id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
1975845455,I_kwDOAMm_X851xQJP,8410,Segmentation fault 139 (SIGSEGV),39524075,closed,0,,,4,2023-11-03T10:14:03Z,2023-11-06T20:34:46Z,2023-11-06T20:34:45Z,NONE,,,,"### What happened?

While opening a set of netCDF files in a for loop, using xr.open_dataset().load(), I get a segmentation error (nr. 139). Please see code example below:
```
for region in region_list:
   [some code to read data associated to each region...]

   region_pred = xr.open_dataset(io.BytesIO(data)).load()

   [other code working on region_pred...]
```
The error is shown in Linux/Mac after running my Python code, whereas Windows seems to be masking it. I was able to catch that on Windows by launching my code as:
```
python3 my_code.py && echo ok || echo KO
```

In this way, KO gets printed and the segmentation fault is now noticeable. 
I managed to fix the issue by using a second variable (called reg_pred) in addition to region_pred:
```
for region in region_list:
   [some code to read data associated to each region...]

   region_pred = xr.open_dataset(io.BytesIO(data))
   reg_pred = region_pred.load()

   [other code working on reg_pred...]
```


### What did you expect to happen?

I don't know if the issue I described is something that the developers made on purpose. Personally, I think it is an issue and that's why I am reporting it. If it is not an issue, I would like to get a clarification in order to understand what am I missing. 
Thank you in advance.

### Minimal Complete Verifiable Example

```Python
for region in region_list:
   with storage_client.open(region, ""rb"") as f:
      data = f.read()
   region_pred = xr.open_dataset(io.BytesIO(data)).load()

   # some code working on region_pred to compute weather indices...
```


### MVCE confirmation

- [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
- [ ] Verifiable example — the example copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result.
- [X] New issue — a search of GitHub Issues suggests this is not a duplicate.
- [ ] Recent environment — the issue occurs with the latest version of xarray and its dependencies.

### Relevant log output

_No response_

### Anything else we need to know?

_No response_

### Environment

<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.9.13 (tags/v3.9.13:6de2ca5, May 17 2022, 16:36:42) [MSC v.1929 64 bit (AMD64)]
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 141 Stepping 1, GenuineIntel
byteorder: little
LC_ALL: None
LANG: it_IT.UTF-8
LOCALE: ('Italian_Italy', '1252')
libhdf5: 1.14.0
libnetcdf: 4.9.2

xarray: 2023.8.0
pandas: 2.1.0
numpy: 1.26.0
scipy: 1.11.2
netCDF4: 1.6.4
pydap: None
h5netcdf: 1.2.0
h5py: 3.9.0
Nio: None
zarr: None
cftime: 1.6.2
nc_time_axis: None
PseudoNetCDF: None
iris: None
bottleneck: None
dask: 2023.10.0
distributed: 2023.10.0
matplotlib: 3.8.0
cartopy: None
seaborn: None
numbagg: None
fsspec: 2023.9.1
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 68.2.2
pip: 23.2.1
conda: None
pytest: None
mypy: None
IPython: 8.15.0
sphinx: None

</details>
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