Discover datasets

## Audio-Visual Attention Shift Experiment **Project name:** [Sensory processing in aging] **Years the project ran:** 2007-2008 **Brief overview of experiment task:** The purpose of this Auditory-Visual Attention Shift study was to explore the effects of aging on selective attending and responding to auditory and visual stimulus differences using an interleaved dual-oddball audio-visual task design. EEG and EOG channels were acquired. **Data collection.** Scalp EEG data were collected fr

Participants

49

Size

7.70 GB

Updated

Jun 6, 2026

Participants

20

Size

39.8 GB

Updated

Jun 6, 2026

TODO: Provide description for the dataset -- basic details about the study, possibly pointing to pre-registration (if public or embargoed)

Participants

21

Size

27.7 GB

Updated

Jun 6, 2026

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

Participants

26

Size

18.6 GB

Updated

Jun 6, 2026

Participants

23

Size

47.1 GB

Updated

Jun 6, 2026

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

Participants

21

Size

15.3 GB

Updated

Jun 6, 2026

Participants

10

Size

8.52 GB

Updated

Jun 6, 2026

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

Participants

8

Size

2.60 GB

Updated

Jun 6, 2026

Participants

19

Size

6.10 GB

Updated

Jun 6, 2026

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

Participants

31

Size

3.35 GB

Updated

Jun 6, 2026