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.
5
datasets available to search
ShareScore release 0.7.1
Dataset results
5 results for “Lissotriton montandoni”
Data from: Past forest-cover explains current genetic differentiation in the Carpathian newt (Lissotriton montandoni), but not in the smooth newt (L. vulgaris)
<p class="MsoNormal"><strong>Aim:</strong><strong><span> </span></strong><span>Current genetic variation and differentiation are expected to reflect the effects of past rather than present landscapes due to time lags, i.e., the time necessary for genetic diversity to reach equilibrium and reflect demography. </span>Time lags can affect our ability to infer landscape use and model connectivity, and also obscure the genetic consequences of recent landscape changes<span>. In this work, we test if past forest-cover better explains contemporary patterns of genetic differentiation in two closely related but ecologically distinct newt species – <em>Lissotriton montandoni</em> and <em>L. vulgaris</em>. </span></p> <p class="MsoNormal"><span><strong>Location: </strong></span><span><span>Carpathian Mountains and foothills.</span></span></p> <p class="MsoNormal"><span><strong>Methods: </strong>Genetic differentiation between populations was related with landscape resistance optimized with tools from landscape genetics, for multiple timeframes, using forest-cover data from 1963 to 2015. Analyses were conducted for </span><span><span>pairs of populations at distances from 1 to 50 km.</span></span></p> <p class="MsoNormal"><span><strong>Results:</strong></span><span><strong><span> </span></strong></span><span><span>We </span></span><span>find evidence for a time lag in <em>L. montandoni</em>, with forest-cover from 40 years ago (ca. 10 newt generations) better explaining current genetic differentiation. In <em>L. vulgaris</em>, current genetic differentiation was better predicted by present land-cover models with lower resistance given to open-forests. This result may reflect the generalist ecology of<em> L. vulgaris</em>, its lower effective population sizes and exposure to habitat destruction and fragmentation.</span></p> <p class="MsoNormal"><strong>Main conclusions:</strong><span> <span>Our study provides evidence for time lags in <em>L. montandoni</em>, showing that the genetic consequences of landscape change for some species are not yet evident. Our findings highlight the interspecific variation in time lag prevalence, and demonstrate that current patterns of genetic differentiation should be interpreted in the context of historical landscape changes.</span></span></p>
Data from: Past forest-cover explains current genetic differentiation in the Carpathian newt (Lissotriton montandoni), but not in the smooth newt (L. vulgaris)
Open the record for dataset details and reuse information.
Data from: Landscape genetics reveals contrasting patterns of connectivity in two newt species (Lissotriton montandoni and L. vulgaris)
<p><span>Ecologically distinct species may respond to landscape changes in different ways. </span>In addition to basic ecological data, <span>the extent of the</span> geographic range has been successfully used as an indicator of species sensitivity to anthropogenic landscapes, with widespread species usually found to be less sensitive compared to range-restricted species. <span>In this study, we investigate connectivity patterns of two closely related but ecologically distinct newt species – the range-restricted, <em>Lissotriton montandoni</em> and the widespread,<em> L. vulgari</em>s – using genomic data, a highly replicated setting (six geographic regions per species), and tools from landscape genetics. Our results show the importance of forest for connectivity in both species, but at the same time suggest differential use of forested habitat, with <em>L. montandoni</em> and <em>L. vulgaris</em> showing the highest connectivity at forest-core and forest-edges, respectively. Anthropogenic landscapes (i.e., higher crop- or urban-cover) increased resistance in both species, but the effect was one to three orders of magnitude stronger in <em>L. montandoni</em> than in <em>L. vulgaris</em>. </span><span>This result is consistent with a view of <em>L. vulgaris</em> as an ecological generalist. </span><span>Even so, currently, the negative impact of anthropogenic landscapes is mainly seen in connectivity among L. vulgaris populations, which show significantly stronger isolation and lower effective sizes relative to <em>L. montandoni</em>. Overall, this study emphasizes how habitat destruction is compromising genetic connectivity not only in endemic, range-restricted species of conservation concern but also in widespread generalist species, despite their comparatively lower sensitivity to anthropogenic landscape changes.</span></p>
Data from: Landscape genetics reveals contrasting patterns of connectivity in two newt species (Lissotriton montandoni and L. vulgaris)
Open the record for dataset details and reuse information.
Data from: No evidence for nuclear introgression despite complete mtDNA replacement in the Carpathian newt (Lissotriton montandoni)
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.