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faroit avatar faroit commented on May 21, 2024

we can probably do this using gbifpy:

occ.download_meta(key = "0117522-200613084148143")

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faroit avatar faroit commented on May 21, 2024

@jclombar @alexisjoly is this still relevant? What would be a typical workflow?

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jclombar avatar jclombar commented on May 21, 2024

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alexisjoly avatar alexisjoly commented on May 21, 2024

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jclombar avatar jclombar commented on May 21, 2024

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faroit avatar faroit commented on May 21, 2024

@jclombar the DOI is referring to a fixed/frozen number of observations. Being able to rerun a query could get more (up-do-date) data

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faroit avatar faroit commented on May 21, 2024

@alexisjoly

What would be a typical workflow?

  1. Pierre Bonnet (botanist) makes use of GBIF web portal to create the most appropriate query (check images, filter >data providers not in the scope, filter taxa, data types, etc.)
  2. JC-Lombardo converts it to an API query to download efficiently, balance across classes, etc.

in that case using just the DOI is probably enough. This issue would allow @jclombar to rerun the query in case the data has changed. This (rerun and save the query under a new doi) can also be done via the gbif UI... so I'm not sure ;-)

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