Export Data gives TypeError: Invalid value for attr 'source_temporal_extent'

[AlessiaRiveros]

HydroMT version checks

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• I have checked that this bug exists on the latest version of HydroMT.

Reproducible Example

import hydromt
from hydromt.data_catalog import DataCatalog
from hydromt.log import setuplog

logger = setuplog("export data", log_level=10)

data_catalog = DataCatalog(
logger=logger,
data_libs=["deltares_data"],
)

source_list = ["era5_hourly"]

ds = data_catalog.export_data(
data_root = ('./precipitation'),
source_names=source_list,
bbox=[ 7.49480011, 43.77567187, 10.07152846, 44.67692802],
time_tuple=('2009-01-01T00:00:00','2023-01-01T00:00:00'),
)

Current behaviour

When running the above code I encounter the following error:

File c:\Users\riveros\AppData\Local\miniconda3\envs\hydromt-wflow\Lib\site-packages\xarray\backends\api.py:195, in _validate_attrs..check_attr(name, value, valid_types)
189 raise TypeError(
190 f"Invalid name for attr: {name!r} must be a string for "
191 "serialization to netCDF files"
192 )
194 if not isinstance(value, valid_types):
--> 195 raise TypeError(
196 f"Invalid value for attr {name!r}: {value!r}. For serialization to "
197 "netCDF files, its value must be of one of the following types: "
198 f"{', '.join([vtype.name for vtype in valid_types])}"
199 )

TypeError: Invalid value for attr 'source_temporal_extent': {'start': '1950-01-01', 'end': '2023-03-01'}. For serialization to netCDF files, its value must be of one of the following types: str, Number, ndarray, number, list, tuple

However, this is error does not appear when I specify: source_list = ["era5_hourly[precip]"]

Desired behaviour

I would expect the export_data to work also when not specifying a single variable from the dataset

Additional context

hydromt is version 0.10.0
The data catalog is version 0.7.0
xarray is version 2024.3.0