…to understand how Personalized smartphone notifications bias auditory salience across processing stages
This dataset contains consumer-grade 14-channel EEG (EMOTIV EPOC X) recorded from 30 sessions while participants completed eyes-open and eyes-closed baselines and listened to about 17 s of two sonic-seasoning soundscapes (jungle and deconstruct). Liking ratings and baseline-state survey items are provided in participants.tsv, with the stimulus audio and the manufacturer's contact and EEG quality signals. An EEGLAB-ready processed version of the two soundscape conditions is included as a derivative.
…is limited, potentially reducing the salience of pain-related signals. This athlete…
This dataset contains EEG recordings and hedonic (liking) ratings collected from participants exposed to sonic-seasoning soundscapes. Each participant has a combined recording with eyes-open and eyes-closed baselines followed by roughly 17 s exposures to jungle and deconstruct soundscapes. Liking ratings and baseline-state survey items are included in participants.tsv, and the stimulus audio is provided. An EEGLAB-ready processed version is provided as a derivative.
…at the highest- or lowest-salience object (DeepGaze II); the participant pressed…
Simultaneous EEG and fMRI recordings from healthy volunteers who reported their confidence in the accuracy of decisions they either committed themselves or merely observed. The dataset supports analysis of postdecisional contributions to metacognition and includes raw fMRI, BrainVision EEG, T1 anatomical scans and field maps, along with preprocessed EEG and fMRI derivatives.
EEG dataset investigating whether episodic future thinking can reduce temporal discounting. Participants described a series of personal future events and were then cued to think about these events while making intertemporal choices. They also rated the vividness of their mental imagery for each event.
This dataset contains 64-channel EEG recordings from people with and without vicarious touch experiences. Participants either felt touch to their fingers or watched matched videos of touch to another person's fingers. It was collected to test, using time-resolved multivariate pattern analysis, whether seen touch evokes neural representations that overlap with first-hand touch. Raw and processed data, code and stimuli are included.
Human electroencephalography (EEG) recordings from 80 participants who reported their attitudes on a set of sociopolitical issues and then viewed photographs of protests about those same issues. Each photo was preceded by a pie chart showing low, medium, or high social support for the issue. After each photo, participants rated their support for the protestors. The dataset supports investigation of how moral conviction and metacognitive ability shape multiple stages of information processing.
The YOTO (You Only Think Once) dataset is a human EEG resource for studying multisensory perception and mental imagery. Twenty participants completed tasks with unimodal and multimodal (visual, auditory, and combined) cues while EEG was recorded at 1000 Hz, and they gave self-reported vividness ratings of their imagery. Technical validation with event-related potentials and power spectral density analyses confirmed data reliability and distinct neural responses across stimuli, supporting research on neural decoding, perception, and cognitive modeling.