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

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; Adam, Dušan; Ajani, Penelope A.; Albaina, Aitor; Almaraz, Pablo; An, Jeongseop; Anderson, Roger Sigismund; Anderson, Madelaine Jean Robertson; Antunes, Alexsander Z.; Arismendi, Ivan; Armbrecht, Linda; Aros‐Mardones, Pedro; Ashtamoorthy, Sreejith Kalpuzha; Ayyappan, Narayanan; Badihi, Gal; Bailey, Joseph J.; Baird, Andrew H.; Baird, Mark Edward; Balakrishnan, Sreekumar Vadakkethil; Barão‐Nóbrega, José António L.; Barash, Adi; Barbosa, Miguel; Barlow, Jos; Bässler, Claus; Beaumont, Matthieu; Beenaerts, Natalie; Begot, Tiago Octavio; Beiroz, Wallace; Beldade, Ricardo; Bell, David M.; Bellgrove, Alecia; Belmaker, Jonathan; Benedetti‐Cecchi, Lisandro; Benkwitt, Cassandra E.; Berkum, Pamela Medina‐van; Bestelmeyer, Brandon T.; Betts, Matthew G.; B...

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.

• Journal Article Type: Article
• Acceptance Date: Jan 20, 2025
• Online Publication Date: May 14, 2025
• Publication Date: May 1, 2025
• Deposit Date: May 20, 2025
• Publicly Available Date: May 22, 2025
• Journal: Global Ecology and Biogeography
• Print ISSN: 1466-822X
• Electronic ISSN: 1466-8238
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 34
• Issue: 5
• Article Number: e70003
• DOI: https://doi.org/10.1111/geb.70003
• Keywords: database, species, time, community, taxa, ecoinformatics, biodiversity, assemblage