Data and code for: Automatic fish scale analysis

This dataset accompanies the publication:<br><b>"Automatic fish scale analysis: age determination, annuli and circuli detection, length and weight back-calculation of coregonid scales"</b><br>It provides all essential data and statistical outputs used for the <b>verification and validation</b> of the <i>Coregon Analyzer</i> – a Python-based algorithm for automated biometric fish scale measurement.Includeed in this repository: <b>Raw data files:</b><code>comparison_all_scales.csv</code> – manually verified vs. automated measurements of 1095 coregonid scales<code>Validation_data.csv</code> – manually measured scale data under binocular<code>Parameter_correction_numeric.csv</code> – calibration data (scale radius vs. fish length/weight)<b>Statistical results:</b><code>comparison_stats_core_variables.csv</code> – verification statistics (bias, relative error, limits of agreement)<code>Validation_statistics.csv</code> – summary statistics and model fits (manual vs. automated) <b>Executable script (not GUI):</b><code>Algorithm.py</code> – core processing module for scale feature extraction<br>→ <i>Note: The complete Coregon Analyzer application (incl. GUI, pre/post-processing) is available upon request from the authors and is not included here.</i> <b>README.txt</b> – detailed file explanations and usage instructionsThe full statistical analysis and visualization pipeline is implemented in R and hosted on GitHub:<br><b>github.com/USERNAME/automatic-fish-scale-analysis-r-scripts</b>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:<br><b>[e-mail]</b>