Discover datasets

Imported from OpenNeuro ds007175

Participants

1

Channels

64 (10-10)

Size

226 GB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

24

Channels

64

HED

v8.4.0

Size

5.69 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises multi-session, multi-task EEG recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. The dataset is in raw, unpreprocessed state and has been formatted according to BIDS standards for accessibility and reproducibility.

Participants

15

Channels

61 (10-10)

Citations

59

HED

v8.4.0

Size

1.22 GB

Version

v1.0.1

Updated

Jul 10, 2026

Imported from OpenNeuro ds006126

Participants

6

Channels

3 (other)

Size

1.08 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains raw MEG recordings, anatomical T1-weighted MRI scans, and behavioral data from an audiovisual speech memory study. Participants performed a three-phase task involving encoding of audiovisual speech movies with synchrony judgments, a distractor task, and retrieval of speech memories cued by speaker faces. The study investigates how neocortical and hippocampal theta oscillations support audiovisual integration and memory replay of speech information.

Participants

30

Size

172 GB

Version

v1.0.0

Updated

Jul 10, 2026

BCIComp2020UpperLimb is a preprocessed EEG dataset from BCI Competition 2020 Track 4 containing motor imagery recordings of three upper-limb grasping tasks (cylindrical, spherical, lumbrical) from 15 healthy subjects across three sessions. The dataset comprises 60-channel EEG data sampled at 250 Hz with 450 trials per subject (150 trials per session × 3 sessions), designed to evaluate session-to-session transfer learning in brain-computer interface applications. Data were preprocessed with 60 Hz notch filtering and cue-aligned epoching, with the 4-second motor imagery window extracted for analysis.

Participants

14

Channels

60 (10-10)

HED

v8.4.0

Size

795 MB

Version

v1.0.1

Updated

Jul 10, 2026

This dataset comprises simultaneous EEG and fMRI recordings from 33 healthy human participants during sleep and wakefulness. The study captures coordinated electrophysiological and hemodynamic signals using a 32-channel MR-compatible EEG system synchronized with BOLD fMRI acquisition. The experimental protocol includes anatomical imaging, resting-state sessions before and after a visual-motor adaptation task, and multiple sleep sessions with corresponding sleep stage annotations. EEG signals provide direct measures of electrophysiological activity and sleep stage information, while fMRI captures hemodynamic responses, enabling investigation of the relationship between neural activity during sleep-wake transitions.

Participants

33

Citations

17

Size

86.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises resting-state electroencephalography (EEG) recordings from 111 healthy control subjects acquired using a BioSemi ActiveTwo system with 64 electrodes. Subjects were recorded during four minutes of continuous EEG with eyes closed, with some subjects undergoing repeat recordings at a later timepoint. The dataset includes both raw EEG data rereferenced to average reference and a derived cleaned dataset preprocessed with an automated pipeline, along with demographic and cognitive test data.

Participants

111

Channels

64 (10-10)

Size

20.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises raw magnetoencephalography (MEG) recordings from 23 healthy adult participants performing an n-item delayed temporal reproduction task, designed to investigate the neural dynamics of working memory load indexed by alpha power. Participants maintained sequences of one or three temporal intervals in memory and reproduced them upon cue. The dataset includes concurrent electro-oculogram and electrocardiogram recordings, structural MRI for source reconstruction, and resting-state MEG, providing a comprehensive resource for studying neural mechanisms of working memory and auditory-motor processing.

Participants

24

Size

136 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from a single healthy participant exposed to multisensory stimulation at gamma frequencies (40Hz). The experiment investigates brain entrainment responses to three stimulus modalities: auditory (5kHz carrier amplitude-modulated at 40Hz), visual (20Hz flickering white LED array), and combined audio-visual stimulation. Each stimulus epoch lasted 40 seconds and was recorded using 19 monopolar EEG channels at 500Hz sampling rate. The study aims to characterize synchronized brain oscillations induced by different sensory modalities, with potential implications for understanding gamma entrainment mechanisms relevant to neurodegenerative diseases such as Alzheimer's disease.

Participants

1

Channels

19 (10-20)

Size

17.0 MB

Version

v1.0.0

Updated

Jul 10, 2026