Discover datasets

This dataset contains EEG recordings from a frequency-tagging study investigating how the brain integrates observed actions that are visually or semantically dissimilar. Participants viewed action stimuli tagged at distinct frequencies while neural responses were recorded to examine integration effects in the frequency domain. The data are organized according to the BIDS-EEG standard.

Participants

29

Channels

63 (10-05)

Size

13.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG, electroglottography (EGG), and audio recordings from participants exposed to delayed auditory feedback (DAF) during speech production. The data were collected to investigate the neural and vocal responses to auditory feedback delays, capturing both brain activity and vocal fold vibration patterns synchronized with speech and altered auditory feedback timing.

Participants

32

Channels

62 (10-10)

Size

136 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains de-identified intracranial EEG (iEEG) recordings during sleep from 185 pediatric epilepsy patients collected at UCLA Mattel Children's Hospital and Children's Hospital of Michigan, Detroit. It includes channel-level anatomical labels, resection status, and outcome information, along with derivatives for high-frequency oscillation (HFO) detection and classification using RMS and MNI detectors. The dataset supports research on interictal iEEG biomarkers for predicting epilepsy surgery outcomes.

Participants

185

Citations

14

Size

165 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings and behavioural responses collected while participants viewed images of scenes and rated aesthetic properties (beauty, complexity, interestingness) or judged their appropriateness for reading or social activities. The study investigates perceived affordances of environments, particularly staircases, using neural and behavioural measures. Full stimulus images and extracted behavioural data accompany the raw EEG recordings.

Participants

26

Channels

64 (other)

Citations

1

Size

12.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

TMNRED is an EEG dataset collected from 30 healthy, right-handed native Chinese speakers performing a natural reading task designed to investigate fuzzy semantic target identification. Participants read Chinese news headlines and short sentences containing target and non-target semantic items while EEG was recorded across 8 blocks of 400 trials each. The dataset supports research into semantic processing mechanisms during naturalistic reading in the Chinese language.

Participants

30

Channels

30 (10-10)

Citations

1

Size

17.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises magnetoencephalography (MEG) recordings from participants with major depressive disorder (MDD, n=52) and non-depressed controls (CTL, n=38) collected during a probabilistic selection reinforcement learning task. The study investigates the Reward Positivity ERP/MEG component and ventromedial frontal cortex activity associated with reward processing in depression. Diagnostic group assignment was determined via SCID interview.

Participants

85

Citations

2

Size

162 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises naturalistic fMRI and MEG recordings from healthy adult participants who viewed an excerpt of a Chinese reality TV show, 'Where Are We Going, Dad?'. Thirty participants underwent fMRI scanning and thirty separate participants underwent MEG scanning using a novel OPM-MEG system, followed by comprehension questions and a resting period to capture spontaneous mental replay of the video. The dataset supports investigations of naturalistic neural processing, inter-subject correlation, and comparison between hemodynamic and neuromagnetic responses to complex audiovisual stimuli.

Participants

60

Citations

2

Size

112 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises high-density EEG recordings from 43 infants aged 5-10 months, collected as part of a broader study on the impact of bias and discrimination on maternal and infant health outcomes. Infants viewed relaxing videos while EEG was recorded to examine microstates and attention-related neural dynamics during early development. The data were collected at Duke University with appropriate ethical oversight and informed caregiver consent.

Participants

43

Channels

129 (egi-geodesic)

Citations

1

Size

26.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings of auditory brainstem responses (ABRs) collected from 15 normal-hearing adults exposed to continuous 'peaky speech' from male and female talkers at varying fundamental frequencies (f0), as well as click trains at matched rates. The study investigates whether fundamental frequency is the primary driver of talker-related differences in ABRs, comparing effects across natural, shifted, and midpoint f0 conditions. Data were collected in 2021 to support analyses reported in Polonenko & Maddox (2024).

Participants

15

Channels

2

Citations

11

Size

19.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains laser-evoked potential recordings capturing neural responses in the human spinal cord and cortex following nociceptive laser stimulation. It was collected to investigate the neurophysiological processing of pain-related signals across spinal and cortical levels. The dataset is organized according to the BIDS standard for electrophysiological data.

Participants

7

Channels

72 (other)

Size

18.6 GB

Version

v1.0.0

Updated

Aug 19, 2026