Grapevine3D: A Whole-Plant Architecture Dataset of Grapevine

We present Grapevine3D, a comprehensive dataset comprising high-resolution whole-plant architectural data of grapevines grafted onto three different rootstock genotypes and collected during the early phases of vineyard establishment. Grapevine3D encompasses 3D data of 96 grapevines captured at four distinct timepoints (3, 6, 15, and 18 months after planting) during the 2023–2024 growing seasons in Geisenheim, Rheingau Valley, Germany. The dataset includes raw data files in .txt format for both above-ground (shoot and leaf) and below-ground (root) architectures, corresponding RSML files capturing root topology, and .vtp files for 3D visualization. This spatially and temporally detailed dataset enables in-depth analyses of vine growth dynamics and rootstock genotype-specific architectural traits, offering valuable insights for both conventional phenotyping studies and modeling approaches. We plan to update Grapevine3D with additional measurements such as carbohydrate analyses—and extend the dataset with architectural data from mature grapevines. By releasing this dataset, we invite fellow researchers to utilize Grapevine3D for further investigation into grapevine architecture and to contribute to the collective advancement of modeling in perennial cropping systems.本研究提出Grapevine3D数据集，这是一套涵盖嫁接到三种不同砧木基因型的葡萄全株高分辨率结构特征的综合数据集，数据采集于葡萄园建园初期阶段。Grapevine3D包含96株葡萄的3D数据，这些数据于2023-2024年生长季在德国莱茵高山谷（Rheingau Valley）盖森海姆（Geisenheim）地区采集，共设置4个采样时间点：定植后3、6、15及18个月。该数据集包含地上部（茎与叶片）和地下部（根系）结构的原始.txt格式数据、用于捕捉根系拓扑结构的RSML文件，以及用于3D可视化的.vtp格式文件。这套兼具空间与时间维度的详尽数据集，可用于深入分析葡萄生长动态及砧木基因型特异性结构特征，可为传统表型研究与建模方法提供极具价值的参考依据。 本团队计划为Grapevine3D新增碳水化合物分析等补充测量数据，并通过添加成熟葡萄植株的结构数据来扩展该数据集。通过公开本数据集，我们邀请同行研究者利用Grapevine3D开展葡萄植株结构相关的深入研究，共同推动多年生种植系统建模领域的整体发展。