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Dendron workspace sync
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## Synced vaults:
- commons-dws-public

Dendron version: 0.124.0
Hostname: MacBook-Pro-de-pma.local
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oolonek committed Feb 15, 2024
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58 changes: 58 additions & 0 deletions vault/open-notebook.commons.pmallard.2024.02.14.md
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---
id: 97fyq9uje33ruknv2bzymw8
title: '2024-02-14'
desc: ''
updated: 1707919104733
created: 1707912703974
traitIds:
- open-notebook-commons-pmallard
---

# This is PMAS's COMMONS Lab daily Open Notebook.

Today is 2024.02.14

## 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

- looking at the way to define synonymy across taxa in WD
- looking at the way to push a paper from its DOI to WD

- checking BAM paper https://www.biorxiv.org/content/10.1101/2024.02.04.578795.abstract

## Paused

## Done

- created the https://www.wikidata.org/wiki/Q124533285


## Notes

## Todo tomorrow, one day ... or never


###
###


## Today I learned that

- https://sourcemd.toolforge.org/ is the tool to add a scientific paper to WD (had lost this one)
- The Old version is the working one https://sourcemd.toolforge.org/index_old.php
- Copy pasting one DOI in Scholia is also a way (Thnaks Adriano !)

- Its possible to suggest functions at https://www.wikifunctions.org/wiki/Wikifunctions:Suggest_a_function

57 changes: 57 additions & 0 deletions vault/open-notebook.commons.pmallard.2024.02.15.md
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---
id: qd0nret1w82tdmoet1upt7a
title: '2024-02-15'
desc: ''
updated: 1707993428254
created: 1707993148076
traitIds:
- open-notebook-commons-pmallard
---

# 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

## Paused

## Done

## Notes

## 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 (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&op=/get-subj-refs&autosubmit=on&param_subj=https://doi.org/10.1038/sdata.2016.18

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