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.

60

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

60 results for “Feline”

Learn how ShareScore rates datasets ↗
zenodo40/100

Fig. 1 A in The first autochthonous case of feline ocular thelaziosis in Austria

Fig. 1 A map showing the distribution of known cases of Thelazia callipaeda infections in Europe. Black star indicates the location where the infected cat in Austria was found

opencc-by-4.0Mar 2019View details →
zenodo40/100

Fig. 2 in Toxoplasma gondii infection in European mouflons (Ovis musimon) and captive wild felines from Puebla, M�exico

Fig. 2. Representative PCR-RFLP pattern of T. gondii for SAG3 gene. Single and mixed infections in lions and mouflons tissues were observed. A. PCR for the SAG3 locus of lion 1 (L1, spleen), mouflon 1 (M1, brain) and mouflon 2 (M2, liver) samples. B. A triple infection is highlighted (yellow box). Resulting genotypes are specified at the bottom. In silico digestion was done by www.benchling.com. Reference strains sequences GT1, TGGT1_308020; Me49, TGME49_308020; VEG, TGVEG_308020 are available at www.toxodb.org. MW: molecular weight marker; RH and ME49 are reference strains, type I and II, respectively; M: mouflon, L: lion. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Dec 2020View details →
zenodo40/100

Fig. 1 in Toxoplasma gondii infection in European mouflons (Ovis musimon) and captive wild felines from Puebla, M�exico

Fig. 1. Toxoplasma gondii infection in captive mouflons in 2011 and 2012. A. Anti-T. gondii frequency distribution in fifty-five sera of mouflons sampled in 2011; black arrows indicate positive samples as determined by their position to the right of the normally distributed values of the left population. B. One year later, 41/55 original mouflons were captured, bled, and re-tested for antibodies against this parasite. The cut-off point used was 1.0 RI (dotted lines), which separated the negative population (left) from the positive cases. C. Three mouflons remained positive, five became negative, and four seroconverted positive in 2012 (red, green and blue dots, respectively); one mouflon is on the cut-off (orange dot). D. Immunohistochemistry for T. gondii in tissues from in the spleen of mouflon 1, where an immunopositive cumulus of tachyzoites can be seen (blue arrow). The nuclei of resident lymphocytes and dendritic cells were contrasted with Meyer's hematoxylin. Bar: 50 μm. R = Pearson correlation. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Dec 2020View details →
zenodo40/100

Fig. 1 in Equal contributions of feline immunodeficiency virus and coinfections to morbidity in African lions

Fig. 1. FIV infection is common in lions of Kruger National Park. Within the sample population, 72.8% (142/195) of lions were infected with FIV. Prevalence of FIV infection was similar between males and females (75.6% versus 70.2%; n = 74 and 121, respectively), but increased with host age (a). For ease of visualization, age has been broken up by life stage into cubs (0–2yrs), subadults (2.1–4yrs), young adults (4.1–6yrs), prime adults (6.1–8yrs), and seniors (>8yrs) based on previous age classifications (Schaller, 1976). Regional prevalence of FIV was highest in the central region and lowest in the north (b). The map to the right shows locations where lion prides were sampled.

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

Fig. 4 in Equal contributions of feline immunodeficiency virus and coinfections to morbidity in African lions

Fig. 4. FIV has strong direct and indirect effects on overall health. The final path model (a) shows only statistically significant relationships between manifest variables (rectangles) and latent variables (circles) for FIV infection, immune response (IMM), coinfections with hemoparasites (Hemoparasites), co-infections with gastrointestinal parasites (Helminths), and morbidity (Morbidity). Note that the parameter βx,z between each variable of interest represents the path coefficient obtained from least squares regression examining the relationship between one latent variable and the next (for example, FIV to IMM). Blue arrows represent positive relationships, whereas red arrows denote negative relationships. Final sample size was 106 lions.

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

Fig. 3 in Equal contributions of feline immunodeficiency virus and coinfections to morbidity in African lions

Fig. 3. FIV significantly increases the prevalence of select gastrointestinal and hemoparasitic coinfections, as well as overall parasite richness for both groups. Graph (a) shows the prevalence of coinfecting parasites isolated in lions from this study. Sample size for the parasite groups included is as follows: n = 114 for gastrointestinal parasites; n = 190 for hemoparasites; and n = 195 for viral parasites. Coinfections are broken down by FIV status (positive versus negative). The two additional graphs illustrate the relationship between FIV status and gastrointestinal parasite richness (b) and hemoparasite richness (c).

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

Fig. 2 in Equal contributions of feline immunodeficiency virus and coinfections to morbidity in African lions

Fig. 2. FIV has broad effects on lion health and is associated with progressive immune impairment. Box (2a) above provides a complete list of the health metrics measured for the purposes of this study. Arrows to the right of each variable summarize the directionality of statistically significant changes with FIV infection. Descriptive statistics and reference values can be found in Table 2. Complete model output can be found in supplementary tables S1–S4. For ease of visualization, each parameter has been broken into categories of clinical relevance. To the right, age-related changes in lymphocyte profiles are shown for total lymphocyte counts in FIV-positive versus FIV-negative lions (b); as well as specific lymphocyte subsets in FIV-positive lions (c). Due to small sample size for lymphocyte subsets, subadults, and cubs have been included together under the 'juvenile' category.

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

Figure 2 in Comparative bite forces and canine bending strength in feline and sabretooth felids: implications for predatory ecology

Figure 2. Scatter plot figures of Log10 body mass (BM in kg) plotted against (A) Log10 bite force (in N) at the canines and (B) Log10 bite force (N) at the carnassial paracone. Symbols:, extant felids; O, Homotherium (crenatidens, latidens, serum); –, Machairodus aphanistus; +, Machairodus giganteus; O, Megantereon (cultridens, sp.); Z, Smilodon fatalis;

opencc-by-4.0Oct 2007View details →
zenodo40/100

Figure 1 in Comparative bite forces and canine bending strength in feline and sabretooth felids: implications for predatory ecology

Figure 1. Skulls of sabrecat Smilodon populator in (A) lateral, (C) ventral, and (E) posterodorsal views, and of lion (Panthera leo) in (B) lateral, (D) ventral, and (F) posterodorsal views, to scale. Shaded areas in (C) and (D) represent the reconstructed cross-sectional area of the masseter–pterygoideus muscle groups, and in (E) and (F) represent the temporalis. The resultant force vector of the masseter–pterygoideus (M) acts through the centroid (white circle in C and D) with an inlever moment arm Im about the temporomandibular joint, and the resultant force vector of the temporalis (T) acts through the centroid (black circle in A and B, white circle in E and F) with an inlever moment arm (It) about the temporomandibular joint.

opencc-by-4.0Oct 2007View details →
zenodo40/100

Figure 3 in Comparative bite forces and canine bending strength in feline and sabretooth felids: implications for predatory ecology

Figure 3. Scatter plots of (A) Log10 body mass (BM in kg) to Log10 canine strength for bending about the lateromedial plane [extant felids: n = 11; Log10(SAP) = −0.850 ± 0.202 + Log10(BM) 0.944 ± 0.125; r = 0.985; F = 289.132; P << 0.001]; (B) Log10 BM (kg) to Log10 canine strength for bending about the anteroposterior plane [Log10(SLM) = −0.750 ± 0.155 + Log10(BM) 0.958 ± 0.096; r = 0.991; F = 503.168; P << 0.001]; (C) Log10 bite force at canine (BF in N) to Log10 canine strength for bending about the lateromedial plane [Log10(SAP) = −2.659 ± 0.756 + Log10(BF) 1.245 ± 0.156; r = 0.987; F = 327.704; P << 0.001]; (D) Log10 BF at canine (N) to Log10 canine strength for bending about the anteroposterior plane [Log10(SLM) = −2.579 ± 0.340 + Log10(BF) 1.260 ± 0.128; r = 0.991; F = 495.725; P << 0.001]. Symbols: Δ, Metailurus major; v, Metailurus parvulus. Other symbols are the same as in Figure 2.

opencc-by-4.0Oct 2007View details →
dryad40/100

Data from: Age estimation using methylation-sensitive high-resolution melting (MS-HRM) in both healthy felines and those with chronic kidney disease

<p>Age is an important ecological tool in wildlife conservation. However, it is difficult to estimate in most animals, including felines — most of whom are endangered. Here, we developed the first DNA methylation-based age-estimation technique — as an alternative to current age-estimation methods — for two feline species that share a relatively long genetic distance with each other: domestic cat (<i>Felis catus</i>; 79 blood samples) and an endangered <i>Panthera</i>, the snow leopard (<i>Panthera uncia</i>; 11 blood samples). We measured the methylation rates of two gene regions <span>using </span>methylation-sensitive high-resolution melting (MS-HRM). Domestic cat age was estimated with a mean absolute deviation (MAD) of 3.83 years. Health conditions influenced accuracy of the model. Specifically, the models built on cats with chronic kidney disease (CKD) had lower accuracy than those built on healthy cats. The snow leopard-specific model (i.e. the model that resets the model settings for snow leopards) had a better accuracy (MAD = 2.10 years) than that obtained on using the domestic cat model directly. This implies that our markers could be utilised across species, although changing the model settings when targeting different species could lead to better estimation accuracy. The snow leopard-specific model also successfully distinguished between sexually immature and mature individuals.</p>

opencc-zeroOct 2021View details →
dryad40/100

Data from: Age estimation using methylation-sensitive high-resolution melting (MS-HRM) in both healthy felines and those with chronic kidney disease

Open the record for dataset details and reuse information.

publicOct 2021View details →
zenodo36/100

Supplementary data for article 'Estimating and abstracting the 3D structure of feline bones using neural networks on X-ray (2D) images'

<p>3D DICOM volumes (CT scans) of feline femora, PNGs generated from them as DRRs using&nbsp;MeVisLab, and STLs generated from the DICOM volumes&nbsp;with MIMICS or&nbsp;MeshLab. Software to work with these files can be found at&nbsp;http://doi.org/10.5281/zenodo.3829423</p>

opencc-by-4.0May 2020View details →
dryad36/100

Feline 60K SNP chip data originated from the domestic cat in Japan

<p>Pedigreed cats have traditionally been mated with close relatives, which increases the risks for inbreeding depression and genetic disorders. We evaluated the genome-wide population structure and the degree of inbreeding of 1022 cats, including 13 pedigreed and two random bred populations from Japan and the USA, using single nucleotide polymorphism array-based data. </p>

opencc-zeroDec 2020View details →
dryad36/100

Complex feline disease mapping using a dense genotyping array

<p>The current feline genotyping array of 63k single nucleotide polymorphisms has proven its utility within breeds, and its use has led to the identification of variants associated with Mendelian traits in purebred cats. However, compared to single gene disorders, association studies of complex diseases, especially with the inclusion of random bred cats with relatively low linkage disequilibrium, require a denser genotyping array and an increased sample size to provide statistically significant associations. Here, we undertook a multi-breed study of 1,122 cats, most of which were admitted and phenotyped for nine common complex feline diseases at the Cornell University Hospital for Animals. Using a proprietary 340k single nucleotide polymorphism mapping array, we identified significant genome-wide associations with hyperthyroidism, diabetes mellitus, and eosinophilic keratoconjunctivitis. These results provide genomic locations for variant discovery and candidate gene screening for these important complex feline diseases, which are relevant not only to feline health, but also to the development of disease models for comparative studies.</p>

opencc-zeroApr 2022View details →
zenodo36/100

Raw datasets and media accompanying the manuscript: Extracellular Vesicles (EVs) Are Copurified with Feline Calicivirus, yet EV-Enriched Fractions Remain Infectious

<p>Raw datasets and media accompanying the manuscript: <strong>Extracellular Vesicles (EVs) Are Copurified with Feline Calicivirus,&nbsp;yet EV-Enriched Fractions Remain Infectious</strong></p>

opencc-by-4.0Jul 2022View details →
dryad36/100

Sample metadata for feline leukemia virus dataset

<p>Feline leukemia virus (FeLV) is a gammaretrovirus with horizontally transmitted and endogenous forms. Domestic cats are the primary reservoir species, but FeLV outbreaks in endangered Florida panthers and Iberian lynx have resulted in mortalities. To assess prevalence and interspecific/intraspecific transmission, we conducted an extensive survey and phylogenetic analysis of FeLV infection in free-ranging pumas (n=641), bobcats (n=212) and shelter domestic cats (n=304). Samples were collected from coincident habitats across the United States between 1985-2018.  FeLV infection was detected in 3.12% puma, 6.25% domestic cat, and 0.47% bobcat samples analyzed. Puma prevalence varied by location, with Florida having the highest rate of infection.  FeLV env sequences revealed variation among isolates, and we identified two distinct clades.  Both progressive and regressive infections were identified in cats and pumas. Based upon time and location of sampling and phylogenetic analysis, we inferred 3 spillover events between domestic cats and puma; 3 puma-to-puma transmissions were inferred in Florida. An additional 14 infections in pumas likely represented spillover events following contact with reservoir host domestic cat populations. Our data provides evidence that FeLV transmission from domestic cats to pumas occurs widely across the US, and puma-to-puma transmission may occur in genetically and geographically constrained populations.</p>

opencc-zeroJul 2022View details →
dryad36/100

Multi-omic, histopathologic, and clinicopathologic effects of once-weekly oral rapamycin in a naturally occurring feline model of hypertrophic cardiomyopathy: A pilot study

Open the record for dataset details and reuse information.

publicOct 2023View details →
dryad36/100

Sample metadata for feline leukemia virus dataset

Open the record for dataset details and reuse information.

publicJul 2022View details →
dryad36/100

Unraveling the genetics of feline hypertrophic cardiomyopathy: A multiomics study of 138 cats

Open the record for dataset details and reuse information.

publicJun 2025View 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