Dataset of MCF-NET

Dataset in "Multiple-condition fusion network for characterizing complex subsurface structures based on sparse measurements and auxiliary variable". The data set includes two-dimensional experimental case data and three-dimensional experimental case data. All data used in this study are available at Github repository (https://github.com/GS-3DMG/mcf-net-data) and have been published on Zenodo (https://doi.org/10.5281/zenodo.8260600). Accurately inferring realistic subsurface structures according to different types of geophysical observations and interpretations remains a significant challenge as the morphology controls the subsurface flow and transport behavior. Hard data and soft data are most commonly used in subsurface characterization. Among them, hard data are observations obtained from subsurface measurements. Soft data areremotely sensed geophysical information and interpretations.