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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/7146#issuecomment-1272544819 https://api.github.com/repos/pydata/xarray/issues/7146 1272544819 IC_kwDOAMm_X85L2X4z 11075246 2022-10-09T13:37:57Z 2022-10-09T14:25:51Z NONE

It seems that we need the time variable to reproduce the problem. The following code does not fail: ``` import numpy as np import xarray as xr import pandas as pd

N_TIMES=64 ds = xr.Dataset({'d1': (["T", "x", "y"], np.zeros((N_TIMES, 201,201)))}) ds.to_netcdf(path="/my_s3_fs/test_netcdf.nc", format="NETCDF4", mode="w") ```

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