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 records the planting area and planting structure of crops in Qinghai Province, and the data is divided according to the planting area and planting structure. 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 Sowing area and planting structure of main crops 2000-2003.xls Planting structure of main crops 2000-2001.xls Planting structure of main crops 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 sown area of crops in Main Years 1995-2005.xls Total sown area of crops in Main Years 1978-2012.xls Planting area of crops in Main Years 1978-2018.xls Sowing area and multiple cropping index of crops in Main Years 1952-1998.xls Sowing area and multiple cropping index of crops in Main Years 1952-1999.xls Sown area and multiple cropping index of crops in Main Years 1952-2000.xls Planting area and structure of crops 2000-2007.xls Planting area and structure of crops 2000-2005.xls Planting area and structure of crops 2000-2006.xls Planting area and structure of crops 2004.xls Planting area and structure of crops 2005-2009.xls Planting area and structure of crops 2006-2010.xls Planting area and structure of crops 2007-2011.xls Planting area and structure of crops 2008.xls Planting area and structure of crops 2009-2012.xls Planting area and structure of crops 2009-2013.xls Planting area and structure of crops 2010-2014.xls Planting area and structure of crops 2011-2015.xls Planting area and structure of crops 2012-2016.xls Planting area and structure of crops 2013-2017.xls Planting area and structure of crops 2013-2018.xls The data table structure is similar. For example, there are six fields in the 2000-2007 data table of crop planting area and planting structure Field 1: Total Sown Area of crops Field 2: food crops Field 3: cash crops 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
The data set records the year-end possession of agricultural machinery in Qinghai Province, and the data is divided by the category of consumer goods. 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 37 data tables Year end possession of agricultural machinery in Main Years 1957-1998.xls Year end possession of agricultural machinery in Main Years 1957-1999.xls Year end possession of agricultural machinery in Main Years 1957-2000.xls Year end possession of agricultural machinery in Main Years 1957-2001.xls Year end possession of agricultural machinery in Main Years 1957-2002.xls Year end possession of agricultural machinery in Main Years 1957-2004.xls Year end possession of agricultural machinery in Main Years 1957-2008.xls Year end possession of agricultural machinery in Main Years 1957-2009.xls Year end possession of agricultural machinery in Main Years 1957-2010.xls Year end possession of agricultural machinery in Main Years 1957-2011.xls Year end possession of agricultural machinery in Main Years 1957-2006.xls Year end possession of agricultural machinery in Main Years 1957-2007.xls Year end possession of agricultural machinery in Main Years 1965-2013.xls Year end possession of agricultural machinery in Main Years 1965-2014.xls Year end possession of agricultural machinery in Main Years 1965-2015.xls Year end possession of agricultural machinery in Main Years 1965-2016.xls Year end possession of agricultural machinery in Main Years 1965-2017.xls Year end possession of agricultural machinery in Main Years 1965-2018.xls Year end possession of agricultural machinery in Main Years 1998-2005.xls Year end possession of agricultural machinery in Main Years 1965-2012.xls Year end possession of agricultural machinery in major years and regions 1978-2003.xls Year end possession of agricultural machinery 2000-2003.xls Year end possession of agricultural machinery 2000-2005.xls Year end possession of agricultural machinery 2000-2006.xls Year end possession of agricultural machinery 2000-2007.xls Year end possession of agricultural machinery 2004.xls Year end possession of agricultural machinery 2005-2009.xls Year end possession of agricultural machinery 2005-2010.xls Year end possession of agricultural machinery 2006-2011.xls Year end possession of agricultural machinery 2008-2012.xls Year end possession of agricultural machinery 2008.xls Year end possession of agricultural machinery 2009-2013.xls Year end possession of agricultural machinery 2009-2014.xls Year end possession of agricultural machinery 2010-2015.xls Year end possession of agricultural machinery 2011-2016.xls Year end possession of agricultural machinery 2012-2017.xls Year end possession of agricultural machinery 2013-2018.xls The data table structure is similar. For example, there are four fields in the year-end possession of agricultural machinery from 2000 to 2003 Field 1: total power of agricultural machinery Field 2: main agricultural machinery and equipment Field 3: diesel engine power Field 4: large and medium tractors
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
This data set records the statistical data of rural power, farmland water conservancy construction and material consumption in Qinghai Province from 2000 to 2018, which are 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 16 data tables Rural power, water conservancy construction and material consumption, 2000-2005.xls Rural power, water conservancy construction and material consumption, 2000-2006.xls Rural power, water conservancy construction and material consumption, 2000-2007.xls Rural power, water conservancy construction and material consumption 2002-2003.xls Rural power, water conservancy construction and material consumption, 2004.xls Rural power, water conservancy construction and material consumption 2005-2009.xls Rural power, water conservancy construction and material consumption 2006-2010.xls Rural power, water conservancy construction and material consumption 2007-2011.xls Rural power, water conservancy construction and material consumption, 2008-2012.xls Rural power, water conservancy construction and material consumption, 2008.xls Rural power, water conservancy construction and material consumption, 2009-2013.xls Rural power, water conservancy construction and material consumption, 2009-2014.xls Rural power, water conservancy construction and material consumption 2010-2015.xls Rural power, water conservancy construction and material consumption 2011-2016.xls Rural power, water conservancy construction and material consumption, 2012-2017.xls Rural power, water conservancy construction and material consumption 2013-2018.xls The data table structure is the same. For example, there are nine fields in the data table of rural power, irrigation and water conservancy construction and material consumption from 2000 to 2006 Field 1: Indicators 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
This data set records the statistical data of agricultural mechanization and grassland construction in Qinghai Province in the main years, and the data are 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 15 data tables with the same structure. For example, there are 13 fields in the data table in 2018. The main fields are: Field 1: Agricultural Mechanization Field 2: actual mechanized area of the current year Field 3: mechanical sowing area of the current year Field 4: mechanical harvesting area of the current year Field 5: Grassland Construction Field 6: fenced grassland area Field 7: New Area of current year
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
The data set is mainly included the population, arable land and animal husbandry data of Qinghai Province and Tibet Autonomous Region in the past 100 years. The data mainly comes from historical documents and modern statistics. The data quality is more reliable. It mainly provides arguments for the majority of researchers in the development of agriculture and animal husbandry on the Qinghai-Tibet Plateau.
LIU Fenggui
The data of farmland distribution on the Qinghai-Tibet Plateau were extracted on the basis of the land use dataset in China (2015). The dataset is mainly based on landsat 8 remote sensing images, which are generated by manual visual interpretation. The land use types mainly include the cultivated land, which is divided into two categories, including paddy land (1) and dry land (2). The spatial resolution of the data is 30m, and the time is 2015. The projection coordinate system is D_Krasovsky_1940_Albers. And the central meridian was 105°E and the two standard latitudes of the projection system were 25°N and 47°N, respectively. The data are stored in TIFF format, named “farmland distribution”, and the data volume is 4.39GB. The data were saved in compressed file format, named “30 m grid data of farmland distribution in agricultural and pastoral areas of the Qinghai-Tibet Plateau in 2015”. The data can be opened by ArcGIS, QGIS, ENVI, and ERDAS software, which can provide reference for farmland ecosystem management on the QTP.
LIU Shiliang, SUN Yongxiu, LI Mingqi
The data set was obtained from UAV aerial photography during the field investigation of the Qinghai Tibet Plateau in August 2020. The data size is 10.1 GB, including more than 11600 aerial photos. The shooting sites mainly include Lhasa, Shannan, Shigatse and other areas along the road, residential areas and surrounding areas. The aerial photos mainly reflect the local land use / cover type, facility agriculture distribution, grassland coverage and other information. The aerial photos have longitude, latitude and altitude information, which can provide better verification information for land use / cover remote sensing interpretation, and can also be used for vegetation coverage estimation, and provide better reference information for land use research in the study area.
LV Changhe, LIU Yaqun
In order to study the relationship between the spread of cyanine and human activities, we will resequence the cyanine varieties from the Qinghai Tibet Plateau and its surrounding areas, as well as Pakistan, India, Nepal, Germany, Japan and other places. At the same time, we will cluster the gene families, and make statistics of unique, shared genes and gene families. In addition, we will also carry out the analysis of gene family expansion and contraction, and system development Tree construction, genome-wide replication events and other analysis. The aim is to analyze the molecular basis of adaptation of traditional species of cyanine to the plateau under the dual pressures of human activities and regional climate. Therefore, this study is helpful to reveal the adaptive mechanism of cyanine to adapt to the plateau ecological environment and the influence of artificial domestication and human selection on its genetic differentiation in the process of evolution.
The content of this data set is the measurements of body weight and body size (body height, body length, chest circumference, tube circumference) of 11 representative yak populations in Qinghai pastoral area at 2018. All the metadata comes from the work of body weight monitoring of yaks in Qinghai pastoral area at 2018, by the Northwest Institute of Plateau Biology, Chinese Academy of Sciences and Qinghai Academy of Animal Husbandry and Veterinary Sciences. The data set is named by “Monitoring Data Set of Body Weights of Traditional Grazing Yaks in Qinghai Pastoral Area (2018)”, consisting of 11 worksheets. The names and contents of worksheets are as follows: 1. Haiyan-Halejing (167 yaks in halejing Mongolian Town, Haiyan County, Haibei Tibetan Autonomous Prefecture); 2. Qilian-Mole (69 yaks in Mole Town, Qilian County, Haibei Tibetan Autonomous Prefecture); 3. Qilian-Yeniugou (42 yaks in Yeniugou Town, Qilian County, Haibei Tibetan Autonomous Prefecture); 4. Qilian-Yanglong (104 yaks in Yanglong Town, Qilian County, Haibei Tibetan Autonomous Prefecture); 5. Qilian-Ebao (28 yaks in Ebao Town, Qilian County, Haibei Tibetan Autonomous Prefecture); 6. Tianjun-Xinyuan (38 yaks in Xinyuan Town, Tianjun County, Haixi Mongolian and Tibetan Autonomous Prefecture); 7. Tianjun-Longmen (100 yaks in Longmen Town, Tianjun County, Haixi Mongolian and Tibetan Autonomous Prefecture); 8. Gande-Ganlong (36 yaks in Ganglong Town, Gande County, Guoluo Tibetan Autonomous Prefecture); 9. Guinan-Taxiu (70 yaks in Taxiu Town, Guinan County, Hainan Tibetan Autonomous Prefecture); 10. Henan-Kesheng (73 yaks in Kesheng Town, Henan Mongolian Autonomous Country, Huangnan Tibetan Autonomous Prefecture); 11. Ledu-Dala (50 yaks in Dala Town, Ledu District, Haidong City). This data set comprehensively evaluates the growth performance of yaks grazing in alpine meadow under the current ecological environment through the measurement of weight and body size data in the representative areas of Qinghai pastoral area. The data set can be compared with the growth characteristics of representative populations of Qinghai yaks measured in 1981 and 2008 recorded in 1983 and 2013, and the degradation index of growth performance of yaks grazing in Qinghai pastoral area can be obtained, which is helpful to assess the impact of ecological environment changes on the growth and production performance of grazing livestock.
JIA Gongxue, YANG Qien, Tianwei XU
The data set records one belt, one road, 65 countries, 1961-2009 years of agricultural machinery (tractor) quantity and other relevant data. Agricultural machinery refers to the number of wheeled and tracked tractors (excluding horticultural tractors) used in agriculture at the end of a specified calendar year or the first quarter of the following year. Data source: Food and Agriculture Organization, electronic files and web site. Agricultural machinery reduces labor intensity, reduces hard labor, alleviates labor shortage, improves productivity and timeliness of agricultural activities, improves effective utilization of resources, increases market access, and helps reduce climate related hazards. In the future, agricultural machinery will play a greater role in ensuring the environmental sustainability of agriculture. The data set contains two data tables: Agricultural Machinery (tractors per 100 square kilometers of arable land), agricultural machinery (number of tractors).
XU Xinliang
By archaeological investigation and excavation in Tibetan Plateau and Hexi corridor, we discovered more than 40 Neolithic and Bronze Age sites, including Zongri, Sanjiaocheng, Huoshiliang, Ganggangwa, Yigediwonan, Shaguoliang, Guandi, Maolinshan, Dongjicuona, Nuomuhong, Qugong, Liding and so on. In this dataset, there are some basic informations about these sites, such as location, longitude, latitude, altitude, material culture and so on. On this Basis, we identified animal remains, plant fossil, selected some samples for radiocarbon dating, optically stimulated luminescence dating, stable carbon, nitrogen isotopes, polle, fungal sporen and environmental proxies. This dataset provide important basic data for understanding when and how prehistoric human lived in the Tibetan Plateau during the Neolithic and Bronze Age.
DONG Guanghui, YANG Xiaoyan, Lü Hongliang, LIU Xiangjun, HOU Guangliang
The matching and zoning of water and land resources in Central Asian countries under the background of climate change can provide support for the development of water and land resources and agricultural production in Central Asian countries, and is of great significance to the social stability of the core region of the Silk Road Economic Belt. Based on the collected meteorological, water resources, land use and remote sensing data, the present situation of water and land resources development and utilization in Central Asia is analyzed. Based on the evaluating the characteristics and shortages of agricultural soil and water resources, using the DPSIR model and the theory of supply and demand, we constructed the index structure framework (SDCSL) of the study area, and the principal component analysis and cluster analysis are used to divide the regional of water and land resources utilization. Finally, we discussed the measures and ways to achieve the effective matching of agricultural water and land resources in different regions, so as to provide scientific reference and theoretical basis for the effective matching and sustainable development of regional agricultural water and land resources.
YAO Haijiao, LI Li, Food and Agriculture Organization of the United Nations（FAO）
The data set of agricultural activity intensity of the Qinghai Tibet Plateau is based on the County-Level Agricultural statistical data, including the annual cultivated land area, agricultural, forestry, animal husbandry and fishery labor force, total power of agricultural machinery, rural power consumption, effective irrigation area, pesticide use, fertilizer use, total output of grain crops, and total output value of agricultural, forestry, animal husbandry and fishery. The agricultural input index and output index are taken as the first level indicators, and the unit cultivated land area is constructed The intensity index system of agricultural activity is composed of 10 indexes, such as total power of agricultural machinery, fertilizer application amount per unit cultivated area and labor productivity. Entropy method was used to determine the weight of each index, and the input-output index of county-level agriculture in the Qinghai Tibet Plateau was obtained by AHP. The basic data comes from the statistical data released by the National Bureau of statistics, and the original data has been approved and corrected, with high reliability. The input-output index, input-output index and input-output index of county level in the Qinghai Tibet Plateau from 1980s to 2015 included in the data set reflect the spatiotemporal variation characteristics of the intensity of agricultural production activities in the Qinghai Tibet Plateau to a certain extent, and provide data support and theoretical reference for the local agricultural development.
LIU Yujie
Through the bioinformatics analysis after Hi-C sequencing, most of the sequences in the preliminary assembled genome sketch can be located on the chromosome, and the sequence and direction of these sequences on the chromosome can be determined, which lays an important foundation for obtaining high-quality sequence map. Therefore, by using this technology, the research team can divide the sequence in the sketch of the genome sequence of Aralia racemosa into groups with the same chromosome number as the species, and determine the order and orientation of all sequences in each group. After that, we can combine the data of reference genome, EST sequence, related species and genetic map of Aralia racemosa The accuracy of grouping and the order and direction between sequences were evaluated.
DUAN Yuanwen
