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A dataset recording joint EEG-fMRI during affective music listening

ds002725 · 7 high-confidence citations

1. Neural and physiological data from participants listening to affective music

   Ian Daly, Nicoletta Nicolaou, Duncan Williams, Faustina Hwang, Alexis Kirke, Eduardo Reck Miranda, Slawomir J. Nasuto · 2020 · Scientific Data

   Cites dataset 20 citations

2. A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning

   Stefano Cerri, Asbjørn Munk, Jakob Ambsdorf, Julia Machnio, Sebastian Nørgaard Llambias, Vardan Nersesjan, Christian Hedeager Krag, Peirong Liu, García, Pablo Rocamora, Mostafa Mehdipour Ghazi, Mikael Boesen, Michael E. Benros, Juan Eugenio Iglesias, Mads Nielsen · 2025 · arXiv (Cornell University)

   Cites dataset

3. Musical Intelligence Reproduction Archive — Results Layer (1,097 verdicts, engine-free)

   Amaç Erdem · 2026 · Zenodo (CERN European Organization for Nuclear Research)

   Cites dataset

4. Musical Intelligence — Three-cycle validation bundle (V2 ds003720 + V3 ds002725 + V4 cross-cultural pilot + V5 audit-fixed cross-cultural confirmation)

   Amaç Erdem · 2026 · Zenodo (CERN European Organization for Nuclear Research)

   Cites dataset

5. Musical Intelligence Reproduction Archive — Results Layer (1,097 verdicts, engine-free)

   Amaç Erdem · 2026 · Open MIND

   Cites dataset

6. MI Engine Outputs — Neuroimaging cache (ds002725, ds003720, ds004007, ds006583)

   Amaç Erdem · 2026 · Zenodo (CERN European Organization for Nuclear Research)

   Cites dataset

7. MI Engine Outputs — Neuroimaging cache (ds002725, ds003720, ds004007, ds006583)

   Amaç Erdem · 2026 · Zenodo (CERN European Organization for Nuclear Research)

   Cites dataset

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