We provide a dataset of tornadoes and waterspouts in Chile from 1554 to present based in chronicles, newspaper articles, social media, scientific literature and books. The database includes only those events that have been qualified as more than likely a tornado or waterspout based on a subjective qualification by the researchers. For each tornado we provide at least one geographical location point, the local and UTC hour (if known) and for most cases an estimation of the intensity based on the Enhanced Fujita damage scale.The following are the parameters contained in the database:N°: This is the entry number or identifier for each record in the file.Location: The name of the place where the weather event occurred.Latitude: The geographical latitude coordinate of the event's location.Longitude: The geographical longitude coordinate of the event's location.Date (Gregorian Calendar): The date when the event occurred, according to the Gregorian calendar.Hour (local): The local time when the event occurred.Hour (UTC): The time of the event in Coordinated Universal Time (UTC).Sound: A binary indicator (usually 1 for 'Yes' and 0 for 'No') showing whether there was a notable sound associated with the event.Hail: A binary indicator showing whether hail was a feature of the weather event.Electric Storm: A binary indicator showing whether the event involved an electric storm.Damage: A binary indicator showing whether there was any damage resulting from the event.Tornado: A binary indicator showing whether a tornado was a part of the event.Waterspout: A binary indicator showing whether a waterspout was observed during the event.Register: This column refers to the existence of some witness account or visual material of a rotating column.Max. EF Rating: The maximum Enhanced Fujita Scale rating assigned to the tornado, indicating its intensity.Analyst: The name or initials of the person who analyzed or reported the event.Fatalities: The number of fatalities (deaths) caused by the event.Injured: The number of injuries reported due to the event.Link to Documents: References or links to documents where the event is described or recorded.Sources: The sources or references from where the information about the event is derived.Comments: Additional remarks or notes about the event, providing context or extra details.

After the 2013 heat wave, we conducted three UK-wide online surveys to examine public responses to heat. Participants in the longitudinal sample were surveyed in October 2013, April 2014, and July 2014. Participants in the refreshment sample were surveyed in July 2014. This UK-wide project examines whether UK residents’ positive feelings about hot summer weather did indeed undermine their willingness to implement heat protection behaviours during the 2013 heat wave. It also tests four strategies for promoting heat protection behaviours, including ones that invoke negative memories about extreme summer heat. Follow-up work will apply any new insights to other extreme weather events, like floods, droughts or snow. Findings will impact theory and practice about how to design effective risk communication, and help to promote public preparedness and resilience regarding extreme weather.Heat waves cause excess deaths, illness and discomfort. Although heat waves have been relatively rare in the UK, they are projected to become more common and intense under a changing climate. The summer of 2013 brought the first heat wave in seven years. To promote public protection against heat, the National Health Service and Public Health England released a heat wave plan. Recommended heat protection behaviours include staying in the shade, drinking plenty of liquids, and keeping an eye on vulnerable individuals. However, there is reason to believe that UK residents often have positive feelings about hot summer weather, which may undermine their willingness to implement recommended heat protection behaviours. Online surveys. Participants were randomly assigned to a no-instruction control group, or a group that was instructed to remember (a) high summer temperatures, (b) negative summer weather experiences, (c) negative summer weather experiences with high temperatures. Participants reported heat protection behaviors, trust in the agencies that release the heat wave plan, feelings about heat, and so on.