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.
277
datasets available to search
ShareScore release 0.9.0
Dataset results
277 results for “invasion genetics”
Genetic data of the 8733 non-invasive samples collected to study the French grey wolf population
Open the record for dataset details and reuse information.
Data from: Past population control biases interpretations of contemporary genetic data: implications for future invasive Sitka black-tailed deer management in Haida Gwaii
Open the record for dataset details and reuse information.
Genetic diversity and thermal performance in invasive and native populations of African fig flies
Open the record for dataset details and reuse information.
Data from: Revealing biogeographic patterns in genetic diversity of native and invasive plants and their association with soil community diversity in the Chinese coast
Open the record for dataset details and reuse information.
Data from: Genetic variation in mutualistic and antagonistic interactions in an invasive legume
Open the record for dataset details and reuse information.
Data from: Combining niche-shift and population genetic analyses predicts rapid phenotypic evolution during invasion
Open the record for dataset details and reuse information.
Complex genetic patterns and distribution limits mediated by native congeners of the worldwide invasive red‐eared slider turtle
Open the record for dataset details and reuse information.
Data from: Genetic analysis reveals the putative native range and widespread double‐clonal reproduction in the invasive longhorn crazy ant
Open the record for dataset details and reuse information.
Data from: iEcology as a tool to uncover geographic and genetic influences on the flowering phenology of invasive <em>Carpobrotus</em> taxa
Open the record for dataset details and reuse information.
A lack of genetically compatible mates constrains the spread of an invasive weed
Open the record for dataset details and reuse information.
Data from: Environment but not geography explains genetic variation in the invasive and largely panmictic European starling in North America
Open the record for dataset details and reuse information.
Evolution of invasion syndrome in invasive goldenrod is not constrained by genetic trade-offs
Open the record for dataset details and reuse information.
Data from: Cropland connectivity affects genetic divergence of Colorado potato beetle along an invasion front
Open the record for dataset details and reuse information.
Data from: Evaluating genotyping-in-thousands by sequencing as a genetic monitoring tool for a climate sentinel mammal using non-invasive and archival samples
Open the record for dataset details and reuse information.
Weak spatial-genetic structure in a native invasive, the southern pine beetle (Dendroctonus frontalis), across the eastern United States
Open the record for dataset details and reuse information.
Identifying diagnostic genetic markers for a cryptic invasive agricultural pest: a test case using the apple maggot fly, Rhagoletis pomonella (Diptera: Tephritidae)
Open the record for dataset details and reuse information.
Data from: Multiple introductions, polyploidy and mixed reproductive strategies are linked to genetic diversity and structure in the most widespread invasive plant across Southern Ocean archipelagos
Open the record for dataset details and reuse information.
Data from: Genetic identity and herbivory drive the invasion of a common aquatic microbial invader - phytoplankton and zooplankton abundance
<p>Despite the increasing number of species invasions, the factors driving invasiveness are still under debate. This is particularly the case for 'invisible' invasions by aquatic microbial species. Since in many cases only a few individuals or propagules enter a new habitat, their genetic variation is low and might limit their invasion success, known as the genetic bottleneck. Thus, a key question is, how genetic identity and diversity of invading species influences their invasion success and, subsequently, affect the resident community.</p> <p>We conducted invader-addition experiments using genetically different strains of the globally invasive, aquatic cyanobacterium <i>Raphidiopsis raciborskii</i> (formerly: <i>Cylindrospermopsis raciborskii</i>) to determine the role of invader identity and genetic diversity (strain richness) at four levels of herbivory. We tested the invasion success of solitary single strain invasions against the invader genetic diversity, which was experimentally increased up to ten strains (multi-strain populations). By using amplicon sequencing we determined the strain-specific invasion success in the multi-strain treatments and compared those with the success of these strains in the single-strain treatments. Furthermore, we tested for the invasion success under different herbivore pressures.</p> <p>We showed that high grazing pressure by a generalist herbivore prevented invasion, whereas a specialist herbivore enabled coexistence of consumer and invader. We found a weak effect of diversity on invasion success only under highly competitive conditions. When invasions were successful, the magnitude of this success was strain-specific and consistent among invasions performed with single-strain or multi-strain populations. A strain-specific effect was also observed on the resident phytoplankton community composition, highlighting the strong role of invader genetic identity.</p> <p>Our results point to a strong effect of the genetic identity on the invasion success under low predation pressure. The genetic diversity of the invader population, however, had little effect on invasion success in our study, in contrast to most previous findings. Instead, it is the interaction between the consumer abundance and type together with the strain identity of the invader that defined invasion success. This study underlines the importance of strain choice in invasion research and in ecological studies in general.</p>
Genetic insights into the globally invasive and taxonomically problematic tree genus Prosopis
<p class="MsoCommentText"><span><span><span><span><span><span><span><span><span><span><span>Accurate taxonomic identification of alien species is crucial to detect new incursions, prevent or reduce the arrival of new invaders and implement management options such as biological control. Globally, the taxonomy of non-native <i>Prosopis </i>species<i> </i>is problematic due to misidentification and extensive hybridization. We performed a genetic analysis on several <i>Prosopis</i> species, and their putative hybrids, including both native and non-native populations, with a special focus on <i>Prosopis</i> invasions in Eastern Africa (Ethiopia, Kenya and Tanzania). We aimed to clarify the taxonomic placement of non-native populations and to infer the introduction histories of <i>Prosopis</i> in Eastern Africa. DNA sequencing data from nuclear and<b> </b>chloroplast markers showed high homology (almost 100%) between most species analysed. Analyses based on seven nuclear microsatellites confirmed weak population genetic structure among <i>Prosopis </i>species. Hybrids and polyploid individuals were recorded in both native and non-native populations. Invasive genotypes of <i>P. juliflora</i> in Kenya and Ethiopia could have a similar native Mexican origin, while Tanzanian genotypes likely are from a different source. Native Peruvian <i>Prosopis pallida</i> genotypes showed high similarity with non-invasive genotypes from Kenya. Levels of introduced genetic diversity, relative to native populations, suggest that multiple introductions of <i>P. juliflora</i> and <i>P. pallida</i> occurred to Eastern Africa. Polyploidy may explain the successful invasion of <i>P. juliflora </i>in Eastern Africa. The polyploid <i>Prosopis juliflora</i> was highly differentiated from the rest of the (diploid) species within the genus. The lack of genetic differentiation between most diploid species in their native ranges supports the notion that hybridization between allopatric species may occur frequently when they are co-introduced into non-native areas. For regulatory purposes, we propose to treat diploid <i>Prosopis</i> taxa from the Americas as a single taxonomic unit in non-native ranges.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Assessing individual patterns of Echinococcus multilocularis infection in urban coyotes: non-invasive genetic sampling as epidemiological tool
1. In epidemiological studies of wildlife parasites, faecal genotyping has been introduced to prevent bias in estimates of parasite prevalence from faecal samples collected in the field. Such an approach could be particularly relevant in the study of Echinococcus multilocularis transmission in urban settings, where estimates of prevalence and patterns of infection in wild canid hosts are key parameters used in zoonotic risk assessment and management. However, no previous study has evaluated the reliability of E. multilocularis faecal prevalence, and individual patterns of infection in definitive hosts remain poorly understood. 2. We evaluated faecal genotyping as an epidemiological tool, using E. multilocularis in urban coyotes Canis latrans as our study system. Combining parasitological analysis and multilocus individual genotyping of coyote faeces, we compared faecal parasite prevalence with the prevalence obtained from genotyped faecal samples. Furthermore, we assessed patterns of individual infection, such as re-infection rates and phenology of parasite egg excretion. 3. Of 425 feces collected in five urban sites, we genotyped 142 samples (33.4%) corresponding to 60 unique individual coyotes. Number of genotyped samples per coyote ranged between 1 and 10 (mean = 2.3). Genotypes were obtained at 4–6 microsatellite loci and had a mean reliability of 0.9975. 4. Faecal prevalence of E. multilocularis in genotyped coyotes was 25.0%, and similar to results previously obtained from non-genotyped faeces. Faecal genotyping allowed estimating a re-infection rate of individual coyotes of 57.1%, and to observe temporal patterns of parasite infection that were not detected using non-genotyped faeces. 5. Synthesis and applications. If compared to independent data obtained through coyote post-mortem examination, our results suggest that reliable estimates of overall parasite prevalence in definitive host populations can be efficiently obtained through well-designed field collection and traditional faecal parasitological analysis. However, faecal genotyping allows assessing the dynamics of individual infections, which could otherwise only be estimated by using invasive techniques. Combining faecal genotyping with parasitology has a great potential in assessing zoonotic risk transmission in urban areas, as well as advancing the field of wildlife ecology, disease ecology and conservation.
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.