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/5376#issuecomment-852431061,https://api.github.com/repos/pydata/xarray/issues/5376,852431061,MDEyOklzc3VlQ29tbWVudDg1MjQzMTA2MQ==,25432,2021-06-01T20:41:03Z,2021-06-01T20:41:12Z,CONTRIBUTOR,"@benbovy I also agree that a data structure that encapsulates a scale into a nice API, where you set the scale currently desired, and the same Xarray Dataset/DataArray API is available, and that scale can optionally be lazily be loaded. Maybe an Index as proposed could be a good API, but I do not have a good enough understanding of how the interface is used in general. What would be other examples like `ImagePyramidIndex`, outside of the multi-scale context? Should something like `Scale` be used instead?

Regarding dynamic multi-scale, etc., one use case of interest is where you are interactively processing a larger-then memory dataset, and want to visualize the result over a limited domain on an intermediate scale.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,902009258
https://github.com/pydata/xarray/issues/4118#issuecomment-833535376,https://api.github.com/repos/pydata/xarray/issues/4118,833535376,MDEyOklzc3VlQ29tbWVudDgzMzUzNTM3Ng==,25432,2021-05-06T13:45:16Z,2021-05-06T13:45:16Z,CONTRIBUTOR,"For scientific imaging, i.e. biomicroscopy, medical imaging, where xarray compatibility [is being considered](https://github.com/ome/ngff/issues/48) in the [NGFF](https://ngff.openmicroscopy.org/0.1/), it would be helpful to avoid unnecessary divergence by ensuring the proposed hierarchical storage is compatible. This would mean:

1. Each scale / group can be independently treated as an `xarray.Dataset`.
2. They are organized in such a way that the collection of scales can be referenced [as it is now](https://github.com/zarr-developers/zarr-specs/issues/50), i.e. as a collection of paths,

```{
  “multiscales”: [
    {
      “datasets” : [
          {""path"": ""0""},
          {""path"": ""1""},
          {""path"": ""2""},
          {""path"": ""3""},
          {""path"": ""4""}
        ]
      “version” : “0.1”
    }
  ]
}
```","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,628719058
https://github.com/pydata/xarray/issues/4118#issuecomment-776812965,https://api.github.com/repos/pydata/xarray/issues/4118,776812965,MDEyOklzc3VlQ29tbWVudDc3NjgxMjk2NQ==,25432,2021-02-10T15:58:30Z,2021-02-10T15:58:30Z,CONTRIBUTOR,"@jhamman @joshmoore a prototype to bring together XArray and OME-Zarr/NGFF with multiple groups:
https://github.com/OpenImaging/miqa/blob/master/server/scripts/compress_encode.py","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,628719058