Species & Countries

⚠ This data hasn't been normalized — the same species can appear multiple times under slightly different spellings or wording, so counts are split across those variants instead of being merged.

⚠ This is heavily biased by which conventions are in the data set — mainly French, German & Swedish conventions, so those countries are overrepresented.