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Microearthquake Studies at the Salton Sea Geothermal Field
The objective of this project is to detect and locate microearthquakes to aid in the characterization of reservoir fracture networks. Accurate identification and mapping of the large numbers of microearthquakes induced in EGS is one technique that provides diagnostic information w...
Templeton, D. Lawrence Livermore National Laboratory
Oct 01, 2013
1 Resources
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1 Resources
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Centralizer for Use in Well Completions
Well completions are an integral part of providing safe, reliable and continuous access to underground resources such as oil, gas and geothermal resources. Completions are typically considered to be the final step of drilling engineering which includes processes such as setting c...
Su, J. Sandia National Laboratories
Apr 17, 2014
1 Resources
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1 Resources
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CODAS Data from Oliktok Point, Beaufort Sea, Alaska
Cryosphere/Ocean Distributed Acoustic Sensing (CODAS) data collected from the Beaufort Sea, Alaska, using ~37.4 km of dark telecommunications fiber located at Oliktok Point, Alaska. Data were collected with a Silixa iDAS, using 10 m gauge length, 2 m spatial resolution, and 1000 H...
Baker, M. and Abbott, R. Sandia National Laboratories
Aug 08, 2023
23 Resources
1 Stars
Publicly accessible
23 Resources
1 Stars
Publicly accessible
TEAMER: Acoustic Characterization of ORPC Device Sound Signatures Public Report and Data
This submission contains a public Post Access Report documenting drifting acoustic measurements near ORPC river turbines, an archive of associated report figures in MATLAB .fig format with embedded data, and a MATLAB script for extracting data from those figures. Drifting acoustic...
Polagye, B. et al University of Washington
Dec 14, 2025
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
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North and South Dakota High Resolution 50m Wind Resource
Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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Publicly accessible
4 Resources
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Utah FORGE: Neubrex Well 16B(78)-32 Stimulation and Circulation Fiber Optics Reports Summer, 2024
This zip file contains reports discussing the use of fiber optics during well 16B(78)-32 stimulation and circulation tests in the summer of 2024. The reports cover the collection of strain rate and temperature change data during these well events. Theory, methods, and initial dat...
Jurick, D. et al Neubrex Energy Services (US), LLC
Sep 25, 2024
1 Resources
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1 Resources
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California Auxiliary Datasets for Buoy (120), Humboldt / Derived Data
**Overview**
This dataset compiles results from different model-based hindcasts and instruments that measure environmental variables at the location of the associated lidar buoys. This dataset complements the lidar buoy measurements by providing longer time histories of selected ...
Medina, G. Wind Energy Technologies Office (WETO)
Jun 14, 2018
1 Resources
0 Stars
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1 Resources
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Publicly accessible
California Auxiliary Datasets for Buoy (130), Morro Bay / Derived Data
**Overview**
This dataset compiles results from different model-based hindcasts and instruments that measure environmental variables at the location of the associated lidar buoys. This dataset complements the lidar buoy measurements by providing longer time histories of selected ...
Medina, G. Wind Energy Technologies Office (WETO)
Jun 14, 2018
1 Resources
0 Stars
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON9 Processed Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Nov 14, 2016
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON3 Processed Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON4 Processed Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON5 Processed Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON2 Processed Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON1 Processed Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
0 Stars
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON6 Processed Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON7 Processed Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON8 Processed Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
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1 Resources
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Lidar ESRL WindCube 200s, Wasco Airport Processed 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)
Sep 24, 2015
1 Resources
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1 Resources
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Admiralty Inlet, WA Tidal Current Turbulence
Tripod and mooring data using acoustic doppler velocimeter (ADV) and acoustic doppler current profiler (ADCP) of tidal turbulence.
When using the data, please cite the J. Oceanic Eng. paper included in this submission, and please contact Jim Thomson prior to submitting publication...
Thomson, J. Northwest National Marine Renewable Energy Center
Feb 01, 2011
2 Resources
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2 Resources
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ARPA-E Grid Optimization (GO) Competition Challenge 3
Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public.
The Grid Optimizat...
Elbert, S. et al Pacific Northwest National Laboratory
May 02, 2024
39 Resources
1 Stars
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39 Resources
1 Stars
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Utilization Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)
This submission of Utilization Analysis data to the Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) is in support of Phase 1 Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. The submission includes data pertinent to th...
E., T. Cornell University
Sep 30, 2015
8 Resources
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8 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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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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Brady's Geothermal Field Distributed Temperature Sensing Data
This submission is an 8 day time history of vertical temperature measurements in Brady observation well 56-1 collected during the PoroTomo field experiment. The data was collected with a fiber-optic DTS system installed to a depth of 372 m below wellhead. DTS installation uses a d...
Patterson, J. University of Wisconsin
Mar 26, 2016
2 Resources
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2 Resources
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Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques
This layer contains the areas identified as targets of potential geothermal activity. The Criteria used to identify the target areas include: hot/warm surface exposures modeled from ASTER/Landsat satellite imagery and geological characteristics, alteration mineral commonly associa...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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