on002778
NEMAR copy of ds002778

UC San Diego Resting State EEG Data from Patients with Parkinson's Disease

Resting-state EEG recorded at UC San Diego from patients with Parkinson's disease and healthy controls. Patients were recorded in two sessions, on and off dopaminergic medication, while controls completed a single session. The dataset includes participant demographics and UPDRS and MMSE clinical measures, and is curated in BIDS format for studying oscillatory and waveform characteristics of Parkinson's disease.

AI-generated description, may include mistakes
BEH EEG
Issues GitHub OpenNeuro ds002778

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) — 0.4 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 on002778
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on002778 on002778
    cd on002778 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on002778 on002778
    cd on002778 && 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/on002778/v1.0.2/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/on002778), 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 on002778
    cd on002778 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on002778/ — 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
    BEH, EEG
    Participants
    31
    Size
    545 MB
    Tasks
    rest

    License and terms

    License
    CC0
    Recommended citation
    Rockhill, A. P., Jackson, N., George, J., Aron, A., & Swann, N. C. (2026). UC San Diego Resting State EEG Data from Patients with Parkinson's Disease (Version v1.0.2) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on002778

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on002778/latest/

    How to download

    The dataset
    nemar dataset download on002778 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 on002778 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on002778 Clones git-annex pointers only; fetches no file content. Creates ./on002778.
    A subset, step 2
    cd on002778 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/on002778/v1.0.2/participants.tsv A direct HTTPS fetch works for any single file.