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nm000143 NEMAR-native dataset

BNCI2003_IVa Motor Imagery dataset

The BNCI2003_IVa Motor Imagery dataset comprises EEG recordings from 5 healthy subjects performing motor imagery tasks (right hand and feet movements) in response to visual cues. Acquired with 118 EEG channels at 100 Hz sampling rate, the dataset contains 280 trials per subject and has been preprocessed with bandpass filtering (0.05-200 Hz) and downsampling. This influential dataset from BCI Competition III has been extensively used for benchmarking motor imagery classification algorithms and feature extraction methods including common spatial patterns and movement-related potentials.

EEG

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/nm000143), 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 nm000143
    cd nm000143 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000143/ — 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.

Files

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