Data on the South China Sea and Xisha Islands (Chl-a, SST, Trajectories of tropical cyclones, fire points, bcaod and PAR).

Based on relevant data obtained from various types of remote sensing (Chl-a, SST, Trajectories of tropical cyclones, fire points, bcaod and PAR). The data has been used in the "Wildfire particulates enhance phytoplankton growth and alter communities in the South China Sea under wind-driven upwelling" article cited and analyzed. The data comes from multiple databases (Japan meteorological Agency, GlobColour, The NOAA's Physical Sciences Laboratory (PSL), Boulder, Colorado, USA, The CAMS Global Atmospheric Composition Predictions dataset, Fire Information for Resource Management System and NASA Prediction Of Worldwide Energy Resources).

本数据集基于从多种遥感数据源（如叶绿素a、海表温度、热带气旋轨迹、火点、BCAOD和光合有效辐射）获取的相关数据构建。该数据集已应用于《野火颗粒物增强南海风生上升流下浮游植物生长并改变群落组成》一文中，该文已进行引用与分析。数据来源于多个数据库，包括日本气象厅、GlobColour、美国科罗拉多州博尔德的NOAA物理科学实验室（PSL）、CAMS全球大气成分预测数据集、资源管理系统的火情信息以及NASA全球能源资源预测系统。