EEG: Depression rest

This dataset comprises resting-state EEG recordings from 122 college-age participants with varying levels of depressive symptoms as measured by the Beck Depression Inventory. Participants completed two 6-minute resting sessions with eyes-open and eyes-closed conditions, with the first session occurring immediately after EEG setup and the second following approximately one hour of task performance. The data were collected between 2008-2010 in the John J.B. Allen lab at the University of Arizona and include clinical interview information for a subset of participants. NOTE: Data quality considerations include potential HEOG/VEOG mislabeling for some subjects, some channels with prior interpolation, and limited review of the second rest run. Subject 516 is missing rest2 data, and subject 544 was excluded from analyses due to unstable BDI scores between assessment timepoints.

EEG

Issues GitHub OpenNeuro ds003478

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) — 10.2 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 on003478
```

DataLad

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

datalad clone https://github.com/nemarDatasets/on003478 on003478
cd on003478 && datalad get .

git-annex

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

git clone https://github.com/nemarDatasets/on003478 on003478
cd on003478 && 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/on003478/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/on003478), 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 on003478
cd on003478 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/on003478/ — 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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How to use the data (for agentic research) license, citation, download commands

What it is

Modalities: EEG
Participants: 122
Size: 10.6 GB
Tasks: Rest

License and terms

License: CC0
Recommended citation: [email protected], J. F. C. (2026). EEG: Depression rest (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on003478

Where the bytes are

Latest version (always current): https://data.nemar.org/on003478/latest/
This version (v1.0.0): https://data.nemar.org/on003478/v1.0.0/

How to download

The dataset: nemar dataset download on003478 Clones and fetches in one step. Content under stimuli/ and derivatives/ is skipped by default because those trees can be large; add --stimuli --derivatives for the whole thing.
A subset, one step: nemar dataset download on003478 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
A subset, step 1: nemar dataset clone on003478 Clones git-annex pointers only; fetches no file content. Creates ./on003478.
A subset, step 2: cd on003478 The get command below reads the clone's annex, so it only works from inside the clone.
A subset, step 3: nemar dataset get <files> Pulls the files you actually need. Skips stimuli/ and derivatives/ unless the path you ask for is under one of them.
One small file: https://data.nemar.org/on003478/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

Assess fit without downloading

Participants table: https://data.nemar.org/on003478/v1.0.0/participants.tsv
Dataset description: https://data.nemar.org/on003478/v1.0.0/dataset_description.json
Directory listing: https://data.nemar.org/on003478/v1.0.0/?format=json
Catalog record: https://api.nemar.org/datasets/on003478