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Pollen atlas and identification dataset from Santa Catarina, south Brazil

Pollen references such as atlas and identification keys are remarkably rare from the Atlantic coasts of south Brazil. This dataset describes modern and fossil pollen from São Francisco do Sul Bay in the state of Santa Catarina, south Brazil. An illustrated and descriptive atlas of pollen was compile...

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Autores principales: Rodrigues, Erika, Cohen, Marcelo Cancela Lisboa, Figueiredo, Beatriz L, Liu, Kam-biu, Yao, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807819/
https://www.ncbi.nlm.nih.gov/pubmed/36605499
http://dx.doi.org/10.1016/j.dib.2022.108855
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author Rodrigues, Erika
Cohen, Marcelo Cancela Lisboa
Figueiredo, Beatriz L
Liu, Kam-biu
Yao, Qiang
author_facet Rodrigues, Erika
Cohen, Marcelo Cancela Lisboa
Figueiredo, Beatriz L
Liu, Kam-biu
Yao, Qiang
author_sort Rodrigues, Erika
collection PubMed
description Pollen references such as atlas and identification keys are remarkably rare from the Atlantic coasts of south Brazil. This dataset describes modern and fossil pollen from São Francisco do Sul Bay in the state of Santa Catarina, south Brazil. An illustrated and descriptive atlas of pollen was compiled from original and published data to facilitate the identification of various pollen taxa in sediments. We include light micrographs and descriptions of a total of 60 pollen taxa, including 3 mangrove taxa, 27 coastal woodland (restinga) taxa, and 15 rainforest taxa, and 15 herbaceous taxa. This dataset is associated with a published research article by Rodrigues et al. (2022) - Rodrigues, E., Cohen, M.C.L., Pessenda, L.C.R., França, M.C., Magalhães, E. and Yao, Q., 2022. Poleward mangrove expansion in South America coincides with MCA and CWP: A diatom, pollen, and organic geochemistry study. Quaternary Science Reviews, 288, p.107598.
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spelling pubmed-98078192023-01-04 Pollen atlas and identification dataset from Santa Catarina, south Brazil Rodrigues, Erika Cohen, Marcelo Cancela Lisboa Figueiredo, Beatriz L Liu, Kam-biu Yao, Qiang Data Brief Data Article Pollen references such as atlas and identification keys are remarkably rare from the Atlantic coasts of south Brazil. This dataset describes modern and fossil pollen from São Francisco do Sul Bay in the state of Santa Catarina, south Brazil. An illustrated and descriptive atlas of pollen was compiled from original and published data to facilitate the identification of various pollen taxa in sediments. We include light micrographs and descriptions of a total of 60 pollen taxa, including 3 mangrove taxa, 27 coastal woodland (restinga) taxa, and 15 rainforest taxa, and 15 herbaceous taxa. This dataset is associated with a published research article by Rodrigues et al. (2022) - Rodrigues, E., Cohen, M.C.L., Pessenda, L.C.R., França, M.C., Magalhães, E. and Yao, Q., 2022. Poleward mangrove expansion in South America coincides with MCA and CWP: A diatom, pollen, and organic geochemistry study. Quaternary Science Reviews, 288, p.107598. Elsevier 2022-12-25 /pmc/articles/PMC9807819/ /pubmed/36605499 http://dx.doi.org/10.1016/j.dib.2022.108855 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Rodrigues, Erika
Cohen, Marcelo Cancela Lisboa
Figueiredo, Beatriz L
Liu, Kam-biu
Yao, Qiang
Pollen atlas and identification dataset from Santa Catarina, south Brazil
title Pollen atlas and identification dataset from Santa Catarina, south Brazil
title_full Pollen atlas and identification dataset from Santa Catarina, south Brazil
title_fullStr Pollen atlas and identification dataset from Santa Catarina, south Brazil
title_full_unstemmed Pollen atlas and identification dataset from Santa Catarina, south Brazil
title_short Pollen atlas and identification dataset from Santa Catarina, south Brazil
title_sort pollen atlas and identification dataset from santa catarina, south brazil
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807819/
https://www.ncbi.nlm.nih.gov/pubmed/36605499
http://dx.doi.org/10.1016/j.dib.2022.108855
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