Rensselaer Polytechnic Institute, Department of Biological Sciences, Troy, New York 12180, USA.
Patrick Center for Environmental Research, Academy of Natural Sciences of Drexel University, Philadelphia, Pennsylvania 19103, USA.
Sci Data. 2018 Apr 10;5:180059. doi: 10.1038/sdata.2018.59.
Concurrent regional and global environmental changes are affecting freshwater ecosystems. Decadal-scale data on lake ecosystems that can describe processes affected by these changes are important as multiple stressors often interact to alter the trajectory of key ecological phenomena in complex ways. Due to the practical challenges associated with long-term data collections, the majority of existing long-term data sets focus on only a small number of lakes or few response variables. Here we present physical, chemical, and biological data from 28 lakes in the Adirondack Mountains of northern New York State. These data span the period from 1994-2012 and harmonize multiple open and as-yet unpublished data sources. The dataset creation is reproducible and transparent; R code and all original files used to create the dataset are provided in an appendix. This dataset will be useful for examining ecological change in lakes undergoing multiple stressors.
同时发生的区域性和全球性环境变化正在影响淡水生态系统。具有描述受这些变化影响过程的年代际尺度的湖泊生态系统数据非常重要，因为多种胁迫因素经常以复杂的方式相互作用，改变关键生态现象的轨迹。由于与长期数据收集相关的实际挑战，大多数现有的长期数据集仅关注少数几个湖泊或少数几个响应变量。在这里，我们展示了来自纽约州北部阿迪朗达克山脉 28 个湖泊的物理、化学和生物数据。这些数据涵盖了 1994 年至 2012 年的时间段，并协调了多个开放和尚未发布的数据来源。数据集的创建是可重复和透明的；创建数据集所用的 R 代码和所有原始文件都在附录中提供。这个数据集对于研究多个胁迫因素作用下的湖泊生态变化将非常有用。
