Groups joined
Groups
Group
- Latest Discussion
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- Updates about Arbimon for Ecoacoustics - free, cloud based analytical tool
- Latest Resource
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- Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision
New paper in Journal of Animal Ecology
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- Latest Discussion
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- Computer Science student looking to work for wildlife
- Latest Resource
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- Mobilising East African nature restoration professionals
Scholarships available for training courses focussing on nature restoration in East Africa
Group
- Latest Discussion
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- NFTs for Carbon Credits
- Latest Resource
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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.
Group
- Latest Discussion
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- Conservation Tech Directory - new update!
- Latest Resource
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- A practical guide to DNA-based methods for biodiversity assessment
The guide considers four different types of samples (water, sediments, invertebrate collections and diatoms), and two primary analysis types (single species detection via methods such as qPCR and assessment of biological communities via metabarcoding). At each stage of the field and laboratory process the guide sets out the scientific consensus on best practice, as well as the choices that need to be made and the trade-offs they entail. In particular, the guide considers how the choices may be influenced by common practical constraints such as logistics, time and budget.
Group
- Latest Discussion
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- Moveapps: EMAC23 Coding Challenge
- Latest Resource
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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.
Group
- Latest Discussion
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- Drones for IUU (illegal fishing activities & vessel monitoring)
- Latest Resource
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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).
Group
- Latest Discussion
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- Moveapps: EMAC23 Coding Challenge
Group
- Latest Discussion
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- Exploring storage options for mass data collection
- Latest Resource
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- Meeting customer deadlines, without having to hire more staff
How environmental consultancy Eticwood use geospatial data for rapid forest carbon project assessments
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