…the Dryad record states CC0-1.0 (`https://spdx.org/licenses/CC0…
…healthy individuals across different mental states. The dataset includes 34 participants (19…
EEG dataset from a reinforcement learning study of 50 healthy controls, 25 tested after a sad mood manipulation and 25 after a happy mood manipulation. Participants completed a probabilistic selection task with training and testing phases. The task was adapted from a Parkinsonism reinforcement learning paradigm, and the mood manipulation was delivered before each training block.
EEG dataset from a reinforcement learning task (probabilistic selection task, PST) performed by 50 healthy controls after either a sad or neutral mood manipulation (25 per group). The task has a training phase and a testing phase, and the mood induction took place separately beforehand. Data were collected between 2019 and 2021 at the Cognitive Rhythms and Computation Lab, University of New Mexico.
…Healthy controls (HC), First-episode Schizophrenia (FESZ), First-episode Affective Psychosis (FEAFF…
The Dataset on Emotion with Naturalistic Stimuli (DENS) contains EEG, ECG and EMG recordings from 40 participants who were emotionally stimulated with naturalistic multimedia videos. The videos provide context for the situated conceptualization of emotions. Participants gave self-assessment ratings of valence, arousal, dominance, liking, familiarity, relevance and emotion category. The dataset also includes stimuli, code for data collection, validation and pre-processing.
…Social Cognitive And Affective Neuroscience, nsaf101. doi: https://doi.org/10.1093…
[, pre-processed with bad channels and segments marked, and a 10-minute unprocessed resting-state scan from the same session. Anatomical MRIs are defaced and include co-registered fiducial coordinates.
An EEG and behavioural dataset in which participants viewed images of scenes (stairs) and rated either their aesthetic properties (beauty, complexity, interestingness) or their appropriateness for a reading or social activity. The dataset investigates cortical responses to environmental affordances and the intention to act. It includes raw EEG, behavioural ratings extracted from EEG events, and the full stimulus set with identifiable file names.