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Institute of Tibetan Plateau Research, CAS

Address:16 Lincui Road, Chaoyang District, Beijing 100101, P.R. China

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phone:010-64833041

Archaeological site investigation and plant and animal resource utilization in the Tibet Plateau during the Neolithic and Bronze Age
  • 2019-07-06
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By archaeological investigation and excavation in Tibetan Plateau, we discovered 8 Neolithic and Bronze Age sites, including Gaomuxudi, Duojialiang, Shuikou, Qipanshan, Xinzhai, Canxionggasu, Niaodao, Bangga, Baiyangcun and so on. In this dataset, there are some basic informations about these sites, such as location, longitude, latitude, altitude, material culture and so on. On this Basis, we identified animal remains, plant macrofossil, selected some samples for radiocarbon dating and stable carbon and nitrogen isotopes. This dataset provide important basic data for understanding when and how prehistoric human lived in the Tibetan Plateau during the Neolithic and Bronze Age.

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A tree ring-based winter temperature reconstruction for the southeastern Tibetan Plateau (1340-2007)
  • 2019-06-24
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This data set is provided by the author of the paper: Huang, R. , Zhu, H. , Liang, E. , Liu, B. , Shi, J. & Zhang, R. , et al. (2019). A tree ring-based winter temperature reconstruction for the southeastern Tibetan Plateau since 1340 CE. Climate Dynamics. In this paper, in order to understand the past few hundred years of winter temperature change history and its driving factors, the researcher of Key Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences and CAS Center for Excellence in Tibetan Plateau Earth Sciences. Prof. Eryuan Liang and his research team, reconstructed the minimum winter (November – February) temperature since 1340 A.D. on southeastern Tibetan Plateau based on the tree-ring samples taken from 2007-2016. The data set contains minimum winter temperature reconstruction data of Changdu on the southeastern TP during 1340-2007. See attachments for data details: A tree ring-based winter temperature reconstruction for the southeasternTibetan Plateau since 1340 CE.pdf

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Agriculture Facilitated Permanent Human Occupation of the Tibetan Plateau after 3,600 BP
  • 2019-06-17
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This data set is collected from the supplementary Materials part of the paper "Chen, F. , Dong, G. , Zhang, D. , Liu, X. , Jia, X. & An, C. , et al. (2015). Agriculture facilitated permanent human occupation of the Tibetan Plateau after 3600 BP. Science. 347. 248-250.“. In this paper, researchers analyzed animal bones, plant remains and other artefacts from 53 sites across the northeastern Tibetan plateau and found that humans began to relocate to the elevations above 4000 masl after the emergence of Barley. According to the study, the prehistoric human expansion into the higher, colder altitudes of the Tibetan plateau took place as the continental temperatures had themselves become colder after 3,600 calendar years before the present, thus, the key impetus of the expansion was agricultural innovation rather than climate change. This data set contains 4 tables, table names and content are as follows: Data list: The data name list of the rest tables; t1: Calibrated radiocarbon dates and domesticated plant and animal remains from sites investigated on the NETP; t2: Radiocarbon dates of the Paleolithic sites on the Tibetan Plateau; t3: OSL dates of the Paleolithic sites on the Tibetan Plateau. See attachments for data details: Supplementary Materials.pdf, Agriculture Facilitated Permanent Human Occupation of the Tibetan Plateau after 3,600 BP.pdf.

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Long-term glacier melt fluctuations over the past 2500 yr in monsoonal High Asia revealed by radiocarbon-dated lacustrine pollen concentrates
  • 2019-06-11
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This data set is collected from the paper: Zhang, J. F. , Xu, B. , Turner, F. , Zhou, L. , Gao, P. , & Lü, Xinmiao, et al. (2017). Long-term glacier melt fluctuations over the past 2500 yr in monsoonal high asia revealed by radiocarbon-dated lacustrine pollen concentrates. Geology, 45(4), 359-362. The data is atracted from the supplement materials: GSA Data Repository 2017103, http://www.geosociety.org/pubs/ft2017.htm. In this paper, the researcher of Institute of Tibetan Plateau Research, Chinese Academy of Sciences and CAS Center for Excellence in Tibetan Plateau Earth Sciences, Baiqing Xu, with his doctoral student, Ji Feng Zhang, and collaborators from Peking University and other institutions, propose that the OPE (“old pollen effect”, the offset between the calibrated 14C ages of pollen in lake sediments and the sediment depositional age) as a new indicator of glacier melt intensity and fluctuations by measuring the radiocarbon ages of the sediments of a small proglacial lake of Qiangyong Glacier on the southern Tibetan Plateau with multi-methods (bulk organic matter, pollen concentrates and plant residues). According to the conceptual model in this research, young ice containing modern pollen is formed in the accumulation area and then flows slowly to the ablation area and becomes a reservoir of old pollen, intensified glacier melt releases more old pollen from the old ice enters proglacial lakes. A 2.5 k.y. record of glacier variability has been reconstructed, which agrees well with the Dasuopu ice core δ18O record and the old glacier fluctuations in the European and the Tibetan Plateau, suggesting that hemispheric-scale temperature variations and/or mid-latitude Westerlies may have controlled the late Holocene glacier variability in monsoonal High Asia. The research also shows that the 20th-century glacier melt intensity exceeded that of two historical warm epochs (the Medieval Warm Period, and the Iron/Roman Age Optimum) and is unprecedented at least for the past 2.5 k.y. This data set contains 1 table: Radiocarbon ages of bulk organic matter, pollen concentrates and PRC, the calculated ∆Age-pollen and the modelled sediment depositional ages of core QYL09-4. QYL09-4 is a 306 cm core retrieved with a piston corer in 2009 from the deepest part of Qiangyong Co at 30 m water depth. See attachments for data details: GSA Data Repository 2017103.pdf, Long-term glacier melt fluctuations over the past 2500 yr in monsoonal High Asia revealed by radiocarbon-dated lacustrine pollen concentrates.pdf.

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The Dataset of Ultramafic Mineral, Whole Rock Composition and Re-Os Isotope of Bangong Lake, Dongqiao and Nagqu in Tibet (2009-2013)
  • 2019-05-22
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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%

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Sequence Database of the Lake Core TOC, CaCO₃, Particle Size and Environmental Magnetism Parameters of Yamzhog Yumco, Southern Tibetan Plateau (600-1998)
  • 2019-05-22
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This dataset contains the sequence data of the lake core TOC, CaCO₃, particle size and environmental magnetism parameters from 600 years to 1998 of Yamdrog Yumtso in the southern part of the Tibetan Plateau. It is used to study the environmental changes in the Yamdrog Yumtso region in the 1400 years. This data set is obtained from laboratory measurements. The data are obtained immediately after the completion of the instrument or experiment. The samples and data are collected in strict accordance with relevant operating procedures at all stages and comply with the laboratory operating standards. The TOC analysis is undertaken by a CS-344 analyzer, The CaCO₃ content is measured by the general chemical method, the particle size is measured with a Malvern Mastersizer 2000 laser particle sizer, and the environmental magnetism parameters are measured with a Kappa Bridge, DIGICO magnetometer and superconducting magnetometer. The rock core was collected from Chen Co Lake in the Yamdrog Yumtso Basin in the southern part of the Tibetan Plateau; the approximate sampling location is 90.49E, 28.93N, and the lake’s elevation is 4420 m.

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Time Series Data Set of The Long-term Dry-Wet Index in Western China (AD1500-BP2000)
  • 2019-05-21
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Original information on the long-term dry-wet index (1500-2000) in western China is obtained by integrating data on dry-wet/drought-flood conditions and precipitation amounts in the western region published over more than a decade. The integrated data sets include tree rings, ice cores, lake sediments, historical materials, etc., and there are more than 50 such data sets. In addition to widely collecting representative data sets on dry-wet changes in the western region, this study also clarifies the main characteristics of the dry-wet changes and climate zones in the western region, and the long-term dry-wet index sequence was generated by extracting representative data from different zones. The data-based dry-wet index sequence has a 10-year temporal resolution for five major characteristic climate zones in the western region over nearly four hundred years and a high resolution (annual resolution) for three regions over the past five hundred years. The five major characteristic climate zones in the western region with a 10-year dry-wet index resolution over the last four hundred years are the arid regions, plateau bodies, northern Xinjiang, Hetao region, and northeastern plateau, and the three regions with a annual resolution over the last five hundred years are the northeastern plateau, Hetao region, and northern Xinjiang. For a detailed description of the data, please refer to the data file named Introduction of Dry-Wet Index Sequence Data for West China.doc.

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Holocene Sporopollen Data Set on the Northern Slope of the Tianshan Mountains
  • 2019-05-16
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The research area is located in the middle section o the northern slope of the Tianshan Mountains. The research area extends from Wusu in the Tacheng District of Xinjiang in the west to Mulei County in Changji Prefecture in the east. It is approximately 500 km long from east to west. The vertical vegetation gradient on the northern slope of the Tianshan Mountains can be divided into six different belts: alpine cushion vegetation belt (>3400 m), sub-alpine meadow belt (3400~2700 m), mid-mountain forest belt (2700~1720 m), forest steppe belt (1720~1300 m), semi-desert belt (1300~700 m) and typical desert belt (<700 m). Based on the characteristics of the vertical vegetation belts on the northern slope of the Tianshan Mountains, five sedimentary sections with different elevations, different vegetation belts and different sedimentary ages were selected for analysis. Five mid-late Holocene sections were measured to calculate the composite dissimilarity index of sporopollen, and the index was used to explain the sporopollen diversity. The index was then combined with integrated multiple analysis data, such as particle size, magnetic susceptibility, and ignition loss, and the changes in biodiversity and environmental characteristics since the mid-late Holocene in the area were assessed. The data include the following: 1. Sporopollen grain number data for the Daxigou section (8-110 cm, a total of 52 layers were analysed for sporopollen grain number, 3640±60 a BP to 890±60 a BP) 2. Sporopollen grain number data for the Xiaoxigou section (0-90 cm, a total of 38 layers were analysed for sporopollen grain number, 3240±60 a BP) 3. Sporopollen grain number data for the Huashuwozi section (0-106 cm, a total of 52 layers were analysed for sporopollen grain number, 2170±185 a BP to 450±155 a BP) 4. Sporopollen grain number data for the Sichanghu section (10-84 cm, a total of 19 layers were analysed for sporopollen grain number, 1000±50 a BP to 665±65 a BP) 5. Sporopollen grain number data for the Dongdaohaizi section (0-190 cm, a total of 64 layers were analysed for sporopollen grain number, 4500±310 a BP to 305±130 a BP) For detailed descriptions of the data, please refer to the following study: "Palaeo-biodiversity at the Northern Piedmont of Tianshan Mountains in Xinjiang During the Middle to Late Holocene"

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Data Set of Ice Core-Snow Black Carbon Content on the Tibetan Plateau (1950-2006)
  • 2019-05-14
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The data set of ice core-snow black carbon content on the Tibetan plateau (1950-2006) contains five (5) tables: 1 Xu et al. 2006 AG, 2 Xu et al. 2009 PNAS_Conc., 3 Xu et al. 2009 PNAS_flux, 4 Xu et al. 2012 ERL, 5 Wang et al. 2015 ACP. The data collection sites include the Meikuang glacier, Dongkemadi, Qiangyong, Kangwure, Naimona’nyi, Muztagata, Rongbuk, Tanggula Mountain, Ningjin Gangsang, Zuoqipu, and Glacier No. 1 at the headwaters of the Ürüqi River. The latitudes and longitudes of the collection locations, elevations and other information are marked in the data. The main indicators of the data are location, time, organic carbon (OC), elemental carbon (EC), black carbon (BC) content and flux. Location: latitude and longitude Time: year or date OC: organic carbon EC: elemental carbon BC: Black carbon Conc.: content, unit: ng g-1 Flux: flux, unit: mg m-2a-1 The data come from the following subjects. 1. National Program on Key Basic Research Project (973 Program):Temporal and Spatial Characteristics and Remote Sensing Modeling of Global Change Sensitive Factors; Person in charge: Baiqing Xu; Unit: Institute of Tibetan Plateau Research, Chinese Academy of Sciences; Supported by the Ministry of Science and Technology. 2. National Key Basic Research Program: The Response of Formation and Evolution on the Tibetan Plateau to Global Changes and Adaptation Strategy; Person in charge: Tandong Yao; Unit: Institute of Tibetan Plateau Research, Chinese Academy of Sciences; Supported by the Ministry of Science and Technology. 3. The General Program of National Natural Science Foundation of China: High-resolution Carbon Black Recording in Snow Ice of the Tibetan Plateau; Person in charge: Baiqing Xu; Unit: Institute of Tibetan Plateau Research, Chinese Academy of Sciences; Supported by the National Natural Science Foundation of China (NSFC). 4. The General Program of the National Natural Science Foundation of China: Extraction of Climate and Environment Information from Ice Core Encapsulated Gas on the Tibetan Plateau; Person in charge: Baiqing Xu; Unit: Institute of Tibetan Plateau Research, Chinese Academy of Sciences; Supported by the National Natural Science Foundation of China (NSFC). 5. National Natural Science Foundation of China for Distinguished Young Scholars: Snow and Ice-Atmospheric Chemistry and Environmental Changes on the Tibetan Plateau; Person in charge: Baiqing Xu; Unit: Institute of Tibetan Plateau Research, Chinese Academy of Sciences; Supported by the National Natural Science Foundation of China (NSFC). 6. National Natural Science Foundation of China for Distinguished Young Scholars: Study on the Changes of Aerosol Emissions and Combustion in Human Activities in South Asia in the Past 100 Years; Person in charge: Mo Wang; Unit: Institute of Tibetan Plateau Research, Chinese Academy of Sciences; Supported by the National Natural Science Foundation of China (NSFC). Observation methods: two-step heating method, thermal/optical carbon analysis method, and single-particle black carbon aerosol photometer.

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The Data Set of Ophiolite Cumulate Chronology and Isotope in Nagqu, Tibet (2011-2012)
  • 2019-05-10
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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

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