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Utah FORGE: Telluric Monitoring Experiment Transfer Functions

The Utah Frontier Observatory for Research in Geothermal Energy (FORGE) attempted a stimulation at well 16A(78)-32 during April and May 2022. We recorded telluric and magnetotelluric (MT) data before, during, and after the well stimulation experiment using the FORGE Telluric Monit...

Mendoza, K. and Wannamaker, P. Energy and Geoscience Institute at the University of Utah

May 27, 2022
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Newberry Combined Gravity 2016

Newberry combined gravity from Zonge Int'l, processed for the EGS stimulation project at well 55-29. Includes data from both Davenport 2006 collection and for OSU/4D EGS monitoring 2012 collection. Locations are NAD83, UTM Zone 10 North, meters. Elevation is NAVD88. Gravity in ...

Rose, K. National Energy Technology Laboratory

Jan 22, 2016
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EGS Collab Experiment 2: Testbed Well Orientation Data

This dataset contains the north seeking gyro data for each of the 11 boreholes drilled at the Experiment 2 testbed on the 4100 foot level of the SURF (Sanford Underground Research Facility). Each gyro file is in individual folders for each well. A single folder called 'E2 All Well...

Schwering, P. and Neupane, H. Lawrence Berkeley National Laboratory

Jul 26, 2021
2 Resources
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Event-correlated Outage Dataset in America

This dataset includes an aggregated and event-correlated analysis of power outages in the United States, synthesized by integrating three data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I), the Electric Emergency Incident Disturbance Report ...

She, B. et al Pacific Northwest National Laboratory

Oct 01, 2024
8 Resources
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MASK4 Test Campaign for Sandia WaveBot Device Dataset

This data and report details the findings from a wave tank test focused on production of useful work of a wave energy converter (WEC) device. The experimental system and test were specifically designed to validate models for power transmission throughout the WEC system. Additional...

Forbush, D. et al Sandia National Laboratories

Dec 25, 2023
5 Resources
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

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 emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...

Marone, C. et al Pennsylvania State University

May 14, 2021
3 Resources
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TEAMER: Heterogeneous Wave Energy Converter Test Data

This dataset was generated during the Heterogeneous Wave Energy Converter (HetWECs) experimental campaign conducted at the O.H. Hinsdale Direction Wave Basin at Oregon State University. Experiments include system identification, hydrodynamics, and power take-off (PTO) tests. The ...

Vitale, O. et al Cornell University

Jun 27, 2025
8 Resources
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NREL Biomethane GIS Data

This dataset contains information about the biomass resources generated by county in the United States. It includes the following feedstock categories: crop residues, forest residues, primary mill residues, secondary mill residues, and urban wood waste. The estimates are based ...

MilbrandtNational Renewable Energy Laboratory

Apr 25, 2016
2 Resources
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Utah FORGE 5-2615: Well 58-32 and 78-32 Poroelastic Properties

Lab data on permeability, grain bulk modulus, drained bulk modulus, Skempton's pore pressure coefficient, and Biot's effective stress coefficient for Utah Forge Well 58-32 and Well 78-32. Work done as part of project number 5-2615 by the University of Oklahoma.

Ghassemi, A. and Zhou, X. University of Oklahoma

Oct 31, 2022
2 Resources
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TEAMER: CFD Data on a Vertical Axis Wave Turbine

In this study from January to July of 2023, different variations of the original geometry of a vertical-axis wave turbine (VAWT) were generated and evaluated for hydrodynamic power efficiency using computational fluid dynamics (CFD). The key geometrical parameters considered in th...

Yang, Y. et al University of Texas Rio Grande Valley

Jul 31, 2023
37 Resources
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Utah FORGE: Microseismic Events

This archive contains Excel spreadsheets containing microseismic events detected in the study area during Utah FORGE Phase 2C. The Readme file included that describes the meaning of the abbreviations used as field headers in the spreadsheets. Additionally, there is a .dat (text) f...

Rutledge, J. Energy and Geoscience Institute at the University of Utah

Jul 08, 2019
2 Resources
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Utah FORGE: Video of Utah FORGE Drilling Planning for Production Well 16B(78)-32

This is a YouTube video containing the specifics of well planning for Utah FORGE 16B(78)-32. This well will be drilled as a doublet approximately 300 feet parallel to and above 16A(78)-32 and will be drilled between approximately April 15th and July 17th 2023.

McLennan, J. Energy and Geoscience Institute at the University of Utah

Mar 03, 2023
2 Resources
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RM3 Wave Tank Validation Model

An approximately 1/75th scale point absorber wave energy absorber was built to validate the testing systems of a 16k gallon single paddle wave tank. The model was build based on the RM3 design and incorporated a linear position sensor, a force transducer, and wetness detection sen...

Candon, C. and Fao, R. National Renewable Energy Laboratory

Jul 31, 2023
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DAISY Acoustic Measurements in Agate Pass, WA

Acoustic data and metadata from Drifting Acoustic Instrumentation SYstem (DAISY) testing in Agate Pass (separating the north end of Bainbridge Island and the Kitsap Peninsula in Puget Sound), WA in April 2022. The goal was to characterize radiated noise from a cross-flow turbine d...

Polagye, B. et al University of Washington

Apr 20, 2022
3 Resources
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Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling

This dataset includes reports and a slide presentation on discrete fracture network (DFN) generation and hydraulic fracture modeling at the Utah FORGE site. It details the characterization of natural fractures using well log and core data, as well as stochastic modeling techniques...

Sharma, M. and Cao, M. University of Texas

Feb 07, 2023
1 Resources
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National Transmission Planning Study Long-Term Modeling Results

The National Transmission Planning Study (NTP Study) analyzed the transformation needed to ensure the U.S. transmission system continues to reliably meet electricity demand as the power sector evolves. The study linked several long and short-term power systems models to test numer...

Brown, P. and Mai, T. National Renewable Energy Laboratory (NREL)

Sep 10, 2023
14 Resources
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Geothermal Mineral Alterations in Brady and Desert Peak

Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas. This is the post-processing results and final analysis results of applying target detection algorithms and then fusing the results.

Moraga, J. Colorado School of Mines

May 15, 2021
22 Resources
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Aquantis 2.5 MW Ocean Current Generation Device Tow Tank Dynamic Test Rig Drawings and Bill of Materials

Aquantis 2.5 MW Ocean Current Generation Device, Tow Tank Dynamic Test Rig Drawings and Bill of Materials. This submission contains information on the equipment for the scaled model tow tank testing. The information includes hardware, test protocols, and plans.

Swales, H. et al Dehlsen Associates, LLC

Jun 03, 2015
18 Resources
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Projecting California Light-Duty Vehicle Attributes (2019-2035): Appendix B

This data appendix contains supporting tables for the report titled "Projecting California Light-Duty Vehicle Attributes (2019-2035)". These tables contain data for the following projected vehicle attributes: acceleration, fuel economy, MSRP, vehicle range, and the number of vehic...

Ledna. . et al National Renewable Energy Laboratory

Sep 15, 2022
5 Resources
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Utah FORGE: Temperature Contours

This submission contains several ArcGIS shapefiles, each with Temperature contour lines at different depths. Subsurface temperature were important for characterizing the geothermal system beneath the FORGE site in Milford, Utah.

Moore, J. Energy and Geoscience Institute at the University of Utah

Mar 09, 2016
5 Resources
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Utah FORGE: Core Material Friction Experiments

The following folders contain 3 friction experiments on Utah FORGE core material from depths of 6735 8533ft. The experiment conditions range from 100% relative humidity at room temperature to fluid-saturated at 110C. Experiments were done on both intact samples in a single-direct ...

Marone, C. et al Pennsylvania State University

Mar 15, 2023
7 Resources
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Utah FORGE: Well 16A(78)-32 Hydraulic Fracturing Stage 8 Crosswell Strain FDI and Microseismic Presentations April 2024

This is a pair of PowerPoint presentations from Neubrex Energy Services (US), LLC. The presentations review work done in April 2024 on crosswell strain fracture driven interactions (FDI) and microseismic event monitoring during hydraulic fracturing in stage 8 of Utah FORGE well 16...

Jurick, D. et al Neubrex Energy Services (US), LLC

Nov 07, 2024
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Benchmark Model for Wastewater Treatment Using an Activated Sludge Process

This is benchmark model for wastewater treatment using an activated sludge process. The activated sludge process is a means of treating both municipal and industrial wastewater. The activated sludge process is a multi-chamber reactor unit that uses highly concentrated microorganis...

Byun, J. and Maravelias, C. Princeton University

Jan 21, 2022
2 Resources
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Utah FORGE: Area LiDAR Bare Earth DEM Mosaic

This is a mosaic of 154 bare earth DEM panels (0.5 m resolution) acquired during Phase II of the Utah FORGE project. The DEM covers the western Mineral Mountains and adjoining basin including the Roosevelt Hot Springs area. The coordinates are in UTM Zone 12, NAD 83 and elevation ...

Nash, G. Energy and Geoscience Institute at the University of Utah

Aug 07, 2018
1 Resources
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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...

Ahmmed, B. Stanford University

Apr 04, 2022
3 Resources
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