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101 results for “Qinghai-Tibetan Plateau”
Data from: Genetic adaptation of Tibetan poplar (Populus szechuanica var. tibetica) to high altitudes on the Qinghai-Tibetan Plateau
<p>Plant adaptation to high altitudes has long been a substantial focus of ecological and evolutionary research. However, the genetic mechanisms underlying such adaptation remain poorly understood. Here, we address this issue by sampling, genotyping, and comparing populations of Tibetan poplar, Populus szechuanica var. tibetica, distributed from low (~2000 m) to high altitudes (~3000 m) of Sejila Mountain on the Qinghai-Tibet Plateau. Population structure analyses allow clear classification of two groups according to their altitudinal distributions. However, in contrast to the genetic variation within each population, differences between the two populations only explain a small portion of the total genetic variation (3.64%). We identified asymmetrical gene flow from high- to low-altitude populations. Integrating population genomic and landscape genomic analyses, we detected two hotspot regions, one containing four genes associated with altitudinal variation, and the other containing ten genes associated with response to solar radiation. These genes participate in abiotic stress resistance and regulation of reproductive processes. Our results provide insight into the genetic mechanisms underlying high-altitude adaptation in Tibetan poplar.</p>
Data from: Influence of environmental factors on the genetic variation of the aquatic macrophyte Ranunculus subrigidus on the Qinghai-Tibetan Plateau
<p><b>Background: </b>Due to the environmental heterogeneity along elevation gradients, alpine ecosystems are ideal study objects for investigating how ecological variables shape the genetic patterns of natural species. The highest region in the world, the Qinghai-Tibetan Plateau, is a hotspot for the studies of evolutionary processes in plants. Many large rivers spring from the plateau, providing abundant habitats for aquatic and amphibious organisms. In the present study, we examined the genetic diversity of 13 <i>Ranunculus subrigidus</i> populations distributed throughout the plateau in order to elucidate the relative contribution of geographic distance and environmental dissimilarity to the spatial genetic pattern. </p> <p><b>Results: </b>A relatively low level of genetic diversity within populations was found. No spatial genetic structure was suggested by the analyses of molecular variance, Bayesian clustering analysis and Mantel tests. Partial Mantel tests and multiple matrix regression analysis showed a significant influence of the environment on the genetic divergence of the species. Both climatic and water quality variables contribute to the habitat heterogeneity of <i>R. subrigidus </i>populations. </p> <p><b>Conclusions: </b>Our results suggest that historical processes involving long-distance dispersal and local adaptation may account for the genetic patterns of <i>R. subrigidus</i> and current environmental factors play an important role in the genetic differentiation and local adaptation of aquatic plants in alpine landscapes.</p>
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>
CH4 and CO2 dataset for the Qinghai-Tibetan Plateau rivers
<p>该数据集整理了青藏高原河流CH4和CO2浓度和通量的直接现场测量值,以及28个采样点的位置、水文、物理和化学条件信息。这些数据对于平衡区域和全球C预算将非常有价值。</p>
Magnesium isotope constraints on the Holocene hydromagnesite formation in alkaline Lake Dujiali, central Qinghai-Tibetan Plateau
<p>This dataset contains the following nice Tables:</p> <p>1. Table S-1 Mineralogical compositions of hydromagnesite and lake sediments.</p> <p>2. Table S-2 Mg isotope and Sr data of Dujiali Lake.</p> <p>3. Table S-3 Chemical compositions of waters in Dujiali lake. </p> <p>4. Table S-4 The compilation of small rivers draining only ultramafic rocks.</p> <p>5. Table S-5 The compilation of Mg/Ca ratios (mol/mol) of alkaline lakes in the world.</p> <p>6. Table S-6 The compilation of δ 26Mg in river waters, groundwater, soil water and hydromagnesite.</p> <p>7. Table S-7 The major elements compositions of lake sediments and hydromagensite.</p> <p>8. Table S-8 Model input parameters.</p> <p>9. Table S-9: Model parameters.</p>
Suppl. material 2 from: Heng L-M, Zheng Y-L, Zhao Y-B, Wang Y-J (2018) Radiation of members of the Soroseris hookeriana complex (Asteraceae) on the Qinghai-Tibetan Plateau and their proposed taxonomic treatment. PhytoKeys 114: 11-25. https://doi.org/10.3897/phytokeys.114.29914
The 50% majority rule consensus tree derived from Bayesian inference of the combined sequences of nuclear internal transcribed spacer, psbA-trnH and matK : Explanation note: Posterior probabilities and bootstrap percentages are indicated above and below the branches, respectively. The samples named according to FOC (2011) or NCBI, Stebbins (1940) and the present study are listed from left to right.
Suppl. material 1 from: Heng L-M, Zheng Y-L, Zhao Y-B, Wang Y-J (2018) Radiation of members of the Soroseris hookeriana complex (Asteraceae) on the Qinghai-Tibetan Plateau and their proposed taxonomic treatment. PhytoKeys 114: 11-25. https://doi.org/10.3897/phytokeys.114.29914
The main morphological difference amongst members of the Soroserishookeriana complex and the closely related species :
Fig. 4 in Comparative analysis of peripheral blood reveals transcriptomic adaptations to extreme environments on the Qinghai-Tibetan Plateau in the gray wolf (Canis lupus chanco)
Fig. 4 Reconstructed mitochondrial DNA tree of the worldwide distributed wolves. The numbers at each node are the Bayesian posterior probabilities (right) and ML bootstrap propor- tions (left)
Fig. 3 in Comparative analysis of peripheral blood reveals transcriptomic adaptations to extreme environments on the Qinghai-Tibetan Plateau in the gray wolf (Canis lupus chanco)
Fig. 3 Scatterplot of enriched KEGG pathways for DEGs between the Tibetan and lowland wolves. The enrichment factor is the ratio of the DEG number to the total gene number in the pathway. The dot size and color represent the gene number and the range of the p value respectively
Fig. 1 in Comparative analysis of peripheral blood reveals transcriptomic adaptations to extreme environments on the Qinghai-Tibetan Plateau in the gray wolf (Canis lupus chanco)
Fig. 1 Gene expression profiles of blood in Tibetan and lowland wolves. a Boxplot of the log transformed FPKM expression values across eight wolf blood samples. FPKM: fragments per kilobase of exon per million fragments. The solid horizontal line represents the median, and the box
FIGURE 28 in Twenty-six new species of Saussurea (Asteraceae, Cardueae) from the Qinghai-Tibetan Plateau and adjacent regions
FIGURE 28. Distribution map of Saussurea chinduensis (C), S. dulongjiangensis (D), S. habashanensis (H), S. jiulongensis (J), S. minutiloba (Mi), S. multiloba (Mu), S. pseudojiulongensis (Pj), S. pseudolingulata (Pl), S. pseudoplatyphyllaria (Pp), S. pseudoyunnanensis (Py), S. shuiluoensis (Sh), S. sobarocephaloides (So), S. tsoongii (T), S. xianrendongensis (X), S. yangii (Ya). S. yanyuanensis (Yy), S. yui (Yu), S. zayuensis (Zy) and S. zogangensis (Zo).
FIGURE 26. Saussurea yangii. A. Habit. B. Style branches. C in Twenty-six new species of Saussurea (Asteraceae, Cardueae) from the Qinghai-Tibetan Plateau and adjacent regions
FIGURE 26. Saussurea yangii. A. Habit. B. Style branches. C. Phyllaries (from left to right, outer to inner series). D. Floret (with pappus removed). E. Inner pappus bristle. F. Outer pappus bristle. G. Anthers. H. Leaf section (adaxial surface). I. Leaf section (abaxial surface). J. Floret. All from Kham Expedition 10-2656 (PE). Drawn by Mr. Y.X. Zhu.
FIGURE 25. Saussurea pseudojiulongensis. A in Twenty-six new species of Saussurea (Asteraceae, Cardueae) from the Qinghai-Tibetan Plateau and adjacent regions
FIGURE 25. Saussurea pseudojiulongensis. A. Habit (lower part). B. Habit (upper part). C. Style branches. D. Inner pappus bristle. E. Floret (with pappus removed). F. Outer pappus bristle. G. Anthers. H. Floret. I. Phyllaries (from left to right, outer to inner series). J. Cross section of leaf. All from Qinghai-Tibetan Expedition 13287 (PE).Drawn by Mr. Y.X. Zhu.
FIGURE 23. Saussurea shuiluoensis. A in Twenty-six new species of Saussurea (Asteraceae, Cardueae) from the Qinghai-Tibetan Plateau and adjacent regions
FIGURE 23. Saussurea shuiluoensis. A. Habit (without caudex). B. Pappus. C. Achene. D. Corolla with style and anthers. E. Phyllaries (from left to right, inner to outer series). All from S. G. Wu 3467 (KUN, PE). Drawn by Mrs. P. Liu.
FIGURE 22. Saussurea sobarocephaloides. A in Twenty-six new species of Saussurea (Asteraceae, Cardueae) from the Qinghai-Tibetan Plateau and adjacent regions
FIGURE 22. Saussurea sobarocephaloides. A. Habit (lower part). B. Habit (upper part). C. Outer pappus bristle. D. Inner pappus bristle. E. Floret (with pappus removed). F. Anthers. G. Style branches. H. Floret. I. Leaf section (adaxial and abaxial surfaces). J. Phyllaries (from left to right, outer to inner series). All from T. T. Yu 3752 (PE). Drawn by Mr. Y.X. Zhu.
FIGURE 21. Saussurea yanyuanensis. A. Habit. B. Style branches. C in Twenty-six new species of Saussurea (Asteraceae, Cardueae) from the Qinghai-Tibetan Plateau and adjacent regions
FIGURE 21. Saussurea yanyuanensis. A. Habit. B. Style branches. C. Cross section of leaf. D. Phyllaries (from left to right, outer to inner series). E. Inner pappus bristle. F. Outer pappus bristle. G. Anthers. H. Floret (with pappus removed). I. Floret. J. Leaf section. All from Y. S. Chen & Y. C. Bi 11-075 (PE). Drawn by Mr. Y.X. Zhu.
FIGURE 20. Saussurea pseudoyunnanensis. A. Habit. B. Style branches. C in Twenty-six new species of Saussurea (Asteraceae, Cardueae) from the Qinghai-Tibetan Plateau and adjacent regions
FIGURE 20. Saussurea pseudoyunnanensis. A. Habit. B. Style branches. C. Phyllaries (from left to right, outer to inner series). D. Floret. E. Leaf section (abaxial surface). F. Anthers. G. Floret (with pappus removed). H. Outer pappus bristle. I. Inner pappus bristle. All from Kham Expedition 10-3032 (PE). Drawn by Mr. Y.X. Zhu.
FIGURE 19. Saussurea dulongjiangensis. A. Habit. B. Capitulum. C. Achene. D. Anther. E in Twenty-six new species of Saussurea (Asteraceae, Cardueae) from the Qinghai-Tibetan Plateau and adjacent regions
FIGURE 19. Saussurea dulongjiangensis. A. Habit. B. Capitulum. C. Achene. D. Anther. E. Floret (with pappus removed). F. Style branches. G. Floret. H. Phyllaries (from left to right, outer to inner series). I. Outer pappus bristle. J. Inner pappus bristle. All from Gaoligong shan Biodiversity Survery 17014 (KUN, E). Drawn by Mrs. Z.J. Chen.
FIGURE 18. Saussurea chinduensis. A. Habit. B. Habit. C. Floret. D. Style branches. E in Twenty-six new species of Saussurea (Asteraceae, Cardueae) from the Qinghai-Tibetan Plateau and adjacent regions
FIGURE 18. Saussurea chinduensis. A. Habit. B. Habit. C. Floret. D. Style branches. E. Floret (with pappus removed). F. Leaf section. G. Outer pappus bristle. H. Inner pappus bristle. I. Phyllaries (from left to right, outer to inner series). All from Kham Expedition 10-0931 (PE). Drawn by Mr. Y.X. Zhu.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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
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.