Face processing MEEG dataset with HED annotation

This dataset comprises simultaneous MEG and EEG recordings from 18 participants performing a face processing task with perceptual symmetry judgments on famous, unfamiliar, and scrambled faces across two sessions. The data includes structural MRI scans to support source localization and has been annotated with Hierarchical Event Descriptors (HED v8.0.0) to enhance machine-readability and FAIR compliance. The dataset represents a curated and repackaged version of the original multi-modal ds000117 study, with preprocessed EEG data converted to EEGLAB format.本数据集包含18名参与者的同步脑磁图（Magnetoencephalography, MEG）与脑电图（Electroencephalography, EEG）记录数据，参与者需在两次实验会话中完成面孔加工任务，对著名面孔、陌生面孔及杂乱化面孔开展知觉对称性判断。该数据集包含用于辅助源定位的结构磁共振成像（Magnetic Resonance Imaging, MRI）扫描数据，并已采用层级事件描述符（Hierarchical Event Descriptors, HED v8.0.0）进行标注，以提升数据的机器可读性与FAIR合规性。本数据集是原始多模态ds000117研究经甄选整理并重新封装的版本，其中预处理后的脑电图数据已转换为EEGLAB格式。