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/2636#issuecomment-450455452,https://api.github.com/repos/pydata/xarray/issues/2636,450455452,MDEyOklzc3VlQ29tbWVudDQ1MDQ1NTQ1Mg==,4179064,2018-12-29T02:07:54Z,2018-12-29T02:07:54Z,NONE,"@zxdawn, I was able to verify that, by adding `decode_times=False` to your code, I get:
```
keys of merge:
odict_keys(['lon', 'lat', 'temperature', 'time']) 

time of merge:
<class 'netCDF4._netCDF4.Variable'>
int64 time(time)
    units: hours since 2015-01-01
unlimited dimensions: 
current shape = (6,)
filling on, default _FillValue of -9223372036854775806 used
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,394625579
https://github.com/pydata/xarray/issues/2636#issuecomment-450400275,https://api.github.com/repos/pydata/xarray/issues/2636,450400275,MDEyOklzc3VlQ29tbWVudDQ1MDQwMDI3NQ==,4179064,2018-12-28T17:54:19Z,2018-12-28T17:54:19Z,NONE,"Depending on your needs, you might be able to get away with calling `open_mfdataset` with `decode_times=False`.  This should leave your `time` coordinate as it is (i.e. integer hours since 2015-01-01) but that will limit the types of operations you can do on the `time` dimension because it will not be converted to some kind of `DateTime` object.  For example, it would be difficult to do time averaging that is aware of months, years, etc.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,394625579