Discover datasets

This dataset comprises intracranial EEG (iEEG) recordings from 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing 41 instances of high-frequency cortical stimulation that evoked negative motor responses. Each recording includes pre- and post-stimulation epochs used for connectivity analysis, along with detailed stimulation parameters. The dataset supports research into the cortical networks underlying negative motor phenomena elicited by direct electrical stimulation.

Participants

21

Citations

1

Size

1.04 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains resting state and auditory oddball task EEG recordings from older adults under two conditions: a control condition and an arousal condition induced by threat of unpredictable shock. Data were collected to examine locus coeruleus-noradrenaline system activity and its relation to arousal, attention, and behavior. Recordings include eyes-open and eyes-closed resting state segments as well as passive and active auditory oddball paradigms with standard, target, and distractor tones.

Participants

68

Channels

65 (egi-geodesic)

Citations

2

Size

64.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

3M-CPSEED is an EEG dataset capturing brain activity from 20 healthy native Chinese speakers performing overt, silent-intended, and imagined speech production of Chinese Pinyin syllables. The dataset targets speech neurophysiology research, particularly the neural correlates of pinyin articulation across speech modes, and supports transfer learning studies for other alphabetic languages.

Participants

20

Channels

32 (10-10)

Citations

3

Size

15.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG and ECG recordings collected during guided imagery hypnotherapy sessions designed to promote eudaemonic well-being through storytelling and deep visualization. Recordings include a baseline resting-state EEG session and EEG/ECG data from three in-person hypnotherapy sessions, with event markers denoting phase transitions within each session. The dataset is derived from a source OpenNeuro dataset and formatted according to BIDS standards.

Participants

9

Channels

64 (10-10)

Citations

17

Size

4.31 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from three experiments investigating whether the auditory brainstem response (ABR) to natural continuous speech is modulated by selective attention. Participants listened to narrated audiobooks under diotic, dichotic, and passive listening conditions while cortical and subcortical EEG responses were simultaneously recorded. The dataset supports the study by Stoll et al. (2025) published in PLOS Biology, examining subcortical and cortical processing of attended versus unattended speech.

Participants

66

Channels

32 (10-10)

Citations

1

Size

103 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from 33 participants who completed counterbalanced visual and auditory surprise tasks designed to probe electrophysiological markers of surprise-induced failures of perceptual awareness. The data support an ongoing study by Leong et al. examining how unexpected stimuli disrupt conscious awareness across sensory modalities. Some participants' data are incomplete due to exclusion at various analysis stages.

Participants

33

Channels

16 (10-20)

Size

535 MB

Version

v1.0.0

Updated

Aug 19, 2026

This BIDS example dataset contains intracranial EEG (iEEG) recordings from a single subject collected during clinical photic stimulation at Mayo Clinic. It demonstrates the use of the HED-SCORE (Standardized Computer-based Organized Reporting of EEG) schema library for annotating events in a machine-readable, BIDS- and HED-validated format, supporting standardized event annotation practices in EEG/iEEG research.

Participants

1

Citations

2

HED

vscore_2.0.0

Size

32.0 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains physiological EEG recordings organized according to the BIDS standard, focused on capturing motion-related artifacts during EEG acquisition. It is derived from a source OpenNeuro dataset and formatted using MNE-BIDS tools to facilitate reproducible analysis of physiological artifacts in EEG signals.

Participants

30

Channels

59 (10-10)

Citations

1

Size

36.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains electroencephalography (EEG) recordings from a study investigating how expectation modulates repetition suppression of neural responses to nociceptive (pain-related) stimuli. It provides raw EEG data organized in BIDS format, intended to support analyses of expectation effects on cortical processing of repeated nociceptive stimulation.

Participants

36

Channels

32 (10-10)

Size

42.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from Experiment 2 of a study investigating memory reactivation under anticipated interference, using a working memory task with lateralized visual objects and dual-task distractor manipulations. Participants memorized cued objects, performed a secondary distractor identification task in some blocks, and were subsequently tested on their memory via a two-alternative forced-choice probe. The dataset is intended to examine how anticipated interference affects neural memory reactivation processes.

Participants

56

Channels

30 (10-10)

Size

40.1 GB

Version

v1.0.0

Updated

Aug 19, 2026