2026-10-13T13:15:07Z https://data.mendeley.com/oai

oai:data.mendeley.com/78srfzbyz3.1 2025-11-07T10:48:59Z

Negahdari, Vahid Gravity Inversion Mendeley Data This dataset contains 28,000 synthetic subsurface density fields, for each of which the surface gravity field (computed through a linear relation) has been calculated. This dataset can be used to apply machine learning methods to estimate density from gravity measurements. Instructions: Dataset Components: • Part 1: Two-dimensional synthetic density fields representing Earth's density (Density_Train and Density_Test) • Part 2: The matrix representing the relationship between density and gravity (A). • Part 3: Resulting gravitational fields at Earth’s surface generated by subsurface density distributions (Gravity_Train and Gravity_Test) Dataset Creation Parameters: • The density fields are discretized into nxn(51x51) parts. • The matrix A, with dimensions (6n,n^2), provides a linear mapping from density to gravity. • The gravitational field on the surface is discretized into two components, vertical and horizontal, each with a size of 3×n. Machine Learning Mathematical Geophysics Samadi Bahrami, Shirin Dataset doi:10.17632/78srfzbyz3.1 oai:data.mendeley.com/78srfzbyz3.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/78srfzbyz3 2025-11-07T10:48:59Z