Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

20

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

20 results for “Leopardus pardalis”

Learn how ShareScore rates datasets ↗
zenodo40/100

Figura 5 in Densidad, abundancia relativa y patrones de actividad de Leopardus pardalis (Carnivora: Felidae) en la Reserva Natural y de Usos Múltiples San Pablo, Yungas de Tucumán

Figura 5. Comparación del índice de abundancia relativa de ocelotes (Leopardus pardalis) en cada piso altitudinal. SMI= Selva montana inferior; SMS= Selva montana superior. Figure 5. Comparison of the relative area index of ocelots (Leopardus pardalis) at each altitudinal floor. SMI= Lower montane forest, SMS= Upper montane forest.

opencc-by-4.0Jun 2023View details →
zenodo40/100

Figura 2 in Densidad, abundancia relativa y patrones de actividad de Leopardus pardalis (Carnivora: Felidae) en la Reserva Natural y de Usos Múltiples San Pablo, Yungas de Tucumán

Figura 2. Ocelotes identificados, cuyas manchas distintivas se indican en color verde. Individuo A (1a-1b), individuo B (2), individuo C (3a-3b) e individuo D (4a-4b). Figure 2. Identified ocelots, whose distinctive spot patterns are indicated in green. Individual A (1a-1b), individual B (2), individual C (3a-3b) and individual D (4a-4b).

opencc-by-4.0Jun 2023View details →
zenodo40/100

Figura 4 in Densidad, abundancia relativa y patrones de actividad de Leopardus pardalis (Carnivora: Felidae) en la Reserva Natural y de Usos Múltiples San Pablo, Yungas de Tucumán

Figura 4. Diagrama de radar. Cada barra en color azul del diagrama corresponde al número de registros independientes de los ocelotes (indicados dentro de la gráfica con valores de 0 a 8 registros). Alrededor del mismo se observan las 24 horas del día y los colores gris y amarillo indican registros nocturnos y diurnos, respectivamente. Figure 4. Radar diagram. Each blue bar of the diagram corresponds to the number of independent records of ocelots (indicated within the diagram with values between 0 to 8 records). The hours of the day, diurnal records (in yellow) and nocturnal records (in gray) are indicated in the diagram.

opencc-by-4.0Jun 2023View details →
zenodo40/100

Figura 3 in Densidad, abundancia relativa y patrones de actividad de Leopardus pardalis (Carnivora: Felidae) en la Reserva Natural y de Usos Múltiples San Pablo, Yungas de Tucumán

Figura 3. Área efectiva de muestreo. Los sitios de muestreo están representados con puntos negros. Figure 3. Effective area sampled. Sampling sites are represented with black dots.

opencc-by-4.0Jun 2023View details →
zenodo40/100

Figura 1 in Densidad, abundancia relativa y patrones de actividad de Leopardus pardalis (Carnivora: Felidae) en la Reserva Natural y de Usos Múltiples San Pablo, Yungas de Tucumán

Figura 1. Área de estudio. Unidades (sitios) de muestreo con fototrampeo (amarillo) dentro de la Reserva San Pablo (en naranja). En amarillo se indican las 10 unidades (sitios) de muestreo con fototrampeo. La ubicación del área de estudio en la provincia de Tucumán se indica a la derecha. Figure 1. Study area. Camera-trap sampling units (sites, in yellow) within San Pablo Reserve (in orange). The 10 sampling sites with camera-trapping are indicated in yellow. The area occupied by the San Pablo Reserve is indicated in orange. The location of the study area within Tucumán province is indicated in the right.

opencc-by-4.0Jun 2023View details →
zenodo40/100

Figura 2 in Primeros de registros de ocelote Leopardus pardalis (Linneaus, 1758) (Carnivora: Felidae) en la provincia Catamarca, Argentina

Figura 2. Individuo de L. pardalis registrado en las cercanías del arroyo Los Laureles, departamento Paclín, provincia de Catamarca, el día 30 de agosto de 2019.

opencc-by-4.0Jun 2021View details →
zenodo40/100

Figure 1 in Primeros de registros de ocelote Leopardus pardalis (Linneaus, 1758) (Carnivora: Felidae) en la provincia Catamarca, Argentina

Figure 1. Geographic location of the documented record of L. pardalis in Catamarca province. The yellow dot represents the site of the records. Satellite base map extracted from the Instituto Nacional de Geografía [IGN] (2014) and aggregated map extracted from Google Earth (2019).

opencc-by-4.0Jun 2021View details →
zenodo40/100

Figure 4 in Primeros de registros de ocelote Leopardus pardalis (Linneaus, 1758) (Carnivora: Felidae) en la provincia Catamarca, Argentina

Figure 4. Captures of the videos in which L. pardalis was recorded on August 23, 2020. In "B" it is very clearly the pattern of spots on its body.

opencc-by-4.0Jun 2021View details →
zenodo40/100

Figure 3 in Primeros de registros de ocelote Leopardus pardalis (Linneaus, 1758) (Carnivora: Felidae) en la provincia Catamarca, Argentina

Figure 3. Photo belonging to the second record, on August 23, 2020. The image shows the characteristic features of L. pardalis, such as its spots pattern and its short and wide tail (Chebez, 1994; Canevari y Fernández Balboa, 2003).

opencc-by-4.0Jun 2021View 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

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

Open the record for dataset details and reuse information.

publicDec 2020View details →
dryad32/100

Data from: Noninvasive individual and species identification of jaguars (Panthera onca), pumas (Puma concolor) and ocelots (Leopardus pardalis) in Belize, Central America using cross-species microsatellites and fecal DNA

There is a great need to develop efficient, noninvasive genetic sampling methods to study wild populations of multiple, co-occurring, threatened felids. This is especially important for molecular scatology studies occurring in challenging tropical environments where DNA degrades quickly and the quality of faecal samples varies greatly. We optimized 14 polymorphic microsatellite loci for jaguars (Panthera onca), pumas (Puma concolor) and ocelots (Leopardus pardalis) and assessed their utility for cross-species amplification. Additionally, we tested their reliability for species and individual identification using DNA from faeces of wild felids detected by a scat detector dog across Belize in Central America. All microsatellite loci were successfully amplified in the three target species, were polymorphic with average expected heterozygosities of HE = 0.60 ± 0.18 (SD) for jaguars, HE = 0.65 ± 0.21 (SD) for pumas and HE = 0.70 ± 0.13 (SD) for ocelots and had an overall PCR amplification success of 61%. We used this nuclear DNA primer set to successfully identify species and individuals from 49% of 1053 field-collected scat samples. This set of optimized microsatellite multiplexes represents a powerful tool for future efforts to conduct noninvasive studies on multiple, wild Neotropical felids.

opencc-zeroDec 2013View details →
dryad32/100

Data from: Habitat use of the ocelot (Leopardus pardalis) in Brazilian Amazon

Amazonia forest plays a major role in providing ecosystem services for human and sanctuaries for wildlife. However, ongoing deforestation and habitat fragmentation in the Brazilian Amazon has threatened both. The ocelot is an ecologically important mesopredator and a potential conservation ambassador species, yet there are no previous studies on its habitat preference and spatial patterns in this biome. From 2010 to 2017, twelve sites were surveyed, totaling 899 camera trap stations, the largest known dataset for this species. Using occupancy modeling incorporating spatial autocorrelation, we assessed habitat use for ocelot populations across the Brazilian Amazon. Our results revealed a positive sigmoidal correlation between remote‐sensing derived metrics of forest cover, disjunct core area density, elevation, distance to roads, distance to settlements and habitat use, and that habitat use by ocelots was negatively associated with slope and distance to river/lake. These findings shed light on the regional scale habitat use of ocelots and indicate important species–habitat relationships, thus providing valuable information for conservation management and land‐use planning.

opencc-zeroDec 2018View details →
zenodo32/100

Supplementary Information: Video data files: Gray et al. Caught on camera: Ocelot, Leopardus pardalis (Mammalia: Felidae) predation on foam nests of Savage's thin-toed frog, Leptodactylus savagei (Amphibia: Leptodactylidae)

<p>Supplementary Information: Original camera trap footage for Gray, Ibáñez, Barrios &amp; Potvin: Caught on camera: Ocelot, <i>Leopardus pardalis&nbsp;</i>(Mammalia: Felidae) predation on foam nests of Savage's thin-toed frog, <i>Leptodactylus savagei</i> (Amphibia: Leptodactylidae).&nbsp;</p><p>&nbsp;</p>

opencc-by-4.0Oct 2023View details →
zenodo32/100

Figure 4 in Use of remote cameras to evaluate ocelot (Leopardus pardalis) population parameters in seasonal tropical dry forests of central-western Mexico

Figure 4: Relationship between estimated ocelot density and precipitation in tropical rain forests (TRF) and tropical seasonal ecosystems (TSE). Ocelot density in tropical rain forest was the closest to show a significant increase with annual precipitation (R2 = 0.2463, p = 0.071).

opennotspecifiedApr 2017View details →
zenodo32/100

Figure 3 in Use of remote cameras to evaluate ocelot (Leopardus pardalis) population parameters in seasonal tropical dry forests of central-western Mexico

Figure 3: Estimated ocelot density in tropical rainforest sites (TRF) and tropical seasonal ecosystems (TSE). Thick horizontal lines correspond to median values. The upper and lower extremes of the boxes correspond to the first and third quartiles, whiskers correspond to 1.5 times the interquartile range of the data and empty circles are outliers.

opennotspecifiedApr 2017View details →
zenodo32/100

Figure 2 in Use of remote cameras to evaluate ocelot (Leopardus pardalis) population parameters in seasonal tropical dry forests of central-western Mexico

Figure 2: Examples of markings employed for individual recognition of ocelots. (A) and (B) Photographic recapture of same individual in the locality of El Naranjal. (C) and (D) Different individuals recorded in the locality of Playa del Venado. The oval indicates an example of a set of unique spot and stripes patterns employed for individual identification.

opennotspecifiedApr 2017View details →
dryad32/100

Data from: Noninvasive individual and species identification of jaguars (Panthera onca), pumas (Puma concolor) and ocelots (Leopardus pardalis) in Belize, Central America using cross-species microsatellites and fecal DNA

Open the record for dataset details and reuse information.

publicApr 2014View details →
dryad32/100

Data from: Habitat use of the ocelot (Leopardus pardalis) in Brazilian Amazon

Open the record for dataset details and reuse information.

publicApr 2019View details →
zenodo20/100

Figure 1 in Use of remote cameras to evaluate ocelot (Leopardus pardalis) population parameters in seasonal tropical dry forests of central-western Mexico

Figure 1: Potential distribution of ocelot and location of study site a in western Mexico. (A) Location of study sites (star) within the potential ocelot distribution (gray area) and of studies using camera-traps and capture-recapture models included in our review (see, Table 2). (B) Location of the two sampling sites in the central-western of Mexico (black star = El Naranjal and white star = Playa del Venado). Urban areas are shown in black and protected natural areas are indicated with a black grid.

opennotspecifiedApr 2017View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

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)

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.

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