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/2368#issuecomment-800374879,https://api.github.com/repos/pydata/xarray/issues/2368,800374879,MDEyOklzc3VlQ29tbWVudDgwMDM3NDg3OQ==,59902324,2021-03-16T15:42:25Z,2021-03-16T15:42:25Z,NONE,"@dcherian Thanks for your reply. I think I understand the issue. What, specifically, do you suggest to fix this issue in my own code considering this is not a dataset I generated?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,350899839
https://github.com/pydata/xarray/issues/2368#issuecomment-785298202,https://api.github.com/repos/pydata/xarray/issues/2368,785298202,MDEyOklzc3VlQ29tbWVudDc4NTI5ODIwMg==,59902324,2021-02-24T18:54:35Z,2021-02-24T18:56:11Z,NONE,"Found one! https://www.ncei.noaa.gov/data/oceans/ncei/ocads/data/0191304/ The dataset published in Bushinsky et al. (2019), which is basically the Landshutzer et al. (2014) climatology plus SOCCOM Float-based pCO2 data, and updated through 2018. I've only tried the first file in the list (https://www.ncei.noaa.gov/data/oceans/ncei/ocads/data/0191304/MPI-SOM_FFN_SOCCOMv2018.nc), but suspect the others will have the same issue. Here's the error (sounds like you all have discussed before, but I can't see an easy answer): 

```
---------------------------------------------------------------------------
MissingDimensionsError                    Traceback (most recent call last)
<ipython-input-4-9e0af51f1c05> in <module>
----> 1 SOMFFN = xr.open_dataset('MPI-SOM_FFN_SOCCOMv2018.nc')

~/opt/anaconda3/lib/python3.8/site-packages/xarray/backends/api.py in open_dataset(filename_or_obj, group, decode_cf, mask_and_scale, decode_times, autoclose, concat_characters, decode_coords, engine, chunks, lock, cache, drop_variables, backend_kwargs, use_cftime, decode_timedelta)
    573 
    574     with close_on_error(store):
--> 575         ds = maybe_decode_store(store, chunks)
    576 
    577     # Ensure source filename always stored in dataset object (GH issue #2550)

~/opt/anaconda3/lib/python3.8/site-packages/xarray/backends/api.py in maybe_decode_store(store, chunks)
    469 
    470     def maybe_decode_store(store, chunks):
--> 471         ds = conventions.decode_cf(
    472             store,
    473             mask_and_scale=mask_and_scale,

~/opt/anaconda3/lib/python3.8/site-packages/xarray/conventions.py in decode_cf(obj, concat_characters, mask_and_scale, decode_times, decode_coords, drop_variables, use_cftime, decode_timedelta)
    598         decode_timedelta=decode_timedelta,
    599     )
--> 600     ds = Dataset(vars, attrs=attrs)
    601     ds = ds.set_coords(coord_names.union(extra_coords).intersection(vars))
    602     ds._file_obj = file_obj

~/opt/anaconda3/lib/python3.8/site-packages/xarray/core/dataset.py in __init__(self, data_vars, coords, attrs)
    628             coords = coords.variables
    629 
--> 630         variables, coord_names, dims, indexes, _ = merge_data_and_coords(
    631             data_vars, coords, compat=""broadcast_equals""
    632         )

~/opt/anaconda3/lib/python3.8/site-packages/xarray/core/merge.py in merge_data_and_coords(data, coords, compat, join)
    465     explicit_coords = coords.keys()
    466     indexes = dict(_extract_indexes_from_coords(coords))
--> 467     return merge_core(
    468         objects, compat, join, explicit_coords=explicit_coords, indexes=indexes
    469     )

~/opt/anaconda3/lib/python3.8/site-packages/xarray/core/merge.py in merge_core(objects, compat, join, combine_attrs, priority_arg, explicit_coords, indexes, fill_value)
    592         coerced, join=join, copy=False, indexes=indexes, fill_value=fill_value
    593     )
--> 594     collected = collect_variables_and_indexes(aligned)
    595 
    596     prioritized = _get_priority_vars_and_indexes(aligned, priority_arg, compat=compat)

~/opt/anaconda3/lib/python3.8/site-packages/xarray/core/merge.py in collect_variables_and_indexes(list_of_mappings)
    276                 append_all(coords, indexes)
    277 
--> 278             variable = as_variable(variable, name=name)
    279             if variable.dims == (name,):
    280                 variable = variable.to_index_variable()

~/opt/anaconda3/lib/python3.8/site-packages/xarray/core/variable.py in as_variable(obj, name)
    152         # convert the Variable into an Index
    153         if obj.ndim != 1:
--> 154             raise MissingDimensionsError(
    155                 ""%r has more than 1-dimension and the same name as one of its ""
    156                 ""dimensions %r. xarray disallows such variables because they ""

MissingDimensionsError: 'date' has more than 1-dimension and the same name as one of its dimensions ('time', 'date'). xarray disallows such variables because they conflict with the coordinates used to label dimensions.
```



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