added lots of files relating to data and figures from the paper about…

… AniMAIRE that will be published, so that the data will be storage for future potential usage by others who read the paper. Also modified things so that these files can be used as examples to anyone wanting to do replication of the work.

README.md

@@ -224,7 +224,10 @@ If you want to perform calculations only at a specific set of latitudes and long
 
 There are many ways you could plot this data. Several example functions,`plot_dose_map` and `create_single_dose_map_plotly`, have been supplied in `AniMAIRE` that uses matplotlib or plotly to plot the dose rates across Earth (i.e. as a function of latitude and longitude) at a given altitude. Both of these functions are available in the `dose_plotting` submodule supplied with AniMAIRE. Their specifications are the following:
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+>>>>>>> 8cd0505f6cee775badf8f4abb25e70ae2c943777
 
 ```
 def plot_dose_map(map_to_plot,
@@ -234,6 +237,7 @@ def plot_dose_map(map_to_plot,
                     **kwargs)
 ```
 for matplotlib plots, where map_to_plot is the Pandas DataFrame outputted by a run of `AniMAIRE`, with only one altitude selected. `plot_contours` can be switched on or off to control whether contours are added to the plot, and `levels` can be used to specify to number of contours and/or dose rates for the contours to correspond to. `hue_range` can also be supplied with a 2-value tuple to specify the limits of the colorbar to be plotted with the plot. 
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 To generate a plotly plot, you can run 
@@ -251,6 +255,11 @@ To generate a plotly plot, you can run
 ```
 =======
 >>>>>>> 8cd0505f6cee775badf8f4abb25e70ae2c943777
+=======
+
+To generate a plotly plot, you can run 
+```
+>>>>>>> 8cd0505f6cee775badf8f4abb25e70ae2c943777
 def create_single_dose_map_plotly(DF_to_use,
                                 selected_altitude_in_km)
 ```