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496 results for “Tibetan Plateau”
FIGURE 1 in Hydnotrya qinghaiensis sp. nov. (Discinaceae, Pezizales) from Tibetan Plateau, China
FIGURE 1. Phylogenetic relationships of Hydnotrya species inferred from nrDNA-ITS sequences using maximum likelihood (ML) analysis. Bootstrap values ≥70% (left) and Bayesian posterior probabilities ≥0.95 (right) were provided above branches. Sequences generated in this study were shown in bold. Sequences of Hydnotrya qinghaiensis ind. 1 and Hydnotrya qinghaiensis ind. 2 were from two different ascocarps of the holotype (HMAS 350656).
FIGURE 3 in Hydnotrya qinghaiensis sp. nov. (Discinaceae, Pezizales) from Tibetan Plateau, China
FIGURE 3. Scanning electron micrographs of Hydnotrya qinghaiensis (HMAS 350656, Holotype). A: Asci and extended paraphyses (indicated by arrow). B, C: Coated ascospores in asci. D, E: Exposed ascospores. F: Broken ascospores showing exosporium. Bars: A–B 50 μm; C 20 μm; D–F 10 μm.
Impact of a gravity wave process on the upper stratospheric ozone valley on the Qinghai-Tibetan Plateau
<p>The data sets are the results of WRF simulation and are used to plot the figures in this paper (Figure 8 to 11)</p>
Prominent creep characteristics of thermokarst landslides on the Qinghai-Tibetan Plateau owing to climate warming
<ul><li>Thermokarst landslides inventory </li></ul>
Upper-mantle anisotropy in the southeastern margin of Tibetan Plateau revealed by fullwave SKS splitting intensity tomography
<p>This dataset contains the raw 3-component 100s SKS waveforms, measured splitting intensities and our final inverted anisotropic model for SE Tibet.</p>
Lake_TP: annual improved maps to understand the complete evolution of 9 thousand lakes on the Tibetan Plateau in 1991-2023
<p>Lake_TP (shapefile format): this dataset records the annual spatial distributions and water areas of 9789 lakes (over 0.1 km²) that appeared on the Tibetan Plateau from 1991 to 2023.</p>
Atmospheric water vapor stable isotopes at Lulang, southeastern Tibetan Plateau
<p>These data had been published in the following paper. If you use them, please cite this paper.</p> <p>M. Chen, J. Gao, L. Luo, A. Zhao, X. Niu, W. Yu, Y. Liu, G. Chen, Temporal variations of stable isotopic compositions in atmospheric water vapor on the Southeastern Tibetan Plateau and their controlling factors, Atmospheric Research, 2024, 107328, https://doi.org/10.1016/j.atmosres.2024.107328.</p>
Focal mechanism solutions of the earthquakes in the SE Tibetan Plateau (Sichuan-Yunnan region)
<p>Focal mechanism solutions determined by the CAP method</p>
Organic and inorganic carbon sinks reduce long-term deep carbon emissions in the continental collision margin of the southern Tibetan Plateau: Implications for Cenozoic climate cooling
<p>Hydrogeochemical data including aqueous chemistry, hydrogen and oxygen isotopes, gas components, gas helium, carbon isotopes from southern Tibet. Supporting the manuscript titled "Organic and inorganic carbon sinks reduce long-term deep carbon emissions in the continental collision margin of the southern Tibetan Plateau: Implications for Cenozoic climate cooling".</p>
An annual 30 m cultivated pasture dataset of the Tibetan Plateau from 1988 to 2021
<p><span>Cultivated pastures have rapidly developed across the Tibetan Plateau over the past several decades, raising concerns about grassland degradation. Accordingly, considerable attention is focused on the protection of grassland ecosystems. However, the high-resolution spatial distribution of cultivated pastures on the Tibetan Plateau remains poorly understood, primarily due to the difficulty of discriminating cultivated pastures from </span><span>non-cultivated pastures<span> using remote sensing techniques. The absence of such information hinders efficient agricultural and livestock husbandry management, making it challenging to support ecological protection and restoration efforts. Here, we mapped the cultivated pastures on the Tibetan Plateau at a 30-m resolution </span></span><span>for the years 1988 to 2021 </span><span>using the Landsat data on the Google Earth Engine (GEE) cloud computing platform. We built a Random Forest (RF) binary classification model with inputs of the spectral-temporal metrics of Landsat images acquired in the growing season, as well as ancillary topographic data. The model was trained using carefully selected training samples and validated against 2,000 independent random reference points. The model achieved an overall accuracy of 97.05% ± 0.4%</span><span> and an F1 spatial consistency score of 82.51% ± 14.22% (Precision: 90.04% ± 6.18%, Recall: 76.74% ± 9.91%)</span><span>, suggesting high confidence in </span><span>mapping the</span><span> distribution of cultivated pastures. </span><span>We produced a dataset of cultivated pasture maps for the years from 1988 to 2021 for Qinghai Province and the Tibet Autonomous Region on the Tibetan Plateau, covering 77% of the plateau. </span><span>To o</span><span>ur knowledge, we are the first to map cultivated pastures on the Tibetan Plateau, and our RF binary classification approach holds promise in identifying cultivated pastures in other regions of the world, which could prove invaluable for scientists, policymakers, ecological conservation practitioners, and herdsmen.</span></p>
Distribution. Widespread in the Tibetan Plateau from Ladakh in India, E across China including parts of the Xinjiang, Gansu, Qinghai, and Sichuan provinces and all of the Xizang. In Nepal, N of the Himalaya, especially in the Mustang area. in Canidae
Distribution. Widespread in the Tibetan Plateau from Ladakh in India, E across China including parts of the Xinjiang, Gansu, Qinghai, and Sichuan provinces and all of the Xizang. In Nepal, N of the Himalaya, especially in the Mustang area.
Subspecies and Distribution. U. a. arctos Linnaeus, 1758 — Europe and W Russia. U. a. alascensis Merriam, 1896 — most of Alaska (excluding Alaska Peninsula, SE panhandle & Kodiak Island group). U. a. beringianus Middendorff, 1853 — NE Russia (Kamchatka Peninsula & N Kuril Islands northward through the Koryak Autonomous District, and along W coast of the Sea of Okhotsk). U. a. collaris Cuvier, 1824 — Russia (Siberia, from E of the Yenisey River to the Bering Sea, but excluding Kamchatka and more southern parts of the Russian Far East), N Mongolia. U. a. dalli Merriam, 1896 — SE Alaska (N of Alexander Archipelago). U. a. gyas Merriam, 1902 — Alaska peninsula. U. a. horribilis Ord, 1815 —W Canada (Yukon, North-West Territories, British Columbia & Alberta), inland W USA (extirpated from S Wyoming to Mexico). U. a. isabellinus Horsfield, 1826 — N India, Pakistan, Afghanistan, N to Kazakhstan and Mongolia (Gobi Desert). U. a. lasiotus Gray, 1867 — Russia (Southern Kuril Islands, Sakhalin, Ussuri/Amur river region of the Russian Far East), NE China, North Korea, and Japan (Hokkaido). U. a. middendorffi Merriam, 1896 — Alaska (Kodiak Island & nearby islands). U. a. pruinosus Blyth, 1853 — Tibetan Plateau, China, N Nepal. U. a. sitkensis Merriam, 1896 — SE Alaska (Alexander Archipelago & adjacent coastal area). U. a. stikeenensis Merriam, 1914 — W Canada (W British Columbia), and formerly W USA (W Washington and Oregon). U. a. syriacus Hemprich & Ehrenberg, 1828 — Middle East, from Turkey to Iran (extirpated in Syria), Caucasus mountains of Russia, Georgia, Armenia and Azerbaijan. in Ursidae
Subspecies and Distribution. U. a. arctos Linnaeus, 1758 — Europe and W Russia. U. a. alascensis Merriam, 1896 — most of Alaska (excluding Alaska Peninsula, SE panhandle & Kodiak Island group). U. a. beringianus Middendorff, 1853 — NE Russia (Kamchatka Peninsula & N Kuril Islands northward through the Koryak Autonomous District, and along W coast of the Sea of Okhotsk). U. a. collaris Cuvier, 1824 — Russia (Siberia, from E of the Yenisey River to the Bering Sea, but excluding Kamchatka and more southern parts of the Russian Far East), N Mongolia. U. a. dalli Merriam, 1896 — SE Alaska (N of Alexander Archipelago). U. a. gyas Merriam, 1902 — Alaska peninsula. U. a. horribilis Ord, 1815 —W Canada (Yukon, North-West Territories, British Columbia & Alberta), inland W USA (extirpated from S Wyoming to Mexico). U. a. isabellinus Horsfield, 1826 — N India, Pakistan, Afghanistan, N to Kazakhstan and Mongolia (Gobi Desert). U. a. lasiotus Gray, 1867 — Russia (Southern Kuril Islands, Sakhalin, Ussuri/Amur river region of the Russian Far East), NE China, North Korea, and Japan (Hokkaido). U. a. middendorffi Merriam, 1896 — Alaska (Kodiak Island & nearby islands). U. a. pruinosus Blyth, 1853 — Tibetan Plateau, China, N Nepal. U. a. sitkensis Merriam, 1896 — SE Alaska (Alexander Archipelago & adjacent coastal area). U. a. stikeenensis Merriam, 1914 — W Canada (W British Columbia), and formerly W USA (W Washington and Oregon). U. a. syriacus Hemprich & Ehrenberg, 1828 — Middle East, from Turkey to Iran (extirpated in Syria), Caucasus mountains of Russia, Georgia, Armenia and Azerbaijan.
Distribution. Fragmented distribution in the Tibetan Plateau in China (Xinjiang, Xizang & Qinghai); one population drifts from S Xinjiang into NW India (Ladakh) and another from Qinghai to Gansu, China. in Bovidae
Distribution. Fragmented distribution in the Tibetan Plateau in China (Xinjiang, Xizang & Qinghai); one population drifts from S Xinjiang into NW India (Ladakh) and another from Qinghai to Gansu, China.
Topographic Relief Response to Fluvial Incision in the Central Tibetan Plateau: Evidence From Cosmogenic 10Be
<p>Fluvial incision, regarded as one of the fundamental geomorphic processes, drives the evolution of mountainous landscapes. The transitional landscape from low-relief to high-relief in the central Tibetan Plateau is rapidly evolving as it is influenced by river dynamics, climate change and tectonic uplift. Combining cosmogenic <sup>10</sup>Be depth profile dating and topographic analysis, this study provides new constraints on the formation and destruction of low-relief surfaces in the central Tibetan Plateau. We find that the high-relief landscape in the Suoqu area (a major tributary of the upper Nu River) shows a rapid fluvial incision rate of 710 ± 70 mm kyr<sup>−1</sup> since the late Pleistocene, while the low-relief topography in the adjacent Xiaqiuqu area presents an order of magnitude lower incision rate of 70 ± 10 mm kyr<sup>−1</sup>. These results are consistent with the long-term (multi-million-year) exhumation rates derived from low-temperature thermochronology, suggesting that this region has experienced an evolving incision history. We interpret that the higher relief was caused by enhanced fluvial incision, and the lower relief was slowly developed by sedimentation and relatively steady low exhumation rate. The presence of a knickzone appears to mark the boundary between these differentially incising landscapes, which may be caused by rapid headward retreat and higher river discharge in the Suoqu River. The coincidence of fluvial terraces ages with climate-driven events, in addition to paleodenudation rates, indicates that the formation of fluvial terraces in the Xiaqiuqu and Suoqu areas might be associated with the quick sedimentation of weathered materials in early warming periods.<span> </span></p>
ARFM(Adaptive receiver function seismic migration): codes and dataset for application in SE Tibetan plateau
<p>We develop a post-stack adaptive receiver function (RF) seismic migration method to image subsurface disconitnuities. Contents of numerical experiments are in the compressed file 'program_synthetic_experiments.tar'. RF dataset and codes for the application of the adaptive receiver function migration method in southeastern Tibetan plateau are in other compressed files.</p>
Mercury isotope trace magma mixing and crust-mantle interactions in the Yidun arc, eastern Tibetan Plateau
<p>Magma mixing between mafic and felsic melts is widespread in open magmatic process. However, tracing the magma sources of different endmembers is challenging, because elemental and isotopic information of different endmembers commonly achieved equilibrium during magma interactions. Mantle and crustal reservoirs show distinct signatures of mercury (Hg) isotope mass-independent fractionation, making Hg isotope an emerging tool to trace mantle- and crustal-derived magmas. Here we report the Hg isotope data of two types (Type-I and Type-II) of mafic microgranular enclaves (MMEs) and their host granitoids, which have similar whole-rock Sr-Nd and zircon Hf isotope composition, from the Daocheng-Cuojiaoma batholith, Eastern Tibetan Plateau, SW China. Zircon U-Pb dating indicates both the host granitoids and two types of MMEs formed coevally at ca. 216 – 217 Ma, coherent to the subduction of Garzê–Litang ocean (a branch of Paleo-Tethys ocean). The host granitoids are metaluminous to weakly peraluminous characteristics (A/CNK = 0.98 – 1.05) and exhibit negative to slightly positive ∆<sup>199</sup>Hg values (-0.2 to 0.02 ‰), indicating their source magma was a mixture of terrestrial sediments- and mantle-derived melts. Type-I MMEs display arc-like trace element patterns, low SiO<sub>2</sub> (53.8 to 55.0 wt%) and positive ∆<sup>199</sup>Hg values (0.00 to 0.10 ‰), indicating their derivation from a subduction-related fluid/melt metasomatized mantle source. Type-II MMEs show intervening concentrations of major/trace elements, and intermediate ∆<sup>199</sup>Hg values (-0.18 to 0.02), suggesting they were generated via mixing between the temporally and spatially coexisting first two magmas (i.e., type-I MMEs and granitoid). This study demonstrates the powerful use of Hg isotope for understanding magma sources and crustal-mantle interactions.</p>
Data from: Joint effects of environmental filtering and dispersal limitation on species assemblage of the Tibetan Plateau
<p><strong>Aim</strong> Mountains harbour a rich and non-random cluster of species, yet knowledge on the species' biological attributes that support species coexistence in the montane community is limited. Here, we investigated the association of species occurrence on the Tibetan Plateau with species' morphological, ecological or evolutionary constraints.</p> <p><strong>Location</strong> Tibetan Plateau (TP)</p> <p><strong>Taxon</strong> Mammals and birds</p> <p><strong>Methods </strong>We tested whether species occurrence on the TP correlates with morphological, ecological, or evolutionary constraints using the spatial distribution, phylogeny, dispersal ability, and thermal niche property data for 1,353 terrestrial vertebrates (383 mammals and 970 birds). We used standard (non-phylogenetic) and phylogenetic logistic regressions to disentangle the relative contributions of these attributes of species in explaining the species occurrence on the TP. We assessed the geographical patterns of community structures on the TP and fit linear mixed models to explore the underlying eco-evolutionary forces.</p> <p><strong>Results</strong> The TP species exhibited a higher cold tolerance, wider thermal niche breadth, and higher rate of niche evolution than the non-TP species. We supported the assumption that the TP species was not a random subset from the species pool, but was structured jointly by environmental filtering and dispersal limitation. While dispersal and ecological processes underlying species assemblages varied spatially and among taxa, we found that species in stressful environments was limited by environmental filtering, whereas dispersal limitation was more pronounced under favourable climatic conditions.</p> <p><strong>Main conclusions</strong> Our study finds that environmental filtering and dispersal limitation jointly shape the species assemblage on the TP. These findings provide significant insights into community assembly processes on the TP and other montane ecosystems on Earth, especially those that are sensitive to global warming.</p>
Distribution. Widespread in the Tibetan Plateau from Ladakh in India, E across China including parts of the Xinjiang, Gansu, Qinghai, and Sichuan provinces and all of the Xizang. In Nepal, N of the Himalaya, especially in the Mustang area. in Canidae
Distribution. Widespread in the Tibetan Plateau from Ladakh in India, E across China including parts of the Xinjiang, Gansu, Qinghai, and Sichuan provinces and all of the Xizang. In Nepal, N of the Himalaya, especially in the Mustang area.
Estimation of paleotemperature recorded in carbonaceous fault rocks by rock magnetism and vitrinite reflectance — A study from the Haiyuan fault zone in northeastern Tibetan Plateau
<p>A dataset for the article of "<strong>Estimation of paleotemperature recorded in carbonaceous fault rocks by rock magnetism and vitrinite reflectance — A study from the Haiyuan fault zone in northeastern Tibetan Plateau</strong>"</p>
County-level of particle and gases emission inventory for animal dung burning in the Qinghai–Tibetan Plateau, China
<p><strong>County-level of particle and gases emission inventory for animal dung burning in the Qinghai–Tibetan Plateau, ChinaCounty-level of particle and gases emission inventory for animal dung burning in the Qinghai–Tibetan Plateau, China</strong></p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.