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Trait-by-species data by dataset

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DataCite Commons2025-06-01 更新2024-07-28 收录
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https://figshare.com/articles/dataset/Trait-by-species_data_by_dataset/14531787/1
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The sheets following present the trait data used for each dataset (labelled as the first author of the dataset's published source, separated by taxonomic group for the study that sampled multiple groups). Here, a row is a species and a column is a trait. The names of each trait are preceded by a four-letter code that represents the trait class within which the trait is classified (and where it was weighted accordingly in analyses). These classes (and their abbreviations) are: body dimensions (body), dispersal (disp), diet and feeding (diet), habitat and environmental preferences (habt), phenology (phen) and reproduction (repr). For macroinvertebrate datasets (the next 10 sheets), 'taxa' refers to the organism as identified in the original published study, 'database_entry' refers to the trait data entry to which the organism was matched. In all studies, 'estimation_level' is the taxonomic level from which trait data were sourced (and estimated, in cases where data were sourced at a taxonomic resolution higher than that reported in the original study). Common names are included for some studies. More detailed descriptions of traits are listed in Appendix S4 in Supporting Information, and details of trait data collection are explained in 'Data collection for traits' in the Methods section of the full text.

下文各工作表呈现了各数据集所用的性状数据(trait data),以数据集公开来源的第一作者命名;若研究采样了多个分类学类群(taxonomic group),则按类群进行区分。各工作表中,行代表物种,列代表性状。每个性状的名称前均带有四字母代码,用于标识该性状所属的性状类别,分析时也会据此对性状赋予相应权重。上述性状类别及其缩写分别为:体型维度(缩写:body)、扩散能力(缩写:disp)、食性与取食(缩写:diet)、栖息地与环境偏好(缩写:habt)、物候(缩写:phen)以及繁殖(缩写:repr)。针对大型无脊椎动物数据集(macroinvertebrate datasets,即后续10个工作表),“类群(taxa)”指原始公开研究中鉴定出的生物类群,“数据库条目(database_entry)”指该生物所匹配的性状数据条目。所有研究中的“估算层级(estimation_level)”均指获取性状数据的分类学层级;若数据获取时的分类学分辨率高于原始研究的报告值,则需据此完成数据估算。部分研究附带了生物的通用名。性状的详细说明列于补充信息(Supporting Information)的附录S4中,性状数据采集的具体细节则见于全文方法部分的“性状数据采集”一节。
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figshare
创建时间:
2021-05-03
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