Found 24 datasets matching filters.
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This dataset contains aerodynamic quantities - including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) - for 1,830 airfoil...
Search relevance: 1.00 | Views last month: 81 | Published on: 2026-01-27 -
This dataset contains aerodynamic quantities - including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) - for 8,996 airfoil...
Search relevance: 1.00 | Views last month: 45 | Published on: 2026-01-27 -
Artificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of society, including the economy, healthcare, security, the law, transportation, even technology itself. On...
Search relevance: 1.00 | Views last month: 32 | Published on: 2025-08-02 -
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 conditions. The power outputs...
Search relevance: 1.00 | Views last month: 10 | Published on: 2026-01-27 -
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells - increasing or decreasing...
Search relevance: 1.00 | Views last month: 4 | Published on: 2026-01-27 -
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation,...
Search relevance: 1.00 | Views last month: 3 | Published on: 2026-03-03 -
The Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind) data is a collection of high-resolution historical wind, temperature, humidity, and pressure fields....
Search relevance: 1.00 | Views last month: 3 | Published on: 2026-01-27 -
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...
Search relevance: 1.00 | Views last month: 2 | Published on: 2026-01-27 -
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...
Search relevance: 1.00 | Views last month: 2 | Published on: 2026-01-27 -
The high performance computing (HPC) and big data (BD) communities traditionally have pursued independent trajectories in the world of computational science. HPC has been synonymous with modeling...
Search relevance: 1.00 | Views last month: 2 | Published on: 2025-08-02 -
Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island (UHI) effects into...
Search relevance: 1.00 | Views last month: 2 | Published on: 2026-01-27 -
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 systematically. Included in...
Search relevance: 1.00 | Views last month: 1 | Published on: 2025-08-02 -
This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting...
Search relevance: 1.00 | Views last month: 1 | Published on: 2026-01-27 -
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation,...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-01-27 -
This is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of designing a recurrent...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-01-27 -
System output scoring software of NIST 2022 Open Fine-grained Activity Detection (OpenFAD) challenge. OpenFAD is an activity classification and detection evaluation to measure how well systems can...
Search relevance: 1.00 | Views last month: 0 | Published on: 2025-08-02 -
This catalog contains microseismic event locations recorded during the April 2024 stimulation at the Utah FORGE site. Events were detected and located using a DAS-specific source imaging workflow...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-01-27 -
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-01-27 -
This repository includes data, object detection models, and processing scripts necessary to evaluate the accuracy of the object detection models created for the underwater target detection...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-01-27