nm000113 NEMAR-native dataset

2020 BCI competition, track 3

The 2020 BCI Competition Track 3 dataset comprises EEG recordings from 15 subjects performing imagined speech tasks involving five distinct commands: 'Hello', 'Help me', 'Stop', 'Thank you', and 'Yes'. Designed for brain-computer interface research, the dataset includes 64-channel EEG recordings sampled at 256 Hz, organized into training, validation, and test sets with annotated trial onsets and durations. The data has been converted to BIDS-compliant EDF format with preserved channel montage information and temporal event markers for each imagined speech trial.

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/nm000113), 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 nm000113
cd nm000113 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000113/ — 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.nm000113

Loading demographics…

Files

Loading file index…