In order to explore how and when turnip was successfully domesticated the Qinghai-Tibet Plateau and what is the relationship between turnip domestication and early human settlement on the Qinghai-Tibetan Plateau and human migration along the ancient Silk Road, the whole genome De Novo sequencing of a self-bred F1 variety on Qinghai-Xizang Plateau was conducted, with the assembled genome size of 409.69 Mb,Contig N50 was 1.21 Mb in June 2018 using Pacbio sequencing. Those data will provide a genetic basis for elucidating the relationship between plant disperse and human activities. As we know, traditional turnip landrace is influenced by human domestication and nature selection. Hopefully, the study will help to understand the impacts of human selection on turnip genetic differentiation, and the adaptation mechanism of turnip in the Qinghai-Tibetan Plateau.
DUAN Yuanwen
This data comes from a random questionnaire survey conducted in the one-river-two-river region of Tibet, southeastern Tibet, and Hengduan mountainous area of eastern Sichuan and Tibet during July-August 2020. The data set mainly includes agricultural waste utilization data (straw utilization and livestock and poultry wastes). Utilization methods), straw utilization methods mainly include returning to the field, fuel, feed and compost, and livestock and poultry manure utilization methods mainly include fuel and fertilizer. The interviewees were mainly adults who were familiar with the family situation. In some villages, the output was calculated in small groups. The questionnaire design is based on the principles of scientificity, applicability, feasibility, typicality and specificity, and the "Household Questionnaire" is designed for the above areas. In order to ensure the reliability and validity of the questionnaire design content, the questionnaire was pre-investigated before the formal investigation, and there were problems in further modifying and improving the questionnaire. Before the official start of the questionnaire, the investigators were given the explanation of the content of the questionnaire and the training of investigation skills.
SONG Dagang SONG Dagang
This dataset was collected and predicted on the country scale, the data from 1992 to 2019/2020 were obtained from the FAOSTAT and resourcetrade.earth websites, and that from 2020/2021-2050 were predicted using the optimizing time-series method. Three types of data including the production, consumption and trade of major agricultural products were sorted, thereinto the production data inculde the total production, yield and harvested area of crops, vegetables and fruits, and total production of livestock (meat and milk). The concumption data include major food crops (wheat, rice, barley, maize and others), vegetables and fruits, and livestock (meat and milk). The trade data include the amounts and values of import and export from the three major agricultural products.
YANG Yonghui, HAN Shumin
This data set is based on the field survey data on farmland production, operation and management in Tibet's one river and two rivers region, Southeast Tibet, Sichuan Tibet East Hengduan Mountain Area in 2020. Sample selection: for the areas of one river and two rivers in Tibet, Southeast Tibet, and Hengduan Mountain Area in East Sichuan and Tibet, first, the typical sampling method is used to determine the sample counties, sample towns, and sample villages; Then, according to the basic situation of farmers, one sample Township and one sample village are selected from each county. Finally, one farmer is randomly selected from each sample village by using the random sampling method. The data set records the basic information of the investigated land, the basic information of the interviewed farmers, including education level, consumption level and other information, agricultural planting area, etc. The data set is the data obtained through field investigation and interview, which can be used to analyze the basic situation of agricultural planting on the Qinghai Tibet Plateau, and provide a theoretical basis for further improving the countermeasures and suggestions of government support policies.
TANG Yawei TANG Yawei
This dataset is based on the Tibet Statistical Yearbook and Qinghai Statistical Yearbook (2020). The two books contain statistical data on the economic and social development of the Tibet Autonomous Region and Qinghai Province since 2019, mainly from 1951 to 2020. Extract the agricultural aspects, from the basic situation of rural areas and agriculture, the basic situation of rural areas, rural employees, the total output value of agriculture, forestry, animal husbandry and fishery in sub-regional cities, the sown area of main crops, the output of main agricultural products, the output per unit area of main agricultural products, and the sown area of crops It is an important statistical data for people from all walks of life at home and abroad to understand the Qinghai-Tibet Plateau and the Qinghai-Tibet Plateau.
TANG Yawei TANG Yawei
The evaluation of the potential of cropland development under the influence of future climate change changes was carried out for the sustainable development of agriculture in five Central Asian countries, with cropland as the target. The evaluation factors of cropland development potential include: topographic factors (elevation, slope, slope direction, distance to water resources), soil factors (salinity, soil texture, soil organic matter content, soil pH), climate factors (rainfall, temperature, solar radiation), and economic factors (road density, population density). Using 2020 as the base year, the future potential for cropland development in Central Asia under the SSP5-8.5 scenario was estimated using the average precipitation and temperature from the ESM1 climate model in CMIP6, with other indicators held constant. The data provide evaluation results of the cropland development potential of the five Central Asian countries for the time periods 2020s, 2030s (2021-2040) and 2050s (2041-2060) with a spatial resolution of 0.01° × 0.01°. The dataset can provide basic data support for future land resource development and utilization and agricultural development in the five Central Asian countries.
JIANG Xiaohui, ZHANG Junjun
Certain hydrothermal conditions and soil conditions are the basis of crop growth. The Tibetan Plateau covers a vast area, and the changes of altitude and surface form in different areas are extremely complex. Plateau climate and soil have obvious spatial changes, so the distribution of cultivated land and crops has a large regional. There are two groups of high mountain ranges running east-west and north-south in Tibet, forming the basic framework of the plateau. The vast plateau is distributed between the mountains, and there are many low mountains, hills, lake basins and valley inlaid in the meantime, the overall terrain of the whole region gradually picked up from the southeast to the northwest, the southeast is lower, the west, the north is higher. The majestic Himalayas stand on the southern and western borders of China and India, China and Nepal, China and Tin, China and Bhutan, and China and Pakistan. With a total length of 2,400 kilometers and a mountain width of 200-300 kilometers, and an average elevation of more than 6,000 meters, they constitute a natural barrier to the southern part of the Qinghai-Tibet Plateau. The warm and wet airflow in the Bay of Bengal is blocked by mountains. The climate on the southern slope of the Himalayas is warm and humid, while that on the northern foothills of the Himalayas is warm and cool and dry, forming two different climate regions on the southern and northern slopes. The south side of the Himalayas mountain rivers deep, mountain canyon landform. The valley is more than 3000 meters above sea level, and the climate is warm and humid. The soil types are rich, mainly including mountain yellow soil, mountain brown soil, mountain brown soil and mountain meadow soil, etc. The soil is acidic to neutral, and contains rich humus, high nitrogen content, coarse texture and good permeability. Abundant surface runoff, irrigation conditions are better. However, due to terrain limitations, most of the land cannot be used because the slope is greater than 25 degrees, and most of the land is covered by forests. Arable land is mainly distributed in the valley below 4000 meters, the area is very limited.
LU Jimei
Naked barley, called highland barley in Tibet, is the main crop of the Tibetan plateau and the main food of the Tibetan people. It has a long planting history, the largest planting area, the widest distribution and the highest planting ceiling. As for the autonomous region, the annual sown area and total grain output account for more than half of the total sown area and total grain output. In river valleys below 4,200 meters, they account for 30-50% of the area sown to local crops. In the alpine farming area of 4,200-4,500 meters above sea level, it accounts for 70-90% of the planting area of local crops. Naked barley is almost the only crop at agricultural sites above 4,500 meters. Tibetan bare barley has strong cold and drought resistance and ADAPTS to the plateau climate conditions. It is distributed in the vast agricultural areas and farming-pastoral interlacing areas from more than 1,000 meters to 4,500 meters above sea level. At present, the upper limit of planting reaches 4750 meters, which is the highest limit of crop distribution in Tibet. In 1974, a comprehensive scientific expedition to the Qinghai-Tibet Plateau entered Tibet from Sichuan province and carried out investigations along the route. During a survey of wild barley in Jitang district, Chaya County, Qamdo region, Tibetan members provided information about semi-wild wheat, which is similar to wheat in morphology but has broken cob at maturity, and is generally mixed with highland barley and wheat fields as a field weed. Plant specimens and seeds were collected. When the expedition team arrived at the Institute of Agricultural Science and Technology of Tibet Autonomous Region, they learned that comrades Cheng Tianqing and Dong Yuao had collected a kind of wheat with broken cob at maturity in SAN 'an Qu Lin, Longzi County, Shannan Prefecture in 1962, which belonged to the same type as the materials we had collected in other areas of Tibet. Later, in the Xigaze regional agricultural research institute, Comrade Tan Changhua said that he had also seen this kind of wheat when the cob broke at maturity in Renbu County. In addition to the above areas, this wild wheat was also found near Jiacha county, Gongga County and Longzi County in Shannan during this year's investigation. Currently known distribution areas include lancang River basin, Yarlung Zangbo River basin and Longzi River basin.
LU Jimei
Agriculture in Tibet is concentrated in the valleys of the Yarlung Zangbo River in south Tibet and the Nu, Lancang and Jinsha Rivers in east Tibet. The agricultural area of the valley accounts for 75 percent of the total cultivated land area of the autonomous region, and the grain output accounts for more than 80 percent of the total grain output of the autonomous region. Wheat and naked barley (known as highland barley in Tibet) are the main grain crops in The Tibet Autonomous Region, with the perennial sown area accounting for more than 80% of the total sown area, while the wheat and naked barley in the valley agricultural areas account for 75% of the sown area and 82% of the total yield of the region. The agricultural area of the valley is located between 28 ° and 31° north latitude, 2700 -- 4100 meters above sea level. It belongs to the temperate climate of the plateau, with better soil and water conservancy conditions and higher crop yield. But before liberation, under the dark feudal serfdom, the people lived in extreme poverty, and agricultural production was very backward, with the yield of grain per mu only over 100 jin. After liberation, especially since 1972, winter wheat was widely promoted in the agricultural areas of the valley, which promoted the reform of the farming system and significantly increased grain output. In 1975, the total grain output of the region increased by more than 50 percent compared with 1965, and by more than 1.5 times that of 1958 before the democratic reform. In 1977, the area sown with winter wheat was nearly 700,000 mu, accounting for about 20 percent of the grain sown area. The planting area of winter wheat has expanded from areas with an altitude of less than 3,000 meters to areas with an altitude of less than 4,100 meters, and the Tibetan Plateau has developed from a historical area of spring wheat into an area where both spring and winter wheat are grown. In 1977, the average yield of winter wheat per mu in the agricultural areas of the valley exceeded 400 jin, and that of bare barley and spring wheat also reached 300 jin per mu.
LU Jimei
The population, grain, grain sown area and year-end data sets are extracted from the provincial and prefecture level statistical yearbooks of Qinghai, Tibet, Xinjiang, Gansu, Sichuan and Yunnan for many consecutive years. The missing data are interpolated as follows: 1. To ensure the accuracy of county data, Some counties and cities have been merged in this data (there may be errors in dividing and imputing the data for 20 years according to the proportion, but there will certainly be no problem in the merger, and the county area is small, so it is merged). 2. Xiahe County and cooperative city are merged into Xiahe County (cooperative city was separated from Xiahe County in 1998). 3. Gucheng district and Yulong County are merged into Gucheng district (Lijiang County was divided into Gucheng district and Yulong County in 2003). 4. The inner city district, East City District, West City District The four districts in Chengbei district have been merged into the district directly under the central government of Xining City (because the population of the four districts is given separately or the sum is given, and the total area of the four districts is only 487 square kilometers, they are merged). 5. For some missing data, curve fitting has been carried out in combination with similar years, and R2 is between 0.85-0.99. 6. In order to ensure the accuracy of the data, change maps have been prepared County by county
ZHANG Lu
The ecological resource consumption data set of Qinghai Province includes the ecological resource consumption data of 2000-2019 at the provincial, municipal and county levels. According to the actual situation of Qinghai Province, the ecological resource consumption mainly refers to the amount of ecological resources consumed in agricultural and animal husbandry production activities. The calculation of ecological resource consumption is based on grain production data, livestock stock data and livestock product production data, combined with the evaluation method of human occupied net primary productivity (HANPP), convert the biomass data into carbon content data, and then calculate the ecological resource consumption. Ecological resource consumption data is the basic data for the study of ecological pressure and ecological carrying capacity, which can directly reveal the pressure of human agricultural and animal husbandry production activities on the ecosystem.
HU Yunfeng
The Tibetan Plateau in China covers six provinces including Tibet, Qinghai, Xinjiang, Yunnan, Gansu and Sichuan, including Tibet and Qinghai, as well as parts of Xinjiang, Yunnan, Gansu and Sichuan. The research on water and soil resources matching aims to reveal the equilibrium and abundance of water resources and land resources in a certain regional scale. The higher the level of consistency between regional water resources and the allocation of cultivated land resources, the higher the matching degree, and the superior the basic conditions of agricultural production. The general agricultural water resource measurement method based on the unit area of cultivated land is used to reflect the quantitative relationship between the water supply of agricultural production in the study area and the spatial suitability of cultivated land resources. The Excel file of the data set contains the generalized agricultural soil and water resource matching coefficient data of the Tibetan Plateau municipal administrative region in China from 2008 to 2015, the vector data is the boundary data of the Tibetan Plateau municipal administrative region in China in 2004, and the raster data pixel value is the generalized agricultural soil and water resource matching coefficient of the year in the region.
DONG Qianjin, DONG Lingxiao
The data set records the statistical data of grassland type area and livestock carrying capacity in Haidong area of Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, which are: statistical data of grassland area and livestock carrying capacity of various types in Haidong area (1988), statistical data of grassland area and livestock carrying capacity in Haidong area (2012) and description of grassland group code in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Haidong area: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type, etc
AGRICULTURAL AND RURAL Department of Qinghai Province
The food supply resilience of countries along the Belt and Road reflects the level of food supply resilience of the countries along the Belt and Road, and the higher the value of the data, the stronger the food supply resilience of the countries along the Belt and Road. The food supply resilience data products were prepared by referring to the FAO FAOSTAT database country-specific statistics, using year-by-year data on cereal production in countries along the Belt and Road from 2000 to 2019, and generating food supply resilience products through comprehensive diagnosis based on sensitivity and adaptation analysis, taking into account year-by-year changes. The grain supply resilience dataset for countries along the Belt and Road is an important reference for analysing and comparing the current state of grain supply resilience in each country.
XU Xinliang
The data of Land Resources Productivity for “B&R” includes: 1. Areas of cultivated land resources in regions and countries along the “B&R”; 2. Data on grain planting area and total grain output in regions and countries along the “B&R”; 3. Major crops (rice, wheat, corn) in regions and countries along the route Planting area and production data; 4. Areas of grassland resources in the region and along the country; 5. Number of livestock (bovine, sheep) in the region and along the country. Source: Cultivated land and population data from the World Bank database; food, crop, grassland, and livestock data are from FAO. Data application: According to the data provided, the basic characteristics analysis of land resources and the analysis of land resource output can be carried out in the Belt and Road region and the countries along the route, so that the land resource productivity evaluation analysis can be carried out.
YANG Yanzhao
The data set recorded the statistical data of crop sown area in Qinghai Province, covering the period from 1978 to 2020. Data is broken down by major years. The dataset contains 13 data tables, which are: Sown area of crops (2006), sown area of crops (2007), sown area of crops (2008), sown area of crops (2009), sown area of crops (2010), sown area of crops (2011), sown area of crops (2012), sown area of crops (2012), sown area of crops (2012), The sown area of crops (2013), the sown area of crops (2014), the sown area of crops (2015), the sown area of crops (2016), the sown area of crops (2017), the sown area of crops (2018), the sown area of crops (1978-2020). The data table structure is similar. For example, the sown area of crops (1978-2020) data table has 5 fields: Field 1: Year Field 2: Food crops Field 3: Wheat Field 4: miscellaneous grains Field 5: Roots
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set recorded the statistical data of animal husbandry production in Qinghai Province, covering the period from 2004 to 2020. Data are divided by livestock, pigs, sheep, poultry, rabbits, bees and other items. The dataset contains 16 data tables, which are: Animal Husbandry Production (2006), Animal Husbandry production (2007), Animal husbandry production (2010), Animal husbandry production (2011), Animal husbandry production (2014), Animal husbandry production (2015), Animal husbandry production (2016), Animal husbandry production (2017), Animal Husbandry Production (2018), Animal Husbandry Production (Table II) (2004), Animal Husbandry Production (Table II) (2005), Animal Husbandry production (Table III) (2004), Animal Husbandry Production (Table I) (2004), Animal Husbandry Production (Table I) (2005), Qinghai Animal Husbandry Production and Output of Main Animal Products (2014-2019). XLS, Qinghai Animal Husbandry Production and Output of Main Animal Products (2015-2020). XLS. The data table structure is similar. For example, the livestock Production Table (2006) has five fields: Field 1: Item Field 2: Final number of stocks Field 3: Can breed females Field 4: Year of birth Field 5: Number of bars in the current year
AGRICULTURAL AND RURAL Department of Qinghai Province
This data set records the year-end ownership of agricultural machinery in Qinghai province from 1957 to 2020. Data in a diesel engine power, gasoline engine power, motor power and other mechanical power, large and medium-sized tractor (Taiwan), small tractors (ten thousand), large and medium-sized tractor supporting tools (Taiwan) and small tractor supporting tools (ten thousand), agricultural irrigation and drainage (Taiwan), combine harvester (Taiwan), mobile thresher (Taiwan), the farm transporter (car), fishing with machine Moving vessels (vessels) and irrigation and drainage facilities for agricultural use. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The data set mainly contains 39 data tables, which are as follows: Annual ownership of agricultural machinery 1957-1998. XLS Annual agricultural machinery ownership 1957-1999. XLS Main years Agricultural machinery year-end ownership 1957-2000. XLS Main years Agricultural machinery year-end ownership 1957-2001. XLS Main years Agricultural machinery year-end ownership 1957-2002 XLS Annual ownership of agricultural machinery 1957-2004. XLS Main years Agricultural machinery year-end ownership 1957-2008. XLS Main years agricultural machinery year-end ownership 1957-2009. XLS Annual ownership of agricultural machinery 1957-2010. XLS Annual ownership of agricultural machinery 1957-2011. XLS Main years Agricultural machinery year-end ownership 1957-2006. XLS Main years Agricultural machinery year-end ownership 1957-2007. XLS Annual ownership of agricultural machinery 1965-2013. XLS Annual ownership of agricultural machinery 1965-2014. XLS Annual ownership of agricultural machinery 1965-2015. XLS Annual ownership of agricultural machinery 1965-2016. XLS Annual ownership of agricultural machinery 1965-2017. XLS Annual ownership of agricultural machinery 1965-2018. XLS Main years Agricultural machinery year-end ownership 1998-2005. XLS Annual ownership of agricultural machinery 1965-2012. XLS Main years and year-end ownership of agricultural machinery by region 1978-2003. XLS Year-end ownership of agricultural machinery 2000-2003. XLS Agricultural machinery year-end ownership 2000-2005. XLS Agricultural machinery year-end ownership 2000-2006. XLS Agricultural machinery year-end ownership 2000-2007. XLS Agricultural machinery year-end ownership 2004. XLS Agricultural machinery year-end ownership 2005-2009. XLS Agricultural machinery year-end ownership 2005-2010. XLS Agricultural machinery year-end ownership 2006-2011. XLS Agricultural machinery year-end ownership 2008-2012. XLS Agricultural machinery year-end ownership 2008. XLS Agricultural machinery year-end ownership 2009-2013. XLS Agricultural machinery year-end ownership 2009-2014. XLS Year-end ownership of agricultural machinery 2010-2015. XLS Year-end ownership of agricultural machinery 2011-2016. XLS Year-end ownership of agricultural machinery 2012-2017. XLS Year-end ownership of agricultural machinery 2013-2018. XLS Year-end ownership of agricultural machinery 2014-2019. XLS Year-end ownership of agricultural machinery 1965-2020. XLS The data table structure is similar. For example, the year-end ownership of agricultural machinery 2000-2003 data table has 6 fields: Field 1: indicator Field 2:2000 Field 3:2001 Field 4:2002 Field 5:2003 Field 6:2003 is % for 2002
Qinghai Provincial Bureau of Statistics
The dataset recorded the output statistics of major crops in Qinghai province from 2007 to 2020, including wheat, highland barley, potato (fold grain), oil crops, wolfberry, vegetables and edible fungi, covering the period from 2007 to 2020. The dataset contains 13 data tables, which are: Crop yield (2007), crop yield (2008), crop yield (2009), crop yield (2010), crop yield (2011), crop yield (2012), crop yield (2013), crop yield (2014), crop yield (2015), Crop output (2016), crop output (2017), crop output (2018) Output of major crop products in Qinghai Province (2015-2020).xls. The data table structure is similar. For example, the crop yield (2007) data table has 4 fields: Field 1: Indicator name Field 2: Year 2006 Field 3: Year 2007 Field 4: increase or decrease
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set recorded the sown area and cropping structure of crops in Qinghai province from 1952 to 2020, divided by major years and regions such as Xining, Haidong, Haibei, Huangnan, Hainan, Guoluo, Yushu and Haixi. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 39 data tables, which are: Main crops sown area and planting structure 2000-2003. XLS Main crop planting structure 2000-2001. XLS Main crop planting structure 2001-2002. XLS Total sown area of crops in main years 1978-2004. XLS Total sown area of crops in main years 1978-2008. XLS Total sown area of crops in main years 1978-2009. XLS Total sown area of crops in main years 1978-2010. XLS Total sown area of crops in main years 1978-2011. XLS Total sown area of crops in main years 1978-2013. XLS Total sown area of crops in main years 1978-2014. XLS Total sown area of crops in main years 1978-2015. XLS Total sown area of crops in main years 1978-2016. XLS Total sown area of crops in main years 1978-2017. XLS Total sown area of crops in main years 1978-2006. XLS Total sown area of crops in main years 1978-2007. XLS Total area sown to crops in main years 1995-2005. XLS Total sown area of crops in main years 1978-2012. XLS Total sown area of crops in main years 1978-2020.xls Main year crop sown area 1978-2018.xLS Crop sown area and multiple cropping index of main years 1952-1998. XLS Crop sown area and multiple cropping index of main years 1952-1999. XLS Crop sown area and multiple cropping index of main years 1952-2000. XLS Planting area and planting structure of crops 2000-2007. XLS Planting area and planting structure of crops 2000-2005. XLS Planting area and planting structure of crops 2000-2006. XLS Crop sown area and planting structure 2004. XLS Planting area and planting structure of crops 2005-2009.xLS Planting area and planting structure of crops 2006-2010. XLS Sown area and planting structure of crops 2007-2011. XLS Crop sown area and planting structure 2008.xls Crop sown area and planting structure 2009-2012. XLS Crop sown area and planting structure 2009-2013. XLS The sown area and planting structure of crops 2010-2014. XLS Sown area and planting structure of crops 2011-2015. XLS Crop sown area and planting structure 2012-2016. XLS Crop sown area and planting structure 2013-2017.xLS Crop sown area and planting structure 2013-2018.xLS Sown area and planting structure of crops 2015-2020.xLS The data table structure is similar. For example, there are 6 fields in the data table from 2000 to 2007: Field 1: Total sown area of crops Field 2: Food crops Field 3: Cash crop Field 4: Vegetables Field 5: melons and fruits Field 6: Other
Qinghai Provincial Bureau of Statistics
"The data set recorded the statistical data of rural electric power, farmland water conservancy construction and material consumption in Qinghai Province from 2000 to 2020. The data were divided by rural electric power, farmland water conservancy construction, agricultural chemical fertilizer application amount (discounted), agricultural plastic film use amount, agricultural diesel use amount and pesticide use amount, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Construction of rural electric power, irrigation and water conservancy and material consumption 2000-2005. XLS Rural electric power, irrigation and water conservancy construction and material consumption 2000-2006. XLS Rural electric power, irrigation and water conservancy construction and material consumption 2000-2007. XLS Rural electric power, irrigation and water conservancy construction and material consumption 2002-2003. XLS Construction of rural electric power, irrigation and water conservancy and material consumption in 2004.xls Rural electric power, irrigation and water conservancy construction and material consumption 2005-2009. XLS Rural power, irrigation and water conservancy construction and material consumption 2006-2010. XLS Rural power, irrigation and water conservancy construction and material consumption 2007-2011. XLS Rural electric power, irrigation and water conservancy construction and material consumption 2008-2012. XLS Construction of rural electricity, irrigation and water conservancy and material consumption in 2008. XLS Rural power, irrigation and water conservancy construction and material consumption 2009-2013. XLS Rural power, irrigation and water conservancy construction and material consumption 2009-2014. XLS Rural power, irrigation and water conservancy construction and material consumption 2010-2015. XLS Rural power, irrigation and water conservancy construction and material consumption 2011-2016. XLS Rural power, irrigation and water conservancy construction and material consumption 2012-2017. XLS Rural power, irrigation and water conservancy construction and material consumption 2013-2018. XLS Rural power, irrigation and water conservancy construction and material consumption 2014-2019. XLS Rural power, irrigation and water conservancy construction and material consumption 2015-2020. XLS The data table structure is the same. For example, the data table of rural electricity, irrigation and water conservancy construction and material consumption from 2000 to 2006 has 9 fields: Field 1: indicator Field 2:2000 Field 3:2001 Field 4:2002 Field 5:2003 Field 6:2004 Field 7:2005 Field 8:2006 Field 9:2006 is % of 2005"
Qinghai Provincial Bureau of Statistics
"Year of the data set recorded in qinghai province is mainly agricultural mechanization and grassland construction statistics, the data is according to the agricultural mechanization, the actual mechanical ploughing area, the area sown to the mechanical, mechanical harvesting area, grassland, enclosure grassland area, on the construction of artificial grass reserved area of rat damage area, years and years pest damage such as division of the area. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 17 data tables, all of which have the same structure. For example, the data table from 2015 to 2020 has 7 fields: Field 1: indicator Field 2:2015 Field 3:2016 Field 4:2017 Field 5:2018 Field 6:2019 Field 7:2020"
Qinghai Provincial Bureau of Statistics
The data set of economic, population, and urbanization growth and change in Qilian mountain area includes the social and economic development indicators of 1949-2020 long-term time series of 5 prefecture-level cities and 14 districts and counties in the Qilian mountain basin, such as the added value of the tertiary industry, population scale, etc. They are the subsets of economic, population, and urbanization growth changes of prefecture-level cities in Qilian mountain and the subsets of county-level economic, population, and urbanization growth changes in Qilian mountain. The data comes from Gansu statistical yearbook, Wuwei statistical bulletin of national economic and social development, Zhangye statistical bulletin of national economic and social development, Jiuquan statistical bulletin of national economic and social development, Jinchang statistical bulletin of national economic and social development, Jiayuguan statistical bulletin of national economic and social development, and social development of Ejina Banner. Since the data source is the publicly released provincial and Municipal Statistical Yearbook, the data has not been cross verified, and the consistency and accuracy of the data need to be verified in the process of data analysis and application. The data set is a macro data set reflecting the growth and change of economy, population, and urbanization in Qilian mountain. It has complete coverage and long-time series. It can provide basic information for the social and economic development and change of Qilian mountain.
WU Feng
This data set includes the social, economic, resource and other relevant index data of Gansu, Qinghai, Sichuan, Tibet, Xinjiang and Yunnan in the Qinghai Tibet Plateau from 2000 to 2015. The data are derived from Gansu statistical yearbook, Qinghai statistical yearbook, Sichuan statistical yearbook, Xizang statistical yearbook, Xinjiang statistical yearbook, Yunnan statistical Yearbook China county (city) socio economic statistical yearbook And China economic network, guotai'an, etc. The statistical scale is county-level unit scale, including 26 county-level units such as Yumen City, Aksai Kazak Autonomous Region and Subei Mongolian Autonomous County in Gansu Province, 41 county-level units such as Delingha City, Ulan county and Tianjun County in Qinghai Province, 46 counties such as Shiqu County, Ruoergai County and ABA County in Sichuan Province, and 78 counties such as Ritu County, Gaize county and bango County in Tibet, 14 counties including Wuqia County, aktao county and Shache County in Xinjiang Province, and 9 counties including Deqin County, Zhongdian county and Fugong County in Yunnan Province; Variables include County GDP, added value of primary industry, added value of secondary industry, added value of tertiary industry, total industrial output value of Industrial Enterprises above Designated Size, total retail sales of social consumer goods, balance of residents' savings deposits, grain output, total sown area of crops, number of students in ordinary middle schools and land area. The data set can be used to evaluate the social, economic and resource status of the Qinghai Tibet Plateau.
CHEN Yizhong
This dataset was captured during the field investigation of the Qinghai-Tibet Plateau in June 2021 using uav aerial photography. The data volume is 3.4 GB and includes more than 330 aerial photographs. The shooting locations mainly include roads, residential areas and their surrounding areas in Lhasa Nyingchi of Tibet, Dali and Nujiang of Yunnan province, Ganzi, Aba and Liangshan of Sichuan Province. These aerial photographs mainly reflect local land use/cover type, the distribution of facility agriculture land, vegetation coverage. Aerial photographs have spatial location information such as longitude, latitude and altitude, which can not only provide basic verification information for land use classification, but also provide reference for remote sensing image inversion of large-scale regional vegetation coverage by calculating vegetation coverage.
LV Changhe, ZHANG Zemin
The supply capacity of land resources is an important index to determine the carrying capacity of land resources. The data set includes: (1) the supply capacity of cultivated land resources in the Qinghai Tibet Plateau; (2) Data on grassland resource supply capacity of Qinghai Tibet Plateau. The supply capacity of cultivated land resources is based on the output of main agricultural products of Tibet Bureau of statistics, and summarizes the output of grain, meat, eggs and dairy livestock products at key nodes; The grassland resource supply capacity is based on the grassland area and livestock quantity data of Tibet Bureau of statistics, combined with field sampling data and climate data, and based on the aboveground biomass model to calculate the average biomass and total biomass of grassland in typical counties at key nodes. The data can be used to analyze the spatial difference of land supply capacity of the Qinghai Tibet Plateau, which is of great significance to the study of land carrying capacity of the Qinghai Tibet Plateau.
YANG Yanzhao
The data set was obtained from UAV aerial photography during the field investigation of the Qinghai Tibet Plateau in August 2020. The data size is 10.1 GB, including more than 11600 aerial photos. The shooting sites mainly include Lhasa, Shannan, Shigatse and other areas along the road, residential areas and surrounding areas. The aerial photos mainly reflect the local land use / cover type, facility agriculture distribution, grassland coverage and other information. The aerial photos have longitude, latitude and altitude information, which can provide better verification information for land use / cover remote sensing interpretation, and can also be used for vegetation coverage estimation, and provide better reference information for land use research in the study area.
LV Changhe, LIU Yaqun
1) Data content: the data are the ancient DNA data generated by studying the cultural layer of Klu lding site in Nyingchi region, Tibetan Plateau, including the hiseqx metagenomics data of 10 ancient DNA samples from 4 layers. It can be used to preliminarily analyze the changes of species composition recorded by ancient DNA in the sediments, and reveal the process of local agricultural development. 2) Data source and processing method: the research group has its ownership. the data were obtained by using pair-end library building and Illumina hiseqx sequencing platform. 3) Data quality: 20.3 MB, Q30 > 85%. 4) Application: The data will be used to explore the potential of the ancient DNA from archaeological sediments in revealing the development of ancient agriculture on the Tibetan Plateau.
YANG Xiaoyan
The ecological resource consumption data set of Tibet includes the ecological resource consumption data of 2000-2019 at the provincial, city and county levels. According to the actual situation of Tibet, ecological resource consumption mainly refers to the amount of ecological resources consumed in agricultural and animal husbandry production activities. The calculation of ecological resource consumption is based on grain production data, livestock stock data and livestock product production data, combined with the evaluation method of human appropriation the net primary productivity (HANPP), convert biomass data into carbon content data, and then calculate the ecological resource consumption. Ecological resource consumption data is the basic data for the study of ecological pressure and ecological carrying capacity, which can directly reveal the pressure of human agricultural and animal husbandry production activities on the ecosystem.
YAN Huiming
The data set records the situation of breeding livestock and poultry farms and stations in Qinghai Province, and the statistical data covers the period from 2009 to 2018. The data are divided by cattle breeding farm, horse breeding farm, pig breeding farm, sheep breeding farm, poultry breeding farm, rabbit breeding farm, bee breeding farm and others. The data set contains 10 data tables, which are: breeding livestock and poultry stations (2009), breeding livestock and poultry stations (2010), breeding livestock and poultry stations (2011), breeding livestock and poultry stations (2012), breeding livestock and poultry stations (2013), breeding livestock and poultry stations (2014), breeding livestock and poultry stations (2015), breeding livestock and poultry stations (2016), breeding livestock and poultry stations (2017), Breeding livestock and poultry farms and stations (2018). The data table structure is similar. For example, there are 7 fields in the data sheet of breeding livestock and poultry farms and stations (2009): Field 1: indicator name Field 2: number of fields Field 3: year end inventory Field 4: breeding stock Field 5: breeding livestock and poultry in the current year Field 6: embryos produced in the current year Field 7: Semen produced in the current year
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the effective use of organic product mark certification units and products in Qinghai Province. The statistical data covers the period from 2009 to 2016. The data are divided by Qinghai CommScope Biotechnology Co., Ltd., Qinghai Tsinghua Bozhong Biotechnology Co., Ltd., Qinghai Datong cattle breeding farm, Qinghai Haixi aquaculture farm, Henan Sanyuan Mengxin organic livestock product development company and other projects. The data set contains 8 data tables, which are: the effective use of organic product mark certification units and products in Qinghai Province (2014), the effective use of organic product mark certification units and products in Qinghai Province (2015), and the effective use of organic product mark certification units and products in Qinghai Province (2016), List of publicity on the effective use of organic product mark certification units and products in Qinghai Province (2013), list of effective use of organic product mark certification enterprises and products in Qinghai Province (2009), list of effective use of organic product mark certification enterprises and products in Qinghai Province (2010), List of enterprises and products effectively using organic product mark certification in Qinghai Province (2011), and list of enterprises and products effectively using organic product mark certification in Qinghai Province (2012). The data table structure is similar. For example, there are 7 fields in the data sheet of the list of enterprises and products effectively using organic product mark certification in Qinghai Province (2010): Field 1: Manufacturer Field 2: industry name Field 3: Certificate number Field 4: registered trademark Field 5: Production Field 6: product sales region Field 7: contact number
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grain and oil crop production in Qinghai Province, covering the period from 2013 to 2018. The data are divided by Xining City, Haidong City, Huangnan Prefecture, Haibei Prefecture, Hainan prefecture, Haixi Prefecture, Guoluo Prefecture, Yushu prefecture, prison bureau, Sanjiangyuan and other projects. The data set contains six data tables, which are: Provincial Grain and oil crop production statistics (2013), provincial grain and oil crop production statistics (2014), provincial grain and oil crop production statistics (2015), provincial grain and oil crop production statistics (2016), provincial grain and oil crop production statistics (2017) and provincial grain and oil crop production statistics (2018). The data table structure is similar. For example, there are 8 fields in the statistical table of grain and oil crop production of the whole province (2013): Field 1: Wheat Field 2: highland barley Field 3: broad bean Field 4: Peas Field 5: Potato Field 6: Corn Field 7: Rapeseed Field 8: Flax
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the basic situation data of Township animal husbandry and veterinary extension institutions in Qinghai Province, and the statistical data covers the period from 2012 to 2017. The data are divided according to the number of stations, total number of employees, Technical Title Status, operation status, annual total income, annual total expenditure and other items. The data set contains five data tables, which are: basic information of Township animal husbandry and veterinary extension institutions (2012), basic information of Township animal husbandry and veterinary extension institutions (2014), basic information of Township animal husbandry and veterinary extension institutions (2015), basic information of Township animal husbandry and veterinary extension institutions (2016) and basic information of Township animal husbandry and veterinary extension institutions (2017). The data table structure is similar. For example, the data sheet of basic information of Township animal husbandry and veterinary extension institutions (2012) has three fields: Field 1: indicator name Field 2: Calculation Field 3: quantity
AGRICULTURAL AND RURAL Department of Qinghai Province
This data set records the statistical data of origin identification and product certification of pollution-free agricultural products in Qinghai Province, covering the period from 2009 to 2017. The data are divided by items such as Huzhu County Vegetable Technology Service Center, Qinghai mutual Feng Agricultural Technology Co., Ltd., Wulan County Agricultural Technology Extension Station of Haixi Prefecture, Dulan County Agricultural Technology Extension Station, Ledu County Vegetable Technology Extension Center, Datong County Vegetable workstation, etc. The data set contains 9 data tables, which are: list of origin identification and product certification of pollution-free agricultural products in Qinghai Province (2009), list of origin identification and product certification of pollution-free agricultural products in Qinghai Province (2010), list of origin identification and product certification of pollution-free agricultural products in Qinghai Province (2011), List of origin identification and product certification of pollution-free agricultural products in Qinghai Province (2012), list of origin identification and product certification of pollution-free agricultural products in Qinghai Province (2013), list of origin identification and product certification of pollution-free agricultural products in Qinghai Province (2014), list of origin identification and product certification of pollution-free agricultural products in Qinghai Province (2015), List of origin identification and product certification of pollution-free agricultural products in Qinghai Province (2016), and list of origin identification and product certification of pollution-free agricultural products in Qinghai Province (2017). The data table structure is similar. For example, there are 6 fields in the data sheet of origin identification and product certification of pollution-free agricultural products in Qinghai Province (2009): Field 1: production unit Field 2: origin address Field 3: product name Field 4: origin scale Field 5: annual production Field 6: Certificate of origin number (validity period)
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grain and oil crop sowing area in Qinghai Province, covering the period from 2015 to 2018. The data are divided by Xining City, Haidong City, Huangnan Prefecture, Hainan prefecture and other projects. The data set contains four data tables, which are: Statistics of grain and oil crop area of the whole province (2015), statistics of grain and oil crop area of the whole province (2016), statistics of grain and oil crop area of the whole province (2017) and statistics of grain and oil crop area of the whole province (2018). The data table structure is similar. For example, the statistical data sheet of grain and oil crop area in the province (2015) has three fields: Field 1: food crops Field 2: oil crops Field 3: other crops
AGRICULTURAL AND RURAL Department of Qinghai Province
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 statistical data of comprehensive production conditions in agricultural and pastoral areas of Qinghai Province, covering 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 51 data tables, which are: production conditions in agricultural and pastoral areas (Table 1) (2014), production conditions in agricultural and pastoral areas (Table 2) (2014), production conditions in agricultural and pastoral areas (Table 3) (2014), production conditions in agricultural and pastoral areas (table 4) (2014), production conditions in agricultural and pastoral areas (Table 5) (2014), production conditions in agricultural and pastoral areas (Table 6) (2014), Production conditions in agricultural and pastoral areas (Table 7) (2014), production conditions in agricultural and pastoral areas (Table 8) (2014), production conditions in agricultural and pastoral areas (Table 9) (2014), production conditions in agricultural and pastoral areas (table 10) (2014), etc. The data table structure is similar. For example, the data sheet of production conditions in agricultural and pastoral areas (Table I) (2014) has four fields: Field 1: total rural labor resources Field 2: grouping by gender Field 3: total number of rural employees Field 4: grouping by educational level, etc
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the agricultural production conditions in agricultural and pastoral areas of Qinghai Province, including agricultural mechanization, farmland water conservancy, mechanization project level, natural disasters, etc. 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: agricultural production conditions in agricultural and pastoral areas (2014), agricultural production conditions in agricultural and pastoral areas (2015), agricultural production conditions in agricultural and pastoral areas (2016), agricultural production conditions in agricultural and pastoral areas (2017) and agricultural production conditions in agricultural and pastoral areas (2018). The data table has the same structure. For example, the data table of agricultural production conditions in agricultural and pastoral areas (2014) has 6 fields: Field 1: rainwater collection cellar Field 2: water saving irrigation machinery Field 3: agricultural water pumps Field 4: Combine Field 5: self propelled motorized windrower Field 6: motorized thresher
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the basic situation of agricultural and pastoral areas in Qinghai Province, including the number of townships, villagers' committees, community infrastructure, etc. 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 10 data tables, which are: basic information of agricultural and pastoral areas (Table 1) (2014), basic information of agricultural and pastoral areas (Table 2) (2014), basic information of agricultural and pastoral areas (Table 1) (2015), basic information of agricultural and pastoral areas (table 2) (2015), basic information of agricultural and pastoral areas (Table 1) (2016), basic information of agricultural and pastoral areas (Table 2) (2016), Basic information of agricultural and pastoral areas (Table 1) (2017), basic information of agricultural and pastoral areas (Table 2) (2017), basic information of agricultural and pastoral areas (Table 1) (2018), basic information of agricultural and pastoral areas (Table 2) (2018). The data table structure is similar. For example, the basic information of agricultural and pastoral areas (Table I) (2014) data table has three fields: Field 1: number of villages and towns Field 2: Village Committee (PCs.) Field 3: rural community infrastructure (PCs.)
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the total output value and added value of agriculture, forestry, animal husbandry and fishery in Qinghai Province at current price. The statistical data covers the period from 2006 to 2014. The data are divided by total output value of agriculture, forestry, animal husbandry and fishery, agriculture, forestry, animal husbandry, fishery, agriculture, forestry, animal husbandry and fishery services, etc. The data set contains 9 data tables, which are: total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2006), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2007), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2008), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2009), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2010), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2011), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2012), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2013), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2014). The data table structure is similar. For example, the data table of total output value and added value (current price) (2006) of agriculture, forestry, animal husbandry and fishery has four fields: Field 1: indicator name Field 2: 2006 Field 3: 2005 Field 4: increase or decrease%
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the basic statistics of agricultural reclamation enterprises and institutions in Qinghai Province, covering the period from 2004 to 2006. According to the data of Haixi Agricultural Reclamation Bureau, Delingha farm, bayinhe farm, Gahai farm, huaitoutara farm, chachachaxiangka farm, Mohe ranch, Dulan camel farm, Golmud farm, Qinghai Lake farm, Tongbao ranch and Topaz ranch, there are 19 farms in total. The data set is provided by the Department of agriculture and animal husbandry of Qinghai Province. The data set includes: basic information of agricultural reclamation enterprises and institutions (Table 1) (2004), basic information of agricultural reclamation enterprises and institutions (Table 2) (2004), basic information of agricultural reclamation enterprises and institutions (Table 3) (2004), basic information of agricultural reclamation enterprises and institutions (Table 4) (2004), basic information of agricultural reclamation enterprises and institutions (Table 5) (2004), basic information of agricultural reclamation enterprises and institutions (2005), Basic information of agricultural reclamation enterprises and institutions (Table I) (2005) and other 18 data tables in total. The data tables have similar structures. For example, the basic information of agricultural reclamation enterprises and institutions (Table I) (2004) has five fields: Field 1: enterprise name Field 2: enterprise nature Field 3: competent department Field 4: main industry Field 5: output value (10000 yuan), etc
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the basic situation of rural areas and agricultural production conditions in Qinghai Province. The statistical data covers the period from 2007 to 2013. 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 includes rural basic situation and agricultural production conditions (Table 1) (2007), rural basic situation and agricultural production conditions (Table 2) (2007), rural basic situation and agricultural production conditions (Table 3) (2007), rural basic situation and agricultural production conditions (Table 4) (2007), rural basic situation and agricultural production conditions (Table 5) (2007), rural basic situation and agricultural production conditions (Table 6) (2007), rural basic situation and agricultural production conditions (Table 7) (2007), rural basic situation and agricultural production conditions (Table 8) (2007), rural basic situation and agricultural production conditions (Table 1) (2008), rural basic situation and agricultural production conditions (Table 2) There are 105 data sheets in total (2008). The structures of each data sheet are similar. For example, the data sheet of rural basic situation and agricultural production conditions (Table I) (2007) has 20 fields: Field 1: number of township governments Field 2: number of village committees Field 3: number of cooperatives Field 4: number of rural households Field 5: rural population Field 6: rural community infrastructure Field 7: total rural labor resources Field 8: total number of rural employees Field 9: current year outgoing personnel Field 10: education level Field 11: agriculture, forestry, animal husbandry and fishery practitioners Field 12: total cultivated land resources at the beginning of the year Field 13: cultivated land area increased in the current year Field 14: cultivated land area reduced in the current year Field 15: national infrastructure land occupation Field 16: land occupation of rural collective infrastructure Field 17: land occupied by individual farmers Field 18: Reforestation area Field 19: area for returning farmland to grassland Field 20: change cultivated land to garden land
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 data set records the basic situation of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province, and the statistical data covers the period from 2013 to 2018. The data is divided by enterprise name, enterprise registration type, legal representative, general manager, enterprise address, fixed telephone, mobile phone and fax. The data set contains six data tables, which are: basic information table of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2013), basic information table of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2014), basic information table of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2015), basic information table of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2016), Basic information of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2017), and basic information of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2018). The data table structure is the same. For example, the basic information table of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2013) has 9 fields: Field 1: enterprise name Field 2: enterprise registration type Field 3: legal representative Field 4: General Manager Field 5: business address Field 6: zip code Field 7: fixed telephone, mobile phone and fax Field 8: Web address Field 9: remarks
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the animal husbandry production in pastoral and semi pastoral counties of Qinghai Province. The statistical data covers the period from 2009 to 2018. The data are divided according to the basic situation, livestock and poultry breeding, output and marketing of livestock products, sales of livestock products and other items. The data set contains 10 data tables, which are: animal husbandry production in pastoral counties and semi pastoral counties (2009), animal husbandry production in pastoral counties and semi pastoral counties (2010), animal husbandry production in pastoral counties and semi pastoral counties (2011), animal husbandry production in pastoral counties and semi pastoral counties (2012), animal husbandry production in pastoral counties and semi pastoral counties (2013), pastoral counties Animal husbandry production in semi pastoral counties (2014), animal husbandry production in pastoral counties and semi pastoral counties (2015), animal husbandry production in pastoral counties and semi pastoral counties (2016), animal husbandry production in pastoral counties and semi pastoral counties (2017), and animal husbandry production in pastoral counties and semi pastoral counties (2018). The data table structure is similar. For example, there are four fields in the data sheet of animal husbandry production in pastoral counties and semi pastoral counties (2010): Field 1: indicator name Field 2: calculation unit Field 3: Pastoral County Field 4: semi pastoral counties
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the planting area and output of grain, oil and vegetables in different counties of Qinghai Province. The statistical data covers the period from 2005 to 2009. The data are divided by Xining City, Hainan prefecture, Guoluo Prefecture, Haixi Prefecture and other projects. The data set includes: area and output of grain, oil and vegetables by county (Table 1) (2005), area and output of grain, oil and vegetables by county (Table 2) (2005), area and output of grain, oil and vegetables by county (Table 3) (2005), area and output of grain, oil and vegetables by county (Table 4) (2005), area and output of grain, oil and vegetables by county (Table 5) (2005) There are 44 data tables in total, including the area and output of grain, oil and vegetables by county (Table 6) (2005), the area and output of grain, oil and vegetables by county (Table 7) (2005), the area and output of grain, oil and vegetables by county (Table 8) (2005), and the area and output of grain, oil and vegetables by county (Table 9) (2005). The data table structure is similar. For example, the area and output of grain, oil and vegetables by county (table 10), (2006), the data table has 7 fields: Field 1: Project Field 2: sown area of other crops Field 3: green feed Field 4: oats Field 5: green manure Field 6: Flowers Field 7: other
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the output and production of livestock products in different counties of Qinghai Province, and the statistical data covers the period from 2008 to 2018. The data are divided into 8 states and cities according to Xining City, Haidong region, Haibei Prefecture, Huangnan Prefecture, Hainan prefecture, Guoluo Prefecture, Yushu prefecture and Haixi Prefecture. The data set contains 9 data tables, which are: production of livestock products by county (2008), production of livestock products by county (2009), production of livestock products by county (2012), production of livestock products by county (2013), production of livestock products by county (2014) and production of livestock products by county (2015) , the output and production of livestock products by county (2016), the output and production of livestock products by county (2017) and the output and production of livestock products by county (2018) are similar in structure. For example, there are 18 fields in the table of livestock production by county (2015): Field 1: county name Field 2: total meat production Field 3: where: beef Field 4: pork Field 5: mutton Field 6: Poultry Field 7: rabbit meat Field 8: milk production Field 9: milk production Field 10: where: yak milk production Field 11: cashmere production Field 12: goat wool production Field 13: sheep wool production Field 14: where: fine wool production Field 15: semi fine wool production Field 16: honey production Field 17: egg production Field 18: where: egg production
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the animal husbandry indicators of Qinghai Province, and the statistical data covers the period from 2006 to 2014. The data are divided according to the survival rate of young animals, mortality rate of adult and young animals, reproductive survival rate, slaughter rate of meat animals, commodity rate of livestock, total growth rate of livestock, etc. The data set contains 8 data tables, namely: animal husbandry index (2006), animal husbandry index (2007), animal husbandry index (2009), animal husbandry index (2010), animal husbandry index (2011), animal husbandry index (2012), animal husbandry index (2013) and animal husbandry index (2014). The data table structure is similar. For example, the data sheet of animal husbandry indicators (2011) has four fields: Field 1: indicator name Field 2: 2010 Field 3: 2011 Field 4: increase or decrease%
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of "breeding in the West and breeding in the East" in Qinghai Province, covering the period from 2003 to 2005. The data are divided into 12 counties such as Huangzhong County, Huangyuan County, Datong County, Ping'an County, Xunhua County, Hualong County, Huzhu County, Tongren County and Ledu County, and 14 related reference years such as 2003 and 2004. The data set contains two data tables, namely, "West breeding and East breeding" table (2003-2004) and "West breeding and East breeding" table (2004-2005). The data table structure is similar. For example, the data table of "breeding in the West and breeding in the East" (2004-2005) has five fields: Field 1: Unit Field 2: total number of households Field 3: cattle and sheep fattening Field 4: Loan Status Field 5: fattening stock
AGRICULTURAL AND RURAL Department of Qinghai Province
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