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.
21
datasets available to search
ShareScore release 0.7.1
Dataset results
21 results for “Smooth newt”
Fig. 2 in Ventral And Lateral Spot Patterns Differentiation Between Three Smooth Newt Species (Amphibia: Salamandridae: Lissotriton)
Fig. 2. Color patterns of smooth newt species. Lissotriton schmidtleri: males from Domurcalı (lateral view) and Dursunköy (ventral view), females from Yassıören (lateral view) and Ka- racabey (ventral view), Turkey; L. vulgaris: Gatchina, Russia; L. kosswigi: males from Mollafeneri (lateral view) and Hacılar (ventral view), females from Alibahadır Köyü, Turkey; L. lanzi: males from Ldzaa (lateral view) and Sukhum (ventral view), females from Ldzaa
Fig. 1 in Ventral And Lateral Spot Patterns Differentiation Between Three Smooth Newt Species (Amphibia: Salamandridae: Lissotriton)
Fig. 1. Distribution of Lissotriton vulgaris, L. schmidtleri and L. kosswigi in the Western Palearctic (A) and western Turkey (B). Numbers for localities are given in Table 1
Fig. 4 in Ventral And Lateral Spot Patterns Differentiation Between Three Smooth Newt Species (Amphibia: Salamandridae: Lissotriton)
Fig. 4. Plot of centroids for females (A) and males (B) of Lissotriton kosswigi, L. schmidtleri and L. vulgaris in the space of the first and second canonical discriminant axes
Fig. 3 in Ventral And Lateral Spot Patterns Differentiation Between Three Smooth Newt Species (Amphibia: Salamandridae: Lissotriton)
Fig. 3. Polygons selected on the ventral surface of newts (A) and types of dark spot arrangements located on the border between lateral and ventral surfaces (B), where r is random
Fig. 2 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris
Fig. 2 Frame shots showing the four feeding modes in the smooth newt. In the aquatic stage: a suction feeding under water and b jaw prehension on land. In the terrestrial stage: c suction feeding under water and d tongue prehension on land. The prey (maggot) is indicated by the arrow.
Fig. 1 Landmarks used for the kinematic analyses. 1 upper jaw tip, 2 lower jaw tip, 3 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris
Fig. 1 Landmarks used for the kinematic analyses. 1 upper jaw tip, 2 lower jaw tip, 3 hyoid (throat), 4 jaw joint, 5 nape, 6 dorsal trunk reference, 7 tongue tip (only digitized when visible)
Fig. 4 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris
Fig. 4 Scatter plot of the first two principal components. Principal component 1 (PC1) and principal component 2 (PC2) are derived from the 12 kinematic variables to illustrate the relationship among kinematic patterns for the four feeding modes coded by symbols and the ten individuals coded by color. Each data point represents one feeding event, and the ellipses indicate 95 % confidence interval in the four feeding modes. P@1 explains 57 % and P@2 explains 15.5 % of the total variance. See Table 3 for complete loadings of each principal component
Fig. 3 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris
Fig. 3 Kinematic profiles of the four feeding modes. Kinematic means (dark and bold curves)±SD (pale and slim curves) of gape (blue), hyoid (Vreen), head rotation (oranVe), and tongue movement (Vray, only shown
Fig. 2 in A new case of facultative paedomorphosis in Smooth Newts, Lissotriton vulgaris (Caudata: Salamandridae), in Turkey
Fig. 2. The general view of habitat (A) and a male paedomorphic Lissotriton vulgaris (B, C) from Lake Sazlı (Izmir, Turkey). The arrows show the cloaca (B) and the gills (C).
Figure 1 in Taxonomic status of a newly described island population of the smooth newt Lissotriton vulgaris (Linnaeus, 1758) from Bozcaada (Çanakkale, Turkey)
Figure 1. Geographic positions of the smooth newt populations used. Locality information is given in Table 1. Colors correspond to the various major clades (named after Babik et al., 2005; Pabijan et al., 2015). The three studied populations are given with a different symbol (star).
Figure 2 in Taxonomic status of a newly described island population of the smooth newt Lissotriton vulgaris (Linnaeus, 1758) from Bozcaada (Çanakkale, Turkey)
Figure 2. Phylogenetic relationships among studied smooth newt populations based on Bayesian Inference of mtDNA sequences (16S rRNA and ND4). Node posterior probabilities> 0.90 are given with asterisks. Population numbers correspond to Figure 1 and Table 1. The studied populations are given by their full names.
Fig. 6 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris
Fig. 6 First (a) and second (b) phase of the tongue prehension mode shown in Fig. 4a. The time axes are normalized to percentages of corresponding phase duration. Both phases can, therefore, be directly compared to the kinematic profiles shown in Fig. 4. Note the striking similarities of movement patterns of the second phase (b) and the aquatic feeding patterns shown in Fig. 4a, b, c
Fig. 5 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris
Fig. 5 Significant correlation plots of kinematic variables. The feeding modes are color*coded: blue (a, b) suction feeding in the aquatic stage, liVWt brown (c, d), jaw prehension in the aquatic stage, and Vreen (e–l)
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.
Vehkaoja etal Infrastructure influences urban smooth newts
<p>Dataset contains information on smooth newts in metropolitan Helsinki, Finland. The file also contains land use information obtained through GIS analysis.</p>
Figure 2 in Patterns of morphometric variation in the smooth newt (Lissotriton vulgaris) from Greece: environmental correlates
Figure 2. Plot of CV1–CV3 scores showing separation of populations in multivariate space for male and female smooth newts from Greece. The proportion of the total variation summarized in the plots is 76.9% and 79.6%, respectively. For population numbers and localities see Appendix 1. M: metamorphosed individuals; P: paedomorphic individuals.
Figure 1 in Patterns of morphometric variation in the smooth newt (Lissotriton vulgaris) from Greece: environmental correlates
Figure 1. Correlation of body size with altitude in both sexes of L. vulgaris from Greece. Dashed lines represent the 95% confidence intervals for the regression lines. For population numbers and localities see Appendix 1.
Figure 3 in Patterns of morphometric variation in the smooth newt (Lissotriton vulgaris) from Greece: environmental correlates
Figure 3. Correlation of male CV2 with mean annual humidity. Dashed lines represent the 95% confidence interval for the regression line. For population numbers and localities see Appendix 1.
Data from: Divergence history of the Carpathian and smooth newts modelled in space and time
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.