Code and data for "Knowledge-guided machine learning captures key mechanistic pathways for better predicting growing season N2O hot-spots and hot-moments in the U.S. Midwest"

This is code and data for manuscript: "Knowledge-guided machine learning captures key mechanistic pathways for better predicting growing season N2O hot-spots and hot-moments in the U.S. Midwest"Lexuan Ye, Licheng Liu, Yufeng Yang, Ziyi Li, Wang Zhou, Bin Peng, Shaoming Xu, Vipin Kumar, Wendy H. Yang, Jinyun Tang, Zhenong Jin, Kaiyu Guan "code" folder includes code of a runnable demonstration of KGML-ag-N2O pretraining & finetuning."trained_model_saved" folder includes pretrained KGML-ag-N2O, finetuned KGML-ag-N2O and GRU models."data" folder includes data for model pretraining & finetuning for a sample dataset.