Finite-Element Sensitivity Matrices for Fifteen Four-Plane 3D Electrical Capacitance Tomography Sensor Configurations

This dataset contains finite-element meshes and sensitivity matrices for 15 simulated four-plane three-dimensional electrical capacitance tomography (3D ECT) sensor configurations, labelled A–O. Each configuration represents a cylindrical sensor with a diameter of 150 mm and a height of 315 mm. The sensor comprises four axial electrode planes with eight electrodes per plane, giving 32 electrodes and 496 unique pairwise capacitance measurement channels. The configurations investigate changes in mesh density (A–D), electrode height and axial plane spacing (E–I), and electrode-plane rotation (J–O). The forward electrostatic models and sensitivity matrices were generated in MATLAB using an EIDORS-based 3D ECT modelling workflow coupled with Netgen. The data are stored as MATLAB v7.3/HDF5 files named `meshA.mat` through `meshO.mat`. Each file contains: - `S` – the finite-element sensitivity matrix for 496 measurement channels;- `vtx` – three-dimensional finite-element mesh vertex coordinates;- `simp` – tetrahedral element connectivity. The native meshes range from approximately 8,000 to 480,000 tetrahedral cells. These files constitute the input data for the common-basis multi-criteria evaluation described in the associated manuscript: “Common-Basis Multi-Criteria Evaluation of Three-Dimensional Electrical Capacitance Tomography Simulations”. The dataset supports reproduction of the common-grid mapping, spectral and spatial sensitivity analysis, measurement-channel subset selection, and spherical-phantom image-reconstruction experiments. The corresponding Python analysis code is available at GitHub: 3DECT_SensitivityMatrix_Analysis The dataset contains simulated numerical model data and does not contain experimental measurements or personal data.