wind Profiler with RASS, Troutdale Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 21, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ESRL Wind Profiler with RASS, Wasco Airport Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ANL Wind Profiler with RASS, Yakima Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Mar 17, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ANL Wind Profiler, Walla Walla Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Apr 05, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ARL Wind Profilerwith RASS, Boardman Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 29, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ANL Wind Profiler with RASS, Goldendale Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Jul 11, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Water Use in Enhanced Geothermal Systems (EGS): Geology of U.S. Stimulation Projects, Water Costs, and Alternative Water Use Policies
According to the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE), geothermal energy generation in the United States is projected to more than triple by 2040 (EIA 2013). This addition, which translates to more than 5 GW of generation capacity, is anti...
Harto, C. et al Argonne National Laboratory
Dec 16, 2014
13 Resources
0 Stars
Publicly accessible
13 Resources
0 Stars
Publicly accessible
Utah FORGE: Well 16B(78)-32 Reinterpretation of Thrubit FMI Log
This dataset contains a reinterpretation of the trip 3, Thrubit FMI log from Utah FORGE well 16B(78)-32, covering measured depths from 6,254 to 10,839 feet. Acquired by Schlumberger on May 23, 2023, this version includes newly interpreted tensile drilling-induced fractures, in add...
Wray, A. and Hamilton, D. Energy and Geoscience Institute at the University of Utah
May 23, 2023
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Levelized Cost of Charging Electric Vehicles
This data set includes the levelized cost of charging (LCOC) and lifetime fuel cost savings (LFCS) values as reported in "Levelized Cost of Charging of Electric Vehicles in the United States." Values are reported at the state and national levels for battery electric vehicles (BEVs...
Borlaug. . et al National Renewable Energy Laboratory
Sep 18, 2020
2 Resources
0 Stars
Publicly accessible
2 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
Log Project Event Log & Common Case Study Set Raw Data
**Overview**
This is the WFIP2 event log covering all sites and instruments for the entire project duration.
Final Event Log and Common Case Study Set
Additional details may be added here.
Sharp, J. et al Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Tularosa Basin Play Fairway Analysis: Partial Basin and Range Heat and Zones of Critical Stress Maps
Interpolated maps of heat flow, temperature gradient, and quartz geothermometers are included as TIF files. Zones of critical stress map is also included as a TIF file. The zones are given a 5km diameter buffer. The study area is only a part of the Basin and Range, but it does inc...
Brandt, A. University of Utah
Nov 15, 2015
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
New Mexico Play Fairway Analysis: Heat Flow
This is an updated and simplified version of the New Mexico heat flow data already on the NGDS that was used for Play Fairway analysis.
Kelley, S. New Mexico Bureau of Geology and Mineral Resources
Oct 21, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
NREL RSF Energy Model 2011
Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers computers that communicate with the building's various control systems to...
Sheppy, M. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
MT Data: Newberry 4D Monitoring EGS Project
This submission contains a link to the EDX Collaborative Workspace where the MT data collected in support of the DOE GTO 4D EGS monitoring project is stored.
Daily production reports- Oregon State University (OSU) had 6 stations running continuously.
--Dynamic survey map, KML f...
Rose, K. National Energy Technology Laboratory
Apr 12, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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DEPRECATED Sharing the Sun Community Solar Project Data (May 2020)
This data set is no longer current – The most current data and all historical data sets can be found at https://data.nrel.gov/submissions/244
This database represents a list of community solar projects identified through various sources as of May 2020. The list has been revi...
HeeterNational Renewable Energy Laboratory
May 20, 2020
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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Two-Phase Flow of Ferrofluids in Porous Media: Plateau-Rayleigh-like Instability and Suppression of Fingering
Includes six mp4 and one PDF files. The mp4 files show the percolation of ferrofluid in porous media under a magnetic field. The names of the authors are available in the PDF file. The data are from an experimental study performed at the Michigan Technological University. The expe...
Askari, R. and Khurana, M. Michigan Tech
Feb 27, 2021
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
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Appalachian Basin Play Fairway Analysis: Revised 2016 Combined Risk Factor Analysis
This submission contains information used to compute the combined risk factors for deep geothermal energy opportunities in the Appalachian Basin, in the context of a the Play Fairway Analysis project. The risk factors are sedimentary rock reservoir quality, thermal resource qualit...
E., T. Cornell University
Nov 15, 2016
2 Resources
0 Stars
Publicly accessible
2 Resources
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TEAMER: Initial Testing of Wave Energy-Powered UV-C LED Anti-Biofouling System, Post-Access Report, 3newable LLC
Biofouling severely limits the quality of data coming from buoy-mounted sensors. 3newable is co-developing a unique solution to the biofouling problem together with the Ocean Observatories Initiative (OOI) at WHOI to design and build a buoy-mounted WEC as an integrated power sourc...
Minsky, M. et al 3newable LLC
Sep 20, 2022
2 Resources
0 Stars
Publicly accessible
2 Resources
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Utah FORGE: Well 16B(78)-32 Cuttings X-Ray Diffraction Data
X-ray diffraction (XRD) results from cuttings samples collected during drilling of Utah FORGE well 16B(78)-32. The dataset includes XRD data for 77 samples taken between 3,120 and 10,977 feet measured depth (from the Kelly Bushing, 31 feet above ground level), with sampling interv...
Jones, C. Energy and Geoscience Institute at the University of Utah
Apr 20, 2025
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
WISE-CASING: Surface Seismic Survey at Cymric Field, California Central Valley
This test was conducted at the Chevron Cymric oilfield in the California central valley near Bakersfield. A reflected seismic signal was observed in all three components (x, y, z) of the 3-component Episensor geophone, as well as all phones on the single component array. The arriv...
Wu, Y. et al Lawrence Berkeley National Laboratory
Apr 02, 2018
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Utah FORGE: Deep Well 58-32 (MU-ESW1) Core Data
These datasets, images, and graphics were derived from core drilling and core that was extracted from Utah Forge deep well 58-32 (originally called MU-ESW1), near Roosevelt Hot Springs.
Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah
Apr 11, 2018
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible