on004118
NEMAR copy of ds004118

BCIT Calibration Driving

This dataset contains EEG, eye-tracking, and vehicle simulator data from the BCIT Calibration Driving study, part of the larger BCIT program investigating fatigue in driving performance. Data were collected from participants at three sites using identical driving simulator and EEG setups, with each session consisting of a 15-minute calibration driving task performed prior to other longer BCIT experimental tasks. The dataset is intended to serve as a baseline for non-fatigue-related driving performance for comparison with other same-subject recordings from longer fatigue-inducing tasks.

AI-generated description, may include mistakes
Issues GitHub OpenNeuro ds004118

Download this dataset

dataset 124.3 GB exceeds 100.0 GB archive limit; use direct download. Use one of the streaming methods below — all resumable. Full download guide →

  1. NEMAR CLI recommended

    Pulls the pinned version + annexed data and resumes cleanly. Install nemar-cli →

    nemar dataset download on004118
  2. DataLad

    Clone the dataset repo and fetch file content on demand. Docs →

    datalad clone https://github.com/nemarDatasets/on004118 on004118
    cd on004118 && datalad get .
  3. git-annex

    Plain git + git-annex against the dataset repo. Docs →

    git clone https://github.com/nemarDatasets/on004118 on004118
    cd on004118 && git annex get .
  4. Direct files (wget / curl / rclone)

    Every file with a stable, range-resumable URL from the manifest. Needs curl, jq, wget (or rclone/aria2c). Docs →

    curl -s https://data.nemar.org/on004118/v1.0.0/manifest.json | jq -r '.[].bytes_url' > urls.txt
    wget -xc -i urls.txt

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/on004118), 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 on004118
    cd on004118 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on004118/ — 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.

Citations

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    Files

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    Signal viewer

    How to use the data (for agentic research) license, citation, download commands

    What it is

    Modalities
    EEG
    Participants
    156
    Size
    124 GB
    Tasks
    Drive
    HED version
    8.0.0

    License and terms

    License
    CC0
    Recommended citation
    curation), J. T. (. A., (data), G. A., (data), B. L., (data), S. K., (data), A. R., (data), K. M., (curation), T. J., & (curation), K. R. (2026). BCIT Calibration Driving (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on004118

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on004118/latest/

    How to download

    The dataset
    nemar dataset download on004118 Clones and fetches in one step. Content under stimuli/ and derivatives/ is skipped by default because those trees can be large; add --stimuli --derivatives for the whole thing.
    A subset, one step
    nemar dataset download on004118 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on004118 Clones git-annex pointers only; fetches no file content. Creates ./on004118.
    A subset, step 2
    cd on004118 The get command below reads the clone's annex, so it only works from inside the clone.
    A subset, step 3
    nemar dataset get <files> Pulls the files you actually need. Skips stimuli/ and derivatives/ unless the path you ask for is under one of them.
    One small file
    https://data.nemar.org/on004118/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.