EEG Attention Dataset
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