Supplementary data for: Electrochemical corrosion analysis of Zr–Nb and Zr–Sn alloys using classical, noise, and wavelet-based methods

This dataset contains processed electrochemical data supporting the manuscript "Electrochemical corrosion analysis of Zr–Nb and Zr–Sn alloys using classical, noise, and wavelet-based methods" submitted to Journal of Nuclear Materials. Contents: Time-domain electrochemical noise (ECN) data for Zr-Nb (300, 400, 600 ppm Fe) and Zr-Sn (1100 ppm Fe) alloys Frequency-domain Power Spectral Density (PSD) data derived from ECN measurements Python Jupyter notebook (Wavelet Level 8 Code.ipynb) implementing Daubechies 4 (db4) wavelet decomposition for multiscale signal analysis File structure: *_Time.xlsx: Time-domain current and potential noise signals *_Frequency.xlsx: Frequency-domain PSD spectra and spectral noise resistance (Rsn) calculations Wavelet Level 8 Code.ipynb: Python code for wavelet decomposition (level 8) and statistical analysis Alloys studied: Zr-Nb with 300, 400, and 600 ppm Fe Zr-Sn with 1100 ppm Fe Experimental conditions: Electrolyte: 0.1 mol/L Na₂SO₄, pH 5.5 Temperature: ambient (25 ± 2°C) Sampling rate: 2 Hz (ECN) Frequency range: 100 kHz to 10 mHz (EIS) Raw time-series data (approximately 2 GB) are available from the corresponding author upon reasonable request. Corresponding author: Alexandre Roberto Soares ([e-mail])