nm000353 NEMAR-native dataset

Bonn intracranial EEG segments, sets C, D and E (Andrzejak et al. 2001)

This dataset contains 300 single-channel intracranial EEG segments (23.6 s each, 173.61 Hz) from five epilepsy patients, corresponding to sets C, D and E of the Bonn EEG dataset of Andrzejak et al. (2001). Sets C and D are seizure-free interictal recordings from hippocampal formations (opposite hemisphere and epileptogenic zone, respectively), and set E contains ictal activity. The data are a lossless BIDS re-packaging of the published text files, pooled under a single pseudo-subject because segment-to-patient mapping is unavailable.

IEEG
Issues GitHub

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) — 0.0 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 nm000353
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000353 nm000353
cd nm000353 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000353 nm000353
cd nm000353 && 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/nm000353/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/nm000353), 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 nm000353
cd nm000353 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000353/ — 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
    IEEG
    Participants
    1
    Size
    4.57 MB
    Tasks
    ictal, interictal

    License and terms

    License
    CC-BY-NC-4.0
    Note
    Non-commercial use only (CC-BY-NC-4.0).
    Recommended citation
    Andrzejak, R. G., Lehnertz, K., Mormann, F., Rieke, C., David, P., & Elger, C. E. (2026). Bonn intracranial EEG segments, sets C, D and E (Andrzejak et al. 2001) (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000353

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000353/latest/
    This version (v1.0.0)
    https://data.nemar.org/nm000353/v1.0.0/

    How to download

    The dataset
    nemar dataset download nm000353 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 nm000353 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000353 Clones git-annex pointers only; fetches no file content. Creates ./nm000353.
    A subset, step 2
    cd nm000353 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/nm000353/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000353/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/nm000353/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000353/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000353