nm000118 NEMAR-native dataset

Nakanishi2015 – SSVEP Nakanishi 2015 dataset

A 12-class steady-state visual evoked potential (SSVEP) derivative dataset acquired from 9 healthy subjects using 8-channel EEG recorded at 256 Hz with joint frequency-phase modulation. This preprocessed dataset was derived from the original Nakanishi et al. 2015 study and contains bandpass-filtered (6-80 Hz) and downsampled data with a 135-ms latency delay applied to account for visual system delay. The dataset was used to benchmark canonical correlation analysis (CCA)-based methods for SSVEP detection in brain-computer interface applications, demonstrating that individual calibration data significantly improves classification performance compared to standard CCA approaches.

EEG
Download zip Issues GitHub

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/nm000118), 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 nm000118
cd nm000118 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000118/ — 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.
DOI 10.82901/nemar.nm000118

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Files

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