SINGSING is a simultaneous EEG and MEG dataset from twenty adult participants who listened to harmonic complex sounds that varied in frequency in an auditory oddball paradigm. It supports investigation of pre-attentive pitch processing at sensor and source levels, and allows comparison of EEG and MEG recordings acquired at the same time.
The Bitbrain Open Access Sleep (BOAS) dataset contains 128 nights of simultaneous recordings from a clinical polysomnography (PSG) system (Micromed Brain Quick Plus Evolution) and a wearable forehead EEG headband (Bitbrain). Recordings come from 108 adult participants drawn from the general population. Sleep stages were labeled by consensus of three expert scorers following AASM criteria, and AI-generated labels are provided for both PSG and headband data. The dataset supports validating wearable EEG against the PSG standard and developing automatic sleep scoring.
VocalMind is a stereotactic EEG (sEEG) dataset for speech decoding research in a tonal language (Mandarin Chinese). Intracranial recordings were acquired while a participant produced vocalized, mimed, and imagined speech. The data support research on speech brain-computer interfaces and neural decoding of overt and covert speech. This BIDS conversion contains one subject with three tasks corresponding to the speech modes.
Magnetoencephalography (MEG) recordings from participants listening to 16-item binary sound sequences of varying complexity, used to test a language-of-thought account of compression in human working memory. Sequences were defined by minimal description length (transition probabilities, chunking, or nested structures), and occasional deviant sounds probed participants' knowledge of each sequence. The data accompany a study reporting that MEG and fMRI responses scale with sequence complexity.
EEG recordings from 24 participants performing a meditation task. Participants were interrupted approximately every two minutes to rate their level of concentration and mind wandering. The dataset supports research on meditation, attention, and mind wandering.
SparrKULee is a repository of speech-evoked auditory EEG responses from normal-hearing native Dutch/Flemish speakers at KU Leuven, who listened to continuous speech stimuli across multiple sessions. This NEMAR re-host contains 80 of the original 85 participants, as five subjects are access-restricted at the source repository. The dataset supports research on neural speech tracking and auditory EEG decoding.
This dataset contains 64-channel EEG recordings and behavioural ratings from four participants who read and evaluated 210 short English-language texts: Haiku, Senryu, and non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. These participants' recordings were acquired in segments because of session interruptions and were concatenated during preprocessing. They are released as a companion to the main Poetry Assessment EEG Dataset 1 for completeness and transparency.
EEG recordings from participants receiving laser stimuli of calibrated intensity to evoke pain. After individual calibration to the energy level yielding an average rating of 7, each participant received 10 laser stimulations and rated pain intensity and unpleasantness on a 0-10 numeric rating scale. The dataset supports research on pain perception and related neural responses.
High-density EEG recordings from 48 infants aged 5-10 months who watched relaxing videos while seated on a caregiver's lap. The dataset supports microstate analysis of continuous infant EEG and evaluation of the reliability of microstate measures, and accompanies a tutorial on the analysis pipeline.
EEG dataset from a single healthy young adult examining how auditory, visual, and combined audio-visual stimulation entrain gamma-band brain oscillations. Gamma entrainment has been proposed as a therapeutic approach for Alzheimer's disease symptoms. The session consists of three 40-second stimulation epochs, using a 40 Hz amplitude-modulated auditory tone, a 20 Hz LED flicker, and both together.