LAGOS Lake nutrient, carbon and chlororphyll data to evaluate biases in lake water quality sampling practices in a 17-state region of the US

This dataset includes data for eight major limnological variables in LAGOS-NE_LIMNO v. 1.087.1 that were used to evaluate biases in lake water quality sampling and implications for macroscale research (Stanley et al. In Revision, Limnology and Oceanography). Most observations came from LAGOS-NE_LIMNO v. 1.087.1, an integrated database of lake ecosystems (Soranno et al. 2015, Soranno et al. 2017) but were supplemented with additional data from the State of New Hampshire. LAGOS-NE contains information on lakes great than or equal to 1 ha (originally derived from the U.S. Geological Survey's 2013 National Hydrography Dataset) for a 17-state region of the U.S., and a subset of the lakes has observational data on lake chemistry and productivity. Approximately 87 different sources of data were compiled for the LAGOS-NELIMNO v. 1.087.1 dataset and were mostly generated by government agencies (state, federal, tribal) and universities. In this analysis, we compiled data for eight major limnological variables (Secchi disk depth, chlorophyll, total phosphorus, total nitrogen, nitrate, ammonium, true water color, and dissolved organic carbon) and geographic characteristics of lakes (location, lake area, depth, perimeter, watershed area) to evaluate biases in different limnological properties over space and time.本数据集包含LAGOS-NE_LIMNO v. 1.087.1中的8项主要湖沼学变量数据，这些数据被用于评估湖泊水质采样偏差及其对宏观尺度研究的影响（Stanley等，已修回，*Limnology and Oceanography*）。 大部分观测数据源自LAGOS-NE_LIMNO v. 1.087.1——这是一套整合的湖泊生态系统数据库（Soranno等，2015；Soranno等，2017），同时补充了来自新罕布什尔州的额外观测数据。 LAGOS-NE涵盖美国17个州区域内面积≥1公顷的湖泊（原始数据源自美国地质调查局（U.S. Geological Survey）2013年国家水文数据集），其中部分湖泊具备湖泊化学与生产力的观测数据。 LAGOS-NE_LIMNO v. 1.087.1数据集整合了约87个不同来源的数据，这些数据主要由政府机构（州级、联邦、部落级）及高校产生。 在本次分析中，我们整合了8项主要湖沼学变量：塞氏盘透明度（Secchi disk depth）、叶绿素（chlorophyll）、总磷（total phosphorus）、总氮（total nitrogen）、硝酸盐（nitrate）、铵盐（ammonium）、水体真色（true water color）以及溶解性有机碳（dissolved organic carbon），以及湖泊地理特征（位置、湖泊面积、水深、周长、流域面积）的数据，以评估不同湖沼学属性在空间与时间维度上的采样偏差。