Interest in winter limnology is growing rapidly, but progress is hindered by a shortage of standardized multivariate datasets on winter conditions. Addressing the winter data gap will enhance our understanding of winter ecosystem function and of lake response to environmental change. Here, we describe a dataset generated by a multi‐institutional winter sampling campaign across all five Laurentian Great Lakes and some of their connecting waters (the Great Lakes Winter Grab). The objective of Winter Grab was to characterize mid‐winter limnological conditions in the Great Lakes using standard sample collection and analysis methods. Nineteen research groups sampled 49 locations varying widely in depth and trophic status, collecting a range of limnological data. This dataset includes physical, chemical, and biological measurements. These data can be used to examine diverse aspects of Great Lakes ecosystems or integrated with winter observations from other lakes to improve understanding of winter limnology across different aquatic systems.

中文翻译：

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五大湖冬季捕捞：来自劳伦森五大湖多机构冬季采样活动的湖沼学数据


人们对冬季湖沼学的兴趣正在迅速增长，但由于缺乏关于冬季条件的标准化多变量数据集，进展受到阻碍。解决冬季数据差距将增强我们对冬季生态系统功能和湖泊对环境变化的反应的理解。在这里，我们描述了由所有五个劳伦森五大湖及其一些连接水域的多机构冬季采样活动（五大湖冬季抓取）生成的数据集。Winter Grab 的目标是使用标准样本采集和分析方法表征五大湖的隆冬湖沼条件。19 个研究小组对 49 个深度和营养状况差异很大的地点进行了采样，收集了一系列湖沼学数据。此数据集包括物理、化学和生物测量。这些数据可用于检查五大湖生态系统的各个方面，或与其他湖泊的冬季观测相结合，以提高对不同水生系统的冬季湖沼学的理解。