A python code for automatic construction of Fischer plots using proxy data

Abstract Fischer plots are widely used in paleoenvironmental research as graphic representations of sea- and lake-level changes through mapping linearly corrected variation of accumulative cycle thickness over cycle number or stratum depth. Some kinds of paleoenvironmental proxy data (especially sub...

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Autores principales: Daming Yang, Yongjian Huang, Zongyang Chen, Qinghua Huang, Yanguang Ren, Chengshan Wang
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/b7bb376b08c4448c827a3faa1a722379
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spelling oai:doaj.org-article:b7bb376b08c4448c827a3faa1a7223792021-12-02T15:52:47ZA python code for automatic construction of Fischer plots using proxy data10.1038/s41598-021-90017-92045-2322https://doaj.org/article/b7bb376b08c4448c827a3faa1a7223792021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90017-9https://doaj.org/toc/2045-2322Abstract Fischer plots are widely used in paleoenvironmental research as graphic representations of sea- and lake-level changes through mapping linearly corrected variation of accumulative cycle thickness over cycle number or stratum depth. Some kinds of paleoenvironmental proxy data (especially subsurface data, such as natural gamma-ray logging data), which preserve continuous cyclic signals and have been largely collected, are potential materials for constructing Fischer Plots. However, it is laborious to count the cycles preserved in these proxy data manually and map Fischer plots with these cycles. In this paper, we introduce an original open-source Python code “PyFISCHERPLOT” for constructing Fischer Plots in batches utilizing paleoenvironmental proxy data series. The principle of constructing Fischer plots based on proxy data, the data processing and usage of the PyFISCHERPLOT code and the application cases of the code are presented. The code is compared with existing methods for constructing Fischer plots.Daming YangYongjian HuangZongyang ChenQinghua HuangYanguang RenChengshan WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Daming Yang
Yongjian Huang
Zongyang Chen
Qinghua Huang
Yanguang Ren
Chengshan Wang
A python code for automatic construction of Fischer plots using proxy data
description Abstract Fischer plots are widely used in paleoenvironmental research as graphic representations of sea- and lake-level changes through mapping linearly corrected variation of accumulative cycle thickness over cycle number or stratum depth. Some kinds of paleoenvironmental proxy data (especially subsurface data, such as natural gamma-ray logging data), which preserve continuous cyclic signals and have been largely collected, are potential materials for constructing Fischer Plots. However, it is laborious to count the cycles preserved in these proxy data manually and map Fischer plots with these cycles. In this paper, we introduce an original open-source Python code “PyFISCHERPLOT” for constructing Fischer Plots in batches utilizing paleoenvironmental proxy data series. The principle of constructing Fischer plots based on proxy data, the data processing and usage of the PyFISCHERPLOT code and the application cases of the code are presented. The code is compared with existing methods for constructing Fischer plots.
format article
author Daming Yang
Yongjian Huang
Zongyang Chen
Qinghua Huang
Yanguang Ren
Chengshan Wang
author_facet Daming Yang
Yongjian Huang
Zongyang Chen
Qinghua Huang
Yanguang Ren
Chengshan Wang
author_sort Daming Yang
title A python code for automatic construction of Fischer plots using proxy data
title_short A python code for automatic construction of Fischer plots using proxy data
title_full A python code for automatic construction of Fischer plots using proxy data
title_fullStr A python code for automatic construction of Fischer plots using proxy data
title_full_unstemmed A python code for automatic construction of Fischer plots using proxy data
title_sort python code for automatic construction of fischer plots using proxy data
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/b7bb376b08c4448c827a3faa1a722379
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