on005873
NEMAR copy of ds005873

SeizeIT2

SeizeIT2 is a multicenter, prospective dataset of wearable behind-the-ear EEG, ECG, EMG and movement recordings from 125 adult and pediatric patients with focal epilepsy. Patients were monitored in five European epilepsy monitoring units with the Sensor Dot wearable device alongside standard video-EEG. The dataset contains about 11,640 hours of wearable data with 886 recorded focal seizures, annotated in BIDS-score compatible format, and supports the development and validation of seizure detection algorithms.

EEG EMG
Issues GitHub OpenNeuro ds005873

Download this dataset

dataset 117.2 GB exceeds 100.0 GB archive limit; use direct download. Use one of the streaming methods below — all resumable. Full download guide →

  1. NEMAR CLI recommended

    Pulls the pinned version + annexed data and resumes cleanly. Install nemar-cli → 

    nemar dataset download on005873
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/on005873 on005873
cd on005873 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/on005873 on005873
cd on005873 && git annex get .
  4. 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/on005873/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/on005873), 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 on005873
cd on005873 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on005873/ — 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…

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

    What it is

    Modalities
    EEG, EMG
    Participants
    125
    Size
    117 GB
    Tasks
    szMonitoring
    HED version
    score_1.1.0

    License and terms

    License
    CC0
    Recommended citation
    Bhagubai, M., Chatzichristos, C., Swinnen, L., Macea, J., Zhang, J., Lagae, L., Jansen, K., Schulze-Bonhage, A., Sales, F., Mahler, B., Weber, Y., Paesschen, W. V., & Vos, M. D. (2026). SeizeIT2 (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on005873

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on005873/latest/
    This version (v1.0.0)
    https://data.nemar.org/on005873/v1.0.0/

    How to download

    The dataset
    nemar dataset download on005873 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 on005873 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on005873 Clones git-annex pointers only; fetches no file content. Creates ./on005873.
    A subset, step 2
    cd on005873 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/on005873/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/on005873/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/on005873/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/on005873/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/on005873