Data to support: Molecular-level carbon traits undelie the multi-dimensional fine root economics space

This data includes three files.
#66group.csv is 66 species and their clades.
#66species.cellulose.lignin.csv is the rawdata of the content of cellulose and hemicellulose, and lignin of fine roots from 66 tropical tree species.
#66species.splist.csv is 66 species and their genera and families.
#66species.traits.csv is the rawdata of all 13 traits of fine roots from 66 tropical tree species. In brief, the 13 root traits comprise four “classic” economic traits (root diameter, specific root length, root tissue density, and root nitrogen content) and 9 carbon traits, including total root carbon content and 8 molecular-level structural C traits. The molecular-level structural C traits are analyzed via solid-state 13C NMR and include alkyl C, N-alkyl/methoxy C, O-alkyl C, di-O-alkyl C, aromatic C, O-aromatic C, and carbonyl and carboxyl C, which are restricted within chemical shifts of 0-45, 45-60, 60-95, 95-110, 110-145, 145-165, and 165-210 ppm, respectively, in the 13C NMR spectra. The relative biochemical molecules are shown in the bottom table. Root structural C trait diversity (H’RSC) is calculated for each species using the Shannon diversity index.
#Bergmann.TabS1.csv is the loadings in the global root economics space of Bergmann et al., 2020 (reported in Table S1 of their work).
#litrature.data.Series1.csv is the collected data from Fine-Root Ecology Database 3.0. It includes 113 data records (75 species and 5 unknown species): root diameter (mm), cellulose content (%), and hemicellulose content (%).
#litrature.data.Series2.csv is the collected data from Fine-Root Ecology Database 3.0. It includes 315 data records (128 species and 62 unknown species): root tissue density (g cm-3; also including the root dry matter content (RDMC) data) and lignin content (%).
#Rcode.R is the R code used in this study.

本数据集包含以下文件：
1. #66group.csv：收录66个物种及其演化支（clades）。
2. #66species.cellulose.lignin.csv：包含66种热带树木细根的纤维素、半纤维素与木质素含量原始测定数据。
3. #66species.splist.csv：收录66个物种及其所属的属与科。
4. #66species.traits.csv：包含66种热带树木细根全部13项性状的原始测定数据。其中13项根系性状涵盖4项“经典”经济性状：根直径、比根长（specific root length）、根系组织密度（root tissue density）与根系氮含量，以及9项碳性状，包括根系总碳含量与8项分子级结构碳性状。
上述分子级结构碳性状通过固态13C核磁共振（solid-state 13C NMR）分析得到，分别为烷基碳（alkyl C）、N-烷基/甲氧基碳（N-alkyl/methoxy C）、氧烷基碳（O-alkyl C）、二氧烷基碳（di-O-alkyl C）、芳香碳（aromatic C）、氧芳香碳（O-aromatic C）以及羰基与羧基碳（carbonyl and carboxyl C）；各组分在13C核磁共振谱中的化学位移范围依次为0-45、45-60、60-95、95-110、110-145、145-165及165-210 ppm。相关相对生化分子信息见文末附表。
本研究针对每个物种，基于香农多样性指数（Shannon diversity index）计算得到根系结构碳性状多样性指数（H’RSC）。
5. #Bergmann.TabS1.csv：包含Bergmann等人2020年发表的全球根系经济空间载荷数据，原文见于该研究的附表S1。
6. #litrature.data.Series1.csv：数据集取自细根生态数据库3.0（Fine-Root Ecology Database 3.0），包含113条记录，涉及75个已知物种与5个未知物种，测定指标包括根直径（mm）、纤维素含量（%）与半纤维素含量（%）。
7. #litrature.data.Series2.csv：数据集同样取自细根生态数据库3.0，包含315条记录，涉及128个已知物种与62个未知物种，测定指标包括根系组织密度（g·cm⁻³，同时包含根系干物质含量（root dry matter content, RDMC）数据）与木质素含量（%）。
8. #Rcode.R：为本研究使用的R代码。