Dataset for: Physics-Informed Neural Networks for Evaluating Infiltration Capacity in Nonhomogeneous Soils: Advancing Green Infrastructure Performance Monitoring

This repository contains the data used for the paper "Physics-Informed Neural Networks for Evaluating Infiltration Capacity in Nonhomogeneous Soils: Advancing Green Infrastructure Performance Monitoring"You'll find the csv files for the three simulated (Hydrus 1D) scenarios explained in the paper. These files were processed from the 'Nod_Inf.out' files to csv format.

Code can be found on https://github.com/Khadrawi/Physics-Informed-Neural-Networks-for-Evaluating-Infiltration-Capacity-in-Nonhomogeneous-Soils

本代码仓库包含论文《物理信息神经网络（Physics-Informed Neural Networks）用于评估非均质土壤入渗能力：提升绿色基础设施性能监测》所使用的全部数据。您可获取论文中阐述的三种Hydrus 1D模拟场景对应的CSV文件，此类文件均由'Nod_Inf.out'格式转换为CSV格式所得。相关代码可通过以下链接获取：https://github.com/Khadrawi/Physics-Informed-Neural-Networks-for-Evaluating-Infiltration-Capacity-in-Nonhomogeneous-Soils