on004774
NEMAR copy of ds004774

Automatic Evoked Response Detection (ER-Detect) dataset

This dataset comprises intracranial EEG recordings collected to support the development and validation of automatic evoked response detection (ER-Detect) methods. Data were gathered from patients undergoing electrical stimulation mapping at Mayo Clinic and University Medical Center Utrecht, aiming to characterize cortico-cortical evoked potentials for clinical and research applications in epilepsy and brain connectivity studies.

IEEG
Issues GitHub OpenNeuro ds004774

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) — 20.2 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 on004774
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on004774 on004774
cd on004774 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on004774 on004774
cd on004774 && 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/on004774/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/on004774), 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 on004774
cd on004774 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on004774/ — 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
    14
    Size
    30.2 GB
    Tasks
    SPESclin, ccep

    License and terms

    License
    CC0
    Recommended citation
    Boom, M. V. D., Gregg, N., Valencia, G., Lundstrom, B., Miller, K., Blooijs, D. V., Huiskamp, G., Leijten, F., Worrell, G., & Hermes, D. (2026). Automatic Evoked Response Detection (ER-Detect) dataset (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on004774

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on004774/latest/
    This version (v1.0.0)
    https://data.nemar.org/on004774/v1.0.0/

    How to download

    The dataset
    nemar dataset download on004774 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 on004774 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on004774 Clones git-annex pointers only; fetches no file content. Creates ./on004774.
    A subset, step 2
    cd on004774 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/on004774/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/on004774/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/on004774/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/on004774/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/on004774