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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
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)
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
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
Trojan Detection Software Challenge - nlp-summary-jan2022-train
National Institute of Standards and Technology —
Round 9 Train DatasetThis is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural... -
Federal
Workshop Data on Autonomous Methodologies for Accelerating X-ray Measurements
National Institute of Standards and Technology —
The National Institute of Standards and Technology and the International Centre for Diffraction Data co-hosted a workshop on 17-18 October 2023 to identify and... -
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... -
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
REMI: Resource for Materials Informatics
National Institute of Standards and Technology —
The REsource for Materials Informatics (REMI) will host a diverse collection of scripting notebooks (Jupyter, Matlab LiveScripts, etc.) for collecting, pre-... -
Federal
Closed-loop Autonomous Materials Exploration and Optimization 1.0
National Institute of Standards and Technology —
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
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
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
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
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
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... -
Federal
INTEGRATE - Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
Department of Energy —
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design... -
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...