This dataset is about countries per year in Ukraine. It has 64 rows. It features 3 columns: country, and death rate.

Ukraine UA: Death Rate: Crude: per 1000 People data was reported at 14.700 Ratio in 2016. This records a decrease from the previous number of 14.900 Ratio for 2015. Ukraine UA: Death Rate: Crude: per 1000 People data is updated yearly, averaging 11.768 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 16.600 Ratio in 2005 and a record low of 8.068 Ratio in 1964. Ukraine UA: Death Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ukraine – Table UA.World Bank.WDI: Population and Urbanization Statistics. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Ukraine recorded 108671 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Ukraine reported 5019125 Coronavirus Cases. This dataset includes a chart with historical data for Ukraine Coronavirus Deaths.

This dataset is about politicians in Ukraine. It has 468 rows. It features 5 columns: death date, country, gender, and political party.

This dataset is about artists in Ukraine. It has 31 rows. It features 5 columns: birth date, death date, country, and gender.

On May 2, 2014 in Odessa (Ukraine), six people died in riots between Russia-oriented supporters of Ukrainian federation and West-oriented supporters of Ukrainian unity. Some of the participants entered the House of the Trade Unions that later caught fire. Dozens of people died. There are numerous speculations about who set up the fire and why police and firefighters intervened with a delay of about 40 minutes. The events in Odessa have been used by media in different languages to picture Ukrainian people and authorities as nationalists and fascists. The narratives about this event have a strong relation to the geo-political developments in that region, in the decade following it. We collected a dataset of 68 online articles in four languages spoken by authors of this paper at native and near-native level (Russian, English, Polish and German) distributed over eight years (2014-2022). Russian-language sources include publications from Russian, Belorussian and Ukrainian venues.

The dataset is useful for research on political bias, political manipulation, propaganda and text summarisation.

This dataset is about politicians. It has 61 rows and is filtered where the political party is Pozafraktsiini (Ukraine). It features 5 columns: birth date, death date, country, and political party.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.

This dataset is about book subjects. It has 2 rows and is filtered where the books is A small, stubborn town : life, death and defiance in Ukraine. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Dataset - Pianists-Russia-Biography in the news