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. 

Scripts:

GEE_ExportChinaLake_SR.py and GEE_pull_functions.py are used for accessing the Landsat SR dataset from  the Google Earth Engine Platform.
Process_to_CNLakeSR.py:After downloading the exported CSV files to the local directory, we can use the script to generate CNLakeSR dataset mentioned in the paper.
GEE_ERA5_grab.txt includes a GEE code link to download ERA-5 data. We also shared ERA-5 data used for our anlaysis here (ERA5_*.csv).

Datasets:

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.