Dataset Open Access
BioTIME Consortium
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.5026943</identifier> <creators> <creator> <creatorName>BioTIME Consortium</creatorName> <affiliation>Centre for Biological Diversity and Scottish Oceans Institute, School of Biology, University of St. Andrews, St. Andrews, UK</affiliation> </creator> </creators> <titles> <title>BioTIME</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2018</publicationYear> <subjects> <subject>time series</subject> <subject>ecology</subject> <subject>biodiversity</subject> <subject>anthropocene</subject> <subject>spatial and temporal analysis</subject> </subjects> <dates> <date dateType="Issued">2018-04-02</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5026943</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1095627</relatedIdentifier> </relatedIdentifiers> <version>2</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. The database consists of 11 tables; one raw data table plus ten related meta data tables. For further information please see our associated data paper.</p> <p>This data consists of several elements:</p> <ul> <li>BioTIMESQL_24_06_2021.sql - an SQL file for the full public version of BioTIME which can be imported into any mySQL database.&nbsp;</li> <li>BioTIMEQuery_24_06_2021.csv - data file, although too large to view in Excel, this can be read into several software applications such as R or various database packages.&nbsp;</li> <li>BioTIMEMetadata_24_06_2021.csv&nbsp; - file containing the meta data for all studies.&nbsp;</li> <li>BioTIMECitations_24_06_2021.csv - file containing the citation list for all studies.&nbsp;</li> <li>BioTIMECitations_24_06_2021.xlsx - file containing the citation list for all studies (some special characters are not supported in the csv format).&nbsp;</li> <li>BioTIMEInteractions_02_04_2018.Rmd - an r markdown page providing a brief overview of how to interact with the database and associated .csv files (this will not work until field paths and database connections have been added/updated).</li> </ul> <p>Please note: any users of any of this material should cite the associated data paper in addition to the DOI listed here.</p> <p>To cite the data paper use the following:</p> <p>Dornelas M, Ant&atilde;o LH, Moyes F, Bates, AE, Magurran, AE, et al. BioTIME: A database of biodiversity time series for the Anthropocene.&nbsp;<em>Global Ecol Biogeogr.</em>&nbsp;2018; 27:760 - 786. https://doi.org/10.1111/geb.12729</p></description> </descriptions> </resource>
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