Data from: incR: a new R package to analyse incubation behaviour

Incubation represents a life stage of crucial importance for the optimal development of avian embryos. For most birds, incubation poses a trade-off between investing in self-maintenance and offspring care. Furthermore, incubation is affected by environmental temperatures and, therefore, will be likely impacted by climate change. Despite its relevance and readily available temperature logging methods, avian incubation research is hindered by recognised limitations in available software. In this paper, a new quantitative approach to analyse incubation behaviour is presented. This new approach is embedded in a free R package, incR. The flexibility of the R environment eases the analysis, validation and visualisation of incubation temperature data. The core algorithm in incR is validated here and it is shown that the method extracts accurate metrics of incubation behaviour (e.g. number and duration of incubation bouts). This paper also presents a suggested workflow along with detailed R code to aid the practical implementation of incR.孵卵（Incubation）是鸟类胚胎实现最优发育的关键生命阶段。对于绝大多数鸟类而言，孵卵过程需要在自我维持投入与育幼投入之间进行权衡。此外，孵卵会受到环境温度的显著影响，因此极易受到气候变化的冲击。尽管孵卵研究意义重大，且温度记录方法已较为成熟，但现有软件存在的公认局限性仍制约了鸟类孵卵相关研究的推进。本文提出了一种全新的孵卵行为定量分析方法，并将该方法集成于开源R包incR中。R语言环境的灵活性为孵卵温度数据的分析、验证与可视化提供了便捷支撑。本文验证了incR的核心算法，结果表明该方法能够精准提取孵卵行为的各项指标，例如孵卵时段的数量与持续时长。此外，本文还提供了推荐工作流程与详细R代码，以助力incR的实际落地应用。