An ERP Dataset for Multi-information Identity Authentication

This dataset contains EEG recordings collected from 32 healthy adult participants during a multi-information identity authentication experiment. The participants included 16 males and 16 females, aged between 19 and 25 years. Each participant completed three RSVP-based identity recognition tasks: face recognition, name recognition, and verification-image recognition. Each participant completed two independent sessions, enabling cross-session analysis and evaluation. EEG signals were recorded using a portable TiTan EEG system at a sampling rate of 1000 Hz from eight scalp channels: Fpz, F3, F4, FCz, POz, O1, Oz, and O2. The dataset includes continuous EEG recordings, synchronized event markers, channel information, and task-level metadata. The data are organized according to the Brain Imaging Data Structure (BIDS) standard. Each participant folder contains two session folders, and each session includes EEG data for the three identity-related tasks. The EEG recordings are provided in BrainVision format, together with events.tsv, channels.tsv, and JSON sidecar files. This dataset can support research on event-related potential (ERP) analysis, RSVP-based target detection, EEG-based identity authentication, cross-session evaluation, and the development of machine learning or deep learning models for brain-computer interface applications.