655 14 3144 2 15560 document 3144 Raw_data.xlsm application/vnd.ms-excel ec1a24ec6a6bf28f011abf0e868f00ea MD5 432955049 2021-05-03 08:12:53 http://edata.bham.ac.uk/655/1/Raw_data.xlsm 655 1 1 application/vnd.ms-excel other public cc_by_4
Raw_data.xlsm
data archive 278 disk0/00/00/06/55 2021-05-06 12:59:24 2021-05-06 13:12:19 2021-05-06 12:59:24 data_collection show Kaewunruen Sakdirat S.Kaewunruen@bham.ac.uk 0000-0003-2153-3538 Sresakoolchai Jessada JSS814@student.bham.ac.uk Huang Junhui JXH596@student.bham.ac.uk Human vibration data stemming from different transportation usages 10col_ephy vibration, human activity, transportation, data, mode classification Human vibration data stemming from different activities and transportation usages (by trains, by buses, by bicycles by walking). 2021-05-01 published University of Birmingham https://doi.org/10.25500/edata.bham.00000655 Dataset research-data@contacts.bham.ac.uk School of Engineering other Hitachi Europe Transportation Classification using Machine Learning na yes no TRUE PI Kaewunruen Sakdirat s.kaewunruen@bham.ac.uk