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	<item>
		<title>The future of natural history specimen 3D digitization is here with COPIS</title>
		<link>https://methodsblog.com/2026/04/03/the-future-of-natural-history-specimen-3d-digitization-is-here-with-copis/</link>
					<comments>https://methodsblog.com/2026/04/03/the-future-of-natural-history-specimen-3d-digitization-is-here-with-copis/#respond</comments>
		
		<dc:creator><![CDATA[plydtanthera]]></dc:creator>
		<pubDate>Fri, 03 Apr 2026 14:53:59 +0000</pubDate>
				<category><![CDATA[Practical Tools]]></category>
		<category><![CDATA[3D model]]></category>
		<category><![CDATA[imaging]]></category>
		<category><![CDATA[Morphology]]></category>
		<category><![CDATA[natural history museum]]></category>
		<category><![CDATA[Photogrammetry]]></category>
		<category><![CDATA[robotics]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16319</guid>

					<description><![CDATA[Post provided by Jeremy D. Pustilnik and Genevieve S. Rios Natural history museums around the world collectively hold over one billion specimens in their collections, from animal skins and fossils to pressed plants, minerals, and cultural heritage artifacts. Only a small fraction of these objects is ever placed on public display, while most remain in collection cabinets where they are studied by scientists, but rarely &#8230;]]></description>
		
					<wfw:commentRss>https://methodsblog.com/2026/04/03/the-future-of-natural-history-specimen-3d-digitization-is-here-with-copis/feed/</wfw:commentRss>
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		<post-id xmlns="com-wordpress:feed-additions:1">16319</post-id>
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			<media:title type="html">Figure 2</media:title>
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			<media:title type="html">plydtanthera</media:title>
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		<media:content medium="image" url="https://methodsblog.com/wp-content/uploads/2026/03/figure-1.jpg?w=1024"/>

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	</item>
		<item>
		<title>What a national marine dataset taught us about the power of quality control and collaboration</title>
		<link>https://methodsblog.com/2026/04/01/what-a-national-marine-dataset-taught-us-about-the-power-of-quality-control-and-collaboration/</link>
					<comments>https://methodsblog.com/2026/04/01/what-a-national-marine-dataset-taught-us-about-the-power-of-quality-control-and-collaboration/#respond</comments>
		
		<dc:creator><![CDATA[plydtanthera]]></dc:creator>
		<pubDate>Wed, 01 Apr 2026 21:00:00 +0000</pubDate>
				<category><![CDATA[Ecology]]></category>
		<category><![CDATA[Practical Tools]]></category>
		<category><![CDATA[Data Cleaning]]></category>
		<category><![CDATA[Fish]]></category>
		<category><![CDATA[quality control]]></category>
		<category><![CDATA[R package]]></category>
		<category><![CDATA[Stereo-Video]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16310</guid>

					<description><![CDATA[Post provided by Brooke Bond (Gibbons) Ecologists often dream about big datasets—Combining observations from multiple studies across space and time could reveal patterns that would otherwise be impossible to detect. But anyone who has tried to merge datasets from different sources knows the reality is often less glamorous. My first job involved synthesising Baited Remote Underwater Video (BRUV) datasets from across Australia. BRUV systems use &#8230;]]></description>
		
					<wfw:commentRss>https://methodsblog.com/2026/04/01/what-a-national-marine-dataset-taught-us-about-the-power-of-quality-control-and-collaboration/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">16310</post-id>
		<media:thumbnail url="https://methodsblog.com/wp-content/uploads/2026/03/dhufish.jpg"/>
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			<media:title type="html">dhufish</media:title>
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		<media:content medium="image" url="https://2.gravatar.com/avatar/88ca634b296aab04ce33e42f14c046f3448e25be020fc2d1781b9c6da41399e7?s=96&amp;d=identicon&amp;r=G">
			<media:title type="html">plydtanthera</media:title>
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		<media:content medium="image" url="https://methodsblog.com/wp-content/uploads/2026/03/dhufish.jpg?w=1024"/>

		<media:content medium="image" url="https://methodsblog.com/wp-content/uploads/2026/03/naming-inconsistencies-in-ecological-datasets.png?w=1024"/>

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		<media:content medium="image" url="https://methodsblog.com/wp-content/uploads/2026/03/workshop.jpg?w=1024"/>
	</item>
		<item>
		<title>Building the Infrastructure for Reproducible Biodiversity Science</title>
		<link>https://methodsblog.com/2026/03/30/building-the-infrastructure-for-reproducible-biodiversity-science/</link>
					<comments>https://methodsblog.com/2026/03/30/building-the-infrastructure-for-reproducible-biodiversity-science/#respond</comments>
		
		<dc:creator><![CDATA[plydtanthera]]></dc:creator>
		<pubDate>Mon, 30 Mar 2026 09:00:00 +0000</pubDate>
				<category><![CDATA[Ecology]]></category>
		<category><![CDATA[biodiversity]]></category>
		<category><![CDATA[biodiversity informatics]]></category>
		<category><![CDATA[Data]]></category>
		<category><![CDATA[macroecology]]></category>
		<category><![CDATA[Open Science]]></category>
		<category><![CDATA[Reproducible Code]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16137</guid>

					<description><![CDATA[BIEN 4.2: A Reproducible Standard for Global Plant Biodiversity Data Post provided by the BIEN Working Group For hundreds of years, biologists have carefully collected information on plants, animals, and other organisms and have created and maintained enormous libraries of physical specimens from all around the globe. Specimens are collected with all kinds of information&#8211; often there’s a physical example, but beyond that, scientists record &#8230;]]></description>
		
					<wfw:commentRss>https://methodsblog.com/2026/03/30/building-the-infrastructure-for-reproducible-biodiversity-science/feed/</wfw:commentRss>
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		<post-id xmlns="com-wordpress:feed-additions:1">16137</post-id>
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			<media:title type="html">BIEN_F3_white</media:title>
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			<media:title type="html">plydtanthera</media:title>
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	</item>
		<item>
		<title>Peter Dietrich: Advancing plant biomass measurements: Integrating smartphone-based 3D scanning techniques for enhanced ecosystem monitoring</title>
		<link>https://methodsblog.com/2026/03/27/peter-dietrich-advancing-plant-biomass-measurements-integrating-smartphone-based-3d-scanning-techniques-for-enhanced-ecosystem-monitoring/</link>
					<comments>https://methodsblog.com/2026/03/27/peter-dietrich-advancing-plant-biomass-measurements-integrating-smartphone-based-3d-scanning-techniques-for-enhanced-ecosystem-monitoring/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Fri, 27 Mar 2026 09:14:00 +0000</pubDate>
				<category><![CDATA[Robert May Prize]]></category>
		<category><![CDATA[3D scanning]]></category>
		<category><![CDATA[Ecology]]></category>
		<category><![CDATA[ecosystem monitoring]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<category><![CDATA[smartphone]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16250</guid>

					<description><![CDATA[Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Peter Dietrich&#8217;s article &#8216;Advancing plant biomass measurements: Integrating smartphone-based 3D scanning techniques for enhanced ecosystem monitoring&#8216; is one of those shortlisted for the award. About the paper What &#8230;]]></description>
		
					<wfw:commentRss>https://methodsblog.com/2026/03/27/peter-dietrich-advancing-plant-biomass-measurements-integrating-smartphone-based-3d-scanning-techniques-for-enhanced-ecosystem-monitoring/feed/</wfw:commentRss>
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		<post-id xmlns="com-wordpress:feed-additions:1">16250</post-id>
		<media:thumbnail url="https://methodsblog.com/wp-content/uploads/2026/03/peter-dietrich-cover-picture.jpg"/>
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			<media:title type="html">Peter Dietrich cover picture</media:title>
		</media:content>

		<media:content medium="image" url="https://0.gravatar.com/avatar/010cd58bdd69ec9d83ff549510bb28db843b713a955c208594c457adcbf47b6c?s=96&amp;d=identicon&amp;r=G">
			<media:title type="html">methodsecolevol</media:title>
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	</item>
		<item>
		<title>Maia Austen: A computational framework to characterize and compare the tonal repertoires of toothed whales</title>
		<link>https://methodsblog.com/2026/03/26/maia-austen-a-computational-framework-to-characterize-and-compare-the-tonal-repertoires-of-toothed-whales/</link>
					<comments>https://methodsblog.com/2026/03/26/maia-austen-a-computational-framework-to-characterize-and-compare-the-tonal-repertoires-of-toothed-whales/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Thu, 26 Mar 2026 09:40:00 +0000</pubDate>
				<category><![CDATA[Robert May Prize]]></category>
		<category><![CDATA[Bioacoustics]]></category>
		<category><![CDATA[Evolutionary Biology]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<category><![CDATA[Toothed whales]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16301</guid>

					<description><![CDATA[Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Maia Austen’s article ‘A computational framework to characterize and compare the tonal repertoires of toothed whales&#8216; is one of those shortlisted for the award. About the paper&#160; &#8230;]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">16301</post-id>
		<media:thumbnail url="https://methodsblog.com/wp-content/uploads/2026/03/fieldwork.jpg"/>
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			<media:title type="html">fieldwork</media:title>
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		<media:content medium="image" url="https://0.gravatar.com/avatar/010cd58bdd69ec9d83ff549510bb28db843b713a955c208594c457adcbf47b6c?s=96&amp;d=identicon&amp;r=G">
			<media:title type="html">methodsecolevol</media:title>
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		<media:content medium="image" url="https://methodsblog.com/wp-content/uploads/2026/03/fieldwork.jpg?w=768"/>

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	</item>
		<item>
		<title>Xiaotian Zheng: Spatial-statistical downscaling with uncertainty quantification in biodiversity modelling</title>
		<link>https://methodsblog.com/2026/03/25/xiaotian-zheng-spatial-statistical-downscaling-with-uncertainty-quantification-in-biodiversity-modelling/</link>
					<comments>https://methodsblog.com/2026/03/25/xiaotian-zheng-spatial-statistical-downscaling-with-uncertainty-quantification-in-biodiversity-modelling/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Wed, 25 Mar 2026 10:00:00 +0000</pubDate>
				<category><![CDATA[Robert May Prize]]></category>
		<category><![CDATA[Biodiversity Modelling]]></category>
		<category><![CDATA[Ecology]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<category><![CDATA[species distribution model]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16291</guid>

					<description><![CDATA[Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Xiaotian Zheng’s article ‘Spatial-statistical downscaling with uncertainty quantification in biodiversity modelling&#8216; is one of those shortlisted for the award. About the paper  What is your shortlisted paper about,&#160;and &#8230;]]></description>
		
					<wfw:commentRss>https://methodsblog.com/2026/03/25/xiaotian-zheng-spatial-statistical-downscaling-with-uncertainty-quantification-in-biodiversity-modelling/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">16291</post-id>
		<media:thumbnail url="https://methodsblog.com/wp-content/uploads/2026/03/xz_researech_image.png"/>
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	</item>
		<item>
		<title>Robin Boyd: Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data</title>
		<link>https://methodsblog.com/2026/03/24/robin-boyd-using-causal-diagrams-and-superpopulation-models-to-correct-geographic-biases-in-biodiversity-monitoring-data/</link>
					<comments>https://methodsblog.com/2026/03/24/robin-boyd-using-causal-diagrams-and-superpopulation-models-to-correct-geographic-biases-in-biodiversity-monitoring-data/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Tue, 24 Mar 2026 09:30:00 +0000</pubDate>
				<category><![CDATA[Robert May Prize]]></category>
		<category><![CDATA[Biodiversity monitoring]]></category>
		<category><![CDATA[Casual Diagrams]]></category>
		<category><![CDATA[Ecology]]></category>
		<category><![CDATA[Sampling Bias]]></category>
		<category><![CDATA[Species Abundance]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16278</guid>

					<description><![CDATA[Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Robin Boyd’s article &#8216;Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data&#8216; is one of those shortlisted for the award. Read Robs previous &#8230;]]></description>
		
					<wfw:commentRss>https://methodsblog.com/2026/03/24/robin-boyd-using-causal-diagrams-and-superpopulation-models-to-correct-geographic-biases-in-biodiversity-monitoring-data/feed/</wfw:commentRss>
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		<post-id xmlns="com-wordpress:feed-additions:1">16278</post-id>
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		<item>
		<title>Nina Schiettekatte: habtools: An R package to calculate 3D metrics for surfaces and objects</title>
		<link>https://methodsblog.com/2026/03/23/nina-schiettekatte-habtools-an-r-package-to-calculate-3d-metrics-for-surfaces-and-objects/</link>
					<comments>https://methodsblog.com/2026/03/23/nina-schiettekatte-habtools-an-r-package-to-calculate-3d-metrics-for-surfaces-and-objects/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Mon, 23 Mar 2026 13:59:23 +0000</pubDate>
				<category><![CDATA[Robert May Prize]]></category>
		<category><![CDATA[3D]]></category>
		<category><![CDATA[Ecology]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<category><![CDATA[R package]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16265</guid>

					<description><![CDATA[Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Nina Schiettekatte’s article ‘habtools: An R package to calculate 3D metrics for surfaces and objects&#8216; is one of those shortlisted for the award. About the paper What is &#8230;]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">16265</post-id>
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		<item>
		<title>Jordan Martin: Covariance reaction norms: A flexible method for estimating complex environmental effects on trait (co)variances</title>
		<link>https://methodsblog.com/2026/03/20/jordan-martin-covariance-reaction-norms-a-flexible-method-for-estimating-complex-environmental-effects-on-trait-covariances/</link>
					<comments>https://methodsblog.com/2026/03/20/jordan-martin-covariance-reaction-norms-a-flexible-method-for-estimating-complex-environmental-effects-on-trait-covariances/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Fri, 20 Mar 2026 09:31:00 +0000</pubDate>
				<category><![CDATA[Robert May Prize]]></category>
		<category><![CDATA[Ecology]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<category><![CDATA[Statistical Models]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16240</guid>

					<description><![CDATA[Throughout March, we are featuring articles shortlisted for the 2025 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Jordan Martin’s article ‘Covariance reaction norms: A flexible method for estimating complex environmental effects on trait (co)variances‘ is one of those shortlisted for &#8230;]]></description>
		
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		<title>Kal Backman: Human inspired deep learning to locate and classify terrestrial and arboreal animals in thermal drone surveys</title>
		<link>https://methodsblog.com/2026/03/19/kal-backman-human-inspired-deep-learning-to-locate-and-classify-terrestrial-and-arboreal-animals-in-thermal-drone-surveys/</link>
					<comments>https://methodsblog.com/2026/03/19/kal-backman-human-inspired-deep-learning-to-locate-and-classify-terrestrial-and-arboreal-animals-in-thermal-drone-surveys/#respond</comments>
		
		<dc:creator><![CDATA[Harriet Rhodes]]></dc:creator>
		<pubDate>Thu, 19 Mar 2026 09:25:00 +0000</pubDate>
				<category><![CDATA[Robert May Prize]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Drone]]></category>
		<category><![CDATA[Ecology]]></category>
		<category><![CDATA[Methods in Ecology and Evolution]]></category>
		<category><![CDATA[Survery]]></category>
		<guid isPermaLink="false">http://methodsblog.com/?p=16182</guid>

					<description><![CDATA[Throughout March, we are featuring&#160;articles shortlisted&#160;for the 2025 Robert May Prize.&#160;The&#160;Robert May Prize&#160;is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Kal Backman&#8217;s article &#8216;Human inspired deep learning to locate and classify terrestrial and arboreal animals in thermal drone surveys&#8216; is one of those shortlisted for the award. About &#8230;]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">16182</post-id>
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