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

11 Achegas

4 Branches

LucaPT faae1e202c updated to include channel-level ica information		%!s(int64=5) %!d(string=hai) anos
dataset	faae1e202c updated to include channel-level ica information	%!s(int64=5) %!d(string=hai) anos
features	faae1e202c updated to include channel-level ica information	%!s(int64=5) %!d(string=hai) anos
labels	0d0083d380 Upload files to 'labels/crowd_labeling'	%!s(int64=5) %!d(string=hai) anos
LICENSE	67aaa335b5 Initial commit	%!s(int64=5) %!d(string=hai) anos
README.md	d023556fde Update 'README.md'	%!s(int64=5) %!d(string=hai) anos
datacite.yml	ec9c365767 Update 'datacite.yml'	%!s(int64=5) %!d(string=hai) anos

ICLabel-Dataset

This repository accompanies the Data in Brief article "The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features."

/features/ contains MATLAB files used in calculating dataset features /labels/ contains python code for estimating reference labels from crowdsources label suggestions /dataset/ contains a python class for loading, manipulating, and visualizaing the ICLabel dataset as well as actual features and labels (in /dataset/features/ and /dataset/labels/, respectively)

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	The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features [] (IsPartOf) ICLabel: An automated electroencephalographic independent component classifier, dataset, and website [] (IsSupplementTo)
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