Evidence map›Paper›PMID 38956105›Full record

ArticleScientific data2024

Cellular morphological trait dataset for extant coccolithophores from the Atlantic Ocean.

Rosie M Sheward, Alex J Poulton, Jeremy R Young, Joost de Vries, Fanny M Monteiro, Jens O Herrle

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rosie M ShewardInstitute for Geosciences, Goethe-University Frankfurt, Frankfurt am Main, Germany. sheward@em.uni-frankfurt.de.ORCID 0000-0001-6857-2038
Alex J PoultonThe Lyell Centre for Earth and Marine Science, Heriot-Watt University, Edinburgh, UK.ORCID 0000-0002-5149-6961
Jeremy R YoungDepartment of Earth Sciences, University College London, London, UK.ORCID 0000-0001-9320-9804
Joost de VriesBRIDGE, School of Geographical Sciences, University of Bristol, Bristol, UK.
Fanny M MonteiroBRIDGE, School of Geographical Sciences, University of Bristol, Bristol, UK.
Jens O HerrleInstitute for Geosciences, Goethe-University Frankfurt, Frankfurt am Main, Germany.ORCID 0000-0003-1312-2026

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 447581699RCUK | Natural Environment Research Council (NERC) NE/X001261/1
6 · The paper itself

Abstract

Calcification and biomass production by planktonic marine organisms influences the global carbon cycle and fuels marine ecosystems. The major calcifying plankton group coccolithophores are highly diverse, comprising ca. 250-300 extant species. However, coccolithophore size (a key functional trait) and degree of calcification are poorly quantified, as most of our understanding of this group comes from a small number of species. We generated a novel reference dataset of coccolithophore morphological traits, including cell-specific data for coccosphere and cell size, coccolith size, number of coccoliths per cell, and cellular calcite content. This dataset includes observations from 1074 individual cells and represents 61 species from 25 genera spanning equatorial to temperate coccolithophore populations that were sampled during the Atlantic Meridional Transect (AMT) 14 cruise in 2004. This unique dataset can be used to explore relationships between morphological traits (cell size and cell calcite) and environmental conditions, investigate species-specific and community contributions to pelagic carbonate production, export and plankton biomass, and inform and validate coccolithophore representation in marine ecosystem and biogeochemical models.

Indexed as

HaptophytaAtlantic OceanBiomassCalcification, PhysiologicCalcium CarbonateEcosystemPlanktonCalcium Carbonate

Identifiers

PMID38956105
PMCPMC11220069

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.