The oil security resilience of the countries along the “Belt and Road” reflects the level of the oil security resilience of the countries along the route. The higher the data value, the stronger the oil security resilience of the countries along the route. The preparation of the oil security resilience data product refers to the energy statistics of various countries of the International Energy Agency, and uses the year-on-year data of the difference between oil supply and consumption in the countries along the “Belt and Road” from 2000 to 2019. Adaptability analysis, through comprehensive diagnosis, produced oil support resilience products. The data set of oil security resilience of countries along the “Belt and Road” is of great reference significance for analyzing and comparing the current state of oil security resilience of countries.
XU Xinliang
The energy supply resilience of the countries along the “Belt and Road” reflects the energy supply resilience level of the countries along the route. The higher the data value, the stronger the energy supply resilience of the countries along the route. The preparation of energy supply resilience data products refers to the energy statistics of various countries of the International Energy Agency, and uses the annual data of coal, oil and natural gas supply in the countries along the “Belt and Road” from 2000 to 2019. Through comprehensive diagnostics, resilience and adaptability analysis, the preparation generates energy supply resilience products. The data set of energy supply resilience of countries along the “Belt and Road” is of great reference significance for analyzing and comparing the current state of energy supply resilience of countries.
XU Xinliang
The coal security resilience of countries along the “Belt and Road” reflects the level of coal security resilience of countries along the route. The higher the data value, the stronger the coal security resilience of countries along the route. The preparation of the coal guarantee resilience data product refers to the national energy statistics of the International Energy Agency, and uses the year-on-year data of the difference between coal supply and consumption in the countries along the “Belt and Road” from 2000 to 2019. Adaptability analysis, through comprehensive diagnosis, prepared and generated coal guarantee resilience products. The data set of coal security resilience of countries along the “Belt and Road” is of great reference significance for analyzing and comparing the current coal security resilience status of various countries.
XU Xinliang
The energy supply resilience of the countries along the Belt and Road reflects the level of energy supply resilience of the countries along the Belt and Road, and the higher the value of the data, the stronger the energy supply resilience of the countries along the Belt and Road. "The energy supply resilience data for countries along the "Belt and Road" are prepared with reference to the International Energy Agency (IEA) national energy statistics (https://www.iea.org/data-and-statistics), using the 2000-2019 The energy supply resilience product was prepared based on sensitivity and adaptability analysis, using year-by-year data on coal, oil and natural gas supply in countries along the "Belt and Road", and taking into account the year-by-year changes of each energy source.
XU Xinliang
This data set records the statistical data on the total amount and composition of terminal energy charges by industry in Qinghai Province from 1997 to 2020. The data are divided by agriculture, forestry, animal husbandry and fishery, industry, construction, transportation, storage and transportation, postal industry, wholesale and retail industry, accommodation, catering industry, other industries and the life of urban and rural residents. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics The set contains 17 data tables with the same structure. For example, the data table for 2010 has five fields: Field 1: Industry Field 2: total energy consumption Field 3: raw coal consumption Field 4: gasoline consumption Field 5: electricity consumption
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of raw coal consumption and composition by industry in Qinghai Province from 1997 to 2000. 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 tables, which are: raw coal consumption and composition by industry 1997-1998.xls, raw coal consumption and composition by industry 1998-1999.xls, raw coal consumption and composition by industry 1999-2000.xls. The data table structure is the same. For example, there are five fields in the data table from 1999 to 2000 Field 1: Classification Field 2: consumption (2000) Field 3: composition (2000) Field 4: consumption (1999) Field 5: composition (1999)
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of gasoline consumption and composition of different industries in Qinghai Province from 1997 to 2000. The data is divided by consumption and composition. 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 tables, which are: gasoline consumption by industry and its composition in 1997-1998.xls, gasoline consumption by industry and its composition in 1998-1999.xls, and gasoline consumption by industry and its composition in 1999-2000.xls. The data table structure is the same. For example, there are five fields in the data table from 1999 to 2000 Field 1: Classification Field 2: consumption (2000) Field 3: composition (2000) Field 4: consumption (1999) Field 5: composition (1999)
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of total energy consumption of different industries and main energy varieties in Qinghai Province from 2001 to 2006. The data is divided by industry, total energy consumption, raw coal consumption, gasoline consumption and electricity consumption. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains six data tables with the same structure. For example, the data table in 2006 has five fields: Field 1: Industry Field 2: total energy consumption Field 3: raw coal consumption Field 4: gasoline consumption Field 5: electricity consumption
Qinghai Provincial Bureau of Statistics
By archaeological investigation and excavation in Tibetan Plateau and Hexi corridor, we discovered more than 40 Neolithic and Bronze Age sites, including Zongri, Sanjiaocheng, Huoshiliang, Ganggangwa, Yigediwonan, Shaguoliang, Guandi, Maolinshan, Dongjicuona, Nuomuhong, Qugong, Liding and so on. In this dataset, there are some basic informations about these sites, such as location, longitude, latitude, altitude, material culture and so on. On this Basis, we identified animal remains, plant fossil, selected some samples for radiocarbon dating, optically stimulated luminescence dating, stable carbon, nitrogen isotopes, polle, fungal sporen and environmental proxies. This dataset provide important basic data for understanding when and how prehistoric human lived in the Tibetan Plateau during the Neolithic and Bronze Age.
YANG Xiaoyan, Lü Hongliang, LIU Xiangjun, HOU Guangliang
The data set includes the spatial distribution of grass yield in the Qinghai-Tibetan Plateau in 1980, 1990, 2000, 2010, and 2017. The gross primary productivity (GPP) of grassland in the Qinghai-Tibetan Plateau was simulated based on the ecological hydrological dynamic model VIP (vegetation interface process) with independent intellectual property of Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences. The net primary productivity (NPP) was estimated by empirical coefficient, and converted it into dry matter, and then the hay yield was estimated by root-shoot ratio. The spatial resolution is 1km. The data set will provide the basis for grassland resource management, development, utilization and the formulation of the strategy of "grass for livestock".
MO Xingguo
Based on the international trade data from UN comtrade crude oil resources (2709), after sorting, extracting, compiling and spatializing, flow map was made on arcgis 10.2 software platform. From the perspective of central Asia's oil trade relations, priority should be given to ensuring the oil exports of European countries as the main direction of central Asia's oil exports. Before 2006, the exports to Europe accounted for more than 90% of central Asia's exports.From the perspective of export volume and trade relations, since the disintegration of the Soviet union, central Asia has been seeking to diversify its exports and establish broader trade relations, with the number of exporting countries increasing from 3 in 1993 to 18 in 2016.Before 1995, central Asia exported only a small amount of oil, less than 1 million tons. From 1996 to 2013, oil exports increased rapidly and reached a peak.
YANG Yu, HE Ze
Among the five central Asian countries, oil resources are mainly distributed in kazakhstan, uzbekistan and turkmenistan.According to BP statistical yearbook of world energy, after sorting, extracting, calculating and summarizing, a statistical table of the reserves, output, consumption and proportion of crude oil resources in major central Asian countries (kazakhstan, uzbekistan and turkmenistan) in the world is formed. Main indicators include: (1) reserves, 1991-2016, unit: one million tons (2) output, 1985-2016, unit: one million tons (3) storage-production ratio, 1991-2016, unit: one million tons (4) consumption, 1985-2016, unit: one million tons (5) difference between production and consumption, 1985-2016, unit: one million tons In addition, the above data include the central Asian region of kazakhstan, uzbekistan, turkmenistan and turkmenistan combined with the world total.
HE Ze, YANG Yu
The datasets are topics for russian-soviet pipelines -- crude oil (oil) pipelines -- natural gas pipelines -- product pipelines; the data are presented at www.theodora.com. The main elements include: （1）The following table lists pipelines in Russia and the other countries of the former Soviet Union, including cross-border, international pipelines which originate or end in these countries, as shown on the map. （2）The pipeline routes on the map are labeled with the codes that are explained in the table. （3） Pipeline label codes are colored green for oil, red for gas and blue for products, such as gasoline and ethylene. （4）The diameter, length and capacity of the pipeline, if known, are shown on the table.
YANG Yu, HE Ze
Among the five central Asian countries, natural gas resources are mainly distributed in kazakhstan, uzbekistan and turkmenistan.According to BP statistical yearbook of world energy, a statistical table of proved reserves, production, consumption and proportion of natural gas resources in major central Asian countries (kazakhstan, uzbekistan, turkmenistan) and the world is formed after sorting, extracting, calculating and summarizing. Main indicators include: (1) proved reserves, 1997-2016, unit: 100 million cubic meters (2) output, 1985-2016, unit: 1 billion cubic meters (3) consumption, 1985-2016, unit: 1 billion cubic meters In addition, the above data include kazakhstan, uzbekistan and turkmenistan in central Asia, the total amount of the world and the proportion of each country in the world.
YANG Yu, HE Ze
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