Body condition changes at sea: Onboard calculation and telemetry of body density in diving animals

The ability of marine mammals to accumulate sufficient lipid energy reserves is vital for mammals' survival and successful reproduction. However, long-term monitoring of at-sea changes in body condition, specifically lipid stores, has only been possible in elephant seals performing prolonged drift dives (low-density lipids alter the rates of depth change while drifting). This approach has limited applicability to other species.
Using hydrodynamic performance analysis during transit glides, we developed and validated a novel satellite-linked data logger that calculates real-time changes in body density (∝lipid stores). As gliding is ubiquitous amongst divers, the system can assess body condition in a broad array of diving animals. The tag processes high sampling-rate depth and 3-axis acceleration data to identify 5 s high pitch angle glide segments at depths >100 m. Body density is estimated for each glide using gliding speed and pitch to quantify drag versus buoyancy forces acting on..., Please refer to the published article., This repository includes the following data to replicate figures and statistics presented in the peer-reviewed publication. The data format is csv or rds. rds file can be read by readRDS function in R.
Please refer to README.md (that uses Markdown syntax) for details of each dataset.

海洋哺乳动物积累充足脂质能量储备的能力，对其生存与成功繁衍至关重要。然而，长期监测野外个体身体状况——尤其是脂质储量的变化——此前仅在进行长时漂移潜水的象海豹中得以实现：低密度脂质会改变漂移阶段的深度变化速率。该方法对其他物种的适用性极为有限。
本研究通过分析行进滑翔过程中的流体动力学性能，开发并验证了一款新型卫星关联式数据记录器（satellite-linked data logger），可实时计算身体密度（与脂质储量呈正相关）。鉴于滑翔行为在潜水动物中普遍存在，该系统能够评估多种潜水动物的身体状况。该记录器基于高采样率的深度数据与三轴加速度数据，识别出深度大于100米、高俯仰角的5秒滑翔片段。针对每一段滑翔过程，其通过滑翔速度与俯仰角量化作用于个体的阻力与浮力，进而估算身体密度……详见已发表学术论文。
本数据集仓库包含可复现该同行评议论文中图表与统计结果的全部数据，数据格式为csv或rds。其中rds文件可通过R语言的readRDS函数读取。
有关各数据集的详细信息，请参阅采用Markdown语法编写的README.md文件。