BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027073%3A_____%2F25%3AN0000044" target="_blank" >RIV/00027073:_____/25:N0000044 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/25:10515052
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70003?src=getftr&utm_source=clarivate&getft_integrator=clarivate" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70003?src=getftr&utm_source=clarivate&getft_integrator=clarivate</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/geb.70003" target="_blank" >10.1111/geb.70003</a>
Alternative languages
Result language
angličtina
Original language name
BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
Original language description
MotivationHere, 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 IncludedThe 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 GrainSampling 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 GrainThe 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 MeasurementThe database includes any eukaryotic taxa, with a combined total of 56,400 taxa.Software Formatcsv and. SQL.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10508 - Physical geography
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
GLOBAL ECOLOGY AND BIOGEOGRAPHY
ISSN
1466-822X
e-ISSN
1466-8238
Volume of the periodical
34
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
e70003
UT code for WoS article
001496175000017
EID of the result in the Scopus database
2-s2.0-105013766784