This study builds on an earlier study on the worldwide casualty toll from lightning. The present paper synthesizes data that are available on lightning deaths by country. It finds that for the lack of better information, the estimate of 6 deaths per million per year continues to be a candidate for the appropriate rate that can be modified in the future with better information. If this rate applies to 4 billion people, the resulting worldwide estimate continues to be 24,000 deaths and 240,000 injuries worldwide from lightning every year. The collection of lightning fatality totals over long periods is encouraged on a national basis in order to investigate the validity of these estimates. Presented at the 20th International Lightning Detection Conference, 21-23 April 2008, and the 2nd International Lightning Meterology Conference, 24-25 April 2008, Tuscon, Arizona.

This dataset contains the number of fatalities due to flood, debris flow, landslide, rockfall, windstorm, lightning, ice avalanche, earthquake and other processes like roof avalanche or lacustrine tsunami for each year since 1946. The following information is contained (by column and column title): * year * total number of hazard fatalities * number of fatalities by flood (German: Hochwasser, Überschwemmung). Flood includes people drowned in flooded or inundated areas or carried away in streams under high-water conditions. * number of fatalities by debris flow (German: Murgang). * number of fatalities by landslide (German: Erdrutsch). Landslide includes people killed by landslides and hillslope debris flows (German: Hangmure). * number of fatalities by rockfall (German: Steinschlag, Fels- und Bergsturz). * number of fatalities by windstorm (German: Sturm). Windstorm includes people killed by falling objects or trees during very strong wind conditions and people who drowned in lakes because their boat capsized during such conditions. * number of fatalities by lightning (German: Blitz). * number of fatalities by ice avalanche (German: Eislawine). * number of fatalities by earthquake (German: Erdbeben). * number of fatalities by other processes like roof avalanche, lacustrine tsunami (German: andere Prozesse wie Dachlawine, Tsunami im See). The data was collected based on newspaper research. For more information please refer to Badoux, A., Andres, N., Techel, F., and Hegg, C.: Natural hazard fatalities in Switzerland from 1946 to 2015, Nat. Hazards Earth Syst. Sci., 16, 2747-2768, https://doi.org/10.5194/nhess-16-2747-2016, 2016. The data collection is financed by the FOEN (with exception of the collection of the avalanche fatalities). The data contains the official statistics of the FOEN on fatalities due to flood, debris flow, landslide, rock fall and avalanche. Restrictions: The data set is not complete. Only fatalities in or around settlements and on open transportation routes are included. More precisely, fatalities were not collected, when persons exposed themselves to a great danger on purpose. Or fatalities during leisure activities which are connected to a higher risk were not included (this includes e.g. canoeing or river surfing during flood, canyoning, mountaineering, climbing, walking or driving on a closed road). Fatalities by avalanches are collected at the WSL Institute for Snow and Avalanche Research SLF. You can download the avalanche fatalities per hydrological year here and per calendar year here. For a direct comparison with the fatalities presented here, please download the data set with the calendar years and do not consider fatalities in the backcountry (tour) or in terrain close to ski areas (offpiste).

In the last two years, millions of lives have been lost due to COVID-19. Despite the vaccination programmes for a year, hospitalization rates and deaths are still high due to the new variants of COVID-19. Stringent guidelines and COVID-19 screening measures such as temperature check and mask check at all public places are helping reduce the spread of COVID-19. Visual inspections to ensure these screening measures can be taxing and erroneous. Automated inspection ensures an effective and accurate screening.

To perform automated screening, thermal based screening is effective as it is illumination independent and can work even under no lighting conditions. This NTIC screening dataset consists of thermal images of persons walking into public premises like offices, malls and railway stations. The ground truth consists of annotations of human faces and whether they are masks or not. Broadly, this dataset is divided into 3 sub-datasets: Thermal Surveillance Dataset: 902 thermal images with 1354 people wearing masks and 213 people without masks Augmented Surveillance Dataset: 543 images with 434 people wearing masks and 109 people without masks Lighting Dataset: 420 thermal images and their corresponding visual images.