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00_ReadMe.txt
Feb 24, 2026 - Replication Data for: Selection against hybrids maintains genetic divergence between populations of a coastal cleaner fish translocated across a genetic break
Plain Text - 4.8 KB - MD5: 983da98a3fdee573d87018e73cd2518b
Description of the dataset.
Selection_against_hybrid_wrasses_GenotypeData.txt
Feb 24, 2026 - Replication Data for: Selection against hybrids maintains genetic divergence between populations of a coastal cleaner fish translocated across a genetic break
Plain Text - 69.4 KB - MD5: f79f71b3bdca13bd6dfa4b65ee818a05
A table containing the genotype data saved as three-digit Genepop in txt format
Selection_against_hybrid_wrasses_Morphology.txt
Feb 24, 2026 - Replication Data for: Selection against hybrids maintains genetic divergence between populations of a coastal cleaner fish translocated across a genetic break
Plain Text - 6.8 KB - MD5: d56925fec42fed48375beaa3e24aaa8c
A table containing the morphological data in txt format
00_ReadMe.txt
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
calculate_output.m
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
make_w_gc.m
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
ML_dev_part1.ipynb
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
ML_dev_part2.ipynb
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
oil_field_model.m
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
openloop_simulation.m
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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