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The PNNL-TUNAMELT Dataset for Automated Detection Around Marine Energy Devices
This labeled dataset contains 107,451 acoustic camera video frames capturing marine life interactions around an underwater tidal turbine. Each frame is annotated with bounding boxes identifying marine life objects as labeled by a fish biologist. Created to support research into au...
Nowak, T. et al Pacific Northwest National Laboratory
Jun 01, 2025
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Demand-Side Grid (dsgrid) TEMPO Light-Duty Vehicle Charging Profiles v2022
Simulated hourly electric vehicle charging profiles for light-duty household passenger vehicles in the contiguous United States, 2018-2050. Profiles are differentiated by scenario, county, household and vehicle types, and charging type. Data was produced in 2022 using the Transpor...
Yip, A. et al National Renewable Energy Laboratory
Aug 29, 2023
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
Programs and Code for Geothermal Exploration Artificial Intelligence
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Moraga, J. Colorado School of Mines
Apr 27, 2021
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
QuakeCastNet: Source Code for Forecasting of Injection-Induced Seismicity
This submission houses the companion code for the manuscript by Zhengfa Bi (Lawrence Berkeley National Laboratory) and Nori Nakata (Lawrence Berkeley National Laboratory; MIT). Both the companion code and manuscript are included in the resources section of this submission.
Fluid ...
Nakata, N. and Bi, Z. Lawrence Berkeley National Laboratory
Sep 20, 2026
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible
High Resolution Tidal Hindcast (US Tidal) Dataset
This Water Power Technologies Office (WPTO) High Resolution Tidal Hindcast dataset (us-tidal) provides standardized tidal energy data for five strategically selected U.S. coastal locations with significant tidal energy potential. Developed collaboratively by Pacific Northwest Nati...
Yang, Z. et al National Laboratory of the Rockies
Jun 09, 2025
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Transient Data Library of Solar Grid Integrated Distributed System
This submission contains an open-source library of transient events in distributed system with high solar PV. The library includes the collected data, related documents and scripts for loading the data. The data library is built for transient event detection and machine learning b...
Kuruganti, T. and Dong, Y. Oak Ridge National Laboratory
Nov 10, 2022
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Demand-Side Grid (dsgrid) Building Load Profiles using ResStock and ComStock v2021
This dataset contains simulated hourly end use load profiles of the residential and commercial building sector in the contiguous United States for every other year from 2010 to 2050. Data were produced in 2021 using ResStock and ComStock, which are building stock energy models of ...
Liu, L. et al National Renewable Energy Lab (NREL)
Apr 12, 2021
9 Resources
1 Stars
Publicly accessible
9 Resources
1 Stars
Publicly accessible
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
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
2022 Annual Technology Baseline (ATB) Cost and Performance Data for Transportation Technologies
The 2022 Transportation Annual Technology Baseline (ATB) provides detailed cost and performance data, estimates, and assumptions for vehicle and fuel technologies in the United States. It includes current and projected estimates: time-series through 2050 for light, medium, and hea...
Vimmerstedt, L. et al National Renewable Energy Laboratory (NREL)
Nov 17, 2023
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
2024 Annual Technology Baseline (ATB) Cost and Performance Data for Transportation Technologies
The 2024 Transportation Annual Technology Baseline (ATB) provides detailed cost and performance data, estimates, and assumptions for vehicle and fuel technologies in the United States. It includes current and projected estimates: time-series through 2050 for light, medium, and hea...
Vimmerstedt, L. et al National Renewable Energy Laboratory (NREL)
Nov 11, 2024
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Rosario Strait Tidal Resource Characterization
Observational dataset from the Orcas Island Power and Light Coop. (OPALCO) tidal site in Rosario Strait, WA (USA). This project presents a resource characterization of the tidal currents at a proposed site for power generation in Rosario Strait, WA (USA). Acoustic Doppler Current...
Thomson, J. et al Pacific Marine Energy Center (PMEC)
Mar 20, 2025
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
Curated Modeled Fault Data Set
The curated fault model simulation data set consists of tagged and fully-described time series representing simulated faults for the AFDD test building (ORNLs Flexible Research Platform (FRP)), including baseline performance, faulty performance, and corresponding energy impact. A ...
Kim, J. and Leach, M. National Renewable Energy Laboratory
Jun 24, 2019
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification.
In this study, a machine-learning-assiste...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
PacWave Site Observations
The PacWave Site Observations submission contains raw and near-real-time meteorological and oceanic measurements at the PacWave wave energy test site. PacWave is an open-ocean testing facility operated by Oregon State University, located off the coast of Newport, Oregon. The test ...
Hembrough, B. et al Oregon State University
Jan 01, 2020
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
TEAMER: Vertical Axis Hydrokinetic Turbine Array Modeling And Optimization Data
This dataset from Emrgy Inc., in collaboration with Sandia National Laboratories, includes integration of modular vertical axis hydrokinetic (HK) turbines into a higher fidelity canal hydraulic model. This submission contains all data collected and used for the Vertical Axis Hydro...
Cuthbert, T. Emrgy, Inc.
Jul 31, 2024
34 Resources
0 Stars
Publicly accessible
34 Resources
0 Stars
Publicly accessible
National Solar Radiation Database (NSRDB)
The National Solar Radiation Database (NSRDB) is a serially complete collection of meteorological and solar irradiance data sets for the United States and a growing list of international locations for 1998-2025. The NSRDB is updated annually and provides foundational information t...
Sengupta, M. et al National Renewable Energy Laboratory
Sep 28, 2018
7 Resources
2 Stars
Publicly accessible
7 Resources
2 Stars
Publicly accessible
Utah FORGE: Fluid Injection-Rate Controls on Seismic Moment from Laboratory Fault Reactivation Experiments
This dataset contains experimental and acoustic data from shear reactivation tests that investigate the relationship between fluid-injection rate, pore pressure distribution, and seismic moment during laboratory fault slip. It includes raw mechanical data and acoustic emission rec...
Elsworth, D. et al Pennsylvania State University
Sep 16, 2025
31 Resources
0 Stars
Publicly accessible
31 Resources
0 Stars
Publicly accessible
Wind Speed Dataset with Observation And Copula-based Bias Correction and Multi-Model Fusion at 23 U.S. Locations
This dataset provides two related products of bias-corrected hourly wind speed at 23 U.S. sites spanning coastal, inland, mountainous, and plains regions, designed for energy applications and wind-related research. Physics-based models carry systematic biases relative to observati...
Zhang, W. et al National Laboratory of the Rockies (NLR)
Jun 15, 2026
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging Years 1 and 2 Software and Data
Software and testing data from the OH Hinsdale Wave lab for DOE-funded project on Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging. This project will perform foundational research and testing to accelerate the sector-wide development a...
Hollinger, G. et al Oregon State University
Oct 26, 2022
14 Resources
0 Stars
Publicly accessible
14 Resources
0 Stars
Publicly accessible
PVade Wind-Loading Structural Response Dataset for Solar Photovoltaic Arrays
This dataset contains approximately 3,800 coupled fluid-structure interaction (FSI) simulations of single-axis tracked photovoltaic (PV) arrays, computed using PVade (PV Aerodynamic Design Engineering), an open-source tool for simulating the wind-driven motion and deformation of P...
Safi, M. et al National Laboratory of the Rockies (NLR)
Sep 15, 2026
1 Resources
0 Stars
Awaiting curation
1 Resources
0 Stars
Awaiting curation
ARPA-E Grid Optimization (GO) Competition Challenge 3
Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public.
The Grid Optimizat...
Elbert, S. et al Pacific Northwest National Laboratory
May 02, 2024
39 Resources
1 Stars
Publicly accessible
39 Resources
1 Stars
Publicly accessible
Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging Year 4 Software and Data
This dataset contains software, sensor data, and experimental recordings generated during Year 4 of a DOE-funded project focused on the co-design of marine energy converters and autonomous underwater vehicle (AUV) docking and recharging systems. The data were collected during expe...
Hollinger, G. et al Oregon State University
Oct 15, 2025
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation
The work aims to achieve optimal tidal energy conversion through a comprehensive approach of modeling, optimization, and control hardware-in-the-loop (CHIL) validation. By developing accurate models and employing optimization techniques, it seeks to identify efficient system confi...
Luo, F. et al Stony Brook University
Jul 17, 2023
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible