Geothermal Structure of Volgo–Uralia Revealed by Bayesian Inversion [dataset]

• Main Authors: Ognev, Igor, Nurgaliev, Danis
• Format: Other/Unknown Material
• Language: English
• Published: Zenodo 2022
• Subjects: Heat flow; Heat generation and transport; Numerical modelling; Inverse theory; Statistical methods; Cratons; Uralia; Antarc*; Antarctica
• Online Access: https://doi.org/10.5281/zenodo.6408900

This collection contains the dataset and the code which were used to find the thermal parameters’ lateral variations of the Volgo–Uralian subcraton through the Bayesian Markov Chain Monte Carlo (MCMC) statistical approach. The code originally was given in the analogous study of Antarctica's geo...