on004532
NEMAR copy of ds004532

EEG: Probabilistic Selection Task (PST) + PST with Cabergoline Challenge

This dataset comprises EEG recordings from two studies using a Probabilistic Selection Task (PST): Study 1 includes 85 participants (80 healthy controls plus 5 pilot placebo sessions), and Study 2 includes 27 healthy participants (after 3 dropouts from initial 30) in a double-blind design receiving either Cabergoline 1.25 mg or placebo. The dataset was collected circa 2012-2013 at Brown University's Laboratory for Neural Computation & Cognition and provides neurophysiological measures of decision-making and reward processing during probabilistic learning. NOTE: This dataset is unpublished; however, the same sample was used in the published study (10.1038/ncomms6394). Known issues: Subject 173 may have poor EEG data quality. Event file feedback labels ('FB: 0' and 'FB: +1') do not match actual task feedback ('Correct!' or 'Incorrect!'); see stimuli folder for accurate feedback labels. Original task description contained mislabeling as 'Simon Conflict' task; this is a Probabilistic Selection Task (PST).

AI-generated description, may include mistakes
Issues GitHub OpenNeuro ds004532

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) — 21.1 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 on004532
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on004532 on004532
    cd on004532 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on004532 on004532
    cd on004532 && 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/on004532/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/on004532), 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 on004532
    cd on004532 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on004532/ — 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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