EEG Attention Dataset

This study’s EEG experiment was divided into five groups, each corresponding to a different auditory stimulation condition: classical music, alpha-wave music, singing bowl music, natural environmental sounds, and a no-music control group. Each group included three participants, for a total of fifteen participants. To ensure de-identification, participants are labeled only as P1–P15.

Each participant’s EEG data consists of three parts:

Meditation EEG: EEG recordings collected during deep meditation and resting state.

RSVP EEG with music background (pre-test): EEG recordings collected while participants performed the RSVP task under their assigned auditory condition.

RSVP EEG without music background (post-test): EEG recordings collected while participants performed the RSVP task without auditory stimulation.

All EEG data are stored in .csv files, with each file containing:

Time series

EEG signals from each electrode site, covering the theta–gamma frequency bands

This dataset structure supports subsequent EEG feature extraction, analysis of attentional performance, and comparative studies across conditions.

本研究的脑电图（EEG）实验分为五组，每组对应一种不同的听觉刺激条件：古典音乐、α波音乐、颂钵音乐、自然环境音效以及无音乐对照组。每组包含3名受试者，总计15名受试者。为确保身份匿名化，所有受试者仅以P1至P15进行编号标识。

每名受试者的脑电图数据包含三部分：
冥想状态脑电图：在深度冥想与静息状态下采集的脑电图记录。
带音乐背景的快速序列视觉呈现（RSVP）脑电图（预测试）：受试者在对应听觉刺激条件下完成RSVP任务时采集的脑电图记录。
无音乐背景的快速序列视觉呈现（RSVP）脑电图（后测试）：受试者在无听觉刺激条件下完成RSVP任务时采集的脑电图记录。

所有脑电图数据均以.csv格式文件存储，每份文件包含：
时间序列数据
各电极位点的脑电图信号，覆盖θ至γ频段。

该数据集的结构可支撑后续的脑电图特征提取、注意表现分析以及不同刺激条件间的对比研究。