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.
13
datasets available to search
ShareScore release 0.9.0
Dataset results
13 results for “Wildlife health”
Fig. 1 in Are molecular tools clarifying or confusing our understanding of the public health threat from zoonotic enteric protozoa in wildlife?
Fig. 1. Phylogenetic relationships among genotypes of Encephalitozoon cuniculi, Encephalitozoon hellem and Encephalitozoon intestinalis based on: A) partial sequences of internal transcribed spacer gene (ITS), and B) partial sequences of polar tube protein gene (PTP). Numbers at the nodes represent the bootstrap values gaining more than 50% support based on 1000 replications. Phylogenetic trees were inferred by the Neighbour-Joining method with the A) Jukes-Cantor and B) Kimura 2- parameter models in MEGA6 software.
Fig. 2 in Are molecular tools clarifying or confusing our understanding of the public health threat from zoonotic enteric protozoa in wildlife?
Fig. 2. Phylogenetic relationships of the Enterocytozoon bieneusi genotypes identified in cervids. The phylogenetic tree was inferred with a neighbour-joining analysis of the E. bieneusi ITS sequences, based on distances calculated with the Kimura two-parameter model. Bootstrap values> 50% from 1,000 replicates are shown on the nodes. The E. bieneusi-ITS genotypes detected in cervids (more than one isolate) are shown, and those isolates that clustered into the same clade as those considered to be zoonotic are considered to be in Group 1, the "potentially zoonotic group".
Data from: City sicker? a meta-analysis of wildlife health and urbanization
Urban development can alter resource availability, land use, and community composition, in turn influencing wildlife health. Generalizable relationships between wildlife health and urbanization have yet to be quantified, and could vary across health metrics and animal taxonomy. We present a phylogenetic meta-analysis of 516 records spanning 81 wildlife species from 106 studies comparing the toxicant loads, parasitism, body condition, or stress of urban and non-urban wildlife populations in 30 countries. We find a significantly negative relationship between urbanization and wildlife health, driven by higher toxicant loads and greater parasitism by parasites transmitted through close contact. Invertebrates and amphibians were particularly affected, with higher toxicant loads and physiological stress in urban populations as compared to their non-urban counterparts. We also found strong geographic and taxonomic bias in research effort, highlighting future research needs. Our results suggest urban wildlife experience several health risks with potential threats to conservation.
Genomic epidemiology of Escherichia coli: antimicrobial resistance through a One Health lens in sympatric humans, livestock and peri-domestic wildlife in Nairobi, Kenya
<p><strong><span>Background</span></strong></p> <p><span>Livestock systems have been proposed as a reservoir for antimicrobial-resistant (AMR) bacteria and AMR genetic determinants that may infect or colonise humans, yet quantitative evidence regarding their epidemiological role remains lacking. Here we used a combination of genomics, epidemiology and ecology to investigate patterns of AMR gene carriage in <em>Escherichia</em> <em>coli</em>, regarded as a sentinel organism.</span></p> <p><strong><span>Methods</span></strong></p> <p><span>We conducted a structured epidemiological survey of 99 households across Nairobi, Kenya, and whole genome sequenced <em>E</em>. <em>coli</em> isolates from 311 human, 606 livestock, and 399 wildlife faecal samples. We used statistical models to investigate the prevalence of AMR carriage and characterise AMR gene diversity and structure of AMR genes in different host populations across the city. We also investigated house-hold level risk factors for exchange of AMR genes between sympatric humans and livestock.</span></p> <p><strong><span>Findings</span></strong></p> <p><span>We detected 56 unique acquired genes along with 13 point mutations present in variable proportions in human and animal isolates, known to confer resistance to nine antibiotic classes. We find that AMR gene community composition is not associated with host species, but AMR genes were frequently co-located, potentially enabling the acquisition and dispersal of multi-drug resistance in a single step. We find that whilst keeping livestock had no influence on human AMR gene carriage, the potential for AMR transmission across human-livestock interfaces is greatest when manure is poorly disposed of and in larger households.</span></p> <p><strong><span>Conclusions</span></strong></p> <p><span>Findings of widespread carriage of AMR bacteria in human and animal populations, including in long-distance wildlife species, in community settings, highlight the value of evidence-based surveillance to address antimicrobial resistance on a global scale. Our genomic analysis provided in-depth understanding of AMR determinants at the interfaces of One-Health sectors that will inform AMR prevention and control.</span></p>
Data from: City sicker? a meta-analysis of wildlife health and urbanization
Open the record for dataset details and reuse information.
Genomic epidemiology of Escherichia coli: antimicrobial resistance through a One Health lens in sympatric humans, livestock and peri-domestic wildlife in Nairobi, Kenya
Open the record for dataset details and reuse information.
Data from: the widespread keeping of wild pets in the Neotropics: an overlooked risk for human, livestock, and wildlife health
Open the record for dataset details and reuse information.
A multi-state occupancy model to non-invasively monitor visible signs of wildlife health with camera traps that accounts for image quality
Open the record for dataset details and reuse information.
Data from: Natural hazards and wildlife health: the effects of a volcanic eruption on the Andean condor
<p>Volcanic eruptions produce health changes in animals that may be associated with emitted gases and deposited ashes. We evaluated whether the Puyehue–Cordón Caulle volcanic eruption in 2011 produced health changes in the threatened Andean condor (<i>Vultur gryphus</i>) living in the area most affected by the eruption, north-western Patagonia. We studied clinical and biochemical parameters of condors examined before and after the eruption. We also examined concentrations of different metals and metalloids in the blood of individuals sampled after the eruption. The most common clinical abnormality associated with the eruptive process was irritating pharyngitis. In condors sampled after the eruption, blood concentrations of albumin, calcium, carotenoids and total proteins decreased to levels under the reference values reported for this species. We found different chemical elements in the blood of these condors after the eruption, such as arsenic and cadmium, with the potential to produce health impacts. Thus, the health of Andean condors was affected in different ways by the eruption; remaining in the affected area appears to have been costly. However, in comparison to other animal species, the health impacts were not as strong and were mainly related to food shortages due to the decrease in availability of livestock carcasses linked to the eruption. This suggests that condors dealt relatively well with this massive event. Future research is needed to evaluate if the health changes we found reduce the survival of this species, and if the cost of inhabiting volcanic areas has any ecological or evolutionary influence on the condor's life history.</p>
A review of endangered wildlife hosts in Europe for selected pathogens to be targeted by One Health surveillance
<p>EFSA has been asked by the EU-Commission to assess the prioritization of cross-border pathogens that threaten the Union to be used in setting up a coordinated surveillance system under the One Health (OH) approach. A list of 50 pathogen has been considered in a first stage by the OH Working Group of EFSA. Under this OH approach, the criteria to be applied for prioritization of pathogens in further steps should consider that emerging infectious diseases have arisen from or been identified in wildlife, with health implications for humans, domestic animals, and wildlife. The identified infectious diseases pose a threat to wildlife populations and biodiversity and are perceived by the society as real risks to wildlife conservation. We elaborated a list of potential endangered wildlife hosts distributed in Europe for each pathogen. Hosts species were classified as Near Threatened (NT), Vulnerable (BVU), Endangered (EN) and Critically Endangered (CE) based on the International Union for Conservation of Nature's (IUCN) Red List of Threatened Species. Their endemicity status was also indicated. To consider a species as potential hosts, a literature review was performed in PubMED and diagnosis included direct detection of pathogen and immunological response. A complete table and data sources are presented in excel</p>
Non-invasive monitoring of multiple wildlife health factors by fecal microbiome analysis
<p>Fecal microbial biomarkers represent a less invasive alternative for acquiring information on wildlife populations than many traditional sampling methodologies. Our goal was to evaluate linkages between fecal microbiome communities in Rocky Mountain elk (<i>Cervus canadensis</i>) and four host factors including sex, age, population, and physical condition (body-fat). We paired a feature-selection algorithm with an LDA-classifier trained on elk differential bacterial abundance (16S-rRNA amplicon survey) to predict host health factors from 104 elk microbiomes across four elk populations. We validated the accuracy of the various classifier predictions with leave-one-out cross-validation using known measurements. We demonstrate that the elk fecal microbiome can predict the four host factors tested. Our results show that elk microbiomes respond to both the strong extrinsic factor of biogeography and simultaneously occurring, but more subtle, intrinsic forces of individual body-fat, sex, and age class. Thus, we have developed and described herein a generalizable approach to disentangle microbiome responses attributed to multiple host factors of varying strength from the same bacterial sequence data set. Wildlife conservation and management presents many challenges, but we demonstrate that non-invasive microbiome surveys from scat samples can provide alternative options for wildlife population monitoring. We believe that, with further validation, this method could be broadly applicable in other species and potentially predict other measurements. Our study can help guide the future development of microbiome-based monitoring of wildlife populations and supports hypothetical expectations found in host-microbiome theory.</p>
Data from: Natural hazards and wildlife health: the effects of a volcanic eruption on the Andean condor
Open the record for dataset details and reuse information.
Non-invasive monitoring of multiple wildlife health factors by fecal microbiome analysis
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.