School of Natural Sciences, Macquarie University, Sydney, Australia.
Zoological Institute and Museum, University of Greifswald, Greifswald, Germany.
Sci Data. 2022 Jun 2;9(1):265. doi: 10.1038/s41597-022-01364-9.
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 filter 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.
特征数据库已成为生态学和进化领域大规模比较研究的重要资源。在这里，我们介绍动物特征数据库（AnimalTraits database），这是一个经过精心整理的、以标准单位表示的陆生动物体重、代谢率和大脑体积数据库，涵盖了四足动物、节肢动物、软体动物和环节动物，涉及近 2000 个物种和 1000 个属。数据库中记录的所有数据均源自其原始实证出版物，并且每条记录都包含原始度量和测量值。这允许根据需要进行后续的数据转换。我们还包含了丰富的元数据，以便用户可以对数据集进行筛选。我们提供的额外 R 脚本将帮助研究人员将标准化观测值汇总到物种级特征值中。我们的目标是免费提供此资源，保持动物特征数据库的实时性，并在未来增加更多相关特征。
