Showing 10 of 666 datasets · page 9 of 67
This dataset contains raw EEG recordings collected under a social observation paradigm, organized according to the Brain Imaging Data Structure (BIDS) standard. It is intended to support research into neural correlates of social observation behavior. The dataset was exported using bids-matlab-tools and follows HED 8.1.0 annotation conventions.
This dataset comprises high-density electroencephalography (EEG) recordings acquired during a visual stimulation task from human participants. Data were collected in a single session and organized according to the EEG-BIDS specification, with raw recordings stored in BrainVision format. The dataset provides raw, unfiltered EEG signals suitable for subsequent offline preprocessing and analysis of visual evoked responses.
This dataset contains resting-state EEG recordings collected using a 128-channel Amps 300 amplifier at the University of Oklahoma, alongside structural MRI scans acquired from the same participants. The data support investigation of whole-brain electrophysiological functional connectivity dynamics during resting-state conditions.
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.
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.
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.
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.
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.
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.
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.