The data set includes the digital image correlation of 16 dextral strike-slip experiments performed at the University of Massachusetts at Amherst (USA). The DIC data sets were used for a machine learn
本数据集包含研究“断层几何复杂性对地表破裂长度影响”所需的全部数据,涵盖FDHI数据库(Sarmiento et al., 2021)的引用数据及项目生成数据,包括断层几何特征、区域断层地图、事件破裂带、ECS参考线等空间数据和属性数据,用于支持相关分析脚本运行。 FDHI数据库(Sarmiento et al., 2021)、论文“The influence of fault geometric
Deep foundation pit settlement prediction based on machine learning is widely used for ensuring the safety of construction, but previous studies are limited to not fully considering the spatial correl
This is an updated version of LDCmgm90, which has assimilated CSR RL06 mascon and GSFC SLR degree-2 Stokes coefficients besides all the data sets used in the previous version (see https://www.nature.c