The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features
https://iclabel.ucsd.edu/tutorial/overview

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ICLabel-Dataset

The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features

datacite.yml
Title	The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features
Authors	Pion-Tonachini,Luca;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;https://orcid.org/0000-0002-4018-7776 Kreutz-Delgado,Ken;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 Makeig,Scott;Swartz Center for Computational Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA
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.
License	Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References
Funding	A gift from The Swartz Foundation (Old Field NY) NSF GRFP DGE-1144086 NIH 2R01-NS047293-14A1
Keywords	Neuroscience Electrophysiology EEG ICA Classification Crowdsourcing
Resource Type	Dataset