authors:
  -
    firstname: Luca
    lastname: Pion-Tonachini
    affiliation: 'Swartz Center for Computational Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA and Department of Electrical and Computer Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA'
    id: 'https://orcid.org/0000-0002-4018-7776'
  -
    firstname: Ken
    lastname: Kreutz-Delgado
    affiliation: 'Department of Electrical and Computer Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA and Pattern Recognition Laboratory, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA'
  -
    firstname: Scott
    lastname: Makeig
    affiliation: 'Swartz Center for Computational Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA'
title: 'The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features'
description: 'A dataset of spatiotemporal features calculated of electroencephalographic (EEG) independent components (IC). Includes features from over 200,000 ICs. Crowdsourced labels exist for more than 8,000 ICs. A test set of 130 ICs has labels estimated from suggest classifications submitted by six expert human IC labelers. '
keywords:
  - Neuroscience
  - Electrophysiology
  - EEG
  - ICA
  - Classification
  - Crowdsourcing
license:
  name: 'Creative Commons CC0 1.0 Public Domain Dedication'
  url: 'https://creativecommons.org/publicdomain/zero/1.0/'
references:
  -
    reftype: 'IsPartOf'
    name: 'The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features'
  -
    reftype: 'IsSupplementTo'
    name: 'ICLabel: An automated electroencephalographic independent component classifier, dataset, and website'
funding:
  - 'A gift from The Swartz Foundation (Old Field NY) '
  - 'NSF GRFP DGE-1144086'
  - 'NIH 2R01-NS047293-14A1'
dtype: Dataset