EVApeCognition: An 18-Year Dataset of Great Ape Cognition
- Alejandro Sánchez-Amaro
- Sonja J. Ebel van Wijk
- Carin Molenaar
- Akzira Abuova
- Lizbeth Mujica-Manrique
- Sarah M. Leisterer-Peoples
- Bret Beheim
- Luke Maurits
- Anna Albiach-Serrano
- Matthias Allritz
- Nazli Altınok
- Federica Amici
- Alice MI Auersperg
- Filippo Aureli
- Elisa Bandini
- Jochen Barth
- Leïla Benziad
- Bettina E. Bläsing
- Manuel Bohn
- Marie Bourjade
- Juliane Bräuer
- Marie-Hélène Broihanne
- Sarah F. Brosnan
- Nereida Bueno-Guerra
- Thomas Bugnyar
- David Buttelmann
- Frances Buttelmann
- Trix Cacchione
- Malinda Carpenter
- Fernando Colmenares
- Catherine Crockford
- Katherine A. Cronin
- África de las Heras
- Arianna De Marco
- Sarah E. DeTroy
- Valérie Dufour
- Shona Duguid
- Robin I. M. Dunbar
- Johanna Eckert
- Jan M. Engelmann
- Joel Fagot
- Julia Fischer
- Sofia Ingrid Fredrika Forss
- Martina Funk
- György Gergely
- Julia R. Greenberg
- Johannes Großmann
- Sebastian Grüneisen
- Marta Halina
- Daniel Hanus
2026-04-09
The study of great ape cognition offers insights into the evolutionary origins of human intelligence, but is hindered by small sample sizes and restricted access to data. To address this, we present the EVApeCognition Dataset, a publicly available resource comprising 262 experimental datasets from 150 scientific publications from the Wolfgang Köhler Primate Research Center (2004–2021) in Leipzig, Germany. Eighty-one apes participated in 150 studies, with a majority (N = 78) participating in more than one study. Publication of the dataset aims to make these unique datasets accessible for future meta-analyses and correlational analyses, helping us better understand how our great ape relatives think, learn, and behave.