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		<title>A Single Letter Apart: How Similar Species Names Threaten Biodiversity Big Data</title>
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		<pubDate>Mon, 19 Oct 2026 10:41:04 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Technology]]></category>
		<category><![CDATA[biodiversity informatics]]></category>
		<category><![CDATA[Damerau-Levenshtein distance]]></category>
		<category><![CDATA[data aggregation]]></category>
		<category><![CDATA[fuzzy matching]]></category>
		<category><![CDATA[homonymy]]></category>
		<category><![CDATA[marine species]]></category>
		<category><![CDATA[scientific nomenclature]]></category>
		<category><![CDATA[species names]]></category>
		<category><![CDATA[Taxamatch]]></category>
		<category><![CDATA[taxonomic standardisation]]></category>
		<category><![CDATA[taxonomy]]></category>
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					<description><![CDATA[A large-scale analysis of marine species names reveals that nearly one in five epithets within the same genus differ by three edits or fewer, exposing hidden risks in the fuzzy matching tools that underpin biodiversity big data.]]></description>
		
		
		
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