2024-02-15
This is PMAS's COMMONS Lab daily Open Notebook.
Today is 2024.02.15
Todo today
Have a look at the COMMONS research discussion forum
- https://github.com/orgs/commons-research/discussions
Daily work on the Open Science for natural products research Viewpoint
See Viewpoint
Doing
Adpating tutorial atDatasette to an inat exported data set
sqlite-utils insert inat.db locations \ 2024_02_14_inat_output.csv --csv -d
sqlite-utils schema inat.db
sqlite-utils tables inat.db --counts
sqlite-utils tables inat.db --counts -t
sqlite-utils inat.db "select * from locations limit 4"
sqlite-utils inat.db "select * from observations limit 1"
sqlite-utils inat.db -t \ "select id, captive, uri, location from observations limit 10"
sqlite-utils convert inat.db observations location \ 'bits = value.split(",") return { "latitude": float(bits[0]), "longitude": float(bits[1]), }' --multi
Paused
Done
Notes
https://simonwillison.net/2023/Jun/18/symbex/
Created resources.datasette (Private)
Assisting https://www.spettrometriadimassa.it/Congressi/4MSNatMed/index.html
Presented https://doi.org/10.5281/zenodo.10663625
Notes :
- Valorisation of tomato leaves phytochemicals They use a "Natural products workflow" from Compound Discoverer, this apparently comes with FoodDB included
Todo tomorrow, one day ... or never
Today I learned that
- https://llm.datasette.io/en/stable/index.html allows you to run LLM locally
See ex :
cat inat_fetcher.py | llm summarize
-
https://kagi.com/ is a mind-blowing search engine
-
https://book.mwmbl.org/page/progress/ they are building the best search engine in the world .... and they are 1.2134 % task completed ! Thk Adriano @adafede (Private) (checking what happens if I mention a github user from a Dendron note .... most likely nothing) for the pointer
https://tapas.knowledgepixels.com/tapas.html?api=knowledgepixels/nanopub-query-api