The contents include: geological map of pailou molybdenum gold polymetallic deposit, section map of No.7 exploration line of pailou molybdenum gold polymetallic deposit, geological map of Mashi copper mine, section map of No.4 exploration line of Mashi copper mine, geological map of Matou copper molybdenum deposit. There are 10 gold ore bodies and 7 molybdenum ore belts in pailou deposit. The length and thickness of individual gold ore bodies are tens of meters and 0.28 – 4.00 meters. The gold grade of pailou deposit is 1.19 – 22.0 g / T. The molybdenum ore body is 400-600 m long and 1.50-6.50 m thick, and mainly occurs in granodiorite (porphyry) and hornblende near the contact zone with surrounding rock. The average grade of molybdenum is 0.04 – 0.13 wt%. The ore of pailou deposit is mainly pyrite, molybdenite and disseminated ore. The ore minerals are mainly composed of molybdenite, pyrite, stibnite and a small amount of pyrrhotite. The main gangue minerals are quartz, feldspar, sericite and chlorite. There are dozens of copper ore bodies in Mashi copper deposit, with copper grade of 0.21 – 0.34 wt%. Copper orebodies of 330-600m in length and 20-50m in thickness were found in granodiorite (porphyry) and cryptoexplosive breccia. The main alteration types of Mashi deposit are silicification, sericitization and pyritization. Matou molybdenum copper deposit is a medium porphyry deposit with molybdenum reserves of 60000 T and copper resources of more than 100000 t. The main alteration types of Matou deposit are silicification, sericitization and potassic feldsparization. The ore in Matou deposit is mainly chalcopyrite, molybdenite, quartz vein ore and disseminated ore. The above data have been published in SCI high-level journals, and the data are true and reliable. The data is stored in JPG format.
XIE Jiancheng
Supported by the national key R & D Program "deep processes and resource effects of Yanshanian major geological events" project "comprehensive geophysical exploration and deep processes of key corridors", we completed two OBS wide-angle seismic profiles in the East China Sea shelf area in 2017 and 2019. Based on the obtained OBS Data, the deep crustal structure of the East China Sea shelf is obtained by using the forward and inversion methods of tomography. The velocity structure reveals that the crustal thickness decreases from 30km in Zhejiang Fujian orogenic belt to 15km in continental shelf basin, and the corresponding crustal velocity changes from 4.40-7.15km/s to 4.30-6.90km/s. Based on the previous studies, we find that there are high magnetic anomalies in Zhejiang Fujian orogenic belt. We think that the crustal structure of Zhejiang Fujian orogenic belt is quite different from that of continental shelf basin. The East China Sea may not be the extension of South China continental margin; There is a high velocity anomaly with a width of about 50km and a velocity of 7.15km/s at the junction of Zhejiang Fujian orogenic belt and continental shelf basin. We speculate that the anomaly is a Mesozoic suture zone, and the high velocity anomaly is related to the magmatic activity caused by plate tearing when the paleo Pacific plate subducted and retreated.
DING Weiwei, WEI Xiaodong
This data includes three maps: (a) tectonic map of China; (b) geological map of Late Mesozoic Magmatic Rocks and related deposits in the middle and lower reaches of the Yangtze River metallogenic belt; (c) geological map of Chizhou mining area in eastern China. The information in the map includes regional fault distribution, study area location, porphyry stratabound Cu Au Mo deposit, skarn Fe Cu deposit, magnetite apatite deposit, A-type granite belt, Cretaceous volcanic and subvolcanic rocks, late Mesozoic granodiorite and granite. Based on the systematic geochronological and geochemical analysis of the Cu Mo polymetallic deposits in the Ma'anshan fault zone and gaotan fault zone in the East Liuzhou area, the paper makes a deep study on the formation of Cu Mo polymetallic deposits and the genesis of granodiorite (porphyry) in Chizhou area. The above data are published in high-level SCI journals, and the data are true and reliable. The data is stored in JPG format.
XIE Jiancheng
The data are zircon U-Pb geochronology data of volcanic rocks, whole rock major and trace geochemical data and Sr nd HF radiogenic isotope data, major element geochemical data of minerals and zircon Hf isotope data. The samples were collected from the volcanic rocks of the qushenla formation in the Gaize area, South Qiangtang, Tibet. The U-Pb isotopic data of zircon were obtained by laser ablation inductively coupled plasma mass spectrometry and secondary ion probe analysis. The major and trace geochemical data of the whole rock were obtained by X-ray fluorescence spectrometry and inductively coupled plasma mass spectrometry. The SR nd Hf isotopic data were obtained by ICP-MS with multiple receivers, the major element data of minerals were obtained by EPMA, and the zircon Hf isotopic data were obtained by ICP-MS with laser ablation and multiple receivers. The obtained data can define the age, petrogenesis and dynamic process of regional magmatism.
HAO Lulu
The data of major and trace elements were analysed by ICP-MS at the State Key Laboratory of Isotope Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences. Zircon U-Pb ages and trace elements were analysed by LA-ICP-MS at the Key Laboratory of Mineralogy and Metallogeny of CAS, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences. The international standard samples and reference values measured in the same batch are consistent within the error range, with low blank in the whole process. The data quality is accurate and reliable. The samples of Guandian pluton show high SiO2 (59.15-62.32%), Al2O3 (14.51-15.38%), Sr (892-1184 ppm), Sr/Y (57.63-86.32) and low Y (12.65-18.05 ppm), similar to typical geochemical features of adakite. The Guandian adakite also exhibits high K2O (2.88-3.86%), MgO (3.89-5.24%) and Mg# (55-60), negative anomalies of high field strength elements (HFSE, e.g., Nb, Ta and Ti) and positive anomalies of Ba, Pb and Sr. LA-ICP-MS zircon U-Pb dating yielded a weighted average age of 129.2 ± 0.7 Ma. Calculations of zircon Ce4+/Ce3+ (6.79-145) and (Eu/Eu*)N (0.23-0.42) on the basis of in situ zircon trace element analysis indicate that the magma had a lower oxygen fugacity relative to the ore-bearing adakites in the LYRB and Dexing, which is consistent with the fact of ore-barren in the research area. In combination with previous research, we propose that Guandian adakite was formed by partial melting of delaminated lower continental crust triggered by Early Cretaceous ridge subduction of the Pacific and Izanagi plates.
LUO Zebin
The data set is the original repeated GPS observation data along Gyirong - Nyima profile trans active deformation Himalayan orogenic belt in Tibet Plateau. The data are measured twice in 2018 and 2019, including the data of 13 stations, and the data quality is good. Through the observation data of these observation points, combined with the continuous GPS observation profile data that the project research team has deployed along Yadong Gulou in the Himalayan orogenic belt, we can reveal the horizontal and vertical distribution characteristics of the northward converging strain of the Indian continent in the key parts of the Himalayan orogenic belt, understand the current uplift state of the Himalayan orogenic belt and its correlation with horizontal movement, and combine with the active faults Based on the theory of motion dislocation, the quantitative distribution of strain between earthquakes in the main boundary fault (MBT) and the main central fault (MCT) is studied, as well as the strain accumulation characteristics, fault locking range and fault locking degree between earthquakes, which provide important constraints for evaluating the seismic risk of active faults in the study area. Combined with the 2015 Nepal earthquake rupture model, the southern margin of Tibetan Plateau is studied from the perspective of motion to dynamics Lithospheric rheological characteristics.
HE Jiankun
The data of this paper include: (1) impact factor data: 90m resolution DEM data, China 1 ∶ 250000 grade 1, grade 3, grade 4 and grade 5 River classification data set, which are from the international scientific data mirror website of computer network information center of Chinese Academy of Sciences（ http://www.gscloud.cn ); The spatial distribution data of 1 ∶ 1000000 vegetation types in China (1971-2000), 1 ∶ 500000 geological map of Qinghai Province, 1 ∶ 4000000 geomorphologic map of China and road map of Qinghai Province were obtained from the resource and environmental science data center of Chinese Academy of Sciences（ http://www.resdc.cn ); The annual average rainfall data (1971-2000) is from China Meteorological science data sharing service network（ http://www.data.ac.cn ); The fault data are Holocene active faults, which are derived from the research results of Dong Zhiping (1992)（(2) Geological disaster data: the historical geological disaster data (1 ∶ 100000) is from the geological environment monitoring station of Qinghai Province; The provincial data of major geological hazards are from the Department of natural resources of Qinghai Province（ http://zrzyt.qinghai.gov.cn )。(3) Basic data: the population data comes from the results of the sixth census of the National Bureau of statistics in 2010; The 1:250000 County digital administrative division map of Qinghai Province is from the national basic geographic information center（ http://www.ngcc.cn )。 In this paper, the information model and entropy method are used to calculate the landslides, landslides, debris flows and comprehensive susceptibility index of Hehuang Valley, so as to regionalize the study area. The information model is used to determine the susceptibility index of landslides and landslides. In the evaluation of geological hazard susceptibility, the information model takes the disaster point as the evaluation object, and the influence factor of geological hazard is the evaluation index of the model. The closeness between the model and the research object is evaluated by calculating the contribution degree of each factor. The higher the information is, the higher the susceptibility coefficient is.
HOU Guangliang
The data are the radioisotope dating data of magmatic and metamorphic rocks, the major and trace geochemical data of whole rock and the major geochemical data of minerals. Samples were collected from diorite and garnet biotite schist in Gangdese belt, Nimu area, southern Tibet. The U-Pb isotopic data of zircon and monazite were obtained by laser ablation inductively coupled plasma mass spectrometry. The major and trace geochemical data of the whole rock are obtained by X-ray fluorescence spectrometry and inductively coupled plasma mass spectrometry. The main geochemical data of minerals are obtained by EPMA. The age of regional magmatism and metamorphism can be determined by the obtained data.
MA Xuxuan
Debris flow in Nanfeng area is a natural disaster phenomenon caused by the combination of many natural factors. It is affected by the terrain, geology and climate. Therefore, the formation and development of debris flow fully reflect the organic combination of various natural factors. The modern geomorphic process in Nanfeng area is very active, and the glaciation, canyon flow and slope physical and geological processes are very strong. The data analysis shows that due to the sharp rise of the ground and the strong invasion of the Yarlung Zangbo River water system, most of the gullies are V-shaped, short and steep, and the vertical gradient of the gully bed is large, about 500 ‰ in the upper reaches and about 400 ‰ on average, and 250-300 ‰ in the middle and lower reaches. This kind of steep valley terrain is easy to form debris flow under the action of turbulent current. Under the action of gravity, landslides and collapses occur continuously in the valley. According to the investigation, most of the terrain slopes favorable for the formation of debris flow in Nanfeng area are above 30 degrees, and the upper valley slope in this area can generally reach 40-50 degrees, and the maximum can reach 60-70 degrees. The middle and lower valley slopes are also between 35-40 degrees, which are favorable for the development of debris flow.
PENG Buzhuo, YANG Yichou
Data source: tabular data in comprehensive investigation series of Kekexili area. This paper summarizes the strata of xijinwulan belt, Kekexili area and Tanggula area in the northern slope of Tanggula Mountain. Based on the previous regional geological survey results and the paper "Introduction to the geology of Kekexili and its adjacent areas in Qinghai", this paper is based on the paleontological, stratigraphic and structural characteristics. From south to north, qingkekexili area can be divided into four different stratigraphic and structural divisions: xijinwulan belt in Tanggula area, Kekexili area and East Kunlun area. Tanggula area and xijinwulan zone, East Kunlun area and Kekexili area are separated by the northern margin of Tanggula Mountain and the southern margin of East Kunlun Mountain respectively, while the boundary between xijinwulan zone and Kekexili area is roughly on the north side of xijinwulan and the north slope of Fenghuoshan.
SHA Jingeng
The dataset includs borehole core lithology, altitude survey, soil thickness and slop measurement, hydrogeological survey, and hydrogeophysical survey in the Maqu catchment of the Yellow River source region in the Tibetan Plateau. The borehole lithology data is from the 2017 drilled borehole ITC_ Maqu_ 1; altitude survey was carried out using RTK in 2019; Soil thickness and slope data were collected by auger and inclinometer in 2018 and 2019; hydrogeological survey includes groundwater table depth measurements in 2018 and 2019, and aquifer test data obtained in 2019; hydrogeological survey includes Magnetic Resonance Sounding (MRS) , Electrical Resistivity Tomography (ERT) , Transient Electromagnetic (TEM) , and magnetic susceptibility measurements. MRS and ERT surveys were conducted in 2018. TEM and magnetic susceptibility measurements were carried out in 2019.
LI Mengna, ZENG Yijian, Maciek W. LUBCZYNSKI, BOB Su, QIAN Hui
Lithofacies analysis is an important research method to explore the source region, background, and nature of sedimentary basins. Through the systematic investigation of several late Cretaceous strata in Nepal, situated on the south flank of the Himalayas, the Tulsipur and Butwal sections conducted detailed lithology and sedimentary facies analysis. Continuous strata include the Taltang Fm. , Amile Fm. , Bhainskati Fm. and Dumri Fm. from bottom to top. The lithology contains terrigenous clastic rocks such as conglomerate, sandstone, siltstone and mudstone, chemical rocks such as limestone and siliceous rock, as well as special lithology such as coal seam, carbonaceous layer and oxidation crust. Both sections have various colors and sedimentary structures, which are good materials for the analysis of lithofacies evolution. According to the characteristics of lithofacies and sedimentary assemblage revealed that the Nepal sedimentary environment evolution during the late Cretaceous, which experienced the marine, fluvial, lacustrine, and delta evolution process.
MENG Qingquan MENG Qingquan
Guided by the theory of plate tectonics, paleogeography, petroliferous basin analysis and sedimentary basin dynamics, we have collected a large number of data and achievements of geological research and petroleum geology in recent years, including strata, sedimentation, paleontology, paleogeography, paleoenvironment, paleoclimate, structure, oil and gas (potash) geology and other basic materials, especially paleomagnetism, Paleogene Based on the data of detrital zircon and geochemistry, combined with the results of typical measured stratigraphic sections, the lithofacies and climate paleogeographic pattern of Cretaceous were restored and reconstructed, and two lithofacies paleogeographic maps of early and late Cretaceous of Pan tertiary and two climate paleogeographic maps of early and late Cretaceous of Pan tertiary were obtained, aiming at discussing the influence of paleogeography, paleostructure and paleoclimate In order to reveal the geological conditions and resource distribution of oil and gas formation, and provide scientific basis and technical support for China's overseas and domestic oil and gas exploration deployment.
LI Yalin
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.
ZHANG Huiping
The river steepness index, concavity index, drainage area, hypsometric integral, erosion coefficient, erosion rate, precipitation and other Geomorphological data of Qilian Shan basins are extracted and collected. Where the river steepness index and concavity index were extracted based on the SRTM (Shuttle Radar Topography Mission) 3 arc-seconds DEM data, the catchment erosion rate are from Palumbo et al. (2010) and Palumbo et al. (2011), and the precipitation data is from Geng et al. (2017). In order to increase the credibility of the data, the range of the river steepness index of each basin is given when the confidence is 95%. The data laid a foundation for the analysis of the relationship between the geomorphic characteristics and the tectonic framework of Qilian Shan.
HU Xiaofei, ZHANG Yanan
Paleomagnetic Dataset of Zagros forelandbasin in IranPaleomagnetic Dataset of Zagros forelandbasin in IranPaleomagnetic Dataset of Zagros forelandbasin in IranPaleomagnetic Dataset of Zagros forelandbasin in IranPaleomagnetic Dataset of Zagros forelandbasin in IranPaleomagnetic Dataset of Zagros forelandbasin in Iran
SUN Jimin
These datasets fill the data gap between GRACE and GRACE-FO, they contain CSR RL06 Mascon and JPL RL06 Mascon. They take China as the study area, and the dataset includes "Decimal_time”, "lat”, "lon”, "time”, "time_bounds”, "TWSA_REC" and "Uncertainty" 7 parameters in total. Among them, "Decimal_time” corresponds to decimal time. There are 191 months from April 2002 to December 2019 (163 months for GRACE data, 17 months for GRACE-FO data, and 11 months for the gap between GRACE and GRACE-FO. We have not filled the missing data of individual months between GRACE or GRACE-FO data). "lat" corresponds to the latitude range of the data; "lon" corresponds to the longitude range of the data; "time" corresponds to the cumulative day of the data from January 1, 2002. And "time_bounds" corresponding to the cumulative day at the start date and end date of each month. “TWSA_REC" represents the monthly terrestrial water storage anomalies from April 2002 to December 2019 in China; "Uncertainty" is the uncertainty between the data and CSR RL06 Mascon products. We use GRACE satellite data from CSR GRACE/GRACE-FO RL06 Mascon solutions (version 02), China Gauge-based Daily Precipitation Analysis (CGDPA, version 1.0) data, and CN05.1 temperature dataset. The precipitation reconstruction model was established, and the seasonal and trend terms of CSR RL06 Mascon products were considered to obtain the dataset of terrestrial water storage anomalies in China. The data quality is good as a whole, and the uncertainty of most regions in China is within 5cm. This dataset complements the nearly one-year data gap between GRACE and GRACE-FO satellites, and provides a full time series for long-term land water storage change analysis in China. As the CSR RL06 Mascon product, the average value between 2004.0000 and 2009.999 is deducted from this dataset. Therefore, the 164-174 months (i.e., July 2017 to May 2018) of this dataset can be directly extracted as the estimation of terrestrial water storage anomalies during the gap period. The reconstruction method for the gap of JPL RL06 Mascon is consistent with that of CSR RL06 Mascon.
ZHONG Yulong, FENG Wei, ZHONG Min, MING Zutao
The data set of hydrogeological elements in the typical frozen soil area of Qilian Mountain mainly includes groundwater type, water richness (single water inflow or single spring flow), main rivers and tributaries, spring water (falling springs, spring groups, large springs, Mineral spring distribution), borehole (pressure water borehole, submerged borehole, gravity flow borehole distribution), fault zone (compressive fracture, tensile fracture), angle unconformity boundary, parallel unconformity boundary, west branch of upper Heihe River The boundary of the watershed, the seasonal frozen soil area and the permafrost distinguish the boundary, the distribution of modern glaciers and swamps. This data set of hydrogeological elements can provide background information for the hydrological ecological process and hydrogeological environment in cold regions. This data comes from the vectorization of four 1: 200,000 hydrogeological maps (Qilian, Yenigou, Qilian, and Sunan) and reintegrates the groundwater types. With higher resolution, the data can provide background information for the research on the evolution of water and soil resources and environmental changes in the source area of the Pan-Third Pole River.
SUN Ziyong
This data set is from the paper: Ding, L., Spicer, R.A., Yang, J., Xu, Q., Cai, F.L., Li, S., Lai, q.z., Wang, H.Q., Spicer, t.e.v., Yue, Y.H., Shukla, A., Srivastava, g., Khan, M.A., BERA, S., and Mehrotra, R. 2017. Quantifying the rise of the Himalaya origin and implications for the South Asian monsoon. Geography, 45:215-218. This achievement is part of a series of research results of paleoaltitude carried out by Ding Lin' team. We reconstruct the rise of a segment of the southern flank of the Himalaya-Tibet orogen, to the south of the Lhasa terrane, using a paleoaltimeter based on paleoenthalpy encoded in fossil leaves from two new assemblages in southern Tibet (Liuqu and Qiabulin) and four previously known floras from the Himalaya foreland basin. U-Pb dating of zircons constrains the Liuqu flora to the latest Paleocene (ca. 56 Ma) and the Qiabulin flora to the earliest Miocene (21–19 Ma). The proto-Himalaya grew slowly against a high (~4 km) proto–Tibetan Plateau from ~1 km in the late Paleocene to ~2.3 km at the beginning of the Miocene, and achieved at least ~5.5 km by ca. 15 Ma. Contrasting precipitation patterns between the Himalaya-Tibet edifice and the Himalaya foreland basin for the past ~56 m.y. show progressive drying across southern Tibet, seemingly linked to the uplift of the Himalaya orogen.
DING Lin
The dataset is the teleseismic waveform data from the Gyirong – Peiku Tso short-period dense seismic array profile. The data can be used to receiver function methods to probe the structure of the crust and upper mantle. The Gyirong – Peiku Tso profile crosses the north-south Gyirong Rift, and the data are derived from 134 short-period seismic stations set up by the subject group along the east-west Gyirong – Peiku Tso profile, with strict site selection and good data quality. This profile provides an important scientific basis for revealing the velocity discontinuity morphology below the Chilung Rift Valley, i.e., the interfacial extension of the Indian continent swooping northward in the crust below the Himalayan zonation, and for further understanding the lateral changes of the MHT interface and the dynamics of the east-west extension of the Tibetan Plateau.
XU Qiang
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