Evidence map›Paper›PMID 42756488›Full record

ArticleApplications in plant sciences2026

refloraR: An R package for efficiently retrieving and analyzing plant specimen data from the Herbário Virtual Reflora.

Carlos Calderón Del Cid, Ana Flávia Alves Versiane, Paula Leitman, Fabiana Ranzato Filardi, Rafaela Campostrini Forzza, Domingos Cardoso

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Article in Applications in plant sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Carlos Calderón Del CidUniversidade de São Paulo São Paulo São Paulo Brazil.ORCID https://orcid.org/0000-0002-3897-4615
Ana Flávia Alves VersianeJardim Botânico do Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil.ORCID https://orcid.org/0000-0001-9634-0365
Paula LeitmanJardim Botânico do Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil.ORCID https://orcid.org/0000-0002-2997-3784
Fabiana Ranzato FilardiJardim Botânico do Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil.ORCID https://orcid.org/0000-0002-0372-4325
Rafaela Campostrini ForzzaJardim Botânico do Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil.ORCID https://orcid.org/0000-0002-7035-9313
Domingos CardosoJardim Botânico do Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil.ORCID https://orcid.org/0000-0001-7072-2656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premise: Advances in the digitization of herbarium collections are enabling open access to specimen data for research and conservation. In Brazil, the Herbário Virtual Reflora (HVR) hosts over 4.8 million high-resolution images of botanical specimens and their associated data from 86 national and international herbaria. Methods and Results: To facilitate access and use of HVR data in biodiversity research, we developed the R package refloraR. This tool interacts with the HVR Integrated Publishing Toolkit (IPT) to download, parse, summarize, and filter herbarium records in Darwin Core Archive (DwC-A) and dataframes. It also retrieves occurrence records and indeterminate specimens for any hierarchical level. We provide a working example that combines the refloraR functions for quantifying indeterminate specimens as an indicator of taxonomic gaps within and among collections. Conclusions: The refloraR package supports reproducible workflows in systematics, conservation, and ecology. By enabling the efficient retrieval of specimen data, it integrates the HVR into modern biodiversity informatics and democratizes access to natural history collections.

Indexed as

biodiversity informaticsBrazilian floraherbarium collections

Identifiers

PMID42756488
PMCPMC13583462

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