Normalized Difference Vegetation Index (NDVI) has been widely used for monitoring vegetation. This dataset employed all available Landsat 5/7/8 data on the Qinghai-Tibetan Plateau (QTP) (> 100,000 scenes), and reconstructed high spatiotemporal NDVI time-series data (30-m and 8-d) during 2000-2020 on the TP (QTP-NDVI30) by using the MODIS-Landsat fusion algorithm (gap filling and Savitzky–Golay filtering；GF-SG). For the details of GF-SG, please refer to Chen et al. (2021). This dataset has been evaluated carefully. The quantitative assessments show that the reconstructed NDVI images have an average MAE value of 0.02, correlation coefficient of 0.96, and SSIM value of 0.94. We compared the reconstructed images in some typical areas with the PlanetScope 3-m images and found that the spatial details were well preserved by QTP-NDVI30. The geographic coordinate system of this dataset is GCS_WGS_84. The spatial range covers the vegetation area of the QTP, which is defined as the areas with average NDVI during July- September larger than 0.15.
CAO Ruyin , XU Zichao , CHEN Yang , SHEN Miaogen , CHEN Jin
Mountain glaciers are important freshwater resources in Western China and its surrounding areas. It is at the drainage basin scale that mountain glaciers provide meltwater that humans exploit and utilize. Therefore, the determination of glacierized river basins is the basis for the research on glacier meltwater provisioning functions and their services. Based on the Randolph glacier inventory 6.0, Chinese Glacier Inventories, China's river basin classifications (collected from the Data Centre for Resources and Environmental Sciences, Chinese Academy of Sciences), and global-scale HydroBASINS (www.hydrosheds.org), the following dataset was generated by the intersection between river basins and glacier inventory: (1) Chinese glacierized macroscale and microscale river basins; (2) International glacierized macroscale river basin fed by China’s glaciers; (3) Glacierized macroscale river basin data across High Mountain Asia. This data takes the common river basin boundaries in China and the globe into account, which is poised to provide basic data for the study of historical and future glacier water resources in China and its surrounding areas.
SU Bo
This dataset include major, trace, neodymium and strontium isotope geochemical data of 72 riverine sand samples from the Yarlung Tsangpo-Brahmaputra-Ganges river system, including 48 samples from the Yarlung Tsangpo River and its tributaries, 19 samples from the Brahmaputra River and its tributaries, and 5 samples from the Ganges River. The major elements include SiO2, Al2O3, Fe2O3 and other 7 elements from all 72 samples, expressed as percentage of oxides; trace elements include Li, Be, Sc and other 41 elements from 30 samples, expressed as parts per million (ppm); neodymium isotope data includes 143Nd/144Nd ratios and their error values from 26 samples; while strontium isotope data includes 87Sr/86Sr ratios and their error values for 26 samples. The main elements were analyzed using a PANalytical Axios X-ray fluorescence analyzer (XRF), with testing errors <3%; trace elements were tested using a Thermo Fisher VG-X7 inductively coupled plasma mass spectrometer (ICP-MS), with testing errors <5%; Nd and Sr isotopes were tested using a Thermo Fisher NEPTUNE plus multi-collector inductively coupled plasma mass spectrometer (MC-ICP-MS), with deviations of <0.005% for Sr and <0.004% for Nd isotopes relative to the reference values of the international standards. All the above laboratory tests were performed at the State Key Laboratory of Marine Geology, Tongji University. The data are of both scientific and social importance for understanding the tectonic activity, chemical weathering, and source-to-sink transport of riverine sediments in large drainage basins from the Tibetan Plateau, as well as for assessing the inter-relationship between natural processes and human activities.
LIU Zhifei , ZHAO Yulong , YU Mingyang , LIN Baozhi , ZAKIR HOSSAIN H.M, TARAL Suchana , CHAKRABORTY Tapan
This data set contains the data of Himalayan river system network and small watershed distribution. The water network data is extracted according to the national level 6 river network data of Haihe edition and the Himalayan range mask, which is vector data. The water system can be used to determine the basin area and calculate the characteristic parameters of the water system, such as river network density, river system development coefficient, river system non-uniformity coefficient, etc. it can also be used as flood confluence path routing. The distribution data of small watersheds is the distribution data of 1:1 million small watersheds in the Himalayas. Based on the national mountain flood disaster investigation and evaluation results, the concentration time distribution of small watersheds in the study area is obtained to form the concentration time distribution data of small watersheds in the Himalayas.
WANG Zhonggen
The China Pakistan Economic Corridor and Tianshan Mountain region belong to subtropical grassland, desert climate and warm temperate continental arid climate, with less River precipitation supply. The rivers in the northern mountain area are supplied by glacial snow melt water. Located in the Indus River Basin, the upper reaches of the Indus River have developed water systems, including the main stream of the Indus River, Jhelum River and Chenab River in the west of the left bank. This data set is a water system map of the Qinghai Tibet Plateau. Water system is an important natural factor. Its development, shape and distribution are the result of the comprehensive action of many factors. The classification of rivers is based on the most typical characteristics of water systems, so the coding of water systems takes full account of the classification of water systems and other characteristics of rivers. The data of foreign rivers come from natural earth. All rivers are subject to manual smoothing and position adjustment to adapt to the shadow terrain generated by SRTM plus elevation data.
QIU Haijun
This data set is extracted according to the mask of Sichuan Tibet line and surrounding areas according to the data of 1:250000 river water system in three-level watershed of Qinghai Tibet Plateau (2012), which is vector data. Geographic coordinate system: GCS_ China_ Geodetic_ Coordinate_ System_ 2000； Spatial accuracy: scale 1:250000. The data can be opened and used by ArcGIS, envi or other geographic information systems and remote sensing software. Water system can be used to divide small watersheds, determine the watershed area, and calculate the characteristic parameters of water system, such as river network density, river system development coefficient, river system non-uniformity coefficient, etc. it plays an important role in the field of hydrology.
WANG Zhonggen
Through the semi-quantitative collection method, benthos research was carried out in 22 lakes in the core area of Qiangtang and Yamzho Lake in the summer of 2020. The relative abundance data of Zoobenthos in alpine lakes in Tibet were obtained by the mixed sampling of littoral and deep-water communities. The results of this data show that among the 6420 selected benthos, 28 species of benthos are identified, belonging to 3 phyla and 7 classes, of which the main benthic groups are gammarus and chironomid, and the dominant species in a few lakes are water beetles. This data improves the recognition accuracy and cognitive range of Zoobenthos in Tibet and will provide a reference for the evaluation of aquatic animal diversity and fishery resources in plateau lakes.
TANG Hongqu
The data are the detrital zircon ages of the late Cretaceous early Cenozoic strata in Sichuan Basin, Xichang Basin, Huili basin and Chuxiong Basin on the eastern margin of the Qinghai Tibet Plateau; All detrital zircon samples collected in this study are sandstone. The crushing and zircon selection of samples were completed in Langfang Chengxin Geological Service Co., Ltd; Zircon U-Pb dating was done at the State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). At least 200 zircon grains were randomly selected to adhere to double-sided adhesive, and were poured into the laser sample target with epoxy resin. All samples were ablated by using a laser beam with a diameter of 28μm, a frequency of 10 Hz and laser energy density of 4.0J/cm 2 .
ZHANG Huiping
Dasuo River Basin is the catchment area of Dasuo River. The basin is located in the north slope of central Himalaya and situated in Nyalam County, Tibet Autonomous Region, China. The Dasuo River originates from Dasuopu Glacier of Mount Xixabangma. It converges with Zedang River to form the Naduore River, which is the main tributaries in the upper reaches of Pengqu River. The geo-location of the Dasuo River Basin is 28°20'53"-28°35'17"N, 85°42'29″-85°48'50″E. The length and width of the Dasuo River Basin are 25 km and 8 km, respectively. The Dasuo River Basin has a total area of about 88.64 km² and the perimeter is 73.43 km. The elevation of the Dasuo River Basin ranges from 5006 m to 8027 m and the average elevation is 5909 m. Over three quarters of this region is above 5500 m. The dataset was developed based on the scale 1:100,000 topographic map, 12.5 m resolution DEM, Google Earth images, together with the field survey. The dataset is archived in .kmz and .shp data formats, and consists of 17 data files with 296 KB (Compressed into 2 files with 133 KB).
GU Changjun
Third Pole 1:100,000 airport and runway data set include：airport（Tibet_Airport）and(Tibet_Airport_runways) vector space data set and its attribute name:Airport name(Name）、Name of airport（CNTRY_NAME）、Airport country abbreviation（CNTRY_CODE）、latitude（LATITUDE）、longitude（LONGITUDE）. The data comes from the 1:100,000 ADC_WorldMap global data set，The data through topology, warehousing and other data quality inspection，Data through the topology, into the library，It's comprehensive, up-to-date and seamless geodigital data. The world map coordinate system is latitude and longitude, D_WGS_1984 datum surface
ADC WorldMap
Antarctic 1:100,000 airport distribution data set includes vector space data and related attribute data of airports (Antarctic_Airport) and airport runways (Antarctic_Airport_runways)：Airport Name(Name), airport country Name（CNTRY_NAME）, airport country abbreviation（CNTRY_CODE）, LATITUDE, LONGITUDE. The data comes from the 1:100,000 ADC_WorldMap global data set，The data through topology, warehousing and other data quality inspection，Data through the topology, into the library，It's comprehensive, up-to-date and seamless geodigital data. The world map coordinate system is latitude and longitude, WGS84 datum surface，Antarctic specific projection parameters（South_Pole_Stereographic）.
ADC WorldMap
Arctic 1:100,000 airport distribution data set includes vector space data and related attribute data of airports (Arctic_Airport) and airport runway (Arctic_Airport_runways) in the arctic range: airport Name, airport country Name, airport country abbreviation (CNTRY_CODE), LATITUDE and LONGITUDE. The data comes from the 1:100,000 ADC_WorldMap global data set, which is a comprehensive, up-to-date and seamless geographic digital data after the data quality inspection of topology, warehousing and other data. The world map coordinate system is latitude and longitude, WGS84 datum surface, and the arctic data set is the special projection parameter for the arctic (North_Pole_Stereographic).
ADC WorldMap
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