ReptTraits: a comprehensive dataset of ecological traits in reptiles.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
27 Feb 2024
27 Feb 2024
Historique:
received:
16
11
2023
accepted:
14
02
2024
medline:
29
2
2024
pubmed:
28
2
2024
entrez:
27
2
2024
Statut:
epublish
Résumé
Trait datasets are increasingly being used in studies investigating eco-evolutionary theory and global conservation initiatives. Reptiles are emerging as a key group for studying these questions because their traits are crucial for understanding the ability of animals to cope with environmental changes and their contributions to ecosystem processes. We collected data from earlier databases, and the primary literature to create an up-to-date dataset of reptilian traits, encompassing 40 traits from 12060 species of reptiles (Archelosauria: Crocodylia and Testudines, Rhynchocephalia, and Squamata: Amphisbaenia, Sauria, and Serpentes). The data were gathered from 1288 sources published between 1820 and 2023. The dataset includes morphological, physiological, behavioral, and life history traits, as well as information on the availability of genetic data, IUCN Red List assessments, and population trends.
Identifiants
pubmed: 38413613
doi: 10.1038/s41597-024-03079-5
pii: 10.1038/s41597-024-03079-5
pmc: PMC10899194
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
243Subventions
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 32300420
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 32030013
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 32330067
Informations de copyright
© 2024. The Author(s).
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