A physical and chemical monitoring dataset of Taihu Lake from 2007 to 2015

This dataset collates the monthly physical and chemical data of eight long-term monitoring stations in Taihu Lake from 2007 to 2015 by TLLER (Taihu Laboratory for Lake Ecosystem Research, Chinese Academy of Sciences), incorporating total of 16 indicators (13,810 values), including transparency, water depth, water temperature, electrical conductivity, suspended solids, dissolved oxygen, pH, silicate, orthophosphate, nitrite nitrogen, nitrate nitrogen, ammonia nitrogen, chemical oxygen demand, total phosphorus, total nitrogen and dissolved total organic carbon.

Based on the Box-whisker plot to test the quality of data, the test results show that of the 16 indicators, the proportions of valid data for 10 indicators are over 95%, except for only one indicator whose valid data account for less than 90%. The collation and publication of this dataset can provide a data basis for exploring the characteristics of ecosystem changes in Taihu Lake, and provide scientific support for the prevention and control of eutrophication and the safety of drinking water.