# Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations

## TL;DR

The paper introduces a large behavioral dataset of Long-Evans rats, including a schizophrenia-like substrain, collected using an automated system and made publicly available for research.

## Contribution

The novel contribution is a high-throughput behavioral dataset for a schizophrenia-like rat substrain across multiple generations, collected with minimal handling.

## Key findings

- The dataset includes 91 behavioral variables measured across four trials for 1,342 rats.
- It enables studies on trans-generational effects and strain differences in behavior.
- The resource supports machine learning for discovering behavioral markers in rodent models.

## 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.