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• Zooplankton Prosome and Lipid Sac Segmentation

A machine learning-based solution that can segment the Prosomes and Lipid sacs with sufficient accuracy helps to recognize the ecological plasticity of key Arctic copepods. It allows scientists to learn more about the relationship between the size and volume of two components of planktonic organisms: the prosome (the main body) and the lipid sac (energy reserves accumulated by copepods before winter). 

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• Jackal in hide: detection dogs show first success in the quest for golden jackal (Canis aureus) scats

Published paper attached

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• Using acoustic monitoring to track infectious disease risk

New paper in Trends in Parasitology discusses how acoustic monitoring can be used to assess presence and overlap of host or reservoir species, disease vectors and human activity.

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• Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision

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• Module 8: In the Field

Welcome to the eighth and final module of our Build Your Own Data Logger virtual course. We’ve built, coded and tested our data logger. Now we’re taking it into the field. 

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• Download Now: A Best Practice Guide to Satellite Technologies for Tracking Wildlife

The Zoological Society of London, with the support of WILDLABS and the UK Space Agency, are proud to publish this new guide to satellite technologies for tracking wildlife.