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dc.contributor.authorCamargo, Carolina M. L.es_ES
dc.contributor.authorRiva, Riccardoes_ES
dc.contributor.authorHermans, Tim H. J.es_ES
dc.contributor.authorSchütt, Eike M.es_ES
dc.contributor.authorMarcos, Martaes_ES
dc.contributor.authorHernández Carrasco, Ismaeles_ES
dc.contributor.authorSlangen, Aimée B. A.es_ES
dc.date.accessioned2023-11-13T08:57:32Z-
dc.date.available2023-11-13T08:57:32Z-
dc.date.issued2022-08-18-
dc.identifier.citationCamargo, Carolina M. L.; Riva, Riccardo; Hermans, Tim H. J.; Schütt, Eike M.; Marcos, Marta; Hernández Carrasco, Ismael; Slangen, Aimée B. A.; 2022; Regional Sea-level Budget from 1993-2016 [Dataset]; Zenodo; Version 1.0; https://doi.org/10.5281/zenodo.7007331es_ES
dc.identifier.urihttp://hdl.handle.net/10261/338820-
dc.descriptionThis repository contains the following files: budget_components_ENS.nc. Regional (1x1 degree) trend, uncertainty and time series of the ensemble mean of each of the budget components: total sea-level change (from altimetry) and the drivers (steric, GRD and dynamic). If required the individual data sets used for the ensemble, please contact the author. -- masks.nc: netcdf containing land-ocean mask, as well as the domains maps (SOM and delta-MAPS). We refer to the manuscript for more information of how the regional domains were acquired. -- dmaps_trend.pkl (and .xlsx): Trend and uncertainties of each of the budget components for each delta-MAPS domains. Available as an excel table (.xlsx) and as pickle file (.pkl). -- som_trend.pkl (and .xlsx): Trend and uncertainties of each of the budget components for each SOM domains. Available as an excel table (.xlsx) and as pickle file (.pkl)es_ES
dc.description.abstractThis repository contains supporting data for Camargo et al.: 'Regionalizing Sea-level Budget with Machine Learning Techniques', Ocean Sciences (2022, submited).es_ES
dc.description.tableofcontentsbudget_components_ENS.nc-
dc.description.tableofcontentsdmaps_trends.pkl-
dc.description.tableofcontentsdmaps_trends.xlsx-
dc.description.tableofcontentsmasks.nc-
dc.description.tableofcontentsSOM_trends.pkl-
dc.description.tableofcontentsSOM_trends.xlsx-
dc.formatnces_ES
dc.formatpkles_ES
dc.formatapplication/vnd.ms-exceles_ES
dc.language.isoenges_ES
dc.publisherZenodoes_ES
dc.relation.isbasedonRegional Sea-level Budget from 1993-2016 [Dataset]. https://doi.org/10.5281/zenodo.7385561. http://hdl.handle.net/10261/338811-
dc.relation.isreferencedbyCamargo, Carolina M. L.; Riva, Riccardo; Hermans, Tim H. J.; Schütt, Eike M.; Marcos, Marta; Hernández Carrasco, Ismael; Slangen, Aimée B. A. Regionalizing the sea-level budget with machine learning techniques. https://doi.org/10.5194/os-19-17-2023. https://doi.org/10.5194/os-19-17-2023es_ES
dc.relation.requiresThe code to generate this data and the manuscript figures can be found at https://github.com/carocamargo/SLBes_ES
dc.rightsopenAccesses_ES
dc.subjectSea-level changeses_ES
dc.subjectAltimetryes_ES
dc.subjectSea-level budgetes_ES
dc.subjectSelf-organising mapses_ES
dc.subjectDelta-mapses_ES
dc.titleRegional Sea-level Budget from 1993-2016 [Dataset]es_ES
dc.typedatasetes_ES
dc.typedatos geoespaciales-
dc.identifier.doi10.5281/zenodo.7007331-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.5281/zenodo.7007331es_ES
dc.rights.licensehttp://creativecommons.org/licenses/by/4.0/es_ES
dc.relation.csicSíes_ES
oprm.item.hasRevisionno ko 0 false*
dc.contributor.orcidCamargo, Carolina M. L. [0000-0002-8712-0624]es_ES
dc.contributor.orcidRiva, Riccardo [0000-0002-2042-5669]es_ES
dc.contributor.orcidHermans, Tim H. J. [0000-0002-0253-9291]es_ES
dc.contributor.orcidSchütt, Eike M. [0000-0003-4962-9232]es_ES
dc.contributor.orcidMarcos, Marta [0000-0001-9975-5013]es_ES
dc.contributor.orcidHernández Carrasco, Ismael [0000-0002-4574-0198]es_ES
dc.contributor.orcidSlangen, Aimée B. A. [0000-0001-6268-6683]es_ES
dc.contributor.contactPersonCamargo, Carolina M. L. [carolina.camargo@nioz.nl]es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_ddb1es_ES
dc.type.coarhttp://purl.org/coar/resource_type/2H0M-X761es_ES
item.openairetypedataset-
item.openairetypedatos geoespaciales-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.cerifentitytypeProducts-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_ddb1-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Aparece en las colecciones: (IMEDEA) Conjuntos de datos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato
budget_components_ENS.nc587,28 MBMastercam Numerical Control FileVisualizar/Abrir
dmaps_trends.pkl14,35 kBPython pickleVisualizar/Abrir
dmaps_trends.xlsx23,28 kBMicrosoft Excel XMLVisualizar/Abrir
masks.nc1,54 MBMastercam Numerical Control FileVisualizar/Abrir
SOM_trends.pkl3,48 kBPython picklesVisualizar/Abrir
SOM_trends.xlsx8,47 kBMicrosoft Excel XMLVisualizar/Abrir
README.txt1,68 kBTextVisualizar/Abrir
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