<b>Increased crossing of thermal stress thresholds of vegetation under global warming</b>

The data that support the findings in the paper “Increased crossing of thermal stress thresholds of vegetation under global warming”, includingFolder ‘ERA5-Land SM’: The raw data of soil moisture at the 1st-4th soil layersFolder ‘ERA5-Land temperature’: The raw data of temperatureFolder ‘NIRv.16days.MCD43C4.V6.CMG’: The raw data of MODIS NIRvFolder ‘Data for PCA analysis’: The data for principal component analysis (PCA)NIRv_GS_SA_2001_2018: the standard anomalies of growing-season NIRvTEMP_GS_SA_2001_2018: the standard anomalies of growing-season temperatureTotal_SMcontent_GS_SA_2001_2018: the standard anomalies of growing-season total soil moisture contentERA5land_correctedCMIP6temperature: the bias-corrected the growing-season temperatures based on ERA5-Land and Earth System Models (ESMs).<br>Raw datasets are available from public sources, which are used in the paper “Increased crossing of thermal stress thresholds of vegetation under global warming”These datasets include:NIRv data generated by raw data from MCD43C4 available at https://lpdaac.usgs.gov/products/mcd43c4v006/ (doi:https://doi.org/10.5067/MODIS/MCD43C4.006); ERA5-Land data available at https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land-monthly-means?tab=overview (doi: 10.24381/cds.68d2bb30); All model simulations of CMIP6 available at https://pcmdi.llnl.gov/CMIP6/. ACCESS-EMS1-5 (doi: https://doi.org/10.22033/ESGF/CMIP6.2291), EC-Earth3-Veg-LR (doi: https://doi.org/10.22033/ESGF/CMIP6.728), INM-CM4-8 (doi: https://doi.org/10.22033/ESGF/CMIP6.12321), INM-CM5-0 (doi: https://doi.org/10.22033/ESGF/CMIP6.12322), MPI-ESM1-2-LR (doi: https://doi.org/10.22033/ESGF/CMIP6.793), MPI-ESM1-2-HR (doi: https://doi.org/10.22033/ESGF/CMIP6.2450), NorESM2-LM (doi: https://doi.org/10.22033/ESGF/CMIP6.604) and NorESM2-MM (doi: https://doi.org/10.22033/ESGF/CMIP6.608).支撑论文"全球变暖下植被热胁迫阈值突破频次增加"研究结果的数据集包含如下内容： 1. 文件夹‘ERA5-Land SM’：第1至4层土壤湿度原始数据 2. 文件夹‘ERA5-Land temperature’：气温原始数据 3. 文件夹‘NIRv.16days.MCD43C4.V6.CMG’：MODIS近红外植被指数（NIRv）原始数据 4. 文件夹‘Data for PCA analysis’：主成分分析（PCA）所用数据 具体数据文件包括： - `NIRv_GS_SA_2001_2018`：2001-2018年生长季近红外植被指数（NIRv）标准化距平 - `TEMP_GS_SA_2001_2018`：2001-2018年生长季气温标准化距平 - `Total_SMcontent_GS_SA_2001_2018`：2001-2018年生长季土壤总湿度标准化距平 - `ERA5land_correctedCMIP6temperature`：基于ERA5-Land与地球系统模式（ESMs）偏差订正后的生长季气温数据 原始数据集均来自公开数据源，并已在上述论文中使用，具体数据集及获取渠道如下： 1. 由MCD43C4原始数据生成的NIRv数据，可从https://lpdaac.usgs.gov/products/mcd43c4v006/ 获取（DOI：https://doi.org/10.5067/MODIS/MCD43C4.006）； 2. ERA5-Land数据集，可从https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land-monthly-means?tab=overview 获取（DOI：10.24381/cds.68d2bb30）； 3. 所有耦合模式比较计划第六阶段（CMIP6）模型模拟数据，可从https://pcmdi.llnl.gov/CMIP6/ 获取，具体包含： - ACCESS-EMS1-5（DOI：https://doi.org/10.22033/ESGF/CMIP6.2291） - EC-Earth3-Veg-LR（DOI：https://doi.org/10.22033/ESGF/CMIP6.728） - INM-CM4-8（DOI：https://doi.org/10.22033/ESGF/CMIP6.12321） - INM-CM5-0（DOI：https://doi.org/10.22033/ESGF/CMIP6.12322） - MPI-ESM1-2-LR（DOI：https://doi.org/10.22033/ESGF/CMIP6.793） - MPI-ESM1-2-HR（DOI：https://doi.org/10.22033/ESGF/CMIP6.2450） - NorESM2-LM（DOI：https://doi.org/10.22033/ESGF/CMIP6.604） - NorESM2-MM（DOI：https://doi.org/10.22033/ESGF/CMIP6.608）

搜集汇总

背景与挑战

背景概述

该数据集支持研究全球变暖下植被热应力阈值跨越的论文，包含土壤湿度、温度和植被指数（如NIRv）的原始数据，以及用于主成分分析和气候模型校正的数据。数据集基于公开来源，如ERA5-Land和CMIP6模型，旨在分析植被生产力与极端温度事件的复合影响，适用于气候变化研究和政策评估。