Supporting data for "Harnessing genetic tools for monitoring, understanding and conserving seagrasses in highly urbanized coastal areas."

The dataset presented here includes the study of ecological dynamics through environmental DNA (eDNA) and ancient DNA (aDNA) analysis. The first chapter delves into the world of eDNA, focusing on its application in monitoring recent seagrass populations. Through water and sediment sampling, the dataset explore the interplay between environmental variables and eDNA detection, shedding light on the spatial distribution of seagrass communities in intertidal habitats. The second chapter studies the past seagrass population, where the analysis of aDNA extracted from sediments provides an understanding on the presence of historical seagrass population. This dataset helps to understand the transformative potential of DNA-based methodologies on past seagrass population detection through its effectiveness and accuracy. This dataset contains the data, map, text, and figures of the project, and two files are created to separate the data of chapter 1 and 2.

本数据集涵盖了对生态动力学的研究，主要通过环境DNA（eDNA）和古代DNA（aDNA）的分析方法。首章深入探讨了eDNA的领域，专注于其在监测近期海草种群中的应用。通过水样和沉积物样本的采集，本数据集揭示了环境变量与eDNA检测之间的相互作用，为潮间带海草群落的空间分布提供了洞见。第二章节研究过去的海草种群，通过对沉积物中提取的aDNA的分析，揭示了历史海草种群的存在。该数据集有助于理解基于DNA的方法在历史海草种群检测中的变革潜力，这得益于其高效性与精确性。本数据集包含了项目的数据、地图、文本和图表，并创建了两个文件以区分第1章和第2章的数据。