TY - JOUR
T1 - BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
AU - Dornelas et al.
AU - Dornelas, Maria
AU - Antão, Laura H.
AU - Bates, Amanda E.
AU - Brambilla, Viviana
AU - Chase, Jonathan M.
AU - Chow, Cher F. Y.
AU - Fontrodona-Eslava, Ada
AU - Magurran, Anne E.
AU - Martins, Inês S.
AU - Moyes, Faye
AU - Sagouis, Alban
AU - Adu-Acheampong, Samuel
AU - Acquah-Lamptey, Daniel
AU - Adam, Dušan
AU - Ajani, Penelope A.
AU - Albaina, Aitor
AU - Almaraz, Pablo
AU - An, Jeongseop
AU - Anderson, Roger Sigismund
AU - Anderson, Madelaine Jean Robertson
AU - Antunes, Alexsander Z.
AU - Arismendi, Ivan
AU - Armbrecht, Linda
AU - Aros-Mardones, Pedro
AU - Ashtamoorthy, Sreejith Kalpuzha
AU - Ayyappan, Narayanan
AU - Badihi, Gal
AU - Bailey, Joseph J.
AU - Baird, Andrew H.
AU - Baird, Mark Edward
AU - Balakrishnan, Sreekumar Vadakkethil
AU - Barão-Nóbrega, José António L.
AU - Barash, Adi
AU - Barbosa, Miguel
AU - Barlow, Jos
AU - Bässler, Claus
AU - Beaumont, Matthieu
AU - Beenaerts, Natalie
AU - Begot, Tiago Octavio
AU - Beiroz, Wallace
AU - Beldade, Ricardo
AU - Bell, David M.
AU - Bellgrove, Alecia
AU - Belmaker, Jonathan
AU - Benedetti-Cecchi, Lisandro
AU - Benkwitt, Cassandra E.
AU - Berkum, Pamela Medina-van
AU - Bestelmeyer, Brandon T.
AU - Betts, Matthew G.
AU - Van Hoey, Gert
N1 - e70003 GEB-2024-0225.R1
PY - 2025/5/1
Y1 - 2025/5/1
N2 - 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.
AB - 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.
KW - assemblage
KW - biodiversity
KW - community
KW - database
KW - ecoinformatics
KW - species
KW - taxa
KW - time
KW - assemblage
KW - biodiversity
KW - community
KW - database
KW - ecoinformatics
KW - species
KW - taxa
KW - time
UR - https://www.mendeley.com/catalogue/9e07341f-47e3-33db-bc91-794dee3ee7c4/
U2 - 10.1111/geb.70003
DO - 10.1111/geb.70003
M3 - A1: Web of Science-article
SN - 1466-8238
VL - 34
SP - e70003
JO - Global ecology and biogeography
JF - Global ecology and biogeography
IS - 5
ER -