Evidence map›Paper›PMID 38310126›Full record

ArticleScientific data2024

Phytoplankton optical fingerprint libraries for development of phytoplankton ocean color satellite products.

Michael W Lomas, Aimee R Neeley, Ryan Vandermeulen, Antonio Mannino, Crystal Thomas, Michael G Novak, Scott A Freeman

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Michael W LomasBigelow Laboratory for Ocean Sciences, East Boothbay, ME, 04544, USA. mlomas@bigelow.org.ORCID 0000-0003-1209-3753
Aimee R NeeleyNASA Goddard Space Flight Center/Science Systems and Applications Inc., Greenbelt, Maryland, 20771, USA.
Ryan VandermeulenNASA Goddard Space Flight Center/Science Systems and Applications Inc., Greenbelt, Maryland, 20771, USA.
Antonio ManninoNASA Goddard Space Flight Center, Greenbelt, Maryland, 20771, USA.
Crystal ThomasNASA Goddard Space Flight Center/Science Systems and Applications Inc., Greenbelt, Maryland, 20771, USA.
Michael G NovakNASA Goddard Space Flight Center/Science Systems and Applications Inc., Greenbelt, Maryland, 20771, USA.
Scott A FreemanNASA Goddard Space Flight Center/Science Systems and Applications Inc., Greenbelt, Maryland, 20771, USA.

Funding

National Aeronautics and Space Administration (NASA) NNX17AB90GNational Science Foundation (NSF) 1349350National Science Foundation (NSF) 1905393
6 · The paper itself

Abstract

Phytoplankton respond to physical and hydrographic forcing on time and space scales up to and including those relevant to climate change. Quantifying changes in phytoplankton communities over these scales is essential for predicting ocean food resources, occurrences of harmful algal blooms, and carbon and other elemental cycles, among other predictions. However, one of the best tools for quantifying phytoplankton communities across relevant time and space scales, ocean color sensors, is constrained by its own spectral capabilities and availability of adequately vetted and relevant optical models. To address this later shortcoming, greater than fifty strains of phytoplankton, from a range of taxonomic lineages, geographic locations, and time in culture, alone and in mixtures, were grown to exponential and/or stationary phase for determination of hyperspectral UV-VIS absorption coefficients, multi-angle and multi-spectral backscatter coefficients, volume scattering functions, particle size distributions, pigment content, and fluorescence. The aim of this publication is to share these measurements to expedite their utilization in the development of new optical models for the next generation of ocean color satellites.

Indexed as

PhytoplanktonCarbonClimate ChangeOceans and SeasCarbon

Identifiers

PMID38310126
PMCPMC11422499

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.