摘要
This dataset comprises multi-channel EEG recordings from 27 healthy adults performing a sustained-attention driving task in a virtual-reality simulator across 62 sessions. The task involves event-related lane-departure paradigm where participants maintain vehicle position on a simulated highway, with recordings capturing 32-channel EEG (30 scalp + 2 mastoid references) sampled at 500 Hz alongside vehicle position data. The dataset includes approximately 82 hours of raw, unfiltered EEG data with 27,192 lane-departure trials and associated behavioral markers, providing a resource for studying attention, fatigue, and drowsiness during sustained driving tasks.