on005293
NEMAR copy of ds005293

95 By BP

This dataset comprises neuroimaging recordings from 95 participants who received individualized laser pain stimulation at varying intensities while providing subjective pain ratings. The study employed a within-subject design with four stimulus intensity levels (corresponding to numerical rating scale values of 2, 4, 6, and 8) applied to two body locations (left and right hand dorsum), yielding 80 total trials per participant. Stimulus intensities were calibrated individually based on pain thresholds: E1: 2.0 ± 0.2 J; E2: 2.7 ± 0.3 J; E3: 3.4 ± 0.3 J; E4: 4.1 ± 0.4 J. The dataset captures neural responses to calibrated nociceptive stimulation and associated pain perception ratings, providing a resource for investigating the neural correlates of pain processing across stimulus intensities.

EEG
Issues GitHub OpenNeuro ds005293

Download this dataset

dataset 300.3 GB exceeds 100.0 GB archive limit; use direct download. Use one of the streaming methods below — all resumable. Full download guide →

  1. NEMAR CLI recommended

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

    nemar dataset download on005293
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/on005293 on005293
cd on005293 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/on005293 on005293
cd on005293 && git annex get .
  4. 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/on005293/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/on005293), 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 on005293
cd on005293 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on005293/ — 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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