Two-dimensional correlation analysis and multivariate time series analysis as innovative tools for the study and the comparison of the hydrocarbon distributions in marine antarctic cores

Bibliographic Details
Published in:Marine Chemistry
Main Authors: Mecozzi, Mauro, Pietroletti, Marco, Trifirò, Gianluca, Nisini, Laura
Other Authors: Italian Minster of University and Research
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2014
Subjects:
Online Access:http://dx.doi.org/10.1016/j.marchem.2013.12.003
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spelling crelsevierbv:10.1016/j.marchem.2013.12.003 2023-05-15T14:07:35+02:00 Two-dimensional correlation analysis and multivariate time series analysis as innovative tools for the study and the comparison of the hydrocarbon distributions in marine antarctic cores Mecozzi, Mauro Pietroletti, Marco Trifirò, Gianluca Nisini, Laura Italian Minster of University and Research 2014 http://dx.doi.org/10.1016/j.marchem.2013.12.003 https://api.elsevier.com/content/article/PII:S0304420313002181?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0304420313002181?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ Marine Chemistry volume 159, page 9-18 ISSN 0304-4203 Water Science and Technology Environmental Chemistry General Chemistry Oceanography journal-article 2014 crelsevierbv https://doi.org/10.1016/j.marchem.2013.12.003 2022-12-01T09:16:18Z Article in Journal/Newspaper Antarc* Antarctic ScienceDirect (Elsevier - via Crossref) Antarctic Marine Chemistry 159 9 18
institution Open Polar
collection ScienceDirect (Elsevier - via Crossref)
op_collection_id crelsevierbv
language English
topic Water Science and Technology
Environmental Chemistry
General Chemistry
Oceanography
spellingShingle Water Science and Technology
Environmental Chemistry
General Chemistry
Oceanography
Mecozzi, Mauro
Pietroletti, Marco
Trifirò, Gianluca
Nisini, Laura
Two-dimensional correlation analysis and multivariate time series analysis as innovative tools for the study and the comparison of the hydrocarbon distributions in marine antarctic cores
topic_facet Water Science and Technology
Environmental Chemistry
General Chemistry
Oceanography
author2 Italian Minster of University and Research
format Article in Journal/Newspaper
author Mecozzi, Mauro
Pietroletti, Marco
Trifirò, Gianluca
Nisini, Laura
author_facet Mecozzi, Mauro
Pietroletti, Marco
Trifirò, Gianluca
Nisini, Laura
author_sort Mecozzi, Mauro
title Two-dimensional correlation analysis and multivariate time series analysis as innovative tools for the study and the comparison of the hydrocarbon distributions in marine antarctic cores
title_short Two-dimensional correlation analysis and multivariate time series analysis as innovative tools for the study and the comparison of the hydrocarbon distributions in marine antarctic cores
title_full Two-dimensional correlation analysis and multivariate time series analysis as innovative tools for the study and the comparison of the hydrocarbon distributions in marine antarctic cores
title_fullStr Two-dimensional correlation analysis and multivariate time series analysis as innovative tools for the study and the comparison of the hydrocarbon distributions in marine antarctic cores
title_full_unstemmed Two-dimensional correlation analysis and multivariate time series analysis as innovative tools for the study and the comparison of the hydrocarbon distributions in marine antarctic cores
title_sort two-dimensional correlation analysis and multivariate time series analysis as innovative tools for the study and the comparison of the hydrocarbon distributions in marine antarctic cores
publisher Elsevier BV
publishDate 2014
url http://dx.doi.org/10.1016/j.marchem.2013.12.003
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geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_source Marine Chemistry
volume 159, page 9-18
ISSN 0304-4203
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
op_doi https://doi.org/10.1016/j.marchem.2013.12.003
container_title Marine Chemistry
container_volume 159
container_start_page 9
op_container_end_page 18
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