five

Loggers affect the foraging behaviour and fitness of European shags

收藏
DataONE2025-10-21 更新2025-11-01 收录
下载链接:
https://search.dataone.org/view/sha256:bdd61c64ea626f32c1e683ba7fafa4904d74c9031e6730323e8a860b8a572f16
下载链接
链接失效反馈
官方服务:
资源简介:
Biologgers enable real-time collection of detailed behavioural and physiological data from wide-ranging animals, including seabirds inhabiting remote regions. However, the number of studies using tracking devices has not been matched by research exploring the behavioural and fitness costs of deployment, and the effects on data reliability. We assessed how GPS loggers, video loggers, and time depth recorders (TDRs) affect the behaviour, physiology, and reproductive performance of European shags (Gulosus aristotelis) breeding on Sklinna, Norway. The loggers varied in mass, attachment location, and deployment duration, allowing comparison of their relative effects. Birds without loggers served as controls to assess logger-related changes in adult body mass, chick growth, reproductive success, and survival. Birds with long-term tail-mounted GPS loggers and leg-mounted TDRs showed altered foraging behaviour, including shorter trips and dives, compared to birds with tail-mounted GPS and TDRs ..., , # Loggers affect the foraging behaviour and fitness of European shags Dataset DOI: [10.5061/dryad.2z34tmq07](https://doi.org/10.5061/dryad.2z34tmq07) ## Description of the data and file structure Below are the definitions of each variable included in the six datasets used for the analysis in our paper *“Loggers affect the foraging behaviour and fitness of European shags.”* These descriptions are provided to aid correct interpretation and reuse of the data. **1. Foraging behaviour (dataset: Foraging_trip.csv)** | **Variable** | **Definition** | | :----------- | :--------------------------------------------- | | trip\_id | Unique ID for each recorded foraging trip | | sex | Male or Female | | year | Year | | TripComp | Trip completed | | N | Number of GPS locations | | maxdist | M...,
创建时间:
2025-10-22
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