Data underlying the article 'How nutrient retention and TN:TP ratios depend on ecosystem state in thousands of Chinese lakes'.

<div> <p>Here we share the data underlaying the&nbsp;publication 'How nutrient retention and TN:TP ratios depend on ecosystem<br>state in thousands of Chinese lakes' <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.scitotenv.2024.170690" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.scitotenv.2024.170690</a>.</p> </div> <div>In this study, we used data for analysis, models and R-scripts.</div> <div>The dataset contains data for the historic (2012) situation,&nbsp;and data for an economic-focused scenario and a sustainability-focused scenario for 2050.</div> <div>&nbsp;</div> <div>Raw input data originates from</div> <div>1) Climate scenario variables: HydroLAKES (Messager et al., 2016)</div> <div>2) Historic climate variables: https://doi.org/10.4121/13348004</div> <div>3) Nutrient losses to land for the SSP scenarios: Wang et al. 2020</div> <div>&nbsp;</div> <div>Model input and output data can be found in this database</div> <div>1) Simulated climate variables: folder 1</div> <div>2) Scenario specific parameter values: folder 1</div> <div>3) PCLake+ model output: folder 3</div> <div>&nbsp;</div> <div>R-scripts, as well as the used model (PCLake+), can be found in this database</div> <div>1) R-script to run PCLake+: folder 2 and 6</div> <div>2) R-script to process PCLake+ output data: folder 4</div> <div>3) PCLake+ software: folder 5: GNU LESSER GENERAL PUBLIC LICENSE, Version 3, 29 June 2007</div> <div>&nbsp;</div> <div>Data used for analysis can be found in this database</div> <div>1) ProcessedData.cvs: folder 4</div>