Discover datasets

This dataset comprises simultaneous EEG and fMRI recordings from 33 healthy human participants during sleep and wakefulness. The study captures coordinated electrophysiological and hemodynamic signals using a 32-channel MR-compatible EEG system synchronized with BOLD fMRI acquisition. The experimental protocol includes anatomical imaging, resting-state sessions before and after a visual-motor adaptation task, and multiple sleep sessions with corresponding sleep stage annotations. EEG signals provide direct measures of electrophysiological activity and sleep stage information, while fMRI captures hemodynamic responses, enabling investigation of the relationship between neural activity during sleep-wake transitions.

Participants

33

Citations

17

Size

86.5 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.

Participants

31

Channels

129 (egi-geodesic)

Size

153 GB

Version

vv1.0.0

Updated

Jul 22, 2026

This dataset comprises EEG recordings from 25 college-age participants performing a reinforcement learning task with affective feedback. Collected in 2019 at the University of New Mexico's Clinical Research Center Lab, the data were acquired to investigate the sensitivity of the reward positivity (RewP) component to affective liking during probabilistic learning. This represents Experiment #2 of a study examining neural correlates of reward processing and emotional valuation in decision-making. This is a re-hosted version of OpenNeuro dataset ds003753.

Participants

25

Channels

66 (10-10)

Size

4.62 GB

Version

vv1.0.0

Updated

Jul 22, 2026

The Dataset on Emotion with Naturalistic Stimuli (DENS) comprises multimodal physiological recordings from 40 participants exposed to emotionally evocative video stimuli. The dataset includes concurrent EEG, ECG, and EMG measurements alongside behavioral self-assessment ratings across multiple emotion dimensions (valence, arousal, dominance, liking, familiarity, relevance, and emotion category). This resource supports research on emotion recognition, affective neuroscience, and the neural correlates of emotional responses to naturalistic, contextually-rich stimuli.

Participants

40

Channels

128

Citations

4

Size

4.46 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A longitudinal EEG dataset from 13 infants recorded at 4, 8, and 12 months of age, comprising 48 recording sessions. The dataset includes test-retest reliability assessments at 4 months (11 infants with complete longitudinal data, 2 infants with reliability data only) and was used to develop and validate APPLESEED, an automated preprocessing pipeline for estimating scale-wise entropy from pediatric EEG data. This example dataset accompanies the 2022 APPLESEED pipeline publication in Developmental Cognitive Neuroscience and demonstrates the application of entropy-based EEG analysis methods in early human development. The dataset is part of a larger longitudinal study initially described in Puglia et al. (2020).

Participants

13

Channels

32 (10-10)

Size

10.2 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings from a single patient undergoing single-pulse electrical stimulation, collected at Mayo Clinic as part of an NIH-funded initiative to develop a comprehensive database of stimulation responses. The study aims to advance understanding of human brain connectivity and network responses to electrical stimulation across the lifespan through systematic analysis of evoked potentials and network effects.

Participants

1

Size

620 MB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from a visual working memory task presented in virtual reality, where participants remembered object details cued by either a social (avatar) or non-social (stick) agent. The study investigates how social versus non-social cues modulate neural signatures of working memory, with cue validity (congruent vs. incongruent) manipulated across trials. Raw and preprocessed EEG data are provided alongside behavioral performance metrics and detailed event codes for memory encoding, maintenance, and retrieval phases.

Participants

47

Channels

59 (10-10)

Size

60.9 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises synchronized electroencephalogram (EEG), electrocardiogram (ECG), and pupillography recordings from 75 participants (36 young and 39 older adults) during auditory cued reaction time tasks and passive listening conditions. Participants performed a simple reaction time task and a go/no-go task, with EEG acquired at 500 Hz using 64 scalp electrodes, ECG recorded bipolarly from chest electrodes, and pupil data sampled at 240 Hz. The dataset is designed to investigate age-related differences in neural, cardiac, and pupillary responses during cognitive and perceptual decision-making tasks.

Participants

75

Channels

61 (10-10)

Size

21.5 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This open multimodal dataset combines intracranial electroencephalography (iEEG) and functional magnetic resonance imaging (fMRI) recordings from patients during naturalistic audiovisual film stimulation. The dataset includes simultaneous electrocorticography and fMRI data collected during a short film presentation, providing a unique resource for investigating neural responses to complex naturalistic stimuli across multiple recording modalities and spatial scales.

Participants

63

Size

15.3 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset combines high-density electroencephalography (EEG) with concurrent physiological recordings (ECG, EOG) and continuous behavioral metrics during transcranial electrical stimulation (tES). The study includes 19 participants performing a vigilance task across 62 sessions, with systematic application of nine HD-tES montages targeting three cortical regions (frontal, motor, parietal) using three waveforms (DC, 5 Hz, 30 Hz), yielding over 783 stimulation trials. The dataset supports investigation of tES effects on brain activity, physiology, fatigue, and cognitive performance.

Participants

25

Channels

35 (10-10)

Size

97.5 GB

Version

vv1.0.0

Updated

Jul 10, 2026