Cargando…

Environmental variables database from a Miocene marine stratigraphic section: A multivariate statistical analysis

The data presented here are related to the research article “Miocene Atlantic transgressive-regressive events in northeastern and offshore Patagonia: A palynological perspective” (Guler et al. 2021; https://doi.org/10.1016/j.jsames.2021.103239). A total of 60 drilled cutting samples from a 580 m-thi...

Descripción completa

Detalles Bibliográficos
Autores principales: Navarro, Edgardo L., Estebenet, M. Sol González, Guler, M. Verónica, Fuentes, Sabrina, Cuitiño, José Ignacio, Palazzesi, Luis, Panera, Juan Pablo Pérez, Barreda, Viviana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050723/
https://www.ncbi.nlm.nih.gov/pubmed/33889687
http://dx.doi.org/10.1016/j.dib.2021.106975
_version_ 1783679626364583936
author Navarro, Edgardo L.
Estebenet, M. Sol González
Guler, M. Verónica
Fuentes, Sabrina
Cuitiño, José Ignacio
Palazzesi, Luis
Panera, Juan Pablo Pérez
Barreda, Viviana
author_facet Navarro, Edgardo L.
Estebenet, M. Sol González
Guler, M. Verónica
Fuentes, Sabrina
Cuitiño, José Ignacio
Palazzesi, Luis
Panera, Juan Pablo Pérez
Barreda, Viviana
author_sort Navarro, Edgardo L.
collection PubMed
description The data presented here are related to the research article “Miocene Atlantic transgressive-regressive events in northeastern and offshore Patagonia: A palynological perspective” (Guler et al. 2021; https://doi.org/10.1016/j.jsames.2021.103239). A total of 60 drilled cutting samples from a 580 m-thick subsurface stratigraphic section (YPF.Ch.PV.es-1 borehole) in Península Valdés, Chubut Province, Argentina, collected every 10 m, were processed for palynological analysis. The quantitative data were statistically evaluated. In detail, the database contain: 1) raw palynological data – proxy data – from counting under transmitted light microscope; 2) four paleoenvironmental variables selected to conduct a multivariate analysis: terrestrial/marine ratio, acritarchs, outer neritic dinocyst taxa and warm-water dinocyst taxa; 3) transformed variables used for the Principal Component Analysis (PCA) and 4) the principal component scores obtained, stratigraphically ordered from the top to bottom of the borehole. Data from future studies in new sites combined with here presented data, can be useful to refine paleoenvironment models applied to basin analysis.
format Online
Article
Text
id pubmed-8050723
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-80507232021-04-21 Environmental variables database from a Miocene marine stratigraphic section: A multivariate statistical analysis Navarro, Edgardo L. Estebenet, M. Sol González Guler, M. Verónica Fuentes, Sabrina Cuitiño, José Ignacio Palazzesi, Luis Panera, Juan Pablo Pérez Barreda, Viviana Data Brief Data Article The data presented here are related to the research article “Miocene Atlantic transgressive-regressive events in northeastern and offshore Patagonia: A palynological perspective” (Guler et al. 2021; https://doi.org/10.1016/j.jsames.2021.103239). A total of 60 drilled cutting samples from a 580 m-thick subsurface stratigraphic section (YPF.Ch.PV.es-1 borehole) in Península Valdés, Chubut Province, Argentina, collected every 10 m, were processed for palynological analysis. The quantitative data were statistically evaluated. In detail, the database contain: 1) raw palynological data – proxy data – from counting under transmitted light microscope; 2) four paleoenvironmental variables selected to conduct a multivariate analysis: terrestrial/marine ratio, acritarchs, outer neritic dinocyst taxa and warm-water dinocyst taxa; 3) transformed variables used for the Principal Component Analysis (PCA) and 4) the principal component scores obtained, stratigraphically ordered from the top to bottom of the borehole. Data from future studies in new sites combined with here presented data, can be useful to refine paleoenvironment models applied to basin analysis. Elsevier 2021-03-18 /pmc/articles/PMC8050723/ /pubmed/33889687 http://dx.doi.org/10.1016/j.dib.2021.106975 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Navarro, Edgardo L.
Estebenet, M. Sol González
Guler, M. Verónica
Fuentes, Sabrina
Cuitiño, José Ignacio
Palazzesi, Luis
Panera, Juan Pablo Pérez
Barreda, Viviana
Environmental variables database from a Miocene marine stratigraphic section: A multivariate statistical analysis
title Environmental variables database from a Miocene marine stratigraphic section: A multivariate statistical analysis
title_full Environmental variables database from a Miocene marine stratigraphic section: A multivariate statistical analysis
title_fullStr Environmental variables database from a Miocene marine stratigraphic section: A multivariate statistical analysis
title_full_unstemmed Environmental variables database from a Miocene marine stratigraphic section: A multivariate statistical analysis
title_short Environmental variables database from a Miocene marine stratigraphic section: A multivariate statistical analysis
title_sort environmental variables database from a miocene marine stratigraphic section: a multivariate statistical analysis
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050723/
https://www.ncbi.nlm.nih.gov/pubmed/33889687
http://dx.doi.org/10.1016/j.dib.2021.106975
work_keys_str_mv AT navarroedgardol environmentalvariablesdatabasefromamiocenemarinestratigraphicsectionamultivariatestatisticalanalysis
AT estebenetmsolgonzalez environmentalvariablesdatabasefromamiocenemarinestratigraphicsectionamultivariatestatisticalanalysis
AT gulermveronica environmentalvariablesdatabasefromamiocenemarinestratigraphicsectionamultivariatestatisticalanalysis
AT fuentessabrina environmentalvariablesdatabasefromamiocenemarinestratigraphicsectionamultivariatestatisticalanalysis
AT cuitinojoseignacio environmentalvariablesdatabasefromamiocenemarinestratigraphicsectionamultivariatestatisticalanalysis
AT palazzesiluis environmentalvariablesdatabasefromamiocenemarinestratigraphicsectionamultivariatestatisticalanalysis
AT panerajuanpabloperez environmentalvariablesdatabasefromamiocenemarinestratigraphicsectionamultivariatestatisticalanalysis
AT barredaviviana environmentalvariablesdatabasefromamiocenemarinestratigraphicsectionamultivariatestatisticalanalysis