About EMOTE

EMOTE (Everyday Measures of Temporal Emotions) is an open-access, searchable, and cumulative database of experience sampling data on daily emotional functioning, developed by the FEEL Lab. Experience sampling methods allow us to capture personally meaningful events that can't be recreated in the lab, to map dynamic fluctuations in emotional processes across time, and to study how these processes contribute to psychological well-being. However, conducting experience sampling studies is costly, time-intensive, and requires expertise. To reduce the barriers to using experience sampling data, and to harness its full scientific potential, we have built EMOTE.

About Database

The EMOTE Database is an open-access, searchable, and cumulative repository of experience sampling data on daily emotional functioning. Experience sampling methods (also known as ecological momentary assessment) involve sampling human experiences in real time (or close to it) across multiple measurement occasions across the course of daily life. These methods allow us to capture personally meaningful events that cannot be recreated in the lab, to map dynamic fluctuations in emotional processes across time, and to study how these processes contribute to psychological well-being. However, conducting experience sampling studies is costly, time-intensive, and requires expertise. The database aims to reduce the barriers to using experience sampling data, and to harness its full scientific potential.

You can use the EMOTE Database to request data for your own projects, or you can share data with us to grow the repository. Please read our FAQ page to learn more about how EMOTE works.

How to use, cite, and share data on EMOTE

  • To cite EMOTE, please use the following citation: Kalokerinos, E. K., Russo-Batterham, D., Grewal, K. K., Moeck, E. K., Wilson, E., Smith, I., Greenaway, K. H., Garrett, P., Shrestha, K. M., Kuppens, P., & Koval, P. (2026). The EMOTE Database: An open, searchable database of experience sampling data mapping everyday emotion processes. PsyArXiv. https://osf.io/preprints/psyarxiv/h7kxd_v1/
  • For the citations to use for each dataset you have requested, please see the datasets page.
  • In publications, please include your data request number that you receive when requesting data from EMOTE. This allows readers to request your data for replication.
  • Do not post the data outside the EMOTE database. If you need to share data for peer review, direct reviewers to request the data using your data request number.
  • Store these data in a secure encrypted location and do not use them for anything other than the project outlined on your data request form.

How is EMOTE a trusted data repository?

The 4 essential criteria of a trusted data repository are:

  • Long-term preservation and back-up strategy - a viable plan to protect and maintain files in the short and long term.

    The ongoing maintenance of EMOTE is funded directly by the University of Melbourne and KU Leuven. The data is housed on University of Melbourne research computing infrastructure, which is funded in perpetuity. Manual backups via Mediaflux servers are funded by the University of Melbourne. Automated backups via Amazon S3 are funded by the University of Melbourne and the KU Leuven Research Group of Quantitative Psychology and Individual Differences. Administration is led by the Melbourne Data Analytics Platform, an independent entity funded in perpetuity by the University of Melbourne.

  • File immutability - the ability to create versions of files that cannot be deleted or modified (except in exceptional circumstances).

    Files are immutable to users, including both data requesters and uploaders. Only admin team members can make changes to the data, with administrative access controlled by the Melbourne Data Analytics Platform. These changes are publicly available in a change log attached to individual datasets, with annotations of who made the changes, when, and what changed.

  • Link stability - the ability to link to files using stable and persistent identifiers.

    Stable and persistent identifiers of data requests are provided through unique request IDs. Links to data are permalinks and each permalink is linked to both the manual and automated backup systems.

  • Credibility - the platform should be owned and managed by a credible third party.

    EMOTE is hosted and managed by the Melbourne Data Analytics Platform, who has data stewardship. The Melbourne Data Analytics Platform is an independent entity funded in perpetuity by the University of Melbourne, ensuring credible third-party oversight.

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About Team

The EMOTE Database is an initiative of the Functions of Emotion in Everyday Life (FEEL) Lab and the Melbourne Data Analytics Platform (MDAP), both at the University of Melbourne, as well as the Research Group of Quantitative Psychology and Individual Differences at KU Leuven.

FEEL Lab

The FEEL Lab, based within the Melbourne School of Psychological Sciences at the University of Melbourne, aims to discover how emotions function in rich and complex daily life environments.

Elise is an Associate Professor at the University of Melbourne and the co-director of the Functions of Emotion in Everyday Life (FEEL) Lab. Her research investigates emotion and emotion regulation in everyday life, using experience-sampling to map emotional experiences as they unfold across time. With these dynamic data, she maps the processes that enable real-world emotion regulation, including emotion differentiation, regulatory flexibility, and motivation.

Elise Kalokerinos
Lab Co-Director

Pete is a Professor in the Melbourne School of Psychological Sciences at the University of Melbourne, where he co-directs the FEEL Lab. His research interests lie at the intersection of social, personality and clinical psychology with a focus on everyday emotional processes, including how people experience and regulate their emotions in response to everyday events, and how these processes relate to well-being and psychopathology.

Peter Koval, Lab Co-Director
Lab Co-Director

Katie is a Professor and co-director of the Functions of Emotion in Everyday Life (FEEL) Lab at the University of Melbourne. Katie’s research aims to understand how people form social connections, and what benefits these connections have for people’s emotional well-being and social lives.

Katie Greenaway
Lab Co-Director

Ella is a Postdoctoral Research Fellow at The University of Adelaide. Ella researches the intersection between cognition and emotion. Using a combined experimental and everyday life approach, Ella investigates how emotion disrupts attention and memory, and how situational factors affect emotion regulation.

Ella Moeck
Postdoctoral Fellow

Komal is a Research Assistant in the FEEL Lab and a Tutor at the Melbourne School of Psychological Sciences at the University of Melbourne.

Komal Grewal
Research Assistant

Imogen is a Research Assistant in the FEEL Lab at the Melbourne School of Psychological Sciences at the University of Melbourne.

Imogen Smith
Research Assistant

Jugyeong is a Software Engineer and Research Assistant in the FEEL Lab at the University of Melbourne developing the EMOTE database website.

Jugyeong Kim
Software Engineer & Research Assistant

Paul is a Postdoctoral Research Fellow at the University of Melbourne. His research focuses on causal models of complex human behaviors, such as the causal relationships between our everyday interactions with others and our emotions, attitudes, and behaviors.

Paul Garrett
Postdoctoral Fellow

Melbourne Data Analytics Platform (MDAP)

MDAP is a team of Research Data Specialists at the University of Melbourne working to enable data-intensive research across disciplines.

Daniel has worked on Digital Humanities projects across Australia and abroad. He has a background in python, data wrangling, relational database design, web scraping, quantitative methods, natural language processing, and a broad range of approaches to visualisation.

Daniel Russo-Batterham
Research Data Specialist

With a background in Classics and Archaeology, Aleksandra collaborates with researchers on research methodology, data collection, analysis, preservation, sustainability, interoperability, security and sharing.

Aleksandra Michalewicz
Research Data Specialist

Jonathan is an Environmental scientist and Research Data Specialist who is keen on using technology and novel uses of data to help address environmental issues and communicate research to a broad audience. He believes that in order to push the field you need to be thinking of novel interesting ways to subset, combine, process, and visualize data.

Jonathan Garber
Research Data Specialist

Kabir is a software developer with solid understanding of the programming paradigm and deep interests in extracting knowledge from data and using machine learning techniques to solve real world problems. He works with Natural Language and Deep Learning problems, particularly around Human Arts and Social Sciences.

Kabir Manandhar Shrestha
Research Data Specialist

Research Group of Quantitative Psychology and Individual Differences

The Research Group of Quantitative Psychology and Individual Differences is a hybrid group combining the empirical and theoretical study of emotion with the formal study of statistical and methodological issues.

Peter is full professor of psychology at KU Leuven-University of Leuven, Belgium. His research is focused on improving the measurement and our understanding of the nature of emotional experiences in daily life, how they change across time, and how they relate to well-being and mood disorders.

Peter Kuppens

Acknowledgment

Data owners

Natasha Bailen (Washington University in St Louis)

Brock Bastian (University of Melbourne)

Egon Dejonckheere (KU Leuven)

Yasemin Erbas (Tilburg University)

John Gleeson (ACU)

Caitlin Grace (ACU)

Katleen van der Gucht (KU Leuven)

Tony Gutentag (Hebrew University of Jerusalem)

Simon Haines (La Trobe University)

Jordan Hinton (ACU)

Elise Holland (University of Melbourne)

Tom Hollenstein (Queen’s University)

Marlies Houben (KU Leuven)

Izelle Labuschagne (ACU)

Jozefien de Leersnyder (KU Leuven)

Hayley Medland (University of Melbourne)

Batja Mesquita (KU Leuven)

Sean Murphy (University of Melbourne)

Madeline Pe (KU Leuven)

Julian Provenzano

Laura Sels (Ghent University)

Maya Tamir (Hebrew University of Jerusalem)

Renee Thompson (Washington University in St Louis)

Beta testers

Nerisa Dozo (University of Melbourne)

Anh Tran (University of Melbourne)