<b>Scirpts and data of the article "Boosting biodiversity monitoring </b><b>using smartphone-driven, </b><b>rapidly accumulating </b><b>community-sourced data"</b>

<br><b>checked_records</b><b>.csv</b><br>Result file of the quality assessment of data gathered through <i>Biome</i> app. <i>taxonGroup</i> indicates taxon of the recorded species (see Fig. 2 for definitions); <i>topORbottom </i>indicates the recorded species are common (top, top 15％ amount of <i>Biome </i>records in each <i>taxonGroup</i>; bottom, ≤10 records); <i>is_inapropriate</i>, whether the record is inappropriate; <i>is_nonwild</i>, whether the record documented non-wild or wild individuals; <i>is_wrong</i>, whether the species identification was wrong. <i>species_originalPost </i>and <i>family_originalPost </i>show the taxon of the original record, and <i>species_correct </i>and <i>family_correct </i>show the taxon of experts' identification. <br><b>occurrence data.zip</b><br>Data files of occurrence and pseudo-absence used in the analyses in the main text and supplementary files. It has the species name, GBIF taxonID and coordinates.<br><b>1_runMaxent_MainTextAndS4.R</b> and <b>1_runMaxent_S3.R</b><br>R scripts used for building species distribution models.<br><b>2_checkResults_MainTextAndS4.R</b> and <b>2_checkResults_S3.R</b><br>R scripts for summarising and analysing the accuracy of species distribution models.