Data access from jetstream2 object store is failing

[brian-rose]

Builds are currently failing with a data access problem.

The notebook has a cell that accesses a series of netcdf files stored in the Pythia object store. Paths to the data are created as follows:

URL = 'https://js2.jetstream-cloud.org:8001/' #Locate and read a file
path = f'pythia/cesmLME' # specify data location
fs = fsspec.filesystem("s3", anon=True, client_kwargs=dict(endpoint_url=URL)) 
pattern = f's3://{path}/*.nc'
files = sorted(fs.glob(pattern))
base_name = 'pythia/cesmLME/b.ie12.B1850C5CN.f19_g16.LME.002.cam.h0.'
time_period =  '085001-184912'
names = [name for name in files if base_name in name and time_period in name]
fileset = [fs.open(file) for file in names]

and the files are then opened with

for idx,item in enumerate(fileset):
    ds_u = xr.open_dataset(item)

This was working fine until recently. Now it's throwing an xarray error

ValueError: did not find a match in any of xarray's currently installed IO backends ['h5netcdf', 'scipy']. Consider explicitly selecting one of the installed engines via the ``engine`` parameter, or installing additional IO dependencies, see:
https://docs.xarray.dev/en/stable/getting-started-guide/installing.html
https://docs.xarray.dev/en/stable/user-guide/io.html

Directly reading an individual data file with

xr.open_dataset('https://js2.jetstream-cloud.org:8001/pythia/cesmLME/b.ie12.B1850C5CN.f19_g16.LME.002.cam.h0.PRECRC_H216Or.085001-184912.nc')

seems to work fine.