diff --git a/pyglotaran_examples/ex_two_datasets/ex_two_datasets2.py b/pyglotaran_examples/ex_two_datasets/ex_two_datasets2.py
new file mode 100644
index 0000000..45d77de
--- /dev/null
+++ b/pyglotaran_examples/ex_two_datasets/ex_two_datasets2.py
@@ -0,0 +1,40 @@
+from datetime import datetime
+
+import matplotlib.pyplot as plt  # 3.3 or higher
+from glotaran.project.project import Project
+from pyglotaran_extras.plotting.plot_overview import plot_overview
+from pyglotaran_extras.plotting.style import PlotStyle
+
+
+project = Project.open(".")
+print(project.markdown())
+
+
+project.optimize(
+    "model_ex_two_datasets",
+    "parameters_ex_two_datasets",
+    name="result_ex_two_datasets",
+    maximum_number_function_evaluations=15,
+)
+
+result = project.load_result("result_ex_two_datasets")
+print(result.markdown(True))
+
+# recreation
+# result_recreated = result.recreate()
+
+# %% Plot and save as PDF
+# This set subsequent plots to the glotaran style
+plot_style = PlotStyle()
+plt.rc("axes", prop_cycle=plot_style.cycler)
+
+results_folder = project.get_result_path("result_ex_two_datasets")
+fig1 = plot_overview(result.data["data1"], linlog=True)
+timestamp = datetime.today().strftime("%y%m%d_%H%M")
+fig1.savefig(results_folder.joinpath(f"plot_overview_1of2_{timestamp}.pdf"), bbox_inches="tight")
+
+fig2 = plot_overview(result.data["data2"], linlog=True)
+timestamp = datetime.today().strftime("%y%m%d_%H%M")
+fig2.savefig(results_folder.joinpath(f"plot_overview_2of2_{timestamp}.pdf"), bbox_inches="tight")
+
+plt.show()
diff --git a/pyglotaran_examples/ex_two_datasets/models/model.yml b/pyglotaran_examples/ex_two_datasets/models/model_ex_two_datasets.yml
similarity index 98%
rename from pyglotaran_examples/ex_two_datasets/models/model.yml
rename to pyglotaran_examples/ex_two_datasets/models/model_ex_two_datasets.yml
index 0e63529..9967d70 100644
--- a/pyglotaran_examples/ex_two_datasets/models/model.yml
+++ b/pyglotaran_examples/ex_two_datasets/models/model_ex_two_datasets.yml
@@ -1,12 +1,12 @@
 type: kinetic-spectrum
 
 dataset:
-  dataset1:
+  data1:
     megacomplex: [complex1]
     initial_concentration: input1
     irf: irf1
     scale: scale.1
-  dataset2:
+  data2:
     megacomplex: [complex1]
     initial_concentration: input2
     irf: irf1
diff --git a/pyglotaran_examples/ex_two_datasets/models/parameters.yml b/pyglotaran_examples/ex_two_datasets/parameters/parameters_ex_two_datasets.yml
similarity index 100%
rename from pyglotaran_examples/ex_two_datasets/models/parameters.yml
rename to pyglotaran_examples/ex_two_datasets/parameters/parameters_ex_two_datasets.yml
diff --git a/pyglotaran_examples/ex_two_datasets/project.gta b/pyglotaran_examples/ex_two_datasets/project.gta
new file mode 100644
index 0000000..91a562e
--- /dev/null
+++ b/pyglotaran_examples/ex_two_datasets/project.gta
@@ -0,0 +1 @@
+version: 0.6.0.dev0
diff --git a/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/initial_parameters.csv b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/initial_parameters.csv
new file mode 100644
index 0000000..e78a41e
--- /dev/null
+++ b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/initial_parameters.csv
@@ -0,0 +1,14 @@
+label,value,expression,minimum,maximum,non-negative,vary,standard-error
+inputs.1,0.5,None,-inf,inf,True,False,None
+inputs.2,0.251,None,-inf,inf,True,True,None
+inputs.3,0.252,None,-inf,inf,True,True,None
+inputs.7,0.21,None,-inf,inf,True,True,None
+inputs.8,0.22,None,-inf,inf,True,True,None
+scale.1,1.0,None,-inf,inf,False,False,None
+scale.2,1.2,None,-inf,inf,False,True,None
+rates.k1,0.199,None,-inf,inf,True,True,None
+rates.k2,0.5,None,-inf,inf,True,True,None
+rates.k3,1.1,None,-inf,inf,True,True,None
+irf.center,0.5,None,-inf,inf,False,True,None
+irf.width,0.1,None,-inf,inf,False,True,None
+area.1,1.0,None,-inf,inf,False,False,None
diff --git a/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/model.yml b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/model.yml
new file mode 100644
index 0000000..6a62ea2
--- /dev/null
+++ b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/model.yml
@@ -0,0 +1,79 @@
+default_megacomplex: decay
+dataset_groups:
+  default:
+    residual_function: variable_projection
+    link_clp: null
+clp_area_penalties:
+- source: s1
+  source_intervals: [[300, 3000]]
+  target: s2
+  target_intervals: [[300, 3000]]
+  parameter: area.1
+  weight: 0.1
+- source: s1
+  source_intervals: [[300, 3000]]
+  target: s3
+  target_intervals: [[300, 3000]]
+  parameter: area.1
+  weight: 0.1
+k_matrix:
+  km1:
+    matrix:
+      (s1, s1): rates.k1
+      (s2, s2): rates.k2
+      (s3, s3): rates.k3
+initial_concentration:
+  input1:
+    compartments: [s1, s2, s3]
+    parameters:
+    - inputs.1
+    - inputs.2
+    - inputs.3
+    exclude_from_normalize: &id001 []
+  input2:
+    compartments: [s1, s2, s3]
+    parameters:
+    - inputs.1
+    - inputs.7
+    - inputs.8
+    exclude_from_normalize: *id001
+irf:
+  irf1:
+    type: spectral-multi-gaussian
+    center:
+    - irf.center
+    width:
+    - irf.width
+    normalize: true
+    backsweep: false
+    center_dispersion_coefficients: []
+    width_dispersion_coefficients: []
+    model_dispersion_with_wavenumber: false
+  irf1_no_dispersion:
+    type: spectral-multi-gaussian
+    center:
+    - irf.center
+    width:
+    - irf.width
+    normalize: true
+    backsweep: false
+    center_dispersion_coefficients: []
+    width_dispersion_coefficients: []
+    model_dispersion_with_wavenumber: false
+megacomplex:
+  complex1:
+    dimension: time
+    k_matrix: [km1]
+dataset:
+  data1:
+    group: default
+    megacomplex: [complex1]
+    scale: scale.1
+    initial_concentration: input1
+    irf: irf1
+  data2:
+    group: default
+    megacomplex: [complex1]
+    scale: scale.2
+    initial_concentration: input2
+    irf: irf1
diff --git a/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/optimized_parameters.csv b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/optimized_parameters.csv
new file mode 100644
index 0000000..3bb6539
--- /dev/null
+++ b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/optimized_parameters.csv
@@ -0,0 +1,14 @@
+label,value,expression,minimum,maximum,non-negative,vary,standard-error
+inputs.1,0.5,None,-inf,inf,True,False,None
+inputs.2,0.3241735606305694,None,-inf,inf,True,True,0.006016512068269458
+inputs.3,0.6637030039362178,None,-inf,inf,True,True,0.0019604282258593145
+inputs.7,0.07199305634408268,None,-inf,inf,True,True,0.007473183032103718
+inputs.8,0.28038519367032166,None,-inf,inf,True,True,0.001703415408630161
+scale.1,1.0,None,-inf,inf,False,False,None
+scale.2,1.0988429227695649,None,-inf,inf,False,True,5.0687678682918585e-05
+rates.k1,0.2609087519506281,None,-inf,inf,True,True,0.0003594210205855631
+rates.k2,1.1764960957874322,None,-inf,inf,True,True,0.0018332582913621488
+rates.k3,0.6161191387338244,None,-inf,inf,True,True,0.001294924541886501
+irf.center,0.3999993625795483,None,-inf,inf,False,True,5.5115045961994905e-06
+irf.width,0.0599642034148812,None,-inf,inf,False,True,7.46734564090631e-06
+area.1,1.0,None,-inf,inf,False,False,None
diff --git a/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/parameter_history.csv b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/parameter_history.csv
new file mode 100644
index 0000000..c245a11
--- /dev/null
+++ b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/parameter_history.csv
@@ -0,0 +1,147 @@
+,inputs.1,inputs.2,inputs.3,inputs.7,inputs.8,scale.1,scale.2,rates.k1,rates.k2,rates.k3,irf.center,irf.width,area.1
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diff --git a/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/plot_overview_1of2_220128_1338.pdf b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/plot_overview_1of2_220128_1338.pdf
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diff --git a/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/result.md b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/result.md
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+++ b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/result.md
@@ -0,0 +1,146 @@
+| Optimization Result           |                                   |
+|-------------------------------|-----------------------------------|
+| Number of residual evaluation | 15                                |
+| Number of variables           | 10                                |
+| Number of datapoints          | 51104                             |
+| Degrees of freedom            | 51094                             |
+| Chi Square                    | 4.35e+02                          |
+| Reduced Chi Square            | 8.52e-03                          |
+| Root Mean Square Error (RMSE) | 9.23e-02                          |
+| RMSE additional penalty       | [array([0.93214608, 0.34676102])] |
+
+| RMSE (per dataset)   |   weighted |   unweighted |
+|----------------------|------------|--------------|
+| 1.data1:             |   9.26e-02 |     9.26e-02 |
+| 2.data2:             |   9.18e-02 |     9.18e-02 |
+
+# Model
+
+_Megacomplex Types_: decay
+
+## Dataset Groups
+
+* **default**:
+  * *Label*: default
+  * *residual_function*: variable_projection
+  * *link_clp*: None
+
+## Clp Area Penalties
+
+* 
+    * *Source*: s1
+    * *Source Intervals*: 
+      * [300, 3000]
+    * *Target*: s2
+    * *Target Intervals*: 
+      * [300, 3000]
+    * *Parameter*: area.1(1.00e+00, fixed)
+    * *Weight*: 0.1
+  
+* 
+    * *Source*: s1
+    * *Source Intervals*: 
+      * [300, 3000]
+    * *Target*: s3
+    * *Target Intervals*: 
+      * [300, 3000]
+    * *Parameter*: area.1(1.00e+00, fixed)
+    * *Weight*: 0.1
+  
+
+## K Matrix
+
+* **km1**:
+    * *Label*: km1
+    * *Matrix*: 
+      * ('s1', 's1'): rates.k1(2.61e-01±3.59e-04, initial: 1.99e-01)
+      * ('s2', 's2'): rates.k2(1.18e+00±1.83e-03, initial: 5.00e-01)
+      * ('s3', 's3'): rates.k3(6.16e-01±1.29e-03, initial: 1.10e+00)
+  
+
+## Initial Concentration
+
+* **input1**:
+    * *Label*: input1
+    * *Compartments*: 
+      * s1
+      * s2
+      * s3
+    * *Parameters*: 
+      * inputs.1(5.00e-01, fixed)
+      * inputs.2(3.24e-01±6.02e-03, initial: 2.51e-01)
+      * inputs.3(6.64e-01±1.96e-03, initial: 2.52e-01)
+    * *Exclude From Normalize*: 
+  
+* **input2**:
+    * *Label*: input2
+    * *Compartments*: 
+      * s1
+      * s2
+      * s3
+    * *Parameters*: 
+      * inputs.1(5.00e-01, fixed)
+      * inputs.7(7.20e-02±7.47e-03, initial: 2.10e-01)
+      * inputs.8(2.80e-01±1.70e-03, initial: 2.20e-01)
+    * *Exclude From Normalize*: 
+  
+
+## Irf
+
+* **irf1** (spectral-multi-gaussian):
+    * *Label*: irf1
+    * *Type*: spectral-multi-gaussian
+    * *Center*: 
+      * irf.center(4.00e-01±5.51e-06, initial: 5.00e-01)
+    * *Width*: 
+      * irf.width(6.00e-02±7.47e-06, initial: 1.00e-01)
+    * *Normalize*: True
+    * *Backsweep*: False
+    * *Center Dispersion Coefficients*: 
+    * *Width Dispersion Coefficients*: 
+    * *Model Dispersion With Wavenumber*: False
+  
+* **irf1_no_dispersion** (spectral-multi-gaussian):
+    * *Label*: irf1_no_dispersion
+    * *Type*: spectral-multi-gaussian
+    * *Center*: 
+      * irf.center(4.00e-01±5.51e-06, initial: 5.00e-01)
+    * *Width*: 
+      * irf.width(6.00e-02±7.47e-06, initial: 1.00e-01)
+    * *Normalize*: True
+    * *Backsweep*: False
+    * *Center Dispersion Coefficients*: 
+    * *Width Dispersion Coefficients*: 
+    * *Model Dispersion With Wavenumber*: False
+  
+
+## Megacomplex
+
+* **complex1** (None):
+    * *Label*: complex1
+    * *Dimension*: time
+    * *K Matrix*: 
+      * km1
+  
+
+## Dataset
+
+* **data1**:
+    * *Label*: data1
+    * *Group*: default
+    * *Megacomplex*: 
+      * complex1
+    * *Scale*: scale.1(1.00e+00, fixed)
+    * *Initial Concentration*: input1
+    * *Irf*: irf1
+  
+* **data2**:
+    * *Label*: data2
+    * *Group*: default
+    * *Megacomplex*: 
+      * complex1
+    * *Scale*: scale.2(1.10e+00±5.07e-05, initial: 1.20e+00)
+    * *Initial Concentration*: input2
+    * *Irf*: irf1
+  
+
diff --git a/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/result.yml b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/result.yml
new file mode 100644
index 0000000..92f26d8
--- /dev/null
+++ b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/result.yml
@@ -0,0 +1,30 @@
+number_of_function_evaluations: 15
+success: true
+termination_reason: The maximum number of function evaluations is exceeded.
+glotaran_version: 0.6.0.dev0
+free_parameter_labels:
+- inputs.2
+- inputs.3
+- inputs.7
+- inputs.8
+- scale.2
+- rates.k1
+- rates.k2
+- rates.k3
+- irf.center
+- irf.width
+scheme: scheme.yml
+initial_parameters: initial_parameters.csv
+optimized_parameters: optimized_parameters.csv
+parameter_history: parameter_history.csv
+data:
+  data1: data1.nc
+  data2: data2.nc
+chi_square: 435.18971422848375
+degrees_of_freedom: 51094
+number_of_data_points: 51104
+number_of_jacobian_evaluations: 13
+number_of_variables: 10
+optimality: 18395.41689240259
+reduced_chi_square: 0.00851743285373006
+root_mean_square_error: 0.09228993907100633
diff --git a/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/scheme.yml b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/scheme.yml
new file mode 100644
index 0000000..535d062
--- /dev/null
+++ b/pyglotaran_examples/ex_two_datasets/results/result_ex_two_datasets/scheme.yml
@@ -0,0 +1,13 @@
+model: model.yml
+parameters: initial_parameters.csv
+data:
+  data1: ../../data/data1.ascii
+  data2: ../../data/data2.ascii
+clp_link_tolerance: 0.0
+maximum_number_function_evaluations: 15
+add_svd: true
+ftol: 1e-08
+gtol: 1e-08
+xtol: 1e-08
+optimization_method: TrustRegionReflection
+result_path: null