nm000176 NEMAR-native dataset

BigP3BCI Study K — 9x8 adaptive/checkerboard, 2 sessions (5 healthy subjects)

This dataset is Study K of the bigP3BCI collection, a P300-based brain-computer interface speller dataset. It contains 16-channel EEG recorded from 5 healthy participants across 2 sessions, using a 9x8 character grid with adaptive and checkerboard stimulus paradigms. Target and non-target events are annotated with HED tags. The data are a BIDS-formatted derivative of the PhysioNet bigP3BCI release, prepared with MOABB.

EEG
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) — 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 nm000176
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000176 nm000176
cd nm000176 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000176 nm000176
cd nm000176 && 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/nm000176/v1.0.4/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/nm000176), 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 nm000176
cd nm000176 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000176/ — 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
    5
    Size
    790 MB
    Tasks
    p300

    License and terms

    License
    CC-BY-4.0
    Recommended citation
    Mainsah, B., Fleeting, C., Balmat, T., Sellers, E., & Collins, L. (2026). BigP3BCI Study K — 9x8 adaptive/checkerboard, 2 sessions (5 healthy subjects) (Version v1.0.4) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000176

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000176/latest/
    This version (v1.0.4)
    https://data.nemar.org/nm000176/v1.0.4/

    How to download

    The dataset
    nemar dataset download nm000176 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 nm000176 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000176 Clones git-annex pointers only; fetches no file content. Creates ./nm000176.
    A subset, step 2
    cd nm000176 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/nm000176/v1.0.4/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000176/v1.0.4/participants.tsv
    Dataset description
    https://data.nemar.org/nm000176/v1.0.4/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000176/v1.0.4/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000176