This data set contains the selection criteria and database of international fragile ecosystem national parks. Typical countries such as the United States, Canada, Australia, New Zealand, Norway, Sweden, South Africa and Tanzania are selected as representatives Table 1 includes: selection criteria for different levels, including 4 indicators for the first level, 16 indicators for the second level, and 72 indicators for the third level; Table 2 includes the list of national parks in typical countries such as the United States, Canada, Australia, New Zealand, Norway, Sweden, South Africa, Tanzania and other typical countries, and the selected indicators include the country, the name of the National Park, the protected time and supervision time, area, description, IUCN management type, governance type, management organization and international standards.
This data set includes the information of 21 conventional meteorological observation stations in Heihe River Basin and its surrounding areas, of which Wutonggou and Quixote stations have been cancelled in the 1980s, and other stations have operated since the establishment of the station. Station name, longitude and latitude 1. Mazong mountain 97.1097 41.5104 2. Yumen town 97.5530 39.8364 3. Wutonggou 98.3248 40.4697 4. Jiuquan 98.4975 39.7036 5. Jinta 98.9058 39.9988 6. Dingxin 99.5117 40.3080 7. Gaotai 99.7907 39.3623 8. Linze 100.165 39.1385 9. Sunan 99.6178 38.8399 10. Yeniugou 99.5830 38.4167 11. Tole 98.0147 39.0327 12. Ejina Banner 101.088 41.9351 13. Guaizi Lake 102.283 41.3662 14. Zhangye 100.460 38.9124 15. Shandan 101.083 38.7746 16. Folk music 100.826 38.4376 17. Alxa Right Banner 101.429 39.1407 18. Yongchang 101.578 38.1771 19. Qilian 100.238 38.1929 20. Gangcha 100.111 37.2478 21. Menyuan 101.379 37.2513 22. Gekkot 99.7063 41.9183 23. Jiayuguan 98.2241 39.7975
Basic Geographic Data Set of Resources and Environment in Central and Western Asia Region, includes six parts: administrative divisions map, topographic and geomorphological map, river system maps, precipitation map, temperature map and potential evapotranspiration map. The precipitation and temperature datasets are interpolated based on the ground observations, while the potential evapotranspiration dataset is calculated based on the Penman-Monteith equation. The precipitation, temperature and potential evapotranspiration datasets are resampled from the original 0.5° CRU dataset by using the linear interpolation method in ArcGIS software. This dataset is made based a large number of gauge observations with good quality control and homogeneity check. The results of the related studies (Deng and Chen, 2017; Li et al., 2017; Li et al., 2016) suggested that this dataset is applicable and satisfactory for the climatological studies. The data produced by the key laboratory of remote sensing and GIS, Xinjiang institute of ecology and geography, Chinese Academy of Sciences. Data production Supported by the Strategic Priority Research Program of Chinese Academy of Sciences, Grant No. XDA20030101.
The data set of 1:100,000 settlements in the Arctic includes all settlements in the North Pole (Arctic_Resident), capital settlements (Arctic_Capitals), Cities_up_to_75K settlements and other vector spatial data and related attribute data: urban name (ENG_NAME), CITY_POP and other properties. The data comes from the 1:100,000 ADC_WorldMap global data set，The data through topology, warehousing and other data quality inspection，It's most comprehensive, current and seamless geographic digital data for the whole earth. The world map coordinate system is latitude and longitude, WGS84 datum surface，Arctic specific projection parameters（North_Pole_Stereographic）.
The Central Asia climate data set comes from three recently developed global reanalysis data sets. Merra uses the latest version of the global earth observation system (GEOS-5), which can absorb satellite radiation and conventional observations. Era interim is a global land surface reanalysis data set, which is generated at T255 (80km) horizontal resolution. The product update is about one month delayed from real-time. CFSR is one of the latest global reanalysis climate data sets, which has been widely used in climate change research. These datasets have different spatial resolutions and cover 1979-2014. Atmospheric reanalysis data is driven by a variety of data, combined with observation data under strict quality control, using data assimilation techniques and numerical prediction models to obtain historical observation data. In recent years, the new generation of historical reanalysis data is suitable for studying the climate pattern of Central Asia with high spatial heterogeneity of precipitation and complex topography due to its high spatial resolution. More accuracy verification and applicability of this data can be referred to: Hu Z , Zhang C , Hu Q , et al. Temperature Changes in Central Asia from 1979 to 2011 Based on Multiple Datasets*[J]. Journal of Climate, 2014, 27(3):1143-1167.
This dataset includes the concentrations and spatial pattern of mercury (Hg) in the foliage of the local tree species over the easteran and the southern Tibetan Plateau. Fifty-three leaf samples were collected, and cold vapor atomic fluorescence spectrophotometry (CVAFS) was used to analyse the Hg contents. The limit of detection (LOD) for this method is 1.8 ng/g. The standard reference material, foliage GB GSW-11, which is supplied by National Institute of Metrology P.R.China, was also analyzed for assessing the accuracy of this method, and the recoveries of this method were 94.6%±9.7%. This dataset will provide the informations of foliage absoprtion to Hg over the Tibetan Plateau.
The data set analyzes the spatial and temporal distribution, impact and loss of typical global flood disasters from 2018 to 2019. In 2018, there were 109 flood disasters in the world, with a death toll of 1995. The total number of people affected was 12.62 million. The direct economic loss was about 4.5 billion US dollars, which was at a low level in the past 30 years. The number of global flood incidents in 2018 was higher in the first half of the year than in the second half of the year, and the frequency of occurrence was higher from May to July. Therefore, based on three typical disaster events such as the hurricane flood in Florence in the United States in 2018, the flooding of the Niger River in Nigeria in 2018, and the Shouguang flood in Shandong Province in 2018, the disaster background, hazard factors, and disaster situation were analyzed. .
This data originates from the National Geographic Information Resources Catalogue Service System, which was provided free to the public by the National Basic Geographic Information Center in November 2017. We have spliced and cut the source of the three rivers as a whole, so as to facilitate the use of the study of the source area of the three rivers. The data trend is 2015. This data set includes 1:250,000 natural place names (AANP) in Sanjiangyuan area, including traffic element names, memorial sites and historic sites, mountain names, water system names, marine geographical names, natural geographical names, etc. Natural Place Name Data (AANP) Attribute Item Names and Definitions: Attribute Item Description Fill in Example NAME Name Ramsay Laboniwa PINYIN Chinese Pinyin Lamusailabaoniwa CLASS Toponymic Classification Code HB
This data comes from the National Geographic Information Resources Catalogue Service System, which was provided free to the public by the National Basic Geographic Information Center in November 2017. We have spliced and cut the source of the three rivers as a whole, so as to facilitate the use of the study of the source area of the three rivers. The data trend is 2015. This data set includes 1:250,000 residential place names (AANP) in Sanjiangyuan area, including administrative place names at all levels and urban and rural residential place names. Names and Definitions of Attribute Items of Residential Place Name Data (AANP): Attribute Item Description Fill in Example NAME Name Quanqu Village PINYIN Chinese Pinyin Quanqucun CLASS Geographical Name Classification Code AK GNID Place Name Code 632524000000 XZNAME Township Name Ziketan Township
Geladaindong ice core records could provide a unique opportunity for studying climatic and environmental changes in the central TP. Based on a 147 m deep ice core drilled by the Sino-US Cooperation Expedition in 2005 at Mt. Geladaindong, we analyzed oxygen and major ion by using MAT253 isotope mass spectrometer and Ion Chromatograph. Multiparametric dating approach is adopted to establish an accurate chronology. Glaciochemical records were reconstructed to reveal the annual climatic and environmental changes during the period of 1477~1982 AD.