Discover datasets

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 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

This dataset comprises resting-state EEG recordings and behavioral executive function assessments from 140 healthy adult participants, collected to investigate the relationship between intrinsic brain spatio-temporal dynamics (via EEG microstates) and executive functions. Participants underwent a 5-minute resting-state EEG recording (eyes open/closed) followed by a battery of nine cognitive tasks assessing executive functions. The study aimed to correlate EEG microstate metrics (occurrence, duration) with executive function performance scores.

Participants

165

Channels

64 (biosemi)

Citations

16

Size

6.41 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG/ERP data from an experiment examining sensitivity to semantic and syntactic violations in deaf readers. Participants read sentences presented word-by-word (RSVP) that contained subject-verb agreement violations, semantic violations, combined violations, word-order violations, or correct control sentences, while EEG was recorded. The study aims to characterize how deaf readers process linguistic anomalies at the neural level.

Participants

62

Channels

32 (10-10)

Citations

2

Size

8.53 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from participants undergoing laser-evoked pain stimulation at four individually calibrated intensity levels, applied to the left and right hand dorsum. Participants rated perceived pain intensity using a numerical rating scale (0-10) following each stimulus, across 80 trials in a two-factor repeated-measures within-subject design. The dataset supports research into the neural correlates of pain perception and intensity coding.

Participants

95

Channels

60 (10-10)

Size

300 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings collected as part of the UV_EEG study by Yukako Ito, mirrored on NEMAR from the original OpenNeuro repository. It provides electrophysiological data intended for reuse in EEG research, following BIDS standards for data organization.

Participants

22

Channels

6 (10-10)

Citations

5

Size

71.9 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset investigates the neural representation of consciously seen and unseen information, likely using EEG recordings to examine visual consciousness and perception. It is designed to support research into the neural correlates of conscious versus unconscious processing of visual stimuli.

Participants

33

Channels

63 (10-10)

Citations

1

Size

44.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises overnight sleep EEG recordings from 20 healthy participants, collected in spring 2017 as part of a wearable sleep monitoring study at the Surrey Clinical Research Centre. Recordings include full polysomnography (PSG) and around-the-ear cEEGrid measurements, with most subjects having both modalities recorded on the same night. The dataset supports comparison between conventional PSG and wearable cEEGrid sleep staging approaches.

Participants

20

Channels

6 (other)

Citations

94

Size

69.1 GB

Version

v1.0.0

Updated

Aug 19, 2026