Dynamic and Static data in the paper "Analyzing Dominant Driving Factors of Ground Deformation in Mining Area via Multimodal Feature Fusion and Explainable Modeling"

Ground deformation at the natural resource extraction area results from the interplay of multiple anthropogenic and hydrogeological factors. Identifying the main factors and their relationship with deformation is crucial for mitigating disasters when extreme events happen. Here, we show how multimodal artificial intelligence models can disentangle the effects of dynamic and static features related to deformation in the Rhineland coalfield in Germany. The public dataset was applied in this study, as narrated above. Among them, InSAR and groundwater are time-series datasets; the rest are static datasets. These datasets are original and were used to generate the experimental dataset in this study. Detailed information can be obtained from the paper.