More information about the datasets

README.md

@@ -106,6 +106,12 @@ across protected classes; identity characteristics; and sensitive, social, and o
 
 The dataset used is a composition of the ERA5 and CERRA reanalysis.
 
+More information about both datasets can be found in the Copernicus Climate Data Store:
+
+- [ERA5 hourly data on single levels from 1940 to present](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview)
+  
+- [CERRA sub-daily regional reanalysis data for Europe on single levels from 1984 to present](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-cerra-single-levels?tab=overview)
+
 The spatial coverage of the input grids (ERA5) is defined below, and corresponds to a 2D array of dimensions (60, 44):
 
 ```
@@ -154,7 +160,7 @@ The interpolation transformed the CERRA dataset to match the regular grid struct
 ### Speeds, Sizes, Times
 
 - Training time: The training duration for the ConvSwin2SR model is notably extensive, clocking in at 3,648 days to complete a total of 100 epochs with
-- a batch size of 2 for a total number of batches equal to ~43000.
+  a batch size of 2 for a total number of batches equal to ~43000.
 
 - Model size: The ConvSwin2SR model is a robust machine learning model boasting a total of 12,383,377 parameters.
   This size reflects a substantial capacity for learning and generalizing complex relationships within the data, enabling the model to