Suppr超能文献

锹甲鞘翅和腹部测量的体型大小及化学元素浓度的支持数据集和方法

Supporting dataset and methods for body sizes and concentrations of chemical elements measured in elytra and abdomens of Stag Beetles .

作者信息

Orłowski Grzegorz, Mróz Lucyna, Kadej Marcin, Smolis Adrian, Tarnawski Dariusz, Karg Jerzy, Campanaro Alessandro, Bardiani Marco, Harvey Deborah J, Méndez Marcos, Thomaes Arno, Vrezec Al, Ziomek Krzysztof, Rudecki Andrzej L, Mader Detlef

机构信息

Institute of Agricultural and Forest Environment, Polish Academy of Sciences, Bukowska 19, PL-60-809 Poznań, Poland.

Department of Ecology, Biogeochemistry and Environmental Protection, Faculty of Biological Science, University of Wrocław, Kanonia 6/8, PL-50-328 Wrocław, Poland.

出版信息

Data Brief. 2020 Jun 27;31:105935. doi: 10.1016/j.dib.2020.105935. eCollection 2020 Aug.

Abstract

The dataset presented in this data paper supports "Breaking down insect stoichiometry into chitin-based and internal elemental traits: Patterns and correlates of continent-wide intraspecific variation in the largest European saproxylic beetle" (Orłowski et al. 2020). Here we present the supplementary data and description of methods on the following: (1) mass of elytra and abdomens across 28 local Stag Beetle populations in Europe. (2) Population origin and coverage of six major land-cover types, including transport infrastructure, measured in three radii (500 m, 1000 m and 5000 m) around the sampling sites of these populations. (3) The relationship between the mass and concentrations of elements measured in abdomens and elytra in 28 Stag Beetle populations and major land-cover types around the sampling sites.

摘要

本数据论文中呈现的数据集支持“将昆虫化学计量分解为基于几丁质的和内部元素特征:欧洲最大的蛀木甲虫全大陆种内变异的模式及相关性”(奥尔沃夫斯基等人,2020年)。在此,我们展示以下补充数据及方法描述:(1)欧洲28个本地锹甲种群的鞘翅和腹部质量。(2)六个主要土地覆盖类型的种群起源及覆盖范围,包括交通基础设施,在这些种群采样点周围三个半径(500米、1000米和5000米)内进行测量。(3)28个锹甲种群腹部和鞘翅中测量的元素质量与浓度之间的关系,以及采样点周围的主要土地覆盖类型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbcc/7347950/5cf031612fa3/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验