Discover datasets

This dataset comprises simultaneous EEG recordings (hyperscanning) and behavioral data from 32 participant pairs engaged in a joint musical action task. Participants performed either musical duets or constant pitch sequences while their sense of joint agency was assessed via self-report ratings. The dataset includes raw EEG data from 64 channels (32 per participant) in BrainVision format, synchronized behavioral measures of performance synchronization, and detailed event markers for experimental conditions and trial structure.

Participants

32

Size

8.06 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains BIDS-formatted EEG and behavioral data from a study investigating the neural mechanisms underlying subjective experiences of time passage. Participants completed experimental tasks designed to probe temporal perception across different conditions. The raw electrophysiological recordings and associated behavioral measures provide empirical evidence for a common neural substrate supporting temporal perception. Data were collected using standard EEG acquisition protocols and preprocessed according to BIDS conventions. The study includes multiple participants across several experimental sessions examining how the brain processes and perceives the passage of time.

Participants

42

Channels

63 (10-10)

Size

29.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from a memory encoding task in which participants judged the rotation of probe gratings relative to memorized orientations. The experimental design manipulates predictability through color cues that either constrain the range of possible orientations (predictive condition) or provide no constraint (non-predictive condition). The study investigates how diffuse predictions stabilize and reshape neural representations during memory encoding.

Participants

47

Channels

66 (10-10)

Size

145 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset presents a comprehensive methodology for sample enrichment in electroencephalography (EEG) biomarker studies designed to classify Alzheimer's disease risk. The study employs systematic approaches to optimize participant selection and EEG data quality for improved biomarker identification and risk stratification in neurodegenerative disease research. The dataset includes raw EEG recordings and associated metadata following BIDS standards. This resource supports research into early detection and risk classification of Alzheimer's disease through advanced EEG biomarker analysis.

Participants

44

Channels

58 (10-10)

Size

13.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from ten participants viewing marketing video stimuli to investigate consumer neural responses to extreme versus traditional advertising content. Participants were exposed to six videos from three companies (Red Bull, GoPro, Columbia Sportswear) representing both conventional product-focused advertisements and documentary-style authentic content. Data were acquired using a 14-channel EMOTIV EPOC X headset, providing insights into the neurophysiological mechanisms underlying consumer perception of different marketing approaches.

Participants

10

Channels

14 (10-10)

Size

25.7 MB

Version

vv1.0.0

Updated

Jul 10, 2026

A large-scale EEG dataset comprising recordings from 7,933 participants across India and Tanzania, collected through field-based research programs with nonspecialist teams. The dataset includes electroencephalographic recordings alongside demographic metadata (age, sex, income) and mental health assessments (Mental Health Quotient scores). Data quality was validated using PREP and FASTER methods and demonstrated comparability to controlled laboratory benchmarks, establishing the feasibility of cost-effective, high-throughput EEG data collection in diverse, low- and middle-income country settings.

Participants

2000

Channels

50 (other)

Size

16.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

HAD-MEEG is a multimodal neuroimaging dataset combining magnetoencephalography (MEG) and electroencephalography (EEG) recordings from 30 participants viewing 21,600 video clips across 180 human action categories. Designed to complement the previously released HAD-fMRI dataset, this resource leverages the millisecond-level temporal resolution of M/EEG to capture rapid neural dynamics underlying action recognition and social cognition, enabling comprehensive spatiotemporal investigation of the neural mechanisms supporting human action perception.

Participants

32

Channels

62 (10-10)

Size

219 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings and structural MRI scans from patients undergoing stereotactic focused ultrasound mesencephalotomy for the treatment of head and neck cancer pain. The study evaluates neurophysiological responses during this minimally invasive neurosurgical procedure. Data were collected from multiple subjects and organized according to BIDS standards (version 1.8.0). The dataset includes raw EEG data acquired during the procedure and structural anatomical MRI images. Processing was performed using EEG-BIDS (v10.3) and dicm2nii (v20250821) tools.

Participants

5

Channels

50 (other)

Size

1.65 GB

Version

vv1.0.0

Updated

Jul 10, 2026

EEGEyeNet is a simultaneous electroencephalography and eye-tracking dataset designed for eye movement prediction research. This BIDS-standardized dataset contains raw EEG and eye-tracking recordings collected from human subjects during controlled experimental tasks. The dataset serves as a benchmark for developing and evaluating computational models of eye movement behavior using multimodal neuroimaging data.

Participants

1

Channels

129 (egi-geodesic)

Size

44.9 MB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from an auditory oddball experiment designed to investigate how personalized smartphone notifications modulate auditory salience processing across different neural processing stages. The study examines the effects of notification-induced attention shifts on the neural representation of task-relevant and task-irrelevant auditory stimuli. Data were collected from multiple participants using a standardized oddball paradigm with smartphone notification manipulations to assess changes in event-related potentials and other EEG markers of auditory processing.

Participants

57

Channels

64 (10-10)

Size

42.5 GB

Version

vv1.0.0

Updated

Jul 10, 2026