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Federal
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
Department of Energy —
The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of... -
Federal
Department of Agriculture Inventory of Artificial Intelligence Use Cases
Department of Agriculture —
This dataset is an inventory of the uses of artificial intelligence (AI) at USDA. The inventory was developed and published as required by OMB M-24-10, "Advancing... -
Federal
Stanford Thermal Earth Model for the Conterminous United States
Department of Energy —
Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model... -
Federal
GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files
Department of Energy —
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which... -
Federal
Theory aware Machine Learning (TaML)
National Institute of Standards and Technology —
A code repository and accompanying data for incorporating imperfect theory into machine learning for improved prediction and explainability. Specifically, it focuses... -
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
EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography
Department of Energy —
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th... -
Federal
Data from: Topographic position index predicts within-field yield variation in a dryland cereal production system
Department of Agriculture —
We investigated drivers of sub-field spatial variability in yield for 3 crops (hard red winter wheat, Triticum aestivum L. variety Langin; corn, Zea mays L.; and... -
Federal
ISA Literature screening dataset v.1
U.S. Environmental Protection Agency —
This dataset contains one instance of the information used in searching and screening peer-reviewed literature to identify references to be used in EPA's Integrated... -
Federal
Workshop Data on Autonomous Methodologies for Accelerating X-ray Measurements
National Institute of Standards and Technology —
The National Institute of Standards and Technology and the International Centre for Diffraction Data co-hosted a workshop on 17-18 October 2023 to identify and... -
State
Executive Branch Artificial Intelligence System Inventory
State of Connecticut —
Public Act No. 23-16, Section 1, effective July 1, 2023, directs the Department of Administrative Services to conduct an annual inventory of all systems that employ...