DataSet2
- Participants
- 20
- Size
- 39.8 GB
- Updated
- Jun 6, 2026
Showing 10 of 530 datasets · page 51 of 53
TODO: Provide description for the dataset -- basic details about the study, possibly pointing to pre-registration (if public or embargoed)
Link to published paper for this data resource: https://rdcu.be/b57kz This collection contains data from 26 human patients who underwent electrical stimulation during functional magnetic resonance imaging (es-fMRI). The patients had medically refractory epilepsy requiring surgically implanted intracranial electrodes in cortical and subcortical locations. One or multiple contacts on these electrodes were stimulated while simultaneously recording BOLD-fMRI activity in a block design. Multiple run
The MEG files contain a channel with triggers necessary for event marking and timing. Separate event files with onsets are provided in the participant directories for completeness only; the MEG triggers should be used for actual onsets in analysis. The delay between the trigger and the visual onset of an on-screen event sent by the projector is approximately 20 ms, as estimated using a photodiode. Memory phase triggers: At the onset of a trial, the first trigger represents the category (1-8) of
Dataset: Joint EEG-fMRI recording during affective music listening. This dataset was recorded from 21 healthy adult participants viia a joint EEG-fMRI modality while they listened to a set of music stimuli chosen and generated to produce different affective (emotional) reponses. Participants self-reported their felt affective states as they listened to the music. The full experiment description can be found in our paper (Daly et.al., 2019). Data recorded in 2016 Published in 2019
0. Sections ------------ 1. Project 2. Dataset 3. Terms of Use 4. Contents 5. Method and Processing 1. PROJECT ------------ Title: Brain-Computer Music Interface for Monitoring and Inducing Affective States (BCMI-MIdAS) Dates: 2012-2017 Funding organisation: Engineering and Physical Sciences Research Council (EPSRC) Grant no.: EP/J003077/1 2. DATASET ------------ EEG data from an affective Music Brain-Computer: online real-time control. Description: This dataset accom
0. Sections ------------ 1. Project 2. Dataset 3. Terms of Use 4. Contents 5. Method and Processing 1. PROJECT ------------ Title: Brain-Computer Music Interface for Monitoring and Inducing Affective States (BCMI-MIdAS) Dates: 2012-2017 Funding organisation: Engineering and Physical Sciences Research Council (EPSRC) Grant no.: EP/J003077/1 and EP/J002135/1. 2. DATASET ------------ Title: EEG data investigating neural correlates of music-induced emotion. Description: This dataset accompanie