Sewage released from lakeside development can introduce nutrients and micropollutants that can restructure aquatic ecosystems. Lake Baikal, the world's most ancient, biodiverse, and voluminous freshwater lake, has been experiencing localized sewage pollution from lakeside settlements. Nearby increasing filamentous algal abundance suggests benthic communities are responding to localized pollution. We surveyed 40-km of Lake Baikal's southwestern shoreline from 19 to 23 August 2015 for sewage indicators, including pharmaceuticals, personal care products, and microplastics, with colocated periphyton, macroinvertebrate, stable isotope, and fatty acid samplings. The data are structured in a tidy format (a tabular arrangement familiar to limnologists) to encourage reuse. Unique identifiers corresponding to sampling locations are retained throughout all data files to facilitate interoperability among the dataset's 150+ variables. For Lake Baikal studies, these data can support continued monitoring and research efforts. For global studies of lakes, these data can help characterize sewage prevalence and ecological consequences of anthropogenic disturbance across spatial scales.

中文翻译：

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来自贝加尔湖（西伯利亚）的同地污水污染、附生生物和底栖大型无脊椎动物群落和食物网结构的统一数据集

湖滨开发释放的污水会引入营养物质和微污染物，从而重构水生生态系统。贝加尔湖是世界上最古老、生物多样性最丰富、面积最大的淡水湖，一直受到湖滨定居点的局部污水污染。附近增加的丝状藻类丰度表明底栖生物群落正在应对局部污染。我们于 2015 年 8 月 19 日至 23 日对贝加尔湖西南海岸线 40 公里的污水指标进行了调查，包括药物、个人护理产品和微塑料，以及同地附生生物、大型无脊椎动物、稳定同位素和脂肪酸样本。数据以整齐的格式（湖沼学家熟悉的表格排列）结构化，以鼓励重复使用。与采样位置相对应的唯一标识符保留在所有数据文件中，以促进数据集 150 多个变量之间的互操作性。对于贝加尔湖的研究，这些数据可以支持持续的监测和研究工作。对于全球湖泊研究，这些数据可以帮助描述跨空间尺度的人为干扰的污水流行率和生态后果。