Discover datasets

This dataset comprises magnetoencephalography (MEG) recordings from 35 Japanese native speakers (13 females, 22 males; mean age 21.7 ± 2.75 years) reading newspaper articles presented word-by-word. Part of the BCCWJ-Brain collection, it enables cross-modality comparisons of language processing by providing high temporal resolution neural data acquired using identical stimuli across MEG, fMRI, and EEG modalities. The dataset includes raw and preprocessed MEG data, anatomical MRI images, and detailed documentation of acquisition and analysis procedures. Note: Stimulus texts from the Balanced Corpus of Contemporary Written Japanese (BCCWJ) are not included due to copyright restrictions; users must register separately with BCCWJ to obtain access to the texts.

Participants

35

Citations

73

Size

166 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 41 Japanese native speakers reading newspaper articles from the Balanced Corpus of Contemporary Written Japanese (BCCWJ) presented word-by-word. Part of the BCCWJ-Brain collection, it enables cross-modality comparisons of language processing by providing high temporal resolution electrophysiological data acquired alongside fMRI and MEG from separate participant groups using identical stimuli. The dataset includes both raw and preprocessed data: raw data converted to FIF format, bandpass-filtered data (0.1–40 Hz), and fully preprocessed derivatives with ICA-cleaned, re-referenced, epoched, and downsampled signals suitable for event-related potential analyses.

Participants

41

Channels

64 (10-10)

Size

88.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This EEG-BIDS dataset contains cue-locked recordings from 43 neurotypical adults performing a random-dot kinematogram task designed to dissociate low-level and high-level priors during perceptual decision-making. The study investigates how hierarchical priors bias behavior and modulate occipital oscillatory and aperiodic EEG activity using signal detection theory and generalized drift-diffusion modeling. Three within-subject conditions (baseline, low-level prior, high-level prior) were tested with individualized motion coherence thresholds.

Participants

43

Channels

31 (10-10)

Size

8.76 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises 173 resting-state electroencephalograms (EEGs) from COVID-19 survivors (n=87) and close contacts/healthy controls (n=86), acquired using standard 10-20 electrode montage. The study characterizes EEG signatures associated with COVID-19 infection and recovery, contributing to understanding of neurophysiological alterations in post-acute COVID-19 syndrome. Data were collected at the Cuban Center for Neurosciences with ethical approval from institutional review boards.

Participants

173

Channels

21 (10-20)

Citations

1

Size

1.10 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset comprises electroencephalography (EEG) recordings and behavioral ratings collected during exposure to sonic-seasoning soundscapes. Participants completed eyes-open and eyes-closed baseline recordings followed by approximately 17-second exposures to jungle and deconstruct soundscapes while EEG was continuously recorded. The dataset includes raw EEG data, event markers, hedonic liking ratings, baseline state assessments, and stimulus audio files, with processed EEGLAB-compatible derivatives provided for secondary analysis.

Participants

30

Channels

14 (10-10)

Size

23.4 MB

Version

v1.0.0

Updated

Jul 10, 2026

A practice dataset containing EEG recordings collected during a student neuroscience workshop. This dataset is intended for educational and training purposes only and is not suitable for scientific analysis or research applications.

Participants

4

Size

481 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings and concurrent audio data collected during speech production and auditory listening tasks. Participants performed overt speech vocalization, passive listening to prerecorded speech, and covert speech imagery tasks while EEG was recorded using three different acquisition systems (g.tec g.Pangolin, g.SCARABEO, and ANT Neuro eego sports). The dataset supports brain decoding research investigating the neural correlates of speech perception and production.

Participants

3

Channels

128 (other)

Citations

2

Size

1.54 TB

Version

v1.0.0

Updated

Jul 10, 2026

This longitudinal brain-machine interface study presents multimodal neurophysiological and kinematic data from seven healthy adults performing motor imagery tasks to control a lower-limb exoskeleton. The dataset comprises 60-channel EEG with EOG, dual inertial measurement units, and exoskeleton control signals collected across nine sessions per participant. Data include both open-loop calibration phases and closed-loop BMI control trials, providing a comprehensive resource for investigating neural correlates of motor imagery and human-machine interaction in ambulatory tasks.

Participants

7

Channels

60

Size

2.98 GB

Version

v1.0.0

Updated

Jul 10, 2026

A fully anonymized long-term intracranial EEG dataset from 40 patients with pharmacoresistant epilepsy recorded at the Sleep-Wake-Epilepsy-Center, University of Bern. The dataset comprises 5376 hours of continuous iEEG with 381 annotated electrographic seizures, sampled at 512 or 1024 Hz and preprocessed with band-pass filtering and median referencing. This resource supports development and validation of seizure detection and neuronal activity modeling algorithms.

Participants

40

Citations

2

Size

2.96 TB

Version

v1.0.0

Updated

Jul 10, 2026

A raw EEG neuroimaging dataset containing pre and post intervention measurements organized according to BIDS standards. The dataset includes electroencephalography recordings from multiple groups collected to assess intervention effects through longitudinal pre-post measurements. Data is suitable for comparative group-level analysis of changes across study phases. For detailed information about study design, methods, participant demographics, and data organization, please refer to the README.md file in the dataset root directory.

Participants

55

Channels

19 (10-20)

Size

619 MB

Version

v1.0.0

Updated

Jul 10, 2026