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iPhylo

Rants, raves (and occasionally considered opinions) on phyloinformatics, taxonomy, and biodiversity informatics. For more ranty and less considered opinions, see my Twitter feed.
ISSN 2051-8188. Written content on this site is licensed under a Creative Commons Attribution 4.0 International license.
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How to cite: Page, R. (2023). The problem with GBIF’s Phylogeny Explorer. https://doi.org/10.59350/v0bt3-zp114 GBIF recently released the Phylogeny Explorer, using legumes as an example dataset. The goal is to enables users to “view occurrence data from the GBIF network aligned to legume phylogeny.” The screenshot below shows the legume phylogeny side-by-side with GBIF data.

Publicados

How to cite: Page, R. (2023). Adventures in machine learning: iNaturalist, DNA barcodes, and Lepidoptera. https://doi.org/10.59350/5q854-j4s23 Recently I’ve been working with a masters student, Maja Nagler, on a project using machine learning to identify images of Lepidoptera. This has been something of an adventure as I am new to machine learning, and have only minimal experience with the Python programming language.

Publicados

How to cite: Page, R. (2023). A taxonomic search engine. https://doi.org/10.59350/r3g44-d5s15 Tony Rees commented on my recent post Ten years and a million links. I’ve responded to some of his comments, but I think the bigger question deserves more space, hence this blog post. Tony’s comment {#tony’s-comment} My response I think there are several ways to approach this.

Publicados

One thing about ChatGPT is it has opened my eyes to some concepts I was dimly aware of but am only now beginning to fully appreciate. ChatGPT enables you ask it questions, but the answers depend on what ChatGPT “knows”. As several people have noted, what would be even better is to be able to run ChatGPT on your own content. Indeed, ChatGPT itself now supports this using plugins.