Dataset

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

, ,
  1. 1Swartz 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
  2. 2Department 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
  3. 3Swartz Center for Computational Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA

 BROWSE REPOSITORY  BROWSE ARCHIVE  DOWNLOAD ARCHIVE (ZIP 23 GiB)

Published 31 Jan. 2019 | License Creative Commons CC0 1.0 Public Domain Dedication


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.

Keywords

| Neuroscience | Electrophysiology | EEG | ICA | Classification | Crowdsourcing |

References

Funding

  • Swartz Foundation A gift from The Swartz Foundation (Old Field NY)
  • NSF GRFP DGE-1144086
  • NIH 2R01-NS047293-14A1

Citation

Pion-Tonachini L, Kreutz-Delgado K, Makeig S (2019) The ICLabel Dataset of electroencephalographic (EEG) independent component (IC) features. G-Node. https://doi.org/10.12751/g-node.e3ddb5