Replication Data for: Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived Seabird

</p>This dataset contains different supplementary material of Genovart et al. 2024, "Individual choices of wintering areas drive adult survival heterogeneity in a long-lived seabird", Ecology and Evolution, to be able to replicate these and similar results: <p> </p>- R co...

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Detalles Bibliográficos
Autores: Ramos i Garcia, Raül, Militão, Teresa
Tipo de recurso: conjunto de datos
Fecha de publicación:2024
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::3ece546fe996d7bd81d701fa554ebb43
Acceso en línea:https://doi.org/10.34810/DATA1864
Access Level:acceso abierto
Palabra clave:Earth and Environmental Sciences
GLS modelling
Calonectris diomedea
light level geolocators
geolocation analysis
Scopoli's shearwater
remote tracking
migration
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oai_identifier_str oai:dnet:cora.rdr____::3ece546fe996d7bd81d701fa554ebb43
network_acronym_str ES
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repository_id_str
spelling Replication Data for: Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived SeabirdRamos i Garcia, RaülMilitão, TeresaEarth and Environmental SciencesGLS modellingCalonectris diomedealight level geolocatorsgeolocation analysisScopoli's shearwaterremote trackingmigration</p>This dataset contains different supplementary material of Genovart et al. 2024, "Individual choices of wintering areas drive adult survival heterogeneity in a long-lived seabird", Ecology and Evolution, to be able to replicate these and similar results: <p> </p>- R code for users: R scripts allow to estimate values of zenith, zenith0 and alpha (mean & sd) for every geolocator from the calibration periods. Also, they allow to model twlight and geolocation data to ultimately estimate coordinates. </p>- Data on three examples of the study, including: (a) geolocation data (.lig & .trn files), (b) key date information on activation and calibration of those three geolocators as well as the specific phenology of the examples (.csv files), and (c) a landmask we used for the data filtering (spatial polygons).CORA.Repositori de Dades de RecercaRamos i Garcia, Raül2024info:eu-repo/semantics/datasethttps://doi.org/10.34810/DATA1864reponame:CORA.Repositori de Dades de Recercainstname:Consorci de Serveis Universitaris de Catalunya (CSUC)Inglésinfo:eu-repo/semantics/openAccessCC BY-NC 4.0oai:dnet:cora.rdr____::3ece546fe996d7bd81d701fa554ebb432026-06-17T12:20:17Z
dc.title.none.fl_str_mv Replication Data for: Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived Seabird
title Replication Data for: Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived Seabird
spellingShingle Replication Data for: Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived Seabird
Ramos i Garcia, Raül
Earth and Environmental Sciences
GLS modelling
Calonectris diomedea
light level geolocators
geolocation analysis
Scopoli's shearwater
remote tracking
migration
title_short Replication Data for: Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived Seabird
title_full Replication Data for: Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived Seabird
title_fullStr Replication Data for: Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived Seabird
title_full_unstemmed Replication Data for: Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived Seabird
title_sort Replication Data for: Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived Seabird
dc.creator.none.fl_str_mv Ramos i Garcia, Raül
Militão, Teresa
author Ramos i Garcia, Raül
author_facet Ramos i Garcia, Raül
Militão, Teresa
author_role author
author2 Militão, Teresa
author2_role author
dc.contributor.none.fl_str_mv Ramos i Garcia, Raül
dc.subject.none.fl_str_mv Earth and Environmental Sciences
GLS modelling
Calonectris diomedea
light level geolocators
geolocation analysis
Scopoli's shearwater
remote tracking
migration
topic Earth and Environmental Sciences
GLS modelling
Calonectris diomedea
light level geolocators
geolocation analysis
Scopoli's shearwater
remote tracking
migration
description </p>This dataset contains different supplementary material of Genovart et al. 2024, "Individual choices of wintering areas drive adult survival heterogeneity in a long-lived seabird", Ecology and Evolution, to be able to replicate these and similar results: <p> </p>- R code for users: R scripts allow to estimate values of zenith, zenith0 and alpha (mean & sd) for every geolocator from the calibration periods. Also, they allow to model twlight and geolocation data to ultimately estimate coordinates. </p>- Data on three examples of the study, including: (a) geolocation data (.lig & .trn files), (b) key date information on activation and calibration of those three geolocators as well as the specific phenology of the examples (.csv files), and (c) a landmask we used for the data filtering (spatial polygons).
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv https://doi.org/10.34810/DATA1864
url https://doi.org/10.34810/DATA1864
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
CC BY-NC 4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv CC BY-NC 4.0
dc.publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
dc.source.none.fl_str_mv reponame:CORA.Repositori de Dades de Recerca
instname:Consorci de Serveis Universitaris de Catalunya (CSUC)
instname_str Consorci de Serveis Universitaris de Catalunya (CSUC)
reponame_str CORA.Repositori de Dades de Recerca
collection CORA.Repositori de Dades de Recerca
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869425339078279168
score 15,81155

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