The data set contains time series data on rural electronic power, irrigated area, and fertilizer application in Tibet from 1992 to 2016. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. The table contains 7 fields. Field 1: Districts and counties Field 2: Year Field 3: Number of township hydropower stations Field 4: Capacity of township hydropower stations, unit: 10,000 kilowatt Field 5: Electricity consumption in rural areas, unit: 10,000 kW/h Field 6: Fertilizer application amount, unit: ton Field 7: Effective irrigation area, unit: 1000 hectares
National Bureau of Statistics
The data set contains time series data on the output values of the agricultural, forestry, animal husbandry, fishery and industrial sectors in Tibet from 1959 to 2016 and features tables that contain the output values of the agricultural, forestry, animal husbandry and fishery sectors in each county, the output values of the agricultural, forestry, animal husbandry, fishery and industrial sectors in each county, and the total output values of the agricultural, forestry, animal husbandry and fishery sectors. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of the output values of the agricultural, forestry, animal husbandry and fishery sectors in each county contains 3 fields. Field 1: Year of the data Field 2: Districts and counties included in the data Field 3: The output values of the agricultural, forestry, animal husbandry and fishery sectors in each year, unit: 10,000 yuan. Table 2: The table of the output values of the agricultural, forestry, animal husbandry, fishery and industry sectors in each county contains 9 fields. Field 1: Year of the data Field 2: Districts and counties included in the data Field 3: Total output value of agriculture, forestry, animal husbandry and fishery, unit: 10,000 yuan Field 4: Agriculture, unit: 10,000 yuan Field 5: Forestry, unit: 10,000 yuan Field 6: Animal husbandry, unit: 10,000 yuan Field 7: Fishery, unit: 10,000 yuan Field 8: Service Industry, unit: 10,000 yuan Field 9: Other industry, unit: 10,000 yuan Table 3: The table of the total output values of the agricultural, forestry, animal husbandry and fishery sectors contains 7 fields. Field 1: Year of the data Field 2: Total output value, unit: 10,000 yuan Field 3: Agriculture, unit: 10,000 yuan Field 4: Forestry, unit: 10,000 yuan Field 5: Animal husbandry, unit: 10,000 yuan Field 6: Fishery, unit: 10,000 yuan Field 7: Agriculture, forestry, animal husbandry, fishery and service industry, unit: 10,000 yuan
National Bureau of Statistics
The data set describes the per capita main economic indicators in Tibet from 1965 to 2016, including time series data on the regional GDP, gross agricultural output value, gross industrial output value, grain production, total retail sales of consumer goods, savings account balances, per capita net income of farmers and herdsmen, and per capita net income of employees in the district. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of the main per capita economic indicators contains 9 fields. Field 1: Year of the data Field 2: Regional GDP, unit: yuan Field 3: Gross agricultural output value, unit: yuan Field 4: Gross industrial output, unit: yuan Field 5: Grain production, unit: kilograms Field 6: Total retail sales of consumer goods, unit: yuan Field 7: Savings account balance, unit: yuan Field 8: Per capita net income of farmers and herdsmen, unit: yuan Field 9: Per capita net income of employees in the district, unit: yuan Table 2: The table of per capita indicators in each county contains 6 fields. Field 1: Districts and counties Field 2: Year of the data Field 3: Per capita grain possession, unit: kilograms Field 4: Per capita GDP, unit: yuan Field 5: Per capita local fiscal revenue, unit: yuan Field 6: Savings account balance of urban and rural residents, unit: 10,000 yuan
National Bureau of Statistics
The data set contains data on the birth rate, mortality rate and natural growth rate in Tibet. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. The table contains 4 fields. Field 1: Year of the data Field 2: Birth rate, unit: ‰ Field 3: Mortality rate, unit:‰ Field 4: Natural growth rate, unit: ‰
National Bureau of Statistics
The data set contains three tables: demographic data for Tibet, demographic data for each county in Tibet, and data on rural workers. These time series data include the year-end total population, the number of men, the number of women, urban population, rural population, and statistics on workers in various rural industries in Tibet from 1967 to 2016. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of demographic data for Tibet contains 10 fields. Field 1: Year Field 2: Year-end total population, unit: 10,000 Field 3: Total number of men, unit: 10,000 Field 4: Male proportion, unit: % Field 5: Total number of women, unit: 10,000 Field 6: Female proportion, unit: % Field 7: Urban population, unit: 10,000 Field 8: Urban population proportion, unit: % Field 9: Rural population, unit 10,000 Field 10: Rural population proportion, unit: %. Table 2: The table of demographic data for each county contains 7 fields. Field 1: Districts and counties Field 2: Year Field 3: Year-end total number of households Field 4: Number of rural households Field 5: Year-end total population, unit: 10,000 Field 6: Rural population, unit: 10,000 Field 7: Year-end number of workers, unit: 10,000 Table 3: The table of rural workers contains 7 fields Field 1: Year Field 2: Districts and counties Field 3: Number of rural workers Field 4: Number of workers in the agricultural, forestry, animal husbandry and fishery sectors Field 5: Number of workers in the industrial sector Field 6: Number of workers in the construction sector Field 7: Number of other non-agricultural workers
National Bureau of Statistics
The data set contains data on the number and proportion of workers in various roles in primary, secondary, and tertiary industries in Tibet from 1980 to 2016. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. The table contains 8 fields. Field 1: Year of the data Field 2: The total number of workers, unit: 10,000 Field 3: Number of workers in the primary industry, unit: 10,000 Field 4: Number of workers in the secondary industry, unit: 10,000 Field 5: Number of workers in the tertiary industry, unit: 10,000 Field 6: Proportion of the primary industry, unit: % Field 7: Proportion of the secondary industry, unit: % Field 8: Proportion of the tertiary industry, unit: %
National Bureau of Statistics
The data set contains data on the total retail sales of consumer goods and the aggregated time series data for cities and counties in Tibet from 1993 to 2016. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. The table contains 5 fields. Field 1: Year of the data Field 2: Total retail sales, unit: 10,000 yuan Field 3: Total retail sales in cities, unit: 10,000 yuan Field 4: Total retail sales in counties, unit: 10,000 yuan Field 5: Total retail sales in administrative regions below the county level, unit: 10,000 yuan
Tibet Autonomous Region Provincial Bureau of Statistics
The data set contains two tables: the table of crop planting area and the table of crop planting area in counties over time. These tables present the statistics of the planting area of various crops and the planting areas in counties in Tibet from 1951 to 2016. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of crop planting area contains 14 fields. Field 1: Year of the data Field 2: The total crop planting area, unit: 1000 hectares Field 3: Grain crop planting area, unit: 1000 hectares Field 4: Hulless barley planting area, unit: 1000 hectares Field 5: Wheat planting area, unit: 1000 hectares Field 6: Winter wheat planting area, unit: 1000 hectares Field 7: Legume planting area, unit: 1000 hectares Field 8: Root and tuber crop planting area, unit: 1000 hectares Field 9: Oil crop planting area, unit: 1000 hectares Field 10: Rapeseed planting area, unit: 1000 hectares Field 11: Peanut planting area, unit: 1000 hectares Field 12: Other crop planting area, unit: 1000 hectares Field 13: Vegetable planting area, unit: 1000 hectares Field 14: Silage crop planting area, unit: 1000 hectares Table 2: The table of crop planting area in each county over time contains 7 fields. Field 1: Year of the data Field 2: Districts and counties included in the data Field 3: Crop planting area, unit: 1000 hectares Field 4: Grain crop planting area, unit: 1000 hectares Field 5: Grain planting area, unit: 1000 hectares Field 6: Legume planting area, unit: 1000 hectares Field 7: Oil crop planting area, unit: 1000 hectares
National Bureau of Statistics
The data set describes the social welfare and medical care statistics in Tibet over time. The data include the number of beds in hospitals, the number of social welfare institutions, and the number of beds in social welfare institutions. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. The table contains 6 fields. Field 1: Districts and counties Field 2: Year Field 3: Number of beds in hospitals per 10,000 people Field 4: Number of beds in hospitals Field 5: Number of social welfare institutions Field 6: Number of beds in social welfare institutions
National Bureau of Statistics
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 dataset contains land surface soil moisture products with SMAP time-expanded daily 0.25°×0.25°in Qinghai-Tibet Plateau Area. The dataset was produced based on the Random Forest method by utilizing passive microwave brightness temperature along with some auxiliary datasets. The temporal resolution of the product in 1980,1985,1990,1995 and 2000 is monthly, by using SMMR, SSM/I, and SSMIS brightness temperature from 19 GHz V/H and 37 GHz V channels. The temporal resolution of the product between June 20, 2002 and Dec 30, 2018 is daily, by utilizing AMSR-E and AMSR2 brightness temperature from 6.925 GHz V/H, 10.65 GHz V/H, and 36.5 GHz V channels. The auxiliary datasets participating in the Random Forest training include the IGBP land cover type, GTOPO30 DEM, and Lat/Lon information.
CHAI Linna ZHU Zhongli LIU Shaomin
Daily precipitation data was reconstructed for streamflow simulation in the entire UB by combining orographic and linear correction approaches based on 262 gauge observations. The reconstructed precipitation is used to drive the VIC hydrological model linked with a temperature-index model (VIC-Glacier) , and is inversely evaluated by comparing with observed discharge, glacier area changes, and MODIS-based snow cover faction (SCF) data in the upper Brahmaputra Basin.
SU Fengge SUN He
"One belt, one road" delineation of the key Asian regional watershed boundaries is based on the following principles: Principle 1: along the Silk Road Principle 2: located in arid and semi-arid areas Principle 3: high water risk Principle 4: watershed integrity 1. Division basis of arid area Food and Agriculture Organization of the United Nations. FAO GEONETWORK. Global map of aridity - 10 arc minutes (GeoLayer). (Latest update: 04 Jun 2015) Accessed (6 Mar 2018). URI: http://data.fao.org/ref/221072ae-2090-48a1-be6f-5a88f061431a.html?version=1.0 2. Water resources risk data: Gassert, F., M. Landis, M. Luck, P. Reig, and T. Shiao. 2014. Aqueduct Global Maps 2.1. Working Paper. Washington, DC: World Resources Institute. 3. Poverty index data: Elvidge C D, Sutton P C, Ghosh T, et al. A global poverty map derived from satellite data. Computers & Geosciences, 2009, 35(8): 1652-1660. https://www.ngdc.noaa.gov/eog/dmsp/download_ poverty.html 4. Basic basin boundary data: (1) Watershed boundaries were derived from HydroSHEDS drainage basins data (Lehner and Grill 2013) based on a grid resolution of 15 arc-seconds (approximately 500 m at the equator), which can be free download via https://hydrosheds.cr.usgs.gov/hydro.php (2) AQUASTAT Hydrological basins: This dataset is developed as part of a GIS-based information system on water resources. It has been published in the framework of the AQUASTAT - programme of the Land and Water Division of the Food and Agriculture Organization of the United Nations. The map is also available in the SOLAW Report 15: “Sustainable options for addressing land and water problems – A problem tree and case studies”. Data can be free download via http://www.fao.org/nr/water/aquamaps/ (3) HydroBASINS: https://www.hydrosheds.org/downloads 5. The GloRiC provides a database of river types and sub-classifications for all river reaches globally. https://www.hydrosheds.org/page/gloric 6. HydroATLAS offers a global compendium of hydro-environmental sub-basin and river reach characteristics at 15 arc-second resolution. https://www.hydrosheds.org/page/hydroatlas It covers an area of 1469400 square kilometers, including the following areas: Nujiang River Basin, Dead Sea basin, Sistan River Basin, Yellow River Basin, Jordan Syria eastern basin, Indus River Basin, Iran inland flow area, urmiya Lake Basin, Shiyang River Basin, hallelud mulgarb River Basin, Lianghe River Basin, Shule River Basin, Heihe River Basin, issekkor Lake Basin, Tata River Basin Limu River Basin, Turpan Hami basin, Ebinur Lake Basin, Junggar basin, Amu Darya River Basin, Manas River Basin, ulungu River Basin, Emin River Basin, Chu River Talas River Basin, Xil River Basin, Ili River Basin, Caspian Sea basin, Lancang River Basin, Yangtze River Basin, Qinghai lake water system, Eastern Qaidam Basin, western Qaidam Basin and Qiangtang plateau District, Yarlung Zangbo River Basin
RAN Youhua WANG Lei ZENG Tian GE Chunmei LI Hu
This dataset is Meteorologic Elements Dataset of XDT on Qinghai-Tibet Plateau 2014-2018. Meteorologic elements including: 2m air temperature(℃), 2m air humidity(%), precipitation(mm), 2m wind speed(m/s), global radiation(w/㎡). The data are from the XiDaTan monitoring site(site code: XDTMS) of Cryosphere Research Station on Qinghai-Tibat Plateau, Chinese Academy of Sciences(CRS-CAS). These daily data was calculated from the original monitoring data(monitoring frequency is 30min). The missing part of the daily data was marked by NAN, which were manually collated and verified. The missing period was from 2017-7-7 to 2017-10-3.
ZHAO Lin
The data set contains the off-line sampling data of medium flow aerosols from Shiquanhe national climate station (32 ° 30'n, 80 ° 05'e, altitude 4278.6 m) in Ali Region. The measuring instrument is Laoying 2030 medium flow sampler. The quartz filter membrane samples of PM2.5, PM10 and TSP with a diameter of 90 mm are collected. The samples will be used for chemical components such as elemental carbon, organic carbon, water-soluble ions and metal elements analysis. The sampling period is from July 7, 2019 to August 2, 2019, starting at 09:00 every day, with a total of 81 samples for 23 hours each time. The data is stored in Excel file.
HUANG Jianping ZHANG lei TIAN Pengfei SHI Jinsen
The data set contains the scattering coefficients of PM2.5 (particles less than 2.5 μ m) at 450nm, 550nm and 700nm at Shiquanhe national climate station (32 ° 30'n, 80 ° 05'e, altitude 4278.6 m). The measuring instrument is tsi-3563 integral turbidimeter, the observation period is from July 8, 2019 to August 2, 2019, and the time resolution is 10 seconds. It can be used to study the dependence of PM2.5 scattering coefficient on the wavelength of incident light, which can reflect the particle size distribution of PM2.5.
HUANG Jianping ZHANG lei TIAN Pengfei SHI Jinsen
The data set contains the scattering and absorption coefficients of PM2.5 (particles with particle size less than 2.5 μ m) in the atmosphere of Shiquanhe national reference climate station (32 ° 30'n, 80 ° 05'e, altitude 4278.6 m) in Ali Region. The measurement instrument is photoacoustic extinctiomer (pax), the observation period is from July 13, 2019 to August 2, 2019, and the time resolution is 1 minute. The data set can be used to study the scattering and absorption characteristics of PM2.5 over the Tibetan Plateau.
HUANG Jianping ZHANG lei TIAN Pengfei SHI Jinsen
The data set contains the mass concentration of PM2.5 (particulate matter less than 2.5 μ m) in the atmosphere of Shiquanhe national reference climate station (32 ° 30'n, 80 ° 05'e, altitude 4278.6 m). The measuring instrument is RP 1400A vibrating balance micro balance (TEOM). The observation period is from July 8, 2019 to August 2, 2019, and the time resolution is 1 minute. The data is stored in TXT format.
HUANG Jianping ZHANG lei TIAN Pengfei SHI Jinsen
The data set contains the number concentration and size distribution spectrum of particles in the atmosphere of Shiquanhe national climate station (32 ° 30'n, 80 ° 05'e, elevation 4278.6 m) in Ali Region. The instrument is tsi-3321 aerodynamic particle size spectrometer (APS), with 52 particle size channels. The observation period is from July 7, 2019 to August 2, 2019, and the time resolution is 5 minutes. The size distribution spectra of aerosol volume concentration and mass concentration can be obtained by using the data, aerosol spherical hypothesis and aerosol density, and then the characteristics of aerosol particle size distribution in the northwest of Qinghai Tibet Plateau can be studied.
HUANG Jianping ZHANG lei TIAN Pengfei SHI Jinsen
The data includes the daily mean value of stable isotope δ18O in precipitation, the air temperature and precipitation amounts in Bomi in 2018; the precipitation samples are collected by Bomi meteorological station, and the stable isotope of precipitation is measured at the Laboratoire des Sciences du Climat et de l’Environnement, France., The δ18O amounts were measured by equilibration on a MAT-252 mass spectrometer, with an analytical precision of 0.05‰. The air temperatures and precipitation amounts were recorded for each precipitation events at Bomi meteorological stations, through the average of the observed temperature before and after the precipitation event, and through the total precipitation amount for each event. The data study has been published in the Journal of Climate, entitled Precipitation Water Stable Isotopes in the South Tibetan Plateau: Observations and Modeling.
Jing Gao
