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Fig. 1 in Short communications Extinct or not extinct: the case of the Chalcides ocellatus (Squamata: Scincidae) population from the Park of the ex Bourbonic Royal Palace of Portici (Naples, Italy)
Fig. 1 - Comparison among the anterolateral spines of: A) Ranina sp. (MSNM i28047), "Serre di Rapolano" (Siena). B) Ranina propinqua Ristori, 1891 (MSNM i28012), Orzalune-Cottano (Orvieto). C) Ranina propinqua Ristori, 1891 (MUSNAF 7075), Fabro Scalo (Terni). D) Ranina ranina (Linnaeus, 1758), Indo-Pacific area.
Fig. 2 in Short communications Extinct or not extinct: the case of the Chalcides ocellatus (Squamata: Scincidae) population from the Park of the ex Bourbonic Royal Palace of Portici (Naples, Italy)
Fig. 2 - Ranina sp., MSNM i28045. A) Carapace in dorsal view. (x 3.2). B) Close-up view of the dorsal ornamentation.
Fig. 1 in Short communications Extinct or not extinct: the case of the Chalcides ocellatus (Squamata: Scincidae) population from the Park of the ex Bourbonic Royal Palace of Portici (Naples, Italy)
Fig. 1 - Petrochirus fabroensis Pasini, Garassino & De Angeli in Baldanza et al. (2014), MSNM i28044. A) right cheliped in outer view. B) right cheliped in inner view. (x 3).
Figure 8 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 8. TCS network of the studied S. limbata and their individuals (numbers indicated the populations based on Table 1).
Figure 6 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 6. STRUCTURE analysis of the studied populations, which revealed the best number of K=7 (numbers indicated the populations based on Table 1).
Figure 5 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 5. NJ tree of the evaluated populations and their individuals based on ISSR data (numbers indicated the populations based on Table 1).
Figure 4 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 4. UPGMA tree of the studied populations and their members according to ISSR data (numbers indicated the populations based on Table 1).
Figure 2 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 2. PCA plot of the evaluated populations and their individuals (numbers indicated populations according to Table 1).
Figure 7 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 7. Reticulation dendrogram of the studied populations that indicating gene flow among. Abbreviations: Arak (1- 3), Sangak (4-6), Semnan (7-9), Vidar (10-12), Ahovan (13-15), Zarandiyeh (16-18), Ghoochan (19-21) and Lashkarak (22-24).
Figure 1 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 1. Distribution map of the investigated populations of S. limbata (numbers indicated populations according to Table 1).
Figure 3 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 3. Shells of Sinanodonta lauta and the temperate invasive lineage of S. woodiana from Kazakhstan. A-C) S. lauta, irrigation channel of the Ili River near Topar settlement [specimens RMBH biv764_7, RMBH biv763_1, and RMBH biv763_5, respectively]. D-F) Temperate invasive lineage of S. woodiana, Kapchagay Reservoir [specimens RMBH biv762_3, RMBH biv762_5, and RMBH biv762_2, respectively]. Scale bar = 20 mm. (Photo: Ekaterina Konopleva).
Figure 4 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 4. Shell morphometry and age of Sinanodonta lauta (N = 20) and the temperate invasive lineage of S. woodiana (N = 10) from Kazakhstan. A) Shell length vs shell height scatterplot. B) Shell length vs shell width scatterplot. C) Shell length vs age scatterplot. D) Shell elongation index vs shell convexity index scatterplot.
Figure 2 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 2. Habitat of a viable population of Sinanodonta lauta in Kazakhstan: irrigation channel of the Ili River near Topar settlement. (Photo: Ilya Vikhrev).
Figure 1 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 1. Ranges and population status of Sinanodonta lauta and the temperate invasive lineage of S. woodiana in Middle Asia. The circles indicate recent well-established populations, and the squares indicate old unconfirmed records of S. lauta (green) and S. woodiana (red). The green star indicates the site of putative initial introduction of S. lauta to Kazakhstan between 1961 and 1971. The color filling indicates freshwater basins, in which non-native populations of S. lauta and S. woodiana (light green) and S. woodiana (pink) were established. The species occurrence data are presented in Table 1.
Figure 5 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 5. Median joining networks of the COI sequences of Sinanodonta spp. The list of sequences is given in Table 2. The red numbers near branches indicate the numbers of nucleotide substitutions between haplotypes. Size of circles corresponds to the number of available sequences for each haplotype (smallest circle = 1 sequence). A) Temperate invasive lineage of Sinanodonta woodiana (N = 72). B) S. lauta (N = 24).
Fig. 5. The Mantel test compares a in Application of allozyme markers for screening of turbot populations along Western Black Sea coast
Fig. 5. The Mantel test compares a genetic distance (Y matrix) with a geographical distance (X matrix) in kilometers to test correlation between genetics and geographical location.
Fig. 3 in Application of allozyme markers for screening of turbot populations along Western Black Sea coast
Fig. 3. Enzymograms of general unspecified esterases (EST) from muscle tissue of turbot (1) and haemoglobin (2), EST-2* and EST-3* - polymorphic loci, 0 – origin.
Fig. 2. A in Application of allozyme markers for screening of turbot populations along Western Black Sea coast
Fig. 2. A. Electrophoregrams on PROT from turbot (Bulgarian and Romanian coast), using different tissues:1-3 – haemoglobins, 4-5- eye (retina) and 6 – muscle, 0 – origin. B. Electrophoregrams on PROT from turbot Bulgarian and Rumanian coast haemoglobin tissue. PROT-1* and PROT-2* were polymorphic, 0 – origin.
Fig. 2 in Soluble proteins in Messor structor (Latreille, 1798) (Hymenoptera: Formicidae) populations from Bulgaria - genetic variability and possible usage as population-genetic markers
Fig. 2. Spectrum of soluble proteins of M. structor workers (7.5% PAGE): a. Elenovo population; b. Tsalapitsa population.
Fig. 3. a in Soluble proteins in Messor structor (Latreille, 1798) (Hymenoptera: Formicidae) populations from Bulgaria - genetic variability and possible usage as population-genetic markers
Fig. 3. a. UPGMA dendrogram (Sneath et al. 1973); b. Neighbour-joining dendrogram (Saitou & Nei 1987).
ScienceDex guides
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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.