Discover datasets

This dataset comprises 128-channel EEG recordings from 98 participants recruited from the COVIDOM/NAPKON-POP cohort, all with a history of confirmed SARS-CoV-2 infection. The study investigates neurophysiological correlates of Post-COVID-19 condition, focusing on self-reported cognitive symptoms, fatigue, anxiety, depression, and sleep quality. Participants underwent EEG recording during resting-state and cognitive tasks including a Psychomotor Vigilance Task, alongside standardized questionnaires (FACIT-Fatigue, HADS, PSQI) and neuropsychological testing.

Participants

97

Channels

128 (other)

Citations

1

Size

21.7 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG recordings paired with vocal audio data collected during an overt speech production task, in which participants vocalized visually presented text. Sessions are organized by recording date, with multiple runs per day, supporting research on brain-to-speech decoding and neural correlates of speech production. The dataset is intended to facilitate development and evaluation of EEG-based speech brain-computer interface models.

Participants

3

Channels

128 (other)

Citations

2

Size

49.6 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises 128-channel EEG recordings collected during a speech production paradigm designed to investigate neural correlates of overt, minimally overt, and covert speech. Participants produced one of five color words under each speech condition, with additional peripheral recordings including EOG, EMG, microphone, and display markers to support speech decoding analyses. The dataset includes both calibration sessions for decoder training and online sessions for real-time decoding evaluation.

Participants

3

Channels

128 (other)

Citations

1

Size

1.62 GB

Version

v1.0.0

Updated

Aug 18, 2026

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