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This intraoperative EEG dataset comprises somatosensory evoked potentials (SEP) recorded from 14 adult and 4 pediatric subjects during median and tibial nerve stimulation at 8 different stimulation rates. The dataset was collected to optimize signal-to-noise ratio in short-duration SEP recordings through systematic variation of stimulus repetition rates, with both raw continuous EEG data and processed derivatives provided for 34 median SEP and 32 tibial SEP sessions.

Participants

18

Channels

4 (other)

Size

7.73 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings from 6 patients (ages 13-53 years) undergoing clinical evaluation for epilepsy surgery. Cortico-Cortical Evoked Potentials (CCEPs) were recorded via electrocorticography (ECoG) during single-pulse electrical stimulation (SPES) in two conditions: during awake clinical routine and under propofol-induced general anesthesia. The dataset investigates the effects of propofol on local effective brain networks and is organized according to the Brain Imaging Data Structure (BIDS) specification.

Participants

7

Size

27.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises pooled electrooculography (EOG) data from 41 participants across two studies investigating the relationship between eye blinks and attention during a competing speaker paradigm. Participants performed selective auditory attention tasks while listening to competing audiobooks, with experimental conditions varying between studies regarding sound presentation (omnidirectional versus beamforming). The dataset integrates EOG recordings from Jaeger et al. (2020) and Holtze et al. (2021) to enable comparative analysis of oculomotor behavior during dichotic listening tasks.

Participants

41

Channels

7 (egi-geodesic)

Citations

2

Size

8.01 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography recordings from 16 subjects viewing rapid serial visual presentations of gabor-like stimuli at two presentation rates (6.67 Hz and 20 Hz). Participants performed a concurrent fixation color change detection task while EEG data were acquired. The study investigates the dynamics of visual feature coding and neural mechanisms underlying perception and feature integration.

Participants

16

Size

69.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises Auditory Brainstem Response (ABR) recordings from 22 healthy young adults (ages 22.7 ± 5.1 years) obtained during continuous presentation of music and speech stimuli. Using a deconvolution method applied to EEG data collected from June to August 2021, the study investigates subcortical and cortical neural responses to different acoustic categories. The dataset includes raw EEG recordings in BrainVision format, stimulus files, and detailed event metadata enabling analysis of neural differentiation between music and speech processing. Two subjects (014 and 021) were excluded due to self-withdrawal and technical data collection issues, respectively.

Participants

22

Channels

34 (10-10)

Size

213 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The Ear-EEG Sleep Monitoring 2017 (EESM17) dataset comprises nightly polysomnographic recordings from 9 healthy participants, combining conventional EEG, EOG, and chin EMG with 14 ear-EEG electrodes. The dataset includes both wake-state recordings (subjects relaxing before sleep) and sleep-state recordings (overnight monitoring at participants' homes), with sleep scoring initiated at lights out. This resource enables investigation of ear-based EEG for sleep monitoring applications.

Participants

9

Channels

34 (other)

Size

12.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises concurrent EEG and EMG recordings collected during a visual perception task examining symmetry detection and affective responses. Participants viewed visual patterns and made judgments about pattern regularity following stimulus offset, providing insights into the neural and physiological correlates of symmetry perception.

Participants

24

Channels

64 (other)

Size

2.69 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalographic (EEG) recordings collected during the presentation of stylized facial stimuli to investigate emotion detection and event-related potentials (ERPs). The study demonstrates that artificially enhanced faces with exaggerated visual features elicit enhanced N170 components compared to standard facial images, suggesting optimized stimulus design can improve neural correlates of emotion recognition. These findings have implications for affective brain-computer interface (BCI) development and emotion detection accuracy from EEG signals. Participant information has been anonymized.

Participants

26

Channels

28 (10-10)

Size

2.46 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from 50 healthy control participants performing a reinforcement learning task under two mood conditions (sad and happy mood manipulation). The study examines how affective state influences learning and decision-making processes, with data collected between 2019-2021. The task includes distinct training and testing phases, with mood manipulation administered prior to each training block.

Participants

50

Channels

66 (10-10)

Size

18.3 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from 50 healthy control participants performing a reinforcement learning task under two mood conditions: sad mood manipulation (n=25) and neutral mood manipulation (n=25). The task included training and testing phases adapted from established reinforcement learning paradigms. Data were collected between 2019-2021 at the Cognitive Rhythms and Computation Lab at the University of New Mexico to investigate the effects of mood state on learning and decision-making processes.

Participants

50

Channels

66 (10-10)

Size

9.81 GB

Version

vv1.0.0

Updated

Jul 10, 2026