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.本数据集收录了32名健康成年受试者在多信息身份认证实验中采集的脑电（Electroencephalogram, EEG）信号。受试者涵盖16名男性与16名女性，年龄区间为19至25岁。每名受试者完成三项基于快速序列视觉呈现（Rapid Serial Visual Presentation, RSVP）的身份识别任务：人脸识别、姓名识别与验证图像识别。每名受试者完成两次独立实验会话，可支持跨会话分析与评估研究。脑电信号采用便携式TiTan脑电采集系统进行记录，采样率为1000 Hz，采集通道覆盖8个头皮电极：Fpz、F3、F4、FCz、POz、O1、Oz及O2。本数据集包含连续脑电信号、同步事件标记、电极通道信息以及任务级元数据。数据集遵循脑成像数据结构（Brain Imaging Data Structure, BIDS）标准进行组织。每个受试者文件夹包含两个会话文件夹，每个会话内涵盖三项身份相关任务的脑电数据。脑电信号以BrainVision格式存储，同时配套events.tsv、channels.tsv及JSON附属文件。本数据集可支持事件相关电位（Event-Related Potential, ERP）分析、基于RSVP的目标检测、基于脑电的身份认证、跨会话评估，以及面向脑机接口（Brain-Computer Interface, BCI）应用的机器学习或深度学习模型开发等相关研究。