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MathewBiddle
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moving ATN translation code from R (.qmd file) to a jupyter notebook in Python.

The notebook:

  1. Pulls source netCDF data directly from NCEI.
  2. Ingests netCDF data and translates to DarwinCore format
  3. Creates applicable eml metadata.
  4. Creates applicable file column mapping xml file.
  5. Zips everything together into a compliant DwC Archive package.
  6. Allows the DwC Archive package to be uploaded to OBIS-USA IPT programmatically.
  7. Allows updating of eml metadata, setting of publisher, and registration with GBIF programmatically.

Closes #145

@MathewBiddle
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Add error checking for if we push new data structure. What happens on the IPT when we push incorrect stuff.

Lots of error checking needed here.

@MathewBiddle
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I know, I know, I keep moving things around. But, that's how things evolve, right?!

With the help of @ocefpaf, we started porting this notebook over into a python package. I think I'd like the bio_data_guide (this PR) to have a notebook that shows how to run the package we will develop. That makes this example much simpler and we don't loose the connection to the collection.

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[dataset]: Animal Satellite Telemetry data
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