Evidence map›Paper›PMID 39181903›Full record

ArticleScientific data2024

CASCADE: Dataset of extant coccolithophore size, carbon content and global distribution.

Joost de Vries, Alex J Poulton, Jeremy R Young, Fanny M Monteiro, Rosie M Sheward, Roberta Johnson, Kyoko Hagino, Patrizia Ziveri, Levi J Wolf

Abstract readDataset
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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Joost de VriesBRIDGE, School of Geographical Sciences, University of Bristol, Bristol, BS8 1HB, UK. joost.devries@bristol.ac.uk.
Alex J PoultonThe Lyell Centre for Earth and Marine Science, Heriot-Watt University, Edinburgh, EH14 4BA, UK.ORCID 0000-0002-5149-6961
Jeremy R YoungDepartment of Earth Sciences, University College London, London, WC1E 6BS, UK.ORCID 0000-0001-9320-9804
Fanny M MonteiroBRIDGE, School of Geographical Sciences, University of Bristol, Bristol, BS8 1HB, UK.
Rosie M ShewardInstitute for Geosciences, Goethe-University Frankfurt, Frankfurt am Main, 60438, Germany.ORCID 0000-0001-6857-2038
Roberta JohnsonICTA-UAB, Universitat Autònoma de Barcelona, Barcelona, 08193, Spain.
Kyoko HaginoMarine Core Research Institute, Kochi University, Nankoku, 783-8502, Japan.
Patrizia ZiveriICTA-UAB, Universitat Autònoma de Barcelona, Barcelona, 08193, Spain.
Levi J WolfBRIDGE, School of Geographical Sciences, University of Bristol, Bristol, BS8 1HB, UK.ORCID 0000-0003-0274-599X

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 447581699EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 10054454Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness) PID2020-113526RB-I00RCUK | Natural Environment Research Council (NERC) NE/X001261/1
6 · The paper itself

Abstract

Coccolithophores are marine calcifying phytoplankton important to the carbon cycle and a model organism for studying diversity. Here, we present CASCADE (Coccolithophore Abundance, Size, Carbon And Distribution Estimates), a new global dataset for 139 extant coccolithophore taxonomic units. CASCADE includes a trait database (size and cellular organic and inorganic carbon contents) and taxonomic-unit-specific global spatiotemporal distributions (Latitude/Longitude/Depth/Month/Year) of coccolithophore abundance and organic and inorganic carbon stocks. CASCADE covers all ocean basins over the upper 275 meters, spans the years 1964-2019 and includes 33,119 gridded taxonomic-unit-specific abundance observations. Within CASCADE, we characterise the underlying uncertainties due to measurement errors by propagating error estimates between the different studies. This error propagation pipeline is statistically robust and could be applied to other plankton groups. CASCADE can contribute to (observational or modelling) studies that focus on coccolithophore distribution and diversity and the impacts of anthropogenic pressures on historical populations. Additionally, our new taxonomic-unit-specific cellular carbon content estimates provide essential conversions to quantify the role of coccolithophores on ecosystem functioning and global biogeochemistry.

Indexed as

CarbonHaptophytaPhytoplanktonCarbon CycleEcosystemOceans and SeasCarbon

Identifiers

PMID39181903
PMCPMC11344785

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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.