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+authors:
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+ -
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+ firstname: Luca
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+ lastname: Pion-Tonachini
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+ 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'
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+ id: 'https://orcid.org/0000-0002-4018-7776'
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+ -
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+ firstname: Ken
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+ lastname: Kreutz-Delgado
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+ 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'
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+ -
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+ firstname: Scott
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+ lastname: Makeig
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+ affiliation: 'Swartz Center for Computational Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA'
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+title: "The ICLabel Dataset of electroencephalographic (EEG) independent\ncomponent (IC) features"
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+description: "A dataset of spatiotemporal features calculated of electroencephalographic\n(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. "
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+keywords:
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+ - Neuroscience
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+ - Electrophysiology
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+ - EEG
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+ - ICA
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+ - Classification
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+ - Crowdsourcing
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+license:
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+ name: 'Creative Commons CC0 1.0 Public Domain Dedication'
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+ url: 'https://creativecommons.org/publicdomain/zero/1.0/'
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+funding:
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+ - 'A gift from The Swartz Foundation (Old Field NY) '
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+ - 'NSF GRFP DGE-1144086'
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+ - 'NIH 2R01-NS047293-14A1'
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+dtype: Dataset
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