"A Multimodal EEG Dataset of Generic and Personalized Cognitive Tasks"

"This dataset presents a comprehensive collection of multi-channel EEG recordings designed to facilitate research in Brain-Computer Interfaces (BCI), biometric authentication, and cognitive neuroscience. The data encompasses four distinct experimental paradigms: Resting State (RS), an animal-based Stroop Test for Event-Related Potentials (ERP), Mental Arithmetic (MA), and Motor Imagery (MI). A significant contribution of this dataset is the inclusion of both generic stimuli and participant-selected \"personalized\" tasks within the MA and MI blocks, providing a unique basis for studying individual neural signatures and template entropy. The protocol includes structured visual and auditory cues across 32 participants, capturing a diverse range of cognitive states\u2014from baseline physiological activity and inhibitory control to complex problem-solving and motor intent. This open-access resource is optimized for benchmarking deep learning architectures, developing robust biometric systems, and investigating the neural correlates of personalized mental triggers."