Topographic relief is a comprehensive representation of regional altitude and surface cutting degree. Based on the definition and calculation formula of topographic relief under the background of China's human settlements assessment, the digital elevation model (Aster GDEM 30 m) data is resampled into 1 km, The data set includes: (1) kilometer grid spatial data of Tibetan Plateau topographic relief（ 2) Terrain suitability evaluation data of Qinghai Tibet Plateau. The data can be used to analyze the spatial difference of topographic relief of the Qinghai Tibet Plateau, which is of great significance to the study of human settlements and Natural Suitability of the Qinghai Tibet Plateau.
XIAO Chiwei, LI Peng,
The natural resources dataset of the Qinghai-Tibetan Plateau covers 215 counties in this area. The observation intervals are 5 years from 2000-2015. The indicators are rainfall, temperature, humidity, population, and land area. The data sources are meteorological station data, regional statistical yearbook, etc., which are expressed by Excel. This data provides a reference for understanding the natural background conditions on the county scale in the Qinghai Tibet Plateau.
FENG Xiaoming
The natural resources dataset of the Qinghai-Tibetan Plateau covers 215 counties in this area. The observation intervals are 5 years from 2000-2015. The indicators are rainfall, temperature, humidity, population, and land area. The data sources are meteorological station data, regional statistical yearbook, etc., which are expressed by Excel. This data provides a reference for understanding the natural background conditions on the county scale in the Qinghai Tibet Plateau.
FENG Xiaoming
As the “third pole” of the world, the Qinghai-Tibet Plateau (QTP) is extremely ecologically sensitive and fragile while facing increasing human activities and overgrazing. In this study, eight types of spatial data were firstly selected, including grazing intensity, Night-Time Light, population density, Gross Domestic Product (GDP) density, the ratio of cultivated land, the slope of the Normalized Difference Vegetation Index (NDVI), distance to road, and distance to town. Then, the entropy weight method was applied to determine the weight of each factor. Finally, the five-year interval human activity intensity data in 1990, 1995, 2000, 2005, 2010 and 2015 were made in the agricultural and pastoral areas of QTP through the spatial overlap method. By preparing the historical spatial datasets of human activity intensity, our study will help to explore the influence of human disturbance on the alpine ecosystems on the QTP and provide effective support for decision-making of government aiming at regional ecosystem management and sustainable development.
LIU Shiliang, SUN Yongxiu, LIU Yixuan, LI Mingqi
The data set records the statistical data of registered unemployed persons in major years in Qinghai Province, and the data are divided by year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set includes three data tables: the number of employees at the end of the year 1952-1998.xls, the number of employees at the end of the year 1952-1999.xls, and the number of employees at the end of the year 1952-2000.xls in the main years. The data table structure is the same. For example, the data table in 2000 has eight fields: Field 1: year Field 2: Practitioners Field 3: state owned economy Field 4: collective economy Field 5: urban private economy Field 6: urban individual economy Field 7: foreign investment economy in Hong Kong, Macao and Taiwan Field 8: other economies
Qinghai Provincial Bureau of Statistics
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.
BAO Shaoyong
The data set is the population data of countries along the "One Belt And One Road" from 1960 to 2017. Population is a social entity with complex contents and a variety of social relations. It has gender, age and natural composition, as well as a variety of social composition and social relations, as well as economic composition and economic relations. The birth, death and marriage of population are in family relations, ethnic relations, economic relations, political relations and social relations. All social activities, social relations, social phenomena and social problems are related to the process of population development. In the coordinated development of "One Belt And One Road" China and other countries, it can provide important references for the planning and implementation of national policies and programs, thus accelerating the economic development of all countries.
YIN Jun
This data set records the statistical data of the number of rural family employees in Qinghai Province from 1952 to 2000, which is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of two data tables The number of rural family employees by industry 1952-1999.xls The number of rural family employees by industry 1952-2000.xls The data table structure is the same. For example, there are eight fields in the 2003 data sheet about the professional and technical personnel in different industries Field 1: Category Field 2: 1952 Field 3: 1978 Field 4: 1990 Field 5: 1995 Field 6: 1998 Field 7: 1999 Field 8: year 2000
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the number of retirees, retirees and retirees in Qinghai Province from 1998 to 2006, which are divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 10 tables The number of retired, retired and retired personnel and the composition of insurance and welfare expenses, 2000.xls Composition of insurance and welfare expenses for retired, retired and retired personnel, 1999.xls Number of retirees, retirees and retirees, 2001.xls Number of retirees, retirees and retirees 2002.xls Number of retirees, retirees and retirees, 1998.xls Number of retirees, retirees and retirees, 1999.xls Number of retirees, retirees and retirees 2000.xls Number of retirees, retirees and retirees 2004.xls Number of retirees, retirees and retirees 2006.xls Number of retirees, retirees and retirees 2003.xls The data table structure is the same. There are five fields in the data table of the number of retirees, retirees and retirees in 2001 Field 1: Department Field 2: Total Field 3: number of retired cadres by the end of this year Field 4: number of retired employees by the end of this year Field 5: number of retired employees receiving regular living expenses by the end of this year
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the basic situation of rural households in Qinghai Province. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three data tables Basic information of rural households, 1984-1998.xls, Basic information of rural households, 1984-1999.xls, Basic information of rural households 1985-2000.xls. The data table structure is similar. For example, there are four fields in the basic information of rural households from 1984 to 1998 Field 1: number of households investigated Field 2: household permanent population (person) Field 3: average population per household (person) Field 4: full and half labor force (person)
Qinghai Provincial Bureau of Statistics
The data set contains data on the birth rate, mortality rate and natural growth rate in Tibet. 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. The table contains 4 fields. Field 1: Year of the data Field 2: Birth rate, unit: ‰ Field 3: Mortality rate, unit:‰ Field 4: Natural growth rate, unit: ‰
National Bureau of Statistics
The data includes the runoff components of the main stream and four tributaries in the source area of the Yellow River. In 2014-2016, spring, summer and winter, based on the measurement of radon and tritium isotopic contents of river water samples from several permafrost regions in the source area of the Yellow River, and according to the mass conservation model and isotope balance model of river water flow, the runoff component analysis of river flow was carried out, and the proportion of groundwater supply and underground ice melt water in river runoff was preliminarily divided. The quality of the data calculated by the model is good, and the relative error is less than 20%. The data can provide help for the parameter calibration of future hydrological model and the simulation of hydrological runoff process.
QI Xuebin
Gridded population with 1km spaital resolution of the 34 key areas along One Belt One Road in 2015, which indicates that the population count per pixel (i.e., grid). This data is derived from socioeconomic data and applications center of Columbia University, USA. The prejection transform and extraction processes were done to generate the gridded population with 1km spaital resolution of the 34 key areas along One Belt One Road in 2015. The original gridded popution is spatially downscaled from census data by the area weighted method for each administrative unit. Accurate population data at grid level are fundamental for a broad range of applications by governments, nongovernmental organizations, and companies, including the urban planing, election, risk estimation, disaster rescue, disease control, and poverty reduction.
GE Yong, LING Feng
The data includes the gender, age, social security, education level, labor force and employment status of household members in 1280 families at domestic and abroad, which is used to support the analysis of human capital and livelihood Strategy in sustainable livelihoods. The field survey data is collected by the research group. Before collecting the data, the research group and the invited experts conducted a pretest to improve the questionnaire; before the formal survey, the members participating in the data collection were strictly trained; during the formal survey, each questionnaire could be filed after three times of inspection. The data is of great value to understand the human capital, livelihood strategies and demographic characteristics of farmers in the vulnerable areas of environment and economy, and is an important supplement to the national and macro data in this area.
Linxiu ZHANG, BAI Yunli
Gridded population with 100m spaital resolution of the 8 key areas along One Belt One Road in 2015, which indicates that the population count per pixel (i.e., grid). This data is derived from geodata institute of Southampton University, UK. The prejection transform and extraction processes were done to generate the gridded population with 100m spaital resolution of the 8 key areas along One Belt One Road in 2015. The original gridded popution is spatially downscaled from census data and multisource data by the random forest method. Accurate population data at finer scale are fundamental for a broad range of applications by governments, nongovernmental organizations, and companies, including the urban planing, election, risk estimation, disaster rescue, disease control, and poverty reduction.
GE Yong, LING Feng
1) Data content: this data is the chromatin open group data of umbilical cord endothelial cells of Plateau Tibetan and plain Han people generated during the implementation of the project, including 5 cases of Plateau Tibetan umbilical cord endothelial cell chromatin open group data and 5 cases of plain Han umbilical cord endothelial cell chromatin open group data. The amount of chromatin open group data of each cell is > 15g sequencing depth, which can be used to study the high-risk factors The chromatin opening pattern and gene expression regulation pattern of the original Tibetan population and the plain Han population in high altitude hypoxia environment. 2) Data sources and processing methods: Based on our own data, we used the 150 BP pair end sequencing method of Illumina x-ten. 3) Data quality: > 15g data volume, q30 > 90%. 4) Data application achievements and prospects: the data are used to verify the open mode of cell chromatin and gene expression change mode of high altitude hypoxia adaptation genes under hypoxia environment.
QI Xuebin
The data includes 30 items of data in four categories: basic information, comprehensive economy, agriculture and industry, education, health and social security in Qinghai Province and Tibet Autonomous Region. It covers the basic data reflecting human activities, such as population, employees, industrial output value, agricultural machinery power, facility agriculture, etc. of the main county administrative units of the Qinghai Tibet Plateau. The data are sorted out according to the statistical yearbook data of China's counties from 2001 to 2018. For the convenience of application, the data of Qinghai and Tibet are independently tabulated and included in the data of each year. The data can be used to analyze human activities and social and economic development in the county, as well as agricultural and rural development and change process.
One belt, one road, in 2017, the proportion of religious population in 64 countries is the total population. Data source: organized by the author. Data quality is good. The data can have one broad prospect in one belt, one road, and the other is comprehensive research on economy, society, population and governance structure. "One belt, one road" covers Asia Pacific, Eurasia, Middle East, Africa, etc., including 65 countries, with a total population of over 4 billion 400 million, accounting for 63% of the world's population. One belt, one road, one belt, one road, one belt, one road, one area, and the other two. The first one is to make contributions to the systematic research and comprehensive application of the whole area.
SONG Tao
Gridded population with 100m spaital resolution of the 34 key areas along One Belt One Road in 2010, which indicates that the population count (Unit: person) per pixel (i.e., grid). This data is derived from geodata institute of Southampton University, UK. The prejection transform and extraction processes were done to generate the gridded population with 100m spaital resolution of the 8 key areas along One Belt One Road in 2010. The original gridded popution is spatially downscaled from census data and multisource data by the random forest method. Accurate population data at finer scale are fundamental for a broad range of applications by governments, nongovernmental organizations, and companies, including the urban planing, election, risk estimation, disaster rescue, disease control, and poverty reduction.
GE Yong, LI Qiangzi, DONG Wen
The population data of Zhangye City from 2001 to 2012 include: annual population density and natural population growth rate, Data source: Statistical Bureau of Zhangye City. Statistical yearbook of Zhangye City. 2001-2012, Department of water resources of Gansu Province. Bulletin of water resources of Gansu Province. 2001-2012. Water Affairs Bureau of Zhangye City. Comprehensive annual report of water resources of Zhangye City, 1999-2011
ZHANG Dawei
The data set of socio-economic vulnerability parameters in the agricultural and pastoral areas of the Qinghai Tibet Plateau mainly contains the socio-economic vulnerability parameter data at county level. The data time range is from 2000 to 2015, involving 112 counties and districts in Qinghai Province and Tibet Autonomous Region. The main parameters include population density, the proportion of unit employees in the total population, the proportion of rural employees in the total population, the proportion of agricultural, forestry, animal husbandry and fishery employees in rural employees, per capita GDP, per capita savings balance of residents, per capita cultivated land area, per capita grain output, and people Average oil production, livestock stock per unit area, per capita meat production, the proportion of primary and secondary school students in the total population, and the number of hospital beds per 10000 people. The entropy weight method is used to calculate the weight of each index, and ArcGIS is used to spatialize, and finally the county scale socio-economic vulnerability parameter data is obtained. The original data is from the statistical yearbook of Qinghai Province and Tibet Autonomous Region. The data are expressed by shape file and excel file. This data set will provide reference for socio-economic vulnerability assessment and selection of typical agricultural and pastoral areas.
ZHAN Jinyan, TENG Yanmin, LIU Shiliang
This data set includes the urban distribution, urban population and built-up areas of the Qinghai Tibet Plateau from 2000 to 2015. The urban distribution data is the county-level vector boundary in 2015, and the urban population and built-up area data years are 2000, 2005, 2010 and 2015. Among them, the data of urban distribution and built-up areas are from the research team of Kuang Wenhui, Professor of Institute of geography and resources, Chinese Academy of Sciences, and the data of urban population are from the census data of each year, the statistical yearbook of each province in the Qinghai Tibet Plateau, etc. The data quality is excellent, which can be used to analyze the population growth trend, urban expansion and the impact of human activities on the surrounding environment of cities and towns in the Qinghai Tibet Plateau.
KUANG Wenhui
This data set records the statistical data of the proportion of rural households grouped by net income in the survey households in Qinghai Province from 1985 to 2011, which is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 12 data tables The proportion of rural households grouped by net income in the survey households in the main years 1985-2004.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2006.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2008.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2009.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2010.xls The proportion of rural households grouped by net income in the survey households in the main years 1990-2005.xls The proportion of rural households grouped by net income in the survey households in Main Years 1995-2011.xls The proportion of rural households grouped by net income in the survey households in Main Years 1995-2011.xls Proportion of households grouped by net income of farmers and herdsmen in survey households in Main Years 1985-2007.xls The proportion of rural households grouped by net income in the survey households, 1985-2001.xls The proportion of rural households grouped by net income in the survey households, 1985-2002.xls The proportion of rural households grouped by net income in the survey households 1985-2003.xls The data table structure is the same. For example, the proportion of rural households grouped by net income in the survey households has 10 fields in the data table from 1985 to 2001 Field 1: Project Field 2: 1985 Field 3: 1990 Field 4: 1995 Field 5: 1996 Field 6: 1997 Field 7: 1998 Field 8:1999 Field 9:2000 Field 10:2001
Qinghai Provincial Bureau of Statistics
The data set records the proportion of male and female data of 1960-2017 countries along 65 countries along the belt and road. Data sources: (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. The data set contains 4 tables：(1)Population, male;(2)Population, male (% of total);(3)Population, female;(4)Population, female (% of total).
XU Xinliang
The average altitude of the Tibetan Plateau is more than 4000 meters. The harsh environment such as high cold and low oxygen poses a huge challenge to human survival. However, since the late Paleolithic period, Tibetan people in the plateau have reached the Plateau, and in the Neolithic period, people began to permanently settled on the high-altitude areas on a large scale. The history of population migration in this process has become the focus of different fields. In order to analyze the genetic structure of Tibetan population from the perspective of the whole genome and trace back the history of human settlement on the plateau, we obtained the whole genome variation data of 20 Tibetan individuals. The SNP typing of 20 samples was carried out by DNA array method, and about 700000 loci (including nuclear genome, mitochondrial DNA and Y chromosome) of each sample were obtained. Based on the above data, relevant biological information analysis (mainly including chip site quality control analysis, Y chromosome and mitochondrial DNA haplotype analysis) was carried out. This data is helpful to analyze the genetic structure of Tibetan population from the perspective of nuclear genome, Y chromosome and mitochondrial DNA. By comparing with the data of people around the plateau, we can trace the migration and settlement history of the plateau population comprehensively.
KONG Qingpeng
1) Data content: this data is the placenta umbilical cord endothelial cells (HUVEC) transcriptome data of high altitude Tibetan and lowland Han population generated during the implementation of the project, including the RNA-seq data of 3 high altitude Tibetan HUVEC and 3 lowland Han placenta HUVEC. Each RNA-seq data is 6G sequencing depth, which can be used to study the effect of high altitude Tibetan population and lowland Han population for gene expression patterns at hypoxic environment. 2) Data source and processing method: own data, the pair end 150bp sequencing method using Illumina x-ten sequencing platform. 3) Data quality: 6G data depth, q30 > 90%. 4) Results and prospects of data application: the data will be used to validate the gene expression pattern of high altitude hypoxia adaptation gene to hypoxia environment at the cell level.
QI Xuebin
This dataset is the population index, which includes the dataset of Qinghai Province and Tibet Autonomous Region. It can be used for the coupling coordination relationship between urbanization and eco-environment in Qinghai-Tibet Plateau. The time span in Tibet Autonomous Region is 1995-2016. Permanent residents is based on the population census and the annual population change sampling survey. In addition to the total permanent population, the data were also calculated by gender and urban and rural areas. The time span is from 1952 to 2015 in Qinghai Province, and the indices are resident population, birth, death and natural increase. All data is from the statistical yearbook.
DU Yunyan
This dataset, based on night light data and macro statistical data, uses remote sensing inversion method（1km*1km）to obtain the poverty rate in different regions within each country. It has three advantages. a) The calculation unit can be adjusted according to the boundaries of administrative regions to reflect the poverty rate of sub-regions within the large country and scale, which is rare in statistically data. b) The survey and summary cycle limits the updating of national and sub-regional poverty rate, while the method based on night light data is more convenient. c) Due to the continuous annual data of night light, the difficulty of obtaining regional poverty rate in a long period was overcome. In view of the three outstanding advantages mentioned above, this data set can support to achieve the research subjects and provide scientific data for understanding the basic situation of poverty along the Silk Roads.
ZHANG Qian, Linxiu ZHANG
Taking 2005 as the base year, the future population scenario prediction adopted the Logistic model of population, and it not only can better describe the change pattern of population and biomass but is also widely applied in the economic field. The urbanization rate was predicted using the urbanization Logistic model. Based on the existing urbanization horizontal sequence value, the prediction model was established by acquiring the parameters in the parametric equation applying nonlinear regression. The urban population was calculated by multiplying the predicted population by the urbanization rate. The Logistic model was used to predict the future gross national product of each county (or city), and then, according to the economic development level of each county (or city) in each period (in terms of real GDP per capita),the corresponding industrial structure scenarios in each period were set, and each industry’s output value was predicted. The trend of changes in industrial structure in China and the research area lagged behind the growth of GDP, and, therefore, it was adjusted according to the need of the future industrial structure scenarios of the research area.
ZHONG Fanglei, YANG Linsheng
According to the characteristics of the Qinghai Tibet Plateau and the principles of scientificity, systematization, integrity, operability, measurability, conciseness and independence, the human activity intensity evaluation index system suitable for the Qinghai Tibet Plateau has been constructed, which mainly includes the main human activities such as agricultural and animal husbandry activities, industrial and mining development, urbanization development, tourism activities, major ecological engineering construction, pollutant discharge, etc, On the basis of remote sensing data, ground observation data, meteorological data and social statistical yearbook data, the positive and negative effects of human activities are quantitatively evaluated by AHP, and the intensity and change characteristics of human activities are comprehensively evaluated. The data can not only help to enhance the understanding of the role of human activities in the vegetation change in the sensitive areas of global change, but also provide theoretical basis for the sustainable development of social economy in the Qinghai Tibet Plateau, and provide scientific basis for protecting the ecological environment of the plateau and building a national ecological security barrier.
ZHANG Haiyan, XIN Liangjie, FAN Jiangwen, YUAN Xiu
This data set records the situation of laid-off workers in Qinghai Province, and the data is divided according to the diversion situation of laid-off workers in state-owned enterprises. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of four tables The situation of laid off workers in enterprises, 1998.xls The situation of laid off workers in enterprises, 1999.xls The situation of laid off workers in enterprises, 2000.xls The distribution of laid-off workers in state-owned enterprises in 1997. The data table structure is the same. For example, there are four fields in the data table of the distribution of laid-off workers in state-owned enterprises Field 1: Category Field 2: Industrial Enterprise Field 3: large and medium sized industrial enterprises Field 4: enterprises directly under the central government
Qinghai Provincial Bureau of Statistics
Gridded population with 100m spaital resolution of the 34 key areas along One Belt One Road in 2015, which indicates that the population count per pixel (i.e., grid). This data is derived from geodata institute of Southampton University, UK. The prejection transform and extraction processes were done to generate the gridded population with 100m spaital resolution of the 8 key areas along One Belt One Road in 2015. The original gridded popution is spatially downscaled from census data and multisource data by the random forest method. Accurate population data at finer scale are fundamental for a broad range of applications by governments, nongovernmental organizations, and companies, including the urban planing, election, risk estimation, disaster rescue, disease control, and poverty reduction.
GE Yong, LING Feng
This data set records the statistical data of per capita income and expenditure of Rural Poverty Monitoring and survey households in Qinghai Province. The data is divided according to the per capita income and expenditure of Rural Poverty Monitoring and survey households in Qinghai Province. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set mainly includes 10 data tables Per capita income and expenditure of rural poverty monitoring households, 2001-2005.xls Per capita income and expenditure of rural poverty monitoring households, 2001-2006.xls Per capita income and expenditure of rural poverty monitoring households, 2001-2007.xls Per capita income and expenditure of rural poverty monitoring households, 2001-2008.xls Per capita income and expenditure of rural poverty monitoring households, 2001-2009.xls Per capita income and expenditure of rural poverty monitoring households, 2001-2010.xls Per capita income and expenditure of rural poverty monitoring households, 2004.xls The survey of rural per capita income and expenditure in 2006-xls Per capita income and expenditure of rural poverty monitoring households, 2008-2012.xls Per capita income and expenditure of rural poverty monitoring households, 2010-2013.xls The data table structure is similar. For example, there are eight fields in the data table of per capita income and expenditure of Rural Poverty Monitoring Survey households from 2001 to 2006 Field 1: number of villages investigated Field 2: number of households investigated Field 3: number of respondents (person) Field 4: full and half labor force (person) Field 5: total annual revenue Field 6: annual total expenditure Field 7: depreciation of productive fixed assets Field 8: annual net income
Qinghai Provincial Bureau of Statistics
The data set records the changes of employees in all units of Qinghai Province, and the data is divided according to the changes of employees in all units. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three data tables Changes in employees of all units 1998.xls, Changes in employees of all units, 1999.xls, Changes of employees in all units in 2000.xls. The data table structure is the same. For example, there are five fields in the 1998 data sheet on the change of employees in all units Field 1: Category Field 2: Total Field 3: recruitment from rural areas Field 4: recruit from town Field 5: Veterans employed
Qinghai Provincial Bureau of Statistics
The data set records the number of employees of other units in Qinghai Province by industry and region at the end of the year, and the data is divided by the number of employees of other units by industry and region at the end of the year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 8 data tables Number of employees in other units by industry at the end of the year 1995-2001.xls Number of employees in other units by industry at the end of the year 1995-2002.xls Number of employees of other units by industry at the end of 2003.xls Number of employees of other units by industry at the end of 2004.xls Number of employees of other units by industry at the end of 2005.xls Number of employees in other units by industry and region at the end of 2006.xls Number of employees in other units by industry and region at the end of 2007.xls The number of employees of other units by industry and region at the end of 2008.xls. The data table structure is similar. For example, there are 10 fields in the 2005 data table of the number of employees of other units by industry and region at the end of the year Field 1: Project Field 2: province total Field 3: Xining City Field 4: Haidong region Field 5: Haibei Prefecture Field 6: huangnanzhou Field 7: Hainan Field 8: Golog Field 9: Yushu prefecture Field 10: Haixi
Qinghai Provincial Bureau of Statistics
The data set records the urbanization rate data of each state of Tajikistan from 2000 to 2016.The data is from kazakhstan's national statistics bureau. Urbanization is a concept with broad implications.In a narrow sense, it generally refers to the urbanization of population, which refers to the increase of the number of cities and the expansion of the urban scale, and the process of population aggregation to cities in a certain period.Urbanization rate refers to the proportion of permanent urban residents in a region in the total permanent resident population.The name of the original index is Russian, which has been translated and edited.The accuracy of the official data can provide basic data basis for the study of the socio-economic development of central Asian countries.
HUANG Jinchuan, MA Haitao
This data records the statistical data of female employees in different types of registration and sub industries in Qinghai Province from 2001 to 2008. The data are divided by project, total, state-owned units, urban collective units and other units. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains eight data tables with the same structure. For example, the data table in 2008 has six fields: Field 1: Project Field 2: item Field 3: Total Field 4: state owned Units Field 5: urban collective units Field 6: other units
Qinghai Provincial Bureau of Statistics
By applying Supply-demand Balance Analysis, the water resource supply and demand of the whole river basin and each county or district were calculated, based on which the vulnerability of the water resources system of the basin was evaluated. The IPAT equation was used to set a future water resource demand scenario, setting variables such as future population growth rate, economic growth rate, and unit GDP water consumption to establish the scenario. 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 forecast. By applying the basic structure of the HBV conceptual hydrological model of the Swedish Hydrometeorological Institute, a model of the variation tendency of the basin under climate change was designed. The glacial melting scenario was used as the model input to construct the runoff scenario under climate change. According to the national regulations of the water resources allocation of the basin, a water distribution plan was set up to calculate the water supply comprehensively. Considering of the supply and demand situation, the water resource system vulnerability was evaluated by the water shortage rate. By calculating the (grain production) land pressure index of the major counties and cities in the basin, the balance of supply and demand of land resources under the climate change, glacial melt and population growth scenarios was analyzed, 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 for the future, and the vulnerability of ecosystems from the perspective of supply and demand balance was assessed.
YANG Linsheng, ZHONG Fanglei
Taking 2005 as the base year, the future population scenario was predicted by adopting the logistic model of population. This model not only effectively describes the pattern of changes in population and biomass but is also widely applied in the field of economics. The urbanization rate was predicted using the urbanization logistic model. Based on the observed horizontal pattern of urbanization, a predictive model was established by determining the parameters in the parametric equation by applying nonlinear regression. The urban population was calculated by multiplying the predicted population by the urbanization rate. The data represent the non-agricultural population. The logistic model was used to predict the future gross domestic product of each county (or city), and then the economic development level of each county (or city) in each period (in terms of GDP per capita). The corresponding industrial structure scenarios in each period were set, and the output value of each industry was predicted. The trend of industrial structure changes in China and the research area lagged behind the growth in GDP, so the changes were adjusted according to the need for future industrial structure scenarios in the research area.
YANG Linsheng, ZHONG Fanglei
The dataset records 1960-2017 years of rural population statistics in 65 along the Belt and Road.Data sources: (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. The data set contains 3 tables: (1))Rural population;(2)Rural population (% of total population;(3)Rural population growth (annual %).
XU Xinliang
The data set contains three tables: demographic data for Tibet, demographic data for each county in Tibet, and data on rural workers. These time series data include the year-end total population, the number of men, the number of women, urban population, rural population, and statistics on workers in various rural industries in Tibet from 1967 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 demographic data for Tibet contains 10 fields. Field 1: Year Field 2: Year-end total population, unit: 10,000 Field 3: Total number of men, unit: 10,000 Field 4: Male proportion, unit: % Field 5: Total number of women, unit: 10,000 Field 6: Female proportion, unit: % Field 7: Urban population, unit: 10,000 Field 8: Urban population proportion, unit: % Field 9: Rural population, unit 10,000 Field 10: Rural population proportion, unit: %. Table 2: The table of demographic data for each county contains 7 fields. Field 1: Districts and counties Field 2: Year Field 3: Year-end total number of households Field 4: Number of rural households Field 5: Year-end total population, unit: 10,000 Field 6: Rural population, unit: 10,000 Field 7: Year-end number of workers, unit: 10,000 Table 3: The table of rural workers contains 7 fields Field 1: Year Field 2: Districts and counties Field 3: Number of rural workers Field 4: Number of workers in the agricultural, forestry, animal husbandry and fishery sectors Field 5: Number of workers in the industrial sector Field 6: Number of workers in the construction sector Field 7: Number of other non-agricultural workers
Tibet Autonomous Region Provincial Bureau of Statistics
This data set contains demographic structure and quantity statistics of Qinghai from 1952 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 rural grassroots organizations contains 10 fields. Field 1: Year of the data Field 2: Number of townships and towns Field 3: Number of townships Field 4: Number of towns Field 5: Number of villagers’ committees Field 6: Number of households in rural areas, unit: 10,000 Field 7: Population of rural areas, unit: 10,000 Field 8: Number of workers in rural areas, unit: 10,000 Field 9: Number of male workers, unit: 10,000 Field 10: Number of female workers, unit: 10,000 Table 2: The table of demographic statistics in Qinghai contains 8 fields. Field 1: Year of the data Field 2: Total population Field 3: Male population, unit: 10,000 Field 4: Female population, unit: 10,000 Field 5: Urban population, unit: 10,000 Field 6: Rural population, unit: 10,000 Field 7: Agricultural population, unit: 10,000 Field 8: Non-agricultural population, unit: 10,000 Table 3: The table describing the structure of rural workers contains 9 fields. Field 1: Year of the data Field 2: Number of workers in agricultural, forestry, animal husbandry and fishery sectors, unit: 10,000 Field 3: Number of workers in industry, unit: 10,000 Field 4: Number of workers in the construction sector, unit: 10,000 Field 5: Number of workers in the transportation, storage industry and post trade sectors, unit: 10,000 Field 6: Number of workers in the information industry, unit: 10,000 Field 7: Number of workers in commerce, unit: 10,000 Field 8: Number of workers in the accommodation and catering industry, unit: 10,000 Field 9: Number of workers in other industries Table 4: The table of demographic statistics for each county contains 9 fields. Field 1: Districts and counties Field 2: Year Field 3: Year-end total household number Field 4: Rural household number Field 5: Year-end total population Field 6: Rural total population Field 7: Year-end workers Field 8: Rural workers Field 9: Agriculture, forestry, animal husbandry and fishery
Qinghai Provincial Bureau of Statistics
The data set records the main data of the sixth national census of Qinghai Province in 2010. The data are divided by province (city, district), permanent population, quantity, gender and proportion. The data set contains 20 data tables, which are: the main data of the sixth national census in 2010.xls, the permanent population aged 6 and above by region, gender and education level in the sixth census in 2011.xls, the permanent population aged 6 and above by age, gender and education level in the sixth census in 2011.xls, and the permanent population aged 6 and above by region, age and gender in the sixth census in 2011.xls In the sixth census, the population aged 15 and above was illiterate in 2011.xls; in the sixth census, the population aged 15 and above was illiterate in 2011.xls; in the sixth census, the population aged 15 and above was illiterate in 2010.xls; in the sixth census, the population aged 15 and above and the sex ratio were illiterate in 2010.xls; in the sixth census, the population aged 15 and above was illiterate in 2010.xls Population with education level 2010.xls, the number and size of households by region and collective households in the sixth population census 2010.xls, the size of households by Region in the sixth population census 2011.xls, the category of households by Region in the sixth population census 2011.xls, the number of rooms and area of households by Region in the sixth population census 2011.xls, and the ethnic composition by Region in the sixth population census 2010.xls The main data of the sixth population census in Qinghai Province are as follows: the age composition of the sixth population census by Region 2010.xls, the population density of the sixth population census by Region 2010.xls, the age composition and dependency ratio of the sixth population census by Region 2011.xls, the age and gender permanent population of the sixth population census 2011.xls, the urbanization rate of the sixth population census by Region 2010.xls Report.docx. The data table structure is different. For example, the data table in 2010 has nine fields: Field 1: Province (city, district) Field 2: Region Field 3: resident population Field 4: quantity Field 5: Rank Field 6: Male Field 7: specific gravity Field 8: Female Field 9: sex ratio
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the total income, total expenditure and net income per capita of the rural poverty monitoring households in Qinghai Province. The data are divided by the total income, total expenditure and net income per capita of the rural poverty monitoring households. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of two data tables Total income, total expenditure and net income per capita of rural poverty monitoring households, 1997-1999.xls, Total income per capita, total expenditure and net income of rural poverty monitoring households, 1999-2000.xls. The data table structure is similar. For example, there are eight fields in the data table of per capita total income, total expenditure and net income of Rural Poverty Monitoring Survey households from 1997 to 1999 Field 1: number of villages investigated Field 2: number of households investigated Field 3: number of respondents (person) Field 4: full and half labor force (person) Field 5: total annual revenue Field 6: annual total expenditure Field 7: depreciation of productive fixed assets Field 8: annual net income
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of registered unemployed persons in cities and towns of Qinghai Province from 1980 to 2003, which are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains seven tables, which are: changes of urban registered unemployed persons from 1980 to 2001.xls, changes of urban registered unemployed persons from 1980 to 2002.xls, changes of urban registered unemployed persons from 1980 to 2003.xls, changes of urban registered unemployed persons from 1990 to 1998.xls, etc. The data table structure is the same. For example, there are four fields in the data table from 1980 to 2003 Field 1: year Field 2: number of unemployed Field 3: total number of people Field 4: Proportion
Qinghai Provincial Bureau of Statistics
The data set is mainly included the population, arable land and animal husbandry data of Qinghai Province and Tibet Autonomous Region in the past 100 years. The data mainly comes from historical documents and modern statistics. The data quality is more reliable. It mainly provides arguments for the majority of researchers in the development of agriculture and animal husbandry on the Qinghai-Tibet Plateau.
LIU Fenggui
The data set includes: population and GDP data of the arctic (1990-2015) and county-level population and GDP data of the third pole region (gansu, qinghai and Tibet) (1970-2016). Socio-economic statistical attributes include: population (ten thousand), GDP (ten thousand yuan), total industrial and agricultural output (ten thousand yuan), total agricultural output (ten thousand yuan), and total industrial output (ten thousand yuan). The arctic population data are mainly derived from the world populationProspects: 2017 revision by the Department of economic and social affairs, which divides the total population by region and country. The data of the third pole mainly refer to the statistical yearbook of gansu province, qinghai province and Tibet autonomous region.County records of gansu, qinghai and Tibet autonomous regions.
Department of Economic and Social Affairs, National Bureau of Statistics, Qinghai Provincial Bureau of Statistics
The whole mitochondrial genomes of 68 Tibetan samples were sequenced by high-throughput second-generation sequencing. The average depth of sequencing was 1000 ×, ensuring that the mitochondrial genome of each sample was completely covered (100%). Based on the phylogenetic analysis, we control the quality of these data to ensure that there is no sample pollution and other quality problems. According to the phylogenetic tree, each individual was allocated into haplogroups. The results showed that in Lhasa Tibetan population, M9a1c1b1a was the highest (19.12%), followed by G2 (13.23%), M13a (11.76%), C4a (7.35%), D4 (7.35%), A11a1a (5.88%), M9a1b (5.88%), and F1c, F1g, B4, F1d, M62b, F1a, F1b, G1, M11, M8a, U7a, Z3a. These haplogroups have different originations, including Paleolithic components (M13a, M62b, M9a1b, etc.), northern China millet farmers’ components (M9a1c1b1a and A11a1a), components distributed mainly in southern East Asia (F1a, etc.), northern East Asian haplogroups (C4a, D4, etc.). It is worth noting that the maternal component of Lhasa Tibetans is mainly composed of millet agricultural population in northern China, indicating the important impact of genetic input of millet agricultural population in northern China on the genetic structure of the population in this area. Taken together, the maternal genetic structure of Lhasa Tibetan population exhibits time stratification, which may represent the genetic imprint of different population entering the region in different periods.
KONG Qingpeng
The data set records the statistical data of population change in different regions of Qinghai Province from 1998 to 2010, which is divided by region, total number of households, total population, birth population and death population. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 10 data tables with different structures. For example, the data table in 1999 has five fields: Field 1: Region Field 2: total number of households Field 3: total population Field 4: birth population Field 5: death population
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of employees and labor remuneration of urban units in Qinghai Province from 2006 to 2008, which are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains three data tables: Urban unit employment and labor remuneration (2006). XLS, urban unit employment and labor remuneration (2007). XLS, urban unit employment and labor remuneration (2008). XLS. The data table structure is the same. For example, the data table in 2008 has four fields: Field 1: year Field 2: number of units Field 3: number of people Field 4: other
Qinghai Provincial Bureau of Statistics
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