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121 results for “coyote”

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zenodo40/100

Fig. 1 in Detection of Dirofilaria immitis via integrated serological and molecular analyses in coyotes from Texas, United States

Fig. 1. Texas locations where samples were collected, including Webb, Maverick, Jim Hogg, Haskell, Throckmorton, Hutchinson, Roberts, Reeves, and Loving counties.

opencc-by-4.0Aug 2022View details →
zenodo40/100

Linked collectors and determiners for: Variation In The Epiproct Of Arsapnia Decepta Banks, 1897 (Plecoptera: Capniidae), With Comments On Arsapnia Coyote (Nelson & Baumann 1987).

Natural history specimen data linked to collectors and determiners held within, "Variation In The Epiproct Of Arsapnia Decepta Banks, 1897 (Plecoptera: Capniidae), With Comments On Arsapnia Coyote (Nelson &amp; Baumann 1987)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/2db066bb-70d2-4ae3-9c6d-357970724db5">https://bionomia.net/dataset/2db066bb-70d2-4ae3-9c6d-357970724db5</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/2db066bb-70d2-4ae3-9c6d-357970724db5">https://gbif.org/dataset/2db066bb-70d2-4ae3-9c6d-357970724db5</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
dryad40/100

Sensory integration of danger and safety cues explains the fear of a quiet coyote

<p>Sensory integration theory predicts natural selection should favor adaptive responses of animals to multiple forms of information, yet empirical tests of this prediction are rare, particularly in free-living mammals. Studying indirect predator cues offers a salient opportunity to inquire about multimodal risk assessment and its potentially interactive effects on prey responses. Here we exposed California ground squirrels from two study sites (that differ in human and dog activity) to acoustic and/or olfactory predator cues to reveal divergent patterns of signal dominance. Olfactory information most strongly predicted space use within the testing arena. That is, individuals, especially those at the human-impacted site, avoided coyote urine, a danger cue that may communicate the proximity of a coyote. In contrast, subjects allocated less time to risk-sensitive behaviors when exposed to acoustic cues. Specifically, although individuals were consistent in their behavioral responses across trials, "quiet coyotes" (urine without calls) significantly increased the behavioral reactivity of prey, likely because coyotes rarely vocalize when hunting. More broadly, our findings highlight the need to consider the evolution of integrated fear responses and contribute to an emerging understanding of how animals integrate multiple forms of information to tradeoff between danger and safety cues in a changing world.</p>

opencc-zeroJan 2023View details →
dryad40/100

GPS collar data and social-ecological feature data for examining the movement of coyotes in Los Angeles, California (2019-2021)

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publicFeb 2025View details →
dryad40/100

Data from: Assessment of coyote-wolf-dog admixture using ancestry-informative diagnostic SNPs

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publicSep 2022View details →
dryad40/100

Abundance-mediated species interactions between coyote, fisher, and marten in Northeastern US

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publicNov 2024View details →
dryad40/100

Sensory integration of danger and safety cues explains the fear of a quiet coyote

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publicJan 2023View details →
dryad40/100

Data from: Coyotes display minimal response to Cougar scent at experimental carcass sites

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publicMay 2024View details →
dryad40/100

Geographic patterns in morphometric and genetic variation for coyote populations with emphasis on southeastern coyotes

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publicJul 2020View details →
dryad40/100

Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: co-occurrence of coyotes-fishers-martens

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publicJun 2024View details →
edi40/100

Coyote Population Densities at the Sevilleta National Wildlife Refuge, New Mexico (1992-2004)

This study measured the population dynamics of coyotes in the grasslands and creosote shrublands of McKenzie Flats, Sevilleta National Wildlife Refuge. The study was begun in January, 1992, and continued quarterly each year. Coyotes were sampled via scat counts along the roads of McKenzie Flats during winter, spring, summer, and fall of each year. The entire road transect was 21.5 miles in length. Scat counts over a week period (number of scats/mile/day) in each season along the roads were used to calculate the densities of coyotes (number of coyotes per square kilometer). Results from 1992 to 2002 indicated that autumn was the peak density period of the year, with generally steady declines through the year until the following autumn. Coyote populations appeared to fluctuate seasonally, but remained relatively stable at 0.27 +/- 0.03 (SE) coyotes per km2 during summer periods (this likely represents the "breeding pair" density, during which coyote pairs have set up territories and are raising young, but the pups have not as yet joined the parents in foraging activities).

openOpenSep 2010View details →
edi40/100

Vegetation Surveys in Chihuahuan Desert Grassland and Shrubland Sites Associated with Coyote Scat Surveys at the Sevilleta National Wildlife Refuge, New Mexico (2008-2009)

This data set contains information regarding vegetation structure at sites in grama grassland and both creosote and mesquite shrubland habitats at the Sevilleta NWR. This information was collected at randomly selected sites throughout the refuge. Each site is within 100 meters of one of the 22 road-based transects(20 in 2008) that were used to carry out coyote scat surveys during three seasons (spring, summer and fall) in 2009 (see "Coyote scat surveys in grassland and shrubland sites at the Sevilleta NWR, spring, summer and fall 2009" data set). Data was collected within at total of 22 circular vegetation plots (40 in 2008), each of which is 30m in diameter. Each plot was surveyed a total of three times, specifically in: April (spring), July (summer), and October (fall) 2009. Variables were selected based on their relevance to patterns of coyote habitat use, as well as their utility in calibrating Landsat images of the study site and the likelihood that they would vary seasonally. Measured variables include: average percent live woody vegetation cover, average percent live grass cover, average percent live forb cover, and average woody plant height. Information on woody plant species with individuals greater than 0.5 m in height is also presented.

openOpenSep 2010View details →
edi40/100

Coyote Scat Survey in the Chihuahuan Desert Grasslands and Creosote Shrublands at the Sevilleta National Wildlife Refuge, New Mexico (1992-2004)

This study measured the population dynamics of coyotes in the grasslands and creosote shrublands of McKenzie Flats, Sevilleta National Wildlife Refuge. The study was begun in January, 1992, and continued quarterly each year. Â Coyotes were sampled via scat counts along the roads of McKenzie Flats during winter, spring, summer, and fall of each year. The entire road transect was 21.5 miles in length. Scat counts over a week period (number of scats/mile/day) in each season along the roads were used to calculate the densities of coyotes (number of coyotes per square kilometer). Results from 1992 to 2002 indicated that autumn was the peak density period of the year, with generally steady declines through the year until the following autumn. Coyote populations appeared to fluctuate seasonally, but remained relatively stable at 0.27 +/- 0.03 (SE) coyotes per km2 during summer periods (this likely represents the "breeding pair" density, during which coyote pairs have set up territories and are raising young, but the pups have not as yet joined the parents in foraging activities).

openOpenFeb 2011View details →
zenodo36/100

Coyote Village Kiva

This is a model of a keyhole-shaped kiva from Coyote Village, which is part of the Far View sites at Mesa Verde (https://www.nps.gov/meve/learn/historyculture/mt_far_view_sites.htm) The model was made from 104 images using a Samsung Galaxy S6 smartphone and processed with Agisoft Photoscan. Source: Objaverse 1.0 / Sketchfab

opencc-byOct 2017View details →
zenodo36/100

Data for White-tailed Deer Detection Intensity Increases When Coyotes Are Present

<p>Data and code used for fitting two-species occupancy model with continuous time detection process.</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

Coyote en la Fuente de Nezahualcóyotl

Coyote ubicado en uno de los extremos de la Fuente de Nezahualcóyotl, dentro del Bosque de Chapultepec en la Ciudad de México https://goo.gl/maps/9VqYyuxFkfgst9Ht9 Source: Objaverse 1.0 / Sketchfab

opencc-byFeb 2021View details →
zenodo36/100

Code For: Invasive wild pig carcass availability does not affect coyote abundance

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opencc-by-4.0Mar 2024View details →
dryad36/100

Data from: Urbanization and primary productivity mediate the predator-prey relationship between deer and coyotes

<p>Predator-prey interactions are important to regulating populations and structuring communities but are affected by many dynamic, complex factors, across larges-scales, making them difficult to study. Integrated population models (IPMs) offer a potential solution to understanding predator-prey relationships by providing a framework for leveraging many different datasets and testing hypotheses about interactive factors. Here, we evaluate the coyote-deer (<em>Canis latrans</em> – <em>Odocoileus virginianus</em>) predator-prey relationship across the state of North Carolina (NC). Because both species have similar habitat requirements and may respond to human disturbance, we considered net primary productivity (NPP) and urbanization as key mediating factors. We estimated deer survival and fecundity by integrating camera trap, harvest, biological and hunter observation datasets into a two-stage, two-sex Lefkovich population projection matrix. We allowed survival and fecundity to vary as functions of urbanization, NPP and coyote density and projected abundance forward to test eight hypothetical scenarios. We estimated initial average deer and coyote densities to be 11.83 (95% CI: 5.64, 20.80) and 0.46 (95% CI: 0.02, 1.45) individuals/km<sup>2</sup>, respectively. We found a negative relationship between current levels of coyote density and deer fecundity in most areas which became more negative under hypothetical conditions of lower NPP or higher urbanization, leading to lower projected deer abundances. These results suggest that coyotes could have stronger effects on deer populations in NC if their densities rise, but primarily in less productive and/or more suburban habitats. Our case study provides an example of how IPMs can be used to better understand the complex relationships between predator and prey under changing environmental conditions.</p>

opencc-zeroApr 2024View details →
dryad36/100

Data from: Coyote diet in North America: geographic and ecological patterns during range expansion

<p>This dataset was used to review and analyze coyote diets across North America in "Coyote diets in North America: geographic and ecological patterns during range expansion" by Jensen et al. in Mammal Review. We only include data from studies that reported data as percent frequency of occurrence and from multiple seasons. We ultimately used 93 of the included studies (294 seasonal records) in our analyses.</p>

opencc-zeroMay 2022View details →
dryad36/100

Temporal data from camera trap captures of raccoons (Procyon lotor) and coyote (Canis latrans) across urban-rural gradient Michigan 2015-2020

<p>Temporal data and trap success for raccoons (<em>Procyon lotor</em>) and coyotes (<em>Canis latrans</em>) across an urban-rural gradient in Michigan, from 2015 to 2020. These data are associated with the article "Temporal refuges of a subordinate carnivore vary across rural-urban gradient" in the journal Ecology and Evolution. </p>

opencc-zeroAug 2022View 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)

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