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  • 标题:AnimalTraits - a curated animal trait database for body mass, metabolic rate and brain size
  • 本地全文:下载
  • 作者:Marie E.Herberstein ; Donald James McLean ; Elizabeth Lowe
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-11
  • DOI:10.1038/s41597-022-01364-9
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:trait databases have become important resources for large-scale comparative studies in ecology and evolution. Here we introduce the animaltraits database, a curated database of body mass, metabolic rate and brain size, in standardised units, for terrestrial animals. the database has broad taxonomic breadth, including tetrapods, arthropods, molluscs and annelids from almost 2000 species and 1000 genera. all data recorded in the database are sourced from their original empirical publication, and the original metrics and measurements are included with each record. this allows for subsequent data transformations as required . We have included rich metadata to allow users to flter the dataset . The additional R scripts we provide will assist researchers with aggregating standardised observations into species-level trait values. Our goals are to provide this resource without restrictions, to keep the animaltraits database current, and to grow the number of relevant traits in the future.
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