Data supporting the paper "Modelling gross primary productivity across different ecosystem types"

Data supporting the paper "Modelling gross primary productivity across different European ecosystems types: evaluating the versatility of SARIMAX, XGBoost, and LSTM using ICOS FLUXNET and Sentinel-2 Data." The zip file contains figures and supplementary information, and the input and output data described in the publication. Additionally, the individual and unified models presented in the paper also provided. A description of the files is provided in the "ReadME.txt" file.

本数据集为论文《欧洲不同生态系统类型总初级生产力（gross primary productivity）建模：利用整合碳观测系统（Integrated Carbon Observation System, ICOS）通量观测网络（FLUXNET）与哨兵二号卫星（Sentinel-2）数据评估带外生变量的季节差分自回归移动平均模型（SARIMAX）、极限梯度提升树（XGBoost）及长短期记忆网络（LSTM）的通用性》提供支撑。该压缩包包含论文中的图表与补充材料，以及论文中所述的输入与输出数据。此外，论文中提出的单一模型与集成模型也一并提供。文件的详细说明请参见"ReadME.txt"文件。