nm000456 NEMAR-native dataset

Human-AI collaboration for co-managing epilepsy in real time: scalp EEG and SEEG from 13 epilepsy monitoring unit patients

Continuous video-EEG recordings from 13 patients with epilepsy in the Penn Level 4 epilepsy monitoring unit, comprising scalp EEG (11 patients) and stereo-EEG (2 patients). The recordings were collected while a prototype system linked the patient's neural data to a conversational AI agent on a smartphone, allowing seizure detection to be retrained with patient and clinician feedback. The dataset provides one EDF per recording day (69 recordings), event annotations (seizures, patient push-button events, sleep, medications, platform annotations) and derived model outputs.

EEG IEEG
Issues GitHub

Download this dataset

dataset 514.4 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 nm000456
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000456 nm000456
cd nm000456 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/nm000456 nm000456
cd nm000456 && 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/nm000456/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/nm000456), 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 nm000456
cd nm000456 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000456/ — 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
    EEG, IEEG
    Participants
    13
    Size
    514 GB
    Tasks
    monitoring

    License and terms

    License
    CC-BY-NC-SA-4.0
    Note
    Non-commercial use only (CC-BY-NC-SA-4.0).
    Recommended citation
    Shi, H., Goldblum, Z., Ojemann, W., Aguila, C., Nix, K., Walsh, K., Lavelle, S., Davis, K., Sinha, N., Conrad, E., & Litt, B. (2026). Human-AI collaboration for co-managing epilepsy in real time: scalp EEG and SEEG from 13 epilepsy monitoring unit patients (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000456
    Reference
    https://doi.org/10.26275/zm8u-bo15

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000456/latest/
    This version (v1.0.0)
    https://data.nemar.org/nm000456/v1.0.0/

    How to download

    The dataset
    nemar dataset download nm000456 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 nm000456 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000456 Clones git-annex pointers only; fetches no file content. Creates ./nm000456.
    A subset, step 2
    cd nm000456 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/nm000456/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000456/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/nm000456/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000456/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000456