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886 results for “Kazakhstan”
FIGURE 5 in A contribution to knowledge of Dermestidae (Coleoptera) from Kazakhstan with description of one new species
FIGURE 5. Tugai forest in Bakanas (locality 1) with typical sparse stand of Populus diversifolia.
FIGURES 2–3 in A contribution to knowledge of Dermestidae (Coleoptera) from Kazakhstan with description of one new species
FIGURES 2–3. Ctesias (Decemctesias) yuliyae sp. nov. 2. Antennae of male. 3. Antenna of female.
FIGURE 7 in Mites of the families Neopygmephoridae and Scutacaridae associated with variegated mud-loving beetles (Coleoptera: Heteroceridae) from Russia and Kazakhstan
FIGURE 7. Allopygmephorus punctatus sp. nov., female: A—idiosomal dorsum, B—idiosomal venter.
FIGURE 4 in Mites of the families Neopygmephoridae and Scutacaridae associated with variegated mud-loving beetles (Coleoptera: Heteroceridae) from Russia and Kazakhstan
FIGURE 4. Allopygmephorus spinisetus sp. nov., female: A—idiosomal dorsum, B—idiosomal venter.
FIGURE 1 in Mites of the families Neopygmephoridae and Scutacaridae associated with variegated mud-loving beetles (Coleoptera: Heteroceridae) from Russia and Kazakhstan
FIGURE 1. Protoallopygmephorus heteroceri sp. nov., female: A—idiosomal dorsum, B—idiosomal venter.
Supplementary material 1 from: Kubentayev SA, Alibekov DT, Perezhogin YV, Lazkov GA, Kupriyanov AN, Ebel AL, Izbastina KS, Borodulina OV, Kubentayeva BB (2024) Revised checklist of endemic vascular plants of Kazakhstan. PhytoKeys 238: 241-279. https://doi.org/10.3897/phytokeys.238.114475
Checklist of subendemic taxa previously considered endemic in Kazakhstan
Figure 3 from: Kubentayev SA, Alibekov DT, Perezhogin YV, Lazkov GA, Kupriyanov AN, Ebel AL, Izbastina KS, Borodulina OV, Kubentayeva BB (2024) Revised checklist of endemic vascular plants of Kazakhstan. PhytoKeys 238: 241-279. https://doi.org/10.3897/phytokeys.238.114475
Figure 3 Endemic taxa richness in the floristic regions of Kazakhstan (A). The number of endemic taxa in the floristic regions of Kazakhstan (B).
Figure 1 from: Kubentayev SA, Alibekov DT, Perezhogin YV, Lazkov GA, Kupriyanov AN, Ebel AL, Izbastina KS, Borodulina OV, Kubentayeva BB (2024) Revised checklist of endemic vascular plants of Kazakhstan. PhytoKeys 238: 241-279. https://doi.org/10.3897/phytokeys.238.114475
Figure 1 Map of the floristic division of Kazakhstan (Pavlov 1956): 1 – Syrt, 2 – Tobol-Ishim, 3 – Irtysh, 4 – Semipalatinsk pine forest, 5 – Kokchetav, 6 – Caspian Region, 6a – Bukeev, 7 – Aktobe, 7a – Mugojary, 8 – Emba, 9 – Turgay, 10 – Western Upland, 10a – Ulutau, 11 – Eastern Upland, 11a – Karkaraly, 12 – Zaysan, 13 – Northern Ustyrt, 13a – Buzachi, 13b – Mangyshlak, 14 – Aral Region, 15 – Kyzylorda, 16 – Betpak-Dala, 17 – Moiynkum, 18 – Balkhash-Alakol, 19 – Southern Ustyrt, 20 – Kyzylkum, 21 – Turkestan, 22 – Altai, 23 – Tarbagatai, 24 – Dzungarian Alatau, 25 – Trans-Ili Kungey Alatau, 25a – Ketmen-Terskey Alatau, 26 – Chu-Ili Range, 27 – Kyrgyz Alatau, 28 – Karatau, 29 – Western Tian Shan.
Figure 2 from: Kubentayev SA, Alibekov DT, Perezhogin YV, Lazkov GA, Kupriyanov AN, Ebel AL, Izbastina KS, Borodulina OV, Kubentayeva BB (2024) Revised checklist of endemic vascular plants of Kazakhstan. PhytoKeys 238: 241-279. https://doi.org/10.3897/phytokeys.238.114475
Figure 2 The largest families by the number of endemic taxa (A). The largest genera by the number of endemic taxa (B).
Identifying relationships between multi-scale social-ecological factors to explore ungulate health in a Western Kazakhstan rangeland
<p>1. Rangelands are multi-use landscapes which are socially and ecologically important in different ways. Among other interactions, shared use of rangelands by wildlife and livestock can lead to disease transmission. Understanding wildlife and livestock health and managing disease transmission in rangelands requires an integration of social and ecological knowledge.</p> <p>2. Using the example of Western Kazakhstan, home to two types of ungulate hosts, the critically-endangered saiga antelopes, <i>Saiga tatarica</i>, and livestock, we conducted a cross-scale analysis of social-economic, ecological and climatic factors that contribute to transmission of diseases. We focused on Gastro-intestinal Nematodes (GINs) because they are transmitted between hosts that share pasture and they affect ungulate fitness. We used an interdisciplinary social-ecological methods approach which included conducting fecal egg counts of GINs in saigas and livestock, semi-structured interviews and focus group discussions with livestock owners and herders in the region, and triangulation of information through secondary sources.</p> <p>3. Livestock rearing was done in two ways a) village-based livestock and b) outlying farms. The latter overlapped more with saigas. Village-based livestock had significantly higher worm burdens than those on outlying farms, which had comparable burdens to saigas. Various factors exacerbate GIN prevalence and transmission: Veterinary services are minimal; both saiga and livestock numbers are increasing; and changing climate is increasing farmers' dependence on shared pastures for hay production. It will be crucial for saiga conservationists to engage in multi-pronged conservation interventions, which are evaluated and adapted through the lens of rural livelihoods and the livestock health on which they depend.</p> <p>4. <em>Synthesis and Application: </em>Our work provides researchers and practitioners with an avenue to better understand complex inter-relationships and plan interventions within rangelands, while viewing host health from an interdisciplinary perspective - ultimately working towards wildlife conservation whilst safeguarding livelihoods across the world's rangelands.</p>
Distribution. SW Kazakhstan, W Uzbekistan, and W Turkmenistan; possibly Mongolia. in Vespertilionidae
Distribution. SW Kazakhstan, W Uzbekistan, and W Turkmenistan; possibly Mongolia.
Distribution. E Russia, E Kazakhstan, W in Bovidae
Distribution. E Russia, E Kazakhstan, W Mongolia, and NW China.
Distribution. Karakum and Kyzylkum deserts in Turkmenistan, Uzbekistan, and S Kazakhstan. in Dipodidae
Distribution. Karakum and Kyzylkum deserts in Turkmenistan, Uzbekistan, and S Kazakhstan.
Ochotona opaca East Kazakhstan Region, Kazakhstan. Photo: Andrey Lissovsky in Ochotonidae
Ochotona opaca East Kazakhstan Region, Kazakhstan. Photo: Andrey Lissovsky
Distribution. Kazakhstan, Kyrgyzstan, Tajikistan, and Turkmenistan. in Soricidae
Distribution. Kazakhstan, Kyrgyzstan, Tajikistan, and Turkmenistan.
Distribution. SC Russia (S regions of West and Central Siberia) and extreme NE Kazakhstan. in Soricidae
Distribution. SC Russia (S regions of West and Central Siberia) and extreme NE Kazakhstan.
Distribution. Endemic to Tian Shan in SE Kazakhstan, Kyrgyzstan, and NW China (Xinjiang). in Soricidae
Distribution. Endemic to Tian Shan in SE Kazakhstan, Kyrgyzstan, and NW China (Xinjiang).
FIGURE 4 in Xylotrechus (Kostiniclytus) alakolensis sp. nov. (Coleoptera, Cerambycidae) from East Kazakhstan
FIGURE 4. Detailed view of the plant community and habitat of Xylotrechus alakolensis sp. nov.
FIGURE 3 in Xylotrechus (Kostiniclytus) alakolensis sp. nov. (Coleoptera, Cerambycidae) from East Kazakhstan
FIGURE 3. General view of the type locality of Xylotrechus alakolensis sp. nov.
Fig. 36. Hair tuft between 1 in A Review Of The Genus Blaps (Coleoptera: Tenebrionidae) Of Central And South Kazakhstan With Description Of Two New Species
Fig. 36. Hair tuft between 1st and 2nd abdominal ventrites. A = B. motschulskiana, B = B. tsharynensis tsharynensis, C = B. skopini sp. n.
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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)
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.