Directory of Atmospheric, Hydrographic and Biological datasets for the Canary Current Large Marine Ecosystem

The Canary Current Large Marine Ecosystem (CCLME) is a major upwelling region off the coast of northwest Africa. A total of 425 datasets, 27 databases and 21 time-series sites have been identified in the area. A substantial part of them were rescued from archives supported in paper copy. The current directory refers to 85 datasets, databases and time-series sites. This catalogue and the recovered data offer an exceptional opportunity for the researchers in the CCLME to study the dynamics and trends of a multiplicity of variables, and will enable them to explore different data sources and create their own baselines and climatologies under a spatial and temporal perspective.

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Bibliographic Details
Main Authors: Déniz-González, Itahisa, Pascual-Alayón, Pedro J., Chioua, Jamal, García-Santamaría, M. Teresa, Valdés, Luis
Format: Report biblioteca
Language:English
Published: IOC-UNESCO 2014
Subjects:Large marine ecosystems, Metadata, Atmospheric data, ASFA_2015::D::Directories, ASFA_2015::H::Hydrographic data, ASFA_2015::B::Biological data, ASFA_2015::D::Databases,
Online Access:http://hdl.handle.net/1834/9251
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spelling dig-aquadocs-1834-92512021-05-19T07:02:01Z Directory of Atmospheric, Hydrographic and Biological datasets for the Canary Current Large Marine Ecosystem Déniz-González, Itahisa Pascual-Alayón, Pedro J. Chioua, Jamal García-Santamaría, M. Teresa Valdés, Luis Large marine ecosystems Metadata Atmospheric data ASFA_2015::D::Directories ASFA_2015::H::Hydrographic data ASFA_2015::B::Biological data ASFA_2015::D::Databases The Canary Current Large Marine Ecosystem (CCLME) is a major upwelling region off the coast of northwest Africa. A total of 425 datasets, 27 databases and 21 time-series sites have been identified in the area. A substantial part of them were rescued from archives supported in paper copy. The current directory refers to 85 datasets, databases and time-series sites. This catalogue and the recovered data offer an exceptional opportunity for the researchers in the CCLME to study the dynamics and trends of a multiplicity of variables, and will enable them to explore different data sources and create their own baselines and climatologies under a spatial and temporal perspective. Spanish Agency for International Development Cooperation (AECID) Published 2016-09-22T15:14:19Z 2016-09-22T15:14:19Z 2014 Report Not Known http://hdl.handle.net/1834/9251 en Intergovernmental Oceanographic Commission, Technical Series;110 http://www.unesco.org/new/ioc_ts110 214pp. Canary Current Northwest Africa IOC-UNESCO Paris, France
institution UNESCO
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-aquadocs
tag biblioteca
region Europa del Oeste
libraryname Repositorio AQUADOCS
language English
topic Large marine ecosystems
Metadata
Atmospheric data
ASFA_2015::D::Directories
ASFA_2015::H::Hydrographic data
ASFA_2015::B::Biological data
ASFA_2015::D::Databases
Large marine ecosystems
Metadata
Atmospheric data
ASFA_2015::D::Directories
ASFA_2015::H::Hydrographic data
ASFA_2015::B::Biological data
ASFA_2015::D::Databases
spellingShingle Large marine ecosystems
Metadata
Atmospheric data
ASFA_2015::D::Directories
ASFA_2015::H::Hydrographic data
ASFA_2015::B::Biological data
ASFA_2015::D::Databases
Large marine ecosystems
Metadata
Atmospheric data
ASFA_2015::D::Directories
ASFA_2015::H::Hydrographic data
ASFA_2015::B::Biological data
ASFA_2015::D::Databases
Déniz-González, Itahisa
Pascual-Alayón, Pedro J.
Chioua, Jamal
García-Santamaría, M. Teresa
Valdés, Luis
Directory of Atmospheric, Hydrographic and Biological datasets for the Canary Current Large Marine Ecosystem
description The Canary Current Large Marine Ecosystem (CCLME) is a major upwelling region off the coast of northwest Africa. A total of 425 datasets, 27 databases and 21 time-series sites have been identified in the area. A substantial part of them were rescued from archives supported in paper copy. The current directory refers to 85 datasets, databases and time-series sites. This catalogue and the recovered data offer an exceptional opportunity for the researchers in the CCLME to study the dynamics and trends of a multiplicity of variables, and will enable them to explore different data sources and create their own baselines and climatologies under a spatial and temporal perspective.
format Report
topic_facet Large marine ecosystems
Metadata
Atmospheric data
ASFA_2015::D::Directories
ASFA_2015::H::Hydrographic data
ASFA_2015::B::Biological data
ASFA_2015::D::Databases
author Déniz-González, Itahisa
Pascual-Alayón, Pedro J.
Chioua, Jamal
García-Santamaría, M. Teresa
Valdés, Luis
author_facet Déniz-González, Itahisa
Pascual-Alayón, Pedro J.
Chioua, Jamal
García-Santamaría, M. Teresa
Valdés, Luis
author_sort Déniz-González, Itahisa
title Directory of Atmospheric, Hydrographic and Biological datasets for the Canary Current Large Marine Ecosystem
title_short Directory of Atmospheric, Hydrographic and Biological datasets for the Canary Current Large Marine Ecosystem
title_full Directory of Atmospheric, Hydrographic and Biological datasets for the Canary Current Large Marine Ecosystem
title_fullStr Directory of Atmospheric, Hydrographic and Biological datasets for the Canary Current Large Marine Ecosystem
title_full_unstemmed Directory of Atmospheric, Hydrographic and Biological datasets for the Canary Current Large Marine Ecosystem
title_sort directory of atmospheric, hydrographic and biological datasets for the canary current large marine ecosystem
publisher IOC-UNESCO
publishDate 2014
url http://hdl.handle.net/1834/9251
work_keys_str_mv AT denizgonzalezitahisa directoryofatmospherichydrographicandbiologicaldatasetsforthecanarycurrentlargemarineecosystem
AT pascualalayonpedroj directoryofatmospherichydrographicandbiologicaldatasetsforthecanarycurrentlargemarineecosystem
AT chiouajamal directoryofatmospherichydrographicandbiologicaldatasetsforthecanarycurrentlargemarineecosystem
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AT valdesluis directoryofatmospherichydrographicandbiologicaldatasetsforthecanarycurrentlargemarineecosystem
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