Physalia physalis abundance on the shores in the Mediterranean Sea during 2010, 2013 and 2018 compiled by ICMAN (CSIC)

The database provides Physalia physalis abundance on the shores of the Mediterranean Sea. The dataset is provided as [space] delimitated plain text file within a compressed folder that also includes a single README file (in text format) containing a detailed description of the data structure. For mo...

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Detalhes bibliográficos
Autor: Prieto, Laura
Formato: conjunto de datos
Fecha de publicación:2021
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/244755
Acesso em linha:http://hdl.handle.net/10261/244755
Access Level:acceso abierto
Palavra-chave:Jellyfish
Gelatinous zooplankton
Physalia physalis
Mediterranean Sea
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spelling Physalia physalis abundance on the shores in the Mediterranean Sea during 2010, 2013 and 2018 compiled by ICMAN (CSIC)Prieto, LauraJellyfishGelatinous zooplanktonPhysalia physalisMediterranean SeaThe database provides Physalia physalis abundance on the shores of the Mediterranean Sea. The dataset is provided as [space] delimitated plain text file within a compressed folder that also includes a single README file (in text format) containing a detailed description of the data structure. For more details, see the publication: Macias, D., Prieto, L., Garcia-Gorriz, E., 2021. A model-based management tool to predict the spread of Physalia physalis in the Mediterranean Sea. Minimizing risks for coastal activities. Oceanography and Coastal Management (accepted).[General Notes] The data are provided under an Attribution-ShareAlike 4.0 International license. However, if you use the data, so as to support the authors, please consider citing the above mentioned article where data collection and analytical techniques are given in detail. Here we only give a brief details and a guide to the contents of the data files. Data files are in UTF8 encoding, plain text format with space used as the delimiter. One column is written for each measured parameter. The order of each column is: Day, Month, Year, Number of colonies stranded, Latitude, Longitude and Julian Day. Missing data are filled with NaN.[Geographical coordinates of the sampling area] coordinates.txt provides the geographical coordinates of the sampling area. ST.ID represents the code (used to link to other data tables) for each site. long and lat are longitude and latitude, respectively.The dataset is subject to a Creative Commons License Attribution-ShareAlike 4.0 International.This data set includes data collected from ICMAN-CSIC (Spain) during three years of high abundance of these colonies in the Mediterranean basin: 2010, 2013 and 2018 that have been used to build a prognosis tool (model) for the Mediterranean Sea.This research was supported by the Project Agreement "Sistema de Observación y Predicción de Medusas en el Mar Balear” among Govern des Illes Balears, SOCIB and CSIC (Disposición 15052, BOE núm. 310, 2020).Peer reviewedDIGITAL.CSICGovern de les Illes BalearsConsejo Superior de Investigaciones Científicas (España)Sistema d’observació i predicció costaner de les Illes BalearsPrieto, Laura [0000-0003-4704-7757]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202120212021info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1http://hdl.handle.net/10261/244755reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésMacías, Diego ; Prieto, Laura ; Garcia-Gorriz, Elisa., 2021. A model-based management tool to predict the spread of Physalia physalis in the Mediterranean Sea. Minimizing risks for coastal activities. Ocean & Coastal Management. https://doi.org/10.1016/j.ocecoaman.2021.105810 . http://hdl.handle.net/10261/245714Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2447552026-05-22T06:33:51Z
dc.title.none.fl_str_mv Physalia physalis abundance on the shores in the Mediterranean Sea during 2010, 2013 and 2018 compiled by ICMAN (CSIC)
title Physalia physalis abundance on the shores in the Mediterranean Sea during 2010, 2013 and 2018 compiled by ICMAN (CSIC)
spellingShingle Physalia physalis abundance on the shores in the Mediterranean Sea during 2010, 2013 and 2018 compiled by ICMAN (CSIC)
Prieto, Laura
Jellyfish
Gelatinous zooplankton
Physalia physalis
Mediterranean Sea
title_short Physalia physalis abundance on the shores in the Mediterranean Sea during 2010, 2013 and 2018 compiled by ICMAN (CSIC)
title_full Physalia physalis abundance on the shores in the Mediterranean Sea during 2010, 2013 and 2018 compiled by ICMAN (CSIC)
title_fullStr Physalia physalis abundance on the shores in the Mediterranean Sea during 2010, 2013 and 2018 compiled by ICMAN (CSIC)
title_full_unstemmed Physalia physalis abundance on the shores in the Mediterranean Sea during 2010, 2013 and 2018 compiled by ICMAN (CSIC)
title_sort Physalia physalis abundance on the shores in the Mediterranean Sea during 2010, 2013 and 2018 compiled by ICMAN (CSIC)
dc.creator.none.fl_str_mv Prieto, Laura
author Prieto, Laura
author_facet Prieto, Laura
author_role author
dc.contributor.none.fl_str_mv Govern de les Illes Balears
Consejo Superior de Investigaciones Científicas (España)
Sistema d’observació i predicció costaner de les Illes Balears
Prieto, Laura [0000-0003-4704-7757]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Jellyfish
Gelatinous zooplankton
Physalia physalis
Mediterranean Sea
topic Jellyfish
Gelatinous zooplankton
Physalia physalis
Mediterranean Sea
description The database provides Physalia physalis abundance on the shores of the Mediterranean Sea. The dataset is provided as [space] delimitated plain text file within a compressed folder that also includes a single README file (in text format) containing a detailed description of the data structure. For more details, see the publication: Macias, D., Prieto, L., Garcia-Gorriz, E., 2021. A model-based management tool to predict the spread of Physalia physalis in the Mediterranean Sea. Minimizing risks for coastal activities. Oceanography and Coastal Management (accepted).
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
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/10261/244755
url http://hdl.handle.net/10261/244755
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Macías, Diego ; Prieto, Laura ; Garcia-Gorriz, Elisa., 2021. A model-based management tool to predict the spread of Physalia physalis in the Mediterranean Sea. Minimizing risks for coastal activities. Ocean & Coastal Management. https://doi.org/10.1016/j.ocecoaman.2021.105810 . http://hdl.handle.net/10261/245714
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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_ 1869419316193001472
score 15.81155

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