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Federal
National Strategic Computing Initiative Update: Pioneering the Future of Computing
Networking and Information Technology Research and Development, Executive Office of the President —
The National Strategic Computing Initiative Update builds on the 2016 Strategic Computing Plan to enable focused and collaborative research, development, and... -
Federal
Fuel Cell Inverter Dataset
Department of Energy —
This data set contains the three phase AC voltage, three phase AC current, DC voltage and DC current. These data sets were captured during fuel cell inverter... -
Federal
Mars orbital image (HiRISE) labeled data set version 3
National Aeronautics and Space Administration —
This data set contains a total of 73,031 landmarks. 10,433 landmarks were detected and extracted from 180 HiRISE browse images, and 62,598 landmarks were augmented... -
Federal
Machine Learning Modeling of Water Quality Based Risk Assessment
U.S. Environmental Protection Agency —
This is the geospatial and hydroclimate input data used to develop data-driven Machine Learning (ML) models as well as model estimated water quality based risk... -
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
Microplastic and nanoplastic chemical characterization by thermal desorption and pyrolysis mass spectrometry with unsupervised machine learning
National Institute of Standards and Technology —
This data publication contains the mass spectrometry chemical characterization of microplastic and nanoplastic chemical analysis. The data from this study includes... -
Federal
Enriched Citation API (Version 2)
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... -
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
Geothermal resource favorability: select features and predictions for the western United States curated for DOI 10.1016/j.geothermics.2023.102662
Department of the Interior —
The data contained herein are five input features (i.e., heat flow, distance to the nearest quaternary fault, distance to the nearest quaternary magma body, seismic... -
Federal
Public Reference Data for Megawatt-Scale Hydrogen Electrolysis - NLR Historical Wind
Department of Energy —
The U.S. Department of Energy and the National Laboratory of the Rockies (NLR) demonstrate hydrogen electrolysis from variable sources, hydrogen compression and... -
Federal
Predictive soil property map: Sand 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
Demonstration of LoA Method For Hydrologic Model Evaluation
U.S. Environmental Protection Agency —
These are hydrometeorological datasets obtained from US national data repositories as inputs to a hydrologic model and model simulations over the St. Joseph River... -
Federal
Code for Predicting MIEs from Gene Expression and Chemical Target Labels with Machine Learning (MIEML)
U.S. Environmental Protection Agency —
Modeling data and analysis scripts generated during the current study are available in the github repository: https://github.com/USEPA/CompTox-MIEML. RefChemDB is... -
Federal
Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin
Department of the Interior —
This data release and model archive provides all data, code, and modelling results used in Topp et al. (2023) to examine the influence of deep learning architecture... -
Federal
PV Inverter Experimental Data
Department of Energy —
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation... -
Federal
Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies
Department of Energy —
This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the... -
Federal
Drinking Water Microbiome OTU Abundance Data Set
U.S. Environmental Protection Agency —
An abundance matrix (BM_OTU.xlsx) contains rows as OTU, columns as samples, and entries representing the abundance of each OTU as a ratio of all sequences obtained... -
Federal
Fire Regimes in the Mojave Desert (1972-2010)
Department of the Interior —
This U.S. Geological Survey data release consists of 3 raster datasets representing estimates of probability of ignition (ProbIgnitPredict.tif), fire frequency... -
Federal
GIS Resource Compilation Map Package - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Department of Energy —
This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to...