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Utah FORGE: Triggered 3-Component Surface Nodal Seismic Waveforms from the April 2022 FOAL 1 Experiment
This package contains triggered 3-component surface nodal seismic waveforms recorded during the FOAL 1 experiment, or FORGE Observation Array Linear #1, which occurred during the April 2022 hydraulic stimulation of well 16A(78)-32 at the Utah FORGE EGS site. This data was utilized...
Kim, J. et al Rice University
Jun 30, 2026
7 Resources
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Publicly accessible
7 Resources
0 Stars
Publicly accessible
Data for Uncontained Ruptures Reduce Energetics of Triggered Seismicity: Laboratory Fault Reactivation Experiments
The dataset contains raw mechanical data from laboratory fault reactivation experiments on pre-stressed granite/granitoid samples, along with experimental parameters and MATLAB processing code for data deduction. The raw time-series data were recorded using a triaxial-shear appara...
Elsworth, D. et al Pennsylvania State University
Apr 13, 2026
15 Resources
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15 Resources
0 Stars
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Soda Lake Geothermal: Raw 3D and 3C Seismic-Reflection Data from 2010 Survey
This dataset contains seismic-reflection records created in 2010 around the Soda Lake geothermal field near Fallon, Nevada. The data was collected by the power plant operator at the time, Magma Energy (CYRQ Energy in 2024). This was a petroleum-industry-quality three-dimensional ...
N. Louie, J. et al University of Nevada Reno
Sep 01, 2010
5 Resources
0 Stars
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5 Resources
0 Stars
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HERO WEC Belt Test Data
The following submission includes raw and processed data from the 2024 Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC) belt tests conducted using NREL's Large Amplitude Motion Platform (LAMP). A description of the motion profiles run during testing can be f...
Jenne, S. et al National Renewable Energy Laboratory
Sep 01, 2024
7 Resources
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7 Resources
0 Stars
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Siler, D. et al United States Geological Survey
Oct 01, 2021
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
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TEAMER: Twin Ocean Power Wave Energy Converter Comprehensive Overview
These files collectively provide a comprehensive overview of the testing process, data analysis, and validation for the Twin Ocean Power device tested at the O.H. Hinsdale Wave Research Laboratory, supported by TEAMER funding.
This resource includes an overview of power results f...
Nguyen, J. and Nguyen, N. Twin Ocean Power
Sep 11, 2024
52 Resources
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52 Resources
0 Stars
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