Tag: 3D

Methods papers

Forking anatomy: borrowing software’s best idea to build 3D atlases together

Post provided by A. Murat Maga Picture a graduate student who has just spent eighty hours tracing the individual bones of a fish skull, slice by slice, through a high-resolution microCT scan. The result is a beautiful, richly labelled 3D dataset. And then? Too often it lands on a hard drive, or gets flattened into a static 3D model that no one else can edit, … Continue reading Forking anatomy: borrowing software’s best idea to build 3D atlases together

Unknown's avatarHarriet RhodesLeave a comment
Robert May Prize

Nina Schiettekatte: habtools: An R package to calculate 3D metrics for surfaces and objects

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‘ is one of those shortlisted for the award. About the paper What is … Continue reading Nina Schiettekatte: habtools: An R package to calculate 3D metrics for surfaces and objects

Unknown's avatarHarriet RhodesLeave a comment
Conservation and management, Ecology

As above, so below: a perspective into the application of land-forest monitoring methods for the assessment of marine animal forests

Post provided by Torcuato Pulido Mantas I am a postdoctoral researcher in Marine Biology and Ecology at the Department of Life and Environmental Sciences (DiSVA), Polytechnic University of Marche, where I work in the Zoology Lab (link: https://www.instagram.com/zoomardisva/). We focus on understanding how climate change affects benthic marine organisms, developing new methods for marine environmental monitoring, and promoting effective conservation strategies for vulnerable habitats and … Continue reading As above, so below: a perspective into the application of land-forest monitoring methods for the assessment of marine animal forests

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