Universidad Nacional de Córdoba (UNC), Facultad de Ciencias Exactas, Físicas y Naturales, Instituto de Ciencia y Tecnología de los Alimentos (ICTA), Córdoba, Argentina.
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Investigaciones Biológicas y Tecnológicas (IIByT, CONICET-UNC), Córdoba, Argentina.
Sci Data. 2019 Dec 3;6(1):300. doi: 10.1038/s41597-019-0299-8.
The behavioral dynamics within a social group not only could depend on individual traits and social-experience of each member, but more importantly, emerges from inter-individual interactions over time. Herein, we first present a dataset, as well as the corresponding original video recordings, of the results of 4 behavioral tests associated with fear and aggressive response performed on 106 Japanese quail. In a second stage, birds were housed with conspecifics that performed similarly in the behavioral tests in groups of 2 females and 1 male. By continuously monitoring each bird in these small social groups, we obtained time series of social and reproductive behavior, and high-resolution locomotor time series. This approach provides the opportunity to perform precise quantification of the temporal dynamics of behavior at an individual level within different social scenarios including when an individual showing continued aggressive behaviors is present. These unique datasets and videos are publicly available in Figshare and can be used in further analysis, or for comparison with existing or future data sets or mathematical models across different taxa.
群体内的行为动态不仅取决于每个成员的个体特征和社会经验,更重要的是,还源于个体间随时间的相互作用。在此,我们首先提供了一个数据集,以及相应的原始视频记录,这些记录是对 106 只日本鹌鹑进行的 4 种与恐惧和攻击反应相关的行为测试的结果。在第二阶段,将在行为测试中表现相似的同种鸟类饲养在 2 只雌性和 1 只雄性的小群体中。通过连续监测这些小社会群体中的每只鸟,我们获得了社会和繁殖行为的时间序列以及高分辨率的运动时间序列。这种方法提供了在不同社会场景下(包括当出现持续攻击行为的个体时)在个体水平上对行为的时间动态进行精确量化的机会。这些独特的数据集和视频可在 Figshare 上公开获取,并可用于进一步分析,或与不同分类单元的现有或未来数据集或数学模型进行比较。