Associated files for a geophysical study using spatial uncertainty as inversion constraints

The repository contains:* gravity measurements as supplied by Geoscience Australia (Geoscience Australia, 2020);* grids calculated using INLA;* inversion parameter files for Tomofast-x;* batch files to run inversion;* model mesh files in Tomofast-x format;* readme.txt describing these contents and background information.File formats are: gravity measurements – csv; grids - ERMapper.ers format; parameter files - .txt; batch files - .sh; spatial uncertainty values – .csv format with x,y,z,property; model mesh files - .txt and .csv, readme - .txtThis repository is a companion to paper published in Geophysical Journal International (see 'Related Links').Lineage: There are three data forms.1) Measurements of gravitational acceleration used in the study and obtained from Geoscience Australia (Geophysical Acquisition & Processing Section 2020. National Gravity Compilation 2019 (CSCBA). https://pid.geoscience.gov.au/dataset/ga/144786.)2) Grids produced by the R library INLA (Rue H, Martino S, Chopin N. (2009) Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations. J R Stat Soc Ser B Stat Methodol 2009;71:319–92. https://doi.org/10.1111/J.1467-9868.2008.00700.X) and https://www.r-inla.org/Inversion conducted using Tomofast-x (https://github.com/TOMOFAST/Tomofast-x).