The dataset contains leaf venation architecture and functional traits for a phylogenetically diverse set of 122 plant species (including ferns, basal angiosperms, monocots, basal eudicots, asterids, and rosids) collected from the living collections of the University of California Botanical Garden at Berkeley (37.87° N, 122.23° W; CA, USA) from February to September 2021. The sampled species originated from all continents, except Antarctica, and are distributed in different growth forms (aquatic, herb, climbing, tree, shrub). The functional dataset comprises 31 traits (mechanical, hydraulic, anatomical, physiological, economical, and chemical) and describes six main leaf functional axes (hydraulic conductance, resistance and resilience to damages caused by drought and herbivory, mechanical support, and construction cost). It also describes how architecture features vary across venation networks. Our trait dataset is suitable for (1) functional and architectural characterization of plant species; (2) identification of venation architecture‐function trade‐offs; (3) investigation of evolutionary trends in leaf venation networks; and (4) mechanistic modeling of leaf function. Data are made available under the Open Data Commons Attribution License.

中文翻译：

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加州大学伯克利分校植物园 122 个物种的叶子结构和功能特性


该数据集包含从加州大学伯克利分校植物园（北纬 37.87°，西经 122.23°;CA， USA） 的 2021 年 2 月至 9 月。采样物种来自除南极洲以外的所有大陆，并以不同的生长形式分布（水生、草本、攀缘、乔木、灌木）。功能数据集包括 31 个性状（机械、液压、解剖、生理、经济和化学），并描述了六个主要叶片功能轴（水力传导、对干旱和食草造成的损害的抵抗力和恢复力、机械支撑和建设成本）。它还描述了架构特征如何随静脉网络而变化。我们的性状数据集适用于 （1） 植物物种的功能和结构表征;（2） 确定脉络结构-功能权衡;（3） 研究叶脉网络的进化趋势;（4） 叶函数的机理建模。数据在 Open Data Commons Attribution License 下提供。