  Wi-Fi hotspots are a valuable resource for people on the go, especially
tourists, as they provide a means to connect personal devices to the Internet.
This extra connectivity can be helpful in many situations, e.g., to enable map
and chat applications to operate outdoors when cellular connectivity is
unavailable or is expensive. Retail stores and many public services have
recognized that hotspots have potential to attract and retain customers, so
many of them offer free and open Wi-Fi. In busy cities, with many locals and
visitors, the number of hotspots is very significant. Some of these hotspots
are available for long periods of time, while others are short-lived. When we
have many users with devices collecting hotspot observations, they can be used
to detect the location -- using the long-lived hotspots -- and to prove the
time when the location was visited -- using the short-lived hotspots observed
by others users at the location.
  In this article, we present a dataset of collected Wi-Fi data from the most
important tourist locations in the city of Lisbon, Portugal, over a period of
months, that was used to show the feasibility of using hotspot data for
location detection and proof. The obtained data and algorithms were assessed
for a specific use case: smart tourism. We also present the data model used to
store the observations and the algorithms developed to detect and prove
location of a user device at a specific time. The Lisbon Hotspots dataset,
LXspots, is made publicly available to the scientific community so that other
researchers can also make use of it to develop new and innovative mobile and
Internet of Things applications.
