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Python Source Code - 22.4 KB - MD5: 85fb97e29b3820bdea6bc031fcfbcf4f
Data for figures 4B, 4C, and 4D in the .py file extension.
Jupyter Notebook - 119.5 KB - MD5: 33a35d58e6e42ae92917451be544036f
Data for figure 5A in the .ipynb file extension.
Python Source Code - 19.4 KB - MD5: 9c9af40d309d54bf2f8c7bc31f90dda9
Data for figure 5A in the .py file extension.
Jupyter Notebook - 800.3 KB - MD5: f1a872d21c51b828db78a3f2183e6c7b
Data for figures 5B, 5C, and 5D in the .ipynb file extension.
Python Source Code - 33.5 KB - MD5: a0ed5c227606748e44cab33f6f040b6c
Data for figures 5B, 5C, and 5D in the .py file extension.
Jupyter Notebook - 412.6 KB - MD5: 85928b39a13e957efecf8e1806a136f4
Data for figures 6 and 7 in the .ipynb file extension.
Python Source Code - 9.5 KB - MD5: aa9e02af5c21ae5e07d3e10027b8f438
Data for figures 6 and 7 in the .py file extension.
Jupyter Notebook - 316.8 KB - MD5: 802081fb938c9f223d72973186b86d9a
Data for figure 8 in the .ipynb file extension.
Python Source Code - 24.9 KB - MD5: 97229f17e2603ab16de68db1a07c1c73
Data for figure 8 in the .py file extension.
MS Powerpoint - 6.0 MB - MD5: 1ad672f1aea94e72f3bd13c61017d801
All figures presented in the corresponding paper.
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