nm000192 NEMAR-native dataset

BNCI 2015-006 Music BCI dataset

This dataset comprises EEG recordings from 11 healthy participants performing a multi-streamed musical oddball task designed to investigate auditory attention and brain-computer interface applications. Participants selectively attended to one of three concurrent instruments in polyphonic music clips while detecting deviant patterns, with EEG signals recorded at 64 channels and preprocessed to 250 Hz sampling rate. The study demonstrates that attended instruments can be classified from ongoing EEG with 91% mean accuracy using spatio-temporal features and linear discriminant analysis, providing proof of concept for music-based brain-computer interfaces.

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/nm000192), 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 nm000192
cd nm000192 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000192/ — 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.nm000192

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Files

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