Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version)

Broullón, Daniel; Pérez, Fiz F.; Doval, M. Dolores

Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version)

The item is made of 6 files: 1) README.txt; 2) INTECMAR_NN-database.csv: Dataset containing all the input variables used compute the time series of AT and pH as well as these two computed variables; 3) Training_database.xlsx: Dataset containing the data to train and test the neural networks; 4) pH_N...

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Detalles Bibliográficos
Autores:	Broullón, Daniel, Pérez, Fiz F., Doval, M. Dolores
Tipo de recurso:	conjunto de datos
Fecha de publicación:	2020
País:	España
Institución:	Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:	DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:	oai:digital.csic.es:10261/220930
Acceso en línea:	http://hdl.handle.net/10261/220930
Access Level:	acceso abierto
Palabra clave:	Total alkalinity pH Time series Neural networks Ocean acidification Seasonal cycles Long-term trends http://aims.fao.org/aos/agrovoc/c_8721 http://aims.fao.org/aos/agrovoc/c_37467 http://aims.fao.org/aos/agrovoc/c_51289d95 alkalinity neural networks ocean acidification

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network_acronym_str	ES
network_name_str	España
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spelling	Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version)Broullón, DanielPérez, Fiz F.Doval, M. DoloresTotal alkalinitypHTime seriesNeural networksOcean acidificationSeasonal cyclesLong-term trendshttp://aims.fao.org/aos/agrovoc/c_8721http://aims.fao.org/aos/agrovoc/c_37467http://aims.fao.org/aos/agrovoc/c_51289d95alkalinityneural networksocean acidificationThe item is made of 6 files: 1) README.txt; 2) INTECMAR_NN-database.csv: Dataset containing all the input variables used compute the time series of AT and pH as well as these two computed variables; 3) Training_database.xlsx: Dataset containing the data to train and test the neural networks; 4) pH_NN.mat is the neural network object used to compute the pH time series; 5) AT_NN.mat is the neural network object used to compute the total alkalinity time series; 6) Source_code.rar contains the MATLAB files to configure, train and validate the neural networks created in this studyThis research was supported by Ministerio de Educación, Cultura y Deporte (FPU grant FPU15/06026) and Ministerio de Economía y Competitividad through the ARIOS (CTM2016-76146-C3-1-R) project co-funded by the Fondo Europeo de Desarrollo Regional 2014-2020 (FEDER)NoDIGITAL.CSICMinisterio de Economía y Competitividad (España)Ministerio de Educación, Cultura y Deporte (España)European CommissionBroullón, Daniel [0000-0002-5552-5272]Pérez, Fiz F. [0000-0003-4836-8974]Doval, M. Dolores [0000-0002-8565-8703]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202020202020info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1text/csvapplication/mattext/xlshttp://hdl.handle.net/10261/220930reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CTM2016-76146-C3-1-Ropenoffice/calcSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2209302026-05-22T06:33:51Z
dc.title.none.fl_str_mv	Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version)
title	Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version)
spellingShingle	Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version) Broullón, Daniel Total alkalinity pH Time series Neural networks Ocean acidification Seasonal cycles Long-term trends http://aims.fao.org/aos/agrovoc/c_8721 http://aims.fao.org/aos/agrovoc/c_37467 http://aims.fao.org/aos/agrovoc/c_51289d95 alkalinity neural networks ocean acidification
title_short	Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version)
title_full	Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version)
title_fullStr	Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version)
title_full_unstemmed	Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version)
title_sort	Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version)
dc.creator.none.fl_str_mv	Broullón, Daniel Pérez, Fiz F. Doval, M. Dolores
author	Broullón, Daniel
author_facet	Broullón, Daniel Pérez, Fiz F. Doval, M. Dolores
author_role	author
author2	Pérez, Fiz F. Doval, M. Dolores
author2_role	author author
dc.contributor.none.fl_str_mv	Ministerio de Economía y Competitividad (España) Ministerio de Educación, Cultura y Deporte (España) European Commission Broullón, Daniel [0000-0002-5552-5272] Pérez, Fiz F. [0000-0003-4836-8974] Doval, M. Dolores [0000-0002-8565-8703] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv	Total alkalinity pH Time series Neural networks Ocean acidification Seasonal cycles Long-term trends http://aims.fao.org/aos/agrovoc/c_8721 http://aims.fao.org/aos/agrovoc/c_37467 http://aims.fao.org/aos/agrovoc/c_51289d95 alkalinity neural networks ocean acidification
topic	Total alkalinity pH Time series Neural networks Ocean acidification Seasonal cycles Long-term trends http://aims.fao.org/aos/agrovoc/c_8721 http://aims.fao.org/aos/agrovoc/c_37467 http://aims.fao.org/aos/agrovoc/c_51289d95 alkalinity neural networks ocean acidification
description	The item is made of 6 files: 1) README.txt; 2) INTECMAR_NN-database.csv: Dataset containing all the input variables used compute the time series of AT and pH as well as these two computed variables; 3) Training_database.xlsx: Dataset containing the data to train and test the neural networks; 4) pH_NN.mat is the neural network object used to compute the pH time series; 5) AT_NN.mat is the neural network object used to compute the total alkalinity time series; 6) Source_code.rar contains the MATLAB files to configure, train and validate the neural networks created in this study
publishDate	2020
dc.date.none.fl_str_mv	2020 2020 2020
dc.type.none.fl_str_mv	info:eu-repo/semantics/dataset http://purl.org/coar/resource_type/c_ddb1
format	dataset
dc.identifier.none.fl_str_mv	http://hdl.handle.net/10261/220930
url	http://hdl.handle.net/10261/220930
dc.language.none.fl_str_mv	Inglés
language_invalid_str_mv	Inglés
dc.relation.none.fl_str_mv	#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CTM2016-76146-C3-1-R openoffice/calc Sí
dc.rights.none.fl_str_mv	info:eu-repo/semantics/openAccess
eu_rights_str_mv	openAccess
dc.format.none.fl_str_mv	text/csv application/mat text/xls
dc.publisher.none.fl_str_mv	DIGITAL.CSIC
publisher.none.fl_str_mv	DIGITAL.CSIC
dc.source.none.fl_str_mv	reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str	Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str	DIGITAL.CSIC. Repositorio Institucional del CSIC
collection	DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_	1869418487911284736
score	15,811543

Weekly reconstruction of pH and total alkalinity in an upwelling-dominated coastal ecosystem: The case of Ría de Vigo (NW Spain) between 1992 and 2019 (Discussions version)

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