Open data

A collection of links to all my openly available datasets. If something is missing, you can always ask.

Github

• Arthurs, Y. Lahdelma, I. Eerola, T. Pleasantness induction in music through consonance and dissonance: contrasting effect or tonal relation? https://github.com/tuomaseerola/penultimate_chord

• Lahdelma, I., Eerola, T., Ahmad, N., Clayton, M., Armitage, J., Bhattacharyya, B. & Munsamy, N. Musical expertise better predictor of tension in harmonic intervals than psychoacoustics across North and South Indian listeners. https://github.com/tuomaseerola/interval_tension

• Eerola, T. & Lahdelma I. (2024). Valenced Priming with Acquired Affective Concepts in Music: Automatic Reactions to Common Tonal Chords. Music Perception. https://github.com/tuomaseerola/cultural_priming

• Eerola, T. & Lahdelma I. (2022). Register Impacts Perceptual Consonance through Roughness and Sharpness. Psychonomic Bulletin & Review, 29, 800–808. Article link https://doi.org/10.3758/s13423-021-02033-5 and data available at https://github.com/tuomaseerola/consonance-register

• Lahdelma, I, Athanasopoulos, G. and Eerola, T. (2021). Sweetness is in the ear of the beholder: Chord preference across United Kingdom and Pakistani listeners. https://github.com/tuomaseerola/pakistan-chords

• Eerola, T., Vuoskoski, J. K., Kautiainen, H., Peltola, H.-R., Putkinen, V., & Schäfer, K. (2021). Being moved by listening to unfamiliar sad music induces reward-related hormonal changes in empathic listeners. Annals of the New York Academy of Sciences. Paper at https://doi.org/10.1111/nyas.14660 and data and code at https://github.com/tuomaseerola/sad-music-hormones

• Eerola, T. & Clayton, M. (2024). onsetsync - Analysis and Visualisation of Synchronisation of Music Onset Data. https://github.com/tuomaseerola/onsetsync

• Eerola, T. (2021). inconMore - More data for Computational Models of Simultaneous Consonance https://github.com/tuomaseerola/inconMore

• Eerola, T. (2021). Music science data. https://github.com/tuomaseerola/MusicScienceData

• Eerola, T. & Lahdelma, I. (2021). Durham Chord Dataset. https://github.com/tuomaseerola/DCD

• Eerola, T. & Lahdelma, I. (2021). The Anatomy of Consonance/Dissonance: Evaluating Acoustic and Cultural Predictors Across Multiple Datasets with Chords. https://github.com/tuomaseerola/anatomy-of-consonance

• Eerola, T., Lahdelma, I. & Armitage, J. (2021). Re-analysis of consonance and harmonicity in Friedman et al. data. https://github.com/tuomaseerola/friedman_reanalysis

• Armitage, J., Lahdelma, I. & Eerola, T. (2021). Automatic responses to musical intervals: Contrasts in acoustic roughness predict affective priming in Western listeners. Article link https://doi.org/10.1121/10.0005623 and data https://github.com/tuomaseerola/primingroughness and models https://github.com/tuomaseerola/primingroughnessdata

Zenodo

Eerola, T., & Clayton, M. (2023). tuomaseerola/onsetsync: JOSS version. In Journal of Open Source Software (v0.5.1). Zenodo. https://doi.org/10.5281/zenodo.10050346

Open Science Framework

• Link to all data at OSF
• Lahdelma, I., Athanasopoulos, G., & Eerola, T. (2021, July 9). Sweetness of Harmony is in the Ear of the Beholder: Preference of Musical Chords Across Western and Northwest Pakistani Listeners. https://osf.io/ucjqr
• Armitage, J. E., Lahdelma, I., & Eerola, T. (2021, June 28). Automatic responses to acoustically rough musical intervals. https://doi.org/10.17605/OSF.IO/ZMJPD
• Eerola, T., & Lahdelma, I. (2021, June 22). Consonance and register: A pre-registration of an empirical exploration of the impact of register on consonance. https://doi.org/10.17605/OSF.IO/76NHB
• MICALLEF-GRIMAUD, A., & Eerola, T. (2021, May 20). Emotion manipulation through music. https://osf.io/fy4h6
• Armitage, J. E., & Eerola, T. (2021, May 10). Cross-modal Transfer of Valence or Arousal from Music to Word Targets in Affective Priming? https://osf.io/qau7n
• Jakubowski, K., & Eerola, T. (2021, May 7). Autobiographical memories cued by emotional music, sounds, and words. https://osf.io/dhcjb
• Jakubowski, K., Belfi, A., & Eerola, T. (2020, December 8). Music- and television-evoked autobiographical memories from a representative UK sample. https://osf.io/t9pfb
• Eerola, T., & Lahdelma, I. (2020, October 5). Durham Chord Dataset. https://doi.org/10.17605/OSF.IO/4T9FM
• Eerola, T. (2020, July 29). Ground-truth data for selected perceptual features. https://doi.org/10.17605/OSF.IO/6WQH5
• Lahdelma, I., Eerola, T. Cultural familiarity and musical expertise impact the pleasantness of consonance/dissonance but not its perceived tension. Sci Rep 10, 8693 (2020). https://doi.org/10.1038/s41598-020-65615-8
• Eerola, T., Lahdelma, I., & Athanasopoulos, G. (2020, March 29). Emotion and Harmonisations. https://osf.io/wq4tp
• Lahdelma, I., Armitage, J. E., & Eerola, T. (2020, March 20). Affective Priming with Musical Chords is Influenced by Pitch Numerosity. https://osf.io/ghve9
• Armitage, J. E., & Eerola, T. (2020, January 8). Response Time Data in Music Cognition. https://osf.io/yhsqv
• Clayton, M., Eerola, T., Tarsitani, S., Jankowsky, R., Jure, L., Poole, A., … Jakubowski, K. (2019, December 9). Interpersonal Entrainment in Music Performance. https://doi.org/10.17605/OSF.IO/37FWS
• Eerola, T. (2019, August 29). Music and emotion stimulus sets consisting of film soundtracks. https://osf.io/p6vkg

Dataverse

• Eerola, T. (2016). Survey Data on Memorable Experiences with Sad Music – Reasons, Reactions and Mechanisms of Three Types of Experiences, https://doi.org/10.7910/DVN/GLSIXB, Harvard Dataverse, V2, UNF:6:aqANwHM/EC09RR5Mgu74Sg== [fileUNF]
• Eerola, T. & Lahdelma, I. (2016). Data related to "Mild dissonance preferred over consonance in single chord perception", https://doi.org/10.7910/DVN/GE5PPL, Harvard Dataverse, V1, UNF:6:O6SR/St+s28SinpqmhyebA== [fileUNF]
• Eerola, T. (2016). Music and emotion dataset (Primary Musical Cues), https://doi.org/10.7910/DVN/IFOBRN, Harvard Dataverse, V1, UNF:6:fot/Gayw46KLZ5DvnI+EQA== [fileUNF]
• Bannister, S. & Eerola, T. (2017). Suppressing the Chills: Self-reports, physiological and psychoacoustic correlates, https://doi.org/10.7910/DVN/IUCN1Q, Harvard Dataverse, V2, UNF:6:AYj9ilJR6eWqscWkqJ3GfQ== [fileUNF]
• Saari, P. & Eerola, T. (2013). Semantic computing of moods based on tags in social media of music, https://doi.org/10.7910/DVN/TVYEGI, Harvard Dataverse, V1.

UK Data Reshare

• Clayton, M., Eerola, T., Jakubowski, K., & Tarsitani, S. (2017). Interactions in duo improvisations. [data collection]. UK Data Service. SN: 852847, http://doi.org/10.5255/UKDA-SN-852847
• Eerola, T., & Saari, P. (2015). Moods and activities in music. [data collection]. UK Data Service. SN: 852024, http://doi.org/10.5255/UKDA-SN-852024