Pan-third-polar environmental change and green silk road construction

Brief Introduction: Pan-third-polar environmental change and green silk road construction

Number of Datasets: 625

  • Bathymetric data of Renqingxiubucuo Lake (2017)

    Bathymetric data of Renqingxiubucuo Lake (2017)

    This data set is the measurement of the depth of Renqingxiubucuo Lake during the River and Lake Source Investigation in 2017. It can be used to map lake isobath, to estimate the water quantities in lakes and to study water balance of the basin. The data is observed on September 1, 2017. It was measured by the Lowrance HDS-5 sonar depth finder. The original measured data contains a lot of invalid depth data, which has all been eliminated in the post-selecting process. The selected measuring line is reasonable, and the data covers various depth gradients. The data is stored as an excel file.

    2019-11-18 466 4 View Details

  • Bathymetric data of Mapam Yumco Lake (2017)

    Bathymetric data of Mapam Yumco Lake (2017)

    This data set is the measurement of the depth of Mapam Yumco Lake during the River and Lake Source Investigation in 2017. It can be used to map lake isobath, to estimate the water quantities in lakes and to study water balance of the basin. The data observed time is from September 5, 2017 to September 7, 2017. It was measured by the Lowrance HDS-5 sonar depth finder. The original measured data contains a lot of invalid depth data, which has all been eliminated in the post-selecting process. The selected measuring line is reasonable, and the data covers various depth gradients. The data is stored as an excel file.

    2019-11-18 377 4 View Details

  • Bathymetric data of Laangcuo Lake (2017)

    Bathymetric data of Laangcuo Lake (2017)

    This data set is the measurement of the depth of Laangcuo Lake during the River and Lake Source Investigation in 2017. It can be used to map lake isobath, to estimate the water quantities in lakes and to study water balance of the basin. It was measured by the Lowrance HDS-5 sonar depth finder. The original measured data contains a lot of invalid depth data, which has all been eliminated in the post-selecting process. The selected measuring line is reasonable, and the data covers various depth gradients. The data is stored as an excel file.

    2019-11-18 398 5 View Details

  • Bathymetric Data of Ngangla Ringco Lake (2017)

    Bathymetric Data of Ngangla Ringco Lake (2017)

    This data set is the measurement of the depth of Ngangla Ringco Lake during the River and Lake Source Investigation in 2017. It can be used to map lake isobath, to estimate the water quantities in lakes and to study water balance of the basin. The data observation time is from August 29, 2017 to August 30, 2017. It is measured by the Lowrance HDS-5 sonar depth finder. The original measured data contains a lot of invalid depth data, which has all been eliminated in the post-selecting process. The selected measuring line is reasonable, and the data covers various depth gradients. The data is stored as an excel file.

    2019-11-18 531 3 View Details

  • Water quality multi-parameter dataset of Ngangla Ringco Lake (2017)

    Water quality multi-parameter dataset of Ngangla Ringco Lake (2017)

    This is the water quality multi-parameter data set of Ngangla Ringco Lake during the River and Lake Source Investigation in 2017. It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data observed dates from August 29, 2017 to August 30, 2017. It is measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25s. To ensure the data is frequently and continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.

    2019-11-18 691 7 View Details

  • Water quality multi-parameter dataset of Chakarejue Lake (2017)

    Water quality multi-parameter dataset of Chakarejue Lake (2017)

    This is the water quality multi-parameter data set of Chakarejue Lake during the River and Lake Source Investigation in 2017.It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data is observed on August 30, 2017. It is measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25s. To ensure the data is frequently and continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.

    2019-11-18 531 8 View Details

  • Water quality multi-parameter dataset of Laangcuo Lake (2017)

    Water quality multi-parameter dataset of Laangcuo Lake (2017)

    This is the water quality multi-parameter data set of Laangcuo Lake during the River and Lake Source Investigation in 2017. It can be used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data is observed on September 8, 2017. It is measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25 s. To ensure the data is continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.

    2019-11-18 657 7 View Details

  • Water quality multi-parameter dataset of Mapam Yumco Lake (2017)

    Water quality multi-parameter dataset of Mapam Yumco Lake (2017)

    This is the water quality multi-parameter data set of Mapam Yumco Lake during the River and Lake Source Investigation in 2017. It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data observed time is from September 4, 2017 to September 7, 2017. It is measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25s. To ensure the data is frequently and continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.

    2019-11-18 512 6 View Details

  • Water quality multi-parameter dataset of Renqingxiubucuo Lake (2017)

    Water quality multi-parameter dataset of Renqingxiubucuo Lake (2017)

    This is the water quality multi-parameter data set of Renqingxiubucuo Lake. It can be used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data is observed on September 1 2017. It was measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25 s. To ensure the data is continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.

    2019-11-18 566 6 View Details

  • Hydrogen and Oxygen isotope data of water collected in river and lake source (2017)

    Hydrogen and Oxygen isotope data of water collected in river and lake source (2017)

    This data set is the the hydrogen and oxygen isotope ratio data of water samples collected in the Ngangla Ringco, Renqingxiubucuo, Mapam Yumco, and Laangcuo during the River and Lake Source Investigation in 2017. It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes environment research. The water sample collection time is from August 2017 to September 2017. The sampling sites are Ngangla Ringco, Renqingxiubucuo, Mapam Yumco, and Laangcuo. The data is measured by the Environmental Laboratory of the Institute of Tibetan Plateau Research. The instrument used is the wavelength scanning cavity ring-down spectrometer made by the American Company Picarro. Each sample is measured twice and two data is obtained when measured. The average of the two data for the same indicator for each sample is used when analyzing. Test accuracy: (standard deviation, SD): δO18 ≤ 0.15 ‰, δD ≤ 1.0 ‰.

    2019-11-18 440 3 View Details

  • Soil temperature and moisture observation data of the Yarlung Zangbo River Basin (2017)

    Soil temperature and moisture observation data of the Yarlung Zangbo River Basin (2017)

    This data set includes four soil temperature and moisture instrument observation points in the source area of the Yarlung Zangbo River Basin, that is Xietongmen County, Angren County, Saga County and Zhongba County. The observation time is from August 23 to December 10, 2017. And the observation interval is 10 minutes. There are 4 layers of depth of observation,which is 10cm, 40cm, 80cm and 120cm.The specific observation location and time range are as follows. Saga Bridge From 12:50:00 August 31, 2017 to 17:20:00 December 10, 2017 Maquan River Bridge From 19:30:00 August 30, 2017 to 13:10:00 December 10, 2017 Duoxiongzangbu From 17:20:00 August 24, 2017 to 12:20:00 December 8, 2017 Pangdaya River Bridge From 11:30:00 August 23, 2017 to 9:10:00 December 4, 2017 The soil moisture data is accurate to 3 digits after decimal point. The soil temperature data is accurate to 1 digit after decimal point. Quality control includes eliminating the data when the sensor is not fully adapted to the soil environment and system errors caused by sensor failure. The data is stored as an excel file.

    2019-11-18 745 14 View Details

  • Sounding observation dataset of  Ali Station (2017)

    Sounding observation dataset of Ali Station (2017)

    This is the sounding observation data set measured by the sounding instrument. It is released by Ali Station, Institute of Tibetan Plateau Research, Chinese Academy of Sciences. The observation time is separately at 12:00, 16:00, 20:00 September 2, 2017, at 16:00, 20:00 September 3, 2017, at 8:00, 12:00, 16:00, 20:00, September 4,2017, at 0:00, 4 :00, 8:00, 12:00, 16:00, 20 :00 September 5, 2017, at 0:00, 4 :00, 8:00, September 6,2017. The original data accuracy is as follows. The data accurate to the integer position are logarithmic pressure, relative humidity, altitude, horizontal wind direction, azimuth, and elevation. The data accurate to one decimal place are temperature, air pressure, dew-point temperature, horizontal wind speed, and longitude. And the data accurate to two decimal places are meridional wind velocity, zonal wind velocity, vapor-to-liquid ratio and latitude. Quality control includes eliminating the missing data and the empty data. The data is stored as an excel file.

    2019-11-18 467 1 View Details

  • Meteorological observation data of Kongque River Source (2012-2017)

    Meteorological observation data of Kongque River Source (2012-2017)

    This data set includes the temperature, precipitation, relative humidity, wind speed, wind direction and other daily values in the observation point of Kongque River Source. The data is observed from July 2, 2012 to September 15, 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.

    2019-11-18 483 6 View Details

  • 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.

    2019-11-17 478 0 View Details

  • Meteorological observation data of the terminus of Naimona'nyi Glacier (2011-2017)

    Meteorological observation data of the terminus of Naimona'nyi Glacier (2011-2017)

    This data set includes the temperature, relative humidity, and other daily values at the end of the observation point of the terminus of Naimona’nyi Glacier The data is observed from July 3, 2011 to September 15, 2017. It is measured by automatic meteorological station (Onset Company) and a piece of data is recorded every 60minutes. 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.

    2019-11-17 453 1 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.

    2019-11-17 555 1 View Details

  • Water quality dataset of Bamucuo (2017)

    Water quality dataset of Bamucuo (2017)

    This is the water quality data of the vertical profile of the observation point in Bamucuo Lake. The data is observed on July 11, 2017. The data is stored as an excel file.

    2019-11-17 377 7 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.

    2019-11-17 449 7 View Details

  • 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.

    2019-11-17 455 5 View Details

  • Water quality dataset of Jiangcuo Lake (2017)

    Water quality dataset of Jiangcuo Lake (2017)

    This is the water quality data of the vertical profile of the observation point in Jiangcuo Lake. There are two observation points. It is observed on July 10, 2017. The data is stored as an excel file.

    2019-11-17 517 7 View Details