The data set records the after tax profit prosperity index of Qinghai Province enterprise prosperity survey, and the data is divided according to the after tax profit prosperity index of enterprise prosperity survey. 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 12 data tables Business climate survey of Qinghai Province after tax profit climate index 1998-1999.xls Business climate survey of Qinghai Province after tax profit climate index 1999-2000.xls Business climate index 2000-2001.xls Business climate index of profit after tax adjustment 2001-2002.xls Business climate index 2002-2003.xls Business climate index after tax profit of business climate adjustment 2004-2005.xls Business climate index after tax profit of business climate adjustment 2005-2006.xls Business climate adjusted profit climate index 2006-2007.xls Business climate adjusted profit climate index 2007-2008.xls Business climate index after tax profit of business climate adjustment 2008-2009.xls Business climate index after tax profit of business climate adjustment 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 data table of business climate adjusted profit climate index Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the business climate survey product ordering climate index of Qinghai Province, and the data is divided according to the business climate survey product ordering climate index. 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate adjustment product ordering climate index 2000-2001.xls Business climate adjustment product ordering climate index 2001-2002.xls Business climate adjustment product ordering climate index 2002-2003.xls Business climate adjustment product ordering climate index 2004-2005.xls Business climate adjustment product ordering climate index 2005-2006.xls Business climate adjustment product ordering climate index 2006-2007.xls Business climate adjustment product ordering climate index 2007-2008.xls Business climate adjustment product ordering climate index 2008-2009.xls Business climate adjustment product ordering climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 data table of business climate adjustment product ordering climate index Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the comprehensive business climate index of enterprises in Qinghai Province. The data is divided according to the comprehensive business climate index of enterprises in Qinghai Province. 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Enterprise business climate index 2000-2001.xls Business climate adjustment business comprehensive business climate index 2001-2002.xls Business climate adjustment business comprehensive business climate index 2002-2003.xls Business climate adjustment business comprehensive business climate index 2004-2005.xls Business climate adjustment business comprehensive business climate index 2005-2006.xls Business climate index 2006-2007.xls Business climate index 2007-2008.xls Business climate index in 2008 Business climate adjustment business climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the data table of business climate index 2009-2010 Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
This data set records the production prosperity index of Qinghai Province enterprise prosperity survey, and the data is divided according to the production prosperity index of enterprise prosperity survey. 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate adjustment business production climate index 2000-2001.xls Business climate adjustment business production climate index 2001-2002.xls Business climate index 2002-2003.xls Business climate adjustment business production climate index 2004-2005.xls Business climate adjustment business production climate index 2005-2006.xls Business climate adjustment business production climate index 2006-2007.xls Business climate index 2007-2008.xls Business climate adjustment business production climate index 2008-2009.xls Business climate adjustment business production climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 data table of business climate index Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the financing climate index of Qinghai enterprise climate survey, and the data is divided by the financing climate index of enterprise climate survey. 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 six tables Business climate survey business financing climate index 2005-2006.xls Business climate survey business financing climate index 2006-2007.xls Business climate survey business financing climate index 2007-2008.xls Business climate survey business financing climate index 2008-2009.xls Business climate survey business financing climate index 2009-2010.xls Business climate survey business financing climate index 2010-2011.xls. The data table structure is the same. For example, there are five fields in the 2005-2006 business climate survey business financing climate index data table Field 1: type Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the average net income per capita of rural households in Qinghai Province, and the data are divided according to the source of income. 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 Average net income per capita of rural households, 1985-2001.xls, Average net income per capita of rural households, 1985-2002.xls, The average per capita net income of rural households and its composition 1985-2003.xls. The data table structure is similar. For example, the average net income per capita of rural households from 1985 to 2001 has five fields: Field 1: wage income Field 2: net household income Field 3: agricultural income Field 4: Forestry revenue Field 5: animal husbandry income
Qinghai Provincial Bureau of Statistics
The data set records the macro business climate index of enterprises in Qinghai Province, and the data is divided according to the macro business climate index of enterprises in Qinghai Province. 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate adjustment business macro business climate index 2000-2001.xls Business climate adjustment business macro business climate index 2001-2002.xls Business climate index 2002-2003.xls Business climate adjustment business macro business climate index 2004-2005.xls Business climate adjustment business macro business climate index 2005-2006.xls Business climate adjustment business macro business climate index 2006-2007.xls Business climate index 2007-2008.xls Business climate adjustment business macro business climate index 2008-2009.xls Business climate adjustment business macro business climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 business climate index data table of business climate adjustment Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the labor prosperity index of enterprise prosperity survey in Qinghai Province, and the data is divided according to the labor prosperity index of enterprise prosperity survey. 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate survey labor climate index 2000-2001.xls Business climate survey labor climate index 2001-2002.xls Business climate survey labor climate index 2002-2003.xls Business climate survey labor climate index 2004-2005.xls Business climate survey labor climate index 2005-2006.xls Business climate survey labor climate index 2006-2007.xls Business climate survey labor climate index 2007-2008.xls Business climate survey labor climate index 2008-2009.xls Business climate survey labor climate index 2009-2010.xls The structure of the. XLS data table is the same. For example, there are five fields in the data table of business climate survey labor climate index from 2009 to 2010 Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the business climate survey product sales climate index of Qinghai Province, and the data is divided according to the business climate survey product sales climate index. 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate survey product sales climate index 2000-2001.xls Business climate survey product sales climate index 2001-2002.xls Business climate survey product sales climate index 2002-2003.xls Business climate survey product sales climate index 2004-2005.xls Business climate survey product sales climate index 2005-2006.xls Business climate survey product sales climate index 2006-2007.xls Business climate survey product sales climate index 2007-2008.xls Business climate survey product sales climate index 2008-2009.xls Business climate survey product sales climate index 2009-2010.xls The structure of. XLS data table is the same from 2010 to 2011. For example, the business climate survey product sales climate index 2009-2010 data table has five fields: Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of energy production elasticity coefficient of Qinghai Province from 1990 to 2017, 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 contains 17 data tables, which are: Elasticity coefficient of energy production 1990-2001.xls Elasticity coefficient of energy production 1990-2002.xls Elasticity coefficient of energy production 1990-2003.xls Elasticity coefficient of energy production 1990-2005.xls Elasticity coefficient of energy production 1990-2006.xls Elasticity coefficient of energy production 1990-2007.xls Elasticity coefficient of energy production 1990-2008.xls Elasticity coefficient of energy production 1990-2009.xls Elasticity coefficient of energy production 1990-2010.xls Elasticity coefficient of energy production 1990-2011.xls Elasticity coefficient of energy production 1990-2012.xls Elasticity coefficient of energy production 1990-2013.xls Elasticity coefficient of energy production 1990-2014.xls Elasticity coefficient of energy production 1990-2015.xls Elasticity coefficient of energy production 1990-2016.xls Elasticity coefficient of energy production 1990-2017.xls Elasticity coefficient of energy production 2004.xls The data table structure is the same. For example, there are six fields in the data table of energy production elasticity coefficient from 1990 to 2001 Field 1: year Field 2: energy production growth over the previous year Field 3: electricity production growth over the previous year Field 4: GDP growth over the previous year Field 5: elasticity of energy production Field 6: elasticity coefficient of power production
Qinghai Provincial Bureau of Statistics
The data set records the finished product inventory prosperity index of Qinghai Province enterprise prosperity survey, and the data is divided according to the finished product inventory prosperity index of enterprise prosperity survey. 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 12 data tables Qinghai Province enterprise prosperity survey finished goods inventory prosperity index 1998-1999.xls Qinghai Province enterprise prosperity survey finished goods inventory prosperity index 1999-2000.xls Business climate survey finished goods inventory climate index 2000-2001.xls Business climate survey finished goods inventory climate index 2001-2002.xls Business climate survey finished goods inventory climate index 2002-2003.xls Business climate survey finished goods inventory climate index 2004-2005.xls Business climate survey finished goods inventory climate index 2005-2006.xls Business climate survey finished goods inventory climate index 2006-2007.xls Business climate survey finished goods inventory climate index 2007-2008.xls Business climate survey finished goods inventory climate index 2008-2009.xls Business climate survey finished goods inventory climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is similar. For example, there are five fields in the business climate survey inventory climate index 2000-2001 data table Field 1: type Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The Qinghai Tibet Plateau belongs to the plateau mountain climate. The precipitation, its seasonal distribution and the change of precipitation forms have been one of the hot spots in the global climate change research. The data includes precipitation data of Qinghai Tibet Plateau, with spatial resolution of 1km * 1km, temporal resolution of month and year, and time coverage of 2000, 2005, 2010 and 2015. The data are obtained by Kring interpolation of meteorological data of National Meteorological Science Information Center. The data can be used to analyze the temporal and spatial distribution of precipitation over the Qinghai Tibet Plateau. In addition, the data can also be used to analyze the temporal and spatial variation of precipitation over the Qinghai Tibet Plateau, which is of great significance to the study of the ecological environment of the Qinghai Tibet Plateau.
FANG Huajun
The Tibetan Plateau is known as “The World’s Third Pole” and “The Water Tower of Asia”. A relatively accurate map of the frozen soil in the Tibetan Plateau is therefore significant for local cold region engineering and environmental construction. Thus, to meet the engineering and environmental needs, a decision tree was established based on multi-source remote sensing data (elevation, MODIS surface temperature, vegetation index and soil moisture) to divide the permafrost and seasonally frozen soil of the Tibetan Plateau. The data are in grid format, DN=1 stands for permafrost, and DN=2 stands for seasonally frozen soil. The elevation data are from the 1 km x 1 km China DEM (digital elevation model) data set (http://westdc.westgis.ac.cn); the surface temperature is the yearly average data based on daily data estimated by Bin Ouyang and others using the Sin-Linear method. The estimation of the daily average surface temperature was based on the application of the Sin-Linear method to MODIS surface products, and to reduce the time difference with existing frozen soil maps, the surface temperature of the study area in 2003 was used as the information source for the classification of frozen soil. Vegetation information was extracted from the 16-day synthetic product data of Aqua and Terra (MYD13A1 and MOD13A1) in 2003. Soil moisture values were obtained from relatively high-quality ascending pass data collected by AMSR-E in May 2003. Therefore, based on the above data, the classification threshold of the decision tree was obtained using the Map of Frozen Soil in the Tibetan Plateau (1:3000000) and Map of the Glaciers, Frozen Soil and Deserts in China (1:4000000) as the a priori information. Based on the prosed method, the frozen soil types on the Tibetan Plateau were classified. The classification results were then verified and compared with the surveyed maps of frozen soil in the West Kunlun Mountains, revised maps, maps of hot springs and other existing frozen soil maps related to the Tibetan Plateau. Based on the Tibetan Plateau frozen soil map generated from the multi-source remote sensing information, the permafrost area accounts for 42.5% (111.3 × 104 km²), and the seasonally frozen soil area accounts for 53.8% (140.9 × 104 km²) of the total area of the Tibetan Plateau. This result is relatively consistent with the prior map (the 1:3000000 Map of Frozen Soil in the Tibetan Plateau). In addition, the overall accuracy and Kappa coefficient of the different frozen soil maps show that the frozen soil maps compiled or simulated by different methods are basically consistent in terms of the spatial distribution pattern, and the inconsistencies are mainly in the boundary areas between permafrost areas and seasonally frozen soil areas.
NIU Fujun, YIN Guoan
The data include soil organic matter data of Tibetan Plateau , with a spatial resolution of 1km*1km and a time coverage of 1979-1985.The data source is the soil carbon content generated from the second soil census data.Soil organic matter mainly comes from plants, animals and microbial residues, among which higher plants are the main sources.The organisms that first appeared in the parent material of primitive soils were microorganisms.With the evolution of organisms and the development of soil forming process, animal and plant residues and their secretions become the basic sources of soil organic matter.The data is of great significance for analyzing the ecological environment of Tibetan Plateau
FANG Huajun
This dataset contains daily 0.01°×0.01° land surface soil moisture products in the Qinghai-Tibet Plateau in 2005, 2010, 2015, 2017, and 2018. The dataset was produced by utilizing the multivariate statistical regression model to downscale the “SMAP Time-Expanded 0.25°×0.25° Land Surface Soil Moisture Dataset in the Qinghai-Tibet Plateau (SMsmapTE, V1)”. The auxiliary datasets participating in the multivariate statistical regression include GLASS Albedo/LAI/FVC, 1km all-weather surface temperature data in western China by Ji Zhou, and Lat/Lon information.
CHAI Linna, ZHU Zhongli, LIU Shaomin
This data set is the data set of Lake elements in Hoh Xil area of Qinghai Province, which records the main lake characteristics and water quality sampling and analysis data in detail. There are many lakes in Hoh Xil area of Qinghai Province, which is one of the concentrated distribution areas of lakes in Qinghai Tibet Plateau. The basic characteristics of Lake Development in this area are: large quantity, many types and complex structure. According to preliminary statistics, there are 107 lakes with an area of more than 1km2, with a total area of 3825km2 and a lake degree of about 0.05. The original data of the data set is digitized from the book "natural environment of Hoh Xil region in Qinghai Province", which includes 35 main lake characteristic data and 60 lake water chemical analysis data. This data set provides basic data for the study of Hoh Xil area in Qinghai Province, and has reference value for the research in related fields.
LI Bingyuan
The Qinghai-Tibetan Plateau (QTP), the largest high-altitude and low-latitude permafrost zone in the world, has experienced rapid permafrost degradation in recent decades, and one of the most remarkable resulting characteristics is the formation of thermokarst lakes. Such lakes have attracted significant attention because of their ability to regulate carbon cycle, water, and energy fluxes. However, the distribution of thermokarst lakes in this area remains largely unknown, hindering our understanding of the response of permafrost and its carbon feedback to climate change.Based on more than 200 sentinel-2A images and combined with ArcGIS, NDWI and Google Earth Engine platform, this data set extracted the boundary of thermokarst lakes in permafrost regions of the Qinghai-Tibet Plateau through GEE automatic extraction and manual visual interpretation.In 2018, there were 121,758 thermokarst lakes in the permafrost area of the Qinghai-Tibet Plateau, covering an area of 0.0004-0.5km², with a total area of 1,730.34km² respectively.The cataloging data set of Thermokarst Lakes provides basic data for water resources evaluation, permafrost degradation evaluation and thermal karst study on the Qinghai-Tibet Plateau.
CHEN Xu, MU Cuicui, JIA Lin, LI Zhilong, FAN Chenyan, MU Mei, PENG Xiaoqing, WU Xiaodong WU Xiaodong
This data is a simulated output data set of 5km monthly hydrological data obtained by establishing the WEB-DHM distributed hydrological model of the source regions of Yangtze River and Yellow River, using temperature, precipitation and pressure as input data, and GAME-TIBET data as verification data. The dataset includes grid runoff and evaporation (if the evaporation is less than 0, it means deposition; if the runoff is less than 0, it means that the precipitation in the month is less than evaporation). This data is a model based on the WEB-DHM distributed hydrological model, and established by using temperature, and precipitation (from itp-forcing and CMA) as input data, GLASS, MODIA, AVHRR as vegetation data, and SOILGRID and FAO as soil parameters. And by the calibration and verification of runoff，soil temperature and soil humidity, the 5 km monthly grid runoff and evaporation in the source regions of Yangtze River and Yellow River from 1998 to 2017 was obtained. If asc can't open normally in arcmap, please delete the blacks space of the top 5 lines of the asc file.
WANG Lei
Lake ice is an important parameter of the cryosphere, its change is closely related to the climate parameters such as temperature and precipitation, and can directly reflect the climate change, so it is an important indicator of the regional climate parameter change. However, because the research area is often located in the area with poor natural environment and few population, large-scale field observation is difficult to carry out, so sentinel 1 satellite data is used. The spatial resolution of 10 m and the temporal resolution of better than 30 days are used to monitor the changes of different types of lake ice, which fills the observation gap. Hmrf algorithm is used to classify different types of lake ice. Through time series analysis of the distribution of different types of lake ice in three polar regions with a part area of more than 25km2, a lake ice type data set is formed. The distribution of different types of lake ice in these lakes can be obtained. The data includes the serial number of the processed lake, the year in which it is located and the serial number in the time series, vector and other information. The data set includes the algorithm used, sentinel-1 satellite data used, imaging time, polar area, lake ice type and other information. Users can determine the changes of different types of lake ice in the time series according to the vector file.
Qiu Yubao, Tian Bangsen
This product is based on multi-source remote sensing DEM data generation. The steps are as follows: select control points in relatively stable and flat terrain area with Landsat ETM +, SRTM and ICESat remote sensing data as reference. The horizontal coordinates of the control points are obtained with Landsat ETM + l1t panchromatic image as the horizontal reference. The height coordinates of the control points are mainly obtained by ICESat gla14 elevation data, and are supplemented by SRTM elevation data in areas without ICESat distribution. Using the selected control points and automatically generated connection points, the lens distortion and residual deformation are compensated by Brown's physical model, so that the total RMSE of all stereo image pairs in the aerial triangulation results is less than 1 pixel. In order to edit the extracted DEM data to eliminate the obvious elevation abnormal value, DEM Interpolation, DEM filtering and DEM smoothing are used to edit the DEM on the glacier, and kh-9 DEM data in the West Kunlun West and West Kunlun east regions are spliced to form products.
ZHOU Jianming
