StoichLife: A global dataset of plant and animal elemental content

The elemental content of life is a key trait shaping ecology and evolution, yet organismal stoichiometry has largely been studied on a case-by-case basis. This limitation has hindered our ability to identify broad patterns and mechanisms across taxa and ecosystems. To address this, we present StoichLife, a global dataset of 28,049 records from 5,876 species spanning terrestrial, freshwater, and marine realms. Compiled from published and unpublished sources, StoichLife documents elemental content and stoichiometric ratios (%C, %N, %P, C:N, C:P, and N:P) for individual plants and animals. The dataset is standardized and, where available, includes information on taxonomy, habitat, body mass (for animals), geography, and environmental conditions such as temperature, solar radiation, and nutrient availability. By providing an unprecedented breadth of organismal stoichiometry, StoichLife enables the exploration of global patterns, ecological and evolutionary drivers, and context-dependent var..., , , # StoichLife: A global dataset of plant and animal elemental content [https://doi.org/10.5061/dryad.3tx95x6r2](https://doi.org/10.5061/dryad.3tx95x6r2) ## Description of the data and file structure *Data compilation* We developed the StoichLife template structure, which contains data about elemental content and their ratios (%C, %N, %P, C: N, C:P, and N:P) alongside body size measurements, and information regarding sampling locality, country, and taxonomic affiliation (i.e., phylum, class, order, family, species or morphospecies). This template was disseminated among prospective data contributors actively sampling and analyzing plant and animal elemental content across diverse regions worldwide (between 2014 and 2022). In our endeavor, we engaged 24 researchers who contributed datasets on animals (both invertebrates and vertebrates), resulting in 50 datasets, among which some were already published (15 datasets and one dataset from two sources). Additionally, we incorporated dataset...生命的元素组成是塑造生态学与进化过程的关键特征，但生物化学计量学（organismal stoichiometry）此前大多以个案研究的方式开展。这一局限阻碍了我们在不同类群与生态系统层面识别宏观格局与内在机制的能力。为解决这一问题，本研究发布StoichLife数据集——一个涵盖陆地、淡水与海洋生境的5876个物种、共计28049条记录的全球数据集。该数据集汇集了已发表与未发表的相关数据，记录了单个动植物个体的元素组成与化学计量比（包括%C、%N、%P、C:N、C:P及N:P）。数据集经过标准化处理，若有对应信息，还包含分类学归属、生境、动物体质量、地理信息以及温度、太阳辐射、养分有效性等环境条件数据。凭借前所未有的生物化学计量学数据覆盖范围，StoichLife可为全球格局、生态与进化驱动因子以及情境依赖变异的探索提供支撑…… # StoichLife：全球动植物元素组成数据集 https://doi.org/10.5061/dryad.3tx95x6r2 ## 数据与文件结构说明 *数据汇编* 我们构建了StoichLife模板框架，其中涵盖元素组成及其比值（%C、%N、%P、C:N、C:P及N:P）、体型测量数据，以及采样地点、国家与分类学归属（即门、纲、目、科、物种或形态种）相关信息。2014年至2022年间，我们向全球范围内主动开展动植物元素组成采样分析的潜在数据贡献者分发了该模板。本次研究共征集到24位研究者贡献的动物（无脊椎动物与脊椎动物）数据集共计50份，其中15份已发表（另有1份数据集来自两个来源）。此外，我们还纳入了数据集……