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Federal
2017 Western Passage Tidal Energy Resource Characterization Measurements
Department of Energy —
These data are from tidal resource characterization measurements collected between April and July 2017 in Western Passage near Eastport, Maine, USA. The dataset... -
Federal
PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1
Department of Energy —
This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment... -
Federal
HERO WEC 2024 Hydraulic Configuration Deployment Data
Department of Energy —
The following submission includes raw and processed data from the in water deployment of NREL's Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO... -
Federal
Directional Cooling-Induced Fracturing: Directional Cooling Data Under True-Triaxial Stress State
Department of Energy —
Data includes Directional Cooling-Induced Fracturing (DCIF) testing data using westerly granite blocks. This submission includes data from two samples of westerly... -
Federal
DASH Slow Strain Rates from Brady Hot Springs Geothermal Field during PoroTomo Deployment Period
Department of Energy —
This submission contains slow strain rates summed to radians over 30 second intervals [rad/s] derived from horizontal distributed acoustic sensing measurements (DASH)... -
Federal
Utah FORGE: Fluid Injection-Rate Controls on Seismic Moment from Laboratory Fault Reactivation Experiments
Department of Energy —
This dataset contains experimental and acoustic data from shear reactivation tests that investigate the relationship between fluid-injection rate, pore pressure... -
Federal
Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests
Department of Energy —
California State University Long Beach evaluated hydraulic connectivity among geothermal wells using Periodic Hydraulic Testing (PHT) and Distributed Acoustic Sensing... -
Federal
Utah FORGE: Laboratory Shear Experiments Linking Fault Roughness, Friction, Permeability, and P-Wave Characteristics
Department of Energy —
This dataset contains results from five laboratory shear experiments on gneiss and granitoid samples from the Utah FORGE site, conducted at Penn State University. The... -
Federal
Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Department of Energy —
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic...