BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series

Autores
Dornelas, Maria; Antão, Laura H.; Bates, Amanda E.; Brambilla, Viviana; Chase, Jonathan M.; Chow, Cher F. Y.; Fontrodona Eslava, Ada; Magurran, Anne E.; Martins, Inês S.; Moyes, Faye; Sagouis, Alban; Adu Acheampong, Samuel; Acquah Lamptey, Daniel; Dušan, Adam; Ajani, Penelope A.; Albaina, Aitor; Almaraz, Pablo; An, Jeongseop; Anderson, Roger Sigismund; Robertson Anderson, Madelaine Jean; Antunes, Alexsander Z.; Arismendi, Ivan; Armbrecht, Linda; Aros Mardones, Pedro; Guinder, Valeria Ana; Yahel, Ruthy; Yang, Zeren; Zawada, Kyle J. A.; Zornosa Torres, Camila; Zvuloni, Assaf
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Motivation Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database. Main Types of Variables Included The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years. Spatial Location and Grain Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size. Time Period and Grain The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample-level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric. Major Taxa and Level of Measurement The database includes any eukaryotic taxa, with a combined total of 56,400 taxa. Software Format csv and. SQL.
Fil: Dornelas, Maria. University of St. Andrews; Reino Unido
Fil: Antão, Laura H.. University of Helsinki; Finlandia
Fil: Bates, Amanda E.. University of Victoria; Canadá
Fil: Brambilla, Viviana. Universidade Nova de Lisboa; Portugal
Fil: Chase, Jonathan M.. Martin Luther University Halle-Wittenberg; Alemania. German Centre for Integrative Biodiversity Research; Alemania
Fil: Chow, Cher F. Y.. University of St. Andrews; Reino Unido
Fil: Fontrodona Eslava, Ada. University of St. Andrews; Reino Unido
Fil: Magurran, Anne E.. University of St. Andrews; Reino Unido
Fil: Martins, Inês S.. University of St. Andrews; Reino Unido
Fil: Moyes, Faye. University of St. Andrews; Reino Unido
Fil: Sagouis, Alban. Martin Luther University Halle-Wittenberg; Alemania. German Centre for Integrative Biodiversity Research; Alemania
Fil: Adu Acheampong, Samuel. University of Ghana; Ghana
Fil: Acquah Lamptey, Daniel. Philipps Universität Marburg; Alemania
Fil: Dušan, Adam. Silva Tarouca Research Institute; República Checa
Fil: Ajani, Penelope A.. University of Technology Sydney; Australia
Fil: Albaina, Aitor. Universidad del País Vasco; España
Fil: Almaraz, Pablo. Instituto de Ciencias Marinas de Andalucía; España. Consejo Superior de Investigaciones Científicas; España
Fil: An, Jeongseop. National Institute of Ecology; Corea del Sur
Fil: Anderson, Roger Sigismund. University of Ghana; Ghana
Fil: Robertson Anderson, Madelaine Jean. University of Sherbrooke; Canadá
Fil: Antunes, Alexsander Z.. Instituto de Pesquisas Ambientais; Reino Unido
Fil: Arismendi, Ivan. State University of Oregon; Estados Unidos
Fil: Armbrecht, Linda. University of Tasmania; Australia
Fil: Aros Mardones, Pedro. Universidad de Concepción; Chile
Fil: Guinder, Valeria Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Yahel, Ruthy. Israel Nature and Parks Authority; Israel
Fil: Yang, Zeren. University of St. Andrews; Reino Unido
Fil: Zawada, Kyle J. A.. Macquarie University; Australia
Fil: Zornosa Torres, Camila. Universidade Estadual de Campinas; Brasil
Fil: Zvuloni, Assaf. Israel Nature and Parks Authority; Israel
Materia
Biodiversity
Global data base
Time Series
Taxa abundance
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/268308

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spelling BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time SeriesDornelas, MariaAntão, Laura H.Bates, Amanda E.Brambilla, VivianaChase, Jonathan M.Chow, Cher F. Y.Fontrodona Eslava, AdaMagurran, Anne E.Martins, Inês S.Moyes, FayeSagouis, AlbanAdu Acheampong, SamuelAcquah Lamptey, DanielDušan, AdamAjani, Penelope A.Albaina, AitorAlmaraz, PabloAn, JeongseopAnderson, Roger SigismundRobertson Anderson, Madelaine JeanAntunes, Alexsander Z.Arismendi, IvanArmbrecht, LindaAros Mardones, PedroGuinder, Valeria AnaYahel, RuthyYang, ZerenZawada, Kyle J. A.Zornosa Torres, CamilaZvuloni, AssafBiodiversityGlobal data baseTime SeriesTaxa abundancehttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Motivation Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database. Main Types of Variables Included The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years. Spatial Location and Grain Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size. Time Period and Grain The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample-level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric. Major Taxa and Level of Measurement The database includes any eukaryotic taxa, with a combined total of 56,400 taxa. Software Format csv and. SQL.Fil: Dornelas, Maria. University of St. Andrews; Reino UnidoFil: Antão, Laura H.. University of Helsinki; FinlandiaFil: Bates, Amanda E.. University of Victoria; CanadáFil: Brambilla, Viviana. Universidade Nova de Lisboa; PortugalFil: Chase, Jonathan M.. Martin Luther University Halle-Wittenberg; Alemania. German Centre for Integrative Biodiversity Research; AlemaniaFil: Chow, Cher F. Y.. University of St. Andrews; Reino UnidoFil: Fontrodona Eslava, Ada. University of St. Andrews; Reino UnidoFil: Magurran, Anne E.. University of St. Andrews; Reino UnidoFil: Martins, Inês S.. University of St. Andrews; Reino UnidoFil: Moyes, Faye. University of St. Andrews; Reino UnidoFil: Sagouis, Alban. Martin Luther University Halle-Wittenberg; Alemania. German Centre for Integrative Biodiversity Research; AlemaniaFil: Adu Acheampong, Samuel. University of Ghana; GhanaFil: Acquah Lamptey, Daniel. Philipps Universität Marburg; AlemaniaFil: Dušan, Adam. Silva Tarouca Research Institute; República ChecaFil: Ajani, Penelope A.. University of Technology Sydney; AustraliaFil: Albaina, Aitor. Universidad del País Vasco; EspañaFil: Almaraz, Pablo. Instituto de Ciencias Marinas de Andalucía; España. Consejo Superior de Investigaciones Científicas; EspañaFil: An, Jeongseop. National Institute of Ecology; Corea del SurFil: Anderson, Roger Sigismund. University of Ghana; GhanaFil: Robertson Anderson, Madelaine Jean. University of Sherbrooke; CanadáFil: Antunes, Alexsander Z.. Instituto de Pesquisas Ambientais; Reino UnidoFil: Arismendi, Ivan. State University of Oregon; Estados UnidosFil: Armbrecht, Linda. University of Tasmania; AustraliaFil: Aros Mardones, Pedro. Universidad de Concepción; ChileFil: Guinder, Valeria Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; ArgentinaFil: Yahel, Ruthy. Israel Nature and Parks Authority; IsraelFil: Yang, Zeren. University of St. Andrews; Reino UnidoFil: Zawada, Kyle J. A.. Macquarie University; AustraliaFil: Zornosa Torres, Camila. Universidade Estadual de Campinas; BrasilFil: Zvuloni, Assaf. Israel Nature and Parks Authority; IsraelWiley Blackwell Publishing, Inc2025-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/268308Dornelas, Maria; Antão, Laura H.; Bates, Amanda E.; Brambilla, Viviana; Chase, Jonathan M.; et al.; BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 34; 5; 5-2025; 1-181466-822XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/geb.70003info:eu-repo/semantics/altIdentifier/doi/10.1111/geb.70003info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:39:45Zoai:ri.conicet.gov.ar:11336/268308instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:39:45.816CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
title BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
spellingShingle BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
Dornelas, Maria
Biodiversity
Global data base
Time Series
Taxa abundance
title_short BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
title_full BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
title_fullStr BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
title_full_unstemmed BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
title_sort BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
dc.creator.none.fl_str_mv Dornelas, Maria
Antão, Laura H.
Bates, Amanda E.
Brambilla, Viviana
Chase, Jonathan M.
Chow, Cher F. Y.
Fontrodona Eslava, Ada
Magurran, Anne E.
Martins, Inês S.
Moyes, Faye
Sagouis, Alban
Adu Acheampong, Samuel
Acquah Lamptey, Daniel
Dušan, Adam
Ajani, Penelope A.
Albaina, Aitor
Almaraz, Pablo
An, Jeongseop
Anderson, Roger Sigismund
Robertson Anderson, Madelaine Jean
Antunes, Alexsander Z.
Arismendi, Ivan
Armbrecht, Linda
Aros Mardones, Pedro
Guinder, Valeria Ana
Yahel, Ruthy
Yang, Zeren
Zawada, Kyle J. A.
Zornosa Torres, Camila
Zvuloni, Assaf
author Dornelas, Maria
author_facet Dornelas, Maria
Antão, Laura H.
Bates, Amanda E.
Brambilla, Viviana
Chase, Jonathan M.
Chow, Cher F. Y.
Fontrodona Eslava, Ada
Magurran, Anne E.
Martins, Inês S.
Moyes, Faye
Sagouis, Alban
Adu Acheampong, Samuel
Acquah Lamptey, Daniel
Dušan, Adam
Ajani, Penelope A.
Albaina, Aitor
Almaraz, Pablo
An, Jeongseop
Anderson, Roger Sigismund
Robertson Anderson, Madelaine Jean
Antunes, Alexsander Z.
Arismendi, Ivan
Armbrecht, Linda
Aros Mardones, Pedro
Guinder, Valeria Ana
Yahel, Ruthy
Yang, Zeren
Zawada, Kyle J. A.
Zornosa Torres, Camila
Zvuloni, Assaf
author_role author
author2 Antão, Laura H.
Bates, Amanda E.
Brambilla, Viviana
Chase, Jonathan M.
Chow, Cher F. Y.
Fontrodona Eslava, Ada
Magurran, Anne E.
Martins, Inês S.
Moyes, Faye
Sagouis, Alban
Adu Acheampong, Samuel
Acquah Lamptey, Daniel
Dušan, Adam
Ajani, Penelope A.
Albaina, Aitor
Almaraz, Pablo
An, Jeongseop
Anderson, Roger Sigismund
Robertson Anderson, Madelaine Jean
Antunes, Alexsander Z.
Arismendi, Ivan
Armbrecht, Linda
Aros Mardones, Pedro
Guinder, Valeria Ana
Yahel, Ruthy
Yang, Zeren
Zawada, Kyle J. A.
Zornosa Torres, Camila
Zvuloni, Assaf
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Biodiversity
Global data base
Time Series
Taxa abundance
topic Biodiversity
Global data base
Time Series
Taxa abundance
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Motivation Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database. Main Types of Variables Included The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years. Spatial Location and Grain Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size. Time Period and Grain The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample-level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric. Major Taxa and Level of Measurement The database includes any eukaryotic taxa, with a combined total of 56,400 taxa. Software Format csv and. SQL.
Fil: Dornelas, Maria. University of St. Andrews; Reino Unido
Fil: Antão, Laura H.. University of Helsinki; Finlandia
Fil: Bates, Amanda E.. University of Victoria; Canadá
Fil: Brambilla, Viviana. Universidade Nova de Lisboa; Portugal
Fil: Chase, Jonathan M.. Martin Luther University Halle-Wittenberg; Alemania. German Centre for Integrative Biodiversity Research; Alemania
Fil: Chow, Cher F. Y.. University of St. Andrews; Reino Unido
Fil: Fontrodona Eslava, Ada. University of St. Andrews; Reino Unido
Fil: Magurran, Anne E.. University of St. Andrews; Reino Unido
Fil: Martins, Inês S.. University of St. Andrews; Reino Unido
Fil: Moyes, Faye. University of St. Andrews; Reino Unido
Fil: Sagouis, Alban. Martin Luther University Halle-Wittenberg; Alemania. German Centre for Integrative Biodiversity Research; Alemania
Fil: Adu Acheampong, Samuel. University of Ghana; Ghana
Fil: Acquah Lamptey, Daniel. Philipps Universität Marburg; Alemania
Fil: Dušan, Adam. Silva Tarouca Research Institute; República Checa
Fil: Ajani, Penelope A.. University of Technology Sydney; Australia
Fil: Albaina, Aitor. Universidad del País Vasco; España
Fil: Almaraz, Pablo. Instituto de Ciencias Marinas de Andalucía; España. Consejo Superior de Investigaciones Científicas; España
Fil: An, Jeongseop. National Institute of Ecology; Corea del Sur
Fil: Anderson, Roger Sigismund. University of Ghana; Ghana
Fil: Robertson Anderson, Madelaine Jean. University of Sherbrooke; Canadá
Fil: Antunes, Alexsander Z.. Instituto de Pesquisas Ambientais; Reino Unido
Fil: Arismendi, Ivan. State University of Oregon; Estados Unidos
Fil: Armbrecht, Linda. University of Tasmania; Australia
Fil: Aros Mardones, Pedro. Universidad de Concepción; Chile
Fil: Guinder, Valeria Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Yahel, Ruthy. Israel Nature and Parks Authority; Israel
Fil: Yang, Zeren. University of St. Andrews; Reino Unido
Fil: Zawada, Kyle J. A.. Macquarie University; Australia
Fil: Zornosa Torres, Camila. Universidade Estadual de Campinas; Brasil
Fil: Zvuloni, Assaf. Israel Nature and Parks Authority; Israel
description Motivation Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database. Main Types of Variables Included The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years. Spatial Location and Grain Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size. Time Period and Grain The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample-level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric. Major Taxa and Level of Measurement The database includes any eukaryotic taxa, with a combined total of 56,400 taxa. Software Format csv and. SQL.
publishDate 2025
dc.date.none.fl_str_mv 2025-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/268308
Dornelas, Maria; Antão, Laura H.; Bates, Amanda E.; Brambilla, Viviana; Chase, Jonathan M.; et al.; BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 34; 5; 5-2025; 1-18
1466-822X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/268308
identifier_str_mv Dornelas, Maria; Antão, Laura H.; Bates, Amanda E.; Brambilla, Viviana; Chase, Jonathan M.; et al.; BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 34; 5; 5-2025; 1-18
1466-822X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
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application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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