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"tidal characterization"×

Sodar Colorado City, TX Processed Data

**Overview** This dataset was produced from the raw sodar .txt files from the Colorado City, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind r...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 14, 2011
1 Resources
0 Stars
Publicly accessible

Sodar St. James, MN Processed Data

**Overview** This dataset was produced from the raw sodar .wtb files from the St. James, MN site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind reso...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 27, 2011
1 Resources
0 Stars
Publicly accessible

Ridgelines: Department of Interior Definition

This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Publicly accessible

Hydrokinetic Canal Measurements: Inflow Velocity, Wake Flow Velocity, and Turbulence

The dataset consist of acoustic Doppler current profiler (ADCP) velocity measurements in the wake of a 3-meter diameter vertical-axis hydrokinetic turbine deployed in Roza Canal, Yakima, WA, USA. A normalized hub-centerline wake velocity profile and two cross-section velocity con...
Gunawan, B. Sandia National Laboratories
Jun 11, 2014
4 Resources
0 Stars
Publicly accessible

Utah FORGE: Well 14-2 Logs and Data from Roosevelt Hot Spring Area

This is a compilation of logs and data from Well 14-2 in the Roosevelt Hot Springs area in Utah. This well is also in the Utah FORGE study area. Data includes: flowmeter survey (1989), geochemistry (1977-1978, 1977-1983), injection test data (1979, 1982), and spinner surveys (19...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 03, 2016
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Well Acord 1-26 Logs and Data: Roosevelt Hot Spring Area

This is a compilation of logs and data from Well Acord 1-26 in the Roosevelt Hot Springs area in Utah. This well is also in the Utah FORGE study area. Logs include: mud log (45'-12645'), compensated densilog (1102'-7923', 7900'-12644'), neutron log (1102'-7923'), dual induction ...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 03, 2016
1 Resources
0 Stars
Publicly accessible

Fluid Geochemistry, Granite Springs Valley, Nevada Play Fairway Analysis

This data set is associated with the Nevada Play Fairway project. Excel file 5-Area Chem contains all the major chemistry for the areas sampled in the project. New analyses are in lines 2-30, while older analyses appear below that. Field Data excel file contains both field notes a...
Faulds, J. Nevada Bureau of Mines and Geology
Sep 14, 2017
5 Resources
0 Stars
Publicly accessible

USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geoph...
DeAngelo, J. et al Nevada Bureau of Mines and Geology
Jun 01, 2021
1 Resources
0 Stars
Publicly accessible

Utah FORGE 3-2535: Preliminary Report on Development of a Reservoir Seismic Velocity Model

This report describes the development of a preliminary 3D seismic velocity model at the Utah FORGE site and first results from estimating seismic resolution in the generated fracture volume during Stage 3 of the April 2022 stimulation. A preliminary 3D velocity model for the larg...
Gritto, R. Array Information Technology
Jan 30, 2023
1 Resources
0 Stars
Publicly accessible

Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions

This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...
Kelley, M. et al Battelle Memorial Institute
Jun 19, 2023
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Powder X-ray Diffraction Data from Well 16A(78)-32 Core

This dataset from Lawrence Livermore National Laboratory (LLNL) consists of four raw X-ray diffraction (XRD) scans and preliminary results of quantitative XRD analysis. The scanned samples were prepared from four subcores, which came from various depths of the FORGE well 16A(78)-3...
Kroll, K. et al Lawrence Livermore National Laboratory
Jul 27, 2023
1 Resources
0 Stars
Publicly accessible

Utah FORGE 2-2446: Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity 2025 Workshop Presentation

This is a presentation on the Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity project by Lawrence Livermore National Laboratory, presented by Dr. Fan (Frank) Fei. The project's objective was to employ a combination of high-fidelity simulations and tr...
Kroll, K. and Fei, F. Lawrence Livermore National Laboratory
Sep 18, 2025
3 Resources
0 Stars
Publicly accessible

Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress 2025 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 University of Pittsburgh, presented by Dr. Andrew Bunger. The project's objective was to characterize stress i...
Bunger, A. University of Pittsburgh
Sep 18, 2025
3 Resources
0 Stars
Publicly accessible

Utah FORGE 6-3629: Machine Learning and Seismology for Real-Time Decision-Making in Stimulation 2026 Workshop Presentation

This is a presentation on Machine Learning and Seismology for Real-Time Decision-Making in Stimulation by the University of Utah, presented by Dr. No'am Dvory. The project is developing real-time seismic monitoring, machine-learning, and geomechanical risk assessment tools to supp...
Dvory, N. University Of Utah
Sep 30, 2026
3 Resources
0 Stars
Publicly accessible

Utah FORGE 8-3637: Integrated Diagnostics to Interpret Doublet Heat Sweep Efficiency 2026 Workshop Presentation

This is a presentation on Integrated Diagnostics to Interpret Doublet Heat Sweep Efficiency by the Texas Tech University, presented by Smith Leggett. The project is developing integrated fiber-optic sensing, chemical tracer, and numerical modeling approaches to characterize fractu...
Leggett, S. Texas Tech University
Sep 30, 2026
3 Resources
0 Stars
Publicly accessible

Snake River Plain FORGE: Site Characterization Data

The site characterization data used to develop the conceptual geologic model for the Snake River Plain site in Idaho, as part of phase 1 of the Frontier Observatory for Research in Geothermal Energy (FORGE) initiative. This collection includes data on seismic events, groundwater,...
Moos, D. and Barton, C. Idaho National Laboratory
Apr 18, 2016
49 Resources
0 Stars
Publicly accessible

TEAMER: Integral Guam Wave Resource Assessment

The data package submitted supports a pre-feasibility wave energy resource assessment for Guam and includes all spatial, modeling, and processing products generated under the TEAMER Post-Access study. The submission consists of a complete GIS dataset compiled during the desktop st...
Staby, B. and Flanary, C. Integral Consulting Inc.
Mar 17, 2026
2 Resources
0 Stars
Publicly accessible

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

DAISY Benchmark Performance Data

This repository contains the underlying data from benchmark experiments for Drifting Acoustic Instrumentation SYstems (DAISYs) in waves and currents described in "Performance of a Drifting Acoustic Instrumentation SYstem (DAISY) for Characterizing Radiated Noise from Marine Energy...
Polagye, B. et al University of Washington
Sep 28, 2024
6 Resources
0 Stars
Publicly accessible

TEAMER: Field Demonstration of MarineSitu Marine Energy Monitoring Tools (Public)

This submission contains data collected during a four-month field demonstration (July-October 2024) of MarineSitu's Adaptable Monitoring Package (AMP) at the Pacific Northwest National Laboratory (PNNL) Marine and Coastal Research Laboratory (MCRL) in Sequim, WA. The project evalu...
Joslin, J. et al MarineSitu
Aug 21, 2026
6 Resources
0 Stars
Publicly accessible

NREL HPC Eagle Jobs Data

Three months of Eagle jobs data including Slurm metadata and derived power use characterization.
Eash, M. and Egan, H. National Renewable Energy Laboratory
Nov 24, 2020
3 Resources
0 Stars
Publicly accessible

PV Inverter Experimental Dataset Version 2 with 100 Percent Power

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and ...
Prabakar, K. et al National Renewable Energy Laboratory
Nov 10, 2023
2 Resources
0 Stars
Publicly accessible

PV Inverter Experimental Data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and ...
Prabakar, K. et al National Renewable Energy Laboratory
Jan 06, 2023
2 Resources
0 Stars
Publicly accessible

Battery Inverter Experimental Data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 30 kW off-the-shelf grid following battery inverter in the experiments. We used controllable AC supply...
Prabakar, K. et al National Renewable Energy Laboratory
Jan 06, 2023
2 Resources
0 Stars
Publicly accessible

Split Phase Inverter Data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW off-the-shelf grid following split phase PV inverter in the experiments. We used controllable ...
Prabakar, K. et al National Renewable Energy Laboratory
Mar 23, 2023
2 Resources
0 Stars
Publicly accessible
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