{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T03:03:02Z","timestamp":1760151782836,"version":"build-2065373602"},"reference-count":6,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Union","doi-asserted-by":"publisher","award":["813278"],"award-info":[{"award-number":["813278"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>The evolution of modern cyber-physical systems and the tremendous growth in the number of interconnected Internet of Things (IoT) devices are already paving new ways for the development of improved data collection and processing methods [...]<\/jats:p>","DOI":"10.3390\/data7050052","type":"journal-article","created":{"date-parts":[[2022,4,21]],"date-time":"2022-04-21T01:55:51Z","timestamp":1650506151000},"page":"52","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Measurements of User and Sensor Data from the Internet of Things (IoT) Devices"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3412-1639","authenticated-orcid":false,"given":"Aleksandr","family":"Ometov","sequence":"first","affiliation":[{"name":"Electrical Engineering Unit, Tampere University, 33720 Tampere, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4338-4334","authenticated-orcid":false,"given":"Joaqu\u00edn","family":"Torres-Sospedra","sequence":"additional","affiliation":[{"name":"ALGORITMI Research Centre, Universidade do Minho, 4800-058 Guimar\u00e3es, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Alshaibi, A., Al-Ani, M., Al-Azzawi, A., Konev, A., and Shelupanov, A. (2022). The Comparison of Cybersecurity Datasets. Data, 7.","DOI":"10.3390\/data7020022"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Trautmann, J., Zhou, L., Brahms, C.M., Tunca, C., Ersoy, C., Granacher, U., and Arnrich, B. (2021). TRIPOD\u2014A Treadmill Walking Dataset with IMU, Pressure-Distribution and Photoelectric Data for Gait Analysis. Data, 6.","DOI":"10.3390\/data6090095"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Miron, A., Sadawi, N., Ismail, W., Hussain, H., and Grosan, C. (2021). IntelliRehabDS (IRDS)\u2014A Dataset of Physical Rehabilitation Movements. Data, 6.","DOI":"10.3390\/data6050046"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Masek, P., Stusek, M., Svertoka, E., Pospisil, J., Burget, R., Lohan, E.S., Marghescu, I., Hosek, J., and Ometov, A. (2021). Measurements of LoRaWAN Technology in Urban Scenarios: A Data Descriptor. Data, 6.","DOI":"10.3390\/data6060062"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Vela, A., Alvarado-Uribe, J., and Ceballos, H.G. (2021). Indoor Environment Dataset to Estimate Room Occupancy. Data, 6.","DOI":"10.3390\/data6120133"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Ali, U., Caso, G., De Nardis, L., Kousias, K., Rajiullah, M., Alay, O., Neri, M., Brunstrom, A., and Di Benedetto, M.G. (2022). Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks. Data, 7.","DOI":"10.3390\/data7030034"}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/7\/5\/52\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:57:12Z","timestamp":1760137032000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/7\/5\/52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,20]]},"references-count":6,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2022,5]]}},"alternative-id":["data7050052"],"URL":"https:\/\/doi.org\/10.3390\/data7050052","relation":{},"ISSN":["2306-5729"],"issn-type":[{"type":"electronic","value":"2306-5729"}],"subject":[],"published":{"date-parts":[[2022,4,20]]}}}