Dataset Open Access

BioTIME

BioTIME Consortium


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{
  "description": "<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>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Centre for Biological Diversity and Scottish Oceans Institute, School of Biology, University of St. Andrews, St. Andrews, UK", 
      "@type": "Person", 
      "name": "BioTIME Consortium"
    }
  ], 
  "url": "https://zenodo.org/record/5026943", 
  "datePublished": "2018-04-02", 
  "version": "2", 
  "keywords": [
    "time series", 
    "ecology", 
    "biodiversity", 
    "anthropocene", 
    "spatial and temporal analysis"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/88d0ec78-6c7e-435f-bc6a-7924233a5e22/BioTIMECitations_24_06_2021.csv", 
      "encodingFormat": "csv", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/88d0ec78-6c7e-435f-bc6a-7924233a5e22/BioTIMECitations_24_06_2021.xlsx", 
      "encodingFormat": "xlsx", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/88d0ec78-6c7e-435f-bc6a-7924233a5e22/BioTIMEInteractions_02_04_2018.Rmd", 
      "encodingFormat": "rmd", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/88d0ec78-6c7e-435f-bc6a-7924233a5e22/BioTIMEMetadata_24_06_2021.csv", 
      "encodingFormat": "csv", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/88d0ec78-6c7e-435f-bc6a-7924233a5e22/BioTIMEQuery_24_06_2021.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/88d0ec78-6c7e-435f-bc6a-7924233a5e22/BioTIMESQL_24_06_2021.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.5026943", 
  "@id": "https://doi.org/10.5281/zenodo.5026943", 
  "@type": "Dataset", 
  "name": "BioTIME"
}
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