Foliar isotopic and elemental biochemistry and leaf mass per area (LMA), Parque Natural Metropolitano, Panama, 2022

Foliar N and C isotope composition, bulk elemental N and C composition, and leaf mass per area (LMA) for leaves sampled from the Parque Natural Metropolitano (PNM), Panama, from January to April 2022 are presented. Measurements were made on leaves from 17 different tree, shrub and liana species, from sunlit canopy and understory locations on 8 vertical profiles. Full sample details and leaf area index (LAI) from the vertical profiles at PNM are also included in the data package. The aim of this measurement campaign was two-fold: to improve our understanding of the vertical variation in leaf-level water use efficiency, and to improve models which can predict leaf traits from leaf contact spectral measurements. Biochemistry data and sample metadata are presented in .csv files. The original isotopic data report, which includes details about standards and data accuracy, is provided in .xlsx format. Data and metadata meet the ESS-DIVE reporting format requirements for file level metadata (FLMD) and comma separated values (csv). The protocol details are provided as pdf documents. In addition to foliar biochemistry data reported here these samples were also used for measurement of leaf gas exchange, and leaf optical properties. These data can be linked using the unique sample ID and are provided in separate data packages (NGT0192 and NGT0193). This dataset was originally published on the NGEE Tropics Archive and is being mirrored on ESS-DIVE for long-term archival Acknowledgement: This research was supported as part of NGEE-Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under contract no. DE-SC0012704.本数据集呈现了2022年1月至4月于巴拿马大都会自然公园（Parque Natural Metropolitano, PNM）采集的叶片样本的叶片氮、碳同位素组成，全量元素氮、碳组成，以及比叶面积（leaf mass per area, LMA）。采样覆盖17种乔木、灌木与藤本植物，在8个垂直剖面的阳生冠层与林下位置采集叶片样本。数据包中同时包含完整的采样详情，以及该公园各垂直剖面的叶面积指数（leaf area index, LAI）数据。本次测量工作的目标分为两点：一是加深对叶片水平水分利用效率垂直变化规律的理解，二是优化可通过叶片接触式光谱测量预测叶片性状的模型。生物化学数据与样本元数据以逗号分隔值（comma separated values, CSV）格式存储。包含标准物质信息与数据精度详情的原始同位素数据报告以.xlsx格式提供。本数据集的数据与元数据符合ESS-DIVE针对文件级元数据（file level metadata, FLMD）与CSV格式的报告规范要求。实验方案细节以PDF（.pdf）文档形式提供。除本数据集报道的叶片生物化学数据外，这批样本还被用于叶片气体交换与叶片光学特性的测量。此类数据可通过唯一样本ID进行关联，且分别存储于独立的数据包（NGT0192与NGT0193）中。本数据集最初发布于NGEE Tropics档案馆，现镜像存档于ESS-DIVE以实现长期留存。致谢：本研究作为NGEE-Tropics项目的一部分得到资助，该项目由美国能源部科学办公室生物与环境研究局根据合同号DE-SC0012704提供支持。