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Utah FORGE: Composite 3D Seismic Velocity Model
This is a composite 3D seismic velocity that was constructed from compiled information from several local studies regarding seismic velocities and structural information. This seismic velocity model is provided in NonLinLoc format (slow_len), which is readily usable in NonLinLoc ...
Finger, C. et al University of Utah Seismograph Stations
Feb 09, 2024
1 Resources
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1 Resources
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Wave Measurements taken NW of Culebra Island, Puerto Rico, 2023
Wave and sea surface temperature measurements collected by a Sofar Spotter buoy in 2023. The buoy was deployed on July 27, 2023 at 11:30 UTC northwest of Culebra Island, Puerto Rico, (18.3878 N, 65.3899 W) and recovered on Nov 5, 2023 at 12:45 UTC.
Data are saved here in netCDF ...
McVey, J. et al Pacific Northwest National Laboratory
Jul 27, 2023
11 Resources
0 Stars
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11 Resources
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TEAMER: WEC-Sim Modeling of Laminar Scientific Patented Seesaw Wave Energy Converter
Laminar Scientific's patented nearshore seesaw wave energy converter has several features assessed in this study utilizing the Wave Energy Converter SIMulator (WEC-Sim) Facility. One of these features is the ability to change spacing between two spherical floats of the seesaw to a...
Iyer, N. et al Laminar Scientific Inc.
Nov 21, 2024
2 Resources
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2 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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3 Resources
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TEAMER: Numerical Model of IProTech PIP WEC Device
iProTech PIP wave energy converter (WEC) is a slack moored, single hull device with no moving parts in the water, joints or bearings. This submission includes data of the simulation, reports, and code for the iProTech PIP (WEC) project. The organization of the data included in the...
Ogden, D. et al IProTech
Nov 02, 2021
3 Resources
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3 Resources
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GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...
Vesselinov, V. Los Alamos National Laboratory
Mar 29, 2021
4 Resources
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4 Resources
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The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017
The Foundational Industry Energy Dataset (FIED) addresses several of the areas of growing disconnect between the demands of industrial energy analysis and the state of industrial energy data by providing unit-level characterization by facility. Each facility is identified by a uni...
McMillan, C. et al National Renewable Energy Laboratory (NREL)
Jul 01, 2024
4 Resources
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4 Resources
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Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) ...
Ayyanar, R. et al Arizona State University
Feb 01, 2025
12 Resources
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12 Resources
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TEAMER: Public Initial Optimization of a Vessel-mounted Removable Current Energy Converter
This project focuses on developing a numerical tool to estimate the Levelized Cost of Energy (LCOE) for vessel-mounted hydrokinetic turbines. By leveraging open-source software and public-domain data, the tool evaluates energy capture and costs for deploying turbines on vessels in...
Forbush, D. et al Sandia National Laboratories
Jul 31, 2024
4 Resources
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4 Resources
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1D Heat Loss Models Validation Experiment
Contains data from the model validation in the 1D Heat Loss Models to Predict the Aquifer Temperature Profile during Hot/Cold Water Injection Project. The data include two COMSOL models (2D axisymmetric benchmark model and 2D Vinsome model), one python code (1D Vinsome based FEM n...
Chen, K. et al UC Berkeley
Jan 18, 2022
8 Resources
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8 Resources
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ALFA Shared Autonomy Manipulation Data with a Seabotix vLBV300
This report outlines marine field demonstrations for manipulation tasks with a semi-Autonomous Underwater Vehicle (sAUV). The vehicle is built off a Seabotix vLBV300 platform with custom software interfacing it with the Robot Operating System (ROS). The vehicle utilizes an inertia...
Hollinger, G. and Lawrance, N. Oregon State University
Jun 19, 2017
2 Resources
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2 Resources
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Dataset for H2SAFE Controlled Gas Releases and Sensor-Response for Indoor Hydrogen Safety
This dataset was developed to support hydrogen safety research by using helium as a nonflammable surrogate for hydrogen in controlled indoor release experiments. The data were collected in two full-scale indoor laboratory enclosures, identified as Lab-1 and Lab-2, to characterize ...
Peaslee, D. et al National Laboratory of the Rockies
Oct 05, 2026
3 Resources
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3 Resources
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Admiralty Inlet Hub-Height Turbulence Measurements from June 2012
This data is from measurements at Admiralty Head, in Admiralty Inlet. The measurements were made using an IMU equipped ADV mounted on a mooring, the 'Tidal Turbulence Mooring' or 'TTM'. The inertial measurements from the IMU allows for removal of mooring motion in post processing....
Kilcher, L. National Renewable Energy Laboratory
Jun 18, 2012
7 Resources
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7 Resources
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Bottom Shear Stress in Lake Erie for Parameterization
2008-2009 bottom currents, turbidity, wind and waves in Lake Erie. The dataset is used for calculating bottom shear stress and evaluating bottom shear stress parameterization methods. Bottom shear stress is the driving force of sediment entrainment. Understanding bottom shear stre...
Lin, S. Uppsala University
Mar 18, 2022
1 Resources
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1 Resources
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Coupling Subsurface and Above-Surface Models for Optimizing the Design of Borefields and District Heating and Cooling Systems
Accurate dynamic energy simulation is important for the design and sizing of district heating and cooling systems with geothermal heat exchange for seasonal energy storage. Current modeling approaches in building and district energy simulation tools typically consider heat conduct...
Hu, J. et al Lawrence Berkeley National Laboratory
Jan 31, 2022
9 Resources
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9 Resources
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Water Velocity and Turbulence Data from Sequim Bay, WA, 2016 2025
Collection of publishable datasets from bottom-lander deployments of acoustic Doppler instrumentation in Sequim Bay, WA measured between 2016 and 2025. These data primarily consist of water velocity measurements from ADCPs deployed by PNNL in both the inlet and the bay itself.
R...
Harding, S. et al Pacific Northwest National Laboratory
Jul 12, 2016
10 Resources
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10 Resources
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Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development Hinesburg, VT
This dataset contains materials from the Coalition for Community-Supported Affordable Geothermal Energy Systems (C2SAGES) project, which evaluated the techno-economic feasibility of a community geothermal system for a residential development in Hinesburg, VT. The dataset includes ...
Jogineedi, R. et al GTI Energy
Aug 30, 2024
56 Resources
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56 Resources
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Visualization Encoding Experiments for Power Systems Analysis
Through a human factors study, we evaluated the use of contour and glyph visualizations for two modern power systems models: an urban distribution model and a large-scale transmission model. This dataset provides model data and scripts for recreating the power flow data and visual...
Gruchalla, K. et al National Renewable Energy Laboratory
Oct 26, 2022
4 Resources
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4 Resources
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Newberry Volcano Joint Active-Source and Teleseismic P-Wave Tomography Slowness Model and Processing Code
This dataset contains a three-dimensional seismic slowness model and MATLAB processing code derived from P-wave seismic data collected at Newberry Volcano in central Oregon. The associated study combines active-source first-arrival travel times with teleseismic P-wave delay times ...
Heath, B. et al University of Oregon
Dec 14, 2015
8 Resources
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8 Resources
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Fallon FORGE: Distinct Element Reservoir Modeling
Archive containing input/output data for distinct element reservoir modeling for Fallon FORGE. Models created using 3DEC, InSite, and in-house Python algorithms (ITASCA). List of archived files follows; please see 'Modeling Metadata.pdf' (included as a resource below) for addition...
Blankenship, D. et al Sandia National Laboratories
Mar 12, 2018
2 Resources
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2 Resources
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Renewable Energy Potential Model: Priority Geothermal Leasing Areas ReEDs Results
This dataset contains the results of a study conducted by the National Renewable Energy Laboratory (NREL) to identify potential future priority geothermal leasing areas on Bureau of Land Management (BLM) and United States Forest Service (USFS) lands. The analysis uses the Regional...
Smith, F. et al National Renewable Energy Laboratory
May 20, 2024
4 Resources
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4 Resources
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Gradient-Based Optimization Framework for Mass Distribution of Floating Wave Energy Converter Hulls
This MATLAB suite optimizes the internal mass distribution and inertial properties of floating wave energy converter (WEC) hulls. The gradient-based framework employs Sequential Quadratic Programming (SQP) to tune uncoupled natural frequencies in heave and/or pitch towards resonan...
Kotzamanis, V. and Kalliontzis, D. University of Houston
May 01, 2026
7 Resources
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7 Resources
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2023 National Offshore Wind data set (NOW-23)
The 2023 National Offshore Wind data set (NOW-23) is the latest wind resource data set for offshore regions in the United States, which supersedes, for its offshore component, the Wind Integration National Dataset (WIND) Toolkit, which was published about a decade ago and is curre...
Bodini, N. et al National Renewable Energy Laboratory
Jan 01, 2020
23 Resources
2 Stars
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23 Resources
2 Stars
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Performance data for an axial-flow turbine with passive adaptive blades
To support the development of simulation tools for passive adaptive turbine rotors, an experimental data set from a laboratory-scale axial-flow turbine with passive adaptive blades is provided. The 0.45-meter diameter turbine was tested in the Alice C. Tyler Flume at the Universit...
Van Ness, K. et al University of Washington
May 01, 2024
1 Resources
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1 Resources
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Drilling Parameters for ESH-1 Well at Cornell University Borehole Observatory
This data set includes drill rig drilling parameters from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 an...
Fulton, P. et al Cornell University
Jun 24, 2026
6 Resources
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6 Resources
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