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/919#issuecomment-235743079,https://api.github.com/repos/pydata/xarray/issues/919,235743079,MDEyOklzc3VlQ29tbWVudDIzNTc0MzA3OQ==,1217238,2016-07-27T22:37:01Z,2016-07-27T22:37:01Z,MEMBER,"There's already an issue for tracking this feature -- see https://github.com/pydata/xarray/issues/508

xarray should definitely make this easier for users. Blaming the data provider for something that is actually quite common is not really fair :).
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,167684282
https://github.com/pydata/xarray/issues/919#issuecomment-235443620,https://api.github.com/repos/pydata/xarray/issues/919,235443620,MDEyOklzc3VlQ29tbWVudDIzNTQ0MzYyMA==,1217238,2016-07-27T00:06:31Z,2016-07-27T00:06:31Z,MEMBER,"The problem appears to be that these datasets are inconsistent: some have an `nbnds` variables, and some don't. Xarray doesn't know what to do in this situation, so it raises an error. You'll need to add some custom processing logic to make the datasets consistent before you merge them.

In principle, we could handle missing variables by adding NaNs, possibly by adding a flag `allow_missing_variables` to `concat`. But this doesn't exist yet.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,167684282