nm000210 NEMAR-native dataset
BCIAUT-P300 dataset for autism from Simoes et al 2020
The BCIAUT-P300 dataset comprises EEG recordings from 15 individuals with autism spectrum disorder (ASD) participating in a P300-based brain-computer interface (BCI) study focused on joint-attention training in a virtual environment. Data were collected across 7 sessions using 8 EEG channels sampled at 250 Hz, with visual stimuli presented as flashing objects. This multi-session, multi-subject benchmark dataset enables evaluation of P300 detection algorithms and BCI performance in the clinical ASD population.
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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.