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
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/268308
Ver los metadatos del registro completo
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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 Técnicas2025-10-22T12:12:05Zoai: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:34982025-10-22 12:12:06.099CONICET 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 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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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 |
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eng |
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eng |
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Wiley Blackwell Publishing, Inc |
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Wiley Blackwell Publishing, Inc |
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