Table 6.
List of publicly available datasets used in the literature.
| Dataset | Description | Application | Limitation/Link |
|---|---|---|---|
| Nodobo mobile phone records dataset | Nodobo contains mobile phone records of 27 graduating high school students from September 2010 until February 2011. These data were collected by a group of researchers at the University of Strathclyde, United Kingdom | Used in applications regarding detecting criminal networks [3,48] and anomaly detection [92] | It contains only communication data; hence, it is suited for applications related to human communication behaviors (https://pureportal.strath.ac.uk/en/datasets/nodobo-mobile-phone-usage-data (accessed on 20 September 2022)) |
| Smartsteps dataset | Anonymized and aggregated human behavioral data derived from Telefonica Digital Company, Portugal. | Used in applications regarding crime prediction in urban areas [29,30,41] | It contains only spatiotemporal data (https://tis.smartsteps.telefonica.com (accessed on 10 August 2022)) |
| Telecom Italia dataset | This mobile phone data published by Telecom Italia in 2014 | Used in applications regarding land use detection [22], urban hotspot detection [93], anomaly detection [94], and mapping population density [95] | It Is only suitable for limited applications (http://www.telecomitalia.com/tit/en/bigdatachallenge/contest.html (accessed on 12 November 2022)) |
| Orange’s ‘Data for Development’ (D4D) | This dataset contains two types of mobile data, mobile phone data at the aggregated level (aggregated CDRs) and the cell tower level. These data were generated from Orange mobile phone operator in Ivory Coast | Used in applications regarding home/work detection [96], land use detection [9], identifying user habits [97], and unusual event detection [21] | Only suitable for limited applications (http://www.d4d.orange.com (accessed on 21 October 2022)) |
| OpencellId database | This is the largest open database of cell towers in the world | Estimating ambient population [98] | It contains only location data (https://opencellid.org/ (accessed on 14 November 2022)) |