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LANL WRF-LES Convective TTU

**Overview** This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical co...

Kosovic, B. Wind Energy Technologies Office (WETO)

Jul 03, 2012
1 Resources
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LANL WRF-LES Neutral TTU

**Overview** This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canon...

Kosovic, B. Wind Energy Technologies Office (WETO)

Aug 16, 2012
1 Resources
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LLNL WRF-LES Neutral TTU

Kosovic, B. Wind Energy Technologies Office (WETO)

Aug 16, 2012
1 Resources
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NREL SOWFA Neutral TTU

Kosovic, B. Wind Energy Technologies Office (WETO)

Aug 16, 2012
1 Resources
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PNNL WRF-LES Convective TTU

Kosovic, B. Wind Energy Technologies Office (WETO)

Jul 03, 2012
1 Resources
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SNL SONIC Convective TTU

Kosovic, B. Wind Energy Technologies Office (WETO)

Jul 03, 2012
1 Resources
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Radar ESRL Wind Profiler with RASS, Wasco Airport Derived Data

**Overview** Profiles of turbulence dissipation rate for 15-minute intervals, time-stamped at the beginning of the 15-minute period, during the final 30 minutes of each hour. During that time, the 915-MHz wind profiling radar was in an optimized configuration with a vertically po...

McCaffrey, K. Wind Energy Technologies Office (WETO)

Oct 12, 2015
1 Resources
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NREL Eagle supercomputer jobs

High performance computing dataset with 11M+ jobs from NREL's Eagle supercomputer. These jobs were submitted to run on Eagle between Nov 2018 and Feb 2023. The data are sufficiently anonymized and do not include sensitive user or project data. HPC research community does not have ...

Duplyakin, D. and Menear, K. National Renewable Energy Laboratory

Feb 28, 2023
4 Resources
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Experimental Parameters Affecting Stripping of Rare Earth Elements from Loaded Sorptive Media in Simulated Geothermal Brines

Experimental results from several studies exploring the impact of pH and acid volume on the stripping of rare earth elements (REEs) loaded onto ligand-based media via an active column. The REEs in this experiment were loaded onto the media through exposure to a simulated geother...

Stull, D. Tusaar Corp.

May 24, 2016
2 Resources
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Distributed Acoustic Sensing (DAS) for Periodic Hydraulic Tests: Laboratory Data

These data were collected in the laboratory located at California State University Long Beach. They consist of DAS data collected from a fiber optic cable placed in a tank of water, subjected to oscillating head. These tests are described in the article linked below.

Coleman, T. California State University

Feb 27, 2015
5 Resources
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Turbine Depth Optimization Study, Admiralty Inlet, WA

The zipped file contains a directory of data and routines used in the NNMREC turbine depth optimization study (Kawase et al., 2011), and calculation results thereof. For further info, please contact Mitsuhiro Kawase at kawase@uw.edu.

Kawase, M. et al University of Washington

Nov 22, 2009
2 Resources
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Utah FORGE Hydrothermal Friction-Hydraulic Transmissivity Laboratory Experiments

Submission includes data from laboratory slide-hold-slide tests, combined with flow through tests, conducted on Westerly granite with 30 degree sawcut. Tests were conducted with a constant confining pressure of 30 MPa with an average pore pressure of 10 MPa at temperatures of 23 a...

Jeppson, T. and Lockner, D. U.S. Geological Survey

Feb 24, 2022
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Utah FORGE: Updated Seismic Event Catalogue from the April, 2022 Stimulation of Well 16A(78)-32

These are revised catalogs, related to the April, 2022 well 16A(78)-32 stimulation (phases 1,2, & 3), provided by Geo Energie Suisse (GES) that include additional events at the start of Stage 1 and some tidying up of some locations. These catalogs also include events for additiona...

Dyer, B. et al University of Utah Seismograph Stations

Nov 09, 2022
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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
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2017 Annual Technology Baseline (ATB): Cost and Performance Data for Electricity Generation Technologies

Each year since 2015, NREL has presented Annual Technology Baseline (ATB) in a spreadsheet that contains detailed cost and performance data (both current and projected) for renewable and conventional technologies. The spreadsheet includes a workbook for each technology. This sprea...

Hand, . et al National Renewable Energy Laboratory

Aug 21, 2017
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Wister, CA Downhole and Seismic Data

This submission contains Downhole geophysical logs associated with Wister, CA Wells 12-27 and 85-20. The logs include Spontaneous Potential (SP), HILT Caliper (HCAL), Gamma Ray (GR), Array Induction (AIT), and Neutron Porosity (NPOR) data. Also included are a well log, Injection T...

Akerley, J. Ormat Nevada Inc

Dec 18, 2010
16 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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Microwave Radiometer CU Radiometrics MWR, Condon Raw Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...