Published November 28, 2017
| Version v1
Dataset
Open
Identifying volatile metabolite signatures for the diagnosis of bacterial respiratory tract infection using electronic nose technology: a pilot study
Authors/Creators
- 1. Liverpool School of Tropical Medicine and Royal Liverpool University Hospital
- 2. Department of Statistics, University of Warwick
- 3. School of Engineering, University of Warwick
Description
Datasets for the Identifying volatile metabolite signatures for the diagnosis of bacterial respiratory tract infection using electronic nose technology: a pilot study.
Files
VOC_pt_14_to_23.zip
Files
(798.2 MB)
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md5:b0b54bc1b2bc022b7767254c1dcaedc7
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md5:f5742403abd1bf8362519251e9818189
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md5:69780ce7fccf3aa744762ed57fbd244f
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md5:b59cb1f71f100eef93e680dc6d36fa10
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md5:62a8f094fa865939c64d35d8897b6351
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md5:4629672d7e663811fb5ebe8ead921fbc
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md5:717faf6a7206312a67b49a6acb66d7a7
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89.1 MB | Preview Download |
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md5:7307292ac7d81efa28c865b143c332ff
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108.9 MB | Preview Download |