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https://github.com/pydata/xarray/issues/2064#issuecomment-452337937 https://api.github.com/repos/pydata/xarray/issues/2064 452337937 MDEyOklzc3VlQ29tbWVudDQ1MjMzNzkzNw== 8441217 2019-01-08T15:25:27Z 2019-01-08T15:25:27Z CONTRIBUTOR

The comment from henrica above gives a solution to @xylar 's issue. Here is the original example where I added : data_vars='minimal'.

```python

!/usr/bin/env python3

import xarray ds = xarray.open_mfdataset('example_jan.nc', concat_dim='Time', data_vars='minimal') print(ds) ```

Dimensions: (Time: 1, nOceanRegions: 7, nOceanRegionsTmp: 7, nVertLevels: 100) Dimensions without coordinates: Time, nOceanRegions, nOceanRegionsTmp, nVertLevels Data variables: refBottomDepth (nVertLevels) float64 dask.array<shape=(100,), chunksize=(100,)> time_avg_avgValueWithinOceanLayerRegion_avgLayerTemperature (Time, nOceanRegionsTmp, nVertLevels) float64 dask.array<shape=(1, 7, 100), chunksize=(1, 7, 100)> time_avg_avgValueWithinOceanRegion_avgSurfaceTemperature (Time, nOceanRegions) float64 dask.array<shape=(1, 7), chunksize=(1, 7)> time_avg_daysSinceStartOfSim (Time) timedelta64[ns] dask.array<shape=(1,), chunksize=(1,)> xtime_end (Time) |S64 dask.array<shape=(1,), chunksize=(1,)> xtime_start (Time) |S64 dask.array<shape=(1,), chunksize=(1,)> Attributes: history: Tue Dec 6 04:49:14 2016: ncatted -O -a ,global,d,, acme_alaph7... NCO: "4.6.2"

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