nm000175 NEMAR-native dataset

fNIRS Finger Tapping

An example functional near-infrared spectroscopy (fNIRS) dataset from five participants performing a finger tapping task, organized according to the draft fNIRS BIDS specification. Participants tapped their left or right thumb to fingers, or rested as a control, in response to auditory cues, with sensors placed over the motor cortex and short channels attached. The dataset demonstrates conversion of NIRx recordings to BIDS using MNE-BIDS.

NIRS
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) — 0.0 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 nm000175
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000175 nm000175
cd nm000175 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000175 nm000175
cd nm000175 && 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/nm000175/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/nm000175), 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 nm000175
cd nm000175 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000175/ — 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

    Loading demographics…

    Files

    Loading file index…

    Signal viewer
    How to use the data (for agentic research) license, citation, download commands

    What it is

    Modalities
    NIRS
    Participants
    5
    Size
    47.5 MB
    Tasks
    tapping

    License and terms

    License
    CC0
    Recommended citation
    Luke, R., Larson, E., Gramfort, A., & University, M. (2026). fNIRS Finger Tapping (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000175

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000175/latest/
    This version (v1.0.0)
    https://data.nemar.org/nm000175/v1.0.0/

    How to download

    The dataset
    nemar dataset download nm000175 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 nm000175 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000175 Clones git-annex pointers only; fetches no file content. Creates ./nm000175.
    A subset, step 2
    cd nm000175 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/nm000175/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000175/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/nm000175/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000175/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000175