nm000170 NEMAR-native dataset
BNCI 2025-002 Continuous 2D Trajectory Decoding dataset
This dataset comprises continuous 2D trajectory decoding from attempted arm movements recorded via 60-channel EEG from 10 participants (9 able-bodied, 1 with spinal cord injury) across 3 sessions. Participants performed motor imagery tasks including target-tracking (snakerun) and self-paced shape tracing (freerun) with visual feedback. The preprocessed data, sampled at 20 Hz after extensive artifact removal and filtering, is designed for regression-based continuous decoding research and investigation of learning effects across sessions.
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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.