Antigama, Discomfort - Audio Analysis Dataset (Metal Music)

This dataset provides an in-depth audio analysis of Discomfort by Antigama, a ferocious Death Metal album released in 2004. Renowned for its chaotic energy, experimental elements, and relentless aggression, the album is broken down into its 13 tracks to uncover the layers of its complex sound. Each track analysis includes: Root Mean Square (RMS) Chroma Features Spectral Flatness Mel Frequency Cepstral Coefficients (MFCC) Zero Crossing Rate Onset Detection Function Spectrogram Spectral Centroid Spectral Contrast Spectral Bandwidth Tonnetz Harmonic and Percussive Components Included files for each track: CSV files containing numerical data from the analyses. JPG/PNG images of graphs illustrating the analyzed parameters. The analyses were performed using open-source software, primarily Librosa and Python, ensuring high transparency and reproducibility. Purpose of the Dataset: The dataset is an ideal resource for audio analysts, sound engineers, and metal enthusiasts looking to explore the raw and intricate essence of Discomfort. Software Used: The analyses were performed using the open-source software Librosa (Python), ensuring a transparent and reproducible approach. License: This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing data reuse for any purpose, provided the source is credited. Acknowledgments: Special thanks to the open-source community and tools like Librosa, which make analyses like this possible.