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/4118#issuecomment-904970588,https://api.github.com/repos/pydata/xarray/issues/4118,904970588,IC_kwDOAMm_X8418MFc,2443309,2021-08-24T21:00:33Z,2021-08-24T21:00:33Z,MEMBER,Thanks @TomNicholas! I've just been starting to look into this. I'm going to give it a spin and would be happy to help with your numbers 3 and 4. ,"{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",,628719058
https://github.com/pydata/xarray/issues/4118#issuecomment-755465523,https://api.github.com/repos/pydata/xarray/issues/4118,755465523,MDEyOklzc3VlQ29tbWVudDc1NTQ2NTUyMw==,2443309,2021-01-06T18:08:19Z,2021-01-06T18:08:19Z,MEMBER,"@joshmoore - based on https://github.com/pangeo-forge/pangeo-forge/pull/27#issuecomment-755397835, you may be interested in this issue. One way to do multiscale datasets in Xarray would be to use hierarchical groups (one group per scale). ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,628719058
https://github.com/pydata/xarray/issues/4118#issuecomment-637163506,https://api.github.com/repos/pydata/xarray/issues/4118,637163506,MDEyOklzc3VlQ29tbWVudDYzNzE2MzUwNg==,2443309,2020-06-01T22:42:10Z,2020-06-01T22:42:10Z,MEMBER,@emilbiju - thanks for opening an issue here. You may want to take a look at the conversation in #1092. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,628719058