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235 results for “Canis”
Spatial and temporal dynamics of space use by free-ranging domestic dogs Canis familiaris in rural Africa
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Temporal data from camera trap captures of raccoons (Procyon lotor) and coyote (Canis latrans) across urban-rural gradient Michigan 2015-2020
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Understanding habitat selection of range-expanding populations of large carnivores: 20 years of grey wolves (Canis lupus) recolonizing Germany
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Data for: Geographic isolation reduces genetic diversity of a wide-ranging terrestrial vertebrate, Canis lupus
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Data from: Ecology of domestic dogs (Canis familiaris) as a host for Guinea worm (Dracunculus medinensis) infection in Ethiopia
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Domestic dogs (Canis familiaris) recognise meaningful content in monotonous streams of read speech
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Environmental impact assessment for large carnivores: a methodological review of the wolf (Canis lupus) monitoring in Portugal
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Ecology of domestic dogs Canis familiaris as an emerging reservoir of Guinea worm Dracunculus medinensis infection
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Canis lupus fecal DNA dataset
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Data from: Using multiple scales of movement to highlight risk-reward strategies of coyotes (Canis latrans) in mixed-use landscapes
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Sevilleta site, station Sevilleta, study of animal density of Canis latrans in units of numberPerKilometerSquared on a quarterly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Sevilleta (SEV) contains animal density of Canis latrans measurements in numberPerKilometerSquared units and were aggregated to a quarterly timescale.
Sevilleta site, station Sevilleta, study of animal density of Canis latrans in units of numberPerKilometerSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Sevilleta (SEV) contains animal density of Canis latrans measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.
FIGURE 4. A in Taxonomic status of the Australian dingo: the case for Canis dingo Meyer, 1793
FIGURE 4. A summary of the evolutionary relationships among wolves, dingoes and modern domestic dogs. This figure is a synthesis of the various dog-origin models from vonHoldt et al. (2010), Cairns & Wilton (2016) and vonHoldt & Driscoll (2016). Dingoes and other ancient lineages of dog such as New Guinea singing dogs form a distinct lineage separate from modern domestic dogs which have undergone successive generations of artificial selection.
FIGURE 3 in Taxonomic status of the Australian dingo: the case for Canis dingo Meyer, 1793
FIGURE 3. Genetic variation among dingoes, New Guinea singing dogs, wolves and modern domestic dogs based on genomewide single-nucleotide polymorphism (SNP) data expressed using principal components analysis (PCA) representing 841 dogs (green), 24 dingoes (black), 5 New Guinea singing dogs (orange), 14 wolves (blue). Within the dogs there were 292 breed dogs (light green) and 549 village dogs (dark green). We genotyped each of these canid samples using the Illumina CanineHD 170 SNP chip (data from Cairns 2015 and Shannon et al. 2015). We analysed genotype data in PLINK 1.9 (Chang et al. 2015) by merging the datasets and removing SNPs that were missing in more than 10% of samples. The total remaining SNP markers were 166,019. We did the PCA in PLINK 1.9 and visualised the results using R (v 3.2.1). PC1 accounts for 49.2% of variation,
FIGURE 2. Cranial 3-D in Taxonomic status of the Australian dingo: the case for Canis dingo Meyer, 1793
FIGURE 2. Cranial 3-D reconstructions of a dingo (bottom) and a free-ranging dog (top), highlighting the differences in cranial morphology mentioned in the text. The dog cranium has been scaled to match the length of the dingo cranium to facilitate the comparison of feature shape. The dingo (male) was collected from Minburra Station in South Australia. The dog (female, 14.5 kg) was collected in 1981 from the Victorian Highlands (Evan Jones Collection).
FIGURE 1 in Taxonomic status of the Australian dingo: the case for Canis dingo Meyer, 1793
FIGURE 1. An example of a typical dingo phenotype. Photograph depicts a male from K'gari-Fraser Island (Queensland) by John Williams.
Data from: Social facilitation can impact the responses of free-ranging dogs (Canis lupus familiaris) towards physical cognitive tasks
<p><span>Dogs are known to persist less in problem-solving tasks independently. While most of the studies so far have reported results based on experiments in pet dogs, conclusive evidence from free-ranging subpopulations is lacking. Free-ranging dogs are primarily scavengers and require problem-solving abilities to survive. We provided dogs with a familiar or an unfamiliar task in the presence of conspecifics. Both the tasks provided a single food-reward upon solving. We coded success, latency, and the duration of active engagement of the dogs in this study. We compared them with an earlier published dataset where individual dogs were tested in identical experimental set-ups. Our findings show that dogs have higher success rates in both the familiar and unfamiliar tasks when tested in the presence of conspecifics than when alone, suggesting a role of social facilitation. Furthermore, the presence of conspecifics facilitated dogs to approach faster and engage longer in the unfamiliar task than when tested alone. We provide the first evidence that social facilitation may play a crucial role in free-ranging dogs, especially in the context of problem-solving. </span></p>
Wolves are back: Sociopolitical identity and opinions on management of Canis lupus
<p>In 2010 an interdisciplinary team of social and natural scientists began a project to study society–environment interactions in northeast Oregon. At first, the Communities and Forests in Oregon (CAFOR) project focused on Baker, Union and Wallowa Counties. Subsequently the project's scope expanded to cover Crook, Grant, Umatilla and Wheeler Counties. One part of the CAFOR research involved a series of telephone surveys carried out in four stages over 2011 to 2018. The surveys employed consistent methods with landline or cell telephone interviews of independent random samples conducted by trained personnel from the Survey Center of the University of New Hampshire. Questions covered a range of topics related to environment and community change. Some questions were repeated with identical wording on two, three or four surveys, watching for continuity and change in public opinion. The survey design involved stratification with oversampling of smaller-population counties, and in some cases also of forest landowners. To adjust for both design and response bias, probability weights (inverse of the probability of selection) are applied for all graphs and statistical analyses in this paper. Effects of this weighting on variables of interest here are not large, but make the results more representative with respect to county populations and age/sex distributions. Geographic coverage varied across the four surveys. The initial stage in 2011 sampled residents from three counties: Baker, Union and Wallowa. Subsequently, the 2014 and 2015 surveys expanded to seven contiguous counties, including those three. The project's final survey in 2018 refocused on the original three. A total of 5,085 interviews had been conducted, 3,782 of them involving residents of Baker, Union or Wallowa County. To maintain comparability, our analysis in this dataset concerns only that three-county subset, although findings remain broadly similar in analyses using the complete seven-county dataset.</p>
Canis dirus and Smilodon Procrustes coordinates
<p>The primary goal of this paper is to examine and rationalize different integration metrics used in geometric morphometrics, in an attempt to arrive at a common basis for the characterization of phenotypic covariance in landmark data. We begin with a model system; two populations of Pleistocene dire wolves from Rancho La Brea that we examine from a data-analytic perspective to produce candidate models of integration. We then test these integration models using the appropriate statistics and extend this characterization to measures of whole-shape integration. We demonstrate that current measures of whole-shape integration fail to capture differences in the strength and pattern of integration. We trace this failure to the fact that current whole-shape integration metrics purport to measure only the pattern of inter-trait covariance, while ignoring the dimensionality across which trait variance is distributed. We suggest a modification to current metrics based on consideration of the Shannon, or information, entropy, and demonstrate that this metric successfully describes differences in whole shape integration patterns. Our new metric allows detailed comparison of the hyperellipses occupied by the two populations in morphospace (which is a form of covariance space). Finally, the information entropy approach allows comparison of whole shape integration in a dense semilandmark environments, and we demonstrate that the metric introduced here allows comparison of shape spaces that differ arbitrarily in their dimensionality and landmark membership.</p>
Data from: Spatial genetic and morphologic structure of wolves and coyotes in relation to environmental heterogeneity in a Canis hybrid zone
Eastern wolves have hybridized extensively with coyotes and gray wolves and are listed as a 'species of special concern' in Canada. However, a distinct population of eastern wolves has been identified in Algonquin Provincial Park (APP) in Ontario. Previous Canis studies have not linked genetic analysis with field data to investigate genotype-specific morphology or determine how resident animals of different ancestry are distributed across the landscape in relation to heterogeneous environmental conditions. Accordingly, we studied resident wolves and coyotes in and adjacent to APP to identify distinct Canis types, clarify the occurrence of eastern wolves adjacent to APP, and investigate spatial genetic structure and landscape-genotype associations in the hybrid zone. We documented 3 genetically distinct Canis types that also differed morphologically, corresponding to putative gray wolves, eastern wolves, and coyotes. We also documented a substantial number of hybrid individuals (36%). Breeding eastern wolves were less common outside of APP, but occurred in some unprotected areas. We identified a steep cline extending west from APP where the dominant genotype shifted abruptly from eastern wolves to coyotes and hybrids. The genotypic pattern to the south and northwest was a more complex mosaic of alternating genotypes. We modeled genetic ancestry in response to prey availability and human disturbance and found positive and negative associations between wolf ancestry and 1) moose density and 2) road densities, respectively. Our results clarify the structure of the Canis hybrid zone adjacent to APP and provide unique insight into environmental conditions influencing hybridization dynamics between wolves and coyotes.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.