The data set records the statistical data of grassland type area and livestock carrying capacity of Dachaidan Administrative Committee 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, grass group in generation B, 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, namely: statistical data of grassland type area and livestock carrying capacity in Dachaidan town (1988), statistical data of grassland type area and livestock carrying capacity of Dachaidan Administrative Committee (2012) and code description of grassland type 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 of Dachaidan Administrative Committee: 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 grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in dari County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and inferior based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. 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 two data tables, namely: the statistical data of natural grassland grade area in dari county (2012) and the statistical data of natural grassland grade in dari county (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in dari county (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in dari County, 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, namely: statistical data of grassland type area and livestock carrying capacity in dari county (1988), statistical data of grassland type area and livestock carrying capacity in dari county (2012) and code description of grassland type 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 dari County: 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 grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Chengduo County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and poor with grassland type as the basic unit. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. 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 two data tables, namely: statistical data of natural grassland grade area in Chengduo county (2012) and statistical data of natural grassland grade in Chengduo county (1988). The data table structure is similar. For example, the statistical data of natural grassland grade area in Chengduo county (2012) has 9 fields: Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Chengduo County, 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, namely: statistical data of grassland type area and livestock carrying capacity in Chengduo county (1988), statistical data of grassland type area and livestock carrying capacity in Chengduo county (2012) and code description of grassland type 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 Chengduo County: 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 grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Bama County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and poor based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. 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 two data tables, namely: Statistics of natural grassland grade area in Bama County (2012) and statistics of natural grassland grade in Bama County (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in Bama County (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Bama County, 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: grassland type area and livestock carrying capacity statistics of Bama County (2012), grassland type area and livestock carrying capacity statistics of Bama County (1988) and grassland type code description of 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 Bama County: 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 grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The basic principle of ancient recipe analysis based on carbon and nitrogen stable isotope analysis method is you are what you eat, that is, the chemical composition of animal tissues and organs is closely related to their diet. Through the detection of isotope ratio of relevant elements, the food structure of ancient people and animals can be directly revealed Then it discusses the research means of people's livelihood and livestock domestication. The collagen of human and animal bones from shilinggang site in Nujiang, Yunnan Province in the southwest of Qinghai Tibet Plateau was analyzed by carbon and nitrogen stable isotopes.
DONG Guanghui , REN Lele
The alpine and anoxic environment of the Qinghai Tibet Plateau is a major challenge for human survival and life. When human beings boarded the Qinghai Tibet Plateau and adapted to the extreme environment of the plateau has always been a hot issue in the academic circles. At present, in the study of prehistoric culture of the Qinghai Tibet Plateau, except the northeast, most areas of the Qinghai Tibet Plateau have not established archaeological cultural sequences. Yajiang river basin is one of the areas with dense distribution of human activity relics, but there are few archaeological excavations and studies, and the activity history of the ancients in this area is not clear. Based on the systematic dating of cultural archaeological sites in Linzhi Area, Southeast Tibet, 33 carbon fourteenth age data were obtained.
YANG Xiaoyan, WANG Yanren
As the roof of the world, the water tower of Asia and the third pole of the world, the Qinghai Tibet Plateau is an important ecological security barrier for China and even Asia. With the rapid development of social economy, human activities have increased significantly, and the impact on the ecological environment is growing. In this paper, eight factors including cultivated land, construction land, National Road, provincial road, railway, expressway, GDP and population density were selected as the threat factors, and the attributes of the threat factors were determined based on the expert scoring method to evaluate the habitat quality of the Qinghai Tibet Plateau, so as to obtain six data sets of the habitat quality of the agricultural and pastoral areas of the Qinghai Tibet Plateau in 1990, 1995, 2000, 2005, 2010 and 2015. The production of habitat quality data sets will help to explore the habitat quality of the Qinghai Tibet Plateau and provide effective support for the government to formulate sustainable development policies of the Qinghai Tibet Plateau.
LIU Shiliang, LIU Yixuan, SUN Yongxiu, LI Mingqi
The data set records the sown area and yield (state-owned) of crops in Qinghai Province, and the data are divided by crop categories. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 9 data tables Total sown area of crops 1978-2001.xls Total sown area of crops 1978-2002.xls Total sown area of crops 1978-2003.xls Sown area and yield of crops (whole society) 1997-1998.xls Sown area and yield of crops (whole society) 1998-1999.xls Sown area and yield of crops (whole society) 1999-2000.xls Sown area and yield of crops (state owned) 1997-1998.xls Sown area and yield of crops (state owned) 1998-1999.xls The structure of the. XLS data table of crop sown area and yield (state-owned) from 1999 to 2000 is similar. For example, there are eight fields in the 1997-1998 data table of crop sown area and yield (state-owned) Field 1: Region Field 2: Area Field 3: Crops Field 4: Wheat Field 5: coarse cereals Field 6: potatoes Field 7: Crops Field 8: Oil
Qinghai Provincial Bureau of Statistics
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 records the investment situation of agricultural work relief in Qinghai Province, and the data is divided by the investment situation of agricultural work relief. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of two data tables Investment in agricultural work relief, 1998-1999.xls, The investment of agricultural work relief in 1999-2000.xls. The data table structure is the same. For example, there are four fields in the 1998-1999 data table of agricultural work relief investment Field 1: irrigation and water conservancy Field 2: drinking water for human and livestock Field 3: Forestry Field 4: Grassland Construction
Qinghai Provincial Bureau of Statistics
The data set records the situation of agricultural modernization in Qinghai Province, and the data are divided by product name. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 9 data tables Agricultural modernization level in Main Years 1952-1998.xls Agricultural modernization level in Main Years 1952-1999.xls Agricultural modernization level in Main Years 1952-2000.xls Agricultural modernization 1978-1998.xls Agricultural modernization 1978-1999.xls Agricultural modernization 1978-2000.xls Agricultural modernization 1978-2001.xls Agricultural modernization 1978-2002.xls Agricultural modernization 1990-2003.xls data table structure is similar. For example, the data table of agricultural modernization from 1978 to 1998 has five fields Field 1: Agricultural Mechanization Field 2: application amount of agricultural chemical fertilizer (physical quantity) Field 3: agricultural electrification Field 4: irrigation and water conservancy Field 5: Grassland Construction
Qinghai Provincial Bureau of Statistics
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 data set records the basic situation of rural grassroots organizations and agriculture in Qinghai Province from 1978 to 2004, which is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 9 data tables Basic situation of rural grassroots organizations and agriculture 1996-2001.xls Basic situation of rural grassroots organizations and agriculture 1997-2002.xls Rural grassroots organizations 1978-2001.xls Rural grassroots organizations 1978-2002.xls Rural grassroots organizations 1978-2003.xls Rural grassroots organizations 1990-1998.xls Rural grassroots organizations 1990-1999.xls Rural grassroots organizations 1990-2000.xls Rural grassroots organizations in 2004.xls The data table structure is similar. For example, the basic situation of rural grassroots organizations and agriculture in 1996-2001 has seven fields Field 1: Indicators Field 2: 1996 Field 3: 1997 Field 4: 1998 Field 5: 1999 Field 6:2000 Field 7:2001
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
This data set records the statistical data of the total index of agricultural product production price in Qinghai Province in main years, and the data is divided by year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 30 data tables with the same structure. For example, the data table in 2018 has three fields: Field 1: year Field 2: month on month index (last year = 100) Field 3: fixed base index (1952 = 100)
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the total yield and variety composition of grain and oil crops in Qinghai Province in the main years, and the data is divided by year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three data tables, namely, the total yield and variety composition of grain and oil crops in Main Years 1952-1998.xls, the total yield and variety composition of grain and oil crops in Main Years 1952-1999.xls, and the total yield and variety composition of grain and oil crops in Main Years 1952-2000.xls, with the same data table structure. For example, the data table in 2000 has four fields: Field 1: year Field 2: total grain production Field 3: species composition (%) Field 4: total oil production
Qinghai Provincial Bureau of Statistics
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