Guided by the theories 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 oil-gas geological research in Pan third pole in recent years, including basic materials such as stratum, sedimentation, paleontology, paleogeography, paleoenvironment, paleoclimate, structure, oil-gas (potash) geology, especially paleomagnetism and paleogenesis On the basis of zircon and geochemical data, combined with the results of typical measured stratigraphic sections, the lithofacies and climate palaeogeographic pattern of Jurassic period are restored and reconstructed, and the paleogeographic map of lithofacies and climate of Pan third extremely early, middle and late Jurassic (3 sheets) and pan third extremely early, middle and late Jurassic (3 sheets) are obtained, aiming to discuss paleogeography and paleostructure The control and influence of paleoclimate on oil and gas (including potash) resources, in order to reveal the geological conditions and resource distribution rules of oil and gas formation, and provide scientific basis and technical support for overseas and domestic oil and gas exploration and deployment in China.
LI Yalin
Guided by plate tectonics, palaeogeography, petroleum basin analysis and sedimentary basin dynamics , a large number of data and achievements in recent years of geological and petroleum geology research in Pan-Third Pole have been collected, including basic materials such as strata, sediments, palaeontology, palaeogeography, palaeoenvironments, palaeoclimate, structure, petroleum (sylvine) geology, especially Palaeomagnetism and palaeozoic. On the basis of material, detrital zircon and geochemical data, and combined with the results of typical measured stratigraphic profiles, the lithofacies and climatic palaeogeographic pattern of the Triassic period were restored and reconstructed, and the Palaeogeographic distribution of Early, Middle and Late Triassic lithofacies in Pan-Third Pole area as well as the paleoclimatic distribution maps were obtained, aiming at discussing the control and influence of palaeogeography, palaeostructure and Palaeoclimate on hydrocarbon (potassium-bearing) resources In order to reveal the geological conditions of oil and gas formation and the law of resource distribution, and provide scientific basis and technical support for overseas and domestic oil and gas exploration and deployment in China. The boundary line between different lithofacies and climate is clear, which better reveals the paleogeographic pattern of lithofacies and climate in the Triassic period, which is of certain indicative significance for the study of the control and influence of paleogeography, paleostructure and paleoclimate on oil and gas (including potash) resources, as well as the geological conditions for the formation of oil and gas and the distribution of resources.
LI Yalin
The data set is the distribution of the average roughness in Central Asia including three temperate deserts, the Karakum, Kyzylkum and Muyunkun Deserts, and one of the world's largest arid zones. This is the MODIS-NDVI data set calculated by using the median particle diameter and the vegetation coverage. The space and time resolutions are 500 m and 16 days, respectively. The time is from 01, January, 2017 to 18, December, 2017. The data set uses the the Geodetic coordinate system. It can be used for the investigation of the Desert oil and gas field, and oasis cities.
GAO Xin
Data source description: The data are generated by arranging the literature. Test method: zircon U-Pb isotope LA-(MC)-ICPMS test; Re-Os isotope dilution method TIMS test. Data processing method: The data are automatically acquired by the analytical instrument, and the dating data are calculated using ISOPLOT software. The accuracy of the raw data: The accuracy of the zircon age test is shown in the error analysis value in the table; the accuracy of the Re-Os isotope analysis is shown in the error analysis value in the table. Data generating process: The first author personally analyzes and obtains the data, strictly in accordance with the experimental specifications Applications: Geology Data accuracy after processing: The accuracy of the processed data table is basically consistent with the analysis accuracy. The data contains 2 tables: (1) Zircon U-Pb isotope age analysis results table and (2) Whole rock and spinel Re-Os isotope 7 U-Pb zircon age data and 5 Re-Os isotope data. Data Types: Table 1: Zircon U-Pb age Data type: digital Table 2: Whole rock and spinel Re-Os isotopes Data type: digital Dimensions (unit of measure): "Zircon U-Pb age" dimension: Ma, "Re-Os isotope" dimension: ratio
DING Lin
This data set collects carbonate Sr, Mg and Ca compositions of bedrock (silicate and carbonate) and sediment (topsoils, sand, fluvial sediments, and aeolian sediments) on the northeastern Tibetan Plateau published before 2015. In the data processing method, after removing the soluble salt with water and dissolving by dilute acetic acid, the contents of Sr, Mg and Ca in supernatant are measured by ICP-OES (Inductively Coupled Plasma Emission Spectrometry). The data are obtained according to laboratory standards, and the relative standard deviation of Sr, Mg and Ca tests is less than 2%. The data set consists of six forms, which are silicate rocks, carbonate rocks, topsoils, sand, fluvial sediments and aeolian sediments. There are 7 fields in the data sheets. Field 1: "Ca", carbonate Ca content in bedrock and sediment, Field 2: "Mg", carbonate Mg content in bedrock and sediment Field 3: "Sr", carbonate Sr content in bedrock and sediment Field 4: "Mg/Ca", carbonate Mg/Ca in bedrock and sediment Field 5: "Sr/Ca", carbonate Sr/Ca ratio in bedrock and sediment Field 6: "Type", bedrock type Field 7: "Source", data source Dimensions (units of measurement): “Ca”: ppm，“Mg”： ppm; “Sr”： ppm， “Mg/Ca”： mmol/mol， “Sr/Ca”： mmol/mol
YANG Yibo
The data set mainly includes P-wave and S-wave receiver functions calculated from the waveform data collected at the southern station of the ANTILOPE-1 array, which is located in the western part of the Tibetan Plateau. This array was established by the Antelope Project of the International Lithosphere Exploration Research Program in the Tibetan Plateau. The pulse deconvolution method was applied to the time domain to calculate the receiver function. All of the receiver function data were visually inspected to remove low-quality records that were significantly different from the majority of the receiver functions. The data set was compressed into a zip format file containing two folders: ANTILOPE-1-PRF and ANTILOPE-1-SRF, where PRF and SRF represent the P-wave receiver function and the S-wave receiver function, respectively. All P-wave and S-wave receiver function data were placed in the corresponding folders. The data are mainly used to investigate the lithospheric structure and reveal the deep dynamics of plateau uplift.
XU Qiang
This data set collected zircon U-Pb isotope age data of the granites in the southern Qiangtang terrane of the Tibetan Plateau from articles published before October 2014. The data were analyzed by Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry (LA-ICPMS), Sensitive High-Resolution Ion Microprobe (SHRIMP), and Isotope Dilution Thermal Ionization Mass Spectrometry (ID TIMS). The data were obtained according to laboratory standards, and the data quality met laboratory requirements. The data contents are as follows: Region Locality Lithology Sample No. Dating method Age (Ma) References
LIU Deliang
Data source description: The data are generated by arranging the literature, and the references are as follows: [1] Huang, QS, Shi, RD, O'Reilly, SY, Griffin, WL, Zhang, M., Liu, DL, Zhang, XR, 2015. Re-Os isotopic constraints on the evolution of the Bangong-Nujiang Tethyan oceanic mantle, Central Tibet. Lithos, 224–225: 32-45. Test methods: major elements XRF test; trace elements ICP-MS test; mineral EPMA test; whole rock Re-Os isotope dilution method TIMS test; in situ sulfide LA-MC-PMS test. Data processing method: The data are automatically acquired by the analytical instrument, and the dating data are calculated using ISOPLOT software. The accuracy of the raw data: The accuracy of the major element analysis is 1-5%; the accuracy of the trace element analysis is 10%; and the accuracy of the Re-Os isotope analysis is shown in the error analysis value in the table. Data generation process: The first author has personally analyzed and obtained the data strictly in accordance with the experimental specifications. Applications: Geology Data accuracy after processing: The accuracy of the processed data table is basically consistent with the analysis accuracy. The data contain 7 tables. (1) Composition of major elements of peridotite whole rock (2) Re-Os isotope of peridotite whole rock (3) Sulfide Re-Os isotope (4) Trace elements in peridotite whole rock (5) Peridotite composition (6) Spinel composition (7) Sulfide composition 25 sets of composition data of major elements of peridotite whole rock; 42 Re-Os whole rock; 13 Re-Os sulfides; 25 trace whole rocks; 40 peridotite composition; 52 spinel composition; 16 sulfide composition. Data types: Table 1: Whole rock major elements Data type: digital Table 2: Whole Rock Re-Os Isotope Data type: digital Table 3: Sulfide Re-Os isotope Data type: digital Table 4: Whole rock trace elements Data type: digital Table 5: Peridotite composition Data type: digital Table 6: Spinel composition Data type: digital Table 7: Sulfide composition Data type: digital Dimensions (unit of measure): "whole rock major elements composition" dimension: percentage%; "Re-Os isotope" dimension: ratio; "trace element" dimension: ppm; "mineral composition" dimension: percentage%
DING Lin
This data set is the result of systematic zircon Hf isotope testing performed on granites in the Bangong Lake, Gaize, Dongqiao and Anduo areas of south Qiangtang using the multireceiving Laser Ablation Multi-Collector Inductively Coupled Plasma Mass Spectrum (LA-MC-ICP-MS) method. The data were obtained according to laboratory standards, and the quality met laboratory requirements. The data are mainly used in geological research of the Tibetan Plateau.
LIU Deliang
This data set collected the age data of ophiolite along the Bangong-Nujiang on the Tibetan Plateau in the literature published before October,2014. The data were analyzed by Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry (LA-ICPMS), Sensitive High-Resolution Ion Micro Probe (SHRIMP), Isotope Dilution Thermal Ionization Mass spectrometry (ID TIMS), Secondary Ion Mass spectrometer (SIMS), etc. The data were obtained according to laboratory standards and the quality meets laboratory requirements. Data fields: Area Location Rock type Sample No. Target mineral" Method Age Reference Interpretation Notes
LIU Deliang
This data set contains the element content data of a deep drilled formation near the open sea in the middle reaches of Heihe River. The borehole is located at 99.432 E and 39.463 n with a depth of 550m. The element scanning analysis was carried out at 1-3cm intervals for the drilled strata. The scanning was completed in the Key Laboratory of Western Ministry of environmental education, Lanzhou University, and 38705 effective element data were obtained.
HU Xiaofei PAN Baotian
Seven boreholes were drilled in the middle reaches of Heihe River. According to the sedimentary characteristics, the lithology of different layers of each borehole was described.
HU Xiaofei PAN Baotian
This data set contains two shallow drilling data near Heiquan in the middle reaches of Heihe River: 140 meters and 68.2 meters deep respectively. Paleomagnetic age samples were taken at 10-50 cm intervals from the two boreholes, and the magnetostratigraphic sequences of the two boreholes were obtained by testing these samples.
HU Xiaofei PAN Baotian
Two shallow drills near Heiquan in the middle reaches of Heihe River are 140 meters and 68.2 meters deep respectively. The physical and chemical indexes of the two boreholes are analyzed, including grain size and heavy mineral analysis.
PAN Baotian HU Xiaofei
