Alkymist, UnnDerr - Audio Analysis Dataset (Metal Music)

Artist: AlkymistAlbum: UnnDerrGenre: Doom MetalNumber of Tracks: 7

This dataset provides a comprehensive audio analysis of the album UnnDerr by Alkymist, a Doom Metal project renowned for its heavy, slow tempos and atmospheric intensity. The dataset includes analytical data for all 7 tracks on the album, focusing on a variety of spectral, harmonic, and rhythmic features. Each track is accompanied by:

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:

This dataset is curated for researchers, musicians, and fans who wish to explore the sonic depth and nuances of Doom Metal. It serves as an invaluable resource for genre-specific studies, comparative music analysis, and a deeper understanding of UnnDerr by Alkymist.

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.