Mobiusi/School-Area-Noise-Pollution-Assessment-Dataset

School Area Noise Pollution Assessment Dataset

The core advantage of this dataset lies in its high level of data quality assurance, with annotation accuracy exceeding 95%. The standardization of the recording environment and strict quality control measures ensure data consistency and completeness. Technological innovations include the use of advanced sound source localization technology and automatic speech recognition methods, which enhance the efficiency and accuracy of noise event annotation. In terms of application value, this dataset supports the development of more efficient noise monitoring and management solutions, enabling real-time identification of noise sources within scenes. Compared to existing datasets, it offers a longer time span and wider geographical coverage. The unique samples of low noise and mixed environments of complex sound sources in the dataset provide a unique perspective and resources for research and development. Additionally, the dataset is highly scalable and can be adapted to different environmental monitoring tasks by adding collection devices and expanding the data scope.

Technical Specifications

Field	Type	Description
file_name	string	File name
duration	string	Duration
audio_rate	string	Audio sample rate
audio_channel	string	Audio channel
noise_level	float	Represents the intensity of noise in the audio file, measured in decibels.
noise_type	string	Describes the main type of noise source identified in the audio such as traffic noise, human voices, construction noise, etc.
dominant_frequency	float	The dominant frequency of the noise in the audio signal, measured in Hertz.
audio_quality	string	Evaluation of the overall quality of the audio file such as clear, muffled, etc.
num_of_peak_sounds	int	The number of peak sounds in the audio that exceed a certain noise level.
ambient_sound_level	float	Records the average sound level of background noise in the audio.
sound_event_count	int	The number of different sound events detected in the audio.
psychoacoustic_annoyance	float	The psychoacoustic annoyance index calculated based on the audio noise.

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com