Discover datasets

UV_EEG is an EEG dataset containing electroencephalography recordings mirrored from OpenNeuro (ds005274). The dataset includes raw EEG data in multiple formats (.eeg, .vhdr, .vmrk) along with associated metadata files (.json, .tsv) and documentation (.md). This is an unmodified mirror of the source dataset and provides neuroimaging data suitable for EEG analysis and research applications.

Participants

22

Channels

6 (10-10)

Size

71.8 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains neural recordings investigating the brain's representation of consciously perceived versus unconsciously processed visual information. The study examines how neural activity differs when identical visual stimuli are either consciously seen or remain outside conscious awareness, providing insights into the neural correlates of consciousness and visual perception.

Participants

33

Channels

63 (10-10)

Size

44.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

NeuroMorph is a high-temporal resolution magnetoencephalography (MEG) dataset comprising recordings from 24 subjects totaling over 17 hours of data acquired using a KIT/Yokogawa system with 208 magnetometer channels. The dataset is designed to support morpheme-based linguistic analysis and investigation of language and cognitive processes through visual presentation paradigms, providing a resource for studying neural mechanisms of language processing at fine temporal resolution.

Participants

24

Size

140 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises nightly electroencephalogram (EEG) recordings from 20 healthy participants collected during a wearable sleep monitoring study in spring 2017. The collection includes both full polysomnography (PSG) and cEEGrid measurements, with most subjects having recordings from the same night using both modalities. The data are formatted according to the Brain Imaging Data Structure (BIDS) and were previously used to develop machine learning approaches for automated sleep-wake staging.

Participants

20

Channels

6 (other)

Size

69.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset investigates the search superiority effect in human memory, examining whether incidental learning during visual search produces qualitatively different memory representations compared to intentional memorization. Thirty participants performed visual search and intentional memorization tasks on real-world scenes, followed by a surprise recognition memory test. The study combines EEG recordings with eye-tracking and behavioral measures (remember-know judgments and receiver operating characteristics) to dissociate the contributions of recollection and familiarity processes to recognition memory.

Participants

30

Channels

61

Size

17.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

The Ear-EEG Sleep Monitoring 2019 (EESM19) dataset comprises polysomnographic and ear-EEG recordings collected from 20 subjects over multiple nights in home settings between 2018 and 2020. The dataset includes concurrent measurements from partial PSG (EEG, EOG, chin EMG), ear-EEG electrodes, wrist-worn actigraphy, and subjective sleep quality assessments. This resource supports the development and validation of ear-EEG as a practical sleep monitoring platform.

Participants

20

Size

775 GB

Version

v1.0.0

Updated

Jul 10, 2026

The Ear-EEG Sleep Monitoring 2023 (EESM23) dataset comprises nightly EEG recordings from 10 healthy participants collected during 2020-2022. The dataset includes polysomnography and ear-EEG measurements from the first two subjects, with subsequent recordings consisting of ear-EEG data alone. Each recording contains both a video task sequence performed before sleep and a sleep monitoring sequence conducted overnight in participants' home environments, providing a resource for investigating ear-based EEG technology for sleep stage classification and monitoring.

Participants

10

Channels

8 (10-20)

Size

88.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

Chisco is a Chinese imagined speech EEG dataset comprising recordings from five participants across multiple sessions. The dataset includes raw EEG data collected over 5-6 days per participant, along with preprocessed data in both fif and pkl formats. This resource supports research in brain-computer interfaces and speech imagery decoding, with accompanying text stimuli used during data collection. Note: Participants sub-01 to sub-03 follow BIDS 1.6.0 protocol, while sub-04 and sub-05 (supplementary data) follow an earlier BIDS protocol version to maintain consistency with original publications. Future releases (Chisco 2.0) will include data from sub-06 and sub-07 under a new experimental paradigm.

Participants

5

Size

261 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings from 22 patients with drug-resistant epilepsy undergoing stereo-EEG presurgical evaluation. It contains 115 high-frequency stimulation trials evoking visual hallucinations, with 21-second iEEG recordings per trial (8 seconds pre-stimulation, up to 5 seconds stimulation, 8 seconds post-stimulation). The dataset enables investigation of brain networks underlying visually evoked effects through alternating polarity biphasic pulse stimulation.

Participants

20

Size

3.98 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises neurophysiological recordings from two experiments investigating auditory spatial processing and sound localization. Subjects were presented with noise bursts from loudspeakers positioned at various elevations while their evoked neural responses were recorded. The dataset includes a localization task, a deviant detection experiment, and a one-back task with manipulations of spatial cues, providing a comprehensive resource for studying the neural mechanisms of elevated sound perception and auditory spatial cognition.

Participants

58

Channels

64 (other)

Size

22.3 GB

Version

v1.0.0

Updated

Jul 10, 2026