Cognitive overload and rest dataset. Simultaneous EEG + PPG + ECG + eye-tracking

This dataset contains raw 64-channel EEG recorded simultaneously with electrocardiography, photoplethysmography, eye-tracking/pupillometry, and behavioral data from 124 healthy young adults. Recordings were made during a resting-state session (alternating eyes-closed and eyes-open blocks followed by passive cartoon viewing) and an adaptive verbal working memory digit-span task with serial recall. The dataset supports research on cognitive load, working memory, and psychophysiological correlates of mental effort.

BEH EEG Zarr

Issues GitHub OpenNeuro ds008302

Download this dataset

dataset 202.0 GB exceeds 100.0 GB archive limit; use direct download. Choose a download method below; resume support depends on each file's storage type. Full download guide →

NEMAR CLI recommended
Pulls the pinned version + annexed data and resumes cleanly. Install nemar-cli →
```
nemar dataset download on008302
```

DataLad

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

datalad clone https://github.com/nemarDatasets/on008302 on008302
cd on008302 && datalad get .

git-annex

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

git clone https://github.com/nemarDatasets/on008302 on008302
cd on008302 && git annex get .

Direct files (wget / curl / rclone)
Every file is listed by its stable manifest URL. Single-range requests and resume are currently supported for annex-backed entries; git-tracked files are served as full bodies. Real chunk-only byte delivery still awaits isolated, non-synthetic acceptance. Needs curl, jq, wget (or rclone/aria2c). Docs →
```
curl -s https://data.nemar.org/on008302/v1.0.0/manifest.json | jq -r '.[].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/on008302), 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 on008302
cd on008302 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/on008302/ — the manifest carries stable data-plane file URLs. Single-range requests are supported for annex-backed entries; git-tracked files are served as full bodies. Real chunk-only byte delivery remains under isolated acceptance.

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, Zarr access

What it is

Modalities: BEH, EEG
Participants: 124
Size: 202 GB
Tasks: memory, rest, video
HED version: 8.1.0

License and terms

License: CC0
Recommended citation: Pavlov, Y. G. (2026). Cognitive overload and rest dataset. Simultaneous EEG + PPG + ECG + eye-tracking (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on008302

Where the bytes are

Latest version (always current): https://data.nemar.org/on008302/latest/
This version (v1.0.0): https://data.nemar.org/on008302/v1.0.0/

How to download

The dataset: nemar dataset download on008302 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 on008302 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
A subset, step 1: nemar dataset clone on008302 Clones git-annex pointers only; fetches no file content. Creates ./on008302.
A subset, step 2: cd on008302 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/on008302/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

Assess fit without downloading

Participants table: https://data.nemar.org/on008302/v1.0.0/participants.tsv
Dataset description: https://data.nemar.org/on008302/v1.0.0/dataset_description.json
Directory listing: https://data.nemar.org/on008302/v1.0.0/?format=json
Catalog record: https://api.nemar.org/datasets/on008302

Working with the Zarr copy

1. Start at the index: https://zarr.nemar.org/on008302/zarr/index.json The mandatory entry point. Never hardcode a bucket path.
2. Pick a store entry: stores[].zarr, stores[].groups[].name These two fields exist in every index format version, so a recipe that keys on them works against the whole catalog while the back conversion is still in flight.
3. Build the store URI: s3://nemar/on008302/zarr/{store.zarr} Derivable from the store entry alone. An index at format_version 3 or later also publishes contract_base, data_base and s3_uri; use them when they are there, never require them.
4. Open the store anonymously: zarr.open_group(store=..., mode="r", zarr_format=3) Anonymous FsspecStore.from_url in region us-east-2, no credentials. zarr_format=3 is required: without it zarr-python probes for Zarr v2 sidecars, and because anonymous ListBucket is denied, S3 answers a missing key with 403 rather than 404 and the open raises.
5. Read the level-0 array: root[store.groups[0].name]["0"] Level 0 is the full-rate signal. Never read a view/ array for inference; those exist for display.
6. Dequantize the samples: physical = digital * scale + offset scale and offset are attributes of the level-0 array, one entry per channel; the unit is on the group's channels attribute.
7. Slice, don't download: signal[0:4, 0:500] Stream a window of channels and samples; download only when you will touch most of the array.
8. Know the HTTP contract: index.json Only index.json is always proxied and edge-cached. A plain GET for a store object, manifest.json or events.parquet 302s to the public S3 object for non-browser clients, so follow redirects, and HEAD is never redirected.
9. Read the attribution before reuse: root.attrs["nemar"] The store carries its own dataset id, DOI, license, citation and source commit.
10. Filter for pipelines: has_zarr=1 This is the converted filter. has_zarr_verified is the stricter one, and its result set can be empty until the daily fidelity sweep reaches a dataset; verification is reported, never a precondition for serving (nemar-cli ADR 0005).