I think the datasets contained in BioTIME explicitly capture trends over time. Whereas pulling trends out of GBIF data can be tricky. GBIF data standards could probably represent BioTIME-like data but it's probably more accessible in a dedicated trend database.

I only have a limited knowledge of music notation but I find that figure quite confused. Especially the dark blue bird that can only communicate in treble clefs.

I also found it really helpful. I have the audio book and I'm listening to it a second time listening to a chapter daily-ish. Lots of good bits but I love the bit about "what if it was easy?"

I certainly enjoyed the novelty of being able to sign up with a nice short username! Interested to see how it develops (both professionally and personally). I downloaded Wylder (www.getwylder.co.uk) a while back but didn't particularly grab me.

This PhD is offered as part of the AI-INTERVENE programme which sets out to equip the next generation of environmental scientists with the AI and data science tools, ecological knowledge and wider interdisciplinary skillset. Find out more here: www.findaphd.com/phds/program...

I agree, a really excellent talk and I will have to read the paper too

The digital twin label is applied quite liberally, sometimes it's helpful, sometimes it's actively confusing.

Here's the paper riojournal.com/article/1254... and app app.biodt.eu/app/biodtshiny . Digital twinning for me is the journey towards interactive operational models (often process based), data integration, scenario testing and feedback loops. BioDT aims to prototype and research, not just build.