Trained emulators from the spheroid90gp software package

This data release contains materials related to the spheroid90gp software package, including pre-trained Gaussian Process emulators and model input files. The emulators predict cavity compressibility and surface displacements produced by pressure changes in a vertical spheroidal cavity embedded in an elastic halfspace. The methodology is documented in a journal publication ("Computationally efficient emulation of spheroidal elastic deformation sources using machine learning models: a Gaussian-process-based approach" by K. R. Anderson and M. Gu.).

The first child item contains model input files and trained emulators developed for the manuscript. Additional child items may be added in the future as new emulators are developed.

Additional information may be found in the child items below.