nm000130 NEMAR-native dataset

Liu2022 – eldBETA SSVEP benchmark dataset for elderly population

The eldBETA dataset comprises 64-channel EEG recordings from 100 healthy elderly participants (aged 51-81 years) performing a 9-target steady-state visual evoked potential (SSVEP) brain-computer interface task. Stimuli employed joint frequency and phase modulation across frequencies ranging from 8.0 to 12.0 Hz, with each subject completing 7 sessions of 9 trials recorded at 1000 Hz. This benchmark dataset is designed to advance BCI research in aging populations and facilitate the development of age-appropriate neurotechnological applications.

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/nm000130), 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 nm000130
cd nm000130 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000130/ — 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.nm000130

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Files

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