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/issues/349#issuecomment-76890735,https://api.github.com/repos/pydata/xarray/issues/349,76890735,MDEyOklzc3VlQ29tbWVudDc2ODkwNzM1,7300413,2015-03-03T05:45:50Z,2015-03-03T05:45:50Z,NONE,"Thanks. But that really kills my machine, even though I have 12 GB of RAM.

What I finally ended up doing is slicing the initial dataset created from one nc file
to access the level+variable that I wanted. This gives me a DataArray object
which I then xray.concat() with similar objects created from other variables. 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,59467251
https://github.com/pydata/xarray/issues/349#issuecomment-76883017,https://api.github.com/repos/pydata/xarray/issues/349,76883017,MDEyOklzc3VlQ29tbWVudDc2ODgzMDE3,7300413,2015-03-03T03:57:55Z,2015-03-03T03:57:55Z,NONE,"No, not really. each file contains one year of data for four variables, and I have 35 files (1979-...)

I tried Dataset.merge as you suggested, but it says conflicting value for variable time, which I 
guess is what you would expect.

Can xray modify the nc file to make the time dimension unlimited? then I could simply use something
like MFDataset...

TIA,
Joy
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