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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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It's funny how some images stick in the mind. A few years ago Chris Freeland (@chrisfreeland), then working for Biodiversity Heritage Library (BHL), created a visualisation of BHL content relevant to the African continent. It's a nice example of small multiples. For more than a decade (gulp) I've been extracting articles from the BHL and storing them in BioStor.

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Somewhat stunned by the fact that my DNA barcode browser I described earlier was one of the (minor) prizewinners in this year's GBIF Ebbe Nielsen Challenge. For details on the winner and other place getters see ShinyBIOMOD wins 2020 GBIF Ebbe Nielsen Challenge. Obviously I'm biased, but it's nice to see the challenge inspiring creativity in biodiversity informatics. Congratulations to everyone who took part.

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The following is a guest post by Bob Mesibov. No winner yet in the second Darwin Core Million for 2020, but there are another two and a half weeks to go (to 30 September). For details of the contest see this iPhylo blog post. And please don’t submit a million RECORDS, just (roughly) a million DATA ITEMS. That’s about 20,000 records with 50 fields in the table, or about 50,000 records with 20 fields, or something arithmetically similar.

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I stumbled across this tweet yesterday (no doubt when I should have been doing other things), and disappeared down a rabbit hole. Emerging, I think the trip was worth it.   Markdown wikis Among the tools listed by @zackfan01 were Obsidian and Roam, neither of which I heard of before.

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A week ago Toby Hudson (@tobyhudson) released a very cool Chrome (and now Firefox) extension called Entity Explosion. If you install the extension, you get a little button you can press to find out what Wikidata knows about the entity on the web page you are looking at. The extension works on web sites that have URLs that match identifiers in Wikidata.