Oceanic particle size distributions for the PacAtl and Arctic datasets

A dataset of nearly 400 measurements of the particle size distribution (PSD) compiled from the Pacific, Atlantic, and Arctic Oceans is used to examine variability in the magnitude and shape of the PSD, and to characterize the partitioning of particle number, cross-sectional area, and volume concentr...

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Main Authors: Reynolds, Rick, Stramski, Dariusz
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://doi.org/10.6076/D16C77
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author Reynolds, Rick
Stramski, Dariusz
author_facet Reynolds, Rick
Stramski, Dariusz
author_sort Reynolds, Rick
collection Zenodo
description A dataset of nearly 400 measurements of the particle size distribution (PSD) compiled from the Pacific, Atlantic, and Arctic Oceans is used to examine variability in the magnitude and shape of the PSD, and to characterize the partitioning of particle number, cross-sectional area, and volume concentration among defined size intervals. The results indicate that the relative contributions of three size classes based upon the pico-, nano-, and microplankton size range exhibit substantial changes among measures of particle size and between oceanic environments. The single slope power law model commonly employed to characterize the PSD in aquatic studies is demonstrated to have significant limitations in capturing the complexity of PSD shapes observed for natural particle assemblages, and in consequence poorly predicts the relative contributions of these different size intervals. We show that specific percentile diameters derived from the cumulative distributions of particle size are strongly correlated with the contributions of these three size classes, and that these non-parametric descriptors of the cumulative distribution provide superior performance for estimating their contributions while requiring no assumption of underlying PSD shape. A comparison of these predictive relationships with independent field measurements suggests that this approach is generally robust for particle assemblages representing a wide diversity of marine environments. See uploaded file Reynolds_PSD_Readme.txt Funding provided by: Office of Polar Programs Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000087 Award Number: OPP-1822021
format Other/Unknown Material
genre Arctic
genre_facet Arctic
geographic Arctic
Coulter
Pacific
geographic_facet Arctic
Coulter
Pacific
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spelling ftzenodo:oai:zenodo.org:5726622 2025-01-16T20:29:59+00:00 Oceanic particle size distributions for the PacAtl and Arctic datasets Reynolds, Rick Stramski, Dariusz 2021-11-29 https://doi.org/10.6076/D16C77 unknown Zenodo https://zenodo.org/communities/dryad https://doi.org/10.6076/D16C77 oai:zenodo.org:5726622 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode oceanography Particle size distribution Coulter counter info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.6076/D16C77 2024-12-05T20:32:52Z A dataset of nearly 400 measurements of the particle size distribution (PSD) compiled from the Pacific, Atlantic, and Arctic Oceans is used to examine variability in the magnitude and shape of the PSD, and to characterize the partitioning of particle number, cross-sectional area, and volume concentration among defined size intervals. The results indicate that the relative contributions of three size classes based upon the pico-, nano-, and microplankton size range exhibit substantial changes among measures of particle size and between oceanic environments. The single slope power law model commonly employed to characterize the PSD in aquatic studies is demonstrated to have significant limitations in capturing the complexity of PSD shapes observed for natural particle assemblages, and in consequence poorly predicts the relative contributions of these different size intervals. We show that specific percentile diameters derived from the cumulative distributions of particle size are strongly correlated with the contributions of these three size classes, and that these non-parametric descriptors of the cumulative distribution provide superior performance for estimating their contributions while requiring no assumption of underlying PSD shape. A comparison of these predictive relationships with independent field measurements suggests that this approach is generally robust for particle assemblages representing a wide diversity of marine environments. See uploaded file Reynolds_PSD_Readme.txt Funding provided by: Office of Polar Programs Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000087 Award Number: OPP-1822021 Other/Unknown Material Arctic Zenodo Arctic Coulter ENVELOPE(-58.033,-58.033,-83.283,-83.283) Pacific
spellingShingle oceanography
Particle size distribution
Coulter counter
Reynolds, Rick
Stramski, Dariusz
Oceanic particle size distributions for the PacAtl and Arctic datasets
title Oceanic particle size distributions for the PacAtl and Arctic datasets
title_full Oceanic particle size distributions for the PacAtl and Arctic datasets
title_fullStr Oceanic particle size distributions for the PacAtl and Arctic datasets
title_full_unstemmed Oceanic particle size distributions for the PacAtl and Arctic datasets
title_short Oceanic particle size distributions for the PacAtl and Arctic datasets
title_sort oceanic particle size distributions for the pacatl and arctic datasets
topic oceanography
Particle size distribution
Coulter counter
topic_facet oceanography
Particle size distribution
Coulter counter
url https://doi.org/10.6076/D16C77