Hello @dev, Hope everybody is doing great! Me and Lewis have started integrating PODAAC data source into OCW. During my efforts into this I have started examining dap.py in data_source folder of ocw. An issue was raised regarding the same @[0]. When I started solving the issue I realised that the dataset.py file creates an ocw dataset by taking lat, lon, time and other parameters as input. I have some doubts regarding this
1) Does the ocw dataset definitely need to have the variables lat, lon and time?? I have come across some datasets which had only time or only lat and lan variables(talking about 1D variables) in them. 2) The dap.py which is an openDap data source loader assumes that the dataset has mainly three 1D variables (time, lat and lon). The tests were also written according to this assumption, but as I mentioned earlier I have come across some datasets which didn't necessarily contained these variables. 3) If we come to an agreement that the dataset shouldn't necessarily contain this variables and solve CLIMATE-830 accordingly, then what would be the default values that need to be assigned to the missing variables?? I am asking this because to create a dataset object in dataset.py we would require all the three variables(time, lat and lon). Please pardon me if the above questions sound silly. Thanks, Omkar. [0] https://issues.apache.org/jira/browse/CLIMATE-830?jql=project%20%3D%20CLIMATE%20AND%20resolution%20%3D%20Unresolved%20AND%20assignee%20%3D%20omkar20895%20ORDER%20BY%20priority%20DESC
