The observation data are from the Khunjerab gradient meteorological observation and test station on Pamir Plateau built by Urumqi desert Meteorological Institute of China Meteorological Administration in 2017, including the gradient data of various meteorological elements. The data period is from November 18, 2019 to October 8, 2021. The *. Xlsx format obtained by using toa5 merging tool and MS office has good data quality. This data can provide support for the research on the law of surface radiation and energy budget in Pamir Plateau and China Pakistan Economic Corridor, and provide reference basis for land surface process. Khunjerab meteorological station is located in the Pamir Plateau of China, with an altitude of 4600m, close to the border between China and Pakistan, and the data is extremely precious.
HUO Wen
The observation data come from the Zhongtianshan Grassland Land-Air Interaction Observation Experiment Station (Zhongtianshan Grassland Ecosystem Monitoring Station, Zhongtianshan Forest Ecosystem Monitoring Station and Zhongtianshan Peak Grassland Station, respectively) built by the Urumqi Desert Meteorological Institute of the China Meteorological Administration in 2016, which has a radiation observation system, a gradient detection system and eddy-related systems, containing data on radiation, soil and meteorological elements. The data period is from September 1, 2019 to October 13, 2021, and the data are in *.xlsx format using Eddrpro, LoggerNet, TOA5 merging tool and MS Office, etc. The data are of good quality and can provide support for the study of surface radiation and energy balance in the subsurface of grassland and forest, and provide reference for land surface processes. The data can be used to support the study of surface radiation and energy balance of grassland and forest, and provide a reference basis for land surface processes.
HUO Wen
Kara batkak glacier meteorological station in West Tianshan, Kyrgyzstan (42 ° 9'46 ″ n, 78 ° 16'21 ″ e, 3280m). The observation data include hourly meteorological elements (hourly rainfall (mm), instantaneous wind direction (°), instantaneous wind speed (M / s), 2-minute wind direction (°), 2-minute wind speed (M / s), 10 minute wind direction (°), 10 minute wind speed (M / s), wind direction at maximum wind speed (°), maximum wind speed (M / s), maximum wind speed time, wind direction at maximum wind speed (°), and maximum wind speed (M / s) , maximum wind speed time, maximum instantaneous wind speed and wind direction in minutes (°), maximum instantaneous wind speed in minutes (M / s), air pressure (HPA), maximum air pressure (HPA), maximum air pressure occurrence time, minimum air pressure (HPA), minimum air pressure occurrence time). Meteorological observation elements, after accumulation and statistics, are processed into climate data to provide important data for planning, design and research of agriculture, forestry, industry, transportation, military, hydrology, medical and health, environmental protection and other departments.
HUO Wen
The temperature humidity index (THI) was proposed by J.E. Oliver in 1973. Its physical meaning is the temperature after humidity correction. It considers the comprehensive impact of temperature and relative humidity on human comfort. It is an important index to measure regional climate comfort. On the basis of referring to the existing classification standards of physiological and climatic evaluation indexes, combined with the natural and geographical characteristics of the Qinghai Tibet Plateau and facing the needs of human settlements suitability evaluation in the Qinghai Tibet Plateau, the temperature and humidity index and its suitability zoning results of the Qinghai Tibet Plateau (more than 3000 meters) are developed (including unsuitable, critical suitable, general suitable, relatively suitable and highly suitable).
FENG Zhiming, LI Peng, LIN Yumei
The data set mainly includes the ice observation frequency (ICO) of north temperate lakes in four periods from 1985 to 2020, as well as the location, area and elevation of the lakes. Among them, the four time periods are 1985-1998 (P1), 1999-2006 (P2), 2007-2014 (P3) and 2015-2020 (P4) respectively, in order to improve the "valid observation" times in the calculation period and improve the accuracy. The ICO of the four periods is calculated by the ratio of "icing" times and "valid observation" times counted by all Landsat images in each period. Other lake information corresponds to the HydroLAKEs data set through the "hylak_id" column in the table. In addition, the data only retains about 30000 lakes with an area of more than 1 square kilometer, which are valid for P1-P4 observation. The data set can reflect the response of Lake icing to climate change in recent decades.
WANG Xinchi
Under the funding of the first project (Development of Multi-scale Observation and Data Products of Key Cryosphere Parameters) of the National Key Research and Development Program of China-"The Observation and Inversion of Key Parameters of Cryosphere and Polar Environmental Changes", the research group of Zhang, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, developed the snow depth downscaling product in the Qinghai-Tibet Plateau. The snow depth downscaling data set for the Tibetan Plateau is derived from the fusion of snow cover probability dataset and Long-term snow depth dataset in China. The sub-pixel spatio-temporal downscaling algorithm is developed to downscale the original 0.25° snow depth dataset, and the 0.05° daily snow depth product is obtained. By comparing the accuracy evaluation of the snow depth product before and after downscaling, it is found that the root mean square error of the snow depth downscaling product is 0.61 cm less than the original product. The details of the product information of the Downscaling of Snow Depth Dataset for the Tibetan Plateau (2000-2018) are as follows. The projection is longitude and latitude, the spatial resolution is 0.05° (about 5km), and the time is from September 1, 2000 to September 1, 2018. It is a TIF format file. The naming rule is SD_yyyyddd.tif, where yyyy represents year and DDD represents Julian day (001-365). Snow depth (SD), unit: centimeter (cm). The spatial resolution is 0.05°. The time resolution is day by day.
YAN Dajiang, MA Ning, ZHANG Yinsheng
The soil erodibility factor (K) dataset of 20 countries in the Pan-third pole area is calculated based on the soil properties downloaded from website of the international soil reference and Information Center (ISRIC)（https://files.isric.org/soilgrids/latest/data/） with 7.5 arc second resolution, and the dataset used in the calculation include soil clay content (%), silt content (%), and sand content (%), soil organic carbon content (g / kg) and soil texture class. The soil erodibility factor algorithm proposed by Wischmeier (1978) in the second edition of USLE manual was used, and the soil erodibility factor calculation tool (k_tool) was developed, to generat the 1 arc second (about 25m) soil erodibility factor map. The soil erodibility factor data of Pan third pole 20 countries is not only the fundamental input for soil erosion rate calculation based on CSLE, but also the basic data for analyzing soil characteristics.
YANG Qinke
The Slope Length and Stepness Factor (LS) dataset of Pan-third pole 20 country is calculated based on the free accessed 1 arc second resolution SRTM digital elevation data (Shuttle Radar Topography Mission, SRTM; the website is http://srtm.csi.cgiar.org）. After the pre-processing such as pseudo edge removal, filtering and noise removal, the LS factor with 7.5 arc second resolution was calculated with the LS factor algorithm in CSLE model and the LS calculation tool (LS_tool) developed in this project. The LS factor data of Pan-third pole 20 countries is the fundamental data for soil erosion rate calculation based on CSLE, and it also the fuandatmental data for analyzing the erosion topographic characteristics of Pan third pole 20 countries (such as macro distribution and micro pattern of elevation, slope and slope) . The dataset if of great importance for the analysis of geomorphic characteristics and geological disaster characteristics in this area.
YANG Qinke
The occurrence and diversification of the skeletal fossils during the latest Ediacaran and early Cambrian (Terreneuvian) witness the significant evolutionary event, “Cambrian explosion”, in earth history. These skeletal fossils were collectively termed as “small shelly fossils (SSFs)” for their micro-size and mineralization in normal. They represent the earliest metazoan records, and are crucial for studying the origins and early evolution of many animal clades. Due to their worldwide distribution and rapid biodiversification, the SSFs have been taken as an important tool for the early Cambrian stratigraphical correlation (especially for the Terreneuvian) and paleobiogeographical reconstruction. The North Pakistan locating the western Himalaya is one of the adjoining areas of Tibet Plateau. For the lack of basic stratigraphic and palaeontological studies, it’s hard to confirm the exact age of the Neoproterozoic to early Cambrian strata assigned by the previous studies. Few SSFs had been reported in the early Cambrian Hazira Formation at Salhad section in the eastern Hazara Basin, however, the studies of these fossils are quite preliminary and problematic. Therefore, it’s urgent to carry on new detailed research to clarify the genus and species of these fossils which is fundamental for the biostratigraphical studies. Herein, basing on the expedition of the Salhad section in eastern Hazara Basin, we have systematically collected and done the lab process of the fossil samples, and tentatively recognized 24 genus, 18 species and 3 unidentified species.
PAN Bing
1)The dataset includes the grid data of vegetation coverage and biological measure factor B of 20 countries in key regions, with a spatial resolution of 300 meters. 2）The basic data source is the MODIS MOD13Q1 product from 2014 to 2016 with a spatial resolution of 250 m. Based on this, a 24-half month average vegetation coverage raster data during a 3 year period was calculated, and then the soil loss ratio was calculated according to the land type. The, the 24- half months rainfall erosivity was further weighted and averaged to obtain a grid map of vegetation coverage and biological measures B factor. 3）MOD13Q1 remote sensing vegetation data was processed by cloud removal. The calculated B factor was statistically analyzed by landuse types and rationality analyzed. The final data quality is good. 4）The factor B of vegetation coverage and biological measures reflects the impact of surface land use/vegetation coverage on soil erosion, and is of great significance for soil erosion simulation and spatial pattern analysis in 20 key regions.
ZHANG Wenbo
1)The data includes the raster data of soil erosion intensity in 20 countries in key regions in2015, with a spatial resolution of 300 meters. 2）Based on the data of 13,000 survey units in 20 countries in key regions, the Chinese soil erosion prediction model (CSLE) was used to calculate the factors of rainfall erosivity, soil erodibility, slope length, slope gradient, vegetation cover and biological measures, engineering measures and tillage measures. And then the amount of soil erosion was interpolated by soil types, and the a soil erosion intensity map of 20 countries in key regions was then obtained. 3）The rationality of spatial pattern of soil erosion intensity data was analyze, and the data quality was good . 4）Soil erosion intensity data is of great significance for understanding the spatial pattern of soil erosion in 20 countries in key regions and for carrying out soil erosion control.
ZHANG Wenbo
1)The datase includes a 30-year (1986-2015) average rainfall erosivity raster data for 20 countries in key regions, with a spatial resolution of 300 meters. 2）The 0.5°×0.5° grid daily rainfall data generated by the Climate Prediction Center (CPC) based on global site data was used to calculate the rainfall erosivity R factor of 20 countries in key regions. 3）The daily rainfall data of 2358 weather stations nationwide from China Meteorological Administration from 1986 to 2015 was used to calculate the R value, and the R value calculated by establishing the CPC data source was rechecked and verified. It is found that the R value calculated by the CPC data system was low, and then it was revised, and the final data obtained was of good quality. 4）Rainfall erosivity R factor can be used as the driving factor of the CSLE model, and the data is of great significance for the simulation of soil erosion in 20 countries in key regions and the analysis of its spatial pattern.
ZHANG Wenbo
The data set records the output statistics of main crops in Qinghai Province, including the output of wheat, highland barley, potato (converted grain), oil crops, medlar, vegetables and edible fungi The statistical data covers the period from 2007 to 2018. The data set contains 12 data tables, namely: crop yield (2007), crop yield (2008), crop yield (2009), crop yield (2010), crop yield (2011), crop yield (2012), crop yield (2013), crop yield (2014) and crop yield (2015) , crop yield (2016), crop yield (2017) and crop yield (2018). The data table structure is similar. For example, the crop yield (2007) data table has four fields: Field 1: indicator name Field 2: year 2006 Field 3: year 2007 Field 4: increase / decrease
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the total output value of agriculture, forestry, animal husbandry and fishery in Qinghai Province in the main years, and the statistical data covers the period from 2012 to 2018. The data are divided by projects such as 2005, 2006, 2007, 2008, 2009, 2010, 2011 and 2012. The data set contains seven data tables, which are: total output value of agriculture, forestry, animal husbandry and fishery in Main Years (2012), total output value of agriculture, forestry, animal husbandry and fishery in Main Years (2013), total output value of agriculture, forestry, animal husbandry and fishery in Main Years (2014), total output value of agriculture, forestry, animal husbandry and fishery in Main Years (2015), total output value of agriculture, forestry, animal husbandry and fishery in Main Years (2016), total output value of agriculture, forestry, animal husbandry and fishery in Main Years (2017), Total output value of agriculture, forestry, animal husbandry and fishery in major years (2018). The data table structure is similar. For example, the data sheet of gross output value of agriculture, forestry, animal husbandry and fishery in Main Years (2012) has 7 fields: Field 1: year Field 2: total output value of agriculture, forestry, animal husbandry and fishery Field 3: Agriculture Field 4: Forestry Field 5: Animal Husbandry Field 6: Fisheries Field 7: agriculture, forestry, animal husbandry and Fishery Services
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the added value of agriculture, forestry, animal husbandry and fishery in Qinghai Province in the main years, and the statistical data covers the period from 2012 to 2018. The data are divided by items such as 2006, 2007, 2008, 2009, 2010, 2011 and 2012. The data set contains 7 data tables, which are: added value of agriculture, forestry, animal husbandry and fishery in Main Years (2012), added value of agriculture, forestry, animal husbandry and fishery in Main Years (2013), added value of agriculture, forestry, animal husbandry and fishery in Main Years (2014), added value of agriculture, forestry, animal husbandry and fishery in Main Years (2015), added value of agriculture, forestry, animal husbandry and fishery in Main Years (2016), added value of agriculture, forestry, animal husbandry and fishery in Main Years (2017), Added value of agriculture, forestry, animal husbandry and fishery in Main Years (2018). The data table structure is similar. For example, the data table of added value of agriculture, forestry, animal husbandry and fishery in Main Years (2012) has 7 fields: Field 1: year / Project Field 2: added value of agriculture, forestry, animal husbandry and fishery Field 3: Agriculture Field 4: Forestry Field 5: Animal Husbandry Field 6: Fisheries Field 7: agriculture, forestry, animal husbandry and Fishery Services
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland construction in Qinghai Province in the main years, covering the period from 2011 to 2017. The data are divided by fenced grassland area, new enclosure area in the current year, reserved area of artificial grass planting, area of new species in the current year, rodent damage area in the year, rodent damage control area in the year, etc. The data set contains seven data tables, which are: Grassland Construction in major years (2011), grassland construction in major years (2012), grassland construction in major years (2013), grassland construction in major years (2014), grassland construction in major years (2015), grassland construction in major years (2016) and grassland construction in major years (2017). The data table structure is similar. For example, the data sheet of grassland construction in major years (2011) has 10 fields: Field 1: indicator Field 2: 1995 Field 3: year 2000 Field 4: year 2005 Field 5: year 2006 Field 6: year 2007 Field 7: year 2008 Field 8: year 2009 Field 9: year 2010 Field 10: year 2011
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of main livestock and poultry production in Qinghai Province, covering the period from 2008 to 2018. The data are divided by pig, cattle, sheep, poultry and other items. The data set contains 11 data tables, which are: Main Livestock and poultry production table (2008), main livestock and poultry production table (2009), main livestock and poultry production table (2010), main livestock and poultry production table (2011), main livestock and poultry production table (2012), main livestock and poultry production table (2013), main livestock and poultry production table (2014) and main livestock and poultry production table (2015), table of main livestock and poultry production (2016), table of main livestock and poultry production (2017), table of main livestock and poultry production (2018). The data table structure is similar. For example, the data table of main livestock and poultry production (2008) has three fields: Field 1: indicator Field 2: Units Field 3: quantity
AGRICULTURAL AND RURAL Department of Qinghai Province
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 basic situation of fishery production in Qinghai Province, and the statistical data covers the period from 2010 to 2018. The data are divided according to the total output of aquatic products, aquaculture area, motor fishing boats, aquaculture fishermen, aquaculture enterprises and other projects. The data set contains 9 data tables, which are: basic situation of fishery production in Qinghai Province (2010), basic situation of fishery production in Qinghai Province (2011), basic situation of fishery production in Qinghai Province (2012), basic situation of fishery production in Qinghai Province (2013), basic situation of fishery production in Qinghai Province (2014), basic situation of fishery production in Qinghai Province (2015) and basic situation of fishery production in Qinghai Province (2016), basic situation of fishery production in Qinghai Province (2017), basic situation of fishery production in Qinghai Province (2018). The data table structure is similar. For example, the data table of basic situation of fishery production in Qinghai Province (2010) has three fields: Field 1: indicator Field 2: Units Field 3: quantity
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 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 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 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
The data set records the basic statistical data of green food enterprises and products in Qinghai Province, covering the period from 2004 to 2008. The data are divided by pearl oyster, pearl oyster egg, split beef, Tibetan green salt, high concentration seabuckthorn fruit honey, rapeseed high-grade cooking oil, pea starch, honey and other items. The data set contains five data tables, namely: green food enterprises and products in Qinghai Province (2004), green food enterprises and products in Qinghai Province (2005), green food enterprises and products in Qinghai Province (2006), green food enterprises and products in Qinghai Province (2007) and green food enterprises and products in Qinghai Province (2008). The data table structure is similar. For example, the data sheet of green food enterprises and products in Qinghai Province (2004) has 6 fields: Field 1: Manufacturer Field 2: registered trademark Field 3: output Field 4: output value (10000 yuan) Field 5: product sales region Field 6: contact number
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the directory data of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province. The statistical data covers the period from 2004 to 2012. The data are divided by Qinghai Sanjiang Group Co., Ltd., Qaidam Longkang high tech Pharmaceutical Co., Ltd., Huangzhong County Foreign Trade Co., Ltd., Guinan County cattle and sheep fattening Comprehensive Development Co., Ltd., Minhe Tianrun industry and Trade Development Co., Ltd., Xunhua Tianxiang Two Pepper company, etc. The data set contains 9 data tables, which are: the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2004), the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2005), the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2006), and the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2007), list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2008), list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2009), list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2010), list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2011) , the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2012). The data table structure is similar. For example, the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2004) has two fields: Field 1: enterprise name Field 2: level
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of crop sowing area in Qinghai Province, covering the period from 2006 to 2018. The data are divided by total sown area, food crops, Ma Ling Department, oil crops, rapeseed, vegetables, other crops, etc. The data set contains 13 data tables, which are: Crop sowing area (2006), crop sowing area (2007), crop sowing area (2008), crop sowing area (2009), crop sowing area (2010), crop sowing area (2011), crop sowing area (2012), crop sowing area (2012), Sown area of crops (2013), sown area of crops (2014), sown area of crops (2015), sown area of crops (2016), sown area of crops (2017), sown area of crops (2018). The data table structure is similar. For example, there are three fields in the data table of crop sowing area (2006): Field 1: 2006 Field 2: 2005 Field 3: increase or decrease%
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 situation of green biological capital enterprises and products in Qinghai Province, and the statistical data covers the period from 2013 to 2017. Green production resources include fertilizers, pesticides, feed and feed additives, veterinary drugs, food additives and other production inputs related to green food production. The data are based on Qinghai Yuhe bio organic fertilizer plant, Qinghai jiangheyuan agriculture and animal husbandry technology development Co., Ltd., Golmud Kangsheng potassium Industry Technology Development Co., Ltd., Qinghai Hongen Technology Co., Ltd., Haibei Chuyuan Biotechnology Development Co., Ltd., Minhe Lvbao forage Technology Development Co., Ltd., Qinghai Jingjie Magnesium Technology Co., Ltd Menyuan Yongxing ecological agriculture and animal husbandry development Co., Ltd., Qinghai Nanjia ecological environment development Co., Ltd. and Haibei Qilian Mountain green organic Biotechnology Development Co., Ltd. The data set contains five data tables, which are: green enterprises and products (2013), green enterprises and products (2014), green enterprises and products (2015), green enterprises and products (2016) and green enterprises and products (2017). The data table structure is similar. For example, there are three fields in the data sheet of green funded enterprises and products (2016): Field 1: enterprise name Field 2: Trademarks Field 3: product
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the total output value of agriculture, forestry, animal husbandry and fishery in all States, prefectures, cities and counties of Qinghai Province. 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 11 data tables, which are: total output value of agriculture, forestry, animal husbandry and fishery of counties (prefectures and cities) (2008), total output value of agriculture, forestry, animal husbandry and fishery of counties (prefectures and cities) (2009), total output value of agriculture, forestry, animal husbandry and fishery of counties (prefectures and cities) (2010), total output value of agriculture, forestry, animal husbandry and fishery of counties (prefectures and cities) (2011), total output value of agriculture, forestry, animal husbandry and fishery of counties (prefectures and cities) (2012), total output value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2013), total output value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2014), total output value of agriculture, forestry, animal husbandry and fishery in Counties (prefectures and cities) (2015), total output value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2016), total output value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2017), and The total output value of agriculture, forestry, animal husbandry and fishery in (prefecture, city) counties (2018). The data table structure is similar. For example, the data table of total output value of agriculture, forestry, animal husbandry and fishery in (prefecture, city) counties (2008) has five fields: Field 1: Agriculture Field 2: Forestry Field 3: Animal Husbandry Field 4: Fisheries Field 5: agriculture, forestry, animal husbandry and Fishery Services
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the added value of agriculture, forestry, animal husbandry and fishery in all States (prefectures, cities) and counties of Qinghai Province. 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 11 data tables, which are: added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2008), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2009), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2010), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2011), and added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2012), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2013), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2014), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2015), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2016), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2017), and The added value of agriculture, forestry, animal husbandry and fishery in (prefecture, city) counties (2018). The data table structure is similar. For example, the data table of added value of agriculture, forestry, animal husbandry and fishery in (prefecture, city) counties (2008) has five fields: Field 1: Agriculture Field 2: Forestry Field 3: Animal Husbandry Field 4: Fisheries Field 5: agriculture, forestry, animal husbandry and Fishery Services
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 animal husbandry production in Qinghai Province, covering the period from 2004 to 2018. The data are divided by large livestock, pigs, sheep, poultry, rabbits, bees and other items. The data set contains 14 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 2) (2004), animal husbandry production (Table 2) (2005), animal husbandry production (Table 3) (2004), animal husbandry production (Table 1) (2004), animal husbandry production (Table 1) (2005). The data table structure is similar. For example, the data sheet of animal husbandry production (2006) has five fields: Field 1: Project Field 2: closing stock Field 3: fertile female animals Field 4: current year piglets Field 5: number of columns in the current year
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of the designated wholesale market of agricultural and livestock products in Qinghai Province of the Ministry of agriculture, covering the period from 2007 to 2018. The data are divided by multiple projects, such as Qinghai Xining Haihu Road vegetable and fruit comprehensive wholesale market, Qinghai Ledu County Eastern Qinghai vegetable comprehensive wholesale market, Qinghai Ping'an Haidong agricultural and sideline products wholesale market, Qinghai Golmud Qingken wholesale market, Qinghai Xining Renjie grain and oil wholesale market, and Lejiawan livestock products wholesale market. The data set contains 12 data tables, which are: designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2007), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2008), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2009), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2010), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2011), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2012), Designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2013), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2014), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2015), designated wholesale market of agricultural and livestock products of the Ministry of Agriculture (2016), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2017), and designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2018). The data table structure is similar. For example, the data sheet of the designated wholesale market for agricultural and livestock products (2007) of the Ministry of agriculture has four fields: Field 1: sequence number Field 2: market name Field 3: responsible person Field 4: contact number
AGRICULTURAL AND RURAL Department of Qinghai Province
This data set records the statistical data on the establishment of a national standardized production base of green food raw materials in Qinghai, covering the period from 2009 to 2017. The data are based on the national standardized production base of green food raw materials (horse tooth broad bean) in Huangyuan County, Qinghai Province, the national standardized production base of green food raw materials (broad bean) in Huangzhong County, Qinghai Province, the national standardized production base of green food raw materials (potato) in Huangzhong County, Qinghai Province, and the national standardized production base of green food raw materials (Brassica campestris) in Haomen farm, Qinghai Province. There are 4 projects in total. The data set contains nine data tables, which are: Qinghai Province established a national standardized production base of green food raw materials (2009), Qinghai Province established a national standardized production base of green food raw materials (2010), Qinghai Province established a national standardized production base of green food raw materials (2011), Qinghai Province established a national standardized production base of green food raw materials (2012), Qinghai Province established the national standardized production base of green food raw materials (2013), Qinghai Province established the national standardized production base of green food raw materials (2014), Qinghai Province established the national standardized production base of green food raw materials (2015), Qinghai Province established the national standardized production base of green food raw materials (2016), and Qinghai Province established the national standardized production base of green food raw materials (2017). The data table structure is similar. For example, Qinghai Province established a national standardized production base of green food raw materials (2009). The data table has five fields: Field 1: sequence number Field 2: base name Field 3: create company Field 4: base size Field 5: base range
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
The data set records the statistical data of grassland protection and construction in Qinghai Province, covering the period from 2009 to 2016. 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 8 data tables, which are: statistical table of grassland protection and construction (2009), statistical table of grassland protection and construction (2010), statistical table of grassland protection and construction (2011), statistical table of grassland protection and construction (2012), statistical table of grassland protection and construction (2013), statistical table of grassland protection and construction (2014), Statistics of grassland protection and construction (2015), and statistics of grassland protection and construction (2016). The data table structure is similar. For example, there are 7 fields in the statistical table of grassland protection and construction (2009): Field 1: Region Field 2: grass fence Field 3: rodent control Field 4: pest control Field 5: improved grassland Field 6: artificial grass planting Field 7: Standard livestock greenhouse
AGRICULTURAL AND RURAL Department of Qinghai Province
This data set records the statistical data on the production of animal husbandry counties in Qinghai Province in the current year, covering the period from 2008 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 11 data tables, which are: the production situation of animal husbandry counties in the current year (2008), the production situation of animal husbandry counties in the current year (2009), the production situation of animal husbandry counties in the current year (2010), the production situation of animal husbandry counties in the current year (2011), and the production situation of animal husbandry counties in the current year (2012), Production situation of animal husbandry counties in the current year (2013), production situation of animal husbandry counties in the current year (2014), production situation of animal husbandry counties in the current year (2015), production situation of animal husbandry counties in the current year (2016), production situation of animal husbandry counties in the current year (2017), and production situation of animal husbandry counties in the current year (2018). The data table structure is similar. For example, there are five fields in the data sheet of the production situation of animal husbandry counties in the current year (2008): Field 1: large livestock Field 2: Pig Field 3: sheep Field 4: Poultry Field 5: Rabbit
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data on the production of fertile female animals in animal husbandry counties of Qinghai Province, covering the period from 2008 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 11 data tables, which are: production of fertile female livestock in animal husbandry counties (2008), production of fertile female livestock in animal husbandry counties (2009), production of fertile female livestock in animal husbandry counties (2010), production of fertile female livestock in animal husbandry counties (2011) and production of fertile female livestock in animal husbandry counties (2012) , production of fertile female livestock in animal husbandry counties (2013), production of fertile female livestock in animal husbandry counties (2014), production of fertile female livestock in animal husbandry counties (2015), production of fertile female livestock in animal husbandry counties (2016), production of fertile female livestock in animal husbandry counties (2017) and production of fertile female livestock in animal husbandry counties (2018) . the data table structure is similar. For example, the data table has three fields: Field 1: large livestock Field 2: Pig Field 3: sheep
AGRICULTURAL AND RURAL Department of Qinghai Province
