nm000140 NEMAR-native dataset
BNCI 2015-001 Motor Imagery dataset
A motor imagery EEG dataset comprising 12 healthy, right-handed naive subjects performing two-class imagery tasks (right hand palmar grip versus bilateral feet plantar extension) across two sessions. The dataset includes 13-channel EEG recordings at 512 Hz with preprocessed data (bandpass filtered 0.5-100 Hz, notch filtered at 50 Hz) and achieves 80% classification accuracy using LDA with common spatial patterns and logarithmic bandpower features, designed for brain-computer interface research and benchmarking.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.