Dataset for publication: 3D Modeling of Insects for Electromagnetic Simulations

Read full text
Authors: Felipe Oliveira Ribas, Pieterjan De Boose, Maria Bouga, Antonios E. Tsagkarakis, Fani Hatjina, Menelaos C. Stavrinides, Androulla I. Varnava, Juerg Froehlich, Marco Zahner, Zoi Thanou, Anke Huss, Arno Thielens
Cited by: 0

Abstract

This dataset contains micro-CT data and CT-derived 3D models of the bumble bee Bombus terrestris used in the study “3D Modeling of Insects for Electromagnetic Simulations.” It includes reconstructed micro-CT image data of Bombus terrestris and anatomically realistic STL models derived from the CT scans and used for full-wave electromagnetic (FDTD) simulations. The 3D models represent different levels of geometric refinement and anatomical representation, including homogeneous and heterogeneous configurations (exoskeleton and internal tissue), and were used to evaluate radio-frequency electromagnetic field (RF-EMF) absorption across a wide frequency range, including the 5G mmWave band (26 GHz). The following files are included: - Bombus_Terrestris_3_E.zip: containing the micro CT imaging data - CT Scan Workflow.zip: containing the scripts to generate 3D models from the imaging data in Blender and Python - Insect Animation.zip: An animation of the bumble bee model, used for frame-per-frame determination of its RF absorption under constant exposure and the - blender files used to create it. -Insect_Model_Versions.zip: The different insect model versions studied in the paper in Blender format. This dataset was collected as part of the European Union’s Horizon-funded ETAIN (Exposure To electromAgnetic fIelds and plaNetary health) project, which has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101057216

Fields of Study & Subjects

Electromagnetic Fields and Biological Effects Electromagnetic Simulation and Numerical Methods Antenna Design and Analysis

Publication details

Journal / source
Utrecht University - Yoda
Publication date
11 March 2026
Language
EN
Document type
Dataset