EEG Attention Dataset

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Authors: Pei-Jung Lin, Meng-Chian Wu, Qiao-Yun Lau
Cited by: 0

Abstract

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.

Fields of Study & Subjects

EEG and Brain-Computer Interfaces Neural dynamics and brain function Neuroscience and Music Perception

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026
Document type
Dataset