2031 22 7081 3 41982 document 7081 readme.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document e433e65074d70cff0243319b75f89b94 MD5 32114 2025-08-25 08:45:08 https://researchdata.gla.ac.uk/2031/1/readme.docx 2031 1 1 application/vnd.openxmlformats-officedocument.wordprocessingml.document Text en public cc_by_4

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readme 7082 1 41985 document 7082 indexcodes.txt text/plain 4d216fd550086857176ebba7b1c9c078 MD5 3270 2025-08-25 08:45:23 https://researchdata.gla.ac.uk/2031/2/indexcodes.txt 2031 2 2 text/plain other Generate index codes conversion from Text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://researchdata.gla.ac.uk/id/document/7081 http://eprints.org/relation/isVolatileVersionOf https://researchdata.gla.ac.uk/id/document/7081 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.gla.ac.uk/id/document/7081 archive 32968 disk0/00/00/20/31 2025-08-14 14:39:31 2025-08-25 10:28:52 2025-08-14 14:39:31 data_collection show Le Kernec Julien 35927 0000-0003-2124-6803 Akaydin Abdullah 69109 Li Zhenghui Fioranelli Francesco 36576 0000-0001-8254-8093 Shrestha Aman Li Haobo 39033 Shah Syed Aziz Yang Shufan glaresearchdata:2025-08-08-2031 pub 30300000 30600000 The data file associated with this dataset is too large for standard download (~35GB). Please use the request data button to arrange alternative access. This dataset is licensed with a Creative Commons Attribution CC-BY 4.0 license. Micro-Doppler signatures using STFT and IAA 2025-08-08 published University of Glasgow 10.5525/gla.researchdata.2031 Code Mixed University of Glasgow 301526 Intelligent RF Sensing for Fall and Health Prediction Francesco Fioranelli Engineering and Physical Sciences Research Council (EPSRC) EP/R041679/1 ENG - Systems Power & Energy FALSE English 2017-03 2019-03 https://doi.org/10.5525/gla.researchdata.848 data 2035-08-08 R file_share TRUE 300180068 cose TRUE https://eprints.gla.ac.uk/id/eprint/329523 https://eprints.gla.ac.uk/id/eprint/361629