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Federal
GrainGenes- A Global Data Repository for Small Grains
Department of Agriculture —
GrainGenes is an international, centralized crop database for peer-reviewed small grains data and information portal that serves the small grains research and... -
Federal
INGENIOUS - Great Basin Regional Dataset Compilation
Department of Energy —
This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project. The... -
Federal
<i>Salmonella enterica </i>pangenome graph and variant call data for 539,283 genomes
Department of Agriculture —
Salmonella pangenome graph and variant call data for 539,283 genomesDescription:Salmonella enterica causes human disease and decreases agricultural production. The... -
Federal
ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models
National Institute of Standards and Technology —
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine... -
Federal
Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak
Department of Energy —
The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning 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
ANDiE: the Autonomous Neutron Diffraction Explorer.
National Institute of Standards and Technology —
ANDiE the Autonomous Neutron Diffraction Explorer is a tool for autonomously discovering the magnetic transition temperature and transition dynamics of a material... -
Federal
Image dataset of plant-parasitic nematodes associated with cool-season turfgrass for machine learning and deep learning classification algorithms
Department of Agriculture —
The dataset contains micrographs of Hoplolaimus, Helicotylenchus, Meloidogyne, Mesocriconema, Pratylenchus, Trichodorus, and Tylenchorhynchus nematodes. The data were... -
Federal
Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing
National Institute of Standards and Technology —
There is often a large amount of maintenance data already available for use in Smart Manufacturing systems, but in a currently-unusable form: service tickets and... -
Federal
Optical scattering measurements and simulation data for one-dimensional (1-D) patterned periodic sub-wavelength features
National Institute of Standards and Technology —
This data set consists of both measured and simulated optical intensities scattered off periodic line arrays, with simulations based upon an average geometric model... -
Federal
Battery 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
Deep Learning for Water Quality
U.S. Environmental Protection Agency —
Streamflow data (Fig. 1a) from the Global Streamflow Indices and Metadata Archive (GSIM) were compiled from repositories at https://doi.org/10.1594/PANGAEA.887477 and... -
Federal
Dataset for paper Y. Ma, S. Mosleh and J. Coder, "Analyzing 5G NR-U and WiGig Coexistence with Multiple-Beam Directional LBT," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, pp. 272-275, doi: 10.1109/CCNC49033.2022.9700690
National Institute of Standards and Technology —
This project produces synthetic datasets of spectrum sharing simulation results (I/Q data, metadata, and KPIs). -
Federal
Lithium observations, machine-learning predictions, and mass estimates from the Smackover Formation brines in southern Arkansas
Department of the Interior —
Global demand for lithium, the primary component of lithium-ion batteries, greatly exceeds known supplies and this imbalance is expected to increase as the world... -
Federal
US EPA EnviroAtlas Meter-Scale Urban Land Cover (MULC) Data Characteristics
U.S. Environmental Protection Agency —
Meter-scale Urban Land Cover (MULC), a unique, high resolution (one meter2 per pixel) land cover dataset, has been developed for 30 US communities for the United... -
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
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
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...