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dc.contributor.authorAlbaina Vivanco, Aitor
dc.contributor.authorBioTIME core Team
dc.date.accessioned2025-05-19T12:27:20Z
dc.date.available2025-05-19T12:27:20Z
dc.date.issued2025-05-14
dc.identifier.citationGlobal Ecology and Biogeography 34(5) : (2025) // Article ID e70003es_ES
dc.identifier.issn1466-8238
dc.identifier.issn1466-822X
dc.identifier.urihttp://hdl.handle.net/10810/73547
dc.description.abstractMotivation: 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.es_ES
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/ERC/727440es_ES
dc.relationinfo:eu-repo/grantAgreement/EC/ERC/250189es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectassemblagees_ES
dc.subjectbiodiversityes_ES
dc.subjectcommunityes_ES
dc.subjectdatabasees_ES
dc.subjectecoinformaticses_ES
dc.subjectspecieses_ES
dc.subjecttaxaes_ES
dc.subjecttimees_ES
dc.titleBioTIME 2.0: Expanding and improving a database of biodiversity time series.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2025 The Author(s). Global Ecology and Biogeography published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.es_ES
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/10.1111/geb.70003es_ES
dc.identifier.doi10.1111/geb.70003
dc.contributor.funderEuropean Commission
dc.departamentoesZoología y biología celular animales_ES
dc.departamentoeuZoologia eta animalia zelulen biologiaes_ES


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© 2025 The Author(s). Global Ecology and Biogeography published by John Wiley & Sons Ltd.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as © 2025 The Author(s). Global Ecology and Biogeography published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.