Evidence map›Paper›PMID 42496189›Full record

ArticleDatabase : the journal of biological databases and curation2026

OzButterflies - a high quality open database of multispectral images and spectra of tropical to temperate Australian butterflies.

Marilia Fernandes Erickson, Hansani S S Daluwatta Galappaththige, Donald James Mclean, Diogo Jackson de Aquino Silva, Mariel Fulham, Zoe Wild, Michael B J Kelly, Christopher J Irving, Daniele Carlesso, Georgina E Binns and 11 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Database : the journal of biological databases and curation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Marilia Fernandes EricksonSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0001-7703-0900
Hansani S S Daluwatta GalappaththigeSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0001-8198-6657
Donald James McleanSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Diogo Jackson de Aquino SilvaDepartment of Physiology and Behavior, Universidade Federal do Rio Grande do Norte, Natal, RN 59078-900, Brazil.ORCID 0000-0002-0887-2001
Mariel FulhamSchool of Life and Environmental Sciences, The University of Sydney, Camperdown, NSW, 2006, Australia.
Zoe WildSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Michael B J KellySchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Christopher J IrvingSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0009-0004-4581-235X
Daniele CarlessoCentre for the Advanced Study of Collective Behaviour, University of Konstanz, 78464 Konstanz, Germany.
Georgina E BinnsSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Sanni A SilvastiSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Liisa HämäläinenSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0002-3766-915X
Louis G O'NeillSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Kiara L'HerpiniereSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Johanna MappesOrganismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Viikinkaari 1, 00790 Helsinki.
David W KikuchiDepartment of Integrative Biology, Oregon State University, Corvallis, OR 97331, United States.
Hannah M RowlandDepartment of Evolution, Ecology and Behaviour, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, L69 7ZB, UK.ORCID 0000-0002-1040-555X
Michelle PowerSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Thomas E WhiteSchool of Life and Environmental Sciences, The University of Sydney, Camperdown, NSW, 2006, Australia.ORCID 0000-0002-3976-1734
Darrell J KempSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0002-5845-5513
Marie E HerbersteinSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0001-5071-2952

Funding

Australia and Pacific Science Foundation APSF22042Australian Research Council DP220102323Australian Research Council FT170100417
6 · The paper itself

Abstract

Butterflies have been a model system for studying the evolution of colour. This is partly due to their complex patterns that reflect human-visible (VIS) and ultraviolet (UV) light, which are perceived by conspecifics and predators. Many studies have sourced data from publicly available images, but most of these images only consider the visible spectrum of light. Including the UV spectrum is crucial for fully understanding the evolution of butterfly morphology and behavioural ecology. Here we provide standardized images (VIS and UV) of over 4 000 individuals from 16 communities of Australian butterflies. These communities represent different climates and urbanization levels spanning over 2 500 km. The dataset contains at least one individual of 125 different species from five families, constituting over one quarter of Australian butterfly diversity. In addition to photographs, we provide spectral measurements of butterfly wings for at least one individual of each species and sex, and Cytochrome Oxidase subunit 1 (CO1) sequences of 1 635 individuals. All these data are accessible in Zenodo and an associated R package simplifies the download of subsets of the database. This database will be of use to evolutionary biologists and ecologists interested in a broad range of topics related to phenotypic variation.

Indexed as

ButterfliesDatabases, FactualAnimalsAustraliaElectron Transport Complex IVFemaleMaleWings, AnimalElectron Transport Complex IV

Identifiers

PMID42496189
PMCPMC13397536

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.