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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
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
ns-3 ORAN Module
National Institute of Standards and Technology —
This module for ns-3 implements the classes required to model a network architecture based on the O-RAN Alliance's specifications. These models include a Radio Access... -
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
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
Theory aware Machine Learning (TaML)
Department of Commerce —
A code repository and accompanying data for incorporating imperfect theory into machine learning for improved prediction and explainability. Specifically, it focuses... -
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
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
ANDiE: the Autonomous Neutron Diffraction Explorer.
Department of Commerce —
ANDiE the Autonomous Neutron Diffraction Explorer is a tool for autonomously discovering the magnetic transition temperature and transition dynamics of a material... -
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
Optical scattering measurements and simulation data for one-dimensional (1-D) patterned periodic sub-wavelength features
Department of Commerce —
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
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
O-RAN with Machine Learning in ns-3
Department of Commerce —
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
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
Noise Datasets for Evaluating Deep Generative Models
Department of Commerce —
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
Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
Department of Commerce —
This repository contains results for experiments on generative modeling of synthetic Orthogonal-Frequency Division Multiplexing (OFDM) communication signals. (This... -
Federal
Challenge Round 0 (Dry Run) Test Dataset
Department of Commerce —
This dataset was an initial test harness infrastructure test for the TrojAI program. It should not be used for research. Please use the more refined datasets... -
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
Active Evaluation Software for Selection of Ground Truth Labels
National Institute of Standards and Technology —
This software repository contains a python package Aegis (Active Evaluator Germane Interactive Selector) package that allows us to evaluate machine learning systems's...