Showing 10 of 755 datasets · page 20 of 76
Chisco is a Chinese imagined speech EEG dataset collected from five participants, each recorded over 5-6 sessions. The dataset includes raw EEG recordings and preprocessed data (in fif and pkl formats), along with accompanying text stimuli used to elicit imagined speech. It is intended to support research on imagined speech decoding and brain-computer interface applications using EEG signals.
This dataset comprises intracranial EEG (iEEG) recordings from 22 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing responses to 115 high-frequency cortical stimulations that evoked visual hallucinations. Each recording includes 21 seconds of iEEG data surrounding each stimulation event, with detailed annotations of stimulation parameters and 14 categories of evoked clinical visual phenomena. The dataset supports investigation of brain networks underlying stimulation-evoked visual symptoms and enables construction of symptom-related activation and connectivity maps.
This dataset comprises EEG recordings from two experiments investigating evoked responses to sounds presented at varying elevations from loudspeakers in a hemi-anechoic chamber. In Experiment I, a deviant detection paradigm was used to examine responses to changes in sound source elevation between an adapter and probe stimulus. In Experiment II, a one-back task assessed elevation discrimination via white noise adaptation and localization judgments, including a subset of subjects tested with sound localization disrupted by ear molds. The dataset also includes behavioral localization test data for most subjects.
This dataset contains EEG recordings from a Dot Probe Continuous Performance Task (DPX) examining cognitive control in individuals with acute and sub-acute mild traumatic brain injury (mTBI) compared to healthy controls. Data were collected across three longitudinal sessions spanning from 3 days to approximately 4 months post-injury, with substantial subject attrition over time. The dataset was collected between 2016-2018 at the Center for Brain Recovery and Repair, UNM Health Sciences Center, to study neural correlates of cognitive control deficits following mild brain injury.
This dataset contains OPM-MEG recordings from a face processing study conducted at the whole-brain and sensor level. The data were originally acquired using an in-house LabVIEW acquisition system and later converted to FIF format for standardized analysis. Analyses include preprocessing, decoding, representational similarity analysis (RSA), statistical testing, and Bayesian model selection.
This dataset contains EEG recordings from human infants who viewed 200 object images presented in rapid visual streams, designed to investigate early visual object processing. The data support representational similarity analyses examining neural responses to rapid serial visual presentation of objects. Accompanying code enables reproduction of preprocessing, RSA, and figures from the associated publication.
This dataset contains raw EEG recordings from participants performing a Sternberg working memory task with Russian alphabet letters presented in varying set sizes (3, 6, 9, 12, and 15 letters). Participants' Raven Progressive Standard Matrices scores are also included, allowing investigation of the relationship between working memory load and cognitive ability. The dataset supports research on encoding, retention, and retrieval processes in verbal working memory using EEG.
This dataset contains EEG recordings examining proactive selective attention across different competition contexts. It was collected to investigate how attentional preparation mechanisms adapt to varying levels of stimulus or response competition, contributing to research on cognitive control and attentional selection processes.
This EEG dataset investigates the neural dynamics of visual object coding across brain hemispheres. Object and word stimuli were rapidly presented (5Hz) in the left visual field, right visual field, or centrally, while participants engaged in an orthogonal red-target detection task. The dataset supports investigation of within- and cross-hemisphere object representation dynamics using frequency-tagging EEG paradigms.
This dataset contains stereoelectroencephalography (SEEG) electrode data collected from pediatric patients with a prior craniotomy, organized in BIDS iEEG format. Electrode coordinates are provided in individual native post-operative CT imaging space without alignment to standardized atlases. The dataset supports analysis of the safety and localization accuracy of SEEG implantation in this pediatric surgical population.