nm000274 NEMAR-native dataset
BEETL Competition 2021 Motor Imagery Dataset B — transfer learning benchmark
Beetl2021-B is a preprocessed EEG dataset from the NeurIPS 2021 BEETL competition designed to benchmark transfer learning and domain adaptation algorithms for motor imagery decoding. The dataset comprises 32-channel EEG recordings from 2 healthy subjects performing 4-class motor imagery tasks (left hand, right hand, feet, and rest) sampled at 200 Hz, with 1590 total trials organized into 4-second epochs. This resource addresses the critical challenge of cross-subject and cross-dataset generalization in brain-computer interface applications.
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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.