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Plain Text - 69.4 KB -
MD5: f79f71b3bdca13bd6dfa4b65ee818a05
A table containing the genotype data saved as three-digit Genepop in txt format |
Plain Text - 6.8 KB -
MD5: d56925fec42fed48375beaa3e24aaa8c
A table containing the morphological data in txt format |
Feb 24, 2026 -
Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
Plain Text - 4.1 KB -
MD5: d876283a934a820f7703dd26e950e133
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Feb 24, 2026 -
Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
MATLAB Source Code - 459 B -
MD5: bfc538b18e25ef6c92be4f828244e4a7
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Feb 24, 2026 -
Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
MATLAB Source Code - 1.1 KB -
MD5: 61bda33eb19fff36c06dc94044f2e65a
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Feb 24, 2026 -
Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
Jupyter Notebook - 255.9 KB -
MD5: 15e085e50a122a36c8cc28635f956db7
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Feb 24, 2026 -
Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
Jupyter Notebook - 240.4 KB -
MD5: aec99d2af4b73cb120944552410a6f16
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Feb 24, 2026 -
Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
MATLAB Source Code - 4.2 KB -
MD5: 3afdf981934adb3916a638c92b3e0ef4
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Feb 24, 2026 -
Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
MATLAB Source Code - 4.4 KB -
MD5: ab8287accb12c0c577c099c750b6910e
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Feb 24, 2026 -
Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
Markdown Text - 155 B -
MD5: 0c05268200c7ad6592a1f7d9edf5d792
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