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

  • 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.

    2019-11-18 345 6 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.

    2019-11-18 433 2 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.

    2019-11-18 515 6 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.

    2019-11-18 366 3 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.

    2019-11-18 296 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.

    2019-11-18 342 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.

    2019-11-18 330 0 View Details

  • Flow discharge observation data of Selincuo Lake’s inflow river - Boquzangbu (2017)

    Flow discharge observation data of Selincuo Lake’s inflow river - Boquzangbu (2017)

    This is the flow discharge observation data observed in the estuary of Boquzangbu, which is Selincuo Lake’s inflow river. It is measured by Flow Tracker portable hydrological flow rate meter. It can be used in Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed on August 16, 2017. The observation includes time, location, depth of water, water flow rate, and water flow discharge. The data is stored as an excel file.

    2019-11-18 378 4 View Details

  • Observation data of melting water flow in Jiagang snow mountain of Selinco Watershed (2016)

    Observation data of melting water flow in Jiagang snow mountain of Selinco Watershed (2016)

    This dataset is the spatial distribution map of the marshes in the source area of the Yellow River near the Zaling Lake-Eling Lake, covering an area of about 21,000 square kilometers. The data set is classified by the Landsat 8 image through an expert decision tree and corrected by manual visual interpretation. The spatial resolution of the image is 30m, using the WGS 1984 UTM projected coordinate system, and the data format is grid format. The image is divided into five types of land, the land type 1 is “water body”, the land type 2 is “high-cover vegetation”, the land type 3 is “naked land”, and the land type 4 is “low-cover vegetation”, and the land type 5 is For "marsh", low-coverage vegetation and high-coverage vegetation are distinguished by vegetation coverage. The threshold is 0.1 to 0.4 for low-cover vegetation and 0.4 to 1 for high-cover vegetation.

    2019-11-18 654 15 View Details

  • Flow discharge observation data of Selincuo Lake's Inflow River Zhagenzangbu (2017)

    Flow discharge observation data of Selincuo Lake's Inflow River Zhagenzangbu (2017)

    This is the flow discharge observation data observed in the estuary of Zhagenzangbu, which is Selincuo Lake’s inflow river. It is measured by HS-2 portable hydrological flow rate meter. It can be used in Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed on August 16, 2017. The data includes time, location, depth of water, water flow rate, and water flow discharge. The data is stored as an excel file.

    2019-11-18 446 0 View Details

  • Flow discharge observation data over Zhajiazangbu Inflow river of Selincuo Lake (2017)

    Flow discharge observation data over Zhajiazangbu Inflow river of Selincuo Lake (2017)

    This is the flow discharge observation data observed in the estuary of Zhagenzangbu. It is measured by HS-2 portable hydrological flow rate meter. It can be used in Hydrologic Process in Cold Regions and other disciplinary areas. The data is acquired on August 15, 2017. The data includes time, location, depth of water, water flow rate, and water flow discharge. The data is stored as an excel file.

    2019-11-18 373 0 View Details

  • Flow discharge observation data of Zhaqu bridge in the upper Selincuo Lake’s inflow river Zhajiazangbu (2017)

    Flow discharge observation data of Zhaqu bridge in the upper Selincuo Lake’s inflow river Zhajiazangbu (2017)

    This is the flow discharge observation data of Zhaqu Bridge, which is in the upper Selincuo Lake’s inflow river Zhajiazangbu. It is measured by HS-2 portable hydrological flow rate meter. It can be used in Hydrologic Process in Cold Regions and other disciplinary areas. The data is acquired on August 14, 2017. The data includes time, location, depth of water, water flow rate, and water flow discharge. The data is stored as an excel file.

    2019-11-18 401 0 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.

    2019-11-18 472 1 View Details

  • Precipitation observation data of the Qiang-Tang Plateau (2017)

    Precipitation observation data of the Qiang-Tang Plateau (2017)

    This is the rain gauge precipitation observation data along Bange-Ali line in the Qiang-tang Plateau. It can be used to evaluate and improve the quality of satellite precipitation products, thereby improving the estimation accuracy of precipitation in the Qiangtang Plateau. The data is observed from June 19, 2016 to September 24, 2017. 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.

    2019-11-18 448 8 View Details

  • Precipitation observation data of the east bank of Selincuo Lake (2016-2017)

    Precipitation observation data of the east bank of Selincuo Lake (2016-2017)

    This is the precipitation observation data set of the east bank of Selincuo Lake. It can be used in Glaciology, Climatology, Environmental Change, Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed from September 1, 2016 to August 17, 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.

    2019-11-18 439 11 View Details

  • Precipitation observation data on Taerma Township (2016-2017)

    Precipitation observation data on Taerma Township (2016-2017)

    This is the precipitation observation data of the observation point in Taerma Township. It can be used in Glaciology, Climatology, Environmental Change, Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed from September 15, 2016 to August 17, 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.

    2019-11-18 418 3 View Details

  • 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.

    2019-11-18 530 10 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.

    2019-11-18 397 2 View Details

  • Slopes-Runoff observation dataset of Selincuo Basin (2017)

    Slopes-Runoff observation dataset of Selincuo Basin (2017)

    This is the slopes-runoff observation data set in typical underlying surface runoff fields of Selincuo Basin. It can be used in Hydrologic Process in Cold Regions, Geocryology and other disciplinary areas. The underlying surface of the observation point is the typical alpine steppe. The data is observed on July 2, August 10, August 17, August 26, August 30, September 1, September 2, September 3, and September 4, 2017. The observation includes the rainfall time, rainfall duration, rainfall, average rainfall, runoff, and the runoff coefficient. The precipitation duration is accurate to minute, the precipitation observation is accurate to 0.1mm, and the runoff observation is converted to mm, which is accurate to 0.01mm.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.

    2019-11-18 431 12 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.

    2019-11-18 383 3 View Details