ERP CORE
…Face perception The N170 was elicited in a face perception task modified…
- Participants
- 40
- Channels
- 30 (10-10)
- Citations
- 162
- HED
- v8.4.0
- Size
- 17.5 GB
- Version
- v1.1.1
- Updated
- Apr 4, 2026
…Face perception The N170 was elicited in a face perception task modified…
A multimodal EEG, EOG and EMG dataset from 25 healthy, BCI-naive right-handed participants performing motor imagery and real movement of 11 intuitive upper-limb tasks. The tasks were 6 reaching directions, 3 grasping types and 2 wrist-twisting movements. Each participant completed 3 sessions of 550 trials. Recordings used 60 EEG channels at 1000 Hz. This BIDS derivative was generated via MOABB and is intended for BCI research on motor control and prosthetics.
…None of the raw `.bdf` recordings were touched — every change is to…
This EEG dataset investigates how personalized smartphone notification sounds bias auditory salience across successive stages of sensory and cognitive processing. Participants completed an auditory oddball experiment, allowing comparison of neural responses to personally relevant notification sounds against other auditory stimuli.
…These tasks were optimized to capture neural activity manifest in perception, cognition…
This dataset contains EEG recordings and hedonic (liking) ratings collected from participants exposed to sonic-seasoning soundscapes. Each participant has a combined recording with eyes-open and eyes-closed baselines followed by roughly 17 s exposures to jungle and deconstruct soundscapes. Liking ratings and baseline-state survey items are included in participants.tsv, and the stimulus audio is provided. An EEGLAB-ready processed version is provided as a derivative.
EEG recordings from healthy participants performing self-initiated palmar and lateral reach-and-grasp actions, acquired simultaneously across three recording systems: gel-based laboratory EEG, water-based mobile EEG, and dry-electrode mobile EEG. The dataset supports investigation of the feasibility of decoding natural reach-and-grasp movement-related cortical potentials across EEG acquisition modalities for brain-computer interface applications. It is distributed in BIDS format as part of the MOABB benchmark collection.
[ dataset from five participants performing a finger tapping task, organized according to the draft fNIRS BIDS specification. Participants tapped their left or right thumb to fingers, or rested as a control, in response to auditory cues, with sensors placed over the motor cortex and short channels attached. The dataset demonstrates conversion of NIRx recordings to BIDS using MNE-BIDS.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006104-blue…