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Sixty-one thousand recent planktonic foraminifera from the Atlantic Ocean

Marine microfossils record the environmental, ecological, and evolutionary dynamics of past oceans in temporally expanded sedimentary archives. Rapid imaging approaches provide a means of exploiting the primary advantage of this archive, the vast number of fossils, for evolution and ecology. Here we...

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Autores principales: Elder, Leanne E., Hsiang, Allison Y., Nelson, Kaylea, Strotz, Luke C., Kahanamoku, Sara S., Hull, Pincelli M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111889/
https://www.ncbi.nlm.nih.gov/pubmed/30152812
http://dx.doi.org/10.1038/sdata.2018.109
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author Elder, Leanne E.
Hsiang, Allison Y.
Nelson, Kaylea
Strotz, Luke C.
Kahanamoku, Sara S.
Hull, Pincelli M.
author_facet Elder, Leanne E.
Hsiang, Allison Y.
Nelson, Kaylea
Strotz, Luke C.
Kahanamoku, Sara S.
Hull, Pincelli M.
author_sort Elder, Leanne E.
collection PubMed
description Marine microfossils record the environmental, ecological, and evolutionary dynamics of past oceans in temporally expanded sedimentary archives. Rapid imaging approaches provide a means of exploiting the primary advantage of this archive, the vast number of fossils, for evolution and ecology. Here we provide the first large scale image and 2D and 3D shape dataset of modern planktonic foraminifera, a major microfossil group, from 34 Atlantic Ocean sediment samples. Information on more than 124,000 objects is provided, including general object classification for 4/5ths of the dataset (~ 99,000 objects). Of the ~ 99,000 classifications provided, more than 61,000 are complete or damaged planktonic foraminifera. Objects also include benthic foraminifera, ostracods, pteropods, spicules, and planktonic foraminifera test fragments, among others. This dataset is the first major microfossil output of a new high-throughput imaging method (AutoMorph) developed to extract 2D and 3D data from photographic images of fossils. Our sample preparation and imaging techniques are described in detail. The data provided here comprises the most extensive publically available archive of planktonic foraminiferal morphology and morphological variation to date.
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spelling pubmed-61118892018-08-31 Sixty-one thousand recent planktonic foraminifera from the Atlantic Ocean Elder, Leanne E. Hsiang, Allison Y. Nelson, Kaylea Strotz, Luke C. Kahanamoku, Sara S. Hull, Pincelli M. Sci Data Data Descriptor Marine microfossils record the environmental, ecological, and evolutionary dynamics of past oceans in temporally expanded sedimentary archives. Rapid imaging approaches provide a means of exploiting the primary advantage of this archive, the vast number of fossils, for evolution and ecology. Here we provide the first large scale image and 2D and 3D shape dataset of modern planktonic foraminifera, a major microfossil group, from 34 Atlantic Ocean sediment samples. Information on more than 124,000 objects is provided, including general object classification for 4/5ths of the dataset (~ 99,000 objects). Of the ~ 99,000 classifications provided, more than 61,000 are complete or damaged planktonic foraminifera. Objects also include benthic foraminifera, ostracods, pteropods, spicules, and planktonic foraminifera test fragments, among others. This dataset is the first major microfossil output of a new high-throughput imaging method (AutoMorph) developed to extract 2D and 3D data from photographic images of fossils. Our sample preparation and imaging techniques are described in detail. The data provided here comprises the most extensive publically available archive of planktonic foraminiferal morphology and morphological variation to date. Nature Publishing Group 2018-08-28 /pmc/articles/PMC6111889/ /pubmed/30152812 http://dx.doi.org/10.1038/sdata.2018.109 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Elder, Leanne E.
Hsiang, Allison Y.
Nelson, Kaylea
Strotz, Luke C.
Kahanamoku, Sara S.
Hull, Pincelli M.
Sixty-one thousand recent planktonic foraminifera from the Atlantic Ocean
title Sixty-one thousand recent planktonic foraminifera from the Atlantic Ocean
title_full Sixty-one thousand recent planktonic foraminifera from the Atlantic Ocean
title_fullStr Sixty-one thousand recent planktonic foraminifera from the Atlantic Ocean
title_full_unstemmed Sixty-one thousand recent planktonic foraminifera from the Atlantic Ocean
title_short Sixty-one thousand recent planktonic foraminifera from the Atlantic Ocean
title_sort sixty-one thousand recent planktonic foraminifera from the atlantic ocean
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111889/
https://www.ncbi.nlm.nih.gov/pubmed/30152812
http://dx.doi.org/10.1038/sdata.2018.109
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