credit Stefan in examples

examples/example1.py

@@ -14,6 +14,7 @@
 
 # %% [markdown]
 # # Example 1. System with two processes, two parameters, one material.
+# *ODYM example by Stefan Pauliuk, adapted for sodym*
 #
 # A simple MFA system with one material, a time horizon of 30 years [1980-2010], two processes, and a time-dependent parameter is analysed.
 #

examples/example2.py

@@ -14,6 +14,7 @@
 
 # %% [markdown]
 # # Example 2. Alloying elements in recycling.
+# *ODYM example by Stefan Pauliuk, adapted for sodym*
 #
 # A recycling system with two end-of-life (EoL) products, two scrap types, one secondary material, and several types of losses are studied. Three chemical elements are considered: iron, copper, and manganese. A time horizon of 30 years [1980-2010], five processes, and time-dependent parameters are analysed. The processes have element-specific yield factors, meaning that the loss rates depend on the chemical element considered. These values are given below.
 #

examples/example3.py

@@ -14,6 +14,7 @@
 
 # %% [markdown]
 # # Example 3. Dynamic Stock modelling
+# *ODYM example by Stefan Pauliuk, adapted for sodym*
 #
 # sodym defines the class DynamicStockModel for handling the inflow-driven and stock driven model of in-use stocks, see methods section 3 of the [uni-freiburg industrial ecology course](http://www.teaching.industrialecology.uni-freiburg.de/). In this notebook, we show how the dynamic stock model is used in the sodym framework. Other methods of the dynamic_stock_modelling class can be used in a similar way.
 #

examples/example5.py

@@ -14,6 +14,7 @@
 
 # %% [markdown]
 # # Example 5. Estimating the material content of the global vehicle fleet
+# *ODYM example by Stefan Pauliuk, adapted for sodym*
 #
 # This example shows a fully-fledged MFA system, designed to estimate the material composition of the global passenger vehicle fleet in 2017, covering 130 countries, 25 age-cohorts, and 25 materials.
 #