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9,937 results for “Endemicity”
FIGURE 1 in Diversification in the mountains: a generic reappraisal of the Western Ghats endemic gecko genus Dravidogecko Smith, 1933 (Squamata: Gekkonidae) with descriptions of six new species
FIGURE 1. Elevation map of peninsular India. Black dots are locations in the Western and Eastern Ghats where fieldwork was conducted. Black stars represent type-localities of Dravidogecko spp. 1) D. anamallensis (Valparai town) 2) D. septentrionalis sp. nov. (Lakkidi village, Wayanad) 3) D. meghamalaiensis sp. nov. (Meghamalai, Theni) 4) D. douglasadamsi sp. nov. (Manjolai village, Tirunelveli) 5) D. smithi sp. nov. (Ponmudi Hills, Tiruvananthapuram) 6) D. tholpalli sp. nov. (Kodaikanal town, Dindigul) 7) D. janakiae sp. nov. (Munnar town, Idukki).
FIGURE 8 in Diversification in the mountains: a generic reappraisal of the Western Ghats endemic gecko genus Dravidogecko Smith, 1933 (Squamata: Gekkonidae) with descriptions of six new species
FIGURE 8. Holotype of D. meghamalaiensis sp. nov. A) Full-body dorsal B) Head dorsal C) Head lateral D) Head ventral. Scale bar = 10 mm.
FIGURE S1 in Diversification in the mountains: a generic reappraisal of the Western Ghats endemic gecko genus Dravidogecko Smith, 1933 (Squamata: Gekkonidae) with descriptions of six new species
FIGURE S1. Species delimitation results as depicted on an ultrametric tree based on the ND2 dataset. Terminal branches in red indicate clusters within species, in black indicate distinct species as estimated by GMYC. Posterior probability on branches indicate support for delimitation of those terminal nodes as distinct species using the bPTP tool. Posterior probabilities against internal nodes indicate support for a species-level lineage split as estimated by the BPP tool.
FIGURE S3 in Diversification in the mountains: a generic reappraisal of the Western Ghats endemic gecko genus Dravidogecko Smith, 1933 (Squamata: Gekkonidae) with descriptions of six new species
FIGURE S3. Eco-climatic maps of the southern Western Ghats. A) Vegetation B) Mean annual rainfall C) Mean annual temperatures.
Figure 5 in A new endemic species of the subgenus Mus (Rodentia, Mammalia) on the Island of Cyprus
Figure 5: A: Minimum evolution tree based on the analysis of the DLoop (926 sites). B: same phylogenetic inference on 761 bp of ABPa intron 2. Only the bootstrap values of each node superior to 50 are indicated.
Fig. 1 Mitochondrial genome structure and genes variability. a in Historical biogeography and mitogenomics of two endemic Mediterranean gorgonians (Holaxonia, Plexauridae)
Fig. 1 Mitochondrial genome structure and genes variability. a Mitogenomes of Paramuricea clavata and Paramuricea macrospina with genome size and gene annotation. GC-content and AT-content are shown in blue and green on the inner and outer surface of the ring, respectively. b Sliding window analysis of the complete mitochondrial genomes of P. clavata and P. macrospina. The black line indicates
Fig. 5 in Ancient divergence and recent population expansion in a leaf frog endemic to the southern Brazilian Atlantic forest
Fig. 5 Model checking in ABC analyses of Phyllomedusa distincta. Ordination plots show summary statistics vectors of simulated (gray circles) and observed (black triangles) data after the rejection step. We conducted the rejection step per locus and for all loci jointly (see text for details)
Fig. 4 in Ancient divergence and recent population expansion in a leaf frog endemic to the southern Brazilian Atlantic forest
Fig. 4 Extended Bayesian Skyline plots of Phyllomedusa distincta groups: a Northern group and b Southern group. Dashed line represents the median population size (multiply by thousand and by generation time of 1 year) and the lightly shaded gray the 95 % HPD. The accumulation of green lines represents the full posterior distribution. The y-axis is in logarithmic scale
Fig. 1 in Allopolyploid origin of the Balkan endemic Ranunculus wettsteinii (Ranunculaceae) inferred from nuclear and plastid DNA sequences
Fig. 1 Phylogenetic tree for Ranunculus species based on internal transcribed spacer (ITS) sequences. a Consensus tree inferred from the six most parsimonious trees (CI=0.72; RI=0.93). Numbers above branches show bootstrap values (3,000 replicates). b Majority-rule consensus of
Fig. 3 in Spatial pattern of intraspecific mitochondrial diversity in the Northern Carpathian endemic spring snail, Bythinella pannonica (Frauenfeld, 1865) (Gastropoda: Hydrobiidae)
Fig. 3 Bythinella pannonica COI haplotype network. Circles Haplotypes occurring in the Karst (white) and in the Bükk Mts. (black). Circle sizes are proportional to the frequencies of the haplotypes. Haplotypes were nested into hierarchical clades following the rules of Templeton et al. (1987) and Templeton and Sing (1993). The two main clades, which could not be connected at the 95 % confidence level, are considered as distinct 4-step clades. For reasons of simplicity, only 2nd and higher step clades are indicated here. See Table 4 for phylogeographic inferences
Fig. 2 in Spatial pattern of intraspecific mitochondrial diversity in the Northern Carpathian endemic spring snail, Bythinella pannonica (Frauenfeld, 1865) (Gastropoda: Hydrobiidae)
Fig. 2 Constrained Bayesian tree of Bythinella pannonica mitochondrial cytochrome c oxidase subunit I gene (COI) haplotypes. The tree was rooted by Bythinella austriaca (FJ028978) (not illustrated). Numbers at branches are Bayesian posterior probabilities. For reasons of comparability, 2nd and higher step clades, defined by nested clade analysis, are indicated. Posterior probabilities above 95 % are given only for 2nd and higher step clades (see Fig. 3 for nested clade structure). Note that clade 2–7 is inferred to be paraphyletic by this analysis. This tree has been deposited in the TreeBase (http://purl.org/ phylo/treebase/phylows/study/ TB2:S10789)
Fig. 4 in Spatial pattern of intraspecific mitochondrial diversity in the Northern Carpathian endemic spring snail, Bythinella pannonica (Frauenfeld, 1865) (Gastropoda: Hydrobiidae)
Fig. 4 Mismatch frequency distributions of pairwise mutational differences for different datasets of Bythinella pannonica samples. a Whole dataset, b clade-A (see Figs. 2 and 3) c Clade-B d Subset of Clade-A sampled in the Karst, e Subset of Clade-A sampled in the Bükk Mts. Thick solid lines Observed frequency of pairwise differences, dashed lines expected distribution under the sudden expansion model, thin lines lower and upper bounds of the 95 % confidence interval
Fig. 1 in Spatial pattern of intraspecific mitochondrial diversity in the Northern Carpathian endemic spring snail, Bythinella pannonica (Frauenfeld, 1865) (Gastropoda: Hydrobiidae)
Fig. 1 Relief map of the northeastern part of the Carpathian Basin showing collection sites and the geographic distribution of intraspecific clades [at the level at which significant phylogenetic structure was found by nested clade phylogeographic analysis (NCPA)]. Clade names correspond to those in Figs. 2 and 3. More precise locality data are given in Table 1. Thick solid line Political border between Hungary and Slovakia
Fig. 5 a–d in Description of Spadella valsalinae sp. nov., a neo-endemic benthic chaetognath from Northern Adriatic Sea (Croatia) with remarks on its morphology, phylogeny and biogeography
Fig. 5 a–d. Comparative morphology of the posterior part of the body showing the shape and position of the seminal vesicles (arrows) as well as the posterior end of the lateral fins (arrowheads). Light micrographs of Spadella valsalinae sp. nov. (a), Spadella lainezi (b, picture montage after Casanova et al. 2006), Spadella ledoyeri (c) and Spadella cephaloptera (d). Bar 0.5 mm
Fig. 8 in Evolutionary body shape diversification of the endemic Cyprinoidei fishes from the Balkan's Dinaric karst
Fig. 8 Mapping BI phylogeny onto a plot of the first two principal components of A the covariance matrix among species means (uncorrected shape data) and B the covariance matrix of residuals from the regression of independent contrast of shape to independent contrasts of CS (size-corrected shape data). Deformation grids represent body shape changes from the reconstructed ancestral body shape at the root for Aulopyge huegelii, Delminichthys ghetaldii, Phoxinellus alepidotus, Phoxinus karsticus, Phoxinus sp. 1 clade 2 sensu Palandačić et al. (2017), Squalius svallize, Telestes dabar and Telestes metohiensis. The magnitude of the variability explained by PCs axes is given in parentheses. The tips of the terminal branches indicate the location of the mean taxon shape in the morphospace. The position of the internal nodes was reconstructed by applying the criterion of squared change parsimony
Fig. 7 in Evolutionary body shape diversification of the endemic Cyprinoidei fishes from the Balkan's Dinaric karst
Fig. 7 UPGMA phenogram based on matrix of A Procrustes distances and B Mahalanobis distances of Aulopyge huegelii, Delminichthys ghetaldii, Phoxinellus alepidotus, Phoxinus karsticus, Phoxinus
Fig. 6 in Evolutionary body shape diversification of the endemic Cyprinoidei fishes from the Balkan's Dinaric karst
Fig. 6 Allometry of the body shape of eight fish species expressed as multivariate regression scores against centroid size. The deformation grids represent predicted body shape change from the smallest A to the largest B centroid size value
Fig. 2 in Evolutionary body shape diversification of the endemic Cyprinoidei fishes from the Balkan's Dinaric karst
Fig. 2 The positions of landmarks used for morphometric analysis: (1) snout tip; (2) most anterior point of the eye outline; (3) most posterior point of the eye outline; (4) posterio-ventral corner of the preopercular; (5) dorsal insertion of pectoral fin; (6) posterior most edge of operculum; (7) anterior insertion of pelvic fin; (8) anterior point of anal fin; (9) ventral origin of caudal fin; (10) posterior point of lateral line; (11) dorsal origin of caudal fin; (12) posterior inserion of dorsal fin; (13) anterior insertion of dorsal fin
Fig. 6 in The colonisation of the Tyrrhenian Islands by Hydraena water beetles, with Hydraena reflexa Rey, 1884 reinstated as a valid species endemic to Corsica and Sardinia (Coleoptera, Hydraenidae)
Fig. 6 Hydraena species, Calabria and Sardinia. A) Hydraena pygmaea male Calabria, Sila, Camigliatello, habitus; B) Hydraena pygmaea female Calabria, Sila, Camigliatello, habitus; C) Hydraena reflexa male Sardinia, Aritzo, habitus; D) Hydraena pygmaea
Fig. 5 Hydraena species, male leg modifications. A–B Hydraena reflexa Rey, Monte d in The colonisation of the Tyrrhenian Islands by Hydraena water beetles, with Hydraena reflexa Rey, 1884 reinstated as a valid species endemic to Corsica and Sardinia (Coleoptera, Hydraenidae)
Fig. 5 Hydraena species, male leg modifications. A–B Hydraena reflexa Rey, Monte d'Oro, Corsica; C–D Hydraena pygmaea Waterhouse, Ruddycleave Water, South Devon, UK. A & C mid legs; B & D hind legs. Scale bar = 0.50 mm
ScienceDex guides
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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.