Planting area of main crops in Qinghai (1978-2016)

This data set contains time series data on the total planting area, planting area of various grain crops and cash crops, and planting area of vegetables from 1978 to 2016. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of total crop planting area contains 9 fields. Field 1: Year of the data Field 2: The total planting area of crops, unit: 1000 hectares Field 3: Planting area of grain crops, unit: 1000 hectares Field 4: Planting area of wheat, unit: 1000 hectares Field 5: Planting area of coarse crops, unit: 1000 hectares Field 6: Planting area of tuber crops, unit: 1000 hectares Field 7: Planting area of cash crops, unit: 1000 hectares Field 8: Planting area of oil crops, unit: 1000 hectares Field 9: Planting area of vegetables, unit: 1000 hectares Table 2: The table of the planting area in each county contains 4 fields. Field 1: Districts and counties Field 2: Year of the data Field 3: Total planting area of crops, unit: hectare Field 4: Planting area of grain crops, unit: hectare

0 2019-09-12

The statistic data of highways, bridges and ferries in Tibet Autonomous Region (1954-2016)

The data set recorded the sequence data of highway traffic mileage, all-weather traffic mileage, highway maintenance, number of bridges, bridge length and ferries from 1954 to 2016 in Tibet. The data were derived from the Tibet Society and Economics Statistical Yearbook and the Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. The table contains 7 fields. Field 1: Year Interpretation: Year of the data Field 2: Highway traffic mileage Interpretation: Highway traffic mileage Unit: kilometer Field 3: All-weather traffic mileage Unit: kilometer Field 4: Highway maintenance Interpretation: Highway maintenance mileage Unit: kilometer Field 5: Number of bridges Interpretation: Total number of bridges Field 6: Bridge length Interpretation: Total length of the bridges Unit: meter Field 7: Ferries Interpretation: Number of ferries

0 2019-09-12

The data of total investment in fixed assets in Qinghai Province (1980-2016)

The data set recorded the total investment in fixed assets in Qinghai from 1980 to 2016. The data were derived from the Qinghai Society and Economics Statistical Yearbook and the Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. The table contains 11 fields. Field 1: Year Interpretation: Year of the data Field 2: Total Interpretation: Total investment in fixed assets Unit: 100,000,000 yuan Field 3: State-owned economy Interpretation: State-owned economic investment in fixed assets Unit: 100,000,000 yuan Field 4: Collective Economy Interpretation: Collective economic investment in fixed assets Unit: 100,000,000 yuan Field 5: Individual Economy Interpretation: Individual economic investment in fixed assets Unit: 100,000,000 yuan Field 6: Other types of economy Interpretation: Other economic investment in fixed assets Unit: 100,000,000 yuan Field 7: Total Growth Interpretation: Total growth of investment in fixed assets Unit: % Field 8: State-owned growth Interpretation: Growth of state-owned economic investment in fixed assets Unit: % Field 9: Collective growth Interpretation: Growth of collective economic investment in fixed assets Unit: % Field 10: Individual Growth Interpretation: Growth of individual economic investment in fixed assets Unit: % Field 11: Other growth Interpretation: Growth of other economic investment in fixed assets Unit: %

0 2019-09-12

Administrative divisions of counties in Qinghai province (1992-2016)

The data set contains the Chinese name, English name and the affiliation between the districts and counties in each administrative division of Qinghai. The data were derived from the Qinghai Society and Economics Statistical Yearbook and the Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. Table 1: The table of administrative divisions in Qinghai has 5 fields. Field 1: Regions Interpretation: Chinese names of the regions Field 2: English names of the regions Interpretation: English names of the regions Field 3: Districts and counties Interpretation: Chinese names of the districts and counties Field 4: English names of the districts and counties Interpretation: English names of the districts and counties Field 5: Land area Unit: square kilometers Table 2: The table of division changes of each county has 5 fields. Field 1: Districts and counties Field 2: Year Field 3: Area Unit: square kilometers Field 4: Number of townships Field 5: Number of Village Committees

0 2019-09-12

Production of livestock in Qinghai province(1978-2016)

The data set recorded the sequence data of penned livestock number, full-grown livestock number, and outputs of meat, eggs, milk, wool and woolen products from 1978 to 2016.The data were derived from the Qinghai Society and Economics Statistical Yearbook and the Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. The data set contains three tables: livestock feeding status, main livestock products output, and number of full-grown livestock. Table 1: The table of livestock feeding status contains 7 fields. Field 1: Year Interpretation: Year of the data Field 2: Year-end penned large livestock Interpretation: Number of year-end penned large livestock Unit: 10,000 Field 3: Cattle Interpretation: Number of year-end penned cattle Unit: 10,000 Field 4: Horse Interpretation: Number of year-end penned horses Unit: 10,000 Field 5: Goat Interpretation: Number of year-end penned goats Unit: 10,000 Field 6: Sheep Interpretation: Number of year-end penned sheep Unit: 10,000 Field 7: Pig Interpretation: Number of year-end penned pigs Unit: 10,000 Table 2: The table of full-grown livestock number contains 5 fields. Field 1: Year Interpretation: Year of the data Field 2: Number of full-grown large livestock Unit: 10,000 Field 3: Number of full-grown goats Unit: 10,000 Field 4: Number of full-grown pigs Unit: 10,000 Field 5: Number of full-grown poultry Unit: 10,000 Table 3: The table of main livestock products output contains 14 fields. Field 1: Year Interpretation: Year of the data Field 2: Total output of meat Interpretation: Total output of meat Unit: ton Field 3: Pork Interpretation: Pork output Unit: ton Field 4: Beef Interpretation: Beef output Unit: ton Field 5: Mutton Interpretation: Mutton output Unit: ton Field 6: Other kinds of meat Interpretation: Output of other kinds of meat Unit: ton Field 7: Milk Interpretation: Output of milk Unit: ton Field 8: Cow milk Interpretation: Output of cow milk Unit: ton Field 9: Wool Interpretation: Output of wool Unit: ton Field 10: Sheep wool Interpretation: Output of sheep wool Unit: ton Field 11: Cashmere Interpretation: Output of cashmere Unit: ton Field 12: Cattle hair and villus Interpretation: Output of cattle hair and villus Unit: ton Field 13: Honey Interpretation: Output of honey Unit: ton Field 14: Poultry eggs Interpretation: Output of poultry eggs Unit: ton

0 2019-09-12

The statistics of social welfare and medical care in Qinghai (1992-2016)

This data set contains statistics on the social welfare and medical care in Qinghai over time. The data set includes the number of beds in hospitals, the number of social welfare institutions, and the number of beds in social welfare institutions. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. The table contains 6 fields. Field 1: Districts and counties Field 2: Year Field 3: Number of beds in hospitals per 10,000 people Field 4: Number of beds in hospitals Field 5: Number of social welfare institutions Field 6: Number of beds in social welfare institutions

0 2019-09-12

The statistics of natural disasters in Qinghai (1950-2000)

This data set contains information on natural disasters in Qinghai over nearly 50 years, including the times, places and the consequences of natural disasters such as droughts, floods, hail, continuous rain, snow disasters, cold waves and strong temperature drops, low temperature freezing injuries, gales and sandstorms, pest plagues, rats, and geological disasters. Qinghai Province is located in the northeastern part of the Tibetan Plateau and has a total area of 720,000 square kilometers. Numerous rivers, glaciers and lakes lie in the province. Because two mother rivers of the Chinese nation, the Yangtze River and the Yellow River, and the famous international river—the Lancang River—originated here, it is known as the "Chinese Water Tower"; there are 335,000 square meters of available grasslands in the province, and the natural pasture area ranks fourth in the country after those of Inner Mongolia, Tibet and Xinjiang. There are various types of grasslands, abundant grassland resources, and 113 families, 564 genera and 2100 species of vascular plants, which grow and develop under the unique climatic condition of the Tibetan Plateau and strongly represent the characteristics of the plateau ecological environment. As the main part of the Tibetan Plateau, Qinghai Province is one of the centers of the formation and evolution of biological species in China. It is also a sensitive area and fragile zone for the study of climate and ecological environment in the international field of sciences and technology. The terrain and land-forms in Qinghai are complex, with interlaced mountains, valleys and basins, widely distributed snow and glaciers, the Gobi and other deserts and grassland. Complex terrain conditions, high altitudes and harsh climatic conditions make Qinghai a province with frequent meteorological disasters. The main meteorological disasters include droughts, floods, hail, continuous rain, snow disasters, cold waves and strong temperature drops, low temperature freezing injuries, gales and sandstorms. The data are extracted from the Qinghai Volume of Chinese Meteorological Disaster Dictionary, with manual entry, summarizing and proofreading.

0 2019-09-12

The products and yields of crops in Qinghai (1978-2016)

The data set records the sequence data of main crops, grain, oil, fruit, meat and eggs, and main industrial products, such as aluminium, crude oil, steel, cement and power generation in Qinghai Province from 1978 to 2016. Data are collected from the statistical yearbook: Qinghai Social and Economic Statistics Yearbook and Qinghai Statistical Yearbook, with the same accuracy as the statistical yearbook extracted from the data. The data set contains three tables: crop yield per county, per capita output of major agricultural products, and output of major agricultural products. Data Table 1: There are 17 fields in the data table of per capita output of major agricultural products Field 1: Year Interpretation: Year of Data Field 2: Food Interpretation: Per capita output of grain products is kilograms Field 3: Oil Interpretation: Per capita output of oil products is kg Field 4: Fruit Interpretation: Per capita output of fruit products is kg Field 5: Milk Interpretation: Milk product per capita output kg Field 6: Meat Interpretation: Meat product per capita output kg Field 7: Interpretation of beef and mutton: The per capita output of beef and mutton products is kg. Field 8: Wool Interpretation: Per capita output of wool products in kilograms Field 9: Aquatic product Interpretation: Aquatic product per capita output kg Field 10: Interpretation of raw salt: Per capita output of raw salt products is kilograms Field 11: Machine paper and cardboard explanation: Machine paper and cardboard products per capital output kilogram Field 12: Raw coal Interpretation: per capita output of raw coal products kilograms Field 13: Aluminum Interpretation: Per capita output of aluminium products in kilograms Field 14: Crude Oil Interpretation: Per capita output of crude oil products in kilograms Field 15: Generation Interpretation: Per capita Generation in kilowatt hours Field 16: Steel Interpretation: Per capita steel output per kilogram Field 17: Cement Interpretation: Per capita output of cement products is kg Data Table 2: Major Agricultural Products Output Data Table has 13 fields Field 1: Year Interpretation: Year of Data Field 2: 10,000 tons of grain Field 3: Ten thousand tons of Wheat Field 4: 10,000 tons of miscellaneous grain Field 5: Ten thousand tons of potatoes Field 6: 10,000 tons of oil Field 7: Ten thousand tons of rapeseed Field 8: 10,000 tons of vegetables Field 9: Fruit tonnes Field 10: Apple tons Field 11: Pear tonnes Field 12: Grape tonnes Field 13: Aquatic product output ton Data Table 3: There are 6 fields in the crop yield data table of each county. Field 1: District Field 2: Year Field 3: Total grain output ton Field 4: Cotton output ton Field 5: Oil output ton Field 6: Total Meat Production Tons

0 2019-09-12

Vulnerability forecast scenarios dataset of water resources, agriculture, ecosystem of Aksu River Basin (Version 1.0) (2010-2050)

By applying supply-demand balance analysis, the water resource supply and demand of the whole river basin and each county or district were calculated, and the results were used to assess the vulnerability of the water resources system in the basin. The IPAT equation was used to establish a future water resource demand scenario, which involved setting various variables, such as the future population growth rate, economic growth rate, and water consumption per unit GDP. By taking 2005 as the base year and using assorted forecasting data of population size and economic scale, the future water demand scenarios of various counties and cities from 2010 to 2050 were predicted. By applying the basic structure of the HBV conceptual hydrological model of the Swedish Hydro-meteorological Institute, a model of the variation trends of the basin under a changing climate was designed. The glacial melting scenario was used as the model input to construct the runoff scenario in response to climate change. According to the national regulations of the water resource allocation in the basin, a water distribution plan was set up to calculate the water supply comprehensively. Considering the supply and demand situation, the water resource system vulnerability was evaluated by the water shortage rate. By calculating the grain production-related land pressure index of the major counties and cities in the basin, the balance of supply and demand of land resources in scenarios of climate change, glacial melting and population growth was analysed, and the vulnerability of the agricultural system was evaluated. The Miami formula and HANPP model were used to calculate the human appropriation of net primary biomass and primary biomass in the major counties and cities in the future, and the vulnerability of ecosystems from the perspective of supply and demand balance was assessed.

0 2019-09-12

The industries and output values of the Tibetan Autonomous Region (1951-2016)

The data set contains sequence data on regional GDP, primary industry, secondary industry, industry, construction business, tertiary industry and per capita regional GDP in Tibet from 1951 to 2016. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of regional GDP contains 8 fields. Field 1: Year Field 2: Regional GDP, unit: 100 million yuan Field 3: Primary industry, unit: 100 million yuan Field 4: Secondary industry, unit: 100 million yuan Field 5: Industry, unit: 100 million yuan Field 6: Construction business, unit: 100 million yuan Field 7: Tertiary industry, unit: 100 million yuan Field 8: Per capita regional GDP, unit: Yuan Table 2: The table of GDP statistics for districts and counties contains 5 fields. Field 1: Districts and counties Field 2: Year Field 3: Regional GDP, unit: 10,000 yuan Field 4: Value added of primary industry, unit: 10,000 yuan Field 5: Value added of secondary industry, unit: 10,000 yuan

0 2019-09-12