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.
27
datasets available to search
ShareScore release 0.7.1
Dataset results
27 results for “Odocoileus virginianus”
Odocoileus virginianus (Cervidae) - whole organism
Image of Odocoileus virginianus (Cervidae) - whole organism
Odocoileus virginianus (Cervidae) - whole organism
Image of Odocoileus virginianus (Cervidae) - whole organism
Fig. 2 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 2. Locations of nilgai lure transects (red bars) at the Santa Rosa Ranch near Riviera, TX. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 5 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 5. Nilgai cow visiting lure site (A) and (B) nilgai bull defecating at offal lure site at the East Foundation's Santa Rosa Ranch, near Riviera, TX.
Fig. 4 in Molecular screening for rickettsial bacteria and piroplasms in ixodid ticks surveyed from white-tailed deer (Odocoileus virginianus) and nilgai antelope (Boselaphus tragocamelus) in southern Texas
Fig. 4. Phylogentic analysis of sca0 (rompA) sequences from putative Rickettsia sp. endosymbionts of Amblyomma maculatum and Ixodes scapularis ticks collected from white-tailed deer in southern Texas. This is a maximum-likelihood tree that is rooted at midpoint. Branch support was assessed with 10,000 replicates of UFBoot bootstrap replication, and bootstrap percentages are indicated at each branch point in the tree. Sequences from GenBank used in the comparative analysis were annotated as rickettsial endosymbionts. Accession numbers and tick species from which sequence was identified are included on the branch label.
Fig. 3 in Molecular screening for rickettsial bacteria and piroplasms in ixodid ticks surveyed from white-tailed deer (Odocoileus virginianus) and nilgai antelope (Boselaphus tragocamelus) in southern Texas
Fig. 3. Phylogentic analysis of Theileria sp. fragments from Anocenter nitens ticks. Representative Type F, Type G, and 'divergent' Theileria sp. sequences were identified from individual A. nitens ticks collected from white-tailed deer and a single nilgai host (bold labels). A maximum-likelihood tree was constructed using Toxoplasma gondii as the outgroup, as it is from a different axpicomplexan class than Theileria. Branch support was assessed with 10,000 replicates of UFBoot bootstrap replication, and bootstrap percentages are indicated at each branch point in the tree. GenBank accession numbers and annotated identification for sequences used in the comparative analysis are indicated on the branch labels. Accession numbers in italics are those T. cervi sequences from white-tailed deer on the East Foundation's San Antonio Viejo Ranch in Starr and Jim Hogg Counties, Texas (Yu et al., 2020).
Fig. 2 in DNA sequencing confirms meningeal worm (Parelaphostrongylus tenuis) and muscle worm (Parelaphostrongylus andersoni) in white-tailed deer (Odocoileus virginianus): Implications for moose (Alces alces) management
Fig. 2. Summary of Parelaphostrongylus spp. infection in white-tailed deer (Odocoileus virginianus) fecal samples collected in Western Manitoba. Partial CO1 and ITS-2 genetic sequence results found white-tailed deer fecal samples with Parelaphostrongylus andersoni and Parelaphostrongylus tenuis in game hunting area (GHA) 13, 18 and 27 and only P. tenuis infected fecal pellets in GHA 22. GHA 13 and 18 (blue) are areas where moose populations are a management concern whereas GHAs 22 and 27 (yellow) are areas where moose populations are not a management concern. GHAs 18 and 22 were sampled in 2020 (light colors) while GHAs 13 and 27 were sampled in 2021 (dark colors). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in DNA sequencing confirms meningeal worm (Parelaphostrongylus tenuis) and muscle worm (Parelaphostrongylus andersoni) in white-tailed deer (Odocoileus virginianus): Implications for moose (Alces alces) management
Fig. 1. Average dorsal-spined larvae (DSL) prevalence in white-tailed deer (Odocoileus virginianus) fecal samples in each game hunting area (GHA) sampled in Manitoba in 2020 and 2021. For trips, early summer collection was in June, mid-summer was July–August and late summer was August–September. GHA 13 and 18 (blue) are areas where moose populations are a management concern whereas GHAs 22 and 27 (yellow) are areas where moose populations are not a management concern. GHAs 18 and 22 were sampled in 2020 (light colors) while GHAs 13 and 27 were sampled in 2021 (dark colors). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Density-habitat relationships of white-tailed deer (Odocoileus virginianus) in Finland
<p>In heterogeneous landscapes, resource selection constitutes a crucial link between landscape and population-level processes such as density. We conducted a non-invasive genetic study of white-tailed deer in southern Finland in 2016 and 2017 using fecal DNA samples to understand factors influencing white-tailed deer density and space use in late summer prior to the hunting season. We estimated deer density as a function of landcover types using a spatial capture-recapture (SCR) model with individual identities established using microsatellite markers. The study revealed second-order habitat selection with highest deer densities in fields and mixed forest, and third-order habitat selection (detection probability) for transitional woodlands (clear-cuts) and closeness to fields. Including landscape heterogeneity improved model fit and increased inferred total density compared with models assuming a homogenous landscape. Our findings underline the importance of including habitat covariates when estimating density and exemplifies that resource selection can be studied using non-invasive methods.</p>
Density-habitat relationships of white-tailed deer (Odocoileus virginianus) in Finland
Open the record for dataset details and reuse information.
Pellet group surveys of white-tailed deer (Odocoileus virginianus) in Black Rock Forest, Cornwall, NY 2014-2024.
Black Rock Forest in Cornwall, NY began using deer pellet group surveys in 2014 to assess deer abundance. Observers walked set transects and recorded the number of pellet groups in a 1.2m radius circular plot every 30.5m. Data include, date, transect location within Black Rock Forest, observer, number of pellet groups per plot, and observations.
Fig. 1 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 1. The location of the study site (Santa Rosa Ranch) near Riviera, TX.
Fig. 3 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 3. Lure bucket recessed into soil at each treatment location at the Santa Rosa Ranch.
Fig. 4 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 4. Distribution of animal visits to lure sites at the Santa Rosa Ranch, near Riviera, TX.
Data from: White-tailed deer (Odocoileus virginianus) exclusion shifts soil carbon dynamics in mature oak-dominated and hemlock-dominated forest stands
Open the record for dataset details and reuse information.
Data from: Absence of founder effect and evidence for adaptive divergence in a recently introduced insular population of white-tailed deer (Odocoileus virginianus).
<p>Islands are generally colonized by few individuals which could lead to a founder effect causing loss of genetic diversity and rapid divergence by strong genetic drift. Insular conditions can also induce new selective pressures on populations. Here, we investigated the extent of genetic differentiation within a white-tailed deer (<i>Odocoileus virginianus</i>) population introduced on an island and its differentiation with its source mainland population. In response to their novel environmental conditions, introduced deer changed phenotypically from mainland individuals, therefore we investigated the genetic bases of the morphological differentiation. The study was conducted on Anticosti Island (Québec, Canada) where 220 individuals were introduced 120 years ago, resulting in a population size over 160,000 individuals. We used genotyping-by-sequencing (GBS) to generate 8,518 filtered high-quality SNPs and compared patterns of genetic diversity and differentiation between the continental and Anticosti Island populations. Clustering analyses indicated a single panmictic island population and no sign of isolation by distance. Our results revealed a weak, albeit highly significant, genetic differentiation between the Anticosti Island population and its source population (mean <i>F</i><sub>ST</sub> = 0.005), which allowed a population assignment success of 93%. Also, the high genetic diversity maintained in the introduced population supports the absence of a strong founder effect due to the large number of founders followed by rapid population growth. We further used a polygenic approach to assess the genetic bases of the divergent phenotypical traits between insular and continental populations. We found loci related to muscular function and lipid metabolism, which suggested that these could be involved in local adaptation on Anticosti Island. We discuss these results in a harvest management context.</p>
Data from: "White-tailed deer (Odocoileus virginianus) transcriptome assembly and SNP discovery" in Genomic Resources Notes accepted 1 June 2013-31 July 2013
White-tailed deer (Odocoileus virginianus) are among the most abundant and widespread large mammals in the Americas, comprising up to 38 subspecies ranging from Northern Canada to Peru. Although believed to have high genetic diversity, surprisingly few genomic resources are currently available, despite the species' ecological and economic importance. White-tailed deer and other cervids throughout central North America are currently being afflicted by chronic wasting disease (CWD), one of the degenerative prion diseases collectively known as transmissible spongiform encephalopathies. Although CWD is of major importance to white-tailed deer management, little is currently known about innate resistance or susceptibility to CWD outside of polymorphisms in the prion protein gene, Prnp, though a recent study using microsatellites suggests that the disease may have additional underlying genetic components. Further association analysis is hindered by low marker density. In this study, we used high-throughput SOLiD sequencing to create novel sequence data for white-tailed deer and identify single-nucleotide polymorphisms, using the pooled blood transcriptomes of six individuals. In total, we generated 14,010 contigs of length ≥ 200 nt, representing 4,104,760 nt of unique sequence data, and we identified 66,596 SNPs. This data represents one of the largest genetic resources currently available for any cervid. We hope it will facilitate future research for population genomics and assist with the identification of genetic factors that underlie disease resistance and other traits relevant for conservation and management.
Patterns of Testosterone in Male White-tailed Deer (Odocoileus virginianus): Seasonal and Lifetime Variation
<p>Testosterone is strongly associated with the annual development of antlers in cervids, but. endocrine research on wild, freely breeding ungulates is often done without repeated capture of known-aged individuals. As a result, our knowledge on how testosterone fluctuates over the course of a lifetime and variation in lifetime patterns among individuals is limited. We investigated patterns of testosterone in a freely breeding population of white-tailed deer (<i>Odocoileus virginianus</i>) in Alabama, USA that breeds in January. Testosterone peaked during the height of the breeding season, despite this period occurring approximately two months later than in most temperate-region, white-tailed deer populations. Age-related differences in testosterone were only prevalent during the breeding season, with bucks ≥3.5 years old having greater testosterone (853 ng/dl ±96 SE; <i>P</i> = 0.012) than bucks 1.5–2.5 years old (364 ng/dl ±100 SE). Additionally, an individual's testosterone level as a yearling was not positively associated with their lifetime maximum testosterone level (<i>P</i> = 0.583), and an individual's mean testosterone level was positively associated with lifetime testosterone variation (<i>P</i> < 0.001). To our knowledge our study is one of the first to assess how testosterone early in life might relate to individual testosterone later in life. We believe these data provide insight into lifetime hormonal patterns in cervids, and that these patterns may indicate intraspecific variation of lifetime reproductive strategies.</p>
Patterns of Testosterone in Male White-tailed Deer (Odocoileus virginianus): Seasonal and Lifetime Variation
Open the record for dataset details and reuse information.
Data from: The Odocoileus virginianus femur: mechanical behavior and morphology
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.