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218 results for “leopard”
Figure 2 in Summer diving and haul-out behavior of leopard seals (Hydrurga leptonyx) near mesopredator breeding colonies at Livingston Island, Antarctic Peninsula
Figure 2. (A) Empirical haul-out probability distributions for leopard seals at Cape Shirreff based on 209 haul outs from 18 animals in January and February from 2008 to 2014. (B) A polynomial linear regression (solid line) which predicts haul-out probability based on time (h) from local apparent noon; 95% confidence intervals (dashed lines).
Survey data and individual characterists for northeastern leopard frogs
<p>Data supporting Schlesinger, M.D. et al. In press. Follow-up ecological studies for cryptic species discoveries: decrypting the leopard frogs of the eastern U.S. PLOS ONE.</p>
Figure 3 in Diet and habitat use of the endangered Persian leopard (Panthera pardus saxicolor) in northeastern Iran*
Figure 3. Leopard distribution map (based on direct observation, scat, track, and prey carcass locations) and habitat overlap of the leopard with wild pig (Sus scrofa), porcupine (Hystrix indica), wild goat (Capra aegagrus), wild sheep (Ovis orientalis), and pika (Ochotona rufescens) in SNP.
Figure 2 in Diet selection of snow leopard (Panthera uncia) in Chitral, Pakistan
Figure 2. Microphotographs of hair scale pattern of Cape hare (Lepus capensis): a) reference hair (10 × 100×); b) hair found in scat sample (10 × 100×).
Figure 4 in Diet selection of snow leopard (Panthera uncia) in Chitral, Pakistan
Figure 4. Microphotographs of hair scale pattern of palm civet (Paguma larvata): a) reference hair (10 × 100×); b) hair found in scat sample (10 × 100×).
Figure 3 in Diet selection of snow leopard (Panthera uncia) in Chitral, Pakistan
Figure 3. Microphotographs of hair scale pattern of markhor (Capra falconeri): a) reference hair (10 × 40×); b) hair found in scat sample (10 × 40×).
Figure 1 in Spatial distribution and dietary niche breadth of the leopard Panthera pardus (Carnivora: Felidae) in the northeastern Himalayan region of Pakistan
Figure 1. Distribution of the leopard (Panthera pardus) in and around Pir Lasura National Park, northeastern Himalayan region, Pakistan, as indicated by various direct and indirect signs of the species.
Fig. 2 in Insights Into The Spatial And Temporal Ecology Of The Sunda Clouded Leopard Neofelis Diardi
Fig. 2. Frequency distribution of hourly activity for Sunda clouded leopard based on 135 independent photo-captures.
Fig. 1 in Insights Into The Spatial And Temporal Ecology Of The Sunda Clouded Leopard Neofelis Diardi
Fig. 1. Study site, showing the home-range of the Sunda clouded leopard derived from radio telemetry.
Figure 3 in New record of the Western leopard gecko, Eublepharis angramainyu Anderson & Leviton, 1966 (Sauria: Eublepharidae) from southeastern Iran
Figure 3. Eublepharis angramainyu type locality, square (Anderson and Leviton 1966), new locality, circle.
Influence of land use changes on landscape connectivity for North China leopard (Panthera pardus japonensis)
<p><span>North China leopard (<em>Panthera pardus japonensis</em></span><span>), is the most wid</span><span>espread subspecies of leopard and one of the rare and endangered species in China. It is currently confined to several isolated natural reserves, and little is known about its habitat network connectivity with land use changes. This study was conducted to assess the impacts of land use changes on landscape connectivity for North China leopards in the Great Taihang Region. Circuit theory-based connectivity models and least-cost path analyses were used to delineate pathways suitable for species movement, and evaluate the impacts of land use changes on landscape connectivity. The results revealed that there were 37 least-cost paths in 1990 and 38 in 2020. The area of forest land increased from 57142.74 km<sup>2</sup> to 74836.64 km<sup>2</sup>, with the percentage increasing from 26.61% to 34.85%. In general, the increase of forest land area promoted landscape connectivity for North China leopards at broad spatial scales. The improvement of landscape connectivity was not always consistent with the land use changes, and there was a slightly decreasing trend in connectivity in some key movement barrier areas </span><span>with high-intensity of human activities</span><span>. Improving landscape connectivity at broad spatial scales is as important as protecting the habitats (natural reserves) where the species lives. Our study can serve as an example of exploring the relationships between land use changes and landscape connectivity for species conservation at broad spatial scales with limited movement pattern data. This information is proved to be critical for enhancing landscape connectivity for the conservation concerns of North China leopard and planning of natural reserves network.</span></p>
Ungulate spatiotemporal responses to contrasting predation risk from wolves and snow leopards
<p>Spatial responses to risk from multiple predators can precipitate emergent consequences for prey (i.e., multiple-predator effects, MPEs) and mediate indirect interactions between predators. How prey navigate risk from multiple predators may therefore have important ramifications for understanding the propagation of predation-risk effects (PREs) through ecosystems. The interaction of predator and prey traits has emerged as a potentially key driver of anti-predator behaviour but remains underexplored in large vertebrate systems, particularly where sympatric prey share multiple predators. We sought to better generalize our understanding of how predators influence their ecosystems by considering how multiple sources of contingency drive prey distribution in a multi-predator-multi-prey system. Specifically, we explored how two sympatric ungulates with different escape tactics – vertically agile, scrambling ibex (<em>Capra sibirica</em>) and sprinting argali (<em>Ovis ammon</em>) – responded to predation risk from shared predators with contrasting hunting modes – cursorial wolves (<em>Canis lupus</em>) and vertical-ambushing, stalking snow leopards (<em>Panthera uncia</em>). Contrasting risk posed by the two predators presented prey with clear trade-offs. Ibex selected for greater exposure to chronic long-term risk from snow leopards, and argali for wolves, in a nearly symmetrical manner that was predictable based on the compatibility of their respective traits. Yet, acute short-term risk from the same predator upended these long-term strategies, increasing each ungulate's exposure to risk from the alternate predator in a manner consistent with a scenario in which conflicting anti-predator behaviours precipitate risk-enhancing MPEs and mediate predator facilitation. By contrast, reactive responses to wolves led ibex to reduce their exposure to risk from both predators – a risk-reducing MPE. Evidence of a similar reactive risk-reducing effect for argali vis-à-vis snow leopards was lacking.<strong> </strong>Our results suggest that prey spatial responses and any resulting MPEs and prey-mediated interactions between predators are contingent on the interplay of hunting mode and escape tactics. Further investigation of interactions among various drivers of contingency in PREs will contribute to a more comprehensive understanding and improved forecasting of the ecological effects of predators. </p>
Figure 4 in The spatial structure of а snow leopard population (Panthera uncia, Felidae, Carnivora) in east Kyrgyzstan
Figure 4. Relationship between the males of the Sarychat-Ertash Reserve (as inferred from the DNA microsatellite profiles).
Figure 3 in The spatial structure of а snow leopard population (Panthera uncia, Felidae, Carnivora) in east Kyrgyzstan
Figure 3. Relationship between the females of the Sarychat–Ertash Reserve (as inferred from the DNA microsatellite profiles).
Figure 2. Sections 1–3 in The spatial structure of а snow leopard population (Panthera uncia, Felidae, Carnivora) in east Kyrgyzstan
Figure 2. Sections 1–3 of different intensity of marking activity of the snow leopard. For a description, see text (polygons A, B, C).
Figure 1 in The spatial structure of а snow leopard population (Panthera uncia, Felidae, Carnivora) in east Kyrgyzstan
Figure 1. Areas of snow leopard study in the East Kyrgyzstan. Blue squares-surveyed areas; red points, traces of snow leopard activity.
Neo-taphonomic analysis of the Misiam leopard lair
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Data from: A cost-effective blood DNA methylation-based age estimation method in domestic cats, Tsushima leopard cats (Prionailurus bengalensis euptilurus), and Panthera species, using targeted bisulfite sequencing and machine learning models
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Data from: Leopard (<em>Panthera pardus</em>) density and the impact of spotted hyaena (<em>Crocuta crocuta</em>) occurrence on leopard presence in the Maasai Mara ecosystem, Kenya
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Over the hills and through the farms: Land use and topography influence genetic connectivity of northern leopard frog (Rana pipiens) in the Prairie Pothole Region
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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.