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Raw high-speed schlieren footage of acoustic waves in air for subsequent computational analysis and audio recovery

The dataset presented here comprises 79 raw, unprocessed video files obtained from the high-speed schlieren imaging of acoustic waves in air, each with a corresponding metadata file. The majority of the footage was recorded at 50,000 frames per second, with each condition filmed for a duration of 20...

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Detalles Bibliográficos
Autores principales: Harvey, Joshua S., Smithson, Hannah E., Siviour, Clive R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141380/
https://www.ncbi.nlm.nih.gov/pubmed/30229038
http://dx.doi.org/10.1016/j.dib.2018.06.069
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author Harvey, Joshua S.
Smithson, Hannah E.
Siviour, Clive R.
author_facet Harvey, Joshua S.
Smithson, Hannah E.
Siviour, Clive R.
author_sort Harvey, Joshua S.
collection PubMed
description The dataset presented here comprises 79 raw, unprocessed video files obtained from the high-speed schlieren imaging of acoustic waves in air, each with a corresponding metadata file. The majority of the footage was recorded at 50,000 frames per second, with each condition filmed for a duration of 20 ms. The dataset includes footage corresponding to a wide range of signals, in terms of waveform, frequency, and amplitude, as well as varied imaging parameters (exposure, frame rate, spatial resolution). This Data in Brief article is to accompany the research article “Visualization of acoustic waves in air and subsequent audio recovery with a high-speed schlieren imaging system: Experimental and computational development of a schlieren microphone” [1].
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spelling pubmed-61413802018-09-18 Raw high-speed schlieren footage of acoustic waves in air for subsequent computational analysis and audio recovery Harvey, Joshua S. Smithson, Hannah E. Siviour, Clive R. Data Brief Engineering The dataset presented here comprises 79 raw, unprocessed video files obtained from the high-speed schlieren imaging of acoustic waves in air, each with a corresponding metadata file. The majority of the footage was recorded at 50,000 frames per second, with each condition filmed for a duration of 20 ms. The dataset includes footage corresponding to a wide range of signals, in terms of waveform, frequency, and amplitude, as well as varied imaging parameters (exposure, frame rate, spatial resolution). This Data in Brief article is to accompany the research article “Visualization of acoustic waves in air and subsequent audio recovery with a high-speed schlieren imaging system: Experimental and computational development of a schlieren microphone” [1]. Elsevier 2018-06-26 /pmc/articles/PMC6141380/ /pubmed/30229038 http://dx.doi.org/10.1016/j.dib.2018.06.069 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Engineering
Harvey, Joshua S.
Smithson, Hannah E.
Siviour, Clive R.
Raw high-speed schlieren footage of acoustic waves in air for subsequent computational analysis and audio recovery
title Raw high-speed schlieren footage of acoustic waves in air for subsequent computational analysis and audio recovery
title_full Raw high-speed schlieren footage of acoustic waves in air for subsequent computational analysis and audio recovery
title_fullStr Raw high-speed schlieren footage of acoustic waves in air for subsequent computational analysis and audio recovery
title_full_unstemmed Raw high-speed schlieren footage of acoustic waves in air for subsequent computational analysis and audio recovery
title_short Raw high-speed schlieren footage of acoustic waves in air for subsequent computational analysis and audio recovery
title_sort raw high-speed schlieren footage of acoustic waves in air for subsequent computational analysis and audio recovery
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141380/
https://www.ncbi.nlm.nih.gov/pubmed/30229038
http://dx.doi.org/10.1016/j.dib.2018.06.069
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