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/6766#issuecomment-1179301026,https://api.github.com/repos/pydata/xarray/issues/6766,1179301026,IC_kwDOAMm_X85GSrSi,2448579,2022-07-08T19:29:37Z,2022-07-08T19:29:37Z,MEMBER,"OH I see your xarray and netCDF versions. Hmmm...
perhaps @dopplershift has tips for debugging this.
One thing to try is to skip xarray and use netcdf directly
```
import netCDF4
netCDF4.Dataset(url)
```
Does that succeed? If not, let's move this to netcdf4-python","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1299316581
https://github.com/pydata/xarray/issues/6766#issuecomment-1179299848,https://api.github.com/repos/pydata/xarray/issues/6766,1179299848,IC_kwDOAMm_X85GSrAI,2448579,2022-07-08T19:27:44Z,2022-07-08T19:27:44Z,MEMBER,"Works for me with these versions. Can you compare with your versions using `xr.show_versions()`
```
INSTALLED VERSIONS
------------------
commit: None
python: 3.10.5 | packaged by conda-forge | (main, Jun 14 2022, 07:04:59) [GCC 10.3.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1127.18.2.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.1
libnetcdf: 4.8.1
xarray: 2022.3.0
pandas: 1.4.3
numpy: 1.22.4
scipy: 1.8.1
netCDF4: 1.6.0
pydap: None
h5netcdf: None
h5py: 3.7.0
Nio: None
zarr: 2.12.0
cftime: 1.6.0
nc_time_axis: 1.4.1
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: 1.3.4
dask: 2022.6.1
distributed: 2022.6.1
matplotlib: 3.5.2
cartopy: 0.20.3
seaborn: 0.11.2
numbagg: None
fsspec: 0.8.4
cupy: None
pint: None
sparse: None
setuptools: 62.6.0
pip: 22.1.2
conda: None
pytest: None
IPython: 8.4.0
sphinx: None
```
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