Size harmonizing planktonic Foraminifera number concentrations in the water column ...

Data and R code for " Size harmonizing planktonic Foraminifera number concentrations in the water column " by Sonia Chaabane, Thibault de Garidel-Thoron, Xavier Giraud, Julie Meilland, Geert-Jan A. Brummer, Lukas Jonkers, P. Graham Mortyn, Mattia Greco, Nicolas Casajus, Olivier Sulpis, Mic...

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Main Authors: Chaabane, Sonia, de Garidel-Thoron, Thibault, Giraud, Xavier, Meilland, Julie, Brummer, Geert-Jan A., Jonkers, Lukas, Mortyn, P. Graham, Greco, Mattia, Casajus, Nicolas, Kucera, Michal, Sulpis, Olivier, Kuroyanagi, Azumi, Howa, Hélène, Beaugrand, Gregory, Schiebel, Ralf
Format: Dataset
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.7437720
https://zenodo.org/record/7437720
id ftdatacite:10.5281/zenodo.7437720
record_format openpolar
spelling ftdatacite:10.5281/zenodo.7437720 2024-04-28T08:36:22+00:00 Size harmonizing planktonic Foraminifera number concentrations in the water column ... Chaabane, Sonia de Garidel-Thoron, Thibault Giraud, Xavier Meilland, Julie Brummer, Geert-Jan A. Jonkers, Lukas Mortyn, P. Graham Greco, Mattia Casajus, Nicolas Kucera, Michal Sulpis, Olivier Kuroyanagi, Azumi Howa, Hélène Beaugrand, Gregory Schiebel, Ralf 2023 https://dx.doi.org/10.5281/zenodo.7437720 https://zenodo.org/record/7437720 unknown Zenodo https://dx.doi.org/10.5281/zenodo.7437719 Restricted Access info:eu-repo/semantics/restrictedAccess Planktonic Foraminifera, size fraction, vertical distribution, FORCIS database dataset Dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.743772010.5281/zenodo.7437719 2024-04-02T11:37:18Z Data and R code for " Size harmonizing planktonic Foraminifera number concentrations in the water column " by Sonia Chaabane, Thibault de Garidel-Thoron, Xavier Giraud, Julie Meilland, Geert-Jan A. Brummer, Lukas Jonkers, P. Graham Mortyn, Mattia Greco, Nicolas Casajus, Olivier Sulpis, Michal Kucera, Azumi Kuroyanagi, Hélène Howa, Gregory Beaugrand, Ralf Schiebel The codes serve to generate the new normalization approach in order to not estimate number concentration of planktonic Foraminifera (ind/m3) in the finer and larger size fractions than the collection size fraction range. We use data from the FORCIS database that have been collected from the global ocean at different depths over the past century. We find a general cumulative distribution over the size fractions that can be described using a Michaelis Menten function. This yields multiplication factors by which one fraction can be normalized to any other size fraction equal to or larger than 100 µm. The resulting size normalization model was tested ... Dataset Planktonic foraminifera DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Planktonic Foraminifera, size fraction, vertical distribution, FORCIS database
spellingShingle Planktonic Foraminifera, size fraction, vertical distribution, FORCIS database
Chaabane, Sonia
de Garidel-Thoron, Thibault
Giraud, Xavier
Meilland, Julie
Brummer, Geert-Jan A.
Jonkers, Lukas
Mortyn, P. Graham
Greco, Mattia
Casajus, Nicolas
Kucera, Michal
Sulpis, Olivier
Kuroyanagi, Azumi
Howa, Hélène
Beaugrand, Gregory
Schiebel, Ralf
Size harmonizing planktonic Foraminifera number concentrations in the water column ...
topic_facet Planktonic Foraminifera, size fraction, vertical distribution, FORCIS database
description Data and R code for " Size harmonizing planktonic Foraminifera number concentrations in the water column " by Sonia Chaabane, Thibault de Garidel-Thoron, Xavier Giraud, Julie Meilland, Geert-Jan A. Brummer, Lukas Jonkers, P. Graham Mortyn, Mattia Greco, Nicolas Casajus, Olivier Sulpis, Michal Kucera, Azumi Kuroyanagi, Hélène Howa, Gregory Beaugrand, Ralf Schiebel The codes serve to generate the new normalization approach in order to not estimate number concentration of planktonic Foraminifera (ind/m3) in the finer and larger size fractions than the collection size fraction range. We use data from the FORCIS database that have been collected from the global ocean at different depths over the past century. We find a general cumulative distribution over the size fractions that can be described using a Michaelis Menten function. This yields multiplication factors by which one fraction can be normalized to any other size fraction equal to or larger than 100 µm. The resulting size normalization model was tested ...
format Dataset
author Chaabane, Sonia
de Garidel-Thoron, Thibault
Giraud, Xavier
Meilland, Julie
Brummer, Geert-Jan A.
Jonkers, Lukas
Mortyn, P. Graham
Greco, Mattia
Casajus, Nicolas
Kucera, Michal
Sulpis, Olivier
Kuroyanagi, Azumi
Howa, Hélène
Beaugrand, Gregory
Schiebel, Ralf
author_facet Chaabane, Sonia
de Garidel-Thoron, Thibault
Giraud, Xavier
Meilland, Julie
Brummer, Geert-Jan A.
Jonkers, Lukas
Mortyn, P. Graham
Greco, Mattia
Casajus, Nicolas
Kucera, Michal
Sulpis, Olivier
Kuroyanagi, Azumi
Howa, Hélène
Beaugrand, Gregory
Schiebel, Ralf
author_sort Chaabane, Sonia
title Size harmonizing planktonic Foraminifera number concentrations in the water column ...
title_short Size harmonizing planktonic Foraminifera number concentrations in the water column ...
title_full Size harmonizing planktonic Foraminifera number concentrations in the water column ...
title_fullStr Size harmonizing planktonic Foraminifera number concentrations in the water column ...
title_full_unstemmed Size harmonizing planktonic Foraminifera number concentrations in the water column ...
title_sort size harmonizing planktonic foraminifera number concentrations in the water column ...
publisher Zenodo
publishDate 2023
url https://dx.doi.org/10.5281/zenodo.7437720
https://zenodo.org/record/7437720
genre Planktonic foraminifera
genre_facet Planktonic foraminifera
op_relation https://dx.doi.org/10.5281/zenodo.7437719
op_rights Restricted Access
info:eu-repo/semantics/restrictedAccess
op_doi https://doi.org/10.5281/zenodo.743772010.5281/zenodo.7437719
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