nm000376 NEMAR-native dataset

Intracranial EEG from 9 adults during a memory-guided actions experiment (preprocessed epochs, Moraresku et al.)

Preprocessed stereo-EEG epochs from 9 patients with drug-resistant epilepsy at the Motol Epilepsy Center in Prague, recorded during a delayed memory-guided action task. Each patient has 170 bipolar-referenced epochs spanning -2 to 7.9 s around encoding onset. Recordings cover the inferior parietal lobule, ventral temporal cortex and hippocampus. The dataset is a BIDS derivative that re-packages the authors' Zenodo release without further processing.

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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) — 13.5 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 nm000376
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000376 nm000376
    cd nm000376 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000376 nm000376
    cd nm000376 && 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/nm000376/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/nm000376), 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 nm000376
    cd nm000376 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000376/ — 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
    9
    Size
    12.9 GB
    Tasks
    memact

    License and terms

    License
    CC-BY-4.0
    Recommended citation
    Moraresku, S., Hammer, J., Dimakopoulos, V., Kajsova, M., Janca, R., Jezdik, P., Kalina, A., Marusic, P., & Vlcek, K. (2026). Intracranial EEG from 9 adults during a memory-guided actions experiment (preprocessed epochs, Moraresku et al.) (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000376

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000376/latest/

    How to download

    The dataset
    nemar dataset download nm000376 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 nm000376 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000376 Clones git-annex pointers only; fetches no file content. Creates ./nm000376.
    A subset, step 2
    cd nm000376 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/nm000376/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.