Creator/Principal investigator(s):
Mikael Ögren - University of Gothenburg
Description:
Subject area:
Keywords:
Responsible department/unit:
Creator/Principal investigator(s):
Mikael Ögren - University of Gothenburg
Identifiers:
SND-ID: SND 1118
Purpose:
Description:
Language:
English
Swedish
Instrument:
Geographic spread:
Geographic location: Sweden
Geographic description: Southern Sweden
Unit of analysis:
Study design:
Experimental study
Subject area:
Keywords:
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Thorsson, Pontus, et al. "Creating sound immission mimicking real-life characteristics from a single wind turbine." Applied Acoustics 143 (2019): 66-73. DOI:10.1016/j.apacoust.2018.08.015
Ageborg Morsing, Julia, et al. "Wind turbine noise and sleep: Pilot studies on the influence of noise characteristics." International journal of environmental research and public health 15.11 (2018): 2573. DOI:10.3390/ijerph15112573
Thorsson, Pontus, et al. "Low-frequency outdoor–indoor noise level difference for wind turbine assessment." The Journal of the Acoustical Society of America 143.3 (2018): EL206-EL211. DOI:10.1121/1.5027018
If you have published anything based on these data, please notify us with a reference to your publication(s).
Version 1.0:
2019-09-04
doi:10.5878/32pm-2z71
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Citation:
Mikael Ögren. University of Gothenburg, Occupational and Environmental Medicine (2019). Sound files for the measurements of physiological effects of wind turbine noise on sleep. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/32pm-2z71
Description:
The sound files correspond to indoor noise from a wind turbine in a typical Swedish house. The sound files were synthesized using parameters describing the variation in level in different frequency bands extracted from outdoor measurements. The sound files were filtered to get indoor sound using typical facade insulation both with window closed and with a small gap.
The sound recordings which the synthetizied files are based on were performed at four different buildings exposed to noise from
Data format / data structure:
Audio
Data collection:
Mode of collection: Simulation
Time period(s) for data collection: 2014 — 2017
Source of the data: Physical objects