diff --git a/glotaran/builtin/io/ascii/wavelength_time_explicit_file.py b/glotaran/builtin/io/ascii/wavelength_time_explicit_file.py
index 9bceecde5..8363190b7 100644
--- a/glotaran/builtin/io/ascii/wavelength_time_explicit_file.py
+++ b/glotaran/builtin/io/ascii/wavelength_time_explicit_file.py
@@ -279,6 +279,7 @@ def save_dataset(
         dataset: xr.DataArray,
         file_name: str,
         *,
+        data_filter: list[str] = None,
         comment: str = "",
         file_format: DataFileType = DataFileType.time_explicit,
         number_format: str = "%.10e",
diff --git a/glotaran/builtin/io/folder/folder_plugin.py b/glotaran/builtin/io/folder/folder_plugin.py
index 58171ef98..7ea461935 100644
--- a/glotaran/builtin/io/folder/folder_plugin.py
+++ b/glotaran/builtin/io/folder/folder_plugin.py
@@ -9,15 +9,18 @@
 from pathlib import Path
 from typing import TYPE_CHECKING
 
+from glotaran.io import SAVING_OPTIONS_DEFAULT
 from glotaran.io import save_dataset
 from glotaran.io import save_model
 from glotaran.io import save_parameters
+from glotaran.io import save_result
 from glotaran.io import save_scheme
 from glotaran.io.interface import ProjectIoInterface
-from glotaran.plugin_system.project_io_registration import SAVING_OPTIONS_DEFAULT
 from glotaran.plugin_system.project_io_registration import register_project_io
 
 if TYPE_CHECKING:
+    from os import PathLike
+
     from glotaran.plugin_system.project_io_registration import SavingOptions
     from glotaran.project import Result
 
@@ -33,8 +36,10 @@ class FolderProjectIo(ProjectIoInterface):
     def save_result(
         self,
         result: Result,
-        result_path: str,
+        result_path: str | PathLike[str],
+        format_name: str = None,
         *,
+        allow_overwrite: bool = False,
         saving_options: SavingOptions = SAVING_OPTIONS_DEFAULT,
     ) -> list[str]:
         """Save the result to a given folder.
@@ -57,11 +62,16 @@ def save_result(
         Parameters
         ----------
         result : Result
-            Result instance to be saved.
-        result_path : str
-            The path to the folder in which to save the result.
+            :class:`Result` instance to write.
+        result_path : str | PathLike[str]
+            Path to write the result data to.
+        format_name : str
+            Format the result should be saved in, if not provided and it is a file
+            it will be inferred from the file extension.
+        allow_overwrite : bool
+            Whether or not to allow overwriting existing files, by default False
         saving_options : SavingOptions
-            Options for saving the the result.
+            Options for the saved result.
 
 
         Returns
@@ -77,52 +87,106 @@ def save_result(
         result_folder = Path(result_path)
         if result_folder.is_file():
             raise ValueError(f"The path '{result_folder}' is not a directory.")
-        result_folder.mkdir(parents=True, exist_ok=True)
-
-        paths = []
-        if saving_options.report:
-            report_path = result_folder / "result.md"
-            report_path.write_text(str(result.markdown()))
-            paths.append(report_path.as_posix())
-
-        model_path = result_folder / "model.yml"
-        save_model(result.scheme.model, model_path, allow_overwrite=True)
-        paths.append(model_path.as_posix())
-
-        initial_parameters_path = f"initial_parameters.{saving_options.parameter_format}"
-        save_parameters(
-            result.scheme.parameters,
-            result_folder / initial_parameters_path,
-            format_name=saving_options.parameter_format,
-            allow_overwrite=True,
+
+        return save_result(
+            result,
+            result_folder / "glotaran_result.yml",
+            allow_overwrite=allow_overwrite,
+            saving_options=saving_options,
         )
-        paths.append((result_folder / initial_parameters_path).as_posix())
 
-        optimized_parameters_path = f"optimized_parameters.{saving_options.parameter_format}"
-        save_parameters(
-            result.optimized_parameters,
-            result_folder / optimized_parameters_path,
-            format_name=saving_options.parameter_format,
+
+def save_result_to_folder(
+    result: Result,
+    result_path: str | PathLike[str],
+    saving_options: SavingOptions,
+) -> list[str]:
+    """Save the result to a given folder.
+
+    Returns a list with paths of all saved items.
+    The following files are saved if not configured otherwise:
+    * `result.md`: The result with the model formatted as markdown text.
+    * `model.yml`: Model spec file.
+    * `scheme.yml`: Scheme spec file.
+    * `initial_parameters.csv`: Initially used parameters.
+    * `optimized_parameters.csv`: The optimized parameter as csv file.
+    * `parameter_history.csv`: Parameter changes over the optimization
+    * `{dataset_label}.nc`: The result data for each dataset as NetCDF file.
+
+    Note
+    ----
+    As a side effect it populates the file path properties of ``result`` which can be
+    used in other plugins (e.g. the ``yml`` save_result).
+
+    Parameters
+    ----------
+    result : Result
+        :class:`Result` instance to write.
+    result_path : str | PathLike[str]
+        Path to write the result data to.
+    saving_options : SavingOptions
+        Options for the saved result.
+
+    Returns
+    -------
+    list[str]
+        List of file paths which were created.
+
+    Raises
+    ------
+    ValueError
+        If ``result_path`` is a file.
+    """
+    result_folder = Path(result_path)
+    if result_folder.is_file():
+        raise ValueError(f"The path '{result_folder}' is not a directory.")
+    result_folder.mkdir(parents=True, exist_ok=True)
+
+    paths = []
+    if saving_options.report:
+        report_path = result_folder / "result.md"
+        report_path.write_text(str(result.markdown()))
+        paths.append(report_path.as_posix())
+
+    model_path = result_folder / "model.yml"
+    save_model(result.scheme.model, model_path, allow_overwrite=True)
+    paths.append(model_path.as_posix())
+
+    initial_parameters_path = f"initial_parameters.{saving_options.parameter_format}"
+    save_parameters(
+        result.scheme.parameters,
+        result_folder / initial_parameters_path,
+        format_name=saving_options.parameter_format,
+        allow_overwrite=True,
+    )
+    paths.append((result_folder / initial_parameters_path).as_posix())
+
+    optimized_parameters_path = f"optimized_parameters.{saving_options.parameter_format}"
+    save_parameters(
+        result.optimized_parameters,
+        result_folder / optimized_parameters_path,
+        format_name=saving_options.parameter_format,
+        allow_overwrite=True,
+    )
+    paths.append((result_folder / optimized_parameters_path).as_posix())
+
+    scheme_path = result_folder / "scheme.yml"
+    save_scheme(result.scheme, scheme_path, allow_overwrite=True)
+    paths.append(scheme_path.as_posix())
+
+    parameter_history_path = result_folder / "parameter_history.csv"
+    result.parameter_history.to_csv(parameter_history_path)
+    paths.append(parameter_history_path.as_posix())
+
+    for label, dataset in result.data.items():
+        data_path = result_folder / f"{label}.{saving_options.data_format}"
+        save_dataset(
+            dataset,
+            data_path,
+            format_name=saving_options.data_format,
             allow_overwrite=True,
+            data_filters=saving_options.data_filter,
         )
-        paths.append((result_folder / optimized_parameters_path).as_posix())
-
-        scheme_path = result_folder / "scheme.yml"
-        save_scheme(result.scheme, scheme_path, allow_overwrite=True)
-        paths.append(scheme_path.as_posix())
-
-        parameter_history_path = result_folder / "parameter_history.csv"
-        result.parameter_history.to_csv(parameter_history_path)
-        paths.append(parameter_history_path.as_posix())
-
-        for label, dataset in result.data.items():
-            data_path = result_folder / f"{label}.{saving_options.data_format}"
-            save_dataset(
-                dataset,
-                data_path,
-                format_name=saving_options.data_format,
-                allow_overwrite=True,
-            )
-            paths.append(data_path.as_posix())
-
-        return paths
+        paths.append(data_path.as_posix())
+
+    return paths
diff --git a/glotaran/builtin/io/folder/test/test_folder_plugin.py b/glotaran/builtin/io/folder/test/test_folder_plugin.py
index 8d200a7b9..4efe4b6ef 100644
--- a/glotaran/builtin/io/folder/test/test_folder_plugin.py
+++ b/glotaran/builtin/io/folder/test/test_folder_plugin.py
@@ -18,7 +18,7 @@ def dummy_result():
     yield optimize(SCHEME, raise_exception=True)
 
 
-@pytest.mark.parametrize("format_name", ("folder", "legacy"))
+@pytest.mark.parametrize("format_name", ["folder", "legacy"])
 def test_save_result_folder(
     tmp_path: Path,
     dummy_result: Result,
@@ -27,6 +27,7 @@ def test_save_result_folder(
     """Check all files exist."""
 
     result_dir = tmp_path / "testresult"
+    assert not result_dir.exists()
     save_paths = save_result(
         result_path=str(result_dir), format_name=format_name, result=dummy_result
     )
@@ -45,7 +46,7 @@ def test_save_result_folder(
         assert (result_dir / wanted).as_posix() in save_paths
 
 
-@pytest.mark.parametrize("format_name", ("folder", "legacy"))
+@pytest.mark.parametrize("format_name", ["folder", "legacy"])
 def test_save_result_folder_error_path_is_file(
     tmp_path: Path,
     dummy_result: Result,
@@ -53,7 +54,7 @@ def test_save_result_folder_error_path_is_file(
 ):
     """Raise error if result_path is a file without extension and overwrite is true."""
 
-    result_dir = tmp_path / "testresult"
+    result_dir = tmp_path / "testresulterror"
     result_dir.touch()
 
     with pytest.raises(ValueError, match="The path '.+?' is not a directory."):
diff --git a/glotaran/builtin/io/yml/test/test_save_result.py b/glotaran/builtin/io/yml/test/test_save_result.py
index 87f8669a9..f557c0326 100644
--- a/glotaran/builtin/io/yml/test/test_save_result.py
+++ b/glotaran/builtin/io/yml/test/test_save_result.py
@@ -16,8 +16,8 @@
 @pytest.fixture(scope="session")
 def dummy_result():
     """Dummy result for testing."""
+    print(SCHEME.data["dataset_1"])
     scheme = replace(SCHEME, maximum_number_function_evaluations=1)
-    print(scheme.data["dataset_1"])
     yield optimize(scheme, raise_exception=True)
 
 
@@ -58,4 +58,7 @@ def test_save_result_yml(
     assert (result_dir / "dataset_1.nc").exists()
 
     # We can't check equality due to numerical fluctuations
-    assert expected in (result_dir / "result.yml").read_text()
+    got = (result_dir / "result.yml").read_text()
+    print(got)
+    assert expected in got
+    save_result(result_path=tmp_path / "result.yml", result=dummy_result)
diff --git a/glotaran/builtin/io/yml/yml.py b/glotaran/builtin/io/yml/yml.py
index 167f98309..d5872207a 100644
--- a/glotaran/builtin/io/yml/yml.py
+++ b/glotaran/builtin/io/yml/yml.py
@@ -5,11 +5,12 @@
 
 from ruamel.yaml import YAML
 
+from glotaran.builtin.io.folder.folder_plugin import save_result_to_folder
 from glotaran.deprecation.modules.builtin_io_yml import model_spec_deprecations
 from glotaran.deprecation.modules.builtin_io_yml import scheme_spec_deprecations
+from glotaran.io import SAVING_OPTIONS_DEFAULT
 from glotaran.io import ProjectIoInterface
 from glotaran.io import register_project_io
-from glotaran.io import save_result
 from glotaran.model import Model
 from glotaran.parameter import ParameterGroup
 from glotaran.project import Result
@@ -19,12 +20,15 @@
 from glotaran.utils.sanitize import sanitize_yaml
 
 if TYPE_CHECKING:
+    from os import PathLike
     from typing import Any
     from typing import Mapping
 
     from ruamel.yaml.nodes import ScalarNode
     from ruamel.yaml.representer import BaseRepresenter
 
+    from glotaran.plugin_system.project_io_registration import SavingOptions
+
 
 @register_project_io(["yml", "yaml", "yml_str"])
 class YmlProjectIo(ProjectIoInterface):
@@ -126,11 +130,35 @@ def load_result(self, result_path: str) -> Result:
         Result
             :class:`Result` instance created from the saved format.
         """
+
         spec = self._load_yml(result_path)
         return fromdict(Result, spec, folder=Path(result_path).parent)
 
-    def save_result(self, result: Result, result_path: str):
-        """Write a :class:`Result` instance to a spec file.
+    def save_result(
+        self,
+        result: Result,
+        result_path: str | PathLike[str],
+        format_name: str = None,
+        *,
+        allow_overwrite: bool = False,
+        saving_options: SavingOptions = SAVING_OPTIONS_DEFAULT,
+    ) -> list[str]:
+        """Save the result to a given folder.
+
+        Returns a list with paths of all saved items.
+        The following files are saved if not configured otherwise:
+        * `result.md`: The result with the model formatted as markdown text.
+        * `model.yml`: Model spec file.
+        * `scheme.yml`: Scheme spec file.
+        * `initial_parameters.csv`: Initially used parameters.
+        * `optimized_parameters.csv`: The optimized parameter as csv file.
+        * `parameter_history.csv`: Parameter changes over the optimization
+        * `{dataset_label}.nc`: The result data for each dataset as NetCDF file.
+
+        Note
+        ----
+        As a side effect it populates the file path properties of ``result`` which can be
+        used in other plugins (e.g. the ``yml`` save_result).
 
         Parameters
         ----------
@@ -138,10 +166,30 @@ def save_result(self, result: Result, result_path: str):
             :class:`Result` instance to write.
         result_path : str | PathLike[str]
             Path to write the result data to.
+        format_name : str
+            Format the result should be saved in, if not provided and it is a file
+            it will be inferred from the file extension.
+        allow_overwrite : bool
+            Whether or not to allow overwriting existing files, by default False
+        saving_options : SavingOptions
+            Options for the saved result.
+
+
+        Returns
+        -------
+        list[str]
+            List of file paths which were created.
+
+        Raises
+        ------
+        ValueError
+            If ``result_path`` is a file.
         """
-        save_result(result, Path(result_path).parent.as_posix(), format_name="folder")
+        paths = save_result_to_folder(result, Path(result_path).parent.as_posix(), saving_options)
         result_dict = asdict(result, folder=Path(result_path).parent)
         _write_dict(result_path, result_dict)
+        paths.append(result_path)
+        return paths
 
     def _load_yml(self, file_name: str) -> dict[str, Any]:
         yaml = YAML()
diff --git a/glotaran/deprecation/modules/test/test_project_result.py b/glotaran/deprecation/modules/test/test_project_result.py
index 3e72888bb..697033b35 100644
--- a/glotaran/deprecation/modules/test/test_project_result.py
+++ b/glotaran/deprecation/modules/test/test_project_result.py
@@ -16,7 +16,7 @@ def dummy_result():
     yield optimize(SCHEME, raise_exception=True)
 
 
-def test_Result_get_dataset_method(dummy_result: Result):
+def test_result_get_dataset_method(dummy_result: Result):
     """Result.get_dataset(dataset_label) gives correct dataset."""
 
     _, result = deprecation_warning_on_call_test_helper(
@@ -26,7 +26,7 @@ def test_Result_get_dataset_method(dummy_result: Result):
     assert result == dummy_result.data["dataset_1"]
 
 
-def test_Result_get_dataset_method_error(dummy_result: Result):
+def test_result_get_dataset_method_error(dummy_result: Result):
     """Result.get_dataset(dataset_label) error on wrong key."""
 
     with pytest.raises(ValueError, match="Unknown dataset 'foo'"):
diff --git a/glotaran/io/__init__.py b/glotaran/io/__init__.py
index 343456a92..ef3e254ed 100644
--- a/glotaran/io/__init__.py
+++ b/glotaran/io/__init__.py
@@ -6,8 +6,11 @@
 reexports functions from the pluginsystem from a common place.
 """
 
+from glotaran.io.interface import SAVING_OPTIONS_DEFAULT
+from glotaran.io.interface import SAVING_OPTIONS_MINIMAL
 from glotaran.io.interface import DataIoInterface
 from glotaran.io.interface import ProjectIoInterface
+from glotaran.io.interface import SavingOptions
 from glotaran.io.prepare_dataset import prepare_time_trace_dataset
 from glotaran.plugin_system.data_io_registration import data_io_plugin_table
 from glotaran.plugin_system.data_io_registration import get_dataloader
@@ -17,9 +20,6 @@
 from glotaran.plugin_system.data_io_registration import save_dataset
 from glotaran.plugin_system.data_io_registration import set_data_plugin
 from glotaran.plugin_system.data_io_registration import show_data_io_method_help
-from glotaran.plugin_system.project_io_registration import SAVING_OPTIONS_DEFAULT
-from glotaran.plugin_system.project_io_registration import SAVING_OPTIONS_MINIMAL
-from glotaran.plugin_system.project_io_registration import SavingOptions
 from glotaran.plugin_system.project_io_registration import get_project_io_method
 from glotaran.plugin_system.project_io_registration import load_model
 from glotaran.plugin_system.project_io_registration import load_parameters
diff --git a/glotaran/io/interface.py b/glotaran/io/interface.py
index f6c5e5019..aacde089b 100644
--- a/glotaran/io/interface.py
+++ b/glotaran/io/interface.py
@@ -12,10 +12,12 @@
 
 from __future__ import annotations
 
+from dataclasses import dataclass
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
     from typing import Callable
+    from typing import Literal
     from typing import Union
 
     import xarray as xr
@@ -29,6 +31,20 @@
     DataSaver = Callable[[str, Union[xr.Dataset, xr.DataArray]], None]
 
 
+@dataclass
+class SavingOptions:
+    """A collection of options for result saving."""
+
+    data_filter: list[str] | None = None
+    data_format: Literal["nc"] = "nc"
+    parameter_format: Literal["csv"] = "csv"
+    report: bool = True
+
+
+SAVING_OPTIONS_DEFAULT = SavingOptions()
+SAVING_OPTIONS_MINIMAL = SavingOptions(data_filter=["fitted_data", "residual"], report=False)
+
+
 class DataIoInterface:
     """Baseclass for Data IO plugins."""
 
@@ -62,9 +78,7 @@ def load_dataset(self, file_name: str) -> xr.Dataset | xr.DataArray:
         raise NotImplementedError(f"""Cannot read data with format: {self.format!r}""")
 
     def save_dataset(
-        self,
-        dataset: xr.Dataset | xr.DataArray,
-        file_name: str,
+        self, dataset: xr.Dataset | xr.DataArray, file_name: str, data_filters: list[str] = None
     ):
         """Save data from :xarraydoc:`Dataset` to a file (**NOT IMPLEMENTED**).
 
@@ -74,6 +88,8 @@ def save_dataset(
             Dataset to be saved to file.
         file_name : str
             File to write the data to.
+        data_filters : list[str]
+            A list of dataset items items to save.
 
 
         .. # noqa: DAR101
@@ -218,7 +234,12 @@ def load_result(self, result_path: str) -> Result:
         """
         raise NotImplementedError(f"Cannot read result with format {self.format!r}")
 
-    def save_result(self, result: Result, result_path: str) -> list[str] | None:
+    def save_result(
+        self,
+        result: Result,
+        result_path: str,
+        saving_options: SavingOptions = SAVING_OPTIONS_DEFAULT,
+    ) -> list[str] | None:
         """Save a Result instance to a spec file (**NOT IMPLEMENTED**).
 
         Parameters
@@ -227,6 +248,8 @@ def save_result(self, result: Result, result_path: str) -> list[str] | None:
             Result instance to save to specs file.
         result_path : str
             Path to write the result data to.
+        saving_options : SavingOptions
+            Options for the saved result.
 
 
         .. # noqa: DAR101
diff --git a/glotaran/plugin_system/data_io_registration.py b/glotaran/plugin_system/data_io_registration.py
index 549ac20dc..12215ef57 100644
--- a/glotaran/plugin_system/data_io_registration.py
+++ b/glotaran/plugin_system/data_io_registration.py
@@ -242,6 +242,7 @@ def save_dataset(
     io.save_dataset(  # type: ignore[call-arg]
         file_name=Path(file_name).as_posix(),
         dataset=dataset,
+        data_filters=data_filters,
         **kwargs,
     )
     dataset.attrs["loader"] = load_dataset
diff --git a/glotaran/plugin_system/project_io_registration.py b/glotaran/plugin_system/project_io_registration.py
index 6ca838b35..d3b9d0b44 100644
--- a/glotaran/plugin_system/project_io_registration.py
+++ b/glotaran/plugin_system/project_io_registration.py
@@ -8,14 +8,15 @@
 """
 from __future__ import annotations
 
-from dataclasses import dataclass
 from pathlib import Path
 from typing import TYPE_CHECKING
 from typing import TypeVar
 
 from tabulate import tabulate
 
+from glotaran.io.interface import SAVING_OPTIONS_DEFAULT
 from glotaran.io.interface import ProjectIoInterface
+from glotaran.io.interface import SavingOptions
 from glotaran.plugin_system.base_registry import __PluginRegistry
 from glotaran.plugin_system.base_registry import add_instantiated_plugin_to_registry
 from glotaran.plugin_system.base_registry import get_method_from_plugin
@@ -54,20 +55,6 @@
         Literal["save_result"],
     )
 
-
-@dataclass
-class SavingOptions:
-    """A collection of options for result saving."""
-
-    data_filter: list[str] | None = None
-    data_format: Literal["nc"] = "nc"
-    parameter_format: Literal["csv"] = "csv"
-    report: bool = True
-
-
-SAVING_OPTIONS_DEFAULT = SavingOptions()
-SAVING_OPTIONS_MINIMAL = SavingOptions(data_filter=["fitted_data", "residual"], report=False)
-
 PROJECT_IO_METHODS = (
     "load_model",
     "save_model",
@@ -447,6 +434,7 @@ def save_result(
     *,
     allow_overwrite: bool = False,
     update_source_path: bool = True,
+    saving_options: SavingOptions = SAVING_OPTIONS_DEFAULT,
     **kwargs: Any,
 ) -> list[str] | None:
     """Write a :class:`Result` instance to a spec file.
@@ -465,6 +453,8 @@ def save_result(
     update_source_path: bool
         Whether or not to update the ``source_path`` attribute to ``result_path`` when saving.
         by default True
+    saving_options : SavingOptions
+        Options for the saved result.
     **kwargs : Any
         Additional keyword arguments passes to the ``save_result`` implementation
         of the project io plugin.
@@ -481,6 +471,7 @@ def save_result(
     paths = io.save_result(  # type: ignore[call-arg]
         result_path=Path(result_path).as_posix(),
         result=result,
+        saving_options=saving_options,
         **kwargs,
     )
     if update_source_path is True:
diff --git a/glotaran/plugin_system/test/test_data_io_registration.py b/glotaran/plugin_system/test/test_data_io_registration.py
index 90efd1118..dcbd43b56 100644
--- a/glotaran/plugin_system/test/test_data_io_registration.py
+++ b/glotaran/plugin_system/test/test_data_io_registration.py
@@ -48,6 +48,7 @@ def save_dataset(  # type:ignore[override]
         self,
         file_name: StrOrPath,
         dataset: xr.Dataset | xr.DataArray,
+        data_filters: list[str] = None,
         *,
         result_container: dict[str, Any],
         **kwargs: Any,
diff --git a/glotaran/plugin_system/test/test_project_io_registration.py b/glotaran/plugin_system/test/test_project_io_registration.py
index ae0c1c0f8..f9b69d246 100644
--- a/glotaran/plugin_system/test/test_project_io_registration.py
+++ b/glotaran/plugin_system/test/test_project_io_registration.py
@@ -12,6 +12,8 @@
 from glotaran.parameter import ParameterGroup
 from glotaran.plugin_system.base_registry import PluginOverwriteWarning
 from glotaran.plugin_system.base_registry import __PluginRegistry
+from glotaran.plugin_system.project_io_registration import SAVING_OPTIONS_DEFAULT
+from glotaran.plugin_system.project_io_registration import SavingOptions
 from glotaran.plugin_system.project_io_registration import get_project_io
 from glotaran.plugin_system.project_io_registration import get_project_io_method
 from glotaran.plugin_system.project_io_registration import is_known_project_format
@@ -116,6 +118,8 @@ def save_result(  # type:ignore[override]
         self,
         result: Result,
         result_path: StrOrPath,
+        *,
+        saving_options: SavingOptions = SAVING_OPTIONS_DEFAULT,
         **kwargs: Any,
     ):
         result.func_args.update(  # type:ignore[attr-defined]
diff --git a/glotaran/project/result.py b/glotaran/project/result.py
index 9fb6bd9bf..586a56a28 100644
--- a/glotaran/project/result.py
+++ b/glotaran/project/result.py
@@ -15,6 +15,8 @@
 from tabulate import tabulate
 
 from glotaran.deprecation import deprecate
+from glotaran.io import SAVING_OPTIONS_DEFAULT
+from glotaran.io import SavingOptions
 from glotaran.io import load_result
 from glotaran.io import save_result
 from glotaran.model import Model
@@ -246,13 +248,15 @@ def __str__(self) -> str:
         """Overwrite of ``__str__``."""
         return str(self.markdown(with_model=False))
 
-    def save(self, path: str) -> list[str]:
+    def save(self, path: str, saving_options: SavingOptions = SAVING_OPTIONS_DEFAULT) -> list[str]:
         """Save the result to given folder.
 
         Parameters
         ----------
         path : str
             The path to the folder in which to save the result.
+        saving_options : SavingOptions
+            Options for the saved result.
 
         Returns
         -------
@@ -261,7 +265,13 @@ def save(self, path: str) -> list[str]:
         """
         return cast(
             List[str],
-            save_result(result_path=path, result=self, format_name="folder", allow_overwrite=True),
+            save_result(
+                result_path=path,
+                result=self,
+                format_name="folder",
+                allow_overwrite=True,
+                saving_options=saving_options,
+            ),
         )
 
     def recreate(self) -> Result:
diff --git a/glotaran/project/test/test_result.py b/glotaran/project/test/test_result.py
index 88aff2938..2a2e04e7e 100644
--- a/glotaran/project/test/test_result.py
+++ b/glotaran/project/test/test_result.py
@@ -1,9 +1,15 @@
 from __future__ import annotations
 
+from pathlib import Path
+
 import pytest
+import xarray as xr
 from IPython.core.formatters import format_display_data
 
 from glotaran.analysis.optimize import optimize
+from glotaran.io import SAVING_OPTIONS_DEFAULT
+from glotaran.io import SAVING_OPTIONS_MINIMAL
+from glotaran.io import SavingOptions
 from glotaran.project.result import Result
 from glotaran.testing.sequential_spectral_decay import SCHEME
 
@@ -27,3 +33,56 @@ def test_result_ipython_rendering(dummy_result: Result):
 
     assert "text/markdown" in rendered_markdown_return
     assert rendered_markdown_return["text/markdown"].startswith("| Optimization Result")
+
+
+def test_get_scheme(dummy_result: Result):
+    scheme = dummy_result.get_scheme()
+    assert "residual" not in dummy_result.scheme.data["dataset_1"]
+    assert "residual" not in scheme.data["dataset_1"]
+    assert all(scheme.parameters.to_dataframe() != dummy_result.scheme.parameters.to_dataframe())
+    assert all(
+        scheme.parameters.to_dataframe() == dummy_result.optimized_parameters.to_dataframe()
+    )
+
+
+@pytest.mark.parametrize("saving_options", [SAVING_OPTIONS_MINIMAL, SAVING_OPTIONS_DEFAULT])
+def test_save_result(tmp_path: Path, saving_options: SavingOptions, dummy_result: Result):
+    result_path = tmp_path / "test_result"
+    dummy_result.save(str(result_path), saving_options=saving_options)
+    files_must_exist = [
+        "glotaran_result.yml",
+        "scheme.yml",
+        "model.yml",
+        "initial_parameters.csv",
+        "optimized_parameters.csv",
+        "parameter_history.csv",
+        "dataset_1.nc",
+    ]
+    files_must_not_exist = []
+    if saving_options.report:
+        files_must_exist.append("result.md")
+    else:
+        files_must_not_exist.append("result.md")
+
+    for file in files_must_exist:
+        assert (result_path / file).exists()
+
+    for file in files_must_not_exist:
+        assert not (result_path / file).exists()
+
+    dataset_path = result_path / "dataset_1.nc"
+    assert dataset_path.exists()
+    dataset = xr.open_dataset(dataset_path)
+    print(dataset)
+    if saving_options.data_filter is not None:
+        assert len(saving_options.data_filter) == len(dataset)
+        assert all(d in dataset for d in saving_options.data_filter)
+
+
+def test_recreate(dummy_result):
+    recreated_result = dummy_result.recreate()
+    assert recreated_result.success
+
+
+def test_verify(dummy_result):
+    assert dummy_result.verify()