Poetry Assessment EEG Dataset 1
…research on aesthetic and creative cognition. This experiment involved 64-channel EEG…
- Participants
- 47
- Channels
- 64 (10-10)
- Size
- 45.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
91 results for "music cognition" · page 3 of 10 · ranked by relevance
…research on aesthetic and creative cognition. This experiment involved 64-channel EEG…
…music box. - **S4** – tone onsets from the right participant’s e-music…
This dataset contains EEG recordings from elderly patients with dementia undergoing 40Hz auditory gamma-band entrainment sessions. The study investigates whether auditory stimulation modulated at 40Hz can entrain brain oscillations and enhance functional connectivity, particularly within the default mode network, as a potential intervention for Alzheimer's disease symptoms. Both short and long entrainment sessions were conducted to accommodate participant tolerance, with EEG data collected using a 19-channel 10/20 system setup.
This dataset contains EEG recordings and hedonic (liking) ratings collected from participants exposed to sonic-seasoning soundscapes (jungle and deconstruct), alongside eyes-open and eyes-closed resting calibration baselines. Data were recorded with EPOC X consumer-grade EEG hardware and include behavioral survey responses and stimulus audio files. The dataset supports research on crossmodal sensory perception and the influence of auditory soundscapes on hedonic evaluation.
The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
This dataset comprises electroencephalography (EEG) recordings from 13 participants performing semantic imagination and perception tasks across visual and auditory modalities. Participants were presented with stimuli from three semantically dissimilar categories (guitar, flower, penguin) in pictorial, orthographic, and auditory formats. The dataset includes raw, preprocessed, and epoched EEG data acquired using a 124-channel ANT-Neuro system, providing a resource for investigating neural correlates of semantic processing and cross-modal perception.
The BCIT Auditory Cueing dataset comprises EEG, eye-tracking, and vehicle performance data collected during a prolonged simulated driving task designed to assess driver fatigue and cognitive state. Subjects performed two 45-minute driving conditions with either random or predictive auditory cues preceding lateral vehicle perturbations, while continuous measurements of steering behavior, reaction times, and subjective fatigue scales were recorded. This dataset extends prior driving research by examining the relationship between neural biomarkers and fatigue-related performance decrements in a controlled, high-frequency perturbation environment.
…guided meditation, music listening, and movie watching. Half of the cohort underwent…
This dataset comprises 64-channel EEG recordings from 7 participants performing an auditory imagery task, in which they imagined sounds associated with animals and tools following visual stimulus cues. The dataset is intended to support research on semantic decoding of imagined auditory content and brain-computer interface applications.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004973-blue…