TY - JOUR
T1 - AnimalTraits - a curated animal trait database for body mass, metabolic rate and brain size
AU - Herberstein, Marie E.
AU - McLean, Donald James
AU - Lowe, Elizabeth
AU - Wolff, Jonas O.
AU - Khan, Md Kawsar
AU - Smith, Kaitlyn
AU - Allen, Andrew P.
AU - Bulbert, Matthew
AU - Buzatto, Bruno A.
AU - Eldridge, Mark D. B.
AU - Falster, Daniel
AU - Fernandez Winzer, Laura
AU - Griffith, Simon C.
AU - Madin, Joshua S.
AU - Narendra, Ajay
AU - Westoby, Mark
AU - Whiting, Martin J.
AU - Wright, Ian J.
AU - Carthey, Alexandra J. R.
N1 - Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2022/6/2
Y1 - 2022/6/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85131203640&partnerID=8YFLogxK
U2 - 10.1038/s41597-022-01364-9
DO - 10.1038/s41597-022-01364-9
M3 - Article
C2 - 35654905
AN - SCOPUS:85131203640
SN - 2052-4463
VL - 9
SP - 1
EP - 11
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 265
ER -