- Abstract:
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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 resol...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 193.2KB)
-
- Publisher copy:
- 10.1016/j.dib.2018.06.069
-
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- Publisher:
- Elsevier Publisher's website
- Journal:
- Data in Brief Journal website
- Volume:
- 19
- Pages:
- 1647-1649
- Publication date:
- 2018-06-26
- Acceptance date:
- 2018-06-19
- DOI:
- ISSN:
-
2352-3409
- Pubs id:
-
pubs:867542
- URN:
-
uri:abdbd790-9390-4843-8af5-e11eaeaccce9
- UUID:
-
uuid:abdbd790-9390-4843-8af5-e11eaeaccce9
- Local pid:
- pubs:867542
- Language:
- English
- Copyright holder:
- Harvey et al.
- Copyright date:
- 2018
- Notes:
- Copyright © 2018 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Journal article
Raw high-speed schlieren footage of acoustic waves in air for subsequent computational analysis and audio recovery
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