nm000364 NEMAR-native dataset

Task-SEEG recordings from epilepsy patients performing a visual working memory task (Tian, Figshare 32189838)

Stereo-electroencephalography (SEEG) recordings from seven patients with drug-resistant epilepsy performing a visual working memory task. Depth electrodes were placed solely for clinical evaluation, and recordings were sampled at 2048 Hz, totaling about 6.2 hours across eight EDF recordings. This BIDS iEEG copy is de-identified and includes participant information such as seizure-onset zone and the contacts in the frontal eye field and hippocampus. It contains no events, behavioral files or electrode coordinates.

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. NEMAR CLI recommended

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

    nemar dataset download nm000364
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000364 nm000364
cd nm000364 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/nm000364 nm000364
cd nm000364 && 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/nm000364/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/nm000364), 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 nm000364
cd nm000364 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000364/ — 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
    7
    Size
    12.5 GB
    Tasks
    task, vwm

    License and terms

    License
    CC-BY-NC-4.0
    Note
    Non-commercial use only (CC-BY-NC-4.0).
    Recommended citation
    Tian, Z. (2026). Task-SEEG recordings from epilepsy patients performing a visual working memory task (Tian, Figshare 32189838) (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000364
    Reference 1
    https://doi.org/10.1016/j.yebeh.2026.111071
    Reference 2
    https://doi.org/10.1016/j.neuroimage.2026.121838

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000364/latest/
    This version (v1.0.0)
    https://data.nemar.org/nm000364/v1.0.0/

    How to download

    The dataset
    nemar dataset download nm000364 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 nm000364 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000364 Clones git-annex pointers only; fetches no file content. Creates ./nm000364.
    A subset, step 2
    cd nm000364 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/nm000364/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000364/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/nm000364/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000364/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000364