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BioTIME: a database of biodiversity time series for the Anthropocene

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posted on 2018-07-01, 00:00 authored by Maria Dornelas, Laura H Antão, Faye Moyes, Amanda E Bates, Anne E Magurran, Dušan Adam, Asem A Akhmetzhanova, Ward Appeltans, José Manuel Arcos, Haley Arnold, Narayanan Ayyappan, Gal Badihi, Andrew H Baird, Miguel Barbosa, Tiago Egydio Barreto, Claus Bässler, Alecia BellgroveAlecia Bellgrove, Jonathan Belmaker, Lisandro Benedetti-Cecchi, Brian J Bett, Anne D Bjorkman, Magdalena Błażewicz, Shane A Blowes, Christopher P Bloch, Timothy C Bonebrake, Susan Boyd, Matt Bradford, Andrew J Brooks, James H Brown, Helge Bruelheide, Phaedra Budy, Fernando Carvalho, Edward Castañeda-Moya, Chaolun Allen Chen, John F Chamblee, Tory J Chase, Laura Siegwart Collier, Sharon K Collinge, Richard Condit, Elisabeth J Cooper, J Hans C Cornelissen, Unai Cotano, Shannan Kyle Crow, Gabriella Damasceno, Claire H Davies, Robert A Davis, Frank P Day, Steven Degraer, Tim DohertyTim Doherty, Timothy E Dunn, Giselda Durigan, J Emmett Duffy, Dor Edelist, Graham J Edgar, Robin Elahi, Sarah C Elmendorf, Anders Enemar, S K Morgan Ernest, Rubén Escribano, Marc Estiarte, Brian S Evans, Tung-Yung Fan, Fabiano Turini Farah, Luiz Loureiro Fernandes, Fábio Z Farneda, Alessandra Fidelis, Robert Fitt, Anna Maria Fosaa, Geraldo Antonio Daher Correa Franco, Grace E Frank, William R Fraser, Hernando García, Roberto Cazzolla Gatti, Or Givan, Elizabeth Gorgone-Barbosa, William A Gould, Corinna Gries, Gary D Grossman, Julio R Gutierréz, Stephen Hale, Mark E Harmon, John Harte, Gary Haskins, Donald L Henshaw, Luise Hermanutz, Pamela Hidalgo, Pedro Higuchi, Andrew Hoey, Gert Van Hoey, Annika Hofgaard, Kristen Holeck, Robert D Hollister, Richard Holmes, Mia Hoogenboom, Chih-Hao Hsieh, Stephen P Hubbell, Falk Huettmann, Christine L Huffard, Allen H Hurlbert, Natália Macedo Ivanauskas
Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format: .csv and .SQL.

History

Journal

Global ecology and biogeography

Volume

27

Issue

7

Pagination

760 - 786

Publisher

John Wiley & Sons

Location

Chichester, Eng.

ISSN

1466-822X

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2018, The Authors