MUSMET - Multimodal dataset in VR

This dataset contains multimodal data acquired for the MUSMET project, which is funded under the Horizon Europe Framework Program (HORIZON) (grant agreement 101184379). For more information about the project, visit https://musmet.eu/. In this dataset, a musician’s performance was recorded in the PatchXR virtual environment. Simultaneously, EEG data was collected using the .g.tec Unicorn Hybrid Black system. The musician performed 8 pieces of music, each expressing one of four emotions: anger, sadness, happiness, and relaxation. These emotions were repeated twice in a randomized order across the sessions. The dataset is organized into 4 folders: VR MUSMET recording Happy VR MUSMET recording Sad VR MUSMET recording Relaxed VR MUSMET recording Anger Each folder contains data from two performances of the corresponding emotion, stored in subfolders labeled V1 and V2. The root folder also includes video recordings. The EEG data is provided in two open formats: BDF and CSV. Each EEG file contains 8 channels of EEG data and an empty trigger channel.