Gross domestic product (GDP) is a monetary measure of the market value of all the final goods and services produced in a period of time, which has been used to determine the economic performance of a whole country or region. We have collected the published GDP data, then obtained the 1-km gridded datasets for GDP of 2015 in five key nodes over Bengal and Myanmar, including Dacca, Chittagong, Kyaukpyu, Rangoon and Mandalay. To solve the problem of missing data existing in the current datasets, we will apply kriging and function interpolation methods to fill gaps. We will also develop the multi-source data fusion method based on geostatistics to achieve the GDP predictions of time continuously and high spatial resolution.
The contents include five Central Asian countries, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan. The basic socio-economic indicators from 2012 to 2017 are divided into 12 categories: GDP, price, industry, agriculture, animal husbandry, construction, capital investment, transportation, foreign trade, labor market, wages, living standards and the exchange rate of the US dollar. Developments and changes. The data comes from ww. cisstat. com. The original index name is Russian, which is translated and edited. The accurate official data can provide basic data basis for the study of social and economic development in Central Asian countries.
1) The data include the main indicators of economic development of the five countries in Central Asia (Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan) from 1993 to 2010 2) The data are compiled mainly by statistical agencies and official data released by Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan, the UN Food and Agriculture Statistics Database website, the Asian Development Bank, and related websites of the data center of the National Research Network. 3) Data can support the research of economic development and can serve as the basis data support for the analysis of the economic development situation of countries in Central Asia.
The data summarizes the agricultural and socio-economic status of the five Central Asian countries ( Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan and Turkmenistan ) in 2015.The data comes from the statistical yearbooks of the five Central Asian countries ( Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan and Turkmenistan ), including the Total Population, Cultivated Land Area, Grain production area, GDP, The proportion of agricultural GDP to total GDP and The proportion of industrial GDP to total GDP and Forest Area. Detailed statistics of the six socio-economic factors of the five Central Asian countries are given. Statistics show that each of the six elements of the five Central Asian countries has its own focus. The data provides basic data for the project, facilitates analysis of the ecological and social situation in Central Asia, and provides data support for the future data analysis of the project.
The data set contains agricultural economic data of all counties and regions in the Tibetan Plateau in 1980-2015, and covering the total number of households and total population in rural areas, agricultural population, rural labor force, cultivated land, paddy field area, the dry land area, power of agricultural machinery, agricultural vehicles, mechanical ploughing area, irrigation area, consumption of chemical fertilizers electricity use, gross output value of agriculture, forestry, animal husbandry and fishery, the output of cattle, pig, sheep, meat, poultry, and fish, the sown area of grain, the output of grain, cotton, oil and all kinds of crops, and characteristic agricultural products and livestock production and other relevant data.The data came from the statistical yearbook of the provinces included in the Tibetan Plateau.The data are of good quality and can be used to analyze the socio-economic and agricultural development of qinghai-tibet plateau.
This data set contains statistical tables on the community situation of each county in Three-River-Source National Park. The specific contents include: Table 1 includes: number of administrative villages, number of natural villages, number of households, population, number of rural labor force, total value of primary and secondary industries, net income per capita, and number of livestock. Table 2 includes: the ethnic composition of the population (population of each ethnic group), education-related statistics (number of primary and secondary schools and number of students), health-related statistics (number of hospitals, health rooms and medical personnel), and statistics on the education level of the population (number of people with different education levels); Table 3 includes: the grassland (total grassland area, usable grassland area, moderately degraded area and grassland vegetation coverage), woodland (total area, arbor forest area, shrub forest area and sparse forest area), water area (total area, river area, lake area, glacier area, snowy mountain area and wetland area). A total of four counties were designed: Maduo, Qumalai, Zaduo and Zhiduo. This data comes from statistics of government departments.
The data content of the Belt and Road Food Consumption includes: The data of Food Consumption for “B&R” includes: 1. Total food consumption in regions and countries along the “B&R”, mainly including Cereals-Excluding Beer, Meat, Eggs, Milk-Excluding Butter, Fruits - Excluding Wine, Vegetables, Pulses, Starchy Roots, Oilcrops, Sugar& Sweeteners; 2.Nutrient intake in regions and countries along the “B&R”, mainly including energy, protein, fat. Source：FAO. Data application：According to the data provided，the basic characteristics analysis of food consumption, the analysis of the nutrient intake level and the analysis of food consumption pressure can be carried out in the Belt and Road region and the countries along the route, so that the dietary pattern evaluation analysis and the basic characteristics food requirement can be carried out.
Taking the ISI Web of Science database as the data source, in which TS=(tibet* or himalaya* or qomolangma or "mt everest" or qinghai or karakorum or karakoram or kunlun* or qilian* or hengduan* or muztagata or tanggula or hengduan* or tianshan Or qiangtang* or "yarlung zangbo" or qaidam or pamir* or gangdise or gangdese) as the search term, the literature of Tibetan Plateau research before October,2016, was searched and collected.
The data set includes data of land and natural resources in Qinghai from 1984 to 2012. The data were derived from the Qinghai Society and Economics Statistical Yearbook and the Qinghai Statistical Yearbook. P.S: The land use data have not been updated in the yearbook since 2008. The 2008 data have been cited; therefore. The accuracy of the data is consistent with that of the statistical yearbook. There are two tables, one for natural resources data of every year, and the other is for land use data in different regions. “The land and natural resources in Qinghai” table contains the following information: Year, land, total land area, mountain, basin, river valley, Gobi desert, hilly land; cultivated land area, irrigated land; total grassland area, usable grassland, winter and spring grassland, summer and autumn grassland; forest area, forest coverage ratio, sparse forestland, shrub land, wood stocks; annual total surface runoff, Yellow River Basin, Yangtze River Basin, hydraulic theoretical reserves, installed capacity, annual power generation; coal reserves, iron ore reserves, asbestos reserves, pool salt, magnesium salt, potassium salt, boron, gold ore, lead ore, zinc ore, antimony ore, and limestone for cement. The “Land use in different regions” table includes the following information for each prefecture from 2003 to 2012: Year, region name, total area, cultivated land, garden land, forestland, grassplot, residential land use and industrial and mining land use, land for transportation, land for water conservancy facilities, and unused land.
The data set includes the average temperature data of main areas in Qinghai Province such as Xining, Haidong, Menyuan, Huangnan, Hainan, Guoluo, Yushu and Haixi from 1998 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 table records the monthly and annual average wind speed in eight regions of Qinghai. Unit: Celsius. The data set is mainly applied in geography and socioeconomic research.