Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
483
datasets available to search
ShareScore release 0.9.0
Dataset results
483 results for “Qinghai”
FIGURE 5 in A new species of Habenaria (Orchidaceae, Orchideae) from Qinghai Province, China
FIGURE 5. The glandular hairs within spur of Habenaria qinghaiensis.
Data from: Population transcriptomes reveal synergistic responses of DNA polymorphism and RNA expression to extreme environments on the Qinghai–Tibetan Plateau in a predatory bird
Open the record for dataset details and reuse information.
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.
A single mutation underlying phenotypic convergence for hypoxia adaptation on the Qinghai-Tibetan 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>
Figures 7- 8 from: Q, Lin C, Qi P, Li D, Yang D (2020) Two new species of Rhaphium from Qinghai Province, China (Diptera, Dolichopodidae, Rhaphiinae). ZooKeys 931: 73-84. https://doi.org/10.3897/zookeys.931.49671
Figures 7- 8 Habitat 7 Qinghai, Minhe, Tangeryuan Forest 8 Qinghai, Huzhu, Songduo Forest.
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: Altitudinal biodiversity patterns of seed plants along Gongga Mountain in the southeastern Qinghai-Tibetan Plateau
The mechanisms underlying elevation patterns in species and phylogenetic diversity remain a central issue in ecology and are vital for effective biodiversity conservation in the mountains. Gongga Mountain, located in the southeastern Qinghai-Tibetan Plateau, represents one of the longest elevational gradients (ca. 6500 m, from ca. 1000 - 7556 m) in the world for studying species diversity patterns. However, the elevational gradient and conservation of plant species diversity and phylogenetic diversity in this mountain remain poorly studied. Here, we compiled the elevational distributions of 2,667 native seed plant species occurring in Gongga Mountain, and estimated the species diversity, phylogenetic diversity, species density, and phylogenetic relatedness across ten elevation belts and five vegetation zones. The results indicated that species diversity and phylogenetic diversity of all seed plants showed a hump-shaped pattern, peaking at 1800 - 2200 m. Species diversity was significantly correlated with phylogenetic diversity and species density. The floras in temperate coniferous broad-leaved mixed forests, sub-alpine coniferous forests and alpine shrublands and meadows were significantly phylogenetically clustered, whereas the floras in evergreen broad-leaved forests had phylogenetically random structure. Both climate and human pressure had strong correlation with species diversity, phylogenetic diversity and phylogenetic structure of seed plants. Our results suggest that the evergreen broad-leaved forests and coniferous broad-leaved mixed forests at low to mid elevations deserve more conservation efforts. This study improves our understanding on the elevational gradients of species and phylogenetic diversity and their determinants, and provides support for improving seed plants conservation in Gongga Mountain.
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.
KHRO GRYAL, TIBETAN TRADITIONAL SINGER, Sha rgya (Shajia) Community, Mgo mang (Guomaying) Township, Mang rdzong (Guinan) County, Mstho Lho (Hainan) Tibetan Autonomous Prefecture, Mstho sngon (Qinghai) Province, PR China
<p><span>KHRO GRYAL, TIBETAN TRADITIONAL SINGER</span></p> <p><span>by </span></p> <p>Gser mo mtsho གསེར་མོ་མཚོ། (赛毛措 Saimaocuo)</p> <p><span> </span><span>On Saturday, March 30, 2024, I recorded my neighbor, Khro rgyal (b. 1951), at my home in the Sha rgya (Shajia) Community, Mgo mang (Guomaying) Township, Mang rdzong (Guinan) County, Mstho Lho (Hainan) Tibetan Autonomous Prefecture, Mstho sngon (Qinghai) Province, PR China. He sings traditional Tibetan songs exceptionally well. He is a father of fifteen children, two of whom passed away in a car accident.</span></p> <p><span>Khro rgyal confided that losing his children had made him lose interest in singing and added that most of the lyrics he once knew had faded from his memory. However, he had an excellent memory in his youth and could remember songs after hearing them only once at weddings. </span></p> <p><span>Khro rgyal is also a skilled herder. His family owns nearly 500 sheep. He counted sheep almost every night, and if a few were missing, he knew the missing ones.<span> In fact, </span>he knows every animal in the community and which animals belong to which family, so community members often consult him when they lose livestock.</span></p> <p><span>Khro rgyal remains an active herder and often visits my home, which is a 20-minute walk from his home, after tending his sheep. My family always welcomes him and prepares food for him.</span></p> <p><span> </span><span>TIBETAN TERMS</span></p> <p><span>khro rgyal </span><span>ཁྲོ་རྒྱལ།</span></p> <p><span>mang rzong </span><span>མང་རྫོང</span> <span>་།</span></p> <p><span>mgo mang </span><span>མགོ་མང</span> <span>་།</span></p> <p><span>mtso lho </span><span>མཚོ་ལྷོ</span> <span>།</span></p> <p><span>mtso sngon </span><span>མཚོ་སྔོན</span> <span>།</span></p> <p><span>sha rgya </span><span>ཤ་རྒྱ།</span></p> <p><span> </span></p> <p><span>CHINESE TERMS </span></p> <p><span>Guinan </span><span>贵南</span></p> <p><span>Guoma Ying </span><span>过马营</span></p> <p><span>Hainan </span><span>海南</span></p> <p><span>Qinghai </span><span>青海</span></p> <p><span>Shajia </span><span>沙加</span></p>
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>
Data of "The pivotal role of heavy terpenes and anthropogenic interactions in new particle formation on the southeastern Qinghai-Tibet Plateau"
Open the record for dataset details and reuse information.
Fig. 3 in Two new Cryptophagidae (Coleoptera) from Qinghai (China)
Fig. 3: Micrambe qinghaiensis nov.sp., paratype, female.
Figure 15 from: Hong X, Li H, Xue X (2012) Eriophyoid mites from Qinghai Province, northwestern China with descriptions of nine new species (Acari, Eriophyoidea). ZooKeys 196: 47-107. https://doi.org/10.3897/zookeys.196.2726
Figure 15 - Aculops ulmi Hong & Xue: I female genitalia J female genitalia from holotype.
Figure 16 from: Hong X, Li H, Xue X (2012) Eriophyoid mites from Qinghai Province, northwestern China with descriptions of nine new species (Acari, Eriophyoidea). ZooKeys 196: 47-107. https://doi.org/10.3897/zookeys.196.2726
Figure 16 - Tetra pruniana sp. n.: D dorsal view of female em empodium L1 leg I L2 leg II.
Figure 3 from: Zhu C, Cao H, LaSalle J (2014) A new species of Zagrammosoma Ashmead (Hymenoptera, Eulophidae) from Qinghai Province, China. ZooKeys 417: 45-55. https://doi.org/10.3897/zookeys.417.7464
Figure 3 - Appendages (♀): a mid leg b fore leg c hind leg d antenna e forewing. Scale bar: 0.5 mm.
Figure 2 from: Zhu C, Cao H, LaSalle J (2014) A new species of Zagrammosoma Ashmead (Hymenoptera, Eulophidae) from Qinghai Province, China. ZooKeys 417: 45-55. https://doi.org/10.3897/zookeys.417.7464
Figure 2 - Head (♀): a head in posterior view b head in anterior view. Scale bar: 0.2 mm.
A Study of the Effect of High Altitudes on Physiological and Metabolic Markers in Adults Living at Qinghai-Tibet Plateau for Work Purpose
ClinicalTrials.gov study NCT03446898. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: Moderate grazing promotes the root biomass in Kobresia meadow on the northern Qinghai-Tibet Plateau
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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)
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.