The Second Tibetan Plateau Scientific Expedition (STEP) program

Brief Introduction: Second Tibetan Plateau Scientific Expedition Program

Number of Datasets: 51

  • Meteorological observation data of Kunsha Glacier (2015-2017)

    Meteorological observation data of Kunsha Glacier (2015-2017)

    This data set includes the temperature, precipitation, relative humidity, wind speed, wind direction and other daily values in the observation point of Kunsha Glacier. The data is observed from October 3, 2015 to September 19, 2017. It is measured by automatic meteorological station (Onset Company) and a piece of data is recorded every 2 hours. The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The original data meets the accuracy requirements of China Meteorological Administration (CMA) and the World Meteorological Organization (WMO) for meteorological observation. Quality control includes eliminating the systematic error caused by the missing point data and sensor failure. The data is stored as an excel file.

    2020-06-24 1681 14 View Details

  • Water quality data of the Selincuo Lake (2017)

    Water quality data of the Selincuo Lake (2017)

    This data set includes the vertical profile water quality data from the observation point of Selincuo Lake. The data is observed on June 21, 2017 and June 22, 2017. The data is stored as an excel file.

    2020-06-03 1114 26 View Details

  • Water quality dataset of Pusaiercuo Lake (2017)

    Water quality dataset of Pusaiercuo Lake (2017)

    This is the water quality data of the vertical profile of the observation point in Pusaiercuo Lake. The data is observed on July 2, 2017. The data is stored as an excel file.

    2020-06-03 1095 12 View Details

  • Water quality data of the Darucuo Lake (2017)

    Water quality data of the Darucuo Lake (2017)

    This is the water quality data of the vertical profile of the observation point in Darucuo Lake. There are four observation points. The data is observed on June 27, June 28 and July 9, 2017. The data is stored as an excel file.

    2020-06-03 1084 13 View Details

  • Meteorological observation dataset of Shiquan River Source (2012-2015)

    Meteorological observation dataset of Shiquan River Source (2012-2015)

    This dataset includes the temperature, precipitation, relative humidity, wind speed, wind direction and other daily values in the observation point of Shiquan River Source. The data is observed from July 2, 2012 to August 5, 2014, and from September 30, 2015 to December 25, 2015. It is measured by automatic meteorological station (Onset Company) and a piece of data is recorded every 2 hours. The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The original data meets the accuracy requirements of China Meteorological Administration (CMA) and the World Meteorological Organization (WMO) for meteorological observation. Quality control includes eliminating the systematic error caused by the missing point data and sensor failure. The data is stored as an excel file.

    2020-06-03 1868 16 View Details

  • 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.

    2020-06-03 883 5 View Details

  • Precipitation observation data of Jaggang Snow Mountain (2016-2017)

    Precipitation observation data of Jaggang Snow Mountain (2016-2017)

    This is the precipitation observation data of the observation point in Jaggang Snow Mountain. It can be used in Glaciology, Climatology, Environmental Change, Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed from September 14, 2016 to June 19, 2017. It is measured by automatic rain gauge and a piece of data is recorded every 60 minutes. The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The original data meets the accuracy requirements of China Meteorological Administration (CMA) and the World Meteorological Organization (WMO) for meteorological observation. Quality control includes eliminating the systematic error caused by the missing point data and sensor failure. The data is stored as an excel file.

    2020-06-03 857 6 View Details

  • Groundwater level observation data of Selincuo Lake (2017)

    Groundwater level observation data of Selincuo Lake (2017)

    This is the groundwater level observation data set 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 June 20, 2017 to August 18, 2017. It is measured by automatic water gauge and a piece of data is recorded every 60 minutes. The data includes the water pressure and water temperature of the groundwater level observation point on the west bank of Selincuo Lake. The original data is precise, with the pressure accurate to 0.001kP and the water temperature 0.001℃. 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.

    2020-05-28 2270 5 View Details

  • Glacier temperature dataset of Xiaodong Kemadi (2012-2015)

    Glacier temperature dataset of Xiaodong Kemadi (2012-2015)

    This is the daily temperature observation data set of 6 points in Xiaodong Kemadi, 4 points in Yangbajing, and 4 points in Hariqin during 2012-2015.

    2019-11-22 1716 4 View Details

  • 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 1671 13 View Details

  • Water level observation data of Selincuo Lake (2016-2017)

    Water level observation data of Selincuo Lake (2016-2017)

    This is the water level observation data 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 September 17, 2016 to February 15,2017. It is measured by automatic water gauge and a piece of data is recorded every 60 minutes. The data includes the water pressure and water temperature of the water level observation point on the east bank of Selincuo Lake.The original data is precise, with the pressure accurate to 0.001kP and the water temperature 0.001℃. 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.

    2019-11-18 1255 10 View Details

  • Water depth measurement dataset over the Kering Tso Lake (2017)

    Water depth measurement dataset over the Kering Tso Lake (2017)

    This data set includes the water depth measurement data during the Jianghuyuan expedition from June to July 2017 over the Kering Tso Lake. The measurement time is on July 2, 2017. The data was measured by Lowrance HDS-5 sonar sounder. The original data was generated by surfer 13 software and Kriging difference method. The original data contained more invalid depth data, which had been screened out in the later stage of collation. The survey line is reasonable to ensure that the data cover all depth gradients.

    2019-11-18 883 7 View Details

  • Bathymetric data of Co Ngoin Lake (2017)

    Bathymetric data of Co Ngoin Lake (2017)

    This data set comprises the depth measurements of Co Ngoin Lake during the River and Lake Source Investigation from June to July in 2017. The measurements were obtained on June 24, 2017 using a Lowrance HDS-5 sonar depth finder. The original data are made into the isobath map processed by the Surfer 13 software using the Kriging method. The original measured data contain numerous invalid depth data, all of which has been eliminated in the postselection process. The selected measurement line is reasonable, and the data cover various depth gradients.

    2019-11-18 1737 12 View Details

  • Water quality slope data of Selincuo Lake (2017)

    Water quality slope data of Selincuo Lake (2017)

    This is the water quality vertical slope data of Selincuo Lake during the River and Lake Source Investigation from June to July in 2017. The main water quality parameter observation data includes dissolved oxygen, electrical conductivity, PH, water temperature and others.

    2019-11-18 840 11 View Details

  • Hydrogen and oxygen isotope data of lakes from rivers and lakes (2017)

    Hydrogen and oxygen isotope data of lakes from rivers and lakes (2017)

    This data set is the hydrogen and oxygen isotope ratio data of water samples collected in the Selincuo, Gayringco, and Co Ngoin Lake during the Water Source Study in 2017. The water sample collection time is from June 2017 to July 2017. It can be used in Lake Water Cycle, Lake Environmental Changes, Study of Isotopic Geochemistry and other disciplinary areas.

    2019-11-18 2097 5 View Details

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

    Water quality slope data of Co Ngoin Lake (2017)

    These are the water quality vertical slope data of Co Ngoin Lake obtained during the River and Lake Source Investigation from June to July in 2017. The main water quality observation data include dissolved oxygen, electrical conductivity, PH, water temperature and others.

    2019-11-18 1071 11 View Details

  • Temperature and conductivity data of Selincuo Lake (2017)

    Temperature and conductivity data of Selincuo Lake (2017)

    This is the water quality data at depth of 2m, 15m, 18m, 28m, and 38m observed in Selincuo Lake from June to July, 2017. The data can be used in many fields, such as the physical and chemical properties of lakes and their climate response and lake environment changes.

    2019-11-18 2606 7 View Details

  • Selinna Lake core 14C dating data (2017)

    Selinna Lake core 14C dating data (2017)

    This is the core 14C dating data of Selincuo long drill in 2017. It obtains the age information of lake sediments, and makes a time scale for the next step of environmental indicator analysis. The data is measured by the US BETA laboratory.

    2019-11-18 821 1 View Details

  • Core XRF scan data of Selincuo Lake (2017)

    Core XRF scan data of Selincuo Lake (2017)

    This is the core XRF scan data of Selincuo Lake in 2017. The main parameters include magnetic susceptibility and the abundance of each mineral element.

    2019-11-18 920 1 View Details

  • Flux observation data of alizangbu, the inflow river of Selincuo (2017)

    Flux observation data of alizangbu, the inflow river of Selincuo (2017)

    The data set is the flux data of the Alizangbu lake inlet obtained using the HS-2 portable hydrological velocity and flow meter, which can be applied to the hydrological processes and other fields in the cold areas. The data were obtained on August 16, 2017, and the data include measurement time, location, water depth, velocity and flow rate. The data are stored as an excel file.

    2019-11-18 1784 2 View Details