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Federal
Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)
Department of Energy —
The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity,... -
Federal
Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022)
Department of the Interior —
This item contains data and code used in experiments that produced the results for Sadler et. al (2022) (see below for full reference). We ran five experiments for... -
Federal
Predictive soil property map: Silt content
Department of the Interior —
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado... -
Federal
Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Department of Energy —
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic... -
Federal
Predictive soil property map: Clay content
Department of the Interior —
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado... -
Federal
Public Reference Data for Megawatt-Scale Hydrogen Electrolysis – Simulated Wind
Department of Energy —
The U.S. Department of Energy and the National Laboratory of the Rockies (NLR) demonstrate hydrogen electrolysis, hydrogen compression and storage, and variable... -
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
Predicted Calving and Post-calving Season Resource Use of the Porcupine Caribou Herd During 2012–2018 With Future Projections for the 2030s, 2040s, and 2050s
Department of the Interior —
This dataset contains rasters and polygon shapefiles related to predicted resource use of the Porcupine Caribou Herd (PCH) during the calving (26 May–10 June) and... -
Federal
Chemical product and function dataset
U.S. Environmental Protection Agency —
Merged product weight fraction and chemical function data. This dataset is associated with the following publication: Isaacs , K., M. Goldsmith, P. Egeghy , K.... -
Federal
STI Tagging Models
National Aeronautics and Space Administration —
Keyword models for a subset of the NASA Thesaurus (https://www.sti.nasa.gov/nasa-thesaurus/). These models were trained on the NASA Technical Reports Server (NTRS).... -
Federal
Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)
Department of Energy —
This dataset shows the operation of the fuel cell inverter under grid-forming mode of operation, grid-following mode of operation and transition between the two modes. -
Federal
Predictive soil property map: Calcium carbonate content
Department of the Interior —
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado... -
Federal
Noise Datasets for Evaluating Deep Generative Models
National Institute of Standards and Technology —
Synthetic training and test datasets for experiments on deep generative modeling of noise time series. Consists of data for the following noise types: 1) band-limited... -
Federal
Public Reference Data for Megawatt-Scale Hydrogen Electrolysis – Simulated Wave
Department of Energy —
The U.S. Department of Energy and the National Laboratory of the Rockies (NLR) demonstrate hydrogen electrolysis, hydrogen compression and storage, and variable... -
Federal
Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020
Department of the Interior —
These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33).... -
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... -
Federal
Agricultural Research Word Vectors
Department of Agriculture —
This model was originally trained for use in a recommendation system to the Ag Data Commons that will automatically link viewers of one dataset to other directly... -
Federal
CHIPS-FF: Evaluating Universal Machine Learning Force Fields for Material Properties
National Institute of Standards and Technology —
CHIPS-FF (Computational High-Performance Infrastructure for Predictive Simulation-based Force Fields) is a universal, open-source benchmarking platform for machine... -
Federal
Importance of predictor variables for models of chemical function
U.S. Environmental Protection Agency —
Importance of random forest predictors for all classification models of chemical function. This dataset is associated with the following publication: Isaacs , K., M.... -
Federal
Enriched Citation API (Version 3)
Department of Commerce —
The Enriched Citation API provides the Intellectual Property 5 (IP5 - EPO, JPO, KIPO, CNIPA, and USPTO) and the Public with greater insight into the patent evaluation...