issue_comments: 797211009
This data as json
| 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/5023#issuecomment-797211009 | https://api.github.com/repos/pydata/xarray/issues/5023 | 797211009 | MDEyOklzc3VlQ29tbWVudDc5NzIxMTAwOQ== | 1217238 | 2021-03-12T03:32:49Z | 2021-03-12T03:32:49Z | MEMBER | I suspect there is at least one netCDF file with inconsistent metadata, e.g., without a The only reason why I can imagine this behavior might be different in GCP rather than on your workstation would be if you are using inconsistent package version. Note: In general, for multi-file netCDF -> Zarr workflows you might check out pangeo-forge: https://github.com/pangeo-forge/pangeo-forge |
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