Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y7 & Y8

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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Bibliographic Details
Main Author: Baker, Chelsey
Format: Dataset
Language:unknown
Published: Zenodo 2021
Subjects:
North Atlantic
Online Access:https://dx.doi.org/10.5281/zenodo.5786082
https://zenodo.org/record/5786082
id ftdatacite:10.5281/zenodo.5786082
record_format openpolar
spelling ftdatacite:10.5281/zenodo.5786082 2023-05-15T17:28:08+02:00 Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y7 & Y8 Baker, Chelsey 2021 https://dx.doi.org/10.5281/zenodo.5786082 https://zenodo.org/record/5786082 unknown Zenodo https://dx.doi.org/10.5281/zenodo.5786083 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 dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.5786082 https://doi.org/10.5281/zenodo.5786083 2022-02-08T17:14:05Z 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 1000m particles releases for the years 2002 (Y7) and 2003 (Y8). Dataset 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 1000m particles releases for the years 2002 (Y7) and 2003 (Y8).
format Dataset
author Baker, Chelsey
spellingShingle Baker, Chelsey
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y7 & Y8
author_facet Baker, Chelsey
author_sort Baker, Chelsey
title Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y7 & Y8
title_short Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y7 & Y8
title_full Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y7 & Y8
title_fullStr Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y7 & Y8
title_full_unstemmed Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y7 & Y8
title_sort lagrangian sequestration efficiency trajectories and extracted particle metrics – 1000m y7 & y8
publisher Zenodo
publishDate 2021
url https://dx.doi.org/10.5281/zenodo.5786082
https://zenodo.org/record/5786082
genre North Atlantic
genre_facet North Atlantic
op_relation https://dx.doi.org/10.5281/zenodo.5786083
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.5786082
https://doi.org/10.5281/zenodo.5786083
_version_ 1766120632604426240

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