The data set records the statistical data of the total amount and composition of terminal energy pick-up fees in Qinghai Province from 1997 to 2017. The data is divided by the 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 14 data tables with the same structure. For example, the data table in 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.
DONG Guanghui, 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
