EEG: Probabilistic Selection and Depression

This dataset comprises EEG recordings from 121 college-age participants (122 collected, 1 excluded) performing a probabilistic selection task, stratified by depression symptomatology as measured by the Beck Depression Inventory. Collected between 2008-2010 in the lab of John J.B. Allen at the University of Arizona, the data were acquired to investigate neural correlates of decision-making and reward processing in relation to depressive symptoms. Some participants underwent clinical interviews to confirm depression status. NOTE: Data quality considerations include potential mislabeling of HEOG/VEOG channels in some subjects, and some files have had channels interpolated already with no raw data available for reversion. Subject 544 was excluded due to unstable BDI scores between pre-assessment and test session.

EEG

Issues GitHub OpenNeuro ds003474

Download this dataset

Pick a method. Large datasets skip the zip and use the streaming methods below — all resumable. Full download guide →

Download archive (.zip) — 16.0 GB
A single zip of the published version. Best for small/medium datasets.

Download zip
NEMAR CLI recommended
Pulls the pinned version + annexed data and resumes cleanly. Install nemar-cli →
```
nemar dataset download on003474
```

DataLad

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

datalad clone https://github.com/nemarDatasets/on003474 on003474
cd on003474 && datalad get .

git-annex

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

git clone https://github.com/nemarDatasets/on003474 on003474
cd on003474 && git annex get .

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/on003474/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.

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/on003474), and submit.
nsgportal.org →
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 on003474
cd on003474 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/on003474/ — 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.

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Files

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