nm000219 NEMAR-native dataset
BNCI 2020-002 Attention Shift (Covert Spatial Attention) dataset
A gaze-independent brain-computer interface dataset based on covert spatial attention shifts for binary communication. This EEG dataset comprises recordings from 18 healthy participants performing a visual attention task with N2pc event-related potential detection. The paradigm uses colored visual stimuli (green crosses for 'yes', red crosses for 'no') presented while maintaining central gaze fixation, achieving 88.5% mean accuracy with canonical correlation analysis classification.
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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.