21 datasets found
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Federal
Airfoil Computational Fluid Dynamics - 2k shapes, 25 AoA's, 3 Re numbers
Department of Energy —
This dataset contains aerodynamic quantities - including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and... -
Federal
The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update
Networking and Information Technology Research and Development, Executive Office of the President —
Artificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of society, including the economy, healthcare, security, the law, transportation,... -
Federal
Airfoil Computational Fluid Dynamics - 9k shapes, 2 AoA's
Department of Energy —
This dataset contains aerodynamic quantities - including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and... -
Federal
Training and validation data from the AI for Critical Mineral Assessment Competition (ver. 2.0, July 2025)
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort.... -
Federal
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
Department of Energy —
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... -
Federal
Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites
Department of Energy —
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to... -
Federal
Map georeferencing challenge training and validation data
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort.... -
Federal
Underwater Target Detection Software Demonstration on the RivGen Turbine
Department of Energy —
This repository includes data, object detection models, and processing scripts necessary to evaluate the accuracy of the object detection models created for the... -
Federal
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Department of Energy —
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells... -
Federal
The Convergence of High Performance Computing, Big Data, and Machine Learning: Summary of the Big Data and High End Computing Interagency Working Groups Joint Workshop
Networking and Information Technology Research and Development, Executive Office of the President —
The high performance computing (HPC) and big data (BD) communities traditionally have pursued independent trajectories in the world of computational science. HPC has... -
Federal
Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
Department of Energy —
This dataset contains turbine- and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric... -
Federal
Map feature extraction challenge training and validation data
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort.... -
Federal
3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA
Department of Energy —
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of... -
Federal
Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind)
Department of Energy —
The Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind) data is a collection of high-resolution historical wind, temperature,... -
Federal
Data Supporting "Seabird Tissue Archival and Monitoring Project (STAMP) Data from 1999-2010"
National Institute of Standards and Technology —
Here we provide curated analytical chemistry data for eggs collected from 1999 to 2010 on a subset of species and analytes that were measured regularly and reasonably... -
Federal
Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events
Department of Energy —
This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report... -
Federal
Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)
Department of Energy —
Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island... -
Federal
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
Department of Energy —
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... -
Federal
Open Fine-Grained Activity Detection Scorer (OpenFAD Scorer)
National Institute of Standards and Technology —
System output scoring software of NIST 2022 Open Fine-grained Activity Detection (OpenFAD) challenge. OpenFAD is an activity classification and detection evaluation... -
Federal
Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions - September 2023 Report
Department of Energy —
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum...
21 datasets found