Neodymium isotopes as a paleo-water mass tracer: A model-data reassessment: Model Output Data

This dataset contains model output for the simulations presented in "Neodymium isotopes as a paleo-water mass tracer: A model-data reassessment, Quaternary Science Reviews 279 (2022), 107404". The NetCDF4 files contain the following variables: 3D fields: Potential Temperature Salinity Nort...

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Bibliographic Details
Main Authors: Pöppelmeier, F., Lippold, J., Blaser, P., Gutjahr, M., Frank, M., Stocker, T.F.
Format: Dataset
Language:unknown
Published: Zenodo 2022
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.6325522
https://zenodo.org/record/6325522
id ftdatacite:10.5281/zenodo.6325522
record_format openpolar
spelling ftdatacite:10.5281/zenodo.6325522 2023-05-15T17:29:48+02:00 Neodymium isotopes as a paleo-water mass tracer: A model-data reassessment: Model Output Data Pöppelmeier, F. Lippold, J. Blaser, P. Gutjahr, M. Frank, M. Stocker, T.F. 2022 https://dx.doi.org/10.5281/zenodo.6325522 https://zenodo.org/record/6325522 unknown Zenodo https://dx.doi.org/10.1016/j.quascirev.2022.107404 https://dx.doi.org/10.5281/zenodo.6325521 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 Neodymium isotopes Rare Earth Elements Atlantic Ocean Paleoceanography Last Glacial Maximum Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.6325522 https://doi.org/10.1016/j.quascirev.2022.107404 https://doi.org/10.5281/zenodo.6325521 2022-04-01T10:09:43Z This dataset contains model output for the simulations presented in "Neodymium isotopes as a paleo-water mass tracer: A model-data reassessment, Quaternary Science Reviews 279 (2022), 107404". The NetCDF4 files contain the following variables: 3D fields: Potential Temperature Salinity North Atlantic dye tracer Epsilon Nd Nd concentration 2D field: AMOC stream function 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
topic Neodymium isotopes
Rare Earth Elements
Atlantic Ocean
Paleoceanography
Last Glacial Maximum
spellingShingle Neodymium isotopes
Rare Earth Elements
Atlantic Ocean
Paleoceanography
Last Glacial Maximum
Pöppelmeier, F.
Lippold, J.
Blaser, P.
Gutjahr, M.
Frank, M.
Stocker, T.F.
Neodymium isotopes as a paleo-water mass tracer: A model-data reassessment: Model Output Data
topic_facet Neodymium isotopes
Rare Earth Elements
Atlantic Ocean
Paleoceanography
Last Glacial Maximum
description This dataset contains model output for the simulations presented in "Neodymium isotopes as a paleo-water mass tracer: A model-data reassessment, Quaternary Science Reviews 279 (2022), 107404". The NetCDF4 files contain the following variables: 3D fields: Potential Temperature Salinity North Atlantic dye tracer Epsilon Nd Nd concentration 2D field: AMOC stream function
format Dataset
author Pöppelmeier, F.
Lippold, J.
Blaser, P.
Gutjahr, M.
Frank, M.
Stocker, T.F.
author_facet Pöppelmeier, F.
Lippold, J.
Blaser, P.
Gutjahr, M.
Frank, M.
Stocker, T.F.
author_sort Pöppelmeier, F.
title Neodymium isotopes as a paleo-water mass tracer: A model-data reassessment: Model Output Data
title_short Neodymium isotopes as a paleo-water mass tracer: A model-data reassessment: Model Output Data
title_full Neodymium isotopes as a paleo-water mass tracer: A model-data reassessment: Model Output Data
title_fullStr Neodymium isotopes as a paleo-water mass tracer: A model-data reassessment: Model Output Data
title_full_unstemmed Neodymium isotopes as a paleo-water mass tracer: A model-data reassessment: Model Output Data
title_sort neodymium isotopes as a paleo-water mass tracer: a model-data reassessment: model output data
publisher Zenodo
publishDate 2022
url https://dx.doi.org/10.5281/zenodo.6325522
https://zenodo.org/record/6325522
genre North Atlantic
genre_facet North Atlantic
op_relation https://dx.doi.org/10.1016/j.quascirev.2022.107404
https://dx.doi.org/10.5281/zenodo.6325521
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.6325522
https://doi.org/10.1016/j.quascirev.2022.107404
https://doi.org/10.5281/zenodo.6325521
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