diff --git a/docs/source/markdown/Recreate_data_from_scratch.md b/docs/source/markdown/Recreate_data_from_scratch.md
index 5f1ffac..20660ad 100644
--- a/docs/source/markdown/Recreate_data_from_scratch.md
+++ b/docs/source/markdown/Recreate_data_from_scratch.md
@@ -2,11 +2,11 @@
 
 ## Recreate Figure 2 from the PeakPerformance publication
 
-Navigate to `docs/source/notebooks` and run the `Create_results_in_figure_2.ipynb` notebook.  
-  
+Navigate to `docs/source/notebooks` and run the `Create_results_in_figure_2.ipynb` notebook.
+
 It is separated into two sections which work and are structured in an analogous manner.
 The first creates the results figure for the single peak and the second for the double peak.
-Both sections walk through the following sequential steps:  
+Both sections walk through the following sequential steps:
   1. open and plot example raw data
   2. define a model
   3. perform both sampling and posterior predictive sampling
@@ -16,11 +16,11 @@ Both sections walk through the following sequential steps:
 
 ## Recreate the validation plot from the documentation
 
-To actually recreate the validation plot, navigate to `docs/source/notebooks` and run the notebook `Create_validation_plot_from_raw_data.ipynb`.  
-  
+To actually recreate the validation plot, navigate to `docs/source/notebooks` and run the notebook `Create_validation_plot_from_raw_data.ipynb`.
+
 However, not all data loaded in this notebook is raw data.
 Particularly, the data from the first stage of validation using synthetic data sets is pre-processed based on the results of said test using the notebook `Processing_test_1_raw_data.ipynb`.
-Since all necessary files are present for both notebooks, they can be run in any order.  
-  
+Since all necessary files are present for both notebooks, they can be run in any order.
+
 Also, the data for the comparison with the commercial software MultiQuant in the third stage of validation is contained in `docs/source/notebooks/test3_df_comparison.xlsx`.
 The `PeakPerformance` results listed in this file have been obtained by executing a batch run with the raw data stored in `docs/source/notebooks/paper raw data` using the settings detailed in the `Template.xlsx` file in the same directory.