on007114
NEMAR copy of ds007114

SUBEMOcondEEG1

SUBEMOcondEEG1 is a neurophysiological dataset comprising EEG, pupillometry, and behavioral data from 28 healthy participants (final sample after quality control from 32 initial volunteers; 4 excluded due to low signal-to-noise ratio on electrophysiological data) engaged in a fear conditioning paradigm with auditory stimuli. The study investigates emotional learning through three phases (Pre-Conditioning, Conditioning, and Extinction) using voices with varying acoustic properties (high and low amplitude modulation) paired or unpaired with aversive white noise. This dataset provides multimodal measurements of physiological and behavioral responses during fear acquisition and extinction.

AI-generated description, may include mistakes
BEH EEG
Issues GitHub OpenNeuro ds007114

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) — 18.4 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 on007114
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on007114 on007114
    cd on007114 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on007114 on007114
    cd on007114 && 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/on007114/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/on007114), 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 on007114
    cd on007114 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on007114/ — 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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