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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
A database of chemical absorption in human skin with mechanistic modeling applications
U.S. Environmental Protection Agency —
Data Records The database is deposited on the Dryad Digital Repository as a series of Microsoft Excel files prepared to be used in coding. It is presented as... -
Federal
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Department of Energy —
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells... -
Federal
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
Department of Energy —
The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time... -
Federal
The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update
Networking and Information Technology Research and Development, Executive Office of the President —
Artificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of society, including the economy, healthcare, security, the law, transportation,... -
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
Dataset of channels and received IEEE 802.11ay signals for sensing applications in the 60GHz band
National Institute of Standards and Technology —
The dataset can be used to develop and test algorithms for communication and sensing in the 60GHz band. The dataset consists of synthetically generated indoor mm-wave... -
Federal
Data for machine learning predictions of pH in the glacial aquifer system, northern USA
Department of the Interior —
A boosted regression tree (BRT) model was developed to predict pH conditions in three-dimensions throughout the glacial aquifer system (GLAC) of the contiguous United... -
Federal
O-RAN with Machine Learning in ns-3
National Institute of Standards and Technology —
This dataset contains a comparison of packet loss counts vs handovers using four different methods: baseline, heuristic, distance, and machine learning, as well as... -
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
Mojave Desert Ecoregion
Department of the Interior —
This is a shapefile of the Mojave Desert, which was used as our study area boundary (MojaveEcoregion_TNS_UTM83.shp). -
Federal
Lake Erie HABs Modeling Dataset
U.S. Environmental Protection Agency —
The dataset include hydroclimate and ambient environmental as the input data and Cyanobacterial HABs Index (CI) calculated from satellite imageries as the output data... -
Federal
Map feature extraction 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
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
Simulated Radar Waveform and RF Dataset Generator for Incumbent Signals in the 3.5 GHz CBRS Band
National Institute of Standards and Technology —
This software tool generates simulated radar signals and creates RF datasets. The datasets can be used to develop and test detection algorithms by utilizing machine... -
Federal
Modeling data for burn severity of the East Troublesome and Grizzly Creek for integration with post-fire debris flow in the upper Colorado River basin, USA
Department of the Interior —
These data were compiled for/to provide an example and assess methods and results of pre-fire estimation of predicted differenced normalized burn ration (dNBR) for... -
Federal
Appendices for Geothermal Exploration Artificial Intelligence Report
Department of Energy —
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect... -
Federal
GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Department of Energy —
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal... -
Federal
Segmentation of lipid nanoparticles from cryogenic electron microscopy images
National Institute of Standards and Technology —
Lipid nanoparticles (LNPs) were prepared as described (https://doi.org/10.1038/s42003-021-02441-2) using the lipids DLin-KC2-DMA, DSPC, cholesterol, and PEG-DMG2000... -
Federal
The Convergence of High Performance Computing, Big Data, and Machine Learning: Summary of the Big Data and High End Computing Interagency Working Groups Joint Workshop
Networking and Information Technology Research and Development, Executive Office of the President —
The high performance computing (HPC) and big data (BD) communities traditionally have pursued independent trajectories in the world of computational science. HPC has...