Testing Spatial and Temporal Patterns in Beta Diversity of Zooplankton Communities from Urban Ponds

This dataset includes zooplankton relative abundance and presence/absence data from 2022 and 2023, along with the associated R code used to analyze spatial and temporal beta diversity across 23 urban stormwater management (SWM) ponds. The data were collected during the summers of 2022 and 2023 from ponds located in Brampton, Ontario. The accompanying R scripts perform statistical analyses and visualizations featured in the associated manuscript, 'Testing Spatial and Temporal Patterns in Beta Diversity of Zooplankton Communities from Urban Ponds'. This dataset is intended to support reproducibility and advance future research on temporal variability in aquatic ecosystems.本数据集涵盖2022年与2023年的浮游动物（zooplankton）相对丰度及存在/缺失数据，同时配套提供了用于分析23座城市雨水管理（SWM）池塘时空β多样性（beta diversity）的R代码。上述数据于2022年及2023年夏季采集自加拿大安大略省宾顿市（Brampton）的相关池塘。随附的R脚本可执行关联论文《城市池塘浮游动物群落β多样性的时空格局检验》（原英文标题："Testing Spatial and Temporal Patterns in Beta Diversity of Zooplankton Communities from Urban Ponds"）中所载的统计分析与可视化流程。本数据集旨在支撑科研成果可重复性，并推动水生生态系统时间变异性领域的后续研究。