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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora

Participants in the publication
Romeiras, M. M. (Author)
Carine, M. (Author)
Duarte, M. C. (Author)
Dep. Biologia Vegetal
CE3C - Centro de Ecologia, Evolução e Alterações Ambientais
Catarino, S. (Author)
Dias, F. S. (Author)
Borda-de-Água, L. (Author)

Scope
International

Refereeing
Yes

Date of Publication
2020-03-13

Where published
Frontiers in Plant Science

Publication Identifiers
ISSN - 1664-462X

Publisher
Frontiers Media SA

Volume
11

Document Identifiers
DOI - https://doi.org/10.3389/fpls.2020.00278
URL - http://dx.doi.org/10.3389/fpls.2020.00278

Rankings
SCIMAGO Q1 (2019) - 1.691 - Plant Science


Export

APA
Romeiras, M. M., Carine, M., Duarte, M. C., Catarino, S., Dias, F. S. , Borda-de-Água, L., (2020). Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora. Frontiers in Plant Science, 11, ISSN 1664-462X. eISSN . http://dx.doi.org/10.3389/fpls.2020.00278

IEEE
Romeiras, M. M., Carine, M., Duarte, M. C., Catarino, S., Dias, F. S. , Borda-de-Água, L., "Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora" in Frontiers in Plant Science, vol. 11, 2020. 10.3389/fpls.2020.00278

BIBTEX
@article{44140, author = {Romeiras, M. M. and Carine, M. and Duarte, M. C. and Catarino, S. and Dias, F. S. and Borda-de-Água, L.}, title = {Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora}, journal = {Frontiers in Plant Science}, year = 2020, volume = 11 }