The Second Tibetan Plateau Scientific Expedition (STEP) program

Brief Introduction: Second Tibetan Plateau Scientific Expedition Program

Number of Datasets: 304

  • Meteorological observation data of Selincuo Lake camp (2017)

    Meteorological observation data of Selincuo Lake camp (2017)

    This is the meteorological observation data of Selincuo Lake Camp. It includes the radiosonde data, turbulent flux, radiation observation data, general meteorologrical elements near the surface layer and others. The radiosonde data is observed separately at 14:00 and 18:00 July 2, at 8:00, 12:00, 16:00 and 20:00 July 3, at 8:00, 12:00, 16:00, 20:00, and 23:00 July 4, at 6:00 July 5, 2017. The observation time of turbulent flux and radiation observation data is from 17:30 June 29 to 10:00 July 6, 2017. The observation time of general meteorologrical elements near the surface layer is from 18:30 June 29 to 10:10 July 6, 2017. The wind lidar observation time is from 2:24 June 30 to 3:49 July 6, 2017. The data is stored as an excel file.

    2019-11-18 3111 26

  • Zircon (U-Th) / He age data of Cretaceous denudation cooling events in the Qiangtang block

    Zircon (U-Th) / He age data of Cretaceous denudation cooling events in the Qiangtang block

    The samples are well qiangke-1, well qiangdi-17 and well qiangzi-16. The analysis and testing work was completed in the laboratory of AR, u-th-he geochronology, Institute of Geology and Geophysics, Chinese Academy of Sciences. See Wu Lin et al. (2016) for testing methods. The results are as follows: the zircon (U-Th) / He ages of 9 samples from three boreholes in the Qiangtang block in the Qinghai Tibet Plateau, except that the thermal history information of two samples from Eocene has not been reset, the rest of the samples are concentrated in Cretaceous, and the age values change little with elevation, indicating the existence of Cretaceous denudation cooling. Well qd-17 in the west of the Qiangtang block recorded denudation cooling in the early Cretaceous (about 127-114 MA), and well qz-16 in the East recorded denudation cooling in the late Cretaceous (about 92-64 MA). The denudation and cooling of the Cretaceous resulted in the statistics of regional low temperature thermochronology and the response of tectonic sedimentary events. The low-temperature thermochronological data of the Qiangtang block, Lhasa block and Himalayan block show that the Cretaceous early Eocene low-temperature thermochronological ages are widely distributed in the Northern Lhasa block and Qiangtang block (within the plateau), while the late Miocene low-temperature thermochronological ages are widely distributed in the southern Lhasa block to Himalayan block (southern margin of the plateau), This age distribution pattern suggests that the interior and southern margin of the plateau experienced different erosion cooling histories. Referring to the rapid denudation cooling process in the southern margin of the plateau since late Miocene, it is speculated that there was a Cretaceous rapid denudation cooling event in the interior of the plateau. Early Cretaceous depositional discontinuities and unconformities occurred widely in the Northern Lhasa block, Qiangtang block and its northern area, which also indicated rapid denudation during Cretaceous. Combined with the analysis of regional tectonic evolution, the Cretaceous denudation cooling may be the result of the collision between the Lhasa block and Qiangtang block after the closure of the Bangong Lake Nujiang ocean in Early Cretaceous, which indicates that there may have been obvious shortening, thickening deformation and corresponding denudation cooling in the crust of the plateau before the Cenozoic India Eurasia collision.

    2021-06-19 208 5

  • Dataset of water quality investigation in the key urbanized area of Tibetan Plateau (2020)

    Dataset of water quality investigation in the key urbanized area of Tibetan Plateau (2020)

    The dataset of water quality investigation in the urbanized area of Tibetan Plateau mainly includes the investigation data of water quality in the Huangshui River Basin and other key urban areas of Tibetan Plateau. The data were collected during July-August, 2020, by Hash DR900 water quality monitor. The datasets include the measured water quality of each reach of the Huangshui River, and the upstream and downstream of rivers that flow through major towns on the Tibetan Plateau. The main parameters include: total nitrogen, total phosphorus, ammonia nitrogen, chemical oxygen demand, dissolved oxygen content, pH, hardness, turbidity and chroma. To note, the chemical indexes (total nitrogen, total phosphorus, ammonia nitrogen, chemical oxygen demand) were determined in the laboratory after the scientific expedition, and the time interval between sample collection and water quality determination is too long to sustain the original content of ammonia nitrogen, thus the ammonia nitrogen of some water samples were not measured. In addition, due to the budget restriction, only water samples from the river outlet of towns on the plateau were allowed to measure the chemical indexes. Our dataset will support the study of optimizing the ecological security barrier system and validating ecohydrological models in the key urbanized areas of the Tibetan Plateau.

    2021-06-28 210 0

  • Photos and Data of history and typical disaster chains on engineering structures along Sichuan-Tibet railway (2019-2020)

    Photos and Data of history and typical disaster chains on engineering structures along Sichuan-Tibet railway (2019-2020)

    On the basis of literature and satellite image recognition, this data set has carried out a more detailed field scientific investigation on Sichuan Tibet railway, Sichuan Tibet transportation corridor and the upper reaches of Jinsha River, cataloguing and photographing the observed debris flow disaster chain, landslide disaster chain, typical fault structure points, glacial debris flow disaster chain and large-scale collapse disaster chain; Fill in the survey data form of disaster points in the field scientific examination, sort out and fill in the log files of scientific examination, and complete the distribution map of various types of disaster points. The photos are clear, the contents of the disaster questionnaire are detailed, and the scientific examination log is complete. The field survey photos and data have important reference significance for the future field survey of disaster chain and the comparative study of its future development trend.

    2021-06-04 371 0

  • The climate datasets of the urbanized area on Tibetan plateau (2019)

    The climate datasets of the urbanized area on Tibetan plateau (2019)

    The dataset contains observed climate data (1/1/2019-12/31/2019) from two automatic meteorological station located in the Qinghai Lake Basin. The niaodao station (36°58′N,99°52′E) is located in Gonghe County, Hainan Prefecture, Qinghai Province, and the wayanshan station (37°44′ N,100°05′ E) is located in Gangcha County, Haibei Prefecture, Qinghai Province. The observed elements include air temperature (℃) and relative humidity (%) at three layers (1m, 5m, and 10m), atmospheric pressure (hPa), and photosynthetically active radiation (W/m2). Both stations use CR1000 to collect climate data and record it every half an hour, the air temperature and humidity were measured by hmp155a, the atmospheric pressure was measured by CS106 and the photosynthetically active radiation was measured by LI200R. Our dataset will support the study of optimizing the ecological security barrier system in the key urbanized areas of the Tibetan Plateau.

    2021-05-25 321 0

  • Soil temperature and moisture observation data of the Selincuo Lake Basin (2017)

    Soil temperature and moisture observation data of the Selincuo Lake Basin (2017)

    This is the soil temperature and moisture observation data set in the runoff fields of the east bank of Selincuo Lake. It can be used in Climatology, Environmental Change, Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed from August 19, 2017 to September 8, 2017. It is measured by soil temperature and moisture probe (5TE)and a piece of data is recorded every 60 minutes. The original data is precise, with the soil moisture accurate to 0.01% and the soil temperature 0.01℃. The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The data is stored as an excel file.

    2020-06-03 1564 14

  • 1km grid data set of ecological vulnerability in agricultural and pastoral areas of Qinghai Tibet Plateau

    1km grid data set of ecological vulnerability in agricultural and pastoral areas of Qinghai Tibet Plateau

    Based on the vulnerability assessment framework of "exposure sensitivity adaptability", the vulnerability assessment index system of agricultural and pastoral areas in Qinghai Tibet Plateau was constructed. The index system data includes meteorological data, soil data, vegetation data, terrain data and socio-economic data, with a total of 12 data indicators, mainly from the national Qinghai Tibet Plateau scientific data center and the resource and environmental science data center of the Chinese Academy of Sciences. Based on the questionnaire survey of six experts in related fields, the weight of the indicators is determined by using the analytic hierarchy process (AHP). Finally, four 1km grid data are formed involving ecological exposure, sensitivity, adaptability and ecological vulnerability in the agricultural and pastoral areas of the Qinghai Tibet Plateau. The data can provide a reference for the identification of ecological vulnerable areas in the Qinghai Tibet Plateau.

    2021-04-09 1781 168

  • Dataset of urban land and urbanization index on the Tibetan Plateau (2018, 2019)

    Dataset of urban land and urbanization index on the Tibetan Plateau (2018, 2019)

    The dataset of urban land and urbanization index on the Tibetan Plateau mainly includes the spatial distribution data of all urban land on the Tibetan Plateau (2019) and urbanization index of different scales (2018). The dataset of urban land was obtained by the visual interpretation of Google Earth images (2019), and the residential place and residential area data of "1:250000 national basic geographic database - 2015 edition". The dataset of urbanization index was based on the composite night light index (CNLI) at the regional, provincial, watershed, prefecture, and county scales calculated from the night light data of Luojia-1. Our dataset will support the study of optimizing the ecological security barrier system in the key urbanization areas of the Tibetan Plateau

    2020-12-16 1211 118

  • Water quality dataset of Guogencuo(2017)

    Water quality dataset of Guogencuo(2017)

    This is the water quality vertical slope data of Guogencuo Lake. The data was observed on July 2, 2017. The data is stored as an excel file.

    2019-11-17 2193 58

  • Data of lake benthos in Tibet (2019)

    Data of lake benthos in Tibet (2019)

    This data includes the benthos data of 21 lakes around Selinco and Namco in 2019. The sampling mainly uses bottom trawl in the littoral zone and Ekman collector in the deep-water area. After integrating the materials obtained by the two ways, the relative abundance of benthos data of each lake is given. The main benthos species are Gammarus, water beetles, and chironomid larvae. However, the frequency of Gastropoda and Ostracoda is low, which may be related to the sampling sites. The data further divided different types of benthos into 21 taxa, which improved the recognition accuracy and cognitive range and would provide a reference for the assessment of aquatic animal diversity and fishery resources in plateau lakes.

    2021-05-31 283 0

  • Landsat surface temperature products over the Tibetan Plateau (1970s-2019)

    Landsat surface temperature products over the Tibetan Plateau (1970s-2019)

    The dataset is the land surface temperature (LST) product from 1980s to 2019 over the Tibetan Plateau. The dataset is retrieved based on Landsat images and a practical single-channel (PSC) algorithm. When validated with the simulation data set, the root-mean-square error (RMSE) of the PSC algorithm was 1.23 K. The corresponding quality assessment (QA) product is also generated to identify cloud, cloud shadow, ice and snow. LST is a commonly used land surface parameter, which can provide data product support for the research and applications in resources survey, ecological environment monitoring, global change research and other fields.

    2021-07-06 334 0

  • Water quality slope data of Co Ngoin Lake (2017)

    Water quality slope data of Co Ngoin Lake (2017)

    The data set includes the vertical profile of water quality and the multi-parameter data of surface water quality of Selincho Lake during the investigation of the sources of rivers and lakes from June to July of 2017. The main water quality parameters measured are dissolved oxygen, conductivity, pH, water temperature, etc. YSI EXO2 water quality multi-parameter measuring instrument is calibrated according to lake surface elevation and local pressure before each measurement. The time interval of measurement is set at 0.25s, and the speed of putting in is slow, so he high continuity of data acquisition is guaranteed. The original data obtained include the measured data exposed to air above the water surface, which are eliminated in the later processing.

    2019-11-22 2646 19

  • Net Biome Productivity (GPP) dataset of Tibetan Plateau (1980-2018)

    Net Biome Productivity (GPP) dataset of Tibetan Plateau (1980-2018)

    The data set is based on the NBP simulated by 16 dynamic global vegetation models (TRENDY v8) under S2 Scenario (CO2+Climate) and represents the net biome productivity of the ecosystem. Data was derived from Le Quéré et al. (2019). The range of source data is global, and the Qinghai Tibet plateau region is selected in this data set. Original data is interpolated into 0.5*0.5 degree by the nearest neighbor method in space, and the original monthly scale is maintained in time. The data set is the standard model output data, which is often used to evaluate the temporal and spatial patterns of gross primary productivity, and compared with other remote sensing observations, flux observations and other data.

    2021-05-18 522 40

  • Provenance and tectonic setting analysis of the Upper Triassic Zangxiahe Formation sandstone in the Northern Qiangtang Basin

    Provenance and tectonic setting analysis of the Upper Triassic Zangxiahe Formation sandstone in the Northern Qiangtang Basin

    Objectives: The Qiangtang Basin is the largest Mesozoic marine basin in the Xizang( Tibetan) Plateau. There have been a lot of debate about the nature and evolution of the Late Triassic Qiangtang Basin. The Zangxiahe Formation that deposited on the northern of the Qiangtang Basin and consist of sandstone and mudstone sediments,which is an significant record for the Late Triassic property of the Qiangtang Basin. The aims of this study are to constrain the nature and tectonic evolution of the Late Triassic Qiangtang Basin based on their provenance and tectonic setting of the Zangxiahe Formation sandstones.Methods: The X-ray fluorescence( XRF) and high-resolution inductively coupled plasma mass( HR-ICP-MS)are used to make the major and trace elements analysis of the Upper Triassic Zangxiahe Formation sandstones in Ganggairi area,the northern Qiangtang Basin. The major and trace elements analysis of samples were measured in the Analytical Laboratory,Beijing Research Institute of Uranium Geology,China.Results: For the Zangxiahe Formation sandstones,Si O2( 66. 9% ~ 76. 2%) and Al2O3( 10. 6% ~ 13. 2%) are the most abundant oxides. The second most abundant oxides are Fe2O3( 2. 70% ~ 4. 87%),Mg O( 0. 81% ~2. 25%),Ca O( 0. 42% ~ 3. 66%),Na2O( 1. 69% ~ 2. 36%) and K2O( 1. 63% ~ 2. 21%),while other oxides including Mn O,Ti O2 and P2O5 contents are lower than 1. 0%. Elements Si and P show slightly enrichment and other oxides show apparent depletion compared to UCC. In comparison with UCC,large-ion lithophile elements,include Sr,Cs and Ba,are depleted significantly. High field strength elements Zr and Hf have similar geochemical properties and enriched significantly. Transition trace elements,Sc,V,Cr,Co,Ni and Zn,also show apparent depletion. The total rare earth element( ∑REE) contents of the Zangxiahe Formation sandstones are 170. 3×10-6~253. 2×10-6( avg. 199. 4×10-6),which are higher than that of the UCC and have significant negative Eu anomaly.Conclusion: The CIA( 55. 0 ~ 65. 9,average 59. 1),CIW( 60. 6 ~ 74. 3,average 65. 9) and PIA( 56. 1 ~70. 6,average 61. 5) values indicate that the intensities of weathering in the source area were weak. No obvious Kmetasomatism occurred in these sandstones based on the A—CN—K diagram and low K2O contents. The relatively high ICV values reflect the source was first-cycle sediments of the active tectonic zone possibly. The Al2O3/Ti O2( 15. 4~21. 6,avg. 18. 5) values of the Zangxiahe Formation are similar to the intermediate igneous rocks,while Ti O2/Zr( 11. 9 ~ 33. 5,avg. 20. 3) values are similar to felsic igneous rocks. The Cr/Th—Sc/Th and Co/Th—La/Sc bivariate diagrams and significant negative Eu anomaly reveal that the Zangxiahe Formation sandstones were potentially derived from felsic igneous rocks,and mixed with minor intermediate igneous rocks. The( Fe2O3 T+Mg O) —Al2O3/Si O2,( Fe2O3 T+ Mg O) —Ti O2,( Fe2O3 T+ Mg O) —Al2O3/( Ca O + Na2O),Si O2—K2O/Na2O and La/Sc—Ti/Zr bivariate diagrams and La—Th—Sc,Th—Co—Zr/10,Th—Sc—Zr/10 triangular diagrams indicate that the source areas of the Zangxiahe Formation sandstones were sourced from the active continental margin and continental island arc,while also mixed with minor passive continental margin,which may be formed in the backarc foreland basin.

    2021-06-07 171 6

  • Dataset of alpine wetland water body physical and chemical properties background survey (2019-2020)

    Dataset of alpine wetland water body physical and chemical properties background survey (2019-2020)

    This dataset contains the physicochemical properties and water environment indicators of typical alpine wetlands in the Selincuo and Lhasa River basins of the Tibetan Plateau. Wetland water samples were obtained through field sampling, and data on the physicochemical indicators of the water bodies were obtained through chemical analysis in the laboratory. Some indicators were measured in the field using instruments. The data analysis method meets the requirements of relevant national standards and the results are reliable. The data can be used as background data for the water environment of wetlands on the Tibetan Plateau, to assess the ecological and environmental quality of wetlands, and to study the impact of climate change on alpine wetlands.

    2021-06-16 172 0

  • Featured livestock survey data set of typical counties in Qinghai Tibet Plateau (2019-2020)

    Featured livestock survey data set of typical counties in Qinghai Tibet Plateau (2019-2020)

    The data set mainly includes the species, quantity, distribution characteristics, production performance data, photos and sample collection information of livestock breeds in typical counties of Qinghai Tibet Plateau. The data set provides basic data for livestock related research in Qinghai Tibet Plateau.The data mainly came from field survey and literature collection, and Excel was used for collation and analysis.To check the data, to eliminate differences, and complement the lack of data, make a good representative data.After the completion of data collection, the genetic diversity of livestock was analyzed and evaluated to provide effective basic research data for animal husbandry research in Qinghai Tibet Plateau.

    2021-06-16 97 0

  • Vegetation optical depth (VOD) dataset in Tibetan Plateau (1993-2012)

    Vegetation optical depth (VOD) dataset in Tibetan Plateau (1993-2012)

    The data set is based on a series of microwave remote sensing data, including Special Sensor Microwave Imager (SSM/I), Advanced Microwave Scanning Radiometer for Earth Observation System (AMSR-E), etc., which can be used as a reference for primary productivity. The data is from Liu et al. (2015), and the specific calculation method is shown in the article. The source data range is global, and Tibetan Plateau region is selected in this data set. This data set is often used to evaluate the temporal and spatial patterns of vegetation greenness and primary productivity, which has practical significance and theoretical value.

    2020-12-22 1822 28

  • Ground penetrating radar observation dataset of typical wetland in Namucuo (2019-2020)

    Ground penetrating radar observation dataset of typical wetland in Namucuo (2019-2020)

    Ground-penetrating radar method is a narrow pulse broadband high-frequency electromagnetic wave signal detection of underground media distribution technology method, with fast, non-destructive, continuous detection and real-time display characteristics. The use of detection instrument is GR-IV type geological radar, and set up different power antenna, in August 2019 and August 2020 to carry out 2 years of coverage of Namucuo Niyaqu typical wetland area within the range of ground-penetrating radar observation, obtained the 2019-2020 Namucuo typical wetland ground-penetrating radar data set, and data format is raw.

    2021-06-16 141 0

  • A list of Cenozoic plant fossils in the Qinghai Tibet Plateau (2019-2020)

    A list of Cenozoic plant fossils in the Qinghai Tibet Plateau (2019-2020)

    The data include the Cenozoic plant fossils collected from Gansu, Qinghai and Yunnan by the Department of paleontology, School of Geological Sciences and mineral resources, Lanzhou University from 2019 to 2020. All the fossils were collected by the team members in the field and processed in the laboratory by conventional fossil restoration methods and cuticle experiment methods. The fossils are basically well preserved, some of which are horned The study of these plant fossils is helpful to understand the Cenozoic paleoenvironment, paleoclimate, paleogeographic changes and vegetation features of the eastern Qinghai Tibet Plateau.

    2021-01-13 1628 12

  • The daily albedo product coupling topographic effects and combining multi-sensory data over the Tibet Plateau

    The daily albedo product coupling topographic effects and combining multi-sensory data over the Tibet Plateau

    This daily land surface albedo proudct is with a spatl resolution of 0.02 ° x 0.02 ° over the Tibet Plateau in 2016. Multi-sensory data is used to retrieve the Multisensor Combined BRDF Inversion Model developed from a kernel-driven BRDF model and coupled with topographic effects, and prior knowledge is introduced for quality control inversion. The high-precision BRDF / albedo of good spatial-temporal continiuty is retrieved by combining MODIS reflectance data (a polar orbiting satellite) and himiwarri-8 AHI land surface reflectance (a geostationary satellite ). MODIS lans surface reflectance data and AHI TOA reflectance data are downloaded from the official websites. After registration, atmospheric correction and other processing, the daily resolution BRDF is synthesized with a period of 5 days, and then the daily resolution albedo is estimated. The validation results show that it meets the accuracy requirements of albedo application. Compared with similar products, it has more advantages in capturing rapidly changing surface features, and has better temporal and spatial continuity. It can effectively support the study of radiation energy balance and environmental change in the Tibet Plateau.

    2021-03-02 923 102