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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Bibliographic Details
Main Authors: Reynolds, Rick, Stramski, Dariusz
Format: Dataset
Language:unknown
Published: 2021
Subjects:
Online Access:https://zenodo.org/record/5726622
https://doi.org/10.6076/D16C77
id ftzenodo:oai:zenodo.org:5726622
record_format openpolar
spelling ftzenodo:oai:zenodo.org:5726622 2023-06-06T11:50:40+02:00 Oceanic particle size distributions for the PacAtl and Arctic datasets Reynolds, Rick Stramski, Dariusz 2021-11-29 https://zenodo.org/record/5726622 https://doi.org/10.6076/D16C77 unknown https://zenodo.org/communities/dryad https://zenodo.org/record/5726622 https://doi.org/10.6076/D16C77 oai:zenodo.org:5726622 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode oceanography Particle size distribution Coulter counter info:eu-repo/semantics/other dataset 2021 ftzenodo https://doi.org/10.6076/D16C77 2023-04-13T21:59:22Z 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 ProgramsCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000087Award Number: OPP-1822021 Particle size distributions measured on discrete seawater samples using a Coulter Counter (Beckman-Coulter MultiSizer III) or HIAC/Royco 3001 (Pacific Scientific) particle sizer. Further details in uploaded file Reynolds_PSD_Readme.txt Dataset Arctic Zenodo Arctic Coulter ENVELOPE(-58.033,-58.033,-83.283,-83.283) Pacific
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic oceanography
Particle size distribution
Coulter counter
spellingShingle oceanography
Particle size distribution
Coulter counter
Reynolds, Rick
Stramski, Dariusz
Oceanic particle size distributions for the PacAtl and Arctic datasets
topic_facet oceanography
Particle size distribution
Coulter counter
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 ProgramsCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000087Award Number: OPP-1822021 Particle size distributions measured on discrete seawater samples using a Coulter Counter (Beckman-Coulter MultiSizer III) or HIAC/Royco 3001 (Pacific Scientific) particle sizer. Further details in uploaded file Reynolds_PSD_Readme.txt
format Dataset
author Reynolds, Rick
Stramski, Dariusz
author_facet Reynolds, Rick
Stramski, Dariusz
author_sort Reynolds, Rick
title Oceanic particle size distributions for the PacAtl and Arctic datasets
title_short 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_sort oceanic particle size distributions for the pacatl and arctic datasets
publishDate 2021
url https://zenodo.org/record/5726622
https://doi.org/10.6076/D16C77
long_lat ENVELOPE(-58.033,-58.033,-83.283,-83.283)
geographic Arctic
Coulter
Pacific
geographic_facet Arctic
Coulter
Pacific
genre Arctic
genre_facet Arctic
op_relation https://zenodo.org/communities/dryad
https://zenodo.org/record/5726622
https://doi.org/10.6076/D16C77
oai:zenodo.org:5726622
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/publicdomain/zero/1.0/legalcode
op_doi https://doi.org/10.6076/D16C77
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