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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
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
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
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
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
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
Microplastic and nanoplastic chemical characterization by thermal desorption and pyrolysis mass spectrometry with unsupervised machine learning
Department of Commerce —
This data publication contains the mass spectrometry chemical characterization of microplastic and nanoplastic chemical analysis. The data from this study includes... -
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
Figure files for "Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays" submitted to Physical Review X
Department of Commerce —
The dataset underlying the figures in the manuscript is "Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays."Abstract of... -
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
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
Department of Commerce —
This project produces synthetic datasets of spectrum sharing simulation results (I/Q data, metadata, and KPIs). -
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
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
Data for Intrinsic DAC calculations
Department of Commerce —
Results of calculations and simulations for the Intrinsic Direct Air Capture analysis of Metal Organic Framwork (MOF) sorbents.Includes Grand Canonical Monte Carlo... -
Federal
Closed-loop Autonomous Materials Exploration and Optimization 1.0
Department of Commerce —
Code and demonstration data for the paper, "On-the-fly closed-loop materials discovery via Bayesian active learning," Kusne, A.G., Yu, H., Wu, C. et al. Nat Commun... -
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
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
Data for Intrinsic DAC calculations
National Institute of Standards and Technology —
Results of calculations and simulations for the Intrinsic Direct Air Capture analysis of Metal Organic Framwork (MOF) sorbents.Includes Grand Canonical Monte Carlo... -
Federal
Projected Temperature and Ozone Data for Ren et al. Bayesian Ensemble Manuscript
U.S. Environmental Protection Agency —
This dataset contains projected temperature and ozone data provided by EPA's Office of Research and Development in support of the manuscript "A Flexible Bayesian... -
Federal
USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I
Department of Agriculture —
In 2014–2022, USDA-ARS Tucson, AZ, by itself and in collaboration with other precision apiculture (PA) research programs, including the PA program at Utah State...