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3 results for “Yearbook”
Dataset for "Demographic yearbooks as a source of weather-related fatalities: the Czech Republic, 1919–2022"
<p><span>This deposit contains three .xlsx files.</span></p> <p><span>The file „01_fatalities_1919-2022“ contains annual numbers of fatalities (males, females and sum) for individual categories of external death causes attributed to weather and natural extremes, excerpted from demographic yearbooks for the Czech Republic for the period 1919–2022. </span></p> <p><span>The file „02_age_categories_1931-2022“ contains eight sheets with annual numbers of weather-related fatalities in the Czech Republic in the period 1931–2022 for eight age categories and for males and females separately. Sheets represent individual categories of death causes – Cold, Heat, Lightning, Natural hazards, Fall on ice or snow, Air pressure. Heat and Natural hazards are divided into two sheets – one with summarized numbers and one with numbers for individual sub-categories.</span></p> <p><span>The file „03_clima_factors“ contains mean temperature of January–February (Brázdil et al., 2012, extended) and mean annual number of days with a thunderstorm in the Czech Republic for the period 1919–2022 and mean temperature of winter season (DJF) in the Czech Republic for the period 1986/1987–2021/2022 (Brázdil et al., 2012, extended).</span></p>
Yearbook Dataset
<p>Gold standard dataset for the screening process in literature reviews on Clinical NLP</p>
China Dimensions Data Collection: China County-Level Data from Provincial Economic Yearbooks, Keyed to 1:1M GIS Map
The China County-Level Data on Provincial Economic Yearbooks, Keyed To 1:1M GIS Map consists of socioeconomic and boundary data for the administrative regions of China for 1990 and 1991. The socioeconomic data includes natural resources, population, employment, investment, wage, public finance, price, people's livelihood, agriculture, industry, energy, production, transportation, telecommunication, construction, trade, tourism, environmental protection, education, science, patents, culture, sports, health care, and social welfare. The boundary data are at a scale of one to one million (1:1M) at the county level. This data set is produced in collaboration with the University of Washington as part of the China in Time and Space (CITAS) project, University of Michigan Center of China Studies (CCS), and the Center for International Earth Science Information Network (CIESIN).
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