nm000414 NEMAR-native dataset

Intracranial EEG Epilepsy - Studies 3, 5 and 6 (Mayo Clinic; IEEG.org)

Long-term clinical intracranial EEG recordings (subdural grid/strip and depth electrodes) from three patients with drug-resistant epilepsy, recorded at Mayo Clinic, Rochester, and originally shared via IEEG.org and Pennsieve Discover (Studies 3, 5 and 6). The recordings contain expert seizure annotations, with 41 runs totalling roughly 397 hours sampled at 500 Hz. Data were losslessly converted from MEF 2.0 to BrainVision format in BIDS, with participant demographics and clinical outcome information.

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Issues GitHub

Download this dataset

dataset 326.8 GB exceeds 100.0 GB archive limit; use direct download. Choose a download method below; resume support depends on each file's storage type. Full download guide →

  1. NEMAR CLI recommended

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

    nemar dataset download nm000414
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000414 nm000414
    cd nm000414 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/nm000414 nm000414
    cd nm000414 && git annex get .
  4. Direct files (wget / curl / rclone)

    Every file is listed by its stable manifest URL. Single-range requests and resume are currently supported for annex-backed entries; git-tracked files are served as full bodies. Real chunk-only byte delivery still awaits isolated, non-synthetic acceptance. Needs curl, jq, wget (or rclone/aria2c). Docs →

    curl -s https://data.nemar.org/nm000414/v1.0.0/manifest.json | jq -r '.[].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/nm000414), 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 nm000414
    cd nm000414 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000414/ — the manifest carries stable data-plane file URLs. Single-range requests are supported for annex-backed entries; git-tracked files are served as full bodies. Real chunk-only byte delivery remains under isolated acceptance.

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
    3
    Size
    327 GB
    Tasks
    clinical

    License and terms

    License
    CC0-1.0
    Recommended citation
    Johnson, J., Worrell, G., & Litt, B. (2026). Intracranial EEG Epilepsy - Studies 3, 5 and 6 (Mayo Clinic; IEEG.org) (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000414

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000414/latest/

    How to download

    The dataset
    nemar dataset download nm000414 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 nm000414 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000414 Clones git-annex pointers only; fetches no file content. Creates ./nm000414.
    A subset, step 2
    cd nm000414 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/nm000414/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.