Discover datasets

EEG dataset investigating whether images of stylized (cartoon-like) faces with exaggerated visual features improve event-related potential (ERP) correlates of emotion relative to ordinary human faces. The stylized faces elicit an enhanced N170 component associated with facial recognition encoding. The findings suggest that consistent stimulus transformations could improve affect detection from EEG in affective brain-computer interface design.

Participants

26

Channels

28 (10-10)

Citations

1

Size

2.46 GB

Version

v1.0.0

Updated

Jun 24, 2026

EEG dataset from a picture-word interference (PWI) picture-naming experiment conducted at the NeuroCognition Laboratory at San Diego State University. Participants named line drawings preceded by English distractor words that were semantically related, identical in name, or unrelated to the picture, while EEG and verbal responses were recorded. The dataset supports investigation of the neural correlates of lexical access and semantic interference during speech production.

Participants

29

Channels

32 (10-10)

Size

2.28 GB

Version

v1.0.0

Updated

Jun 28, 2026

This dataset is the EEG and structural MRI portion of a multi-subject, multi-modal face processing study (originally ds000117), repackaged in EEGLAB format with augmented event logs and HED annotation. Eighteen participants viewed famous, unfamiliar, and scrambled faces while making symmetry judgments. The original study had two sessions (fMRI and simultaneous MEG/EEG); only the MEEG session's EEG data and the structural MRI are included here, while MEG and fMRI data are excluded. Minimal preprocessing, including EEG channel extraction, event correction, and resampling to 250 Hz, yields a lightweight version suitable for tutorials and EEG source localization.

Participants

18

Channels

70 (other)

Citations

84

Size

4.31 GB

Version

v1.0.0

Updated

May 25, 2026

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.

Participants

7

Channels

64 (10-10)

Size

12.7 GB

Version

v1.0.0

Updated

Jun 24, 2026

EEG recordings from 23 participants performing a passive viewing task with partially occluded and subsequently uncovered scenes containing game pieces on a game board. Conditions varied the number of initially visible pieces (4 or 32) and the number of pieces revealed after the occluder was removed (0 to 32). The dataset supports investigation of neural responses to object numerosity in occluded and uncovered visual scenes.

Participants

23

Channels

60 (10-10)

Size

28.7 GB

Version

v1.0.0

Updated

Jun 27, 2026

EEG recordings from four participants performing motor imagery of the left hand, right hand, and feet, originally reported by Zhou et al. (2016) in a study on automated trial selection for motor imagery brain-computer interfaces. Each participant completed three sessions of two runs, giving 450 trials per subject. Data were recorded from 14 channels at 250 Hz and reformatted into BIDS from a MOABB-generated Zenodo version.

Participants

4

Channels

14 (10-10)

Citations

87

Size

152 MB

Version

v1.0.0

Updated

Mar 3, 2026

The YOTO (You Only Think Once) dataset is a human EEG resource for studying multisensory perception and mental imagery. Twenty participants completed tasks with unimodal and multimodal (visual, auditory, and combined) cues while EEG was recorded at 1000 Hz, and they gave self-reported vividness ratings of their imagery. Technical validation with event-related potentials and power spectral density analyses confirmed data reliability and distinct neural responses across stimuli, supporting research on neural decoding, perception, and cognitive modeling.

Participants

20

Channels

30

Size

9.91 GB

Version

v1.0.0

Updated

Jun 20, 2026

Ultra high-density 128-channel EEG recorded from 18 individuals with migraine (interictal) and 21 healthy controls. Recordings include steady-state visual evoked potential (SSVEP) and steady-state auditory evoked potential (SSAEP) tasks at 4 and 6 Hz, as well as eyes-open resting state. The data support analyses of cortical coherence abnormalities in migraine.

Participants

39

Channels

130 (10-05)

Size

26.8 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from fourteen healthy participants performing a covert spatial attention task across three sessions. The study tested real-time feedback of alpha power lateralization (α-LI) versus sham feedback in a single-blinded crossover design. It examined whether such neurofeedback leads to behavioral improvements in attention.

Participants

14

Channels

64 (10-10)

Size

10.1 GB

Version

v1.0.0

Updated

Jun 21, 2026

EEG dataset from a single healthy young adult examining how auditory, visual, and combined audio-visual stimulation entrain gamma-band brain oscillations. Gamma entrainment has been proposed as a therapeutic approach for Alzheimer's disease symptoms. The session consists of three 40-second stimulation epochs, using a 40 Hz amplitude-modulated auditory tone, a 20 Hz LED flicker, and both together.

Participants

1

Channels

19 (10-20)

Size

17.0 MB

Version

v1.0.0

Updated

Jun 22, 2026