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    • Noise Datasets for Evaluating Deep Generative Models

    Metadata Updated: September 30, 2025

    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 thermal noise, i.e., bandpass filtered white Gaussian noise, 2) power law noise, including fractional Gaussian noise (FGN), fractional Brownian motion (FBM), and fractionally differenced white noise (FDWN), 3) generalized shot noise, 4) impulsive noise, including Bernoulli-Gaussian (BG) and symmetric alpha stable (SAS) distributions. Documentation of simulation methods and experiments with Generative Adversarial Networks (GANs) are given in the paper "Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks" and the associated software; see references below.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.1088/2632-2153/acee44
    https://github.com/usnistgov/NoiseGAN

    Dates

    Metadata Created Date September 30, 2025
    Metadata Updated Date September 30, 2025
    Data Update Frequency irregular

    Metadata Source

    Harvested from Commerce Non Spatial Data.json Harvest Source

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date September 30, 2025
    Metadata Updated Date September 30, 2025
    Publisher National Institute of Standards and Technology
    Maintainer
    Identifier ark:/88434/mds2-3034
    Data First Published 2023-06-22
    Language en
    Data Last Modified 2023-06-07 00:00:00
    Category Advanced Communications:Wireless (RF), Mathematics and Statistics:Image and signal processing, Mathematics and Statistics:Modeling and simulation research
    Public Access Level public
    Data Update Frequency irregular
    Bureau Code 006:55
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 1ff940eb-e8c7-4bc4-bcc1-def3e70a23e2
    Harvest Source Id bce99b55-29c1-47be-b214-b8e71e9180b1
    Harvest Source Title Commerce Non Spatial Data.json Harvest Source
    Homepage URL https://data.nist.gov/od/id/mds2-3034
    License https://www.nist.gov/open/license
    Program Code 006:045
    Related Documents https://doi.org/10.1088/2632-2153/acee44, https://github.com/usnistgov/NoiseGAN
    Source Datajson Identifier True
    Source Hash e80aa73480b899bb22d1c6d6309d1854ef3ff293ea91733c2a6dc0c6e25776f3
    Source Schema Version 1.1

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