The complete mitochondrial DNA sequences of 41 human remains from 13 hanging coffin sites 2500-660 years ago in Weixin and Yanjin, Zhaotong, Yunnan, Huacun, Baise, Guangxi and bangmapa, Thailand were analyzed by using the ancient DNA analysis technique. They found that the maternal genetic diversity of the hanging coffin people in Northwest Yunnan was very high, while the genetic diversity of the hanging coffin people in northern Thailand was relatively low. This result is consistent with the view that the hanging coffin burial custom originated in southern China and spread southward to Southeast Asia. In addition, a small number of matrilineal lineages were shared among the hanging coffin people in different regions of Asia, indicating that there is a very close relationship between different hanging coffin people. Combining the results of genetic analysis with the evidences of archaeology, physical anthropology, folklore and history, they speculated that the hanging coffin burial custom originated in the Baiyue ethnic group in the southeast coastal areas of China (such as Wuyishan area) about 3600 years ago, and they are the ancestors of the Dai ethnic group with many ethnic groups. After that, the custom of hanging coffin was widely spread in South China by means of people migration and flow. However, about 2000 years ago (the earliest time of hanging coffin burial in Thailand), a very small number of inheritors of hanging coffin burial spread the custom to some aboriginal groups in Southeast Asia, such as northern Thailand, by means of cultural diffusion. This study only makes a preliminary discussion from the perspective of maternal genetic lineage. For the hanging coffin culture which has spread for more than 3000 years in South China, Southeast Asia and the vast area of the Pacific Islands, the origin and development of its culture and the history of its inheritors may be more complex. In the future, more representative samples of human remains buried in a hanging coffin will be used, from the perspective of genomic DNA and paternal Y-DNA, combined with interdisciplinary research, which will provide more systematic evidence support for a more comprehensive display of the historical and cultural features of the hanging coffin burial custom.
QI Xuebin
It is not clear how the Tibetan people adapt to the extreme environment on the plateau. As an important phenotype, metabolism plays an important role in maintaining the normal biological function of individuals. Previous studies have shown that some small metabolic molecules can adapt to the extreme environment by regulating energy metabolism, oxidative stress and other biological processes. In view of this, the project is expected to find the relationship between human metabolism and extreme environmental adaptation by studying the unique metabolic characteristics of Tibetan people compared with plain people, and then study the plateau adaptation mechanism of Tibetan people from the perspective of metabolism. This data is the metabolomic data generated during the implementation of the project, and the current data includes the metabolomic data of 30 people in the plain. The combined analysis of these data and the subsequent metabolomic data can be used to study the metabolic characteristics of Tibetan people in the plateau hypoxia environment. This data set is the update and continuation of metabolomic data v1.0 of modern Chinese population.
LI Gonghua
The refined population spatial distribution data set of Hambantota port area is generated by reanalysis based on hrsl data of Sri Lanka. Hrsl data provides an estimate of the population distribution in 2015 at a resolution of 1 arcsec (about 30 meters). The latest census information and built-up area information based on satellite images are used in hrsl data. This data set is based on hrsl data. Firstly, the boundary of buildings is extracted from the 0.5m resolution remote sensing image by computer vision technology, and the building types (high-rise buildings, medium and low rise buildings, bungalows, etc.) are determined by combining with manual visual interpretation and field sampling. The population distribution area mask is constructed in the building area, and the 10 meter grid is used as the analysis unit to calculate the population distribution in the unit According to the proportion of different building types, the proportion of main land use types, building density, distance from road and other related indicators, the average density of building type consistent area is calculated from hrsl data, and the corresponding population density of each building is obtained by machine learning method. Then, the population data in the area is allocated to the corresponding unit by proportional allocation method, and the 10 meter resolution is obtained Population distribution products. The data is distributed in the form of GeoTIFF files. Population GeoTIFF represents population estimates (in person) and provides detailed estimates for population, infrastructure and Sustainability Studies in the humanitarian field.
The data is the population and urbanization data of the Qinghai Tibet Plateau. The data are mainly from census data, including 1990, 2000 and 2010. The main data fields include resident population, urban population and urbanization rate of resident population. Under the GIS platform, the spatial database is constructed through the connection of administrative division vector data and population data. Among them, the data quality related to population is accurate to people. The data mainly serve the research on population geography, urbanization and urban development of the Qinghai Tibet Plateau. It is worth noting that the data of resident population and urbanization rate in census years are relatively accurate. With the opening of the data of the seventh census, it will be updated one after another.
QI Wei
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.
National Bureau of Statistics
This data set records the statistical data of agricultural and animal husbandry scientific and technological talent resources in Qinghai Province, covering the period from 2011 to 2016. The data are divided by animal husbandry and veterinary, planting, fishery, agricultural machinery, land reclamation and other projects. The data set contains six data tables, which are: Statistics of scientific and technological human resources in agriculture and animal husbandry (applicable to extension institutions) (2011), statistics of scientific and technological human resources in agriculture and animal husbandry (applicable to extension institutions) (2012), statistics of scientific and technological human resources in agriculture and animal husbandry (applicable to extension institutions) (2013), statistics of scientific and technological human resources in agriculture and animal husbandry (applicable to extension institutions) (2014), Statistics of agricultural and animal husbandry scientific and technological human resources (applicable to extension institutions) (2015), statistics of agricultural and animal husbandry scientific and technological human resources (applicable to extension institutions) (2016). The data table structure is similar. For example, the statistical table of agricultural and animal husbandry scientific and technological talent resources (applicable to extension institutions) (2011) has five fields: Field 1: number of employees at the end of the year Field 2: number of scientific and technological talents Field 3: Qualification Field 4: Education Field 5: Gender
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the basic situation of rural areas in Qinghai Province, including rural households, rural population and other information. The statistical data covers the period from 2014 to 2018. The data are divided into 8 states, cities and 43 counties and districts according to Xining City, Haidong region, Haibei Prefecture, Huangnan Prefecture, Hainan prefecture, Guoluo Prefecture, Yushu prefecture and Haixi Prefecture. The data set contains five data tables, which are: basic rural situation (2014), basic rural situation (2015), basic rural situation (2016), basic rural situation (2017) and basic rural situation (2018). The structures of each data table are similar. For example, the basic rural situation (2014) data sheet has two fields: Field 1: number of rural households Field 2: rural population
AGRICULTURAL AND RURAL Department of Qinghai Province
The Tibetan Plateau has a harsh conditions for human to inhabit. When human beings went into the Tibetan Plateau and how they adapt to the extreme environment have attract broad attention. At present, extensive studies on this issue have been conducted in the northeastern Tibetan Plateau with few work in other regions. There are a lot of archaeological sites in the Yarlung Zangbo River Basin while most of them are lack of cultural layers. Systematic archaeological investigations had been done to 25 cultural layers and 3 tombs in Lhasa and Nyignchi
YANG Xiaoyan, WANG Yanren
This data is the population grid data of ten meter scale in 2019. Each grid expresses the total number of population within this range (unit: person). The source data of this data comes from Myanmar's 2019 1km population data set in the world pop data center（ https://www.worldpop.org/geodata/summary?id=40443 ）, the obtained source data are processed by projection transformation and clipping to obtain the population distribution in Yangon, and then the data are downscaled, The spatial distribution data set of refined population (10m) in Yangon deep water port area is obtained. Regular ten meter scale population grid data are obtained by spatial scale conversion and downscaling. Each grid population is calculated by random forest method according to the population of each administrative unit and multi-source auxiliary data. Population data can be used in many fields, including urban planning, elections, risk assessment, disaster relief, disease prevention and control, poverty reduction and poverty alleviation, etc;
GE Yong, LI Qiangzi, LI Yi
The population grid data of 100 meter scale in 2010, each grid expresses the total number of population within the range (unit: person). The data is from the Institute of earth data, University of Southampton, UK. The data is processed by projection transformation and clipping to get the population distribution in Yangon area. Then the data is downscaled to get the refined population spatial distribution data set in Yangon deepwater port area. This data is based on the census data of administrative units, and the regular 100 meter scale population grid data is obtained through spatial scale conversion. Each grid population is calculated by using random forest method according to the population of each administrative unit and multi-source auxiliary data. Population data can be used in many fields, including urban planning, elections, risk assessment, disaster relief, disease prevention and control, poverty alleviation and so on;
GE Yong, LI Qiangzi, LI Yi
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
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