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Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments

Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The fric...

Marone, C. Pennsylvania State University

May 05, 2021
1 Resources
0 Stars
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Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2026 Workshop Presentation

This is a presentation on Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics (Global Technology Connection), presented by Dr. Jesse Williams. The project is developing machine-learning and physics-informed models to impro...

Williams, J. GTC Analytics

Sep 30, 2026
3 Resources
0 Stars
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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
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Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite

This dataset contains acoustic-emission (AE), ultrasonic-transmission, permeability, and hydromechanical measurements from triaxial laboratory experiments comparing differential stress-driven and pore-pressure-driven failure in saturated, thermally cracked Barre granite at 80 degr...

Nakata, N. and Pec, M. Lawrence Berkeley National Laboratory

Sep 20, 2026
1 Resources
0 Stars
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Data for Uncontained Ruptures Reduce Energetics of Triggered Seismicity: Laboratory Fault Reactivation Experiments

The dataset contains raw mechanical data from laboratory fault reactivation experiments on pre-stressed granite/granitoid samples, along with experimental parameters and MATLAB processing code for data deduction. The raw time-series data were recorded using a triaxial-shear appara...

Elsworth, D. et al Pennsylvania State University

Apr 13, 2026
15 Resources
0 Stars
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Utah FORGE 6-3656: Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting 2026 Workshop Presentation

This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven Ground Motion Prediction (RT Forecast) by Lawrence Berkeley National Laboratory, presented by Dr. Nori Nakata. The ...

Nakata, N. et al Lawrence Berkeley National Laboratory

Sep 30, 2026
3 Resources
0 Stars
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Utah FORGE 6-3656: Real-Time Traffic Light System and Reservoir Engineering with Seismicity Forecasting and Ground Motion Prediction 2025 Workshop Presentation

Nakata, N. Lawrence Berkeley National Laboratory

Sep 18, 2025
3 Resources
0 Stars
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Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...

Zhu, T. Pennsylvania State University

May 05, 2021
4 Resources
0 Stars
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BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

The BuildingsBench datasets consist of: Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting (STLF). Buildings-900K is statistically representative of the entire U.S. building stock. 7 real residential and com...

Emami, P. and Graf, P. National Renewable Energy Laboratory

Dec 31, 2018
6 Resources
1 Stars
Publicly accessible

Wind Integration National Dataset (WIND) Toolkit

Wind resource data for North America was produced using the Weather Research and Forecasting Model (WRF). The WRF model was initialized with the European Centre for Medium Range Weather Forecasts Interim Reanalysis (ERA-Interm) data set with an initial grid spacing of 54 km. Thre...

Maclaurin, G. et al National Renewable Energy Laboratory

Sep 26, 2014
6 Resources
2 Stars
Publicly accessible

CloudCV 10-Second Sky Images and Irradiance Dataset

The CloudCV 10-Second Sky Image and Irradiance Dataset contains sky images and irradiance measurements recorded every 10 seconds during daylight hours for 90 days between September 5th to December 3rd, 2019. The dataset was collected at the National Renewable Energy Laboratory (NR...

Perr-Sauer, J. et al National Renewable Energy Laboratory

Oct 01, 2024
9 Resources
0 Stars
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Northwest National Marine Renewable Energy Center, OR Final Technical Report & Appendices

In 2008, the US Department of Energy (DOE) Wind and Water Power Program issued a funding opportunity announcement to establish university-led National Marine Renewable Energy Centers. Oregon State University and the University of Washington combined their capabilities in wave and ...

Hellin, D. Northwest National Marine Renewable Energy Center

Jun 30, 2016
2 Resources
0 Stars
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Demand Response Across the Continental US for 2006

This project estimates hourly demand response availability across the continental U.S. for the year 2006. The resulting data set is disaggregated by balancing authority area, end use, and grid application. End uses include 14 categories across residential, commercial, industrial a...

Ma, S. Office of Energy Efficiency and Renewable Energy

Sep 12, 2016
6 Resources
0 Stars
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Surface Meteorological Station PNNL Short Tower, Umatilla Raw Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by th...

Morris, V. Wind Energy Technologies Office (WETO)

Aug 31, 2015
1 Resources
0 Stars
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Error-Level-Controlled Synthetic Forecasts for Renewable Generation

Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...

Zhang, X. et al National Renewable Energy Laboratory (NREL)

Jun 01, 2021
3 Resources
0 Stars
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Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments

Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2026 Workshop Presentation

QuakeCastNet: Source Code for Forecasting of Injection-Induced Seismicity

Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite

Data for Uncontained Ruptures Reduce Energetics of Triggered Seismicity: Laboratory Fault Reactivation Experiments

Utah FORGE 6-3656: Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting 2026 Workshop Presentation

Utah FORGE 6-3656: Real-Time Traffic Light System and Reservoir Engineering with Seismicity Forecasting and Ground Motion Prediction 2025 Workshop Presentation

Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

Wind Integration National Dataset (WIND) Toolkit

CloudCV 10-Second Sky Images and Irradiance Dataset

Northwest National Marine Renewable Energy Center, OR Final Technical Report & Appendices

Demand Response Across the Continental US for 2006

Surface Meteorological Station PNNL Short Tower, Umatilla Raw Data

Error-Level-Controlled Synthetic Forecasts for Renewable Generation

Surface Meteorological Station PNNL 3m Tower, Physics site-8 Raw Data

Surface Meteorological Station PNNL Short Tower, Hood River Raw Data

Surface Meteorological Station PNNL 3m Tower, Physics site-7 Raw Data

Surface Meteorological Station PNNL Short Tower, Grass Valley Raw Data

Surface Meteorological Station PNNL Short Tower, Rufus Raw Data

Surface Meteorological Station PNNL 3m Tower, Physics site-7 Reviewed Data

Surface Meteorological Station PNNL Short Tower, Grass Valley Reviewed Data

Surface Meteorological Station PNNL Short Tower, Rufus Reviewed Data

Surface Meteorological Station PNNL Short Tower, Umatilla Reviewed Data

Surface Meteorological Station PNNL Short Tower, Hood River Reviewed Data