The Second Tibetan Plateau Scientific Expedition (STEP) program

Brief Introduction: Second Tibetan Plateau Scientific Expedition Program

Number of Datasets: 682

  • Geochemical data of magmatic and metamorphic rocks in Nymo area of Gangdese belt, southern Tibet

    Geochemical data of magmatic and metamorphic rocks in Nymo area of Gangdese belt, southern Tibet

    The data are the radioisotope dating data of magmatic and metamorphic rocks, the major and trace geochemical data of whole rock and the major geochemical data of minerals. Samples were collected from diorite and garnet biotite schist in Gangdese belt, Nimu area, southern Tibet. The U-Pb isotopic data of zircon and monazite were obtained by laser ablation inductively coupled plasma mass spectrometry. The major and trace geochemical data of the whole rock are obtained by X-ray fluorescence spectrometry and inductively coupled plasma mass spectrometry. The main geochemical data of minerals are obtained by EPMA. The age of regional magmatism and metamorphism can be determined by the obtained data.

    2022-06-24 818 148

  • Debris flow risk assessment in China Pakistan Economic Corridor (2021)

    Debris flow risk assessment in China Pakistan Economic Corridor (2021)

    This data is the debris flow risk assessment data, which is obtained from the analysis and research of the debris flow disaster in the China Pakistan Economic Corridor. The sample data of debris flow is the detailed data of debris flow disaster through remote sensing interpretation and on-site verification. A risk assessment system is established to evaluate the debris flow risk in the study area by using the information method, and then the risk area is divided by using the natural breakpoint method. This data can be used to assess the risk of major debris flow disasters, understand the relationship between the risk degree of major debris flow, and provide scientific guidance for the decision-making of local government departments in disaster prevention and mitigation and urban governance.

    2022-06-21 66 0

  • Vulnerability assessment of debris flow in China Pakistan Economic Corridor (2021)

    Vulnerability assessment of debris flow in China Pakistan Economic Corridor (2021)

    This data is the debris flow risk assessment data obtained from the analysis and Research on the debris flow disaster in the China Pakistan Economic Corridor, and the data source is the risk and vulnerability analysis results obtained from this study; The research method is based on the risk expression given by the United Nations Department of Humanitarian Affairs (1992): risk = hazard × Vulnerability, risk analysis of debris flow disaster in the study area.. The purpose of this data is to assess the risk of debris flow disaster in the China Pakistan Economic Corridor, understand the relationship between the intensity of major debris flow risk, and provide scientific guidance for the decision-making of local government departments in disaster prevention and mitigation and urban governance.

    2022-06-20 46 0

  • Debris flow risk assessment in China Pakistan Economic Corridor (2021)

    Debris flow risk assessment in China Pakistan Economic Corridor (2021)

    This data is the debris flow risk assessment data obtained from the analysis and Research on the debris flow disaster in the China Pakistan Economic Corridor, and the data source is the risk and vulnerability analysis results obtained from this study; The research method is based on the risk expression given by the United Nations Department of Humanitarian Affairs (1992): risk = hazard × Vulnerability, risk analysis of debris flow disaster in the study area.. The purpose of this data is to assess the risk of debris flow disaster in the China Pakistan Economic Corridor, understand the relationship between the intensity of major debris flow risk, and provide scientific guidance for the decision-making of local government departments in disaster prevention and mitigation and urban governance.

    2022-06-20 53 0

  • Average annual vegetation coverage of China Pakistan Economic Corridor and Tianshan Mountains (2000-2018)

    Average annual vegetation coverage of China Pakistan Economic Corridor and Tianshan Mountains (2000-2018)

    This data uses a large number of MODIS remote sensing images to analyze and calculate the surface vegetation coverage of the Qinghai Tibet Plateau from 2000 to 2018 based on the Google Earth engine platform. Vegetation index (NDVI) is an important index for monitoring ground vegetation. The 6th edition data of Terra moderate resolution imaging spectrometer (MODIS) vegetation index level 3 product (mod13q1) are generated every 16 days with a spatial resolution of 250 meters. The annual average NDVI index calculated based on GEE platform can reflect the long-term change trend of vegetation coverage from 2000 to 2018. Meanwhile, the multi-year average NDVI index from 2000 to 2018 reflects the spatial distribution of the Qinghai Tibet Plateau. The spatial-temporal change monitoring of vegetation index (NDVI) is an indispensable basic information and key parameter for environmental change research and sustainable development planning, which is helpful to understand the changes and impacts of some ecological factors (temperature, precipitation) under the background of climate change.

    2022-06-20 66 0

  • Types of surface vegetation within 500m of China Pakistan Economic Corridor and Tianshan Mountains (2020)

    Types of surface vegetation within 500m of China Pakistan Economic Corridor and Tianshan Mountains (2020)

    This data set collates and collects the surface vegetation type data with 500m spatial resolution in the Qinghai Tibet Plateau and its surrounding areas. The data source is from the official website of the United States Geological Survey (USGS)( https://lpdaac.usgs.gov/products/mod12q1v006/ )This data is the land use and cover product of MODIS level III data, with a spatial resolution of 500m. By using supervised classification of Terra and aqua reflectance data. By applying smoothing splines to the bottom bidirectional reflectance distribution function (BRDF) - adjusted reflectance (nbar) time series, the 6th mcd1201 product developed a new notch filling spectral time feature. In addition, the 6th edition also uses hidden Markov model (HMM) to reduce false changes in category labels. The data set contains 17 major land cover types, including 11 natural vegetation types, 3 land types for land development and mosaic and 3 non vegetation land type definition types according to the international geosphere biosphere program (IGBP). They are: 1-evergreen coniferous forest; 2-evergreen broad-leaved forest; 3-deciduous coniferous forest; 4-deciduous broad-leaved forest; 5-mixed forest; 6-dense shrub; 7- sparse shrub; 8- woody savanna; 9- savanna; 10- grassland; 11- permanent wetlands; 12- agricultural land; 13- cities and construction areas; 14- agricultural land / natural vegetation splicing; 15- snow and ice; 16- bare ground; 17- water.

    2022-06-18 54 0

  • China Pakistan Economic Corridor and main water systems of Tianshan Mountains (1989)

    China Pakistan Economic Corridor and main water systems of Tianshan Mountains (1989)

    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.

    2022-06-18 122 0

  • DEM of the China–Pakistan Economic Corridor and Tianshan Mountains (30m) (2006-2011)

    DEM of the China–Pakistan Economic Corridor and Tianshan Mountains (30m) (2006-2011)

    Topographic data of China Pakistan Economic Corridor and Tianshan Mountains are produced by Japan Aerospace Exploration Agency (JAXA). The 30m digital elevation model (DEM) (2006-2011) of China Pakistan Economic Corridor and Tianshan Mountains describes the ground elevation information, which is an important raw data for studying and analyzing terrain, watershed and feature recognition. It is widely used in surveying and mapping, hydrology, hydrology, meteorology, geomorphology, geology, soil, engineering construction and other fields of national economy as well as humanities and natural sciences. In terms of flood control and disaster reduction, DEM is the basis for hydrological analysis, such as catchment area analysis, water network analysis, rainfall analysis, flood storage calculation, inundation analysis, etc; At the same time, DEM data can reflect local terrain features with a certain resolution. Through DEM, a large amount of surface morphology information can be extracted, which can be used to draw contour lines, elevation maps, slope maps, water system maps, three-dimensional perspective maps, three-dimensional landscape maps, and used to make orthophotos, three-dimensional terrain models, and map revision. The horizontal resolution of the data is 30m (1 arc second), and the elevation accuracy is 5m. It is one of the most accurate terrain data in the world. The data download address is https://www.eorc.jaxa.jp/ALOS/en/aw3d30/data/ 。

    2022-06-18 124 4

  • Soil types of China Pakistan Economic Corridor and Tianshan Mountains (1971-1981)

    Soil types of China Pakistan Economic Corridor and Tianshan Mountains (1971-1981)

    This data set is the soil type map of China Pakistan Economic Corridor and Tianshan Mountains (1971-1981), which is derived from the world food and Agriculture Organization (FAO) harmonious world soil database (v1.2). The coverage is global, and the spatial resolution is 0.0833333 °. The soil data is the result of the cooperation between FAO and the world soil information agency, the Soil Research Institute of the Chinese Academy of Sciences and the joint research center of the European Commission. The unified world soil database is a 30 arc second grid database with more than 15000 different soil mapping units. It combines the existing soil information in the world with the information in the 1:5000000 scale world soil map (FAO, 1971-1981). The grid database consists of 21600 rows and 43200 columns, and uses a standardized structure to link attribute data with grid maps to display or query the composition of soil units and the characteristics of selected soil parameters. Soil type map can provide basic scientific reference for land use planning, geological disaster prevention and management.

    2022-06-18 61 0

  • Hydrochemical characteristics of the upper Yarlung Zangbo River in summer(2020)

    Hydrochemical characteristics of the upper Yarlung Zangbo River in summer(2020)

    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.

    2022-06-16 77 0

  • Photos and videos of the Second Tibetan Plateau Scientific Expedition and Research on conservation and sustainable utilization of microbial diversity in the plateau (2020-2021)

    Photos and videos of the Second Tibetan Plateau Scientific Expedition and Research on conservation and sustainable utilization of microbial diversity in the plateau (2020-2021)

    The Second Tibetan Plateau Scientific Expedition and Research Task V Theme III "Conservation and Sustainable Utilization of Plateau Microbial Diversity" (2019QZKK0503) carried out more than 30 field scientific expeditions in the first and second years. Footprints cover most of the Tibetan Plateau, including the investigation of glaciers (such as Qiangyong Glacier, Tanggula Glacier, Everest East Rongbu glacier, Jiemayangzong Glacier, Palung 4 Glacier, etc.), lakes, soils, fungi, lichens, animals in Southeast Tibet, Qiangtang Plateau, Cocosili and Himalayan region. The dataset contains 6,471 photos and videos, including habitat photos, working photos, and scientific images collected during the first and second years of fieldwork.

    2022-06-15 56 0

  • Hydrochemical characteristics of Naqu watershed in the upper reaches of Nujiang River (2020-2021)

    Hydrochemical characteristics of Naqu watershed in the upper reaches of Nujiang River (2020-2021)

    In order to explore the inorganic hydrochemical characteristics of Naqu basin, river water and groundwater were collected in Naqu basin in September 2020 and September 2021. Collect river water and groundwater with 550ml plastic bottles on site. The main anions and anions (ca2+, na+, mg2+, k+, so42- and cl-) are measured with an ion chromatograph (metrohm ecoic, Switzerland), with a measurement accuracy of 1 μ G/l. Bicarbonate (hco3-) is titrated with acid-base indicator and determined with 50ml acid burette. The purpose is to reveal the inorganic hydrochemical characteristics of water bodies in Naqu basin and provide data support for the analysis of groundwater recharge sources in Naqu basin.

    2022-06-15 187 0

  • Data sets of ground air exchange fluxes and vertical gradients of air pollutants at Namco station (2019) and Southeast Tibet station (2021)

    Data sets of ground air exchange fluxes and vertical gradients of air pollutants at Namco station (2019) and Southeast Tibet station (2021)

    This data is obtained through observation at Namucuo multi cycle comprehensive observation and research station of Chinese Academy of Sciences (2019) and Tibetan southeast alpine environment comprehensive observation and research station of Chinese Academy of Sciences (2021), including the earth atmosphere exchange flux or vertical gradient of species such as O3, NOx, HONO, H2O and HCHO. The time range is from April 28, 2019 to July 10, 2019 (Namuco station) and from May 2, 2021 to May 13, 2021 (Southeast Tibet station). The data consists of five documents. Documents 1-4 are the flux data and H2O vertical gradient, HONO vertical gradient and NO2 vertical gradient observed at Namuco station in 2019. Document 5 is the flux data observed at Southeast Tibet station in 2021. During the monitoring period, data was missing due to instrument status problems. This data has broad application prospects and can serve graduate students and scientists with backgrounds such as atmospheric science, climatology, and ecology.

    2022-06-13 142 2

  • Global Soil Texture Datasets Optimized from Satellite-Observed Wilting Point

    Global Soil Texture Datasets Optimized from Satellite-Observed Wilting Point

    This dataset provides global soil texture data optimized by remote sensing estimation of wilting coefficient, with a spatial resolution of 0.25 degree. The dataset incorporates remote sensing-based (e.g., SMAP satellite) estimation of soil wilting point and uses the SCE-UA algorithm to optimize two prevalently used soil texture datasets (i.e., GSDE (Shangguan et al. 2014) and HWSD (Fischer et al., 2008)). Comparison results with in-situ observations (44 stations in North America) show that, the soil moisture and evaporative fraction simulation from the Noah-MP land surface model by using the optimized soil texture have been significantly improved.

    2022-06-12 150 20

  • 90-meter resolution geological hazard risk map of the Himalayas and Asia Water Tower (2021)

    90-meter resolution geological hazard risk map of the Himalayas and Asia Water Tower (2021)

    This data set collates and collects various geological hazard points, topographic relief, landslide, elevation, land use and other influencing factors, with a resolution of 90m. The above factor layers and sample data are used to obtain the risk grade map with random forest. Data sets / atlas are mainly generated by: raw data (investigation, collection and purchase, etc.), processing data (calculation and simulation). The data source is downloaded from the open source website with an accuracy of 90m. The data is downloaded from the open source website and calculated in spider with their own random forest code. The training set is 80% and the test set is 20%. Open it with a computer that can run ArcGIS.

    2022-06-11 45 0

  • Thickness of Xiaodongkemadi glacier (2021)

    Thickness of Xiaodongkemadi glacier (2021)

    1) The data included the thickness, coordinates and elevation of Xiaodongkemadi glacier and was measured from July 26 to 28, 2021; 2) The data was measured by the ground penetrating radar with working frequency of 100MHz developed by China Institute of Water Resources and Hydropower Research. The thickness of the glacier was obtained through the processing and analysis of the radar echo image. The dielectric constant of the ice was 3.2, and the coordinates and elevation of the measuring points were measured by the RTK system; 3) The data can be used to study the changes of glacier thickness, mass balance , runoff and so on.

    2022-06-10 173 0

  • Map of flood hazard level of Qinghai-Tibetan Plateau (2021, 250m)

    Map of flood hazard level of Qinghai-Tibetan Plateau (2021, 250m)

    Based on the concept of Height Above Nearest Drainage ( HAND ) derived from the international digital elevation model, the HAND model was used to identify the flooded area, and the spatial distribution of flood hazard level in the flood area of the study area was established. Flood hazard in the study area is divided into 1-5 grades, of which 5 represent very high risk, 4 represent high risk, 3 represent medium risk, 2 represent low risk, 1 represent very low risk.

    2022-06-10 152 0

  • Hengduan Mountain Area (Sichuan-Tibet railway) natural disaster risk and comprehensive risk assessment data set (2020)

    Hengduan Mountain Area (Sichuan-Tibet railway) natural disaster risk and comprehensive risk assessment data set (2020)

    Based on China's daily ground meteorological elements data set, national geographic basic data, demographic data, and 30M resolution DEM data, statistical yearbook data, historical disaster records, and other related data, using multi-methods like PCA, random forests to calculate hazard and vulnerability indicators, based on extreme precipitation,high temperature, flood, snow hazard, collapse and landslide hazards, to build comprehensive disaster risk index, and process them with normalization. Among them, we consider all the above disaster types in Hengduan Mountain area, and flood, snow disaster, collapse and landslide disaster in sichuan-tibet railway. The natural disasters hazard map, vulnerability map and comprehensive risk map of Hengduan Mountains (Sichuan-Tibet Railway) are included in the dataset.

    2022-06-09 1844 67

  • Whole rock major and trace and zircon U-Pb isotope data set of the Mesozoic sedimentary rocks in the Tengchong and Baoshan blocks

    Whole rock major and trace and zircon U-Pb isotope data set of the Mesozoic sedimentary rocks in the Tengchong and Baoshan blocks

    This data set includes major and trace elements and zircon U-Pb isotope data of Mesozoic sedimentary rocks in Baoshan block, Tengchong, Yunnan Province. The sampling time is 2018, and the area is near lameng Town, Baoshan District, Tengchong, Yunnan. The rock samples include 8 sedimentary rock samples. This data provides key information for understanding the evolution of the middle Tethys structure between Tengchong and Baoshan, and limits the closing time of the middle Tethys ocean to the late Jurassic, which is of great significance for discussing the evolution process of the Tethys structure. The whole rock major and trace elements of rock samples were tested by fluorescence spectrometer (XRF) and plasma mass spectrometer (ICP-MS), and zircon U-Pb was dated by laser ablation plasma mass spectrometer (LA-ICP-MS). The testing units include Institute of Geology and Geophysics, Chinese Academy of Sciences and Institute of Qinghai Tibet Plateau. The related articles of this data set have been published in the Journal of Asian Earth Sciences, and the data results are true and reliable.

    2022-06-09 36 8

  • High resolution surface morphology of Kuoqionggangri Glacier (2020-2021)

    High resolution surface morphology of Kuoqionggangri Glacier (2020-2021)

    The dataset includes three high-resolution DSM data as well as Orthophoto Maps of Kuqionggangri Glacier, which were measured in September 2020, June 2021 and September 2021. The dataset is generated using the image data taken by Dajiang Phantom 4 RTK UAV, and the products are generated through tilt photogrammetry technology. The spatial resolution of the data reaches 0.15 m. This dataset is a supplement to the current low-resolution open-source topographic data, and can reflect the surface morphological changes of Kuoqionggangri Glacier from 2020 to 2021. The dataset helps to accurately study the melting process of Kuoqionggangri Glacier under climate change.

    2022-06-09 242 0