nm000131 NEMAR-native dataset

Wang2021 – Combined SSVEP dataset with single stimulus location for two inputs

A derivative SSVEP dataset comprising EEG recordings from 8 healthy subjects performing a combined brain-computer interface task with overlapping visual stimuli at a single location. Participants attended to one of four arrow directions (up, down, left, right), each flickering at distinct frequencies (14.17, 12.14, 9.44, 7.73 Hz) derived from an 85 Hz CRT refresh rate. Data were acquired at 1000 Hz using a 32-channel ANT Neuro system across two experimental schemes examining moving dot-formed arrows and space/object-based attention.

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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) — 4.8 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 nm000131
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000131 nm000131
    cd nm000131 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000131 nm000131
    cd nm000131 && 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/nm000131/v1.0.2/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/nm000131), 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 nm000131
    cd nm000131 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000131/ — 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
    8
    Size
    5.30 GB
    Tasks
    ssvep

    License and terms

    License
    CC BY 4.0
    Recommended citation
    Wang, L., Zhang, Z., Han, D., Zhang, Z., Liu, Z., & Liu, W. (2026). Wang2021 – Combined SSVEP dataset with single stimulus location for two inputs (Version v1.0.2) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000131

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000131/latest/

    How to download

    The dataset
    nemar dataset download nm000131 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 nm000131 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000131 Clones git-annex pointers only; fetches no file content. Creates ./nm000131.
    A subset, step 2
    cd nm000131 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/nm000131/v1.0.2/participants.tsv A direct HTTPS fetch works for any single file.