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-scriptsAll 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]