on007169
NEMAR copy of ds007169

Multimodal Cognitive Workload n-back Task, 4 Difficulties

This multimodal dataset comprises synchronized EEG, ECG, and pupillometry recordings from 18 participants performing an n-back working memory task with four difficulty levels (1-back through 4-back). The study employed a combined mobile EEG+ECG system and Pupil Labs eye tracker synchronized via Lab Streaming Layer, capturing cognitive workload modulation across task difficulty. Raw XDF recordings were converted to BIDS format with EEG in BrainVision format, pupil data exported as TSV files, and task events aligned to EEG start time. The dataset includes 19-channel EEG at 250 Hz, 3-lead ECG, and asynchronous pupil tracking, with detailed task event annotations and participant exclusion metadata.

EEG
Issues GitHub OpenNeuro ds007169

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) — 1.2 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 on007169
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on007169 on007169
cd on007169 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on007169 on007169
cd on007169 && 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/on007169/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/on007169), 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 on007169
cd on007169 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on007169/ — 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

    Loading demographics…

    Files

    Loading file index…