Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations
Gábor Kőrösi
(Department of Computer Algorithms and Artificial Intelligence, Institute of Informatics, Faculty of Science and Informatics, University of Szeged)
Oliver Czimbalmos
(Department of Computer Algorithms and Artificial Intelligence, Institute of Informatics, Faculty of Science and Informatics, University of Szeged)
Gabriella Kekesi
(Department of Physiology, Albert Szent-Györgyi Medical School, University of Szeged)
Gyongyi Horvath
(Department of Physiology, Albert Szent-Györgyi Medical School, University of Szeged)
Journal: Scientific Data
•
• Nature Portfolio
• ISSN: 2052-4463
Abstract
Abstract We present a high-throughput behavioral dataset acquired with Ambitus, an automated reward-based corridor system that records locomotor and exploratory activities and cognitive functions after minimal handling. The collection contains 91 raw and derived variables, each measured across four consecutive trials, for 1,342 Long-Evans rats, including a triple-hit schizophrenia-like substrain (Lisket) bred through 16 generations. All data files, detailed metadata and analysis scripts are openly available on Zenodo. This resource enables longitudinal and multivariate studies of behavioral phenotypes, trans-generational effects, and strain differences, and it provides a benchmark for machine-learning-based marker discovery in rodent models.
Gábor Kőrösi, Oliver Czimbalmos, Gabriella Kekesi, et al. (2026). "Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations". Scientific Data. https://doi.org/10.1038/s41597-026-06735-0