Le Petit Prince (LPP) Multi-talker: Naturalistic 7T fMRI and EEG Dataset
…EEG and fMRI experiments while listening to the Chinese version of *Le…
- Participants
- 26
- Channels
- 64
- Size
- 405 GB
- Version
- v1.0.0
- Updated
- Jun 18, 2026
…EEG and fMRI experiments while listening to the Chinese version of *Le…
…WF, Zhang L, Hu L. Music Reduces Pain Unpleasantness: Evidence from an…
A mobile EEG dataset of auditory attention from 20 participants performing a two-competing-speaker paradigm. Participants either sat on a chair or walked an indoor route while attending to one of two speakers. Salient environmental events presented from in front of the participant were used to disrupt attention, allowing neural tracking of speech to be studied in realistic, mobile conditions.
…12 participant while they were listening to 6 hours of naturalistic stories…
…more granular ‘ground truth’ for affective states. ## Citation For a detailed description…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003703-blue…
The MNE-Sample-Data dataset is a simultaneous MEG and 60-channel EEG recording with an accompanying structural MRI, distributed with the MNE software. Checkerboard patterns were presented to the left and right visual fields, interleaved with tones to the left or right ear, and the subject responded to occasional smiley faces. It serves as a standard example dataset for demonstrating MEG/EEG analysis workflows, and FreeSurfer-derived anatomical surfaces are included.
This dataset contains EEG recordings from 7 participants performing an auditory imagery task, in which they imagined the sounds made by objects from the semantic categories of animals and tools for 5 seconds. It supports research on semantic decoding and brain-computer interfacing. Recordings were made with a 64-channel BioSemi system, with additional EOG, physiological, and respiration channels.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004483-blue…
…with a glowing core while listening to an audio-recorded compassion meditation…