This dataset contains location, proximity, events and contact information collected from mobile phones running iOS, in the context of the Breadcrumbs<\/a> project. The data was collected in mid 2018, from about 80 active iOS users.<\/p>\n Please e-mail\u00a0breadcrumbs@unil.ch <\/a>\u00a0to obtain the dataset.\u00a0The data is in the SQLite\u00a0format.<\/p>\n Please cite the following article if you use our dataset in your research:<\/p>\n (Android<\/a>\u00a0permissions)<\/p>\n This dataset contains runtime\u00a0permission decisions made on mobile phones running Android, in the context of the SmarPer<\/a> project. As a first step, we focused on a few\u00a0permissions\u00a0(i.e., location, contacts, and storage) for several\u00a0popular applications\u00a0(i.e., Facebook, Twitter,\u00a0Instagram, WhatsApp, Viber, Skype, Snapchat, The Weather Channel, and\u00a0AccuWeather). Specifically, the dataset\u00a0contains user runtime permission decisions (allow, deny or obfuscate\u2014obfuscation is data dependent, see\u00a0the\u00a0project website<\/a>\u00a0for more details) together with contextual information including:<\/p>\n The data was collected in mid\u00a02016, from about 40\u00a0active Android\u00a0users (totaling 8k+ runtime decisions). The participants were provided with rooted Nexus 5 phones (Android v5.1.1), which they used as their main phones (configured with their SIM card and their Google account) for at least ten days. The data collection was performed through the SmarPer app which is based on the Xposed framework<\/a>\/XPrivacy (v3.6.19). The participants also had to fill up an entry survey and an exit survey.<\/p>\n Please e-mail\u00a0smarper@epfl.ch<\/a>\u00a0to obtain the dataset.\u00a0The data is in the CSV\u00a0format.<\/p>\n Please cite the following article if you use our dataset in your research:<\/p>\n (Facebook<\/a> usage)<\/p>\n This dataset contains survey participants’ responses to three questions used to quantify the relative benefits of sharing\/viewing location and co-location information on Facebook, and the associated relative costs in terms of location privacy. Specifically, we assessed the participants\u2019 preferences regarding, respectively, (1) sharing vs. viewing posts with location information (i.e., check-in posts), (2) sharing posts with location information vs. sharing posts with colocation information, and (3) location privacy vs. benefits of sharing location information. We designed these survey questions by following a rigorous full-profile conjoint analysis approach. The datasets also contains general information about the participants’ Facebook general usage and location and co-location sharing on Facebook.<\/p>\n The data was collected in early 2016, from 250 active Facebook users recruited via the Amazon Mechanical Turk platform, through an online survey. The survey participants were asked to rank by preference a number of scenarios in which posts were removed from Facebook (e.g., “two of your recent posts are kept and one of your friend\u2019s recent posts is kept\u201d, \u201cnone of your recent posts is kept and one of your friend\u2019s recent posts is kept”). Preference factors can be extracted from the responses.<\/p>\n Please e-mail\u00a0kevin.huguenin@unil.ch<\/a>\u00a0to obtain the dataset. The dataset is in the csv format.<\/p>\n Please cite the following article if you use our dataset in your research:<\/p>\n (Foursquare <\/a>check-ins)<\/p>\n This dataset contains self-reported utility ratings, on a scale from 1 to 5, for obfuscated location check-ins (both at the geographic and semantic level). Each check-in is described by 14 attributes including the users’ age and gender, the types of venue, and the dates and times.<\/p>\n The data was collected in early 2015, from about 75 active Foursquare users recruited via the Amazon Mechanical Turk platform, through a personalized online survey. The survey participants were presented with some of their own past Foursquare check-ins; for each check-in, they were asked to rate on a scale from 1 to 5 the perceived utility of obfuscated versions of the check-ins (e.g., \u201cHotel, on Dearborn St. (Chicago 60654, IL, USA)\u201d, \u201cTravel & transport place, on Dearborn St. (Chicago 60654, IL, USA)\u201d, \u201cHotel, in Chicago (IL, USA)\u201d, and \u201cTravel & transport place, in Chicago (IL, USA)\u201d).<\/p>\n Please e-mail kevin.huguenin@unil.ch<\/a> to obtain the dataset. The dataset is in the Attribute-Relation File Format (arff) used by Weka<\/a>. The source code for building the model is available here<\/a>.<\/p>\n Please cite one of the following articles if you use our dataset in your research:<\/p>\n (FON<\/a> Wi-Fi access points)<\/p>\n This dataset contains the locations (geographic coordinates) and IDs of Wi-Fi access points from the FON<\/a> community network in Europe. FON is a large community network with over 18 million hotspots worldwide (e.g., in Belgium, France, Germany, Italy, Netherlands, Portugal, and in the UK, thanks to strategic partnerships with leader national ISPs). The access points composing the FON network are mostly routers and set-top boxes provided and operated by the ISPs. The data was collected in early 2013 (more recent versions are also available on request).<\/p>\n Please e-mail kevin.huguenin@unil.ch<\/a> to obtain the dataset.<\/p>\n Please cite one of the following articles if you use our dataset in your research:<\/p>\n Note:<\/strong> If you are looking for a dense Wi-Fi access point dataset in the US, we recommend using the locations of the new LinkNYC<\/a> network in New York (note that although the locations of the so-called Links are not all known yet, the locations of payphones, which the Links will replace, can be obtained from the NYC OpenData website<\/a>).<\/p>\n","protected":false},"excerpt":{"rendered":" Mobility dataset (aka Breadcrumbs) This dataset contains location, proximity, events and contact information collected from mobile phones running iOS, in the context of the Breadcrumbs project. The data was collected in mid 2018, from about 80 active iOS users. Please e-mail\u00a0breadcrumbs@unil.ch \u00a0to obtain the dataset.\u00a0The data is in the SQLite\u00a0format. Please cite the following article … <\/p>\nRuntime mobile permissions\u00a0dataset<\/h2>\n
\n
User (co-)location sharing\/viewing and utility\/privacy preferences dataset<\/h2>\n
Utility dataset<\/h2>\n
Community hotspots dataset<\/h2>\n