The data include soil organic matter data of Tibetan Plateau , with a spatial resolution of 1km*1km and a time coverage of 1979-1985.The data source is the soil carbon content generated from the second soil census data.Soil organic matter mainly comes from plants, animals and microbial residues, among which higher plants are the main sources.The organisms that first appeared in the parent material of primitive soils were microorganisms.With the evolution of organisms and the development of soil forming process, animal and plant residues and their secretions become the basic sources of soil organic matter.The data is of great significance for analyzing the ecological environment of Tibetan Plateau
Photosynthesis is a key process linking carbon and water cycles, and satellite-retrieved solar-induced chlorophyll fluorescence (SIF) can be a valuable proxy for photosynthesis. The TROPOspheric Monitoring Instrument (TROPOMI) on the Copernicus Sentinel-5P mission enables significant improvements in providing high spatial and temporal resolution SIF observations, but the short temporal coverage of the data records has limited its applications in long-term studies. We use machine learning to reconstruct TROPOMI SIF (RTSIF) over the 2001–2020 period in clear-sky conditions with high spatio-temporal resolutions (0.05°, 8-day). Our machine learning model achieves high accuracies on the training and testing datasets (R^2 = 0.907, regression slope = 1.001). The RTSIF dataset is validated against TROPOMI SIF and tower-based SIF, and compared with other satellite-derived SIF (GOME-2 SIF and OCO-2 SIF). Comparing RTSIF with Gross Primary Production (GPP) illustrates the potential of RTSIF for estimating gross carbon fluxes. We anticipate that this new dataset will be valuable in assessing long-term terrestrial photosynthesis and constraining the global carbon budget and associated water fluxes.
CHEN Xingan , HUANG Yuefei , NIE Chong , ZHANG Shuo , WANG Guangqian , CHEN Shiliu , CHEN Zhichao
Project based on Landsat_ Through manual interpretation and machine learning algorithm, tm30m remote sensing data has completed the extraction of spatial pattern distribution information of six types of ecosystems in Qilian Mountains from 1990 to 2015, including forest, farmland, grassland, wetland, settlement city and desert. This set of data can be used to study the evolution law of regional ecosystem macro pattern, ecosystem service function evaluation, major ecological restoration project planning and effect evaluation. The evolution of ecosystem macro pattern is a macro response to the evolution of natural processes driven by climate socio-economic coupling. It is also a direct reflection of land use and land cover changes. It is also an important data basis for the evaluation of the effectiveness of regional sustainable development. The research can provide data basis for the evaluation of green development index in Qilian mountain area.
Soil freezing depth (SFD) is necessary to evaluate the balance of water resources, surface energy exchange and biogeochemical cycle change in frozen soil area. It is an important indicator of climate change in the cryosphere and is very important to seasonal frozen soil and permafrost. This data is based on Stefan equation, using the daily temperature prediction data and E-factor data of canems2 (rcp45 and rcp85), gfdl-esm2m (rcp26, rcp45, rcp60 and rcp85), hadgem2-es (rcp26, rcp45 and rcp85), ipsl-cm5a-lr (rcp26, rcp45, rcp60 and rcp85), miroc5 (rcp26, rcp45, rcp60 and rcp85) and noresm1-m (rcp26, rcp45, rcp60 and rcp85), The data set of annual average soil freezing depth in the Qinghai Tibet Plateau with a spatial resolution of 0.25 degrees from 2007 to 2065 was obtained.
PAN Xiaoduo, LI Hu
This database includes the occurrence records of birds in Qinghai-Tibet Plateau produced during the fieldtrip in December 2020 to January 2021. The geographical area mainly covers the middle-down stream of the Yarlung Zangbo River and eastern coast of Namtso lake, covering mang vallies, villiages and wetlands of Lhasa, Linzhi, Shannan, Rikaze. The information of each record is composed of species name, coordinates, date of field observation and observers.
The data set product contains the aboveground biomass and vegetation coverage data products of the Qinghai-Tibet Plateau every five years from 1990 to 2020 (1990, 1995, 2000, 2005, 2010, 2015 and 2020).The aboveground biomass of the Qinghai-Tibet Plateau is the remote sensing inversion product of above-ground biomass inversion models based on different land cover types including grassland, forest, etc. Vegetation coverage data of the Qinghai-Tibet Plateau is inversed using remote sensing by the dimidiate pixel model. Among them, the aboveground biomass and vegetation coverage data from 2000 to 2020 were estimated based on MODIS data, the spatial resolution was 250 m; the aboveground biomass and vegetation coverage data of 1990 and 1995 were estimated based on NOAA AVHRR data, the spatial resolution after resampling process is 250 m. This dataset can provide basic data for revealing the temporal and spatial pattern of land cover areas and quality on the Qinghai-Tibet Plateau and supporting the assessment of ecosystems, ecological assets and ecological security.
Monthly data of 7cm soil moisture in the surface layer of China. The time range includes the historical period 1850-2014 and the future period 2015-2100 (the future period includes four different shared socio-economic paths: ssp1-2.6, ssp2-4.5, ssp3-7.0 and ssp5-8.5). The spatial resolution is 0.25 °. This data is based on the deep learning method, taking the 7cm surface soil moisture data of era5 land as a reference, and integrating the surface soil moisture data of 25 scaled down cmip6 models. In the context of climate change, data can be used for drought and vegetation correlation analysis.
The data is the land cover data of the Qinghai Tibet Plateau, with a spatial resolution of 300 meters and a temporal resolution of years. The data includes three periods of 1995, 2005 and 2015. The data is in grid format (TIFF), using the 2000 national geodetic coordinate system, and can be opened using software tools such as ArcGIS and envi. The original data comes from the European Copernicus climate change service data center. With reference to the "land cover classification system" developed by the food and Agriculture Organization of the United Nations, the global land cover types are divided into 22 categories. Because of its high accuracy, consistency and annual update, this data has been widely used in the fields of land use and human activity change monitoring worldwide. Based on the original data, this data is obtained in ArcGIS through clipping, projection, accuracy verification, and quality audit by a second person. The data quality is reliable.
This data set includes daily values of temperature, pressure, relative humidity, wind speed, wind direction, precipitation, radiation, water vapour pressure and other elements obtained from the Integrated Observation and Research Station of the Westerly Environment in Muztagh Ata from 18 May 2003 to 31 December 2016. The data are obtained by an automatic meteorological station (Vaisala) that recorded one measurement every 30 minutes. The data set was processed as a continuous time series after the original data were quality controlled. This data set satisfies the accuracy requirements of the meteorological observations of the National Weather Service and the World Meteorological Organization (WMO), and the systematic errors caused by the tracking data and sensor failure have been eliminated. The data set has mainly been applied in the fields of glaciology, climatology, environmental change research, cold zone hydrological process research and frozen soil science. Furthermore, this data set is mainly used by professionals engaged in scientific research and training in atmospheric physics, atmospheric environment, climate, glaciers, frozen soil and other disciplines.
WANG Yuanwei, XU Baiqing
Based on the non survey method, referring to the provincial input-output table and county-level statistical data of the Qilian Mountain region, the project compiled the input-output table of the Qilian Mountain Region in 2017. This table provides a data basis for analyzing the production and consumption of regional economy and the virtual water resources contained in its products or services. The input-output table uses the input-output tables of Qinghai Province, Inner Mongolia Autonomous Region and Gansu Province in 2017, analyzes the industrial production, residents' consumption and interregional trade information of districts and counties included in the Qilian Mountains, and constructs the input-output table of the Qilian Mountains. The input-output table is the characterization of the regional macroeconomic structure and the level of regional products or services.
A dataset of spatio-temporal change of physical and virtual water in Qilian Mountains: Using the single-region input-output method, and the 2012 input-output table of Qilian Mountains, we developed a physical water-virtual water conversion model and explored the virtual water among different departments in Qilian Mountains in 2012. The law of water flow provides a theoretical basis for the optimal allocation of water resources in the natural-society complex system for the research on the optimal allocation of "mountains, waters, forests, fields, lakes, grass and sand" in the Qilian Mountains. It has been verified that this dataset has achieved the balance between the physical water consumption and the total virtual water consumption of various departments in the Qilian Mountains in 2012, indicating that the data is reliable. This data can provide a basis for the optimal allocation of water resources in the Qilian Mountains.
Paleozoic carbonate sequences are well developed along the road from the Leiwuqi County to the Jiangda County, Changdu, eastern Tibet. Preliminary Devonian-Carboniferous biostratigraphy studies based on macro-fauna (e.g. brachiopods and corals) have been conducted by previous researchers, but high-resolution subdivision and correlation is still lacking in study area. For example, Upper Devonian Zhuogedong Formation and Lower Carboniferous Wuqingna Formation exists near Tuoba and Wuqingna village. Abundant conodonts, rock and geochemical samples from the Nuoma section in Tuoba, Karuo District, Changdu have been collected, which was assigned to the Devonian-Carboniferous boundary interval by geological survey. Our studies would provide precise biostratigraphic correlation in this area and have important significance for redefinition of the DCB GSSP. This dataset includes the stratigraphic column and outcrop photo of the Nuoma section in Changdu (GPS coordinates: 97°49’53.06’’ E, 31°27’2.94’’ N). According to the conodont data, the Devonian-Carboniferous boundary is tentatively placed within the interval between 141 m to 188 m in this section.
The Ediacaran to early Cambrian representing the transition of Cryptozoic to Phanerozoic is one of the most important transitional periods in the earth system evolution and a hot period for the study of the origin and evolution of metazoan. Focusing on this scientific question, massive interdisciplinary studies including palaeontology, stratigraphy, geochemistry, geophysics etc. have been taken in many regions which significantly improve our understandings of this period. In the Himalaya zone, the correlative strata only have been reported and studies in a few regions in the Sub Indian Continent. The North Pakistan locating the western Himalaya is one of the adjoining areas of Tibet Plateau. For the lack of basic stratigraphic and palaeontological studies, it’s hard to confirm the exact age of the Neoproterozoic to early Cambrian strata assigned by the previous studies. Thus, for the establishment of the chronological framework in western Himalaya, it’s necessary to do more detailed investigations and sample collections to sort out the sedimentary sequence, biostratigraphy and chemostratigraphy of this interval in North Pakistan. During the expeditions in the Hazara Basin, we detailedly observed the lithostratigraphy and systematically collected samples for petrological, palaeontological and geochemical studies at Sikhar Mountain, Tarnawai Village, Salhad Village, Abbottabad Height, Sobangali, Neelor Village and Pindkhan Khel sections. The result of this preliminary investigation confirmed that the Hazara Basin deposited a relatively successive Ediacaran to early Cambrian strata.
This data is the plant diversity and distribution data of chnz016 grid on Qinghai Tibet Plateau, including the Chinese name, Latin name, latitude and longitude, altitude, collection number, number of molecular materials, number of specimens, administrative division, small place, collector, collection time and creator of plants in this grid. The data is obtained from e scientific research website（ http://ekk.kib.ac.cn/web/index/#/ ）And partially complete the identification. This data has covered the list and specific distribution information of all plants in this flora. This data can be used not only to study the floristic nature of this region, but also to explore the horizontal and vertical gradient pattern of plants in this region.
In the discussion of glacial deposition process, formation conditions and evolution, the analysis and study of Quaternary glacial sediment structure, gravel fabric, grain size characteristics, clastic minerals, clay minerals and chemical composition of moraines are of certain significance for understanding the depositional environment of moraines, the scale of glacial activities and the number of glacial periods. The results of X-ray diffraction analysis of clay minerals show that the clay mineral assemblages of all kinds of moraines are dominated by hydrated phlogopite. The composition of this clay mineral is characterized by glaciation and formation in a special environment. For example, the hydrated phlogopite in the moraine clay minerals (glacial mud) is particularly rich, which can form hydrated phlogopite clay rock. According to the results of chemical composition analysis of five moraine samples from different ages (Table 2), the highest content of SiO2 is 53.9%, followed by Al2O3, which accounts for 13.59%, followed by Cao, MgO, FeO, K2O, Fe2O3, Na2O, etc. According to analysis, the chemical composition of moraine is closely related to bedrock. However, due to the action of glaciers and water, its chemical composition changes greatly.
PENG Buzhuo, YANG Yichou, NIAN Yanyun
The data are obtained from pyroxene diorite and monzodiorite in yangchongli gold deposit, Tongling, Anhui Province, by means of fluid inclusion thermometry, laser Raman analysis and h, O isotope measurement. The micro thermometric data of fluid inclusions were measured by Linkam thmsg 600, the laser Raman data were analyzed by LabRAM HR evolution confocal laser Raman spectrometer, the H isotope data were analyzed by thermo Finnigan isotope ratio mass spectrometer, and the O isotope data were analyzed by Finnigan mat252 stable isotope ratio mass spectrometer. The above data have been published in high-level SCI journals, and the data are true and reliable. Through the obtained data, we can obtain the property and source of ore-forming fluid, and the metallogenic mechanism and metallogenic model of yangchongli gold deposit.
The data are the major and trace data, zircon U-Pb dating data and zircon Lu Hf isotopic data of tonalite porphyrite in tonglingpo, Guichi. The major element data of the whole rock were obtained by XRF analysis, the trace element data were obtained by ICP-MS analysis, and the zircon U-Pb dating and in-situ Lu Hf isotopic composition data were obtained by la-mc-icp-ms analysis. The above data have been published in high-level SCI journals, and the data are true and reliable. Through the data obtained, we can discuss its genesis and geological background, determine the mineralization time of tonglingpo and the influence of ore bearing quartz diorite porphyrite on copper enrichment, so as to better restrict their relationship with copper mineralization.
From October to November 2021, we used camera traps to collect mammal diversity and distributions along the elevational gradients at the Yarlung Zangbo Grand Canyon National Nature Reserve. We retrived images of 262 camera traps placed between May 2021 and October 2021. We obtained 12391 pictures of wild animals,41 species of large and medium mammals were recorded.. The camera traps were reset in the same locations after renew batteries and memory cards.Camera trap data could inventory endangered species in the region, and provide information to identify biodiversity hotspots and conservation priorities.
The data are the whole rock major and trace data, Sr nd Pb isotopic data, zircon U-Pb dating data and pyrite S isotopic data of adakitic rocks in baoshujian, Anqing Guichi ore concentration area. The major element data of the whole rock were obtained by XRF analysis, trace element data by ICP-MS analysis, zircon U-Pb dating and in-situ Lu Hf isotopic composition data by la-mc-icp-ms analysis, and pyrite S isotopic composition data by MC-ICP-MS analysis. The above data have been published in high-level SCI journals, and the data are true and reliable. Through the obtained data, we can explore and summarize the diagenetic process and mineralization of baoshujian mining area, and then fill in the gap in the mineralization period of 1455ma in the Guichi ore concentration area of Anqing, and provide theoretical support for the prospecting work of baoshujian and even the whole Guichi ore concentration area of Anqing. At the same time, it has a certain guiding significance for the division of metallogenic epoch in the middle and lower reaches of the Yangtze River.
This dataset includes data recorded by the Qinghai Lake integrated observatory network obtained from phenology camera observation data of the Alpine meadow and grassland ecosystem Superstation from January 1 in 2021 to December 31 in 2021. Data of January 31 to April 14 is missing due to the spilled storage. The site (98°35′41.62″E, 37°42′11.47″N) was located in the alpine meadow and alpine grassland ecosystem, near the SuGe Road in Tianjun County, Qinghai Province. The elevation is 3718m. The phenology camera adopts a vertical downward method to collect data, with the resolution of 2592*1944. Phenology photos in this data set were taken at 12:10 a day, which has a time error of ±10 min. The image is named as BSDCJZ BEIJING_IR_Year_Month_Day_Time.