Reference Data for "Directional shifts in vegetation responses to water availability across China"

Given that the original data are publicly available and the relevant links have already been provided in the manuscript, this dataset only supplies the procedural data. This dataset comprises: 1. The responses of kNDVI to scPDSI and SPEIs across each 5-year sliding window (θscPDSI, θSPEI03, and θSPEI06); 2. The linear trends of θscPDSI, θSPEI03, and θSPEI06; 3. The spatial distributions of regions exhibiting increased sensitivity for θscPDSI, θSPEI03, and θSPEI06, as well as areas that experienced response direction shifts. The data are stored in the ‘.zarr’ and '.nc' formats. They can be read using the Python xarray library, for example: ''' import xarray as xr data_path = '/home/Data/' SscPDSI_ = xr.open_zarr(data_path + 'θscPDSI.zarr') SscPDSI_Trend = xr.open_zarr(data_path + 'θscPDSI_Trend.nc') '''鉴于原始数据已公开且相关链接已在稿件中注明，本数据集仅提供过程性数据。 本数据集包含以下内容： 1. 各5年滑动窗口下，核化归一化差分植被指数（kNDVI）对标准化帕尔默干旱严重指数（scPDSI）与多时间尺度标准化降水蒸散指数（SPEI）的响应结果（对应参数为θscPDSI、θSPEI03及θSPEI06）； 2. θscPDSI、θSPEI03及θSPEI06的线性变化趋势； 3. θscPDSI、θSPEI03及θSPEI06响应敏感性提升区域的空间分布，以及响应方向发生偏移的区域范围。 本数据集以.zarr与.nc格式存储，可通过Python的xarray库进行读取，示例代码如下： ''' import xarray as xr data_path = '/home/Data/' SscPDSI_ = xr.open_zarr(data_path + 'θscPDSI.zarr') SscPDSI_Trend = xr.open_zarr(data_path + 'θscPDSI_Trend.nc') '''