Data and code for: Automatic fish scale analysis

This dataset accompanies the publication:
"Automatic fish scale analysis: age determination, annuli and circuli detection, length and weight back-calculation of coregonid scales"

It provides all essential data and statistical outputs used for the verification and validation of the Coregon Analyzer – a Python-based algorithm for automated biometric fish scale measurement.
Includeed in this repository:Raw data files:comparison_all_scales.csv – comparison_all_scales.csv - manually verified vs. automated measurements of 1095 coregonid scalesValidation_data.csv – manually measured scale data under binocularParameter_correction_numeric.csv – calibration data (scale radius vs. fish length/weight)Statistical results:comparison_stats_core_variables.csv – verification statistics (bias, relative error, limits of agreement)Validation_statistics.csv – summary statistics and model fits (manual vs. automated)Executable script (not GUI):Algorithm.py – core processing module for scale feature extraction
→ Note: The complete Coregon Analyzer application (incl. GUI, pre/post-processing) is available upon request from the authors and is not included here.README.txt – detailed file explanations and usage instructionsThe full statistical analysis and visualization pipeline is implemented in R and hosted on GitHub:
https://github.com/Birdy332/Automatic-fish-scale-analysis-r-scripts

All figures shown in the manuscript can be reproduced using these scripts and the datasets provided here.
For access to the full Coregon Analyzer software package, please contact the corresponding author:
[e-mail]