nm000230 NEMAR-native dataset

Lower-limb MI dataset for knee pain patients from Zuo et al. 2025

This dataset comprises lower-limb motor imagery EEG recordings from 30 knee pain patients across 5 sessions, with a 2-class paradigm (left vs. right leg imagery). Recorded at 500 Hz using 30 EEG channels with a standard 10-05 montage, the dataset contains 500 trials total (250 per class) designed for brain-computer interface development and rehabilitation applications. The study evaluates multiple classification approaches including CSP+LDA, FBCSP+SVM, EEGNet, and Riemannian geometry methods.

EEG

Download zip Issues GitHub

Compute on this dataset

Two routes today, with a third (in-browser one-click submission) landing soon.

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/nm000230), and submit.
nsgportal.org →
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 nm000230
cd nm000230 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000230/ — 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.nm000230

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Files

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