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 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.

    2019-11-17 456 6 View Details

  • Water quality dataset of Qixiangcuo Lake (2017)

    Water quality dataset of Qixiangcuo Lake (2017)

    This is the water quality data of the vertical profile of the observation point in Qixiangcuo Lake. There are two observation points. It is observed on July 4, 2017. The data is stored as an excel file.

    2019-11-17 473 5 View Details

  • Water quality dataset of Saibucuo lake (2017)

    Water quality dataset of Saibucuo lake (2017)

    This is the water quality data of the vertical profile of the observation point in Saibucuo Lake. The data is observed on June 30, 2017. The data is stored as an excel file.

    2019-11-17 447 6 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.

    2019-11-17 448 10 View Details

  • Water quality dataset of Zigetangcuo Lake (2017)

    Water quality dataset of Zigetangcuo Lake (2017)

    This is the water quality data of the vertical profile of the observation point in Zigetangcuo Lake. The data is observed on July 8, 2017. The data is stored as an excel file.

    2019-11-17 675 10 View Details

  • Integration dataset of Tibet Plateau boundary

    Integration dataset of Tibet Plateau boundary

    The integration dataset of Tibetan Plateau boundary includes: TPBoundary_2500m:Based on ETOPO5 Global Surface Relief, ENVI+IDL is used to extract the longitude of the Tibetan Plateau (65~105) and the altitude of 2500 meters above the latitude (20~45); TPBoundary_3000m:Based on ETOPO5 Global Surface Relief, ENVI+IDL is used to extract the longitude of the Tibetan Plateau (65~105) and the altitude of 3000 meters above the latitude (20~45); TPBoundary_HF (High Frequency):Li Bingyuan (1987) has conducted a systematic discussion on the principle and specific boundary of determining the scope of the Qinghai-Tibet Plateau. From the perspective of the formation and basic characteristics of plateau geomorphology, Based on the geomorphological features, the plateau surface and its altitude, and considering the integrity of the mountain as the basic principle for determining the plateau range.Zhang Yili (2002) according to the results of new research in related fields and years of field practice, demonstration principles to determine the scope and boundaries of the Tibetan Plateau, Based on the information technology method, the location and boundary position of the Qinghai-Tibet Plateau are accurately located and quantitatively analyzed. It is concluded that the Qinghai-Tibet Plateau is partly in the Pamir Plateau in the west, the Hengduan Mountains in the east, the southern margin of the Himalayas in the south, and the Kunlun Mountains in the north. Mountain - north side of Qilian Mountain. On April 14, 2017, the Ministry of Civil Affairs of the People's Republic of China issued the "Announcement on Supplementing the Public Use of Place Names in the Southern Region of Tibet (First Batch)", adding Wujianling, Mirage, Qu Dengbu, and Mechuca 6 places in southern Tibet such as Baimingla Mountain Pass and Namkam;. TPBoundary_rectangle:According to the range Lon (63~105E) & Lat (20~45N), The data is projected using latitude and longitude WGS84.. Project source: national natural science foundation of China (41571068,41301063) Spatial range and projection mode of data: elevation greater than 2500m, WGS84 projection As the basic data, the boundary of qinghai-tibet plateau can be used as a reference for all kinds of geoscientific research on Qinghai-Tibet Plateau.

    2019-11-13 1419 90 View Details

  • The precipitation from May to September on the Tibetan Plateau and surrounding areas (1957-2015)

    The precipitation from May to September on the Tibetan Plateau and surrounding areas (1957-2015)

    The data set contains annual precipitation from May to September on the Tibetan Plateau and surrounding areas during 1957 to 2015, with a data resolution of one year. The raw data were obtained from the National Meteorological Information Center of the China Meteorological Administration (https://data.cma.cn). The default data were replaced with multiyear average values. The data are in two columns: The first column is the year; The second column is precipitation, unit: millimeters.

    2019-11-13 338 10 View Details

  • Data of climatic elements in the Qinghai Tibet Plateau (annual average temperature 1990-2015)

    Data of climatic elements in the Qinghai Tibet Plateau (annual average temperature 1990-2015)

    This data set is the data set of climate factors in the Qinghai Tibet Plateau from 1990 to 2015. It records the spatial distribution change of annual average temperature in the past 25 years. The data is in TIF grid format, with a spatial resolution of 1km and an annual average temperature unit of 0.1C. The data comes from the daily observation data of meteorological stations on the Qinghai Tibet Plateau, which is generated by time aggregation calculation and spatial interpolation processing. As an important climate factor, the data set can be used to study the annual average temperature change and climate change of the Qinghai Tibet Plateau. As the climate background of the ecological environment change of the Qinghai Tibet Plateau, it provides data support for the study of urbanization and ecological environment interaction stress Bracing.

    2019-11-12 499 51 View Details

  • Yulong snow mountain glacier No.1, 4 506 m altitude the daily average meteorological observation dataset (2014-2018)

    Yulong snow mountain glacier No.1, 4 506 m altitude the daily average meteorological observation dataset (2014-2018)

    1. Data content: air temperature, relative humidity, precipitation, air pressure, wind speed, average total radiation, total net radiation value and daily average water vapor pressure data. 2. Data source and processing method: Observed by American campel high-altitude automatic weather station, air temperature and humidity sensor model HMP155A; wind speed and wind direction model: 05103-45; net radiometer: CNR 4 Net Radiometer four component; atmospheric pressure sensor: CS106; Rain gauge: TE525MM. The automatic weather station automatically collects data every 10 minutes, and collects daily statistical data to obtain daily average weather data. 3. Data quality description: Data is automatically acquired continuously. 4. Data application results and prospects: The weather station is located in the middle of the glacier, and the meteorological data can provide data guarantee for simulating the response of oceanic glacier changes to global climate change in the context of future climate change.

    2019-11-12 170 3 View Details

  • Human activity parameters in Qilian Mountain area (V1.0)

    Human activity parameters in Qilian Mountain area (V1.0)

    This dataset contains cultivated land and impermeable surface products in Qilian Mountain key Area from 1990 to 2015 every 5 years. The dataset came from land cover products in Qilian Mountain key Area.

    2019-11-11 364 13 View Details

  • Data of ecological elements in the Qinghai Tibet Plateau from (1990-2015)

    Data of ecological elements in the Qinghai Tibet Plateau from (1990-2015)

    This data set is the data set of ecological elements in the Qinghai Tibet Plateau from 1990 to 2015. It records the change of area proportion of wetland, grassland, forest land and sand land in 15 prefecture level units in Qinghai and Tibet every five years. The data is excel file, and the spatial resolution is the scale of prefecture level administrative unit. The data is based on the land use type data of the Qinghai Tibet Plateau, and is obtained by calculating the proportion of wetland, grassland, forest land and sand land in the area of each land unit. The data set can be used for the change analysis and research of ecological elements of the Qinghai Tibet Plateau, and can provide data support for the study of interaction stress between urbanization and ecological environment.

    2019-11-11 182 10 View Details

  • Data of land resource elements in the Qinghai Tibet Plateau (1990-2015)

    Data of land resource elements in the Qinghai Tibet Plateau (1990-2015)

    This data set is the data set of land resource elements in the Qinghai Tibet Plateau from 1990 to 2015. It records the change of land use proportion of 15 built-up areas of prefecture level units in Qinghai and Tibet every five years. The data is excel file, and the spatial resolution is the scale of prefecture level administrative unit. This data is based on the land use type data of the Qinghai Tibet Plateau, and is obtained by calculating the proportion of the built-up area in the area of each grade unit to the area of the grade unit. The data set can be used to study the spatial pattern, development process and evolution mechanism of the urbanization of the Qinghai Tibet Plateau, and provide data support for the study of the impact of the urbanization of the Qinghai Tibet Plateau on the ecological environment.

    2019-11-11 169 7 View Details

  • Changes of water balance and NDVI data in the Tarim River Basin (2002-2014)

    Changes of water balance and NDVI data in the Tarim River Basin (2002-2014)

    the spatial-temporal changes in the hydrological variables and the normalized difference vegetation index (NDVI) during 2002-2014 were investigated using multiple satellite data and a remote sensing energy balance model.

    2019-11-08 216 1 View Details

  • Data set of climatic elements of the Qinghai Tibet Plateau (rainfall 1990-2015)

    Data set of climatic elements of the Qinghai Tibet Plateau (rainfall 1990-2015)

    This data set is the data set of climatic factors in the Qinghai Tibet Plateau from 1990 to 2015, which records the spatial distribution change of annual rainfall every five years in the past 25 years. The data is in TIF grid format, with spatial resolution of 1km and annual rainfall unit of 0.1mm. The data comes from the daily observation data of meteorological stations on the Qinghai Tibet Plateau, which is generated by time aggregation calculation and spatial interpolation processing. As an important climate factor, the data set can be used to study the interannual rainfall change and climate change on the Qinghai Tibet Plateau. As the climate background of the ecological environment change on the Qinghai Tibet Plateau, it can provide data support for the study of the interactive stress between urbanization and ecological environment Bracing.

    2019-11-07 400 47 View Details

  • Future climate projection over Northwest China based on RegCM4.6 (2007-2099)

    Future climate projection over Northwest China based on RegCM4.6 (2007-2099)

    An effective assessment of future climate change, especially future precipitation forecasting, is an important basis for the rational development of adaptive strategies for Northwest China, where the ecological environment is fragile and encompasses arid and semiarid regions. Based on RegCM 4.6 model and HadGEM2-ES scenarios with four different representative concentration pathways (RCP 2.6, RCP 4.5, RCP6.0 and RCP 8.5), the climate projections of 0.25 degree in the future (2007-2099) at 3 hours, daily and yearly time scales over Northwest China are presented respectively. These data indicate that the near-surface temperature in Northwest China will continue to warm in the future under RCP 8.5 scenario. By the end of the 21st century, the temperature will become more significant. Over 6 °C, precipitation will continue to increase in the future, and will increase by 100 mm by the end of the 21st century; The number of extreme climate index summer days (SU) will continue to increase, indicating that high temperatures will be more frequent over Northwest China in future, meanwhile, the number of consecutive dry days (CDD) will decrease,

    2019-11-06 976 30 View Details

  • Distribution of the average sand drift potential of Central Asia (2017)

    Distribution of the average sand drift potential of Central Asia (2017)

    The sand drift potential data sets of Central Asia in 2017 is in tif format. It covers five countries in Central Asia, including Uzbekistan, Tajikistan, Kyrgyzstan, Kazakhstan and Turkmenistan. The sand drift potential is absolutely drift potential, that is, the sum of the flux in all directions, regardless of the direction of the potential. The data was obtained by GLDAS global three-hour assimilation data extraction calculation. The temporal resolution is month, the spatial resolution is 0.25°, and the time range is 2017. This data set can be used as an important reference data for sand storm disaster assessment.

    2019-11-01 183 0 View Details

  • Framework of mechanistic model for predicting vulnerability of reptile (ectotherm) under climate change

    Framework of mechanistic model for predicting vulnerability of reptile (ectotherm) under climate change

    This framework aims to explore the impact of climate change on the fitness of ectotherms. We obtain the morphology, physiology, behavior and life history parameters of the animals by consulting literature and experimental research; then use the microclimate model and global warming data to obtain microclimate data at the current and the end of the century; and then use the biophysical model to calculate adult body temperature and embryonic developmental temperature. We construct a life history mechanism model to calculate the energy budget of the reproductive female and the total energy of the surviving offspring, and assess the vulnerability of ectotherms in each region. The main point of this study is to construct a segmental life history mechanism model for species of two reproductive modes, so that the start time and duration of each life history can be dynamically calculated, and the energy of each life history stage can be calculated by combining energy metabolic and embryonic development models.

    2019-10-31 200 0 View Details

  • Geochemical Data Set of Lacustrine Core in Luanhaizi Lake (0-859 cm)

    Geochemical Data Set of Lacustrine Core in Luanhaizi Lake (0-859 cm)

    Luanhaizi borehole (LHZ18) was obtained by huangxiaozhong research group of Lanzhou University in August 2018. This data is geochemical element data of 0-859 cm core of Luanhaizi Lake in Qilian Mountains. The experiment was completed in the Key Laboratory of Western Ministry of environmental education of Lanzhou University. This data provides long series and high-resolution geochemical element content. The data comes from core scanning, continuous elemental content changes were obtained 0-829 cm through element change and the field records. The data provided long-time-scale elemental content changes of lakes in Qilian Mountains, and played an important role in the study of paleoclimate and Paleoenvironment in the long time series of the Qinghai-Tibetan Plateau.

    2019-10-28 209 0 View Details

  • Grain Size Data Set of Luanhaizi Lake (0-859 cm)

    Grain Size Data Set of Luanhaizi Lake (0-859 cm)

    Luanhaizi Borehole (LHZ18) was acquired by Huang Xiaozhong Research Group of Lanzhou University in August 2018. This data is 0-859 cm grain size data of the core of Luanhaizi Lake in Qilian Mountains. Grain size analysis was carried out at 0-4 m according to one sample, and grain size analysis was carried out at on ssample interval at the depth of 4-8.6 m, totaling 390 data were obtained. The experiment was completed in the Key Laboratory of the Ministry of Environmental Education of Lanzhou University, and grain size analysis was carried out with Mastersizer 2000 instrument. The data reflected the grain size change of the lake sediment, which is very important for the study of long-time series eolian activities in the Qinghai-Tibet Plateau.

    2019-10-28 350 0 View Details

  • 2019-10-28 622 9 View Details