Powerful conservation tech tools are gathering more data in the field than ever before. But without equally powerful and effective data management and processing tools, that data - no matter how groundbreaking or interesting - will not be able to reach its full potential for impact.
Data management can sometimes seem intimidating to conservationists, especially those just getting started in the world of conservation tech or experimenting with new data collection methods. While every community member's workflow and preferred data management and processing methods may be different, this group can serve as a resource to explore what works for others, share your own advice, and develop new strategies together.
Below are a few WILDLABS events dealing with datasets collected from various conservation tech tools:
Nicole Flores: How do I get started with Wildlife Insights?
Jamie Macaulay: How do I analyse large acoustic datasets using PAMGuard?
Sarah Davidson: Tools for Bio-logging Data in Conservation
Whatever conservation tech tools you work with, and whatever your preferred data management methods, we hope you'll find something helpful and effective in this group when you become a member!
No showcases have been added to this group yet.
- @cappel
- | she/her
Wildlife Science PhD candidate working on computer vision with camera traps and bioacoustics
- 0 Resources
- 5 Discussions
- 13 Groups
- @valengsb
- | she / her
GIS specialist for Audubon Americas | Biologist with an emphasis on Conservation and Sustainable Development | Innovative approaches in the study and monitoring of biodiversity for possible, biodiverse, and just futures.
- 0 Resources
- 0 Discussions
- 18 Groups
- @BernardaVA
- | She, her
Hello everyone, I am Bernarda, and I am currently doing a Master's degree in Natural Resources and Biodiversity. I have been working in bird monitoring and bird banding since 2018 in Ecuador. I have also been working at the Museum of Zoology at Universidad del Azuay
- 0 Resources
- 0 Discussions
- 5 Groups
Species360
Species360, Product Owner - ZIMS for Husbandry & Aquatics, supporting our mission to advance global conservation through collaborative knowledge sharing.
- 0 Resources
- 0 Discussions
- 4 Groups
- @capreolus
- | he/him
Capreolus e.U.
wildlife biologist with capreolus.at
- 1 Resources
- 78 Discussions
- 16 Groups
- @Margaret
- | Her/she
- 0 Resources
- 1 Discussions
- 8 Groups
- @Gabonia
- | He/him
GABriel ONIfade A. (GABONIA / mrGab), is an educator, a CS and AI advocate, a Data Engineer, an AI Engineer, an Entrepreneur, and curriculum developer based in Brooklyn, New York (NYC DOE District 19). With a background in Systems Engineering, Gabriel specializes in CS & AI Edu.
- 1 Resources
- 1 Discussions
- 4 Groups
- @siddharth119
- | He/Him
Co-founder of Habitat Robotics, a conservation-tech non-profit
- 0 Resources
- 0 Discussions
- 3 Groups
Research software engineer working in computer vision for animal behaviour
- 1 Resources
- 1 Discussions
- 13 Groups
Natural Solutions
Computational ecologist - Engineer at Natural Solutions (France)
- 0 Resources
- 1 Discussions
- 13 Groups
- @KMucha
- | She/Her/Hers
Species360
Senior Product Owner of ZIMS for Studbooks and the SCTI Toolkit at Species360
- 0 Resources
- 0 Discussions
- 5 Groups
- @Lindakim
- | She
I am a GIS analyst in the field of conservation
- 0 Resources
- 1 Discussions
- 9 Groups
Article
TEAM Network and Wildlife Insights
Eric Fegraus
Operating the largest tropical forest camera trap network globally, TEAM Network has accumulated over 2.6 million images. How can large datasets coupled with new techniques for data management and analysis provide...
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| Thank you so much for your reply! I'll look in to this now :) |
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5 February 2021 7:16pm
Dan's comments about the need for technologists and conservationists to manage and share (properly annotated) data struck a chord with me, it was right at the end of the presentation.
I fired off a point into the chat "could your old background data be my background data?" or something similar, and it got me thinking...
(Firstly, sorry for clouding this issue with my simultaneous "Ian Tuna" joke)
In the context of using AI as described in EdgeImpulse example, lets say - audio.
Lets say Group A are trying to detect the roar of lions, and Group B are trying to detect the grunt of wild pigs, and lets imagine that is in roughly the same area of Africa. I mean they could both send out teams to capture the sound of their target animal, and the sound of NOT their target animal, e.g everything else.
Well if "serengetti sounds" was a known audio track, then all you need is the unique sound of the beast in question, am I right?