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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Dan Morris</author_name><author_url>https://www.microsoft.com/en-us/research/people/dan/</author_url><title>The GeoLifeCLEF 2020 Dataset - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="Kv8r32chqX"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/the-geolifeclef-2020-dataset/"&gt;The GeoLifeCLEF 2020 Dataset&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/the-geolifeclef-2020-dataset/embed/#?secret=Kv8r32chqX" width="600" height="338" title="&#x201C;The GeoLifeCLEF 2020 Dataset&#x201D; &#x2014; Microsoft Research" data-secret="Kv8r32chqX" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>Understanding the geographic distribution of species is a key concern in conservation. By pairing species occurrences with environmental features, researchers can model the relationship between an environment and the species which may be found there. To facilitate research in this area, we present the GeoLifeCLEF 2020 dataset, which consists of 1.9 million species observations paired [&hellip;]</description></oembed>
