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Gzip Archive - 3.7 GB - MD5: d8cfa70c86921d05ba1b06c2ebf92718
Images of experiment E3_1
Gzip Archive - 2.9 GB - MD5: a4d4465c1e28108527c59b30581071d3
Images of experiment E3_2
Gzip Archive - 1.5 GB - MD5: 3f6d6ab9538737ef1bb7e6d2c4b29e79
Images of experiment E4_1
Gzip Archive - 3.3 GB - MD5: 095808c8821b5cc514b5e4d2007cb010
Images of experiment E4_2
Gzip Archive - 79.4 MB - MD5: 36938f671df5b3bd10847572869d5cab
Images of experiment E5
Gzip Archive - 1.6 GB - MD5: f09d6deaa6a69934bfaafa8dd0a7e608
E6_1
Gzip Archive - 2.1 GB - MD5: 73bd56b9f850db5eae8f4b8ffebe76d1
Images of experiment E6_2
Gzip Archive - 2.7 GB - MD5: f30e3692b90319385a61d0e9001872bc
Images of experiment E7
Gzip Archive - 23.8 GB - MD5: 3d3009db4ab82a5aed094fc657a7f7a1
test description
ZIP Archive - 2.1 MB - MD5: 0f2bb0ed3c4c50074e9bafa54f85ede3
Python code used to generate and evaluate the data. This archive includes a README with instructions on how to use the code and integrate the two data archives.
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