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/5189#issuecomment-824238589,https://api.github.com/repos/pydata/xarray/issues/5189,824238589,MDEyOklzc3VlQ29tbWVudDgyNDIzODU4OQ==,6943441,2021-04-21T17:38:43Z,2021-04-21T17:38:43Z,NONE,Well. That is strange. My version of `pydap` does not have the fix from the PR submitted to solve the issue:  https://github.com/pydap/pydap/pull/151/files. When I implement this in my `pydap` I don't get that error.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,861684673
https://github.com/pydata/xarray/issues/5189#issuecomment-824234023,https://api.github.com/repos/pydata/xarray/issues/5189,824234023,MDEyOklzc3VlQ29tbWVudDgyNDIzNDAyMw==,6943441,2021-04-21T17:31:11Z,2021-04-21T17:31:11Z,NONE,Looks like this is the same issue: https://github.com/pydap/pydap/issues/150,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,861684673
https://github.com/pydata/xarray/issues/5189#issuecomment-824232570,https://api.github.com/repos/pydata/xarray/issues/5189,824232570,MDEyOklzc3VlQ29tbWVudDgyNDIzMjU3MA==,6943441,2021-04-21T17:28:36Z,2021-04-21T17:28:36Z,NONE,So it seems like it's something specific to the `NASA` dataset/server,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,861684673
https://github.com/pydata/xarray/issues/5189#issuecomment-824232141,https://api.github.com/repos/pydata/xarray/issues/5189,824232141,MDEyOklzc3VlQ29tbWVudDgyNDIzMjE0MQ==,6943441,2021-04-21T17:27:53Z,2021-04-21T17:27:53Z,NONE,"I tried on a public test dataset and I don't get any error:

```python
import xarray as xr
url = ""http://test.opendap.org/opendap/data/nc/sst.mnmean.nc.gz""
store = xr.backends.PydapDataStore.open(url)
ds = xr.open_dataset(store)
ds['sst'].isel(time=0, lat=0, lon=0).values
```
```
array(-1.8, dtype=float32)
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,861684673
https://github.com/pydata/xarray/issues/5189#issuecomment-824226103,https://api.github.com/repos/pydata/xarray/issues/5189,824226103,MDEyOklzc3VlQ29tbWVudDgyNDIyNjEwMw==,6943441,2021-04-21T17:17:46Z,2021-04-21T17:17:46Z,NONE,Good idea. I'll see if I can find one.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,861684673
https://github.com/pydata/xarray/issues/5189#issuecomment-822833896,https://api.github.com/repos/pydata/xarray/issues/5189,822833896,MDEyOklzc3VlQ29tbWVudDgyMjgzMzg5Ng==,6943441,2021-04-19T22:36:48Z,2021-04-19T22:36:48Z,NONE,I get a timeout error when trying `load()`,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,861684673
https://github.com/pydata/xarray/issues/5189#issuecomment-822829654,https://api.github.com/repos/pydata/xarray/issues/5189,822829654,MDEyOklzc3VlQ29tbWVudDgyMjgyOTY1NA==,6943441,2021-04-19T22:31:50Z,2021-04-19T22:32:33Z,NONE,"I could try. It's a pretty big dataset though. 38x10^9 data points:
![image](https://user-images.githubusercontent.com/6943441/115311282-00947500-a135-11eb-85a6-b901ab0b1895.png)
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,861684673
https://github.com/pydata/xarray/issues/3476#issuecomment-550044335,https://api.github.com/repos/pydata/xarray/issues/3476,550044335,MDEyOklzc3VlQ29tbWVudDU1MDA0NDMzNQ==,6943441,2019-11-05T22:07:20Z,2019-11-05T22:07:20Z,NONE,"Sure
```
In [5]: print(ds)
<xarray.Dataset>
Dimensions:     (datetime: 20, site_code: 20)
Coordinates:
  * datetime    (datetime) datetime64[ns] 1970-01-01 ... 1970-01-01T19:00:00
  * site_code   (site_code) object '01302020' '01303000' ... '01315000'
Data variables:
    streamflow  (datetime, site_code) float64 dask.array<shape=(20, 20), chunksize=(20, 20)>
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,516306758
https://github.com/pydata/xarray/issues/3374#issuecomment-538520040,https://api.github.com/repos/pydata/xarray/issues/3374,538520040,MDEyOklzc3VlQ29tbWVudDUzODUyMDA0MA==,6943441,2019-10-04T18:54:53Z,2019-10-04T18:54:53Z,NONE,"Thanks for the workaround, @jhamman. After I installing the netcdf4 library it runs fine. ","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,502720385