328 datasets found
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Federal
2. Inputs for model archive: Identifying structural priors in a hybrid differentiable model for stream water temperature modeling
Department of the Interior —
This data release component contains shapefiles of river basin polygons and monitoring site locations coincident with the outlets of those basins. Three file formats... -
Federal
Deep learning classification of landforms from lidar-derived elevation models in the glaciated portion of the northern Delaware River Basin of New Jersey, New York, and Pennsylvania
Department of the Interior —
The Delaware River Basin (DRB) covers portions of five states (Delaware, Maryland, New Jersey, New York, and Pennsylvania) and several geologic provinces,... -
Federal
A Data-Driven Approach to Complex Voxel Predictions in Grayscale Digital Light Processing Additive Manufacturing Using U-nets and Generative Adversarial Networks
National Institute of Standards and Technology —
Digital light processing (DLP) vat photopolymerization (VP) additive manufacturing (AM) uses patterned UV light to selectively cure a liquid photopolymer into a solid... -
Federal
Process-guided deep learning water temperature predictions: 6c All lakes historical evaluation data
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
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
OPFLearnData: Dataset for Learning AC Optimal Power Flow
Department of Energy —
The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to... -
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
Software for Evaluating Convolutional Generative Adversarial Networks with Classical Random Process Noise Models
National Institute of Standards and Technology —
This research software package contains Python code to execute experiments on deep generative modeling of classical random process models for noise time series.... -
Federal
Machine Learning Model Geotiffs - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Department of Energy —
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning... -
Federal
QSARs for Plasma Protein Binding: Source Data and Predictions
U.S. Environmental Protection Agency —
The dataset has all of the information used to create and evaluate 3 independent QSAR models for the fraction of a chemical unbound by plasma protein (Fub) for... -
Federal
Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis
U.S. Environmental Protection Agency —
The dataset and experimental and predicted amenability calls are provided in the supplemental file “Supplemental_ToxCast_PhaseII.xlsx”. PaDEL descriptors were... -
Federal
Quantifying wintertime O3 and NOx formation with relevance vector machines
U.S. Environmental Protection Agency —
Underlying data associated with figures in publication. Portions of this dataset are inaccessible because: Data is now available for public access. They can be... -
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
Towards a Structured Evaluation Methodology for Artificial Intelligence Technology (SEMAIT) MIg analyZeR (mizr) Package
National Institute of Standards and Technology —
Our work towards a Structured Evaluation Methodology for Artificial Intelligence Technology (SEMAIT) aims to provide plots, tools, methods, and strategies to extract... -
Federal
FengChang et al_ML Output.xlsx
U.S. Environmental Protection Agency —
Outputs from WRF, EPIC, VIC. Outputs and analysis from the ML-based model described in the paper. This dataset is associated with the following publication: Feng... -
Federal
Predictive soil property map: Soil pH
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
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
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
Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2025 Workshop Presentation
Department of Energy —
This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the... -
Federal
Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions - September 2023 Report
Department of Energy —
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum...
328 datasets found