Spatio-temporal dataset for soil organic carbon density mapping across China (2000-2020)

This dataset supports the study of the spatiotemporal dynamics of soil organic carbon density and their environmental drivers in China from 2000 to 2020. It includes: SOC observations at two soil depths (0-20 cm and 0-100 cm); Environmental predictors, including static variables (e.g., soil type, texture, elevation) and dynamic variables (e.g., temperature, precipitation, Normalized Difference Vegetation Index (NDVI), land cover); Processed time-series remote sensing data; Modeling code This dataset can be used to replicate SOC models, analyze spatial heterogeneity, investigate environmental impacts, and conduct comparative or extended studies of SOC patterns. All data have been preprocessed and spatially aligned nationwide.本数据集可为2000年至2020年中国土壤有机碳密度的时空动态及其环境驱动因子的研究提供支撑。数据集包含以下内容：两种土壤深度（0-20厘米与0-100厘米）下的土壤有机碳（Soil Organic Carbon, SOC）观测数据；环境预测变量，包括静态变量（如土壤类型、土壤质地、海拔）与动态变量（如气温、降水量、归一化植被指数（Normalized Difference Vegetation Index, NDVI）、土地覆被）；预处理后的时序遥感数据以及建模代码。 本数据集可用于复刻土壤有机碳模型、分析空间异质性、探究环境因子的影响，以及开展土壤有机碳分布格局的对比或拓展研究。所有数据均已完成预处理，并实现全国范围的空间对齐。