on005207
NEMAR copy of ds005207

Surrey cEEGrid sleep data set

This dataset comprises overnight sleep EEG recordings from 20 healthy participants, collected in spring 2017 as part of a wearable sleep monitoring study at the Surrey Clinical Research Centre. Recordings include full polysomnography (PSG) and around-the-ear cEEGrid measurements, with most subjects having both modalities recorded on the same night. The dataset supports comparison between conventional PSG and wearable cEEGrid sleep staging approaches.

EEG
Issues GitHub OpenNeuro ds005207

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) — 41.5 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 on005207
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on005207 on005207
cd on005207 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on005207 on005207
cd on005207 && 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/on005207/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/on005207), 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 on005207
cd on005207 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on005207/ — 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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    Files

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    Signal viewer
    How to use the data (for agentic research) license, citation, download commands

    What it is

    Modalities
    EEG
    Participants
    20
    Size
    69.1 GB
    Tasks
    sleep

    License and terms

    License
    CC0
    Recommended citation
    Mikkelsen, K. B., Ebajemito, J. K., Bonmati-Carrion, M. A., Santhi, N., Revell, V. L., Atzori, G., Birch, L., Monica, C. D., Debener, S., Dijk, D., Sterr, A., & Vos, M. D. (2026). Surrey cEEGrid sleep data set (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on005207

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on005207/latest/
    This version (v1.0.0)
    https://data.nemar.org/on005207/v1.0.0/

    How to download

    The dataset
    nemar dataset download on005207 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 on005207 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on005207 Clones git-annex pointers only; fetches no file content. Creates ./on005207.
    A subset, step 2
    cd on005207 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/on005207/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/on005207/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/on005207/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/on005207/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/on005207