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

Dornelas, M, Antão, LH, Bates, AE, Brambilla, V, Chase, JM, Chow, CFY, Fontrodona‐Eslava, A, Magurran, AE, Martins, IS, Moyes, F, Sagouis, A, Adu‐Acheampong, S, Acquah‐Lamptey, D, Adam, D, Ajani, PA, Albaina, A, Almaraz, P, An, J, Anderson, RS, Anderson, MJR et al (2025) BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series. Global Ecology and Biogeography, 34 (5). ISSN 1466-822X

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	41 Environmental Sciences; 31 Biological Sciences; 3103 Ecology; 0406 Physical Geography and Environmental Geoscience; 0501 Ecological Applications; 0602 Ecology; Ecology; 3103 Ecology; 4102 Ecological applications; 4104 Environmental management
Subjects:	Q Science > QH Natural history > QH301 Biology
Divisions:	Biological and Environmental Sciences (from Sep 19)
Publisher:	Wiley
Date of acceptance:	20 January 2025
Date of first compliant Open Access:	23 July 2025
Date Deposited:	23 Jul 2025 10:15
Last Modified:	23 Jul 2025 10:15
DOI or ID number:	10.1111/geb.70003
URI:	https://researchonline.ljmu.ac.uk/id/eprint/26820

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