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205 results for “Kashmir”
Image 2 in Studies on bird diversity of Overa- Aru Wildlife Sanctuary of Jammu and Kashmir, India
Image 2. Citrine Wagtail Motacilla
Data for: Vegetation and soil ecology of threatened Himalayan Trillium habitats in Kashmir, Himalaya
<p>Understanding the vegetation and soil ecology of natural habitats harbouring threatened species is critical in conservation planning and restoration. The present study investigated the vegetation composition and soil physico-chemical attributes of natural habitats of <em>Trillium govanianum</em> – a threatened Himalayan endemic species. We laid 120 quadrats across eight randomly selected sites where the species was growing in the Kashmir Himalaya. We collected the soil samples from these sites and determined soil physico-chemical attributes using standard methods. Across all the sites, we found a total of 57 plant species with dominance of Rosaceae and Ranunculaceae. The IVI results revealed that <em>Fragaria nubicola</em>, <em>Corydalis diphylla</em>, <em>Galium aparine</em>, and <em>Leucanthemum vulgare</em>, were the dominant species in <em>T. govanianum</em> communities. The density, abundance and IVI of 3-leaf vegetative plants was higher than 1-leaf vegetative and 3-leaf reproductive plants across all the study sites. We found that T. govanianum alone forms 23.5 % positive, 0 negative, 76.4% random co-occurrences with other associated species in its community. Our results reveal that the variations in vegetation composition among the sites was influenced by differences in soil properties. Principal component analysis revealed that several soil parameters such as organic carbon, nitrogen, potassium, and sulphur were concentrated in five sites, namely Dara, Drung, Bangus, Gulmarg, and Doodhpathri, which also showed the highest density, frequency, and abundance of <em>T. govanianum</em>. Overall, our study contributes quantitative information on the vegetation and soil ecology of <em>T. govanianum</em>-assemblages, which in turn can help in developing conservation strategies for this threatened species, and its sustainable management and habitat restoration.</p>
Fore wings of honey bees (Apis mellifera) from Jammu and Kashmir, India
<p>The dataset consists of 350 honey bee (<i>Apis mellifera</i>) fore wing images, which represent 175 workers and 10 locations in Jammu and Kashmir, India. The wing images are compressed in IN-wing-images.zip. Raw coordinates of 19 landmarks marked on the wings are in file IN-raw-coordinates.csv. Additional data, including geographic coordinates and resolution, is saved in the file IN-data.csv.</p>
Data for: Vegetation and soil ecology of threatened Himalayan Trillium habitats in Kashmir, Himalaya
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AMS dates and Neolithic cereal measurements from the Kashmir Prehistory Project
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A new genus of treeshrew and other micromammals from the middle Miocene hominoid locality of Ramnagar, Udhampur District, Jammu & Kashmir, India
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Jammu and Kashmir Seismological NETwork (JAKSNET) earthquake catalogue (2014-2017)
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Receiver function data from Jammu and Kashmir seismological NETwork
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Local earthquake coda waveform from the Jammu And Kashmir Seismological NETwork (JAKSNET)
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Data from: Alpine flora of Kashmir Himalaya: Floristic assessment, life history traits and threat status
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FIGURE 3. A–D in Vanderbylia kashmiriana sp. nov. (Polyporales, Polyporaceae) from Azad Jammu & Kashmir, Pakistan
FIGURE 3. A–D. Basidiomata of Vanderbylia kashmiriana sp. nov. (holotype, LAH37856); (E–I). Anatomical features: E. Basidiospores; F. Basidia G: Cystidia and cystidioles; H: Tramal hyphae; I: Contextual hyphae (Line Drawings by Uzma Irfan).
FIGURE 2 in Vanderbylia kashmiriana sp. nov. (Polyporales, Polyporaceae) from Azad Jammu & Kashmir, Pakistan
FIGURE 2. Phylogram generated from Maximum Likelihood (ML) method based on LSU sequence data representing Vanderbylia kashmiriana and its related species. Novel sequences generated during this study are in bold.
FIGURE 1 in Vanderbylia kashmiriana sp. nov. (Polyporales, Polyporaceae) from Azad Jammu & Kashmir, Pakistan
FIGURE 1. Phylogram generated from Maximum Likelihood (ML) method based on ITS sequence data representing Vanderbylia kashmiriana and its related species. Novel sequences generated during this study are in bold.
'Other Specimen' records for the checklist of birds of Jammu & Kashmir, India
<p>This is a supplementary information on the specimen records for the checklist of birds of Jammu & Kashmir, India. Only those specimen are provided here which are not listed on GBIF or have been missed out because of locality issue on GBIF.</p>
ASSESSMENT OF THE FUNCTIONING OF ASHAS UNDER NRHM IN THE BLOCK MENDHAR DISTRICT POONCH JAMMU AND KASHMIR
<p>The study was conducted to knowing ASHA functioning status regarding maternal <br>and child health and evaluate impact on JSY. The study was conducted in the Block Mendhar <br>District Poonch Jammu and Kashmir using purposive sampling technique in 2 months <br>duration. ASHAs were included who had been active in the field for more than six month <br>since the date of survey started. Women were included in the study who has given a live birth <br>within last 6 month’s & whose child is still alive who were on breastfeeding. In our study <br>antenatal registration by ASHAs were found only 43% while all the beneficiaries were helped <br>in registration for JSY scheme, explained about transport assistance benefits & helped them <br>to reach hospital. Eighty eight(88%) percent ASHAs were present with them at the time of <br>delivery and 93 percent beneficiaries ASHA helped them in getting JSY benefits. However in <br>case of postnatal checkups only 33.33% ASHAs were found active. Level of knowledge and <br>work performance was found in ASHAs respectively 50.85(±20.97) and 57.58(±18.90), that <br>was statistically significant (<0.01). Observation of our study point towards better maternal <br>and child health care in the area, which can be attributed to institutional delivery of pregnant <br>mother related with significant monetary incentives.</p>
Figure 3 in Phenology and impact of abiotic factors with a temporal lag on the abundance of common crab spider, Xysticus cristatus (Clerck, 1757) (Araneae: Thomisidae) in the agroecosystems of Kashmir
Figure 3. Carapace width frequency distribution of the monthly catches of Xysticus cristatus from April to September 2019.
Figure 4 in Phenology and impact of abiotic factors with a temporal lag on the abundance of common crab spider, Xysticus cristatus (Clerck, 1757) (Araneae: Thomisidae) in the agroecosystems of Kashmir
Figure 4. Activity pattern in terms of number of females caught in pitfall traps and abdominal width from March to July 2019 during the reproductive period in females of Xysticus cristatus.
Figure 2 in Phenology and impact of abiotic factors with a temporal lag on the abundance of common crab spider, Xysticus cristatus (Clerck, 1757) (Araneae: Thomisidae) in the agroecosystems of Kashmir
Figure 2. Circular histograms illustrating the frequency of age structure established for the population of Xysticus cristatus in agroecosystems of Kashmir from March 2018 to February 2020. The angular mean or direction of the data is indicated by the grey line vector inside the circle. The 95% confidence interval is indicated by the transverse line in the sector outside the circle.
Subspecies and Distribution. U. t. thibetanus Cuvier, 1823 — Nepal, NE India, Bhutan, Bangladesh, Myanmar, Thailand, Laos, Cambodia, Vietnam. U. t. formosanus Swinhoe, 1864 — Taiwan. U. t. gedrosianus Blanford, 1877 — SE Iran, C & S Pakistan. U. t. japonicus Schlegel, 1857 — Japan. U. t. laniger Pocock, 1932 — Himalayas from Afghanistan to N India (Jammu and Kashmir, Himachal Pradesh & Uttarakhand). U. t. mupinensis Heude, 1901 — C & S China. U. t. ussuricus Heude, 1901 — Russian Far East, NE China, Korean Peninsula. in Ursidae
Subspecies and Distribution. U. t. thibetanus Cuvier, 1823 — Nepal, NE India, Bhutan, Bangladesh, Myanmar, Thailand, Laos, Cambodia, Vietnam. U. t. formosanus Swinhoe, 1864 — Taiwan. U. t. gedrosianus Blanford, 1877 — SE Iran, C & S Pakistan. U. t. japonicus Schlegel, 1857 — Japan. U. t. laniger Pocock, 1932 — Himalayas from Afghanistan to N India (Jammu and Kashmir, Himachal Pradesh & Uttarakhand). U. t. mupinensis Heude, 1901 — C & S China. U. t. ussuricus Heude, 1901 — Russian Far East, NE China, Korean Peninsula.
Traditional use of medicinal plants among the indigenous communities in district Baramulla, Jammu and Kashmir, India
<p>A number of indigenous communities reside in the Himalayan belt of Baramulla, where the lack of modern health care facilities represents crucial problems to their survival. Therefore the current study was aimed at documenting traditional knowledge of medicinal plants in the region. Ethnomedicinal data was collected during 2018-2020. Fifty-one informants were interviewed in seventeen villages via questionnaires, semi-structured interviews and group discussions. Data was also analyzed by various ethnobotanical indices. A total of 85 plant species distributed in 40 families were documented. Asteraceae was reported to be the dominant plant family and leaves were the most frequently utilized plant part. Musculoskeletal disorder scored the highest ICF value (0.87). Colchicum luteum (0.61), Verbascum thapsus (0.59) reported highest UV and Viola odorata, Ajuga integrifolia had the highest FL of 100%. Of the documented species about 18 plants (21%) were reported for the first time to be used in the area. Medicinal plants still play an important role in the healthcare sector and the folk knowledge attached to them is remarkable in the region, although declining among the younger generations. Medicinal plants reported for the first time, needs to be studied pharmacologically.</p>
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Allen Brain Atlas
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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.