lbesnard (Loz) lbesnard

## srs_mfdataset_issue_showcase.ipynb

      
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                / srs_mfdataset_issue_showcase.ipynb
            
            
              Last active
              June 19, 2024 01:59
            
              
                Gist showcasing issue with mfdataset with a bad SRS GHRSST file
              
          
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## issue.py
import s3fs
import xarray as xr

s3 = s3fs.S3FileSystem(anon=True)

# This generates a list of strings with filenames
s3path = 's3://imos-data/IMOS/SRS/SST/ghrsst/L3S-1d/dn/2023/*'
remote_files = s3.glob(s3path)

# create a fileset

## imos_geoserver_access.ipynb

      
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                / imos_geoserver_access.ipynb
            
            
              Created
              May 5, 2021 07:11
            
              
                DataTas - Access IMOS data via Geoserver
              
          
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## imos_acorn_torq_dm.ipynb

      
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                / imos_acorn_torq_dm.ipynb
            
            
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              May 12, 2021 03:28
            
              
                DataTas - Access IMOS AODN data via THREDDS on Python 
              
          
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## IMOS_Ocean_Colour_Chl_OC3_access_via_S3.ipynb

      
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                / IMOS_Ocean_Colour_Chl_OC3_access_via_S3.ipynb
            
            
              Created
              May 5, 2021 04:21
            
              
                DataTas - Access IMOS AODN data via S3 on Python
              
          
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## imos_sar.ipynb

      
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                / imos_sar.ipynb
            
            
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              February 6, 2020 03:31
            
              
                IMOS - Surface Waves - SAR - Windrose example around Tasmania (Winter 2019)
              
          
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## ocean_color_aqua_download.py
from bs4 import BeautifulSoup

import urllib
import re
from retry import retry
import os
from netCDF4 import Dataset

YEARS_TO_DOWNLOAD = list(range(1999, 2019))
VARS_TO_DOWNLOAD = ['par']

## Argo_float_filtering(WFS).ipynb

      
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                / Argo_float_filtering(WFS).ipynb
            
            
              Created
              July 1, 2019 04:27
            
              
                Argo Float (WFS access)
              
          
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## RLS_STAARS_example.ipynb

      
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                / RLS_STAARS_example.ipynb
            
            
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              June 28, 2019 07:13
            
              
                Reef Life Survey (via WFS) and STAARS climatology (S3 via Xarray) comparaison
              
          
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## soop_trv_xarray_zarr.ipynb

      
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                / soop_trv_xarray_zarr.ipynb
            
            
              Last active
              May 15, 2019 04:25
            
              
                SOOP TRV (dask, s3fs, xarray, zarr)
              
          
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	import s3fs
	import xarray as xr

	s3 = s3fs.S3FileSystem(anon=True)

	# This generates a list of strings with filenames
	s3path = 's3://imos-data/IMOS/SRS/SST/ghrsst/L3S-1d/dn/2023/*'
	remote_files = s3.glob(s3path)

	# create a fileset
	from bs4 import BeautifulSoup

	import urllib
	import re
	from retry import retry
	import os
	from netCDF4 import Dataset

	YEARS_TO_DOWNLOAD = list(range(1999, 2019))
	VARS_TO_DOWNLOAD = ['par']