html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/pull/523#issuecomment-131178257,https://api.github.com/repos/pydata/xarray/issues/523,131178257,MDEyOklzc3VlQ29tbWVudDEzMTE3ODI1Nw==,1197350,2015-08-14T16:51:27Z,2015-08-14T16:51:27Z,MEMBER,"I am the least knowledgeable person here regarding numpy and pandas development. The issues should probably be opened by someone else.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,99847237
https://github.com/pydata/xarray/pull/523#issuecomment-131109207,https://api.github.com/repos/pydata/xarray/issues/523,131109207,MDEyOklzc3VlQ29tbWVudDEzMTEwOTIwNw==,1197350,2015-08-14T13:43:32Z,2015-08-14T13:43:32Z,MEMBER,"Regarding the non-standard calendar support, is it worth opening issues in numpy / pandas?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,99847237
https://github.com/pydata/xarray/pull/523#issuecomment-131095419,https://api.github.com/repos/pydata/xarray/issues/523,131095419,MDEyOklzc3VlQ29tbWVudDEzMTA5NTQxOQ==,1197350,2015-08-14T12:43:47Z,2015-08-14T12:43:47Z,MEMBER,"Ok, thanks for the thoughtful discussion. I understand why you both feel this shouldn't be implemented in xray. My one objection to the discussion is that I don't think that climatological time is such a ""niche"" issue--processing climate model output (much of which has no specific calendar date associated with it but still has seasonal cycles, etc.) seems like one of the most useful applications for xray.

I come at this from a very practical point of view. I _need_ to use certain datasets (e.g. WOA13, POP model output) for my research and teaching. I _want_ to teach xray in my fall physical oceanography class---it is perfect for teaching because it ""just works"" and allows students to quickly load data and do basic analysis easily. This PR request would allow me to do that. I understand the counter-arguments, but I don't know exactly how I should proceed if this can't be part of xray. The options seem to be:

1) Don't use the datasets
2) Don't use xray
3) Use xray without time support

Is there something else I'm missing?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,99847237
https://github.com/pydata/xarray/pull/523#issuecomment-130424018,https://api.github.com/repos/pydata/xarray/issues/523,130424018,MDEyOklzc3VlQ29tbWVudDEzMDQyNDAxOA==,1197350,2015-08-12T19:45:42Z,2015-08-12T19:45:42Z,MEMBER,"Here is another example of a dataset with a similar time encoding issue. This is a valid OpenDAP URL:
http://data.nodc.noaa.gov/thredds/dodsC/woa/WOA13/DATAv2/temperature/netcdf/decav/1.00/woa13_decav_t16_01v2.nc

The time units are 'months since 0000-01-01 00:00:00'. This is the very popular [World Ocean Atlas](https://www.nodc.noaa.gov/OC5/woa13/). Since it is a monthly climatology, the dates are referenced to year 0.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,99847237
https://github.com/pydata/xarray/pull/523#issuecomment-129268281,https://api.github.com/repos/pydata/xarray/issues/523,129268281,MDEyOklzc3VlQ29tbWVudDEyOTI2ODI4MQ==,1197350,2015-08-10T01:22:22Z,2015-08-10T01:22:22Z,MEMBER,"@ocefpaf Unfortunately no OPenDAP endpoint, but I put a sample file on our ftp server
ftp://ftp.ldeo.columbia.edu/pub/rpa/pop_sample/b40.1850.track1.2deg.wcm.007.pop.h.0100-01.nc
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,99847237
https://github.com/pydata/xarray/pull/523#issuecomment-129190075,https://api.github.com/repos/pydata/xarray/issues/523,129190075,MDEyOklzc3VlQ29tbWVudDEyOTE5MDA3NQ==,1197350,2015-08-09T14:09:47Z,2015-08-09T14:09:47Z,MEMBER,"@ocefpaf NCAR is one of the lead institutions in terms of the CF conventions. Yet the CESM POP model, also developed at NCAR, has this ""year 0"" issue! To me this suggests that any practical, real-world application will need to deal with special cases like this one. 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,99847237