10.60507/FK2/IS8YBZ Bömer, Jonas Jonas Bömer https://orcid.org/0000-0003-0723-4224 Institute of Sugar Beet Research, Göttingen Marks, Elias Elias Marks https://orcid.org/0000-0003-1322-9317 Center for Robotics, University of Bonn Ispizua Yamati, Facundo Ramón Facundo Ramón Ispizua Yamati https://orcid.org/0000-0001-5775-3554 Institute of Sugar Beet Research, Göttingen Stachniss, Cyrill Cyrill Stachniss https://orcid.org/0000-0003-1173-6972 Center for Robotics, University of Bonn Paulus, Stefan Stefan Paulus https://orcid.org/0000-0003-4402-4760 Institute of Sugar Beet Research, Göttingen Mahlein, Anne-Katrin Anne-Katrin Mahlein https://orcid.org/0000-0003-1091-3690 Institute of Sugar Beet Research, Göttingen bonndata 2026 Agricultural Sciences Computer and Information Science Bömer, Jonas Jonas Bömer Institute of Sugar Beet Research, Göttingen 2021 2026-02-18 2026-03-05 2026-07-06 2021-10-26/2021-12-21 point clouds;automatic morphological measurements;manual reference measurements 10.1007/S11119-026-10337-6 10.60507/FK2/IS8YBZ/MQKQ0P 10.60507/FK2/IS8YBZ/ZBDK3P 6282151021 8671 8850 6270780517 application/zip text/plain text/plain application/zip 3.0 Creative Commons Attribution 4.0 International License. The Sugar4D project introduces a publicly available, high-quality 4D plant phenotyping dataset of sugar beet plants captured with terrestrial LiDAR. It provides densely sampled, temporally consistent point cloud data with detailed, point-wise organ-level annotations that enable tracking of individual leaves across growth stages. By combining annotated 3D data with extracted morphological traits and reference measurements, the dataset aims to reduce the bottleneck of data acquisition and manual annotation, and to support the development, benchmarking, and validation of methods for spatio-temporal plant analysis, including instance segmentation, temporal registration, organ tracking, and growth-related morphological studies. Göttingen, Germany Federal Ministry of Food and Agriculture (BMEL) 28DK108C20 Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) EXC 2070 – 390732324 Federal Ministry of Research, Technology and Space (BMFTR) Robotics Institute Germany (RIG)