…Decoding auditory attention to instruments in polyphonic music using single-trial EEG…
A mobile brain/body imaging (MoBI) dataset of 18 participants walking on a treadmill at constant speed while stepping in time to an auditory tone sequence. Participants adapted step length and rate to occasional shifts in the tempo of the pacing stimulus, to a faster or slower tempo. The dataset supports study of cortical dynamics during gait adaptation.
…Active musicians were excluded from the study. ### Apparatus T1-weighted high-resolution…
…sports, music, education, profession, etc) participants engage in over their lifetime. It…
Raw magnetoencephalography (MEG) recordings from 23 healthy adults performing an n-item delayed temporal reproduction task. Participants held sequences of one or three empty auditory intervals in memory and then reproduced them by button press. The dataset also includes EOG, ECG, digitized head and electrode positions, a two-minute eyes-open resting-state recording, and individual anatomical MRI. It supports research on working memory dynamics, auditory processing, motor responses and resting activity.
EEG and behavioral dataset from a prolonged simulated driving study in which participants completed two 45-minute driving sessions with lateral perturbations and auditory cues. Cues were either random or predictive of perturbation onset. The study was designed to identify driver fatigue biomarkers from EEG and to compare them with objective driving performance measures. Data are in BIDS format and include EEG, eye tracking and vehicle logs.
EmoEEG-MC is a multi-context emotional EEG dataset containing 64-channel EEG and peripheral physiological signals (PPG and GSR) from 60 participants. Emotions were induced in two contexts, video viewing and mental imagery, and covered seven categories: joy, inspiration, tenderness, fear, disgust, sadness and neutral. The dataset is intended to support cross-context emotion decoding, and SVM baselines with L1 regularization achieved above-chance accuracy for binary and seven-category classification.
Electrocorticography (ECoG) recordings from 20 C57BL/6 mice in three cohorts: blinking light only, transcranial diagnostic ultrasound (tDUS) only, and combined tDUS with light. The dataset was collected to test how tDUS modulates the visual cortex's response to external visual stimulation. It includes raw, event-triggered, and processed ECoG data.
The "Podcast" electrocorticography (ECoG) dataset captures intracranial neural activity from 9 participants (1,330 grid, depth, and strip electrodes) who listened to a 30-minute naturalistic story containing over 5,000 words. It includes raw recordings, a minimally preprocessed high-gamma version, the auditory stimuli, an aligned word-level transcript, and linguistic features ranging from acoustic properties to large language model embeddings. Tutorials replicating prior findings are provided to support research on natural language comprehension.
Raw 64-channel EEG, ECG, PPG and behavioral recordings from 30 healthy young adults (18–32 years) during resting state and a verbal working memory digit-span task with serial recall. The resting session alternated eyes-closed and eyes-open blocks followed by passive cartoon viewing. In the working memory task, seven-digit sequences were presented visually either simultaneously or sequentially at different rates and with different inter-stimulus intervals, allowing study of how presentation mode affects neural oscillations and peripheral physiology.