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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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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]. |
format | Online Article Text |
id | pubmed-6141380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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