Dataset and Analysis Code for Zooplankton diversity in urban ponds: the role of road salt is not reflected by watershed impervious cover

This dataset includes zooplankton abundance and environmental data, along with the associated R code for analyzing the effects of environmental stressors, such as salinity, on zooplankton diversity in urban stormwater management (SWM) ponds. Data were collected in the summer of 2022 from 50 SWM ponds in Brampton, Ontario. The dataset contains zooplankton abundance, fish presence/absence, and a range of environmental variables, including water quality, pond morphology, pond age, and watershed impervious cover. The accompanying R scripts perform statistical analyses and visualizations featured in the associated manuscript, 'Zooplankton diversity in urban ponds: The role of road salt is not reflected by watershed impervious cover'. This dataset is intended to support reproducibility and advance future research on the impacts of urbanization on aquatic ecosystems.本数据集涵盖浮游动物丰度与环境数据，以及用于分析盐度等环境胁迫因子对城市雨水管理（Stormwater Management, SWM）池塘浮游动物多样性影响的配套R代码。数据采集于2022年夏季，采集范围为加拿大安大略省布兰普顿的50处雨水管理池塘。本数据集包含浮游动物丰度、鱼类存在与缺失情况，以及水质、池塘形态、池塘建成年限、流域不透水覆盖度等一系列环境变量。配套的R脚本可完成该关联研究手稿《城市池塘浮游动物多样性：道路盐类的影响未通过流域不透水覆盖度体现》（Zooplankton diversity in urban ponds: The role of road salt is not reflected by watershed impervious cover）中涉及的统计分析与可视化工作。本数据集旨在支持研究可重复性，并推动未来关于城市化对水生生态系统影响的相关研究。