Ice-sheet model simulation ensembles (produced Fall 2018)

Ice-sheet model simulation ensembles over the last interglacial and a future high emissions scenario (RCP8.5), and varied over two model parameters (CREVLIQ and CLIFVMAX). The data was pickled as a pandas dataframe with python 3, and can be retrieved by loading using pickle with the same version. :...

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Bibliographic Details
Main Authors: Gilford, Daniel M., DeConto, Rob
Format: Dataset
Language:unknown
Published: Zenodo 2019
Subjects:
Ice Sheet
Online Access:https://dx.doi.org/10.5281/zenodo.3478486
https://zenodo.org/record/3478486
id ftdatacite:10.5281/zenodo.3478486
record_format openpolar
spelling ftdatacite:10.5281/zenodo.3478486 2023-05-15T16:39:49+02:00 Ice-sheet model simulation ensembles (produced Fall 2018) Gilford, Daniel M. DeConto, Rob 2019 https://dx.doi.org/10.5281/zenodo.3478486 https://zenodo.org/record/3478486 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3478485 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 2019 ftdatacite https://doi.org/10.5281/zenodo.3478486 https://doi.org/10.5281/zenodo.3478485 2021-11-05T12:55:41Z Ice-sheet model simulation ensembles over the last interglacial and a future high emissions scenario (RCP8.5), and varied over two model parameters (CREVLIQ and CLIFVMAX). The data was pickled as a pandas dataframe with python 3, and can be retrieved by loading using pickle with the same version. : {"references": ["DeConto et al. (2019, Nature Climate Change)"]} Dataset Ice Sheet 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 Ice-sheet model simulation ensembles over the last interglacial and a future high emissions scenario (RCP8.5), and varied over two model parameters (CREVLIQ and CLIFVMAX). The data was pickled as a pandas dataframe with python 3, and can be retrieved by loading using pickle with the same version. : {"references": ["DeConto et al. (2019, Nature Climate Change)"]}
format Dataset
author Gilford, Daniel M.
DeConto, Rob
spellingShingle Gilford, Daniel M.
DeConto, Rob
Ice-sheet model simulation ensembles (produced Fall 2018)
author_facet Gilford, Daniel M.
DeConto, Rob
author_sort Gilford, Daniel M.
title Ice-sheet model simulation ensembles (produced Fall 2018)
title_short Ice-sheet model simulation ensembles (produced Fall 2018)
title_full Ice-sheet model simulation ensembles (produced Fall 2018)
title_fullStr Ice-sheet model simulation ensembles (produced Fall 2018)
title_full_unstemmed Ice-sheet model simulation ensembles (produced Fall 2018)
title_sort ice-sheet model simulation ensembles (produced fall 2018)
publisher Zenodo
publishDate 2019
url https://dx.doi.org/10.5281/zenodo.3478486
https://zenodo.org/record/3478486
genre Ice Sheet
genre_facet Ice Sheet
op_relation https://dx.doi.org/10.5281/zenodo.3478485
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.3478486
https://doi.org/10.5281/zenodo.3478485
_version_ 1766030163006455808

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