There is a newer version of the record available.

Published September 29, 2025 | Version 2

OzButterflies

  • 1. ROR icon Macquarie University
  • 2. EDMO icon University of Hamburg
  • 3. ROR icon Leibniz Institute for the Analysis of Biodiversity Change

Description

OzButterflies is a valuable resource for investigating phenotypic variation and the evolution of colour in butterflies. It includes photographic, CO1 sequences and reflectance data from 16 ecological communities across Australia, spanning more than 2,500 km and encompassing a broad range of climates and levels of urbanization. The dataset covers at least one individual from 125 species across five families, representing over a quarter of Australia's known butterfly diversity.

It contains: 


•    Standardized, calibrated photographs in both visible (VIS) and ultraviolet (UV) light of over 4000 specimens, all with a scale
•    Wing spectral reflectance measurements for at least one male and one female of each species (when possible)
•    Cytochrome Oxidase I (CO1) DNA sequences in ab1 format for over 1,600 individuals

This integrated dataset contains a multitude of morphological butterfly variation that can be used by a multitude of disciplines. 

Within Zenodo, specimen data are packaged into a zip file for each genus. The database can be downloaded directly from Zenodo, or using the R package ButtR (https://github.com/DiogoJackson/ButtR). ButtR simplifies downloading and unpacking the entire database or custom subsets, e.g. all data from a single species or site.

Files

Hesperiidae_Arrhenes.zip

Files (196.6 GB)

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Additional details

Funding

Australian Research Council
Discovery Projects - Grant ID: DP220102323 DP220102323
Australian Research Council
ARC Future Fellowships - Grant ID: FT170100417 FT170100417
Australia and Pacific Science Foundation
A bio-inspired understanding of complex colour vision APSF22042

Dates

Created
2025-07-14
Request for quota increase
Submitted
2025-09-18
First commit of database
Updated
2025-09-25
Updated metadata spreadsheets to be compatible with R package