on003800
NEMAR copy of ds003800

Auditory Gamma Entrainment

EEG recordings from elderly participants with dementia during auditory gamma entrainment. The stimulus was a 5 kHz carrier tone amplitude-modulated with a 40 Hz pulse train, presented in alternating stimulation and silence blocks. The dataset also includes a one-minute eyes-open resting-state recording. It is intended for investigating how 40 Hz auditory stimulation affects brain oscillations in Alzheimer's disease and related dementia.

EEG
Issues GitHub OpenNeuro ds003800

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) — 0.2 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 on003800
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on003800 on003800
cd on003800 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on003800 on003800
cd on003800 && 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/on003800/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/on003800), 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 on003800
cd on003800 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on003800/ — 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
    EEG
    Participants
    13
    Size
    364 MB
    Tasks
    AuditoryGammaEntrainment, Rest

    License and terms

    License
    CC0
    Recommended citation
    Lahijanian, M., Sedghizadeh, M. J., Aghajan, H., & Vahabi, Z. (2026). Auditory Gamma Entrainment (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on003800

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on003800/latest/
    This version (v1.0.0)
    https://data.nemar.org/on003800/v1.0.0/

    How to download

    The dataset
    nemar dataset download on003800 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 on003800 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on003800 Clones git-annex pointers only; fetches no file content. Creates ./on003800.
    A subset, step 2
    cd on003800 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/on003800/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/on003800/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/on003800/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/on003800/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/on003800