on003523
NEMAR copy of ds003523

EEG: Visual Working Memory in Acute TBI

This dataset comprises electroencephalography (EEG) recordings from individuals with acute mild traumatic brain injury (mTBI) and matched controls performing a visual working memory task with embedded mind wandering probes. Data were collected at three timepoints spanning approximately four months post-injury, with the initial session occurring 3-14 days after injury. The dataset includes fully preprocessed and cleaned EEG data, behavioral measures, and analysis scripts, providing a longitudinal resource for investigating cognitive dysfunction and neural recovery following mild TBI. Note: This dataset has not been published in peer-reviewed literature.

AI-generated description, may include mistakes
Issues GitHub OpenNeuro ds003523

Download this dataset

Pick a method. Large datasets skip the zip and use the streaming methods below — all resumable. Full download guide →

  1. Download archive (.zip) — 32.0 GB

    A single zip of the published version. Best for small/medium datasets.

    Download zip

  2. NEMAR CLI recommended

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

    nemar dataset download on003523
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on003523 on003523
    cd on003523 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on003523 on003523
    cd on003523 && git annex get .
  5. 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/on003523/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/on003523), 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 on003523
    cd on003523 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on003523/ — 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
    91
    Size
    37.5 GB
    Tasks
    VisualWorkingMemory

    License and terms

    License
    CC0
    Recommended citation
    Cavanagh, J. F. (2026). EEG: Visual Working Memory in Acute TBI (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on003523

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on003523/latest/

    How to download

    The dataset
    nemar dataset download on003523 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 on003523 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on003523 Clones git-annex pointers only; fetches no file content. Creates ./on003523.
    A subset, step 2
    cd on003523 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/on003523/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.