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

Dataset

Title The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features
Authors Pion-Tonachini Luca, Kreutz-Delgado Ken, Makeig Scott,
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
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
Keywords Neuroscience
Electrophysiology
EEG
ICA
Classification
Crowdsourcing
Data This dataset can be browsed online here or downloaded as a zip archive (23 GB). The current version of the dataset repository, possibly with updates, can be found here.
DOI 10.12751/g-node.e3ddb5
Citation This dataset can be cited as:
Pion-Tonachini L, Kreutz-Delgado K, Makeig S, (2019) The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features. G-Node. doi:10.12751/g-node.e3ddb5
Please also consider citing the material listed in the references
Resource Type Dataset