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/1092#issuecomment-683824965,https://api.github.com/repos/pydata/xarray/issues/1092,683824965,MDEyOklzc3VlQ29tbWVudDY4MzgyNDk2NQ==,4441338,2020-08-31T14:45:22Z,2020-08-31T15:15:20Z,NONE,"I did a ctrl-f for zarr in this issue, found nothing, so here's my two cents: it should be possible to write a Datagroup with either  zarr or netcdf.
I wonder if @emilbiju (posted https://github.com/pydata/xarray/issues/4118 ) has any of that code laying around, could be a starting point.
In general, a tree structure to which I can broadcast operations in the same dimensions to different datasets that do not necessary share dimension lengths would solve my use case . This corresponds to bullet point number 3 in https://github.com/pydata/xarray/issues/1092#issuecomment-290159834 . My use case is a set of experiments, that have:  the same parameter variables, with different values; the same dimensions with different lengths for their data. The parameters and data would benefit of having a hierarchical naming structure.
Currently I build a master dataset containing experiment datasets, with a coordinate for each parameter. Then I map functions over it.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,187859705