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115 results for “The Qinghai-Tibet plateau”
The LGM and the Last Deglaciation lake expansion and its corresponding cold/wet climate change mode in the northern Qinghai-Tibet Plateau
<p><strong>SGH sediment dataset, Simulations of TRACE and PMIP3.</strong></p>
FIGURES 11–12 in Hydroporus sejilashan sp. n., a new diving beetle of the acutangulus - complex from Xizang, China (Qinghai-Tibet Plateau), and notes on other taxa of the genus (Coleoptera, Dytiscidae, Hydroporinae)
FIGURES 11–12. Hydroporus sejilashan sp. n.: (11) gonocoxosternum, (12) gonocoxae.
FIGURE 1 in The checklist of the tribe Olethreutini (Lepidoptera: Tortricidae) of Qinghai-Tibet Plateau
FIGURE 1. Collecting sites in Qinghai-Tibetan Plateau.
FIGURE 8 in Three new species of the spider genus Pimoa Chamberlin & Ivie, 1943 (Araneae, Pimoidae) from Qinghai-Tibet Plateau of China
FIGURE 8. Distribution of the four new Pimoa species described here.
Qinghai-Tibet Plateau Forest Cover Map 2021
<p>The name of the dataset is composed by "QTP_2021_XX_XX", when "XX" represents the range of longitude and latitude. The value "0" means non-forest pixel, "1" means forest pixel.</p>
FIGURE 3 in Achnatherum pilosum (Stipeae, Poaceae), a new species from Qinghai-Tibet Plateau
FIGURE 3. Distribution map of Achnatherum pilosum.
Data from: Comparative transcriptomic analysis revealed adaptation mechanism of Phrynocephalus erythrurus, the highest altitude lizard living in the Qinghai-Tibet Plateau
Background: Organisms living at high altitudes must overcome three major environmental challenges: hypoxia, cold, and intense UV radiation. The molecular mechanisms that enable these challenges to be overcome have mainly been studied in endothermic organisms; relatively little attention has been paid to poikilothermic species. Here, we present deep transcriptome sequencing in two closely related lizards, the high altitude-dwelling Phrynocephalus erythrurus and the lowland-dwelling P. putjatia, to identify candidate genes under positive selection and to explore the convergent evolutionary adaptation of poikilothermic animals to high altitude life. Results: More than 70 million sequence reads were generated for each species via Illumina sequencing. De novo assembly produced 56,845 and 63,140 transcripts for P. erythrurus and P. putjatia, respectively. P. erythrurus had higher Ka/Ks ratios than P. putjatia, implying an accelerated evolutionary rate in the high altitude lizard lineage. 206 gene ontology (GO) categories with accelerated evolutionary rates and 43 candidate positively selected genes were detected along the P. erythrurus lineage. Some of these GO categories have functions associated with responses to hypoxia, energy metabolism and responses to UV damage. We also found that the high-altitude ranid frog R. kukunoris had higher Ka/Ks ratios than the closely related low-altitude frog R. chensinensis, and that the functional categories with accelerated evolutionary rates in R. kukunoris overlapped extensively with those detected along the P. erythrurus lineage. Conclusions: The mechanisms of high altitude adaptation in P. erythrurus were tentatively inferred. By comparing two pairs of low- and high-altitude poikilothermic species, we found that similar functional categories had undergone positive selection in high altitude-dwelling Phrynocephalus and Rana lineages, indicating that similar mechanisms of adaptation to high altitude might have evolved in both genera. Our findings provide important guidance for future functional studies on high altitude adaptation in poikilothermic animals.
Figure 5 from: Shi J-S, Liu J-C, Giri R, Owens JB, Santra V, Kuttalam S, Selvan M, Guo K-J, Malhotra A (2021) Molecular phylogenetic analysis of the genus Gloydius (Squamata, Viperidae, Crotalinae), with description of two new alpine species from Qinghai-Tibet Plateau, China. ZooKeys 1061: 87-108. https://doi.org/10.3897/zookeys.1061.70420
Figure 5 Bayesian inferenced tree of the genus Gloydius, along with some relative genus of the family Viperidae, based on 12S, 16S, ND4, and cytb sequences, with the maximum likelihood bootstrap supports (left, regular) and Bayesian posterior probabilities (right, italic) displayed on the nodes (those <50% are displayed as "-"). Holotypes are marked with asterisks.
Figure 4 from: Shi J-S, Liu J-C, Giri R, Owens JB, Santra V, Kuttalam S, Selvan M, Guo K-J, Malhotra A (2021) Molecular phylogenetic analysis of the genus Gloydius (Squamata, Viperidae, Crotalinae), with description of two new alpine species from Qinghai-Tibet Plateau, China. ZooKeys 1061: 87-108. https://doi.org/10.3897/zookeys.1061.70420
Figure 4 Color rendered three-dimensional model of Gloydius lipipengi sp. nov. (holotype, IVPP OV 2720) A dorsal view B palatal view, mandibles not shown C lateral view. Abbreviations: bo, basioccipital; bs, basisphenoid; col, columella; cp, compound bone; d, dentary; ecp, ectopterygoid; exo, exoccipital; f, frontal; na, nasal; ma, maxilla; p, parietal; pcr, prearticular crest of compound bone; pfr, prefrontal; pmx, premaxilla; po, postorbital; pp, palatine process of maxilla; pro, prootic; psp, parasphenoid rostrum; pt, pterygoid; sac, surangular crest of compound bone; spm; septomaxilla; so, supraoccipital; sp, splenial; st, supratemporal; v, vomer. Conducted by Ye-Mao Hou and Jingsong Shi.
Figure 2 from: Shi J-S, Liu J-C, Giri R, Owens JB, Santra V, Kuttalam S, Selvan M, Guo K-J, Malhotra A (2021) Molecular phylogenetic analysis of the genus Gloydius (Squamata, Viperidae, Crotalinae), with description of two new alpine species from Qinghai-Tibet Plateau, China. ZooKeys 1061: 87-108. https://doi.org/10.3897/zookeys.1061.70420
Figure 2 Holotype of Gloydius lipipengi sp. nov. (IVPP OV 2720) in preservative A dorsal view B ventral view.
Figure 7 from: Shi J-S, Liu J-C, Giri R, Owens JB, Santra V, Kuttalam S, Selvan M, Guo K-J, Malhotra A (2021) Molecular phylogenetic analysis of the genus Gloydius (Squamata, Viperidae, Crotalinae), with description of two new alpine species from Qinghai-Tibet Plateau, China. ZooKeys 1061: 87-108. https://doi.org/10.3897/zookeys.1061.70420
Figure 7 The habitat of Gloydius lipipengi sp. nov. (A Muza Village, Zaty, Tibet, type locality of G. lipipengi sp. nov. B the landscape of the Nujiang River, 15 km from the type locality) and Gloydius swild sp. nov. (C Heishui, Sichuan) A and B Photographs by Jin-Cheng Liu.
Figure 1 from: Shi J-S, Liu J-C, Giri R, Owens JB, Santra V, Kuttalam S, Selvan M, Guo K-J, Malhotra A (2021) Molecular phylogenetic analysis of the genus Gloydius (Squamata, Viperidae, Crotalinae), with description of two new alpine species from Qinghai-Tibet Plateau, China. ZooKeys 1061: 87-108. https://doi.org/10.3897/zookeys.1061.70420
Figure 1 Gloydius lipipengi sp. nov. (A, BIVPP OV 2720, holotype) and Gloydius swild sp. nov. (CIVPP OV 2725, holotype, DIVPP OV, 2726, paratype) in life, not to scale.
Figure 3 from: Shi J-S, Liu J-C, Giri R, Owens JB, Santra V, Kuttalam S, Selvan M, Guo K-J, Malhotra A (2021) Molecular phylogenetic analysis of the genus Gloydius (Squamata, Viperidae, Crotalinae), with description of two new alpine species from Qinghai-Tibet Plateau, China. ZooKeys 1061: 87-108. https://doi.org/10.3897/zookeys.1061.70420
Figure 3 Head squamation of Gloydius lipipengi sp. nov. (Holotype, IVPP OV 2720: A lateral view B dorsal view C ventral view) and G. swild sp. nov. (Holotype, IVPP OV 2725: D lateral view E dorsal view F ventral view). Scale bar: 10 mm.
Figure 6 from: Shi J-S, Liu J-C, Giri R, Owens JB, Santra V, Kuttalam S, Selvan M, Guo K-J, Malhotra A (2021) Molecular phylogenetic analysis of the genus Gloydius (Squamata, Viperidae, Crotalinae), with description of two new alpine species from Qinghai-Tibet Plateau, China. ZooKeys 1061: 87-108. https://doi.org/10.3897/zookeys.1061.70420
Figure 6 Type localities of Gloydius lipipengi sp. nov. (red triangles) and G. swild sp. nov. (black triangles), with the collection localities of some other congeneric species.
Data from: Comparative transcriptomic analysis revealed adaptation mechanism of Phrynocephalus erythrurus, the highest altitude lizard living in the Qinghai-Tibet Plateau
Open the record for dataset details and reuse information.
Dataset of trend-preserving bias-corrected daily temperature, precipitation and wind from NEX-GDDP and CMIP5 in the Qinghai-Tibet Plateau——Part Ⅳ
<p>A bias-corrected dataset containing daily meteorological data of the Qinghai-Tibet Plateau has been generated, by using a trend-preserving bias-correction, the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) approach together with a high-quality gridded meteorological dataset based on ground observation (CN05.1). The data set contains daily bias-corrected values of maximum/minimum near-surface air temperature, precipitation and mean near-surface wind speed from 15 models from the Fifth Phase of the Coupled Model Intercomparison Project (CMIP5) and their downscaled high-resolution dataset (NEX-GDDP) in the Qinghai-Tibet Plateau (QTP) during 1986-2095. This dataset can provide important reference for the study on future climate change and its impacts in the Qinghai-Tibet Plateau region.</p> <p><strong>Note: For Wind in historical periods, the value "2333" refers to no data. Set them to NaN before using, for example (Matlab): Wind(Wind==2333)=nan;</strong></p> <p>More details about this dataset can be found in the article: S. Chen, T. Ye, W. Liu, A. Wang and P. Shi. Evaluation and bias correction of the historical and future near-surface climate forcing in NEX-GDDP and CMIP5 over the Qinghai-Tibet plateau[J], Plateau Meteorology (in Chinese), 2020, DOI: 10.7522/j.issn.1000-0534. 2020. 00019.</p>
Dataset of trend-preserving bias-corrected daily temperature, precipitation and wind from NEX-GDDP and CMIP5 in the Qinghai-Tibet Plateau——Part Ⅲ
<p>A bias-corrected dataset containing daily meteorological data of the Qinghai-Tibet Plateau has been generated, by using a trend-preserving bias-correction, the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) approach together with a high-quality gridded meteorological dataset based on ground observation (CN05.1). The data set contains daily bias-corrected values of maximum/minimum near-surface air temperature, precipitation and mean near-surface wind speed from 15 models from the Fifth Phase of the Coupled Model Intercomparison Project (CMIP5) and their downscaled high-resolution dataset (NEX-GDDP) in the Qinghai-Tibet Plateau (QTP) during 1986-2095. This dataset can provide important reference for the study on future climate change and its impacts in the Qinghai-Tibet Plateau region.</p> <p><strong>Note: For precipitation in historical periods, the value "2333" refers to no data. Set them to NaN before using, for example (in Matlab):<br> Pr(Pr==2333)=nan;</strong></p> <p>More details about this dataset can be found in the article: S. Chen, T. Ye, W. Liu, A. Wang and P. Shi. Evaluation and bias correction of the historical and future near-surface climate forcing in NEX-GDDP and CMIP5 over the Qinghai-Tibet plateau[J], Plateau Meteorology (in Chinese), 2020, DOI: 10.7522/j.issn.1000-0534. 2020. 00019.</p>
The combined effects of monsoon and westerly winds on millennial-scale environmental change in the northern Qinghai-Tibet Plateau
<p>This dataset includes modern data, surface sedimentary geochemical data, paleoclimate simulation data。</p>
Data from: Nitrogen controls the net primary production of an alpine Kobresia meadow in the northern Qinghai-Tibet Plateau
Net primary production (NPP) is a fundamental property of natural ecosystems. Understanding the temporal variations of NPP could provide new insights into the responses of communities to environmental factors, whilst also contributing to a better assessment of regional carbon storage. However, few studies based on long-term field biomass measurements have directly addressed this subject in the unique environment of the Qinghai-Tibet plateau (QTP). we examined the interannual variations of NPP during 2008-2015 by monitoring both aboveground net primary productivity (ANPP) and belowground net primary productivity (BNPP), and identified their relationships with environmental factors by adopted the general linear model (GLM)and structural equation model (SEM). In addition, the interannual variation of root turnover and its controls were also investigated. The results show that the ANPP and BNPP increased by rates of 15.01 g/m2 and 143.09 g/m2 per year during 2008-2015, respectively. BNPP was mainly affected by growing season air temperature (GST) and growing season precipitation (GSP) rather than mean annual air temperature (MAT) or mean annual precipitation (MAP), while ANPP was only controlled by GST. In addition, available nitrogen (AN) was significant positively associated with BNPP and ANPP. Root turnover rate averaged 30% /yr, increased with soil depth, and was largely controlled by GST. Our results suggest that alpine Kobresia meadow was an N-limited ecosystem, the NPP on the QTP might increase further in the future in the context of global warming and nitrogen deposition.
Data for: Experimental study on the contribution of microbial-induced carbonate precipitation to carbon sequestration in soil from the northern Qinghai-Tibet Plateau
<p>This database contains raw data on the basic soil characteristics of the Laohugou profile and raw data from laboratory simulation experiments.</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)
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DANDI Archive for NWB datasets
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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.