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The data conversion process from ODF to netCDF format has to be verified using an independent method. Script used can be in R/Python/Matlab; However it cannot use any of the packages used in creating the netCDF files.
The text was updated successfully, but these errors were encountered:
A simple way would be to just parse the ODF header format and data directly by using a simple method like described here.
This method essentially parses the ODF header into a list of dictionaries.
Data can then be easily converted to a python pandas dataframe and python xarray dataset. Original attributes from the ODF format can be easily carried on to the xarray dataset which can be saved to a nc file easily.
ODF parsing with through the R package OCE and developed Python method odf_parser.read() was tested on 2500 ODF files and suggested both methods agrees on the result! Comparison script can be find under projects/odf_transform/oce_comparison/compare_oce_vs_odf-read.py
The data conversion process from ODF to netCDF format has to be verified using an independent method. Script used can be in R/Python/Matlab; However it cannot use any of the packages used in creating the netCDF files.
The text was updated successfully, but these errors were encountered: