Merge pull request #132 from Image-X-Institute/update_broken_links

fixed broken links in the example readmes...

examples/ApertureOptimisation/README.md

@@ -29,12 +29,12 @@ When you have finished working through this example you should have a working di
 
 ## Copy the base topas files
 
-The code will need to know where your base model is stored. The base model for this application is available [here](https://cloudstor.aarnet.edu.au/plus/s/Rpyc2nv83zxBUXy). Download and unzip this folder, and place the contents inside your working directory (ApertureOptExample in this example). Note that in principle these files can reside anywhere; we are only using the working directory to make this example as simple as possible!  
+The code will need to know where your base model is stored. The base model for this application is available [here](https://zenodo.org/records/10369317). Download and unzip this folder, and place the contents inside your working directory (ApertureOptExample in this example). Note that in principle these files can reside anywhere; we are only using the working directory to make this example as simple as possible!  
 
 > hint: if you are running this example inside a command window use the following commands:
 
 ```bash
-wget -O start_files.zip https://cloudstor.aarnet.edu.au/plus/s/Rpyc2nv83zxBUXy/download
+wget -O start_files.zip "https://zenodo.org/records/10369317/files/SimpleCollimatorExample_TopasFiles(2).zip?download=1"
 # ^this is all one line!
 unzip start_files.zip
 rm start_files.zip

examples/NoisyOptimisation/README.md

@@ -124,7 +124,7 @@ cd n_particles_500000/scripts
 cd ../..
 ```
 
-You can go ahead and generate results locally if you want, but it is somewhat time consuming, so if you want you can just [download the pre-run results]([https://cloudstor.aarnet.edu.au/plus/s/7X2fwap7iIvC71O](https://zenodo.org/records/10369362)) and continue...
+You can go ahead and generate results locally if you want, but it is somewhat time consuming, so if you want you can just [download the pre-run results](https://zenodo.org/records/10369362) and continue...
 
 ## Set up a plotting function
 
@@ -241,7 +241,7 @@ GroundTruthDataPath = str(Path(__file__).parent / 'SimpleCollimatorExample_Topas
 # to wherever your ground truth results are
 ```
 
-Remember you can also [download the ground truth results](https://cloudstor.aarnet.edu.au/plus/s/Wm9vndV47u941JU)
+Remember you can also [download the ground truth results](https://zenodo.org/records/10369362)
 
 Ok, now we can run `quantify_noise.py`, which will produce the following results: