Brief Introduction: Second Tibetan Plateau Scientific Expedition Program
Number of Datasets: 111
2021-01-22 1128 71
The EPMA data set of single mineral of magmatic rocks in the Qinghai Tibet Plateau is mainly based on the main data of single mineral in some areas of the Hoh Xil Lhasa plate, and the single mineral test points are more than 1000. The samples were distributed in Hoh Xil lake, Baohu Lake in South Qiangtang and Narusongduo area in Gangdise. Cameca sxlivefe electron microprobe was used for single mineral electron probe. The data comes from published articles or in the acceptance stage. The data were published in SCI or Ni journals, including American mineralogist and Journal of petroleum. The main testing units are Guangzhou Institute of geochemistry, Chinese Academy of Sciences and Institute of mineral resources, Chinese Academy of Geological Sciences. The data set can be used to study the petrogenesis of magmatic rocks in different areas of the Qinghai Tibet Plateau.
2021-01-21 813 25
This data set mainly includes the whole rock SR Nd isotopic data of 83 magmatic rocks from the Hoh Xil- basin to Lhasa block in the Qinghai Tibet Plateau. The samples are mainly distributed in Hoh Xil- lake, Guoganjianian in the South Qiangtang, Dugur, Nasongduo and Saga counties in the Gangdise. Rock samples include olivine leucite, quartz monzonite, diorite and granite. The data mainly come from published articles or articles in the acceptance stage. MC-ICP-MS was used to measure SR Nd isotopes in Guangzhou Institute of geochemistry, Chinese Academy of Sciences and other key laboratories. The published articles of the data set have been included in high-level SCI or Ni journals, and the data results are true and reliable. In the future, it can be used to study the lithospheric evolution and magmatic genesis of the Qinghai Tibet Plateau.
2021-01-20 865 15
The Tibetan Plateau Glacial Data –TPG2001 is a glacial coverage data on the Tibetan Plateau in around 2000 from 150 scenes of Landsat7 TM/ETM+ images by 30 m spatial resolution. The selected Landsat7 TM/ETM+ images were within the period between 1999 and 2002, including 61 scenes (41%) in 2001 and 47 scenes (31%) in 2000. Among all the images, 71% was taken in winter. The most frequent year in this period was defined as the reference year for the mosaic image: i.e. 2001. Glacier outlines were digitized on-screen manually from the 2001 image mosaic, relying on false-colour image composites (RGB by bands 543), which allowed us to distinguish ice/snow from cloud. Debris-free ice was distinguished from the debris and debris-covered ice by its higher reflectance. Debris-covered ice was not delineated in this data. The delineated glacier outlines were compared with band-ratio (e.g. TM3/TM5) results, and validated by overlapping them onto Google Earth imagery, SRTM DEM, topographic maps and corresponding satellite images. Topographic maps from the 1970s and all available satellite images (including Google EarthTM imagery) were used as base reference data. For areas with mountain shadows and snow cover, they were verified by different methods using data from different seasons. For glaciers in deep shadow, Google EarthTM imagery from different dates was used as the reference for manual delineation. Steep slopes or headwalls were also excluded in the TPG2001. Areas that appeared in any of these sources to have the characteristics of exposed ground/basement/bed rock were manually delineated as non-glacier, and were also cross-checked with CGI-1 and CGI-2. Steep hanging glaciers were included in TPG2001 if they were identifiable on images in all three epochs (i.e. TPG1976, TPG2001, and TPG2013). The accuracy of manual digitization was controlled within one half-pixel. All glacier areas were calculated on the WGS84 spheroid in an Albers equal-area map projection centred at (95°E, 30°N) with standard parallels at 15°N and 65°N. Our results showed that the relative deviation of manual interpretation was less than 3.8%.
2021-01-20 2945 81
The data content mainly includes the main and micro data of the whole rock of some magmatic rocks in the Hoh Xil Lhasa plate of the Qinghai Tibet Plateau. The samples were mainly distributed in Hoh Xil lake, South Qiangtang guoganjianian, Dugur, and Gangdise Nasongduo and Saga counties. There are more than 300 major and trace elements in the samples, including olivine leucite, quartz monzonite, diorite and granite, which are of great significance to the study of the lithospheric evolution of the Qinghai Tibet Plateau. Data mainly come from published articles or being accepted. XRF spectroscopy was used to determine the major elements and ICP-MS was used to determine the trace elements. The data quality is highly reliable, and the testing units include the State Key Laboratory of Guangzhou Institute of geochemistry, Chinese Academy of Sciences, etc. The data are published in high-level journals, including geology, BSA bulletin and Journal of petroleum.
2021-01-19 1014 13
This data set mainly includes the non-traditional B-Mo isotopic data of Himalayan Leucogranites, which is mainly used to study the mechanism of B-Mo isotopic fractionation during the melting process, and is of great significance to the genetic study of Himalayan Leucogranites. The rocks are mainly from the granite in the Cuonadong area. Among them, there are 34 Mo samples and 48 B samples, including repeated samples. MC-ICP-MS was used for B-Mo isotopic analysis. ICP-AES and MC-ICP-MS were used for B and Mo contents in solution. The testing unit is Guangzhou Institute of geochemistry, Chinese Academy of Sciences. The data are from accepted articles published in the Journal of geochimica et cosmochimica Acta, and the data are true and reliable. It can be applied to the study of unconventional isotope fractionation and the genesis of magmatic rocks.
2021-01-19 750 19
The data set is the surface element data of Muli coal mining area in Qinghai Tibet Plateau from 2000 to 2020, which is issued every five years, with a total of five periods; it includes four sub Atlas: surface albedo, vegetation index, vegetation coverage and soil moisture, with a total of 40 image data (20 original grid data + 20 RGB composite data). The data set is a rectangular area, which is defined according to the four boundaries of the southeast, northwest and north of Muli coal mine. The surface albedo is based on landsat8 and landsat5 Remote sensing satellite, according to the annual average value calculated by Mr. Liang Shunlin's method; vegetation index using normalized vegetation index NDVI, using the maximum value synthesis method to produce the annual maximum NDVI image; vegetation coverage is based on the annual maximum NDVI composite image, using pixel binary model to calculate the annual value; soil moisture is based on TVDI method, using soil moisture measurement Data and regression method were used to make the average soil volume water content in August of each period. The data are all in grid format, and the spatial resolution is 30 meters. The data set has a certain guiding and reference significance for the study of the changes of surface elements in the Qinghai Tibet Plateau, and provides a certain value reference for the study of the changes of water resources in the Qinghai Tibet Plateau.
2021-01-18 768 4
The single mineral dating data set of magmatic rocks in the Qinghai Tibet Plateau is mainly zircon dating in some areas of the Hoh Xil Lhasa plate, with 34 zircon dating samples. The samples are mainly from baohu, guoganjianianshan and Dugur areas of South Qiangtang, Saga county and narusongduo areas of Lhasa plate. The rocks are mainly quartz monzonite, granite and diorite. The zircon dating methods include Sims and LA-ICPMS. The data comes from published articles or in the acceptance stage. The data were published in SCI or Ni journals, including geology, BSA bulletin and Journal of petroleum, and the data results were true and reliable. The main testing unit is Guangzhou Institute of geochemistry, Chinese Academy of Sciences. The data set can be used to study the age of magmatic rocks in different areas of the Qinghai Tibet Plateau.
2021-01-18 806 8
Zircon HF-O data sets of magmatic rocks in the Qinghai Tibet Plateau are mainly based on zircon HF-O isotopic data of local areas from the South Qiangtang to Lhasa plate. Zircon HF-O test points are mainly concentrated in guoganjianian mountain, baohu, Duguer of South Qiangtang and saga County of Lhasa plate. The rocks are mainly mafic dyke swarms, gneissic granite and diorite. Zircon HF-O was measured by MC-ICP-MS and Sims, respectively. The data comes from published articles or in the acceptance stage. The data were published in SCI or Ni journals, including geology, BSA bulletin and Journal of petroleum, and the data results were true and reliable. The main testing unit is Guangzhou Institute of geochemistry, Chinese Academy of Sciences. The data set can be used to study the petrogenesis and lithospheric evolution of magmatic rocks in different areas of the Qinghai Tibet Plateau.
2021-01-18 790 10
The data of greenhouse land is based on Google Earth image interpretation in Lhasa city, 2018, with a spatial resolution of 0.52 meters. Most of the greenhouses in Lhasa are regular rectangles with high reflectivity, which is easy to identify. In the process of interpretation, the open fields with an area of more than 0.10 hectares and roads with a width of more than 7 meters in the greenhouse area of protected agriculture, as well as the greenhouse covered with black textile were removed, while the small empty fields and ridges between the farmland of protected agriculture were not removed. The accuracy of interpretation is 98%. The data well reflects the spatial pattern characteristics of greenhouse land in Lhasa city.
2021-01-18 818 7
1) Establish the material flow analysis table and air pollutant emission table of Xining Special Steel Co., Ltd. (Xining Special Steel) in 2019 ，to provide support for the analysis and distribution of pollutant emission sources of regional iron and steel industry. 2) The data comes from the official website of Xining Special Steel, field survey and statistical data. Based on the official data and field survey results, some results are calculated by the relevant industry parameters 3) Due to the different sources of ore raw materials, the calculation is only for the steel production process in 2019 4) Xining Special Steel is a typical enterprise in the iron and steel industry of Qinghai Province. Its crude steel production is more than 90% of that of Qinghai Province. Therefore, the data represent the material flow characteristics of the iron and steel industry in Qinghai Province
2021-01-17 732 1
According to the distribution of cultivated land in 18 districts and counties in the "One River and Two Tributaries" region of Tibet Autonomous Region, a 5km × 5km grid was adopted, covering all cultivated land and greenhouse land. A total of 1092 5km × 5km grids were set up, and each grid contains a number. Data processing method: the fishnet tool in ArcGIS 10.3 is used to generate the grid covering the administrative boundaries of 18 districts and counties in the "one river, two rivers" region of Tibet Autonomous Region, and then the intersect tool is used to generate the grid covering cultivated land. The data can be used to collect soil samples of cultivated land in "One River and Two Tributaries" area of Tibet Autonomous Region.
2021-01-15 766 9
1) Data content: Paleomagnetic data, magnetic index data, major element percentage data and chemical weathering index can establish the paleomagnetic age framework of the Dahonggou section and restore the precipitation change and chemical weathering history in geological history. 2) Data sources and processing methods The data source is experimental data. Paleomagnetic data: a cylindrical sample of 2x2x2cm was drilled with a small gasoline drill and measured with a low-temperature superconducting magnetometer in a magnetic shielding room. Magnetic data: the samples collected in the field were ground into fine particles by mortar and put into 2x2x2 non-magnetic plastic box, and tested by kappa bridge susceptibility meter, pulse magnetometer and rotating magnetometer. Mass percentage content and chemical weathering index data of major elements in the whole sample and particle size fraction: firstly, the whole sample and particle size fraction sample were pretreated with acetic acid and hydrogen peroxide to remove carbonate and organic matter, and then pressed into a round cake with a diameter of about 4cm and a thickness of about 8mm by a pressure apparatus, and finally XRF fluorescence analysis was carried out. 3) Data quality The sample collection and experimental processing are carried out according to strict standards, and the data quality is reliable. 4) Data application achievements and Prospects Three SCI papers were published using this set of data, one of which is Ni.
2021-01-13 772 9
The data include the Cenozoic plant fossils collected from Gansu, Qinghai and Yunnan by the Department of paleontology, School of Geological Sciences and mineral resources, Lanzhou University from 2019 to 2020. All the fossils were collected by the team members in the field and processed in the laboratory by conventional fossil restoration methods and cuticle experiment methods. The fossils are basically well preserved, some of which are horned The study of these plant fossils is helpful to understand the Cenozoic paleoenvironment, paleoclimate, paleogeographic changes and vegetation features of the eastern Qinghai Tibet Plateau.
2021-01-13 883 3
The data of farmland distribution on the Qinghai-Tibet Plateau were extracted on the basis of the land use dataset in China (2015). The dataset is mainly based on landsat 8 remote sensing images, which are generated by manual visual interpretation. The land use types mainly include the cultivated land, which is divided into two categories, including paddy land (1) and dry land (2). The spatial resolution of the data is 30m, and the time is 2015. The projection coordinate system is D_Krasovsky_1940_Albers. And the central meridian was 105°E and the two standard latitudes of the projection system were 25°N and 47°N, respectively. The data are stored in TIFF format, named “farmland distribution”, and the data volume is 4.39GB. The data were saved in compressed file format, named “30 m grid data of farmland distribution in agricultural and pastoral areas of the Qinghai-Tibet Plateau in 2015”. The data can be opened by ArcGIS, QGIS, ENVI, and ERDAS software, which can provide reference for farmland ecosystem management on the QTP.
2021-01-12 897 1
The Grassland Degradation Assessment Dataset in agricultural and pastoral areas of the Qinghai-Tibet Plateau (QTP) is a data set based on the 500m Global Land Degradation Assessment Data (2015), which is evaluated according to the degree of grassland degradation or improvement. In this dataset, the grassland degradation of the QTP was divided into two evaluation systems. At the first level, the grassland degradation assessment was divided into 3 types, including no change type, improvement type and degradation type. At the second level, the grassland degradation assessment on the QTP was divided into 9 types, among which the type with no change was class 1, represented by 0. There were 4 types of improvement: slight improvement (3), relatively significant improvement (6), significant improvement (9) and extremely significant improvement (12). The degradation types can be divided into 4 categories: slight degradation (-3), relatively obvious degradation (-6), obvious degradation (-9) and extremely obvious degradation (-12). This dataset covers all grassland areas on the QTP with a spatial resolution of 500m and a time of 2015. The projection coordinate system is D_Krasovsky_1940_Albers. The data are stored in TIFF format, named “grassdegrad”, and the data volume is 94.76 MB. The data were saved in compressed file format, named “500 m grid data of grassland degradation assessment in agricultural and pastoral areas of the Qinghai-Tibet Plateau in 2015”. The file volume is 2.54 MB. The data can be opened by ArcGIS, QGIS, ENVI, and ERDAS software, which can provide reference for grassland ecosystem management and restoration on the QTP.
2021-01-12 955 53
This data set includes apatite and zircon (U-Th) / He ages, apatite fission-track (AFT) ages of the Yalong River thrust belt, which will be continuously updated in the future. The first part is the apatite and zircon He and apatite fission-track data from the Yunongxi fault, a branch fault in the hinterland of the Yalong River thrust belt. The second part of the data is from the Jinping Shan-Muli fault, a branch of the Yalong River thrust belt, including apatite and zircon He ages data. The data results are concentrated, which well constrain the evolution of the Yalong River thrust belt and provide a high-quality chronological basis for exploring its role in the process of plateau expansion.
2021-01-12 805 1
With a depositional history spanning the early Aptian to early Albian (~19 mys), the Lower Cretaceous Xinminpu Group in Jiuquan, NW China provides abundant animal and plant fossils. This area is the represented study area of the Lower Cretaceous in China. The absence of a comprehensive stratigraphical framework for this area however limits the degree to which the unit can be interpreted relative to coeval sections and the geological records in genera. This investigation from July 9 to July 11 focuses on the Lower Cretaceous in this area, and collected abundant fossil and rock samples for biostratigraphic and stratigraphic analysis. This dataset includes: stratigraphic column of the Chijinpu Formation in the East Xiagou outcrop, and photographs of outcrops and represented fossils; stratigraphic column of the Xiagou Formation in the Changma outcrop and a photo of bird-bearing outcrop.
2021-01-08 371 1
Evapotranspiration over the Qinghai Tibet Plateau is calculated by etwatch, a land surface evapotranspiration remote sensing model based on multi-scale and multi-source data. Etwatch adopts the method of combining the residual term method with P-M formula to calculate evapotranspiration. Firstly, according to the characteristics of the data image, the suitable model is selected to retrieve the evapotranspiration on a sunny day; the remote sensing model is often lack of data because the weather conditions can not obtain a clear image. In order to obtain the daily continuous evapotranspiration, the penman Monteith formula is introduced, and the evapotranspiration results on a sunny day are regarded as the "key frame", and the surface impedance information of the key frame is used as the basis to construct the surface impedance Based on the daily meteorological data, the time series data of evapotranspiration are reconstructed. Through the data fusion model, the high spatial and temporal resolution evapotranspiration data set is constructed by combining the low and medium resolution evapotranspiration temporal variation information with the high resolution evapotranspiration spatial difference information, so as to generate the 8 km resolution evapotranspiration of the Qinghai Tibet Plateau Data sets (1990-2015).
2021-01-05 541 55
Net primary productivity (NPP), as the basis of ecosystem material and energy cycle, can reflect the carbon sequestration capacity of vegetation at regional and global scales, and is an important indicator to evaluate the quality of terrestrial ecosystem. Based on the principle of light use efficiency model, the productivity model of ecosystem in national barrier area was established by coupling remote sensing, meteorology, vegetation and soil type data. In the selection of parameters, the photosynthetic effective radiation (APAR) was calculated from GIMMS NDVI 3gv1.0 data, vegetation map of China, total solar radiation and temperature and humidity data. Compared with the soil water molecular model, the regional evapotranspiration model can simplify the parameters and enhance the operability of the model. The net primary productivity (NPP) of terrestrial vegetation in 1990-2015 over the Qinghai Tibet Plateau was estimated based on the parameterized model with par and actual light use efficiency as input variables of CASA model.
2021-01-05 1045 20