The third pole 1:100,000 range data set includes:Mountains(Tibet_Mountains)vector space data set and its attribute name:Name(Name)、Countries Name（CNTRY_NAME）、Countries Referred to as（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
The dataset of Antarctic mountains(1:1000000) includes vector spatial distribution data and some related attribute data: Name, Country name of the mountains , Country abbreviation, Latitude、 Longitude The data comes from the ADC World Map（1:1000000） global dataset, the data is topological, and it is the comprehensive, latest and seamless geographic digital data. The world map coordinate system is the latitude and longitude, WGS84 datum, and the Antarctic data set is the South Pole Stereographic.
ADC WorldMap
Arctic 1:100,000 mountains data set includes vector spatial distribution data and related attribute data of the Arctic_Mountains in the arctic range: Name, Name of the country where the mountains are located (CNTRY_NAME), abbreviation of the country where the mountains are located (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，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，Antarctic specific projection parameters（North_Pole_Stereographic）.
ADC WorldMap
Rainfall erosivity is one of the important basic data to quantify soil erosion in the Tibet Plateau. High precision rainfall erosivity data is the key to understand the current situation of soil and water loss in theTibet Plateau and formulate soil and water conservation measures. Meanwhile, it can provide a powerful reference for the prevention and control of geological disasters in the Tibet Plateau. Based on the 1-min dense precipitation observations and the grid precipitation product, a new annual rainfall erosivity dataset in Tibet Plateau from 1950 to 2020 is constructed through the steps of correction, reconstruction and validation. This dataset is the rainfall erosivity data set with the highest accuracy and the longest time series in the Tibet Plateau.
CHEN Yueli
To explore inorganic hydrochemical characteristics of the upper Yarlung Zangbo River, water samples were collected from the main stream and different tributaries in this region in August 2020. The water was collected with 100mL polyethylene (PE) plastic bottle, and the basic physical and chemical parameters such as pH value (±0.2) and dissolved oxygen (±1%) of the sampling site were measured by multi -parameter water quality monitor (YSI-EX02,USA).,and HCO3- concentration was titrated with 0.025mol/L HCl.The concentrations of Na+, K+, Ca2+, Mg2+, SO42-, NO3- and Cl- ions were analyzed and determined by ion chromatograph (Shenhan CIC-D160, China) in the laboratory. Using Gibbs model, correlation analysis and principal component analysis method, analyzed the one main ion concentration changes, chemical composition characteristics, analytical, and the ion source was designed to reveal inorganic water chemical characteristics of The Tibet plateau glacier melt water runoff, and for plateau typical river water and changing trend forecast provides the basis.
NIU Fengxia
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
(1) This data set contains a variety of heavy metal concentration data in multi-media, which is of great significance to explore the internal relationship between heavy metal pollution evaluation and heavy metal distribution in water; (2) The data source is to collect water, soil, crops and other samples from Huangshui River and its tributaries on the spot, send them to the laboratory for pretreatment, and complete the detection with relevant instruments; (3) The data set is of high quality and the sampling process is standardized. After collection, the samples are quickly stored in the - 4 ℃ refrigerator and sent to the laboratory for testing. The testing process is strictly carried out in accordance with relevant standards; (4) The data set can be mainly used for ecological risk and health risk assessment, spatial distribution analysis, source analysis, correlation analysis and so on.
ZHANG Fengsong
The data set of bacterial post-treatment products and conventional water quality parameters of some lakes in the third pole in 2015 collected the bacterial analysis results and conventional water quality parameters of some lakes in the Qinghai Tibet Plateau during 2015. Through sorting, summarizing and summarizing, the bacterial post-treatment products of some lakes in the third pole in 2015 are obtained. The data format is excel, which is convenient for users to view. The samples were collected by Mr. Ji mukan from July 1 to July 15, 2015, including 28 Lakes (bamuco, baimanamuco, bangoso (Salt Lake), Bangong Cuo, bengcuo, bieruozhao, cuo'e (Shenza), cuo'e (Naqu), dawaco, dangqiong Cuo, dangjayong Cuo, Dongcuo, eyaco, gongzhucuo, guogencuo, jiarehbu Cuo, mabongyong Cuo, Namuco, Nier CuO (Salt Lake), Norma Cuo, Peng yancuo (Salt Lake), Peng Cuo, gun Yong Cuo, Se lincuo, Wu rucuo, Wu Ma Cuo, Zha RI Nan Mu Cuo, Zha Xi CuO), a total of 138 samples. The extraction method of bacterial DNA in lake water is as follows: the lake water is filtered onto a 0.45 membrane, and then DNA is extracted by Mo bio powerOil DNA kit. The 16S rRNA gene fragment amplification primers were 515f (5'-gtgccagcmgcgcggtaa-3') and 909r (5'-ggactachvggtwtctaat-3'). The sequencing method was Illumina miseq PE250. The original data were analyzed by mothur software, including quality filtering and chimera removal. The sequence classification was based on the silva109 database. The archaeal, eukaryotic and unknown source sequences had been removed. OTU classifies with 97% similarity and then removes sequences that appear only once in the database. Conventional water quality detection parameters include dissolved oxygen, conductivity, total dissolved solids, salinity, redox potential, nonvolatile organic carbon, total nitrogen, etc. The dissolved oxygen is determined by electrode polarography; Conductivity meter is used for conductivity; Salinity is measured by a salinity meter; TDS tester is used for total dissolved solids; ORP online analyzer was used for redox potential; TOC analyzer is used for non-volatile organic carbon; The water quality parameters of total nitrogen were obtained by Spectrophotometry for reference.
YE Aizhong
The data source of this data set is the European Space Agency (ESA) multispectral satellite Sentinel-2. It includes the annual mean data of CDOM and DOC of Qinghai Tibet Plateau lakes in 2017. Method of use: Based on the CDOM data of the measured sample points, the image reflectance information is extracted, the best prediction variable is selected through Pearson correlation analysis, and a multiple stepwise regression CDOM prediction model is constructed to obtain the CDOM results of the Qinghai Tibet Plateau water body. Because CDOM has a good correlation with DOC, DOC prediction results are calculated by CDOM. Adjustment R of the CDOM model of the final Qinghai Tibet Plateau ² Up to 0.81.
SONG Kaishan
This dataset contains in-situ lake level observations at Lumajiangdong Co, Memar Co，Camelot Lake and Jieze Caka on the western Tibetan Plateau. The lake water level was monitored by HOBO water level logger (U20-001-01) or Solist water level logger, which was installed on the lake shore. Lake level data was then calibrated by using the barometer installed near the lake. Then the real water level changes were obtained. The accuracy was less than 0.5 cm. The items of this dataset are as follows: Daily lake level changes at Lumajiangdong Co from 2016 to 2021; Daily lake level changes at Memar Co from 2017 to 2019 and from 2020 to 2021; Daily lake level changes at Luotuo Lake from 2019 to 2020. Daily lake level changes at Jieze Caka Lake from 2019 to 2020. Water level, unit: m.
LEI Yanbin
In the summer of 2020, the water samples from 26 lakes were collected mainly in the southern and eastern Tibetan Plateau. At the same time, the water samples from 3 lakes in the Hoh Xil region were collected from October to November 2020. Put the collected lake water samples into plastic bottles. Some samples are titrated on-site with an alkalinity kit to obtain the concentration of CO32- and HCO3- ions. The rest samples are stored in the refrigerator. After they are brought back to the laboratory, the concentration of main cations K+, Na+, Ca2+, Mg2+ is tested by ICP-OES, and the concentration of HNO -, SO42-, F- and Cl- ions are meastured by anion chromatography.
MENG Xianqiang
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