Discover datasets

This dataset comprises de-identified interictal intracranial EEG (iEEG) recordings during sleep from 185 pediatric subjects with epilepsy, collected from UCLA Mattel Children's Hospital and Children's Hospital of Michigan. The dataset includes raw iEEG data with anatomical labels and clinical metadata, along with processed derivatives containing high-frequency oscillation (HFO) detections using RMS and MNI methods. This resource supports research on pathological HFO characterization, epileptogenic zone localization, and seizure outcome prediction.

Participants

185

Size

165 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings and behavioral responses from participants viewing scene images and rating their aesthetic properties (beauty, complexity, interestingness) and contextual appropriateness for reading or social activities. The study investigates neural correlates of environmental perception and aesthetic judgment, with extracted behavioral data and complete stimulus set provided for reproducibility and further analysis.

Participants

26

Channels

64 (other)

Size

12.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

TMNRED is a Chinese language EEG dataset comprising recordings from 30 healthy native speakers during natural reading tasks designed to investigate semantic processing mechanisms. Participants read text stimuli (15-20 characters) presented as news headlines or short sentences, with each participant completing 8 blocks of 400 trials. The dataset includes both raw and preprocessed EEG data organized according to BIDS standards. Sensor-level EEG analyses have been performed to examine neural responses to target and non-target semantic items.

Participants

30

Channels

30 (10-10)

Size

17.4 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 43 infants aged 5-10 months during a passive viewing task involving relaxing videos with attention-grabbing cues. The study investigates infant neural microstates and attentional processes as part of a larger investigation into the effects of bias and discrimination on maternal health and infant neurodevelopment. High-density EEG was recorded using a 128-channel geodesic sensor net while infants watched video stimuli presented in controlled laboratory conditions.

Participants

43

Channels

129 (egi-geodesic)

Citations

1

Size

26.5 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains auditory brainstem response (ABR) recordings from 15 participants exposed to continuous peaky speech and click stimuli varying in fundamental frequency. The study investigates whether fundamental frequency (f0) is the primary driver of talker-dependent differences in ABRs by systematically manipulating f0 across male and female narrators at three frequency levels (123, 150, 183 Hz) and comparing responses to click trains at matched rates. EEG data were collected using Brain Products equipment with stimuli presented via insert earphones at 65 dB SPL.

Participants

15

Channels

2

Size

19.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises laser-evoked potentials recorded simultaneously from the human spinal cord and cortex. The study investigates nociceptive processing across multiple levels of the somatosensory system using high-resolution electrophysiological recordings. Data include EEG and spinal cord recordings from multiple subjects, providing insights into pain-related neural activity from peripheral to central nervous system levels.

Participants

7

Channels

72 (other)

Size

18.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises resting-state EEG recordings and cognitive task performance data from 165 recruited participants, of which 140 constitute the final analyzed sample (ages 18-35) collected across two sessions. The study investigates the relationship between intrinsic brain spatio-temporal dynamics, assessed via EEG microstates during rest, and executive function performance measured through a comprehensive battery of nine cognitive tasks. The dataset includes 64-channel EEG recordings acquired at 512 Hz and behavioral measures from standardized executive function assessments.

Participants

165

Channels

64 (biosemi)

Size

6.41 GB

Version

vv1.0.0

Updated

Jul 22, 2026

This event-related potential (ERP) study investigates semantic and syntactic language processing in deaf readers by examining neural responses to grammatical violations and semantic anomalies. Participants viewed 180 sentences presented in rapid serial visual presentation (RSVP) format while EEG was recorded, with conditions including subject-verb agreement violations, semantic violations, combined violations, word-order violations, and correct control sentences. The research provides insights into the neural mechanisms underlying language comprehension in deaf populations.

Participants

62

Channels

32 (10-10)

Size

8.52 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises neuroimaging recordings from 95 participants who received individualized laser pain stimulation at varying intensities while providing subjective pain ratings. The study employed a within-subject design with four stimulus intensity levels (corresponding to numerical rating scale values of 2, 4, 6, and 8) applied to two body locations (left and right hand dorsum), yielding 80 total trials per participant. Stimulus intensities were calibrated individually based on pain thresholds: E1: 2.0 ± 0.2 J; E2: 2.7 ± 0.3 J; E3: 3.4 ± 0.3 J; E4: 4.1 ± 0.4 J. The dataset captures neural responses to calibrated nociceptive stimulation and associated pain perception ratings, providing a resource for investigating the neural correlates of pain processing across stimulus intensities.

Participants

95

Channels

60 (10-10)

Size

300 GB

Version

vv1.0.0

Updated

Jul 22, 2026

UV_EEG is an EEG dataset containing electroencephalography recordings mirrored from OpenNeuro (ds005274). The dataset includes raw EEG data in multiple formats (.eeg, .vhdr, .vmrk) along with associated metadata files (.json, .tsv) and documentation (.md). This is an unmodified mirror of the source dataset and provides neuroimaging data suitable for EEG analysis and research applications.

Participants

22

Channels

6 (10-10)

Size

71.8 MB

Version

vv1.0.0

Updated

Jul 10, 2026