Size normalizing planktonic Foraminifera abundance in the water column ...
Data and R code for " Size normalizing planktonic Foraminifera abundance 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,...
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Online Access: | https://dx.doi.org/10.5281/zenodo.10750545 https://zenodo.org/doi/10.5281/zenodo.10750545 |
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ftdatacite:10.5281/zenodo.10750545 2024-04-28T08:36:22+00:00 Size normalizing planktonic Foraminifera abundance 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 Olivier Sulpis Kuroyanagi, Azumi Howa, Hélène Beaugrand, Gregory Schiebel, Ralf 2024 https://dx.doi.org/10.5281/zenodo.10750545 https://zenodo.org/doi/10.5281/zenodo.10750545 unknown Zenodo https://dx.doi.org/10.5281/zenodo.7437719 Planktonic Foraminifera, size fraction, vertical distribution, FORCIS database dataset Dataset 2024 ftdatacite https://doi.org/10.5281/zenodo.1075054510.5281/zenodo.7437719 2024-04-02T11:37:18Z Data and R code for " Size normalizing planktonic Foraminifera abundance 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 a new normalization approach for estimating the abundance of planktonic Foraminifera (ind/m³) within the specified collection size fraction range. Data utilized in this study are sourced from the FORCIS database, containing records collected from the global ocean at various depths spanning the past century. A cumulative distribution across size fractions is identified and modeled using a Michaelis-Menten function. This modeling results in multiplication factors enabling the normalization of one fraction to any other size fraction equal to or larger than 100 µm. The resultant size normalization model is then tested across various ... 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 Olivier Sulpis Kuroyanagi, Azumi Howa, Hélène Beaugrand, Gregory Schiebel, Ralf Size normalizing planktonic Foraminifera abundance in the water column ... |
topic_facet |
Planktonic Foraminifera, size fraction, vertical distribution, FORCIS database |
description |
Data and R code for " Size normalizing planktonic Foraminifera abundance 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 a new normalization approach for estimating the abundance of planktonic Foraminifera (ind/m³) within the specified collection size fraction range. Data utilized in this study are sourced from the FORCIS database, containing records collected from the global ocean at various depths spanning the past century. A cumulative distribution across size fractions is identified and modeled using a Michaelis-Menten function. This modeling results in multiplication factors enabling the normalization of one fraction to any other size fraction equal to or larger than 100 µm. The resultant size normalization model is then tested across various ... |
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 Olivier Sulpis 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 Olivier Sulpis Kuroyanagi, Azumi Howa, Hélène Beaugrand, Gregory Schiebel, Ralf |
author_sort |
Chaabane, Sonia |
title |
Size normalizing planktonic Foraminifera abundance in the water column ... |
title_short |
Size normalizing planktonic Foraminifera abundance in the water column ... |
title_full |
Size normalizing planktonic Foraminifera abundance in the water column ... |
title_fullStr |
Size normalizing planktonic Foraminifera abundance in the water column ... |
title_full_unstemmed |
Size normalizing planktonic Foraminifera abundance in the water column ... |
title_sort |
size normalizing planktonic foraminifera abundance in the water column ... |
publisher |
Zenodo |
publishDate |
2024 |
url |
https://dx.doi.org/10.5281/zenodo.10750545 https://zenodo.org/doi/10.5281/zenodo.10750545 |
genre |
Planktonic foraminifera |
genre_facet |
Planktonic foraminifera |
op_relation |
https://dx.doi.org/10.5281/zenodo.7437719 |
op_doi |
https://doi.org/10.5281/zenodo.1075054510.5281/zenodo.7437719 |
_version_ |
1797568168016740352 |