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483 results for “Qinghai”
CO₂ and related biogeochemical data from permafrost rivers on the Qinghai-Tibet Plateau (2016–2018, 2023)
This dataset includes four years of direct measurements from 50 permafrost rivers in the Qinghai-Tibet Plateau’s major Asian headwaters (Yellow, Yangtze, Lancang, Nu, Derung, Yarlung Tsangpo, Marja Tsangpo, and Indus Rivers), collected during the ice-free seasons (April–October) of 2016–2018 and 2023. It includes CO₂ partial pressure (pCO₂) and emission rates, concentrations of DOC, DIC, and major dissolved ions, carbon (δ¹³C), sulfur (δ³⁴S), and oxygen (δ¹⁸O) isotopes, alongside site location and other physiochemical data. Given its scarcity and scientific significance, this dataset will greatly support updates to global river CO2 flux estimates.
Meteorological and ground observations in the Qinghai-Tibet Engineering Corridor
<p>Observation of meteorological factors was conducted at two permanent meteorological stations (Golmud and Wudaoliang) and one field meteorological station (Xidatan) with daily meteorological records. All three meteorological stations contain ground observations.</p>
Weakening of carbon sink on the Qinghai–Tibet Plateau
<p>The file "<a href="https://zenodo.org/api/files/478b7152-858e-48cb-89a1-c7942474578b/Code%20for%20improved%20IBIS%20model.rar">Code for improved IBIS model.rar</a>"is the improved IBIS model code applied for the paper "Weakening of carbon sink on the Qinghai–Tibet Plateau" which have been published in Geoderma. The data files include all data the paper applied in the context.</p>
InSAR interferences and slip model related to the 2021 Maduo earthquake in Qinghai province, China
<p>The dataset includes the SAR unwrapped interferograms, and the slip model related to the 2021 Maduo earthquake on western Maduo County, Qinghai Province of China.</p> <p>SAR images:</p> <p>Sensor: Sentinel-1 A/B ascending and descending tracks interferograms, including the T099A, T026A, T172A, T106D, T004D and T033D.</p> <p>Time: 2021.05.13 - 2019.05.27, 6 radar phases images and 2 range offset images.</p> <p>Processing software: GAMMA</p> <p>Topographic data from the Shuttle Radar Topography Mission (SRTM) with a resolution of 1 arcsec were used to align the images and remove the topographic phase.</p> <p>First‐order tropospheric delays were mitigated by using the Generic Atmospheric Correction Online Service (GACOS)</p> <p>Silp Models:</p> <p>The model is generated through triangular dislocation inversion.</p> <p>The slip models is composed of two files:</p> <p> Main rupture: Slip_Maduo_Main.gmt</p> <p> Tip rupture: Slip_Maduo_Tip.gmt</p> <p>Format: GMT</p>
Phenotypic trait variation of Herminium monorchis in the Qinghai-Tibetan Plateau with grazing intensity and climatic conditions
This data set contains raw data supporting the research entitled “Livestock grazing outweighs climate in driving trait variation of a widespread alpine plant” (currently under peer review), which documents how phenotypic traits of a widespread herbaceous plant in the Qinghai-Tibetan Plateau, Herminium monorchis, vary with grazing intensity and environmental conditions.
Greenhouse gas data of permafrost-affected reservoirs on the Qinghai-Tibet Plateau, 2016-2018
This dataset is a collation of 3-year direct measurement values of CO2, CH4 and N2O concentrations and fluxes of permafrost-affected reservoirs on the Qinghai-Tibet Plateau, along with information on location and chemical conditions of the study sites. Given the rarity and high value of this data set, it will be very valuable for the next update to global reservoir GHG flux estimates.
UAV RGB and TIR images in the Qinghai-Tibet Engineering Corridor
<p>Two permafrost slopes were conducted four flight experiments with UAV-mounted RGB and TIR sensors in 2016 and 2017.</p>
Annual human footprint maps at 100-meter resolution from 1990 to 2020 for Qinghai-Tibet Plateau
<p>This Human footprint product is the first annual dataset with a resolution of 100 meters from 1990 to 2020 covering the Qinghai-Tibet Plateau (QTP). It integrates eight variables: population density, cropland, built environments, grazing activities, nighttime lights, roads, railways, and hydroelectric projects, each providing insights into various human impacts on the plateau. Additionally, the dataset's accuracy was assessed using 1,043 samples with a median resolution of 0.5 m, uniformly distributed across the QTP. These HF maps can serve as a critical tool for understanding the extensive human influence on the QTP, and can aid in conservation planning, resource management, and informing decision-making processes related to ecological restoration objectives. </p>
Figures 1 in Biogeographical affinities and evolution of terrestrial fauna in the Qinghai-Tibetan Plateau and the Himalayas: a case study of Aphidomorpha
Figures 1. Generalized tracks and nodes based on the global distributions of aphid species in the QTPH. Generalized tracks are indicated by colored lines, and nodes are indicated with orange dots. A generalized track is a summary of replicated distribution patterns of different taxa (species); a node is a distribution area where two or more generalized tracks intersect. Generalized tracks and nodes together indicate biogeographical affinities between aphid faunas in the QTPH and other regions.
Figures 11–18 in Two new species of Eryciini (Diptera: Tachinidae) from the Eastern edge of the Qinghai-Tibetan Plateau, China
Figures 11–18. Lydella gannanensis sp. nov., male. 11–12. Body in dorsal and lateral views. 13–14. Head in anterior and lateral views. 15. Sternite 5. 16–17. Cerci, surstyli and epandrium in lateral and caudal views. 18. Bacilliform sclerite, ejaculatory apodeme, hypandrium, phallapodeme, pregonite, postgonite, basiphallus, distiphallus, epiphphallus, and acrophallus in lateral view. Scale bars: 11–14 = 1.0 mm, 15–18 = 0.2 mm.
Figures 1–8 in Two new species of Eryciini (Diptera: Tachinidae) from the Eastern edge of the Qinghai-Tibetan Plateau, China
Figures 1–8. Drino latifrons sp. nov., male. 1–2. Body in dorsal and lateral views. 3–4. Head in anterior and lateral views. 5. Sternite 5. 6. Bacilliform sclerite, ejaculatory apodeme, hypandrium, phallapodeme, pregonite, postgonite, basiphallus, distiphallus, epiphphallus, and acrophallus in lateral view. 7–8. Cerci, surstyli and epandrium in lateral and caudal views. Scale bars: 1–4 = 1.0 mm, 5–8 = 0.2 mm.
Multi-year dataset for groundwater level, temperature, and chemical and isotopic compositions of different water bodies in an alpine catchment on the northeastern Qinghai-Tibet Plateau, China
<p>Here we provide the multi-year dataset for groundwater level, temperature, and chemical and isotopic compositions of different water bodies in an alpine catchment on the northeastern Qinghai-Tibet Plateau, China. The first file contains monitoring data, including groundwater levels and ground temperatures. The second file includes the results of the sample analyses as well as the numbers and locations of the sampling sites.</p>
An Updated Inventory of Retrogressive Thaw Slumps Along the Vulnerable Qinghai-Tibet Engineering Corridor
<p>An inventory of 875 retrogressive thaw slumps over a landscape of 54000 km<sup>2</sup>, along the Qinghai-Tibet Engineering Corridor underlain by permafrost, was compiled using remote sensing and DeepLabv3+, a kind of deep learning model. The file in the format of Geopackage/GPKG contains the boundary of each retrogressive thaw slump as vectors in the Coordinate Reference System of EPSG:32646 - WGS 84. The associated attribute table includes probability, time of the satellite images, source of the satellite images, the near roads labels, year of initiation, longitude and latitude, area (units: m<sup>2</sup>), Deep Learning model. The corresponding names for the table fields are ‘Probability’, ‘Year-month’, ‘Source Image’, ‘Near roads’, ‘Initial year’, ‘Longitude’, ‘Latitude’, ‘Area’, ‘Deep Learning model’. The ‘Probability’, having values of ‘High’, ‘Medium’ and ‘Low’, measures how much we are sure about the mapped RTSs.</p>
Fig. 12 in New species of genus Atractides Koch, 1837 (Acari: Hydrachnidiae, Hygrobatidae) from Qinghai, China
Fig. 12. Atractides (Atractides) xianmiensis Zhang, Li & Guo sp. nov., paratype, ♀ (GUGC, Slide No. QH-HY-2020072914). A. Idiosoma, dorsal view. B. Idiosoma, ventral view. Scale bar = 100 μm.
Fig. 11 in New species of genus Atractides Koch, 1837 (Acari: Hydrachnidiae, Hygrobatidae) from Qinghai, China
Fig. 11. Atractides (Atractides) xianmiensis Zhang, Li & Guo sp. nov. A–E. Holotype, ♂ (GUGC, Slide No. QH-HY-2020072910). F. Paratype, ♀ (GUGC, Slide No. QH-HY-2020072914). A. Idiosoma, dorsal view. B. Idiosoma, ventral view. C. Gnathosoma. D. Chelicera. E. Palp. F. Palp. Scale bars = 100 μm.
Fig. 10 in New species of genus Atractides Koch, 1837 (Acari: Hydrachnidiae, Hygrobatidae) from Qinghai, China
Fig. 10. Atractides (Atractides) longiprojectus Zhang, Li & Guo sp. nov., holotype, ♀ (GUGC, Slide No. QH-HY-2020072907). A–D. I-L–IV-L. Scale bar = 100 μm.
Fig. 9 in New species of genus Atractides Koch, 1837 (Acari: Hydrachnidiae, Hygrobatidae) from Qinghai, China
Fig. 9. Atractides (Atractides) longiprojectus Zhang, Li & Guo sp. nov., holotype, ♀ (GUGC, Slide No. QH-HY-2020072907). A. Idiosoma, dorsal view. B. Idiosoma, ventral view. C. Gnathosoma. D. Chelicera. E. Palp. Scale bars = 100 μm.
Fig. 8 in New species of genus Atractides Koch, 1837 (Acari: Hydrachnidiae, Hygrobatidae) from Qinghai, China
Fig. 8. Atractides (Atractides) menyuanensis Zhang, Li & Guo sp. nov., holotype, ♂ (GUGC, Slide No. QH-HY-2020072901). A–D. I-L–IV-L. Scale bar = 100 μm.
Fig. 13 in New species of genus Atractides Koch, 1837 (Acari: Hydrachnidiae, Hygrobatidae) from Qinghai, China
Fig. 13. Atractides (Atractides) xianmiensis Zhang, Li & Guo sp. nov., holotype, ♂ (GUGC, Slide No. QH-HY-2020072910). A–D. I-L–IV-L. Scale bar = 100 μm.
Fig. 7 in New species of genus Atractides Koch, 1837 (Acari: Hydrachnidiae, Hygrobatidae) from Qinghai, China
Fig. 7. Atractides (Atractides) menyuanensis Zhang, Li & Guo sp. nov., paratype, ♀ (GUGC, Slide No. QH-HY-2020072902). A. Idiosoma, dorsal view. B. Idiosoma, ventral view. Scale bars = 100 μm.
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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)
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.