nm000377 NEMAR-native dataset

Human Responses to Visually Evoked Threat: intracranial EEG during virtual-reality heights, no-heights and shark stimuli (3 patients)

Intracranial EEG recordings from three patients with treatment-resistant epilepsy, collected at UCSF while they viewed immersive virtual-reality stimuli. The stimuli were a modified virtual-heights scene, a no-heights baseline in a virtual hospital room, and (in two patients) a 360° great white shark movie. Skin conductance and visual-scanning measures were recorded alongside, with electrodes covering regions such as the insula and orbitofrontal cortex. The data are the unprocessed iEEG part of a release studying human responses to visually evoked threat.

AI-generated description, may include mistakes
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) — 9.7 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 nm000377
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000377 nm000377
    cd nm000377 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000377 nm000377
    cd nm000377 && 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/nm000377/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/nm000377), 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 nm000377
    cd nm000377 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000377/ — 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
    3
    Size
    9.30 GB
    Tasks
    heights, noheights, sharks

    License and terms

    License
    CC0-1.0
    Recommended citation
    Balban, M. Y., Cafaro, E., Saue-Fletcher, L., Washington, M. J., Bijanzadeh, M., Lee, A. M., Chang, E., & Huberman, A. (2026). Human Responses to Visually Evoked Threat: intracranial EEG during virtual-reality heights, no-heights and shark stimuli (3 patients) (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000377

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000377/latest/

    How to download

    The dataset
    nemar dataset download nm000377 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 nm000377 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000377 Clones git-annex pointers only; fetches no file content. Creates ./nm000377.
    A subset, step 2
    cd nm000377 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/nm000377/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.