10.60507/FK2/IS8YBZBömer, JonasJonasBömer0000-0003-0723-4224Institute of Sugar Beet Research, GöttingenMarks, EliasEliasMarks0000-0003-1322-9317Center for Robotics, University of BonnIspizua Yamati, Facundo RamónFacundo RamónIspizua Yamati0000-0001-5775-3554Institute of Sugar Beet Research, GöttingenStachniss, CyrillCyrillStachniss0000-0003-1173-6972Center for Robotics, University of BonnPaulus, StefanStefanPaulus0000-0003-4402-4760Institute of Sugar Beet Research, GöttingenMahlein, Anne-KatrinAnne-KatrinMahlein0000-0003-1091-3690Institute of Sugar Beet Research, Göttingenbonndata2026Agricultural SciencesComputer and Information ScienceBömer, JonasJonasBömerInstitute of Sugar Beet Research, Göttingen20212026-02-182026-07-06point clouds10.1007/s11119-026-10337-662707805178850application/ziptext/plain3.0CC BY 4.0The 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.