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1,334 results for “Himalaya”
Fig. 22 in Notes on the Nebria subgenus Epinebriola K. DANIEL, 1904 with the description of Barbonebriola subgen. nov. and 13 new species from the Himalaya-Tibet orogen (Coleoptera, Carabidae, Nebriini)
Fig. 22: Nebria (Epinebriola) montisanimae sp. nov. Male paratype.
Fig. 30 in Notes on the Nebria subgenus Epinebriola K. DANIEL, 1904 with the description of Barbonebriola subgen. nov. and 13 new species from the Himalaya-Tibet orogen (Coleoptera, Carabidae, Nebriini)
Fig. 30: Nebria (Epinebriola) delicata sp. nov. Holotype. Scale bar = 5 mm.
Fig. 14 in Notes on the Nebria subgenus Epinebriola K. DANIEL, 1904 with the description of Barbonebriola subgen. nov. and 13 new species from the Himalaya-Tibet orogen (Coleoptera, Carabidae, Nebriini)
Fig. 14: Nebria (Barbonebriola) kagmara sp. nov. Paratype. Scale bar = 5 mm.
Fig. 12 in Notes on the Nebria subgenus Epinebriola K. DANIEL, 1904 with the description of Barbonebriola subgen. nov. and 13 new species from the Himalaya-Tibet orogen (Coleoptera, Carabidae, Nebriini)
Fig. 12: Nebria (Barbonebriola) tenuisulcata sp. nov. Holotype. Scale bar = 5 mm.
Fig. 32 in Notes on the Nebria subgenus Epinebriola K. DANIEL, 1904 with the description of Barbonebriola subgen. nov. and 13 new species from the Himalaya-Tibet orogen (Coleoptera, Carabidae, Nebriini)
Fig. 32: Gonocoxae of Nebria (Epinebriola) delicata sp. nov., in caudal view.
Fig. 7 in Notes on the Nebria subgenus Epinebriola K. DANIEL, 1904 with the description of Barbonebriola subgen. nov. and 13 new species from the Himalaya-Tibet orogen (Coleoptera, Carabidae, Nebriini)
Fig. 7: Nebria (Barbonebriola) rubostipes sp. nov. Holotype. Scale bar = 5 mm.
Data from: Influence of Check Dams on the Activity Pattern and Morphometric Traits of Overwintering Tadpoles in the Western Himalaya
<p>Dataset for the paper: Influence of Check Dams on the Activity Pattern and Morphometric Traits of Overwintering Tadpoles in the Western Himalaya. See readme.txt for details.</p>
Glacier_inventory_debris_cover_ice_thickness_dataset_Chandra_Bhaga_basin_Himalaya
<p>This is a multitemporal glacier dataset over ChandraBhaga basin in western Himalaya which includes glacier inventory (for 251 glaciers with area > 0.5 km<sup>2</sup>) for year 1993, 2000, 2010 and 2019 (.shp files); debris cover for year 1993 and 2019 (.tif files) and ice thickness (.tif files). Details of files are included in data_description.docx. These datasets form part of manuscript submitted to Earth Systems and Science Data.</p>
Global warming pushes the distribution range of the two alpine 'glasshouse' Rheum species north- and upwards in the Eastern Himalayas (EH) and the Hengduan Mountains (HM)
<p><span>Alpine plants' distribution is being pushed higher towards mountaintops due to global warming, finally diminishing their range and thereby increasing the risk of extinction. Plants with specialized 'glasshouse' structures have adapted well to harsh alpine environments, notably to the extremely low temperatures, which makes them vulnerable to global warming. </span><span>How</span><span>ever, their response to global warming is quite unexplored. Therefore, by compiling occurrences and several environmental strata, we utilized multiple ensemble species distribution modeling (eSDM) to estimate the historical, present-day, and future distribution of two alpine 'glasshouse' species <em>Rheum nobile</em> Hook. f. & Thomson and <em>R. alexandrae</em> Batalin. <em>Rheum nobile</em> was predicted to extend its distribution from the Eastern Himalaya (EH) to the Hengduan Mountains (HM), whereas <em>R. alexandrae</em> was restricted exclusively in the HM. Both species witnessed a northward expansion of suitable habitats followed by a southerly retreat in the HM region. Our findings reveal that both species have a considerable range shift under different climate change scenarios, mainly triggered by precipitation rather than temperature. The model predicted northward and upward migration for both species since the last glacial period which is mainly due to expected future climate change scenarios. Further, the observed niche overlap between the two species presented that they are more divergent depending on their habitat, except for certain regions in the HM. However, relocating appropriate habitats to the north and high elevation may not ensure the species' survival, as it needs to adapt to the extreme climatic circumstances in alpine habitats. Therefore, we advocate for more conservation efforts in these biodiversity hotspots.</span></p>
Thermochronology dataset for Himalaya
<p>Dataset from the Himalaya comprises 1785 thermochronologic ages compiled from papers published through July 2022; full data sources are provided in the associated file. We have excluded some reported ages from the Siwaliks (Sub-Himalayan fold-thrust belt), as that sedimentary unit commonly yields unreset ages. We have also excluded the western and eastern syntaxis regions, where extremely rapid exhumation is driven by processes that are different from those in the main part of the Himalaya (Zeitler et al., 2014; Butler, 2019). Finally, we exclude any pre-Himalayan ages (> 60 Ma), as these are not directly linked to exhumation during Himalayan mountain building. The dataset comprises 345 white mica <sup>40</sup>Ar/<sup>39</sup>Ar ages, 236 ZFT ages, 783 AFT ages, 281 ZHe ages, and 140 AHe ages. Data are provided in an Excel worksheet.</p>
Elevational range of mammals, birds, and amphibians in the Himalayas
<p><span>The lowest and highest elevations known for each species are used to delineate its elevational limits. We assume that species potentially exist between their elevational limits. For species that have a single elevational distribution record (resulting in an elevational range of zero) as well as those with elevational ranges less than 200 m, we adjusted their elevation ranges to 200 m. We verified all data for accuracy by experts within the region and any dubious outlying records were removed. Elevational limits were given for 1,488 species, including 314 mammals, 1027 birds, and 147 amphibians in the Himalayas.</span></p>
Fig. 6 in Ichthyofaunal Diversity Of A Ramsar Site In Kashmir Himalayas - Wular Lake
Fig. 6. Graphical representation of Diversity indices.
Figure 6 in Morphometric studies of subgenus Bombus (s. str.) (Hymenoptera: Apidae) from Indian Himalaya
Figure 6. Comparative morphometric parameters of legs of Bombus tunicatus and Bombus jacobsoni.
Figure 3 in Morphometric studies of subgenus Bombus (s. str.) (Hymenoptera: Apidae) from Indian Himalaya
Figure 3. Morphometric parameters of Bombus tunicatus.
Figure 1 in Morphometric studies of subgenus Bombus (s. str.) (Hymenoptera: Apidae) from Indian Himalaya
Figure 1. Map showing the survey areas in Union Territory of Jammu and Kashmir.
Figure 4 in Morphometric studies of subgenus Bombus (s. str.) (Hymenoptera: Apidae) from Indian Himalaya
Figure 4. Morphometric parameters of Bombus jacobsoni.
Figure 5 in Morphometric studies of subgenus Bombus (s. str.) (Hymenoptera: Apidae) from Indian Himalaya
Figure 5. Comparative morphometric parameters of wings of Bombus tunicatus and Bombus jacobsoni.
Figure 2 in Morphometric studies of subgenus Bombus (s. str.) (Hymenoptera: Apidae) from Indian Himalaya
Figure 2. Map showing the survey areas of Himachal Pradesh.
Figure 3. Camera trap 2 in Evidence of presence of Marbled Cat Pardofelis marmorata (Martin, 1837) in Neora Valley National Park, Central Himalaya, India
Figure 3. Camera trap 2 recording the second individual.
Figure 3 in First photographic evidence of Panthera tigris from Neora Valley National Park, Central Himalayas, India
Figure 3. Recorded tiger left view at Kattus Dara, Neora Valley National Park.
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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.