Showing 10 of 764 datasets · page 9 of 77
This dataset contains EEG recordings collected as part of the NeuroTechs project examining STEM skills. Data were acquired using the Unicorn EEG device and converted to BIDS format, with signal values expressed in microvolts. The dataset is intended to support research on neural correlates of STEM-related cognitive processes.
This dataset contains EEG recordings from 24 pairs of participants who performed a collaborative 4-way categorisation task based on rules they agreed upon together, along with pre- and post-test sessions using the same stimuli. The study investigates whether collaborative rule learning promotes alignment of neural information between interacting brains, contributing to research on interbrain synchrony and social cognition.
The RECAP-EEG dataset provides resting-state electroencephalography recordings from 21 neurotypical undergraduate students collected before and after different study interventions (active retrieval practice, passive review, and control conditions) at the Federal University of Paraíba, Brazil. The dataset aims to support research into the neural correlates of learning, retrieval practice, and educational neuroscience. Recordings include pre- and post-intervention resting-state EEG with eyes-open and eyes-closed blocks.
This dataset comprises EEG recordings from 30 participants who performed a Multiple Object Monitoring (MOM) task, designed to investigate attentional tracking of multiple moving objects. The data were collected to examine the neural correlates underlying dynamic attention allocation and object monitoring processes. The dataset is intended for use in cognitive neuroscience research on visual attention and working memory.
This dataset contains 64-channel EEG recordings from 62 participants (31 pairs) who played a competitive, computerised version of the Rock-Paper-Scissors game across 480 games. The study investigates the neural correlates of competitive decision-making during real-time social interaction. This dataset supports research on neural decoding of strategic choices in a dyadic competitive context.
This dataset comprises EEG recordings from 27 healthy adult subjects investigating the interaction of pitch and time in music encoding using 'chimeric music' stimuli that recombine pitch contours and note onset-times from two distinct melodies. Data were collected between September and November 2023 at the University of Rochester, with participants exposed to original and chimeric monophonic music clips alongside click trains during a two-phase experiment. The dataset is formatted according to the EEG-BIDS standard and includes raw BrainVision format EEG data.
This dataset contains anonymized raw magnetoencephalography (MEG) recordings from 23 healthy adult participants performing an n-item delayed temporal reproduction task, designed to probe working memory for temporal durations. Alongside task MEG data, the dataset includes EOG and ECG recordings, digitized sensor and fiducial coordinates, a resting-state MEG recording, and individual high-resolution structural MRI scans for source reconstruction. The data support research on neural dynamics underlying working memory, auditory processing, and motor responses in the healthy adult brain.
This dataset contains EEG recordings collected from a three-electrode forehead patch device (CGX) designed to validate automated spectral sleep staging against manual polysomnography-based scoring. Each recording includes both a visual hypnogram (manual sleep stage scoring in 30-second epochs) and spectral staging derived from the forehead patch channels. The dataset supports research into simplified, wearable EEG-based sleep monitoring as an alternative to standard multi-channel polysomnography.
This dataset comprises 64-channel EEG recordings and behavioural ratings from 47 participants who read and evaluated 210 short English-language texts, including Haiku, Senryu, and non-poetic Control texts. Each text was rated on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. The dataset supports research into the neural and cognitive processes underlying aesthetic and creative engagement with poetic language, and includes resting-state EEG segments recorded before and after the experimental session.
This dataset contains 64-channel EEG recordings and behavioural ratings from 4 participants who read and evaluated English-language poetic and non-poetic texts (Haiku, Senryu, and Control). It is a supplementary companion to Poetry Assessment EEG Dataset 1, including participants whose EEG data were acquired in segmented sessions and later concatenated, excluded from primary PSD analyses but retained for completeness. The study investigates neural and psychological correlates of aesthetic appreciation, emotional response, and creativity judgments in response to poetic language.