nm000112 NEMAR-native dataset

FACED - Finer-grained Affective Computing EEG Dataset

FACED is a comprehensive EEG dataset containing scalp recordings from 123 healthy participants viewing 28 emotion-eliciting video clips designed to evoke nine distinct emotion categories. Participants provided detailed self-reported ratings across 12 dimensions including eight emotions, arousal, valence, liking, and familiarity. The dataset facilitates cross-subject affective computing research and development of EEG-based emotion recognition algorithms for real-world applications.

EEG
Download zip Issues GitHub

Compute on this dataset

Two routes today, with a third (in-browser one-click submission) landing soon.

  1. NeuroScience Gateway (NSG) portal.

    NSG runs EEGLAB / Brainstorm / MNE pipelines on supercomputing time donated by SDSC. Create an account, point a job at this dataset's S3 prefix (s3://nemar/nm000112), and submit.
    nsgportal.org →

  2. Local processing with nemar-cli.

    Pull the dataset to your machine and run any toolbox locally. Honors the published version pinning. 

    npm install -g nemar-cli
nemar dataset clone nm000112
cd nm000112 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000112/ — the manifest carries presigned S3 URLs.

Direct compute access is coming soon. One-click NSG submission from this page is scoped for a follow-up phase. Tracked on nemarOrg/website#6.
DOI 10.82901/nemar.nm000112

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Files

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