Data for "Shifts, trends, and drivers of lake color across China since the 1980s"

This dataset includes data and relevant Python scripts used for investigating the shifts, trends, and drivers of lake color in China. - We first obtained the Landsat C2 SR dataset from USGS using the Google Earth Engine Platform using China_lakeExport.py and GEE_pull_functions.py. After downloading the exported CSV files to the local directory, we can concentrate all files into one file using preprocess_csv_files.py. - The dataset for the final analysis is included in Dominant_wavelength_time_series.csv; the trends from M-K analysis is included in MK_trend_wavelength.csv; - The meteorological dataset of each lake, including air temperature, wind speed, and precipitation from the ERA5 dataset, includes ERA5_*.csv here. - The annual NDVI time series of each lake in Landsat_mean_ndvi_1984_2021.csv.