id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type 1032694511,I_kwDOAMm_X849jarv,5882,"Opening remote file with OpenDAP protocol returns ""_FillValue type mismatch"" error",42075938,closed,0,,,9,2021-10-21T16:27:17Z,2021-10-29T09:30:40Z,2021-10-29T09:30:40Z,NONE,,,,"**What happened**: When trying to open a remote file with OpenDAP protocol, I receive the error `Not a valid data type or _FillValue type mismatch: b'http://opendap.tudelft.nl/thredds/dodsC/IDRA/2019/10/01/IDRA_2019-10-01_11-00_raw_data.nc'`. **What you expected to happen**: I expect the file to be opened without having to add the string `'#fillmismatch'` to the file's URL (see example below). I am not specifying any `engine` in the method `open_dataset()`. However, if I specify `'pydap'`, I receive a different type of error: `unrecognized engine pydap must be one of: ['netcdf4', 'scipy', 'store']`; although I have pydap 3.2.2 installed and ran `!pip install xarray[complete]` **Minimal Complete Verifiable Example**: ```python url = 'http://opendap.tudelft.nl/thredds/dodsC/IDRA/2019/10/01/IDRA_2019-10-01_11-00_raw_data.nc' ds = xr.open_dataset(url+'#fillmismatch') ``` **Anything else we need to know?**: Unidata/netcdf4-python#929 **Environment**: - Ubuntu 20.04 - [JupyerLab running on Docker.](https://hub.docker.com/repository/docker/saveriogzz/jupyterdatascience)
Output of xr.show_versions() INSTALLED VERSIONS ------------------ commit: None python: 3.7.4 (default, Aug 13 2019, 20:35:49) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 5.4.0-88-generic 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: 1.12.0 libnetcdf: 4.7.4 xarray: 0.18.2 pandas: 1.2.4 numpy: 1.20.3 scipy: 1.6.3 netCDF4: 1.5.6 pydap: installed h5netcdf: 0.11.0 h5py: 3.5.0 Nio: None zarr: 2.10.2 cftime: 1.5.0 nc_time_axis: 1.3.1 PseudoNetCDF: None rasterio: 1.2.10 cfgrib: None iris: None bottleneck: 1.3.2 dask: 2021.05.0 distributed: 2021.05.0 matplotlib: 3.4.2 cartopy: None seaborn: 0.11.2 numbagg: 0.2.1 pint: None setuptools: 45.1.0.post20200119 pip: 21.1.2 conda: 4.7.12 pytest: 6.2.4 IPython: 7.11.1 sphinx: None
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