nm000413 NEMAR-native dataset

DRE-LZSH: SEEG benchmark dataset for drug-resistant epilepsy (ictal and interictal segments, 29 patients)

A stereo-EEG (SEEG) benchmark dataset from 29 patients with drug-resistant epilepsy, comprising ictal (seizure) and interictal segments recorded at 2000 Hz. It includes clinical information (sex, age, EZ localization, therapy, Engel outcome) and channel-level epileptogenic-zone annotations. The BIDS release is a lossless re-packaging of the authors' public Zenodo deposit, with the authors' HFO and spectral-fit result tables and code included as derivatives. Note: the P014 channel-level EZ and deleted-channel annotations are identical to those of P007 and are probably a copy error in the original release; they should not be used without confirmation from the authors.

IEEG
Issues GitHub

Download this dataset

Pick a method. Large datasets skip the zip; resume support depends on each file's storage type. Full download guide →

  1. Download archive (.zip) — 42.5 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 nm000413
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000413 nm000413
cd nm000413 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000413 nm000413
cd nm000413 && git annex get .
  5. 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/nm000413/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/nm000413), 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 nm000413
cd nm000413 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000413/ — 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
    29
    Size
    64.2 GB
    Tasks
    ictal, interictal

    License and terms

    License
    CC-BY-4.0
    Recommended citation
    Yalin, W. (2026). DRE-LZSH: SEEG benchmark dataset for drug-resistant epilepsy (ictal and interictal segments, 29 patients) (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000413
    Reference
    https://doi.org/10.1109/TNSRE.2026.3702844

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000413/latest/
    This version (v1.0.0)
    https://data.nemar.org/nm000413/v1.0.0/

    How to download

    The dataset
    nemar dataset download nm000413 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 nm000413 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000413 Clones git-annex pointers only; fetches no file content. Creates ./nm000413.
    A subset, step 2
    cd nm000413 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/nm000413/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000413/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/nm000413/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000413/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000413