A dataset of pilots' cognitive collapse

The dataset encompasses the recordings of 10 participants over 3 separate sessions in the simulated flight experiment paradigm. The experiment aims to elicit the pilots' cognitive collapse state and to early warn of the tipping points, for details you can refer to the paper An Early Warning Approach for Pilots’ Cognitive Tipping Points Based Multi-modal Signals. The dataset includes EEG, eye movement, task performance data, and experimenter's recording. It has a total of 30 trials and is approximately 4.7G in size.EEG signal. EEG data was recorded using the 32-channel NeuSen W wireless digital EEG recording system at 1000 Hz, placed according to the international 10-20 system. It can be read and manipulated using libraries such as EEGLAB or MNE.