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Buoy California Wind Sentinel (120), Humboldt Raw Data

**Overview** Deployment off the coast of Humboldt, California **Data Details** Buoy Data Files name like: buoy.z05.00.20200929.000000.currents.csv buoy.z05.00.20200929.000000.gill.csv buoy.z05.00.20200929.000000.gps.csv buoy.z05.00.20200929.000000.pressure.csv bu...

Gorton, A. Wind Energy Technologies Office (WETO)

Oct 01, 2020
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Buoy California Wind Sentinel (130), Morro Bay Raw Data

**Overview** Deployment off the coast of Morro Bay, California **Data Details** Buoy Data Files name like: buoy.z06.00.20200929.000000.currents.csv buoy.z06.00.20200929.000000.gill.csv buoy.z06.00.20200929.000000.gps.csv buoy.z06.00.20200929.000000.pressure.csv b...

Gorton, A. Wind Energy Technologies Office (WETO)

Sep 28, 2020
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Lidar California Leosphere Windcube 866 (120), Humboldt Raw Data

**Overview** Deployment off the coast of Humboldt, California **Data Details** Windcube Data Files: lidar.z05.00.20200929.000000.gyro.7z lidar.z05.00.20200929.000000.rtd.7z lidar.z05.00.20200929.000000.sta.7z lidar.z05.00.20200929.000000.stdrtd.7z lidar.z05.00.20...

Gorton, A. Wind Energy Technologies Office (WETO)

Oct 01, 2020
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Surface Meteorological Station ANL 10m tower, Goldendale Raw Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
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Surface Meteorological Station ANL 10m tower, Goldendale Reviewed Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 30, 2016
1 Resources
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Surface Meteorological Station ANL 10m tower, Walla Walla Raw Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
1 Resources
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Surface Meteorological Station ANL 10m tower, Walla Walla Reviewed Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 30, 2016
1 Resources
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Surface Meteorological Station ANL 10m tower, Yakima Raw Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 28, 2016
1 Resources
0 Stars
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Surface Meteorological Station ANL 10m tower, Yakima Reviewed Data

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...

Cook, D. Wind Energy Technologies Office (WETO)

Mar 30, 2016
1 Resources
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ASTER Thermal Anomalies in Western Colorado

This layer contains the areas identified as areas of anomalous surface temperature from ASTER satellite imagery. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. Areas that had temperature greater than 2o, and ar...

E., R. Flint Geothermal, LLC

Jan 01, 2013
1 Resources
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Structural Orientations Adjacent to Some Colorado Geothermal Systems

Structural orientations (fractures, joints, faults, lineaments, bedding orientations, etc.) were collected with a standard Brunton compass during routine field examinations of geothermal phenomena in Colorado. Often multiple orientations were taken from one outcrop. Care was taken...

, R. Flint Geothermal, LLC

Feb 01, 2012
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Utah FORGE: Distributed Acoustic Sensing Data 2022

This is a link to the website where Distributed Acoustic Sensing (DAS) seismic data, collected from wells 78-32 and 78B-32 during the Utah FORGE 2022 stimulation, is available for download. The data can be accessed at "Well 16A78-32 2022 Stimulation Seismicity Data" link in the su...

Pankow, K. University of Utah Seismograph Stations

Apr 29, 2022
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Devices Suitable for Sectional Isolation Along Both Cased and Open-hole Wellbores Pipe Preparation Report

The main goal of this project is to develop an annular isolation system capable to withstand geothermal downhole conditions and mitigate the problems experienced by conventional packers in FORGE wells. This pipe preparation report is based on the test pipe that was procured and pr...

Teodoriu, C. et al Welltec

Mar 31, 2023
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Sun Spot One (SS1): San Luis Valley, Colorado (Data)

A partnership with industry and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal, and diffuse horizontal i...

Stoffel and AndreasNational Renewable Energy Laboratory

Dec 17, 2014
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Planning for the Evolution of the Electric Grid with a Long-Run Marginal Emission Rate Data and Code

Data and code generated for the paper "Planning for the evolution of the electric grid with a long-run marginal emission rate," Pieter Gagnon and Wesley Cole, 2022.

Gagnon and ColeNational Renewable Energy Laboratory

Feb 02, 2022
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Simulating Complex Fracture Systems in Geothermal Reservoirs Using an Explicitly Coupled Hydro-Geomechanical Model

Low permeability geothermal reservoirs can be stimulated by hydraulic fracturing to create Enhanced (or Engineered) Geothermal Systems (EGS) with higher permeability and improved heat transfer to increase heat production. In this paper, we document our effort to develop a numerica...

Carrigan, C. et al Lawrence Livermore National Laboratory

Jan 01, 2011
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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
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Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the U...

Kelley, M. and Bunger, A. Battelle Memorial Institute

Sep 08, 2023
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Utah FORGE 4-2541: Optimization and Validation of a Plug-and-Perf Stimulation Treatment Design Workshop Presentation

This is a presentation on the Optimization and Validation of a Plug-and-Perf Stimulation Treatment Design at Utah FORGE project by Fervo Energy, presented by Sireesh Dadi. The project's objective was to develop a multistage hydraulic stimulation approach designed specifically to t...

Dadi, S. and Norbeck, J. Fervo Energy

Sep 08, 2023
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TEAMER: DAISY Variant and Tether Tests, Admirality Inlet, WA

Acoustic data and metadata from Drifting Acoustic Instrumentation SYstem (DAISY) testing in Admiralty Inlet (connecting Puget Sound to the Strait of San Juan de Fuca) in July 2022. Tests focused on occurrences of flow noise for three hydrophone package variants and on the potentia...

Crisp, C. et al University of Washington

Jul 14, 2022
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Wind Energy Resource Data

NREL's Geographic Information System (GIS) team offers both a national wind resource assessment of the United States and high-resolution wind data. The national wind resource assessment was created for the U.S. Department of Energy in 1986 by the Pacific Northwest Laboratory and i...

Webmaster, . and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
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In curation

Next Generation Weather Radar (NEXRAD) Setback (4-km)

The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents 4-kilometer setback requirements typically applied to ...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
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Next Generation Weather Radar (NEXRAD) Radar Line-of-Sight

The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents a line-of-sight for each radar station. Radar line-of-...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
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Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)

Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island (UHI) effects into low-resolution historical reanalysis and future climate model datasets. The dataset includes model...

Buster, G. et al National Renewable Energy Lab (NREL)

Oct 16, 2024
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Tularosa Basin Play Fairway: Weights of Evidence Models

These models are related to weights of evidence play fairway anlaysis of the Tularosa Basin, New Mexico and Texas. They were created through Spatial Data Modeler: ArcMAP 9.3 geoprocessing tools for spatial data modeling using weights of evidence, logistic regression, fuzzy logic a...

Brandt, A. University of Utah

Dec 01, 2015
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