nm000276 NEMAR-native dataset

SWEC iEEG Dataset

This dataset contains long-term pre-surgical intracranial EEG (iEEG) recordings from 40 patients with pharmacoresistant epilepsy, collected at the Sleep-Wake-Epilepsy-Center (SWEC), University of Bern, in collaboration with ETH Zurich. It comprises approximately 5376 hours of continuous iEEG recorded via strip, grid, and depth electrodes, with 381 annotated electrographic seizures marked by a board-certified epileptologist. The dataset is fully anonymized, with channel and electrode location information withheld to protect patient identity, and is structured in BIDS format for long-term monitoring analysis.

AI-generated description, may include mistakes
Issues GitHub

Download this dataset

dataset 3031.3 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 nm000276
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000276 nm000276
    cd nm000276 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/nm000276 nm000276
    cd nm000276 && 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/nm000276/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/nm000276), 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 nm000276
    cd nm000276 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000276/ — 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
    40
    Size
    2.96 TB
    Tasks
    ltm

    License and terms

    License
    CDLA-Permissive-2.0
    Recommended citation
    Carzaniga, F., Hersche, M., Sebastian, A., Schindler, K., & Rahimi, A. (2026). SWEC iEEG Dataset (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000276

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000276/latest/

    How to download

    The dataset
    nemar dataset download nm000276 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 nm000276 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000276 Clones git-annex pointers only; fetches no file content. Creates ./nm000276.
    A subset, step 2
    cd nm000276 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/nm000276/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.