…True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest public…
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.
…True Tags ---- Modality: visual Type: perception Documentation ------------- Description: BigP3BCI: the largest public…
This dataset contains stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task in the epilepsy monitoring unit at Oregon Health & Science University. The data were analyzed in collaboration with the University of Oregon and were used to characterize movement-related oscillations in intracranial recordings. It is organized in BIDS format.
EEG dataset from a semantic fear conditioning task, collected to examine how awareness of stimulus contingencies shapes neural responses during fear conditioning. The recordings were used in an accompanying study by Pavlov and colleagues on contingency awareness. The data are organized in BIDS format with HED annotations.
…True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest public…
…True Tags ---- Modality: visual Type: perception Documentation ------------- Description: BigP3BCI: the largest public…
EEG dataset recorded while participants received laser-evoked pain stimuli at fixed intensities (3/3.5 J for low pain and 3.5/4 J for high pain). Each participant completed three blocks of ten stimuli, with high and low pain intensities evenly distributed within each block. After each stimulus, participants rated pain intensity on a 0-10 scale.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005131-blue…
EEG recordings from 54 community participants classified as light or heavy drinkers performing an affective-state reinforcement learning task involving alcohol imagery. The dataset supports investigation of reward-related neural responses, such as the reward positivity, in relation to drinking behavior. Data were collected between 2019 and 2021.