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!
- @philipharman
- | He/him
I'm a data scientist living in Washington, DC.
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- @hjayanto
- | He/Him
KONKLUSI (Kolaborasi Inklusi Konservasi - Yayasan)
Your friendly Indo-Crocky-Croc



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- 17 Groups
- @aclainap
- | she/they
As EarthRanger’s Instructional Specialist, I help conservation teams learn to protect wildlife—because saving species is always better with great data (and a little teamwork)!

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- @MStarking
- | she/her/hers
Ecologist and conservation researcher, currently an Assistant Professor at University of Michigan-Flint, research areas include landscape ecology, forestry and wildlife interactions, wildlife habitat relationships, spatial ecology, GIS.

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- 15 Groups
Wildlife Conservation Society (WCS)
I am a devoted conservationist, natural resource management enthusiast interested in Elephant and Pangolin species and passionate about linking communities with environmental conservation

- 1 Resources
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- 13 Groups
Software Developer, Teacher and Technical Trainer. Passionate about using tech for good

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Technical Specialist at FFI: loves data management, maps, remote sensing & GIS for conservation


- 2 Resources
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- @Valentin_Stefan
- | He/Him
Interested in emerging technologies related to camera traps for pollinators
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- 4 Discussions
- 18 Groups
- 1 Resources
- 1 Discussions
- 11 Groups
- @MandyEyrich
- | She/Her
University of Florida (UF)
Bridging industries with 15+ years of cross-sector expertise specializing in user-centric technology and product strategy, UX research, UX/UI design, process optimization, and end-to-end agile product development moving from ideation to iteration.
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- 27 Groups
- @NG
- | She
I am a Conservationist and Ornithologist passionate about biodiversity conservation and environmental sustainability.

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Article
Wildlife Insights is excited to announce the public release of their new platform! Read on to learn about all the useful features you'll find on Wildlife Insights, and check out WILDLABS' Tech Tutors episode with...
27 July 2021
Read our interview with early career conservationist and CLP Future Conservationist Award recipient Owino Raymond, who is working with camera traps along the Kenya-Somalia border to understand and reduce conflict...
21 May 2021
A new issue of Methods in Ecology and Evolution from the British Ecological Society is now available for download. In this issue, WILDLABS readers will enjoy research involving conservation dogs and non-invasive...
23 April 2021
Community Announcement
Whether you spent the last year working in the field, lab, at home, or virtually, the WILDLABS community's conservation tech achievements were on full display in our annual #Tech4Wildlife Photo Challenge! Relive our...
25 March 2021
National Geographic is offering funding up to up to $50,000 for conservationists conducting research on how the pandemic has impacted wildlife and conservation work. If you are interested in researching aspects of the...
10 March 2021
Article
WildID is excited to share their new camera trap processing and detection tools with WILDLABS! Using machine learning to identify Southern African wildlife species in large quantities of camera trap data, WildID's tool...
8 March 2021
Sol Milne's new paper, Drivers of Bornean Orangutan Distribution across a Multiple-Use Tropical Landscape, is now available. Using drones to detect orangutan nest density in aerial surveys (as shared during our...
12 February 2021
How can remotely monitoring fishing vessels allow us to prevent illegal and unsustainable fishing practices? Check out this blog post from Max Schofield, originally shared on OceanMind, to learn about how AIS (Automated...
2 February 2021
The 2021 Ebbe Nielsen Challenge has opened with the aim of recognizing innovative entries that leverage biodiversity data and tools from the GBIF network to advance open science.
20 January 2021
The Nature Conservancy's 2020 Geospatial Conservation Annual Report is now available to download! Featuring 25 case studies focused on the impact of geospatial science on conservation work, maps showcasing conservation...
17 December 2020
WILDLABS community members are invited to submit an Expression of Interest to Fisheries Innovation Scotland (FIS) to participate in two research projects involving conservation tech's role in the future of sustainable...
8 December 2020
WILDLABS member Meredith Palmer shared this great course module based around Snapshot Serengeti camera trap data, and developed for university biology courses. This material is ideal for introductory level biology...
25 November 2020
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Description | Activity | Replies | Groups | Updated |
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Hi all, We're excited to welcome Siyu Yang to Tech Tutors to chat about getting started with Megadetector! For all you AI... |
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AI for Conservation, Camera Traps, Data management and processing tools | 3 years 10 months ago | |
The GBIF backbone taxonomy is composed of Catalogue of Life, ITIS, the Red List and dozens of other checklists. It's just been updated again, but this blogpost from a 2019... |
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Data management and processing tools | 4 years 1 month ago | |
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... |
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AI for Conservation, Data management and processing tools | 4 years 3 months ago | |
Hi all, For anyone still looking, the recording is and notes from this event are available here. Talia |
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Data management and processing tools | 5 years 10 months ago | |
Oh very interesting, thanks for sharing, Ben. Are your or your team presenting at all, or are you going to soak in all the information? Easy link for anyone interested:... |
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Data management and processing tools | 6 years 8 months ago | |
BirdLife International are conducting a global audit of biodiversity monitoring to identify gaps in data, coverage and capacity in long-... |
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Data management and processing tools | 6 years 8 months ago | |
Come and learn about the work of UNEP-WCMC's informatics team on Wednesday the 18th May at 12:30 in room 1.25B at the David... |
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Data management and processing tools | 9 years ago |
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This is amazing! Thank you for sharing. I'm speaking on this topic at the National Center for Ecological Analysis and Synthesis in October. If you have any other resources on this topic, let me know! Closing the loop for "Science to Action" is a huge part of the work we do so I'm always looking to learn.
16 June 2024 3:32pm
Tagging @Chelsea_Smith so she sees this :)
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Drop-deployed HydroMoth
2 April 2024 10:20am
15 April 2024 6:53am
Hi Matthew,
Thanks for your advice, this is really helpful!
I'm planning to use it in a seagrass meadow survey for a series of ~20 drops/sites to around 30 m, recording for around 10 minutes each time, in Cornwall, UK.
At this stage I reckon we won't exceed 30 m, but based on your advice, I think this sounds like not the best setup for the surveys we want to try.
We will try the Aquarian H1a, attached to the Zoom H1e unit, through a PVC case. This is what Aquarian recommended to me when I contacted them too.
Thanks for the advice, to be honest the software component is what I was most interested in when it came to the AudioMoth- is there any other open source software you would recommend for this?
Best wishes,
Sol
21 April 2024 7:10pm
Hey Sol,
No problem at all. Depending on your configuration, the Audiomoth software would have to work on a PCB with an ESP32 chip which is the unit on the audiomoth/hydromoth, so you would have to make a PCB centered around this chip. You could mimic the functionality of the audiomoth software on another chip, like on a raspberry pi with python's pyaudio library for example. The problem you would have is that the H1A requires phantom power, so it's not plug and play. I'm not too aware with the H1e, but maybe you can control the microphone through the recorder that is programmable through activations by the RPi (not that this is the most efficient MCU for this application, but it is user friendly). A simpler solution might be to just record continuously and play a sound or take notes of when your 10 min deployment starts. I think it should last you >6 hours with a set of lithium energizer batteries. You may want to think about putting a penetrator on the PVC housing for a push button or switch to start when you deploy. They make a few waterproof options.
Just somethign else that occured to me, but if you're dropping these systems, you'll want to ensure that the system isn't wobbling in the seagrass as that will probably be all you will hear on the recordings, especially if you plan to deploy shallower. For my studies in Curacao, we aim to be 5lbs negative, but this all depends on your current and surface action. You might also want to think about the time of day you're recording biodiversity in general. I may suggest recording the site for a bit (a couple days or a week) prior to your study to see what you should account for (e.g. tide flow/current/anthropogenic disturbance) and determine diel patterning of vocalizations you are aiming to collect if subsampling at 10 minutes.
Cheers,
Matt
3 May 2024 12:55pm
Hi Sol,
If the maximum depth is 30m, it would be worth experimenting with HydroMoth in this application especially if the deployment time is short. As Matt says, the air-filed case means it is not possible to accurately calibrate the signal strength due to the directionality of the response. For some applications, this doesn't matter. For others, it may.
Another option for longer/deeper deployments would be an Aquarian H2D hydrophone which will plug directly into AudioMoth Dev or AudioMoth 1.2 (with the 3.5mm jack added). You can then use any appropriately sized battery pack.
If you also connect a magnetic switch, as per the GPS board, you can stop and start recording from outside the housing with the standard firmware.
Alex
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Congratulations, very exciting! Keep us updated!
7 April 2024 6:09pm
This is so cool @Mauricio_Akmentins - congrats and look forward to seeing your project evolve!
1 May 2024 5:17pm
Congratulations! My first hydromoth was just arrived yesterday and so excited! Looking forward for the update from your project!!!
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Hi Robin this is a great idea! Have been thinking about approaching the community for quiz questions. Will reach out to Xavier to ask if we can use it or if he wishes to run it on next Wednesdays VH
22 April 2024 11:27am
Thanks, and that's a match!
All these pictures are from a lab experiment and formated with AmphIdent. We took weekly belly pictures of several larvae. The aim of this google form is to validate (by comparing answers with the lab reference image base) picture-matching by human is reliable although the change of pattern can be verry quick at this life stage.
If validated there will be the need to improve existing pattern-matching solutions for in situ observations of larvae, for instance with ML and/or Human Learning (thanks Zooniverse)...
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I don't have an easy solution or a specific recommendation, but I try to track all the systems that do at least one of those things here:
https://agentmorris.github.io/camera-trap-ml-survey/#camera-trap-systems-using-ml
That's a list of camera trap analysis / data management systems that use AI in some way, but in practice, just about every system available now uses AI in some way, so it's a de facto list of tools you might want to at least browse.
AFAIK there are very few tools that are all of (1) a data management system, (2) an image review platform, and (3) an offline tool. If "no Internet access" still allows for access to a local network (e.g. WiFi within the ranger station), Camelot is a good starting point; it's designed to have an image database running on a local network. TRAPPER has a lot of the same properties, and @ptynecki (who works on TRAPPER) is active here on WILDLABS.
Ease of use is in the eye of the beholder, but I think what you'll find is that any system that has to actually deal with shared storage will require IT expertise to configure, but systems like Camelot and TRAPPER should be very easy to use from the perspective of the typical users who are storing and reviewing images every day.
Let us know what you decide!
17 April 2024 1:55am
Can't beat Dan's list!
I would just add that if you're interested in broader protected area management, platforms like EarthRanger and SMART are amazing, and can integrate with camera-trapping (amongst other) platforms.
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6 April 2024 9:56pm
WILDLABS AWARDS 2024 - BoutScout: Monitoring System for Avian Nesting Behavior Studies
31 March 2024 5:57am
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The use of synthetic training data such as interpolated sequence values is common, but fraught with the issue of your synthetic signal generating features that are not true to real life.
Instead, you might think about about appending the values of two long-period sin waves per input element to the sequence going in to your first linear / fully-connected layer. The simplest thing that could possibly work would be to interpret minute of the day and day of the month as the values of your sin wave! (Or perhaps minute/hour if all training sequences are quite short.) Since you’re doing sequence prediction, you would add the appropriate values for each image(?) in the sequence being evaluated.
With that additional signal going in to the model in the early layers, the NN should have a good chance of learning that the differences in the modulating signal corresponds to distance in time.
This technigue was popularized by early Large Language Models to encode the distance between words. There’s been refinement (search “Rotary Encoding” for instance) but the basic idea of sin waves generalizes well.