The odonate phenotypic database, a new open data resource for comparative studies of an old insect order

John T. Waller, Beatriz Willink, Maximilian Tschol, Erik I. Svensson*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


We present The Odonate Phenotypic Database (OPD): an online data resource of dragonfly and damselfly phenotypes (Insecta: Odonata). Odonata is a relatively small insect order that currently consists of about 6400 species belonging to 32 families. The database consists of multiple morphological, life-history and behavioral traits, and biogeographical information collected from literature sources. We see taxon-specific phenotypic databases from Odonata and other organismal groups as becoming an increasing valuable resource in comparative studies. Our database has phenotypic records for 1011 of all 6400 known odonate species. The database is accessible at, and a static version with an information file about the variables in the database is archived at Dryad.

Original languageEnglish
Article number316
JournalScientific Data
Issue number1
Publication statusPublished - 12 Dec 2019

Bibliographical note

Funding Information:
We would like to acknowledge the students and laboratory assistants that helped us to collect the data from the literature, and in particular Anna Kell, Ev Poslin, Hanna Bensch, Robin Pranter, Kajsa Svensson, Lisa Winberg, Karolina Pehrson, Mireia Balesta and Tammy Ho. We would like to also thank the many authors of the field guides from which our database references. Our database is by no means nor intends to be a substitute for these valuable books. Funding for this study have been provided by research grants from The Swedish Research Council (VR: grant no. 2016-03356), Gyllenstiernska Krapperupstiftelsen (grant no. KR2018-0038) and Olle Engqvist Byggmästares Stiftelse to E.I.S. and from a Faculty Mobility grant from the University of Costa Rica and a grant from the Schlumberger Foundation to B.W. Open access funding provided by Lund University.

Publisher Copyright:
© 2019, The Author(s).


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