Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y9 & Y10

A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestrati...

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Main Author: Baker, Chelsey
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2021
Subjects:
North Atlantic
Online Access:https://dx.doi.org/10.5281/zenodo.5784319
https://zenodo.org/record/5784319
id ftdatacite:10.5281/zenodo.5784319
record_format openpolar
spelling ftdatacite:10.5281/zenodo.5784319 2023-05-15T17:28:09+02:00 Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y9 & Y10 Baker, Chelsey 2021 https://dx.doi.org/10.5281/zenodo.5784319 https://zenodo.org/record/5784319 unknown Zenodo https://dx.doi.org/10.5281/zenodo.5784318 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY article-journal ScholarlyArticle JournalArticle 2021 ftdatacite https://doi.org/10.5281/zenodo.5784319 https://doi.org/10.5281/zenodo.5784318 2022-02-08T17:05:41Z A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 500m particles releases for the years 2004 (Y9) and 2005 (Y10). Article in Journal/Newspaper North Atlantic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 500m particles releases for the years 2004 (Y9) and 2005 (Y10).
format Article in Journal/Newspaper
author Baker, Chelsey
spellingShingle Baker, Chelsey
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y9 & Y10
author_facet Baker, Chelsey
author_sort Baker, Chelsey
title Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y9 & Y10
title_short Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y9 & Y10
title_full Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y9 & Y10
title_fullStr Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y9 & Y10
title_full_unstemmed Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y9 & Y10
title_sort lagrangian sequestration efficiency trajectories and extracted particle metrics – 500m y9 & y10
publisher Zenodo
publishDate 2021
url https://dx.doi.org/10.5281/zenodo.5784319
https://zenodo.org/record/5784319
genre North Atlantic
genre_facet North Atlantic
op_relation https://dx.doi.org/10.5281/zenodo.5784318
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.5784319
https://doi.org/10.5281/zenodo.5784318
_version_ 1766120662120792064

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