diff --git a/glotaran/examples/parallel_spectral_decay.py b/glotaran/examples/parallel_spectral_decay.py
index 5e7e145c5..9e6a17124 100644
--- a/glotaran/examples/parallel_spectral_decay.py
+++ b/glotaran/examples/parallel_spectral_decay.py
@@ -64,4 +64,4 @@
     noise_std_dev=1e-2,
 )
 
-SCHEME = Scheme(model=MODEL, parameters=PARAMETER, data={"dataset1": DATASET})
+SCHEME = Scheme(model=MODEL, parameters=PARAMETER, data={"dataset_1": DATASET})
diff --git a/glotaran/examples/sequential_spectral_decay.py b/glotaran/examples/sequential_spectral_decay.py
index 1a0fbf27f..7c771eb97 100644
--- a/glotaran/examples/sequential_spectral_decay.py
+++ b/glotaran/examples/sequential_spectral_decay.py
@@ -64,4 +64,4 @@
     noise_std_dev=1e-2,
 )
 
-SCHEME = Scheme(model=MODEL, parameters=PARAMETER, data={"dataset1": DATASET})
+SCHEME = Scheme(model=MODEL, parameters=PARAMETER, data={"dataset_1": DATASET})
diff --git a/glotaran/project/test/test_result.py b/glotaran/project/test/test_result.py
index b8a1670a2..362836e20 100644
--- a/glotaran/project/test/test_result.py
+++ b/glotaran/project/test/test_result.py
@@ -4,9 +4,7 @@
 from IPython.core.formatters import format_display_data
 
 from glotaran.analysis.optimize import optimize
-from glotaran.analysis.simulation import simulate
-from glotaran.analysis.test.models import ThreeDatasetDecay as suite
-from glotaran.project import Scheme
+from glotaran.examples.sequential_spectral_decay import SCHEME
 from glotaran.project.result import IncompleteResultError
 from glotaran.project.result import Result
 
@@ -14,27 +12,8 @@
 @pytest.fixture(scope="session")
 def dummy_result():
     """Dummy result for testing."""
-
-    wanted_parameters = suite.wanted_parameters
-    data = {}
-    for i in range(3):
-        global_axis = getattr(suite, "global_axis" if i == 0 else f"global_axis{i+1}")
-        model_axis = getattr(suite, "model_axis" if i == 0 else f"model_axis{i+1}")
-
-        data[f"dataset{i+1}"] = simulate(
-            suite.sim_model,
-            f"dataset{i+1}",
-            wanted_parameters,
-            {"global": global_axis, "model": model_axis},
-        )
-    scheme = Scheme(
-        model=suite.model,
-        parameters=suite.initial_parameters,
-        data=data,
-        maximum_number_function_evaluations=1,
-    )
-
-    yield optimize(scheme)
+    print(SCHEME.data["dataset_1"])
+    yield optimize(SCHEME, raise_exception=True)
 
 
 def test_result_ipython_rendering(dummy_result: Result):