Aara, Eiger - Audio Analysis Dataset (Metal Music)
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/14539354
下载链接
链接失效反馈官方服务:
资源简介:
Artist: AaraAlbum: EigerGenre: Black MetalNumber of Tracks: 8
This dataset provides a detailed audio analysis of the album Eiger by Aara, a Black Metal project renowned for its atmospheric and intricate compositions. The dataset includes analytical data for all 8 tracks on the album, focusing on a range 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 conducted using open-source software, primarily Librosa and Python, ensuring transparency and reproducibility.
This dataset is designed for researchers, musicians, and enthusiasts interested in exploring the sonic characteristics of Black Metal. It provides a foundation for comparative studies, genre analysis, and other explorative research into the unique soundscapes of Eiger.
Purpose of the Dataset:
This dataset is designed for researchers, musicians, and enthusiasts interested in exploring the sonic characteristics of Black Metal. It provides a foundation for comparative studies, genre analysis, and other explorative research into the unique soundscapes of Eiger.
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.
创建时间:
2024-12-21



