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 ```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1299316581