Microbial growth better predicts soil carbon than carbon use efficiency

This dataset supports the manuscript “Microbial growth better predicts soil carbon than carbon use efficiency.” It includes observational data derived from global ^18O–H₂O labeling experiments and simulation results from four process-based land surface models (ORCHIDEE-CENTURY, ORCHIDEE-MIMICS, CABLE-CASA, and JULES-RothC). The data encompass microbial traits, soil carbon content, and related environmental variables used in the analyses presented in the study.本数据集为《微生物生长较碳利用效率更能预测土壤碳》的研究手稿提供数据支撑。数据集包含源自全球^18O–H₂O（氧18-水）标记实验的观测数据，以及4个基于过程的陆面模型的模拟结果：ORCHIDEE-CENTURY、ORCHIDEE-MIMICS、CABLE-CASA与JULES-RothC。数据集涵盖本研究分析中所使用的微生物性状、土壤碳含量及相关环境变量。