five

Data to support playback experiments to female northern elephant seals

收藏
Mendeley Data2024-04-21 更新2024-06-29 收录
下载链接:
https://datadryad.org/stash/dataset/doi:10.5061/dryad.hmgqnk9h7
下载链接
链接失效反馈
官方服务:
资源简介:
Playback experiments: We tested 22 mothers during early, mid, and late lactation (weeks 1, 2, and 3) when filial pups were 7.5 ± 1.2 days, 14 ± 1.8 days, and 20.4 ± 3.2 days old. During the first season, playbacks were conducted with six untagged adult females. To avoid possible replication the following season, we selected 16 tagged individuals for participation in playback trials. Focal females were exposed to two successive treatments on each trial: one call series from her own pup that had been recorded 1 to 3 days prior, and one call series from a non-filial but similar-aged pup. The presentation order of filial and non-filial call treatments was changed between trials and balanced weekly and by individual. The non-filial pup on each trial was unfamiliar (i.e., from a distant (>85 m) harem) and selected from our call bank. PCA scores to evaluate the response strength of each mother to each treatment: Behavioural variables were pooled into a principal component analysis (PCA) with a composite score (PC1, the first principal component; [25]). We conducted separate PCAs for the longitudinal (weekly) playbacks, and the playbacks conducted 1-2 days postpartum, as these experiments involved different individuals. We used linear mixed models to determine which factors influenced behavioural responses. For the longitudinal playbacks, we used playback treatment, timing (week), and interaction between treatment and timing as fixed factors, while treatment presentation order and mother’s identity were considered random factors. No model selection took place and residuals were inspected to ensure normality of error. For the playbacks conducted 1-2 days postpartum, we used playback treatment as the fixed factor and treatment presentation order and mother’s identity as random factors.
创建时间:
2023-06-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作