on005907
NEMAR copy of ds005907

EEG: RL Task (3-Armed Bandit) with alcohol cues in hazardous drinkers and ctls

This dataset contains EEG recordings from 53 community participants performing a reinforcement learning task (3-armed bandit) featuring alcohol versus beverage cues, designed to examine aberrant cue-specific exploration behavior in hazardous drinkers compared to controls. Data were collected between 2019 and 2021 at the Clinical and Research Center for Learning (CRCL) at the University of New Mexico. The dataset is a preprocessed derivative generated using the NEMAR-pipeline, intended to support electrophysiological analyses of reward learning and cue reactivity in the context of alcohol use.

AI-generated description, may include mistakes
Issues GitHub OpenNeuro ds005907

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) — 5.5 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 on005907
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on005907 on005907
    cd on005907 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on005907 on005907
    cd on005907 && 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/on005907/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/on005907), 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 on005907
    cd on005907 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on005907/ — 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

    Loading demographics…

    Files

    Loading file index…

    Signal viewer