April 2, 2018 Dataset Open Access

BioTIME Consortium

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5026943", 
  "title": "BioTIME", 
  "issued": {
    "date-parts": [
      [
        2018, 
        4, 
        2
      ]
    ]
  }, 
  "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>\n\n<p>This data consists of several elements:</p>\n\n<ul>\n\t<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>\n\t<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>\n\t<li>BioTIMEMetadata_24_06_2021.csv&nbsp; - file containing the meta data for all studies.&nbsp;</li>\n\t<li>BioTIMECitations_24_06_2021.csv - file containing the citation list for all studies.&nbsp;</li>\n\t<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>\n\t<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>\n</ul>\n\n<p>Please note: any users of any of this material should cite the associated data paper in addition to the DOI listed here.</p>\n\n<p>To cite the data paper use the following:</p>\n\n<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>", 
  "author": [
    {
      "family": "BioTIME Consortium"
    }
  ], 
  "version": "2", 
  "type": "dataset", 
  "id": "5026943"
}