Discover datasets

This dataset comprises EEG recordings collected from participants across multiple groups, assessed at pre- and post-intervention timepoints. It was designed to investigate changes in neural activity associated with an intervention, organized following the BIDS specification for interoperability. The dataset supports analyses such as EEG signal processing, functional connectivity, and pre/post comparisons.

Participants

67

Channels

19 (10-20)

Size

686 MB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises raw multimodal recordings from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. Data include EEG, fNIRS, ECG, EMG, torque/kinematic, behavioral (push-button), and subjective (sleepiness, cognitive load) measures, organized according to the BIDS standard. The dataset supports research into neurophysiological correlates of cognitive-motor interactions and dual-task performance.

Participants

30

Channels

32 (10-10)

Citations

1

Size

4.21 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.

Participants

23

Channels

64 (10-10)

Citations

1

Size

6.12 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG recordings from 116 individuals with Parkinson's disease (PD) and 28 healthy controls, collected at the Neurology Institute, Tel Aviv Sourasky Medical Center. Recordings were obtained during resting-state (eyes open, sitting) and treadmill walking conditions, accompanied by clinical measures including MoCA, MDS-UPDRS, LEDD, and CTT scores. The dataset aims to support research into neurophysiological subtypes and gait-related cognitive-motor interactions in Parkinson's disease.

Participants

144

Channels

65 (10-10)

Citations

4

Size

4.26 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains scalp EEG recordings from healthy adult participants collected during a one-hour session involving either 40 Hz audiovisual flicker stimulation, no flicker (control), or randomized flicker (sham) conditions. Throughout the recording session, participants performed a psychomotor vigilance task (PVT), enabling investigation of the effects of rhythmic sensory stimulation on vigilance and neural activity.

Participants

69

Channels

32 (10-10)

Size

14.8 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains behavioural and EEG hyperscanning data collected from 32 pairs of participants performing a musical joint action task. The data were collected to examine cognitive and neural signals underlying the sense of joint agency during synchronized musical performance. Each pair's data includes behavioural ratings and synchronization measures alongside dual-participant 64-channel EEG recordings in BrainVision format.

Participants

32

Citations

2

Size

8.06 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains raw EEG and behavioral data collected to investigate the common neural mechanisms underlying subjective experiences of passage of time. Participants completed behavioral tasks assessing subjective time perception while EEG was recorded. The data are organized in BIDS format to facilitate reuse and reanalysis by the neuroscience community.

Participants

42

Channels

63 (10-10)

Size

29.6 GB

Version

v1.0.0

Updated

Aug 18, 2026

This EEG dataset investigates how diffuse (categorical) predictions about stimulus orientation shape neural representations during memory encoding. Participants performed an orientation working-memory task in which a central color cue indicated whether an upcoming grating's orientation was drawn from a predictable 90° range or was fully unpredictable, and later judged whether a probe was rotated clockwise or counterclockwise relative to the memorized orientation. The study examines how predictive information stabilizes and reshapes neural codes for encoded visual features.

Participants

47

Channels

66 (10-10)

Size

145 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG recordings collected as part of a study developing a methodology for sample enrichment in EEG biomarker research for Alzheimer's disease risk classification. It aims to support the identification of electrophysiological biomarkers relevant to Alzheimer's risk stratification. The dataset was generated at Universidad de Antioquia and is intended for use in biomarker discovery and validation studies.

Participants

44

Channels

58 (10-10)

Citations

2

Size

13.6 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings from ten participants exposed to six marketing video stimuli from three companies (Red Bull, GoPro, and Columbia Sportswear). Videos were categorized as either traditional product-focused advertisements or extreme, authentic documentary-style content, enabling investigation of consumer neural responses to different marketing strategies. The dataset supports research in neuromarketing and consumer neuroscience.

Participants

10

Channels

14 (10-10)

Citations

1

Size

25.8 MB

Version

v1.0.0

Updated

Aug 18, 2026