Sound Database for Research in Environmental and Perception Acousticsdoi:10.34622/datarepositorium/GKPKO9Repositório de Dados da Universidade do Minho2025-12-041Barroso, Mariana; Freitas, Elisabete; Almeida, Raul, 2025, "Sound Database for Research in Environmental and Perception Acoustics", https://doi.org/10.34622/datarepositorium/GKPKO9, Repositório de Dados da Universidade do Minho, V1, UNF:6:7nz4B8/DcdpZCwqlBjCmWA== [fileUNF]Sound Database for Research in Environmental and Perception Acousticsdoi:10.34622/datarepositorium/GKPKO9Barroso, MarianaFreitas, ElisabeteAlmeida, RaulIMPACT - IMProving users’ sAfety perCepTion of shared streets: Auditory, visual and geometry-based strategiesInstitute for Sustainability and Innovation in Structural Engineering (ISISE)Pulse AnalyserAudacityMATLABUID/4029/2025Repositório de Dados da Universidade do MinhoFreitas, ElisabeteAlmeida, RaulBarroso, Mariana2025-11-13EngineeringEnvironmental AcousticsSound PerceptionTraffic NoiseSoundscapePsychoacoustic IndicatorsClose Proximity Method (CPX)Urban NoiseTire-road noiseThis dataset contains all the relevant information about some sounds collected throughout the IMPACT Project - IMProving users’ sAfety perCepTion of shared streets: Auditory, visual and geometry-based strategies (https://doi.org/10.54499/2022.06271.PTDC). The sound data in the database was collected in different contexts and conditions, covering three main categories: (a) traffic noise obtained using the Close Proximity method (CPX); (b) traffic noise obtained during the crossing of speed bumps, also collected using the CPX method; and (c) soundscapes captured with the monophonic and spatial microphone. The dataset consists of .xlsx and .wav files. The .xlsx files contain information about the sounds collected, as well as the calculation of psychoacoustic indicators, in accordance with ISO/TS 12913.2022-10-042025-06-18Experimental data<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons Licence" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.Çakir Aydin, D., & Yilmaz, S. (2016). Assessment of sound environment pleasantness by sound quality metrics in urban spaces. A/Z ITU Journal of the Faculty of Architecture, 13(2), 87–99. https://doi.org/10.5505/itujfa.2016.75547Aumond, P., Can, A., De Coensel, B., Botteldooren, D., Ribeiro, C., & Lavandier, C. (2017). Modeling soundscape pleasantness using perceptual assessments and acoustic measurements along paths in urban context. Acta Acustica united with Acustica, 103(3), 430–443. https://doi.org/10.3813/AAA.919073Fan, J., Thorogood, M., & Pasquier, P. (2016). Automatic Soundscape affect recognition using a dimensional approach. AES: Journal of the Audio Engineering Society, 64(9), 646–653. 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