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-833574864,https://api.github.com/repos/pydata/xarray/issues/4118,833574864,MDEyOklzc3VlQ29tbWVudDgzMzU3NDg2NA==,88113,2021-05-06T14:36:37Z,2021-05-06T14:36:37Z,NONE,"Picking up on @dcherian's https://github.com/pydata/xarray/issues/4118#issuecomment-806954634 and @rabernat's https://github.com/ome/ngff/issues/48#issuecomment-833456889, Zarr was also accepted to the second round and certainly references this issue in case we want to sync up. (Apologies if I missed where that discussion moved.)","{""total_count"": 2, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 2, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,628719058 https://github.com/pydata/xarray/issues/4118#issuecomment-806494079,https://api.github.com/repos/pydata/xarray/issues/4118,806494079,MDEyOklzc3VlQ29tbWVudDgwNjQ5NDA3OQ==,88113,2021-03-25T09:21:47Z,2021-03-25T09:21:47Z,NONE,"Happy to provide assistance on the image pyramid (i.e. ""[multiscale](https://github.com/zarr-developers/zarr-specs/issues/50)"") use case.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,628719058 https://github.com/pydata/xarray/issues/4118#issuecomment-756204582,https://api.github.com/repos/pydata/xarray/issues/4118,756204582,MDEyOklzc3VlQ29tbWVudDc1NjIwNDU4Mg==,88113,2021-01-07T15:57:03Z,2021-01-07T15:57:03Z,NONE,"Thanks for the link, @jhamman. The most immediate issue I ran into when trying to use xarray with OME-Zarr data does seem _similar_. A rough representation of one multiscale image is: ``` image_pyramid: |_ zyx_array_high_res |_ zyx_array_mid_res |_ zyx_array_low_res ``` but of course the x, y and z dimensions are of different sizes in each volume.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,628719058