1
0

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

Luca Pion-Tonachini ec9c365767 Update 'datacite.yml' 5 rokov pred
dataset bd95676fb4 gin commit from speaking.ucsd.edu 5 rokov pred
features bd95676fb4 gin commit from speaking.ucsd.edu 5 rokov pred
labels 0d0083d380 Upload files to 'labels/crowd_labeling' 5 rokov pred
LICENSE 67aaa335b5 Initial commit 5 rokov pred
README.md d023556fde Update 'README.md' 5 rokov pred
datacite.yml ec9c365767 Update 'datacite.yml' 5 rokov pred

README.md

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