nm000209 NEMAR-native dataset
Motor imagery + spatial attention dataset from Forenzo & He 2023
This dataset contains 64-channel EEG recordings from 25 healthy human subjects performing a motor imagery brain-computer interface (BCI) task combined with overt spatial attention, across 5 sessions per subject. Participants imagined left- or right-hand movements while receiving continuous cursor feedback, enabling study of integrated motor imagery and spatial attention paradigms for BCI control. The dataset was converted to BIDS format using MOABB from source data originally collected at Carnegie Mellon University.
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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.