Discover datasets

A multimodal neurophysiological dataset acquired from 30 healthy adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks. The dataset includes concurrent EEG, functional near-infrared spectroscopy (fNIRS), electrocardiography, electromyography, and behavioral measures across three sessions. This resource enables investigation of brain-behavior relationships during isolated and integrated cognitive-motor processing.

Participants

30

Channels

32 (10-10)

Size

4.20 GB

Version

v1.0.0

Updated

Jul 10, 2026

This multimodal dataset comprises simultaneous electroencephalography (EEG), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adult participants during two experimental conditions: naturalistic smartphone interaction and standardized video viewing. Hardware-based TTL synchronization enables precise temporal alignment across all physiological modalities, facilitating investigation of neural and physiological responses to digital device interaction.

Participants

23

Channels

64 (10-10)

Size

6.12 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises 64-channel EEG recordings from 116 Parkinson's disease patients and 28 healthy controls acquired during resting state (sitting, eyes open) and treadmill walking conditions. Each participant underwent approximately 4 minutes of EEG recording under both behavioral conditions, with accompanying clinical assessments including MDS-UPDRS, MoCA, and medication dosage data. The dataset was collected at the Neurology Institute, Tel Aviv Sourasky Medical Center, and is organized according to BIDS specifications.

Participants

144

Channels

65 (10-10)

Size

4.26 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises scalp electroencephalography (EEG) recordings from healthy adult participants during a one-hour psychomotor vigilance task under three stimulation conditions: 40 Hz audiovisual flicker, no flicker control, and randomized flicker sham stimulation. The study investigates the effects of flickering audiovisual stimulation on sustained attention and vigilance performance.

Participants

69

Channels

32 (10-10)

Size

14.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

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

v1.0.0

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

v1.0.0

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

v1.0.0

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

v1.0.0

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

v1.0.0

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

v1.0.0

Updated

Jul 10, 2026