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148 results for “Panthera”

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dryad40/100

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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publicJan 2024View details →
dryad40/100

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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publicSep 2025View details →
dryad40/100

Dataset of: Community perspectives on the prospect of lion (Panthera leo) reintroduction to Comoé National Park, Côte d’Ivoire (West Africa)

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publicOct 2023View details →
dryad40/100

Influence of land use changes on landscape connectivity for North China leopard (Panthera pardus japonensis)

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publicOct 2022View details →
dryad36/100

Data from: Studded leather collars are very effective in protecting cattle from leopard (Panthera pardus) attacks

<p>Human-wildlife conflicts are widespread, particularly with big cats which can kill domestic livestock and create a counteraction between conservation and local livelihoods, especially near protected areas. Minimization of livestock losses caused by big cats and other predators is essential to mitigate conflicts and promote socially acceptable conservation. As big cats usually kill by throat bites, protective collars represent a potentially effective non-lethal intervention to prevent livestock depredation, yet the application and effectiveness estimation of these tools are very limited. In this study, for the first time we measured the effectiveness of studded leather collars in protecting cattle from leopard (Panthera pardus) attacks. We conducted a randomized controlled experiment during 14 months to collar 202 heads and leave uncollared 258 heads grazing in forests and belonging to 27 owners from eight villages near three protected areas in Mazandaran Province, northern Iran. Our results show that none of collared cattle and nine uncollared cattle were lost to leopard depredation, meaning that collars caused a zero relative risk of damage and a perfect 100% damage reduction. Most losses occurred in summer and autumn due to lush vegetation attracting more cattle, long daytime allowing movements deep into leopard habitats, and dense cover favoring leopard hunts from ambush. Losses were recorded in only six owners and four villages, suggesting local rarity and patchy distribution of leopards. We suggest that collars can be successfully applied to cattle freely grazing in habitats of leopards or other felids for a long time and thus remaining persistently exposed to depredation. As grazing cattle are usually not supervised by shepherds or dogs, collars can be the only practical protection tool. Production and sales of collars can become a sustainable small-scale business for farmers to further boost conservation and rural livelihoods.</p>

opencc-zeroMay 2020View details →
dryad36/100

When waterholes get busy, rare interactions thrive: Photographic evidence of a jaguar (Panthera onca) killing an ocelot (Leopardus pardalis)

<p>During a camera trap survey conducted in Guatemala in the 2019 dry season, we documented a jaguar killing an ocelot at a waterhole with high mammal activity. During severe droughts, the probability of aggressive interactions between carnivores might increase when fixed, valuable resources such as water cannot be easily partitioned.</p>

opencc-zeroDec 2020View details →
dryad36/100

Genetic analyses reveal population structure and recent decline in leopards (Panthera pardus fusca) across Indian subcontinent

<p><span><span><b><i>Background </i></b></span></span></p> <p><span><span>Large carnivores maintain the stability and functioning of ecosystems. Currently, many carnivore species face declining population sizes due to natural and anthropogenic pressures. The leopard, <i>Panthera pardus</i>, is probably the most widely distributed and highly adaptable large felid globally, still persisting in most of its historic range. However, we lack subspecies-level data on country or regional scale on population trends, as ecological monitoring approaches are difficult to apply on such wide-ranging species. We used genetic data from leopards sampled across the Indian subcontinent to investigate population structure and patterns of demographic decline. </span></span></p> <p><span><span><b><i>Methods </i></b></span></span></p> <p><span><span>We collected faecal samples from the Terai-Arc landscape of north India and identified 56 unique individuals using a panel of 13 microsatellite markers. We merged this data with already available 143 leopard individuals and assessed genetic structure at country scale. Subsequently, we investigated the demographic history of each identified subpopulations and compared genetic decline analyses with countrywide local extinction probabilities. </span></span></p> <p><span><span><b><i>Results </i></b></span></span></p> <p><span><span>Our genetic analyses revealed four distinct subpopulations corresponding to Western Ghats, Deccan Plateau-Semi Arid, Shivalik and Terai region of the north Indian landscape, each with high genetic variation. Coalescent simulations with microsatellite loci revealed a possibly human-induced 75-90% population decline between ∼120-200 years ago across India. Population-specific estimates of genetic decline are in concordance with ecological estimates of local extinction probabilities in these subpopulations obtained from occupancy modeling of the historic and current distribution of leopards in India. </span></span></p> <p><span><span><b><i>Conclusions </i></b></span></span></p> <p><span><span>Our results confirm the population decline of a widely distributed, adaptable large carnivore. We re-iterate the relevance of indirect genetic methods for such species in conjunction with occupancy assessment and recommend that detailed, landscape-level ecological studies on leopard populations are critical to future conservation efforts. Our approaches and inference are relevant to other widely distributed, seemingly unaffected carnivores such as the leopard.</span></span></p>

opencc-zeroJan 2020View details →
zenodo36/100

Triangular Mesh of the Brain of a Lion (Panthera leo)

<p>Triangular Mesh of the Brain of a Lion (<i>Panthera leo</i>) from http://braincatalogue.org/Lion</p>

opencc-by-4.0Jan 2016View details →
zenodo36/100

Magnetic Resonance Imaging Scan of the Brain of a Leopard (Panthera pardus)

<p>Magnetic Resonance Imaging Scan of the Brain of a Leopard (<i>Panthera pardus</i>) from http://braincatalogue.org/Leopard</p>

opencc-by-nc-4.0Jan 2016View details →
zenodo36/100

Magnetic Resonance Imaging Scan of the Brain of a Lion (Panthera leo)

<p>Magnetic Resonance Imaging Scan of the Brain of a Lion (<i>Panthera leo</i>) from http://braincatalogue.org/Lion</p>

opencc-by-nc-4.0Jan 2016View details →
dryad36/100

Coexistence from a lion's perspective: Movements and habitat selection by African lions (Panthera leo) across a multi-use landscape

<p>Diminishing wild space and population fragmentation are key drivers of large carnivore declines worldwide. Persistence of large carnivores in fragmented landscapes often depends on the ability of individuals to move between separated subpopulations for genetic exchange and recovery from stochastic events. Where separated by anthropogenic landscapes, subpopulations' connectivity hinges on the area's socio-ecological conditions for coexistence and dispersing individuals' behavioral choices. Using GPS-collars and resource- and step-selection functions, we explored African lion (<em>Panthera leo</em>) habitat selection and movement patterns to better understand lions' behavioral adaptations in a landscape shared with pastoralists. We conducted our study in the Ngorongoro Conservation Area, Tanzania, a multiuse rangeland, that connects the small, high density lion subpopulation of the Ngorongoro Crater with the extensive Serengeti lion population. Landscape use by pastoralists and their livestock varies seasonally, driven by the availability of pasture, water, and disease avoidance. The most important factor for lion habitat selection was the amount of vegetation cover, followed by the distance to human settlements and the interaction between those two variables, with selectivity strengths varying with season and time of day. All lions were more willing to approach human settlements at night and during the dry season, selecting strongly for cover when moving closer to humans during the day. Resident females most consistently used areas close to humans, but also relied more consistently on cover than males. Connectivity of lion subpopulations, facilitated by nomadic males, does not appear to be blocked by sparse pastoralist settlements and nomadic males avoided humans on the landscape more strongly than did resident lions. These results are consistent with lions balancing risk from humans with exploitation of livestock by altering their behaviors to reduce potential conflict. Our study lends some optimism for the adaptive capacity of lions to promote coexistence with humans in shared landscapes.</p>

opencc-zeroFeb 2024View details →
zenodo36/100

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.

opencc-by-4.0Dec 2020View details →
zenodo36/100

Figure 1 in First photographic evidence of Panthera tigris from Neora Valley National Park, Central Himalayas, India

Figure 1. Map of Neora Valley National Park with camera trap location.

opencc-by-4.0Dec 2020View details →
zenodo36/100

Text-fig. 1. Ground plan of Za Hájovnou Cave (according Tomica, supplemented by Musil, 2005). in Panthera Fossilis (Reichenau, 1906) (Felidae, Carnivora) From Za Hájovnou Cave (Moravia, The Czech Republic): A Fossil Record From 1987-2007

Text-fig. 1. Ground plan of Za Hájovnou Cave (according Tomica, supplemented by Musil, 2005).

opencc-by-4.0Oct 2014View details →
zenodo36/100

Text-fig. 4. Thin section of premolar from a cave lion (Panthera spelaea), Ossuary II, 2a, 3b. in Seasonality Of Use Of Za Hájovnou Cave By Bears And Lions

Text-fig. 4. Thin section of premolar from a cave lion (Panthera spelaea), Ossuary II, 2a, 3b.

opencc-by-4.0Oct 2014View details →
zenodo36/100

Text-fig. 5. Thin section of molar from a cave lion (Panthera spelaea), Chodba naděje, layer 3. in Seasonality Of Use Of Za Hájovnou Cave By Bears And Lions

Text-fig. 5. Thin section of molar from a cave lion (Panthera spelaea), Chodba naděje, layer 3.

opencc-by-4.0Oct 2014View details →
zenodo36/100

Figure 1 in Diet selection of snow leopard (Panthera uncia) in Chitral, Pakistan

Figure 1. Location of study area in Chitral District, Pakistan.

opencc-by-4.0Apr 2017View details →
zenodo36/100

Fig. 1 in Camera Trapping The Indochinese Tiger, Panthera Tigris Corbetti, In A Secondary Forest In Peninsular Malaysia

Fig. 1. Map of FJB and infra red sensored camera locations.

opencc-by-4.0Dec 2003View details →
zenodo36/100

Figure 5 in Population structure and spatial distribution of the tiger (Panthera tigris, Felidae, Carnivora) in Southwestern Primorye (Russian Far East)

Figure 5. Layout of home ranges of the GPS-collared tigers (Hernandez-Blanco et al., 2015).

opencc-by-4.0Jun 2021View details →
zenodo36/100

Figure 3 in Population structure and spatial distribution of the tiger (Panthera tigris, Felidae, Carnivora) in Southwestern Primorye (Russian Far East)

Figure 3. Relationship between tigers according to DNA identification.

opencc-by-4.0Jun 2021View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

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abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record