Discover datasets

This dataset comprises magnetoencephalography (MEG) recordings from 35 Japanese native speakers who read Japanese newspaper articles word by word, presented via rapid serial visual presentation. It forms part of the BCCWJ-Brain collection, which includes fMRI, MEG, and EEG data from separate participant groups exposed to the same stimuli, enabling cross-modal comparisons of language processing at high spatial and temporal resolution. T1-weighted structural images were also acquired for source localization purposes.

Participants

35

Citations

74

Size

166 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains 64-channel EEG recordings from 41 Japanese native speakers who read Japanese newspaper articles from the Balanced Corpus of Contemporary Written Japanese (BCCWJ), presented word by word via rapid serial visual presentation. It is part of the BCCWJ-Brain collection, which also includes fMRI and MEG datasets acquired from separate participant groups using the same stimuli, enabling cross-modal comparisons of language processing with complementary spatial and temporal resolution.

Participants

41

Channels

64 (10-10)

Citations

1

Size

89.1 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains cue-locked EEG recordings and behavioral event annotations from 43 healthy adults performing a random-dot kinematogram (RDK) task designed to dissociate low-level and high-level hierarchical priors during perceptual decision-making. The study examines how such priors bias behavior via signal detection theory and generalized drift-diffusion modeling, and how they modulate occipital oscillatory and aperiodic EEG activity. Participants also completed questionnaires assessing psychosis proneness and psychological flexibility traits.

Participants

43

Channels

31 (10-10)

Size

8.76 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises resting-state EEG recordings from 173 individuals, including 86 healthy close contacts and 87 COVID-19 survivors, collected at the Cuban Neuroscience Center. The dataset was designed to characterize EEG signatures associated with COVID-19 survival and to compare them with a Cuban EEG normative database. Recordings were obtained using a standard 10-20 montage under resting conditions with eyes closed and alternating eyes open/closed periods.

Participants

173

Channels

21 (10-20)

Citations

1

Size

1.10 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings and hedonic (liking) ratings collected from participants exposed to sonic-seasoning soundscapes (jungle and deconstruct), alongside eyes-open and eyes-closed resting calibration baselines. Data were recorded with EPOC X consumer-grade EEG hardware and include behavioral survey responses and stimulus audio files. The dataset supports research on crossmodal sensory perception and the influence of auditory soundscapes on hedonic evaluation.

Participants

30

Channels

14 (10-10)

Size

23.4 MB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings collected during an EEG Workshop organized by the Student Network for Neuroscience. It is intended exclusively for practice and training purposes and is not suitable for scientific analysis.

Participants

4

Size

481 MB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG and synchronized audio recordings collected for brain-based speech decoding research. It includes overt speech production, auditory listening, and covert speech imagery tasks recorded with multiple EEG acquisition systems (g.tec g.Pangolin, g.tec g.SCARABEO, ANT Neuro eego sports). The dataset supports research on neural correlates of speech production and perception, and brain-computer interface decoding of speech from EEG signals.

Participants

3

Channels

128 (other)

Citations

3

Size

1.54 TB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains multimodal brain–machine interface (BMI) recordings from seven healthy adults who trained over nine longitudinal sessions to control a lower-limb exoskeleton via motor imagery. It includes 60-channel EEG, 4-channel EOG, dual IMU motion data, and exoskeleton control/feedback signals collected during open-loop calibration and closed-loop walk/stop trials. The dataset supports research on EEG-based decoding of motor imagery for neurorehabilitation and human-robot interaction applications.

Participants

7

Channels

60

Citations

2

Size

3.62 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains neuroimaging data organized in BIDS format, comparing pre- and post-intervention groups. It is intended to support analyses of changes associated with an experimental intervention, providing raw data for reuse by the research community.

Participants

55

Channels

19 (10-20)

Size

626 MB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG recordings organized in BIDS format, collected from participants at pre- and post-intervention time points. It is intended to support analyses of intervention-related changes in brain activity across two experimental groups.

Participants

55

Channels

19 (10-20)

Size

626 MB

Version

v1.0.0

Updated

Aug 18, 2026