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Figure 6 in The social wasps (Hymenoptera: Vespidae: Polistinae) of a fragment of Atlantic Forest in southern Bahia, Brazil
Figure 6. (A, B) Accumulation and rarefaction curves for the wasps collected in the three fragments.
FIGURE 1. A in A new fragment for the understanding of the puzzling evolutive process of the Phymaturus genus: a new species of the patagonicus group from Patagonia, Argentina (Reptilia: Iguania: Liolaemidae)
FIGURE 1. A. Adult male holotype of Phymaturus manuelae in life from Terra Typica, Río Negro, dorsal view. Photo: J.A. Scolaro, 20 December 2007. B. Adult female paratype of Phymaturus manuelae in life from Terra Typica, Río Negro, dorsal view with distinct chromatic pattern. Photo: J.A. Scolaro, 20 December 2007. C. Adult male (m) and female (f) paratypes of Phymaturus manuelae in life from Terra Typica, Río Negro, ventral views. Photos: J.A. Scolaro, 20 December 2007.
FIGURE 2. A in A new fragment for the understanding of the puzzling evolutive process of the Phymaturus genus: a new species of the patagonicus group from Patagonia, Argentina (Reptilia: Iguania: Liolaemidae)
FIGURE 2. A. Adult male of Phymaturus excelsus in life from Terra Typica, Ojos de Agua, Río Negro. Photo: J.A. Scolaro, 15 March 2006. B. Adult male of Phymaturus spectabilis in life from Terra Typica, Ing. Jacobacci, Rio Negro. Photo: J.A. Scolaro, 26 November 2006. C. Adult male of Phymaturus spurcus in life from Terra Typica, Huanuluán, Rio Negro. Photo: J.A. Scolaro, 18 March 2006.
FIGURE 3 in A new fragment for the understanding of the puzzling evolutive process of the Phymaturus genus: a new species of the patagonicus group from Patagonia, Argentina (Reptilia: Iguania: Liolaemidae)
FIGURE 3. Geographic known distribution of P. manuelae and the neighbor Phymaturus species: 1. P. patagonicus; 2. P. calcogaster; 3. P. somuncurensis; 4. P. ceii; 5. P. spectabilis; 6. P. excelsus; 7. P. spurcus; 8. P. manuelae and 9. P. tenebrosus. Map and satellite image.
Analysis of RNA polymerase II clusters in fixed embryos injected with antigen-binding fragments
<p>Data and scripts for the analysis of RNA polymerase II clusters. The data set includes data obtained from fixed zebrafish embryos injected with antigen-binding fragments, CellProfiler pipelines for the initial analysis of images are provided, along with Python scripts to export data into CSV format and execute downstream analysis.</p>
Figure 2 in Orchid bees (Hymenoptera, Apidae, Euglossini) are seasonal in Seasonal Semideciduous Forest fragments, southern Brazil
Figure 2. Orchid bee phenology in Seasonal Semideciduous Forest fragments, Euglossa fimbriata.
FIG. 8. RAPD fragments amplified using primers 617–624 in Synonymy of Rhynchophorus ferrugineus (Olivier), 1790 and R. vulneratus (Panzer), 1798 (Coleoptera, Curculionidae, Rhynchophorinae)
FIG. 8. RAPD fragments amplified using primers 617–624 on DNA from R. ferrugineus (F) and R. vulneratus (V) specimens from Bojong Kalong, Java. Primer nucleotide sequences (5'–3'): 617, CGG-ACT-ATG-T; 618, CGG-ACT-ATG-T; 619, TTC-CCT- AGC-G; 620, TTG-CGC-CCG-G; 621, GTC-TGC-GCT-A; 622, ACA-GGT-GGT-T; 623, TGC-GGG-ACT-G; 624, GTG-ATA-AGC-C.
FIG. 6. RAPD fragments amplified using primers 601–608 in Synonymy of Rhynchophorus ferrugineus (Olivier), 1790 and R. vulneratus (Panzer), 1798 (Coleoptera, Curculionidae, Rhynchophorinae)
FIG. 6. RAPD fragments amplified using primers 601–608 on DNA from R. ferrugineus (F) and R. vulneratus (V) specimens from Bojong Kalong, Java. Lanes 1 and 10 contain a 100 bp ladder for reference. Primer nucleotide sequences (5'–3'): 601, CCG-CCC- ACT-G; 602, GCG-AAG-ACT-A; 603, ACC-CAC-CGC-G; 604, GGC-CCA-TTG-C; 605, CCG-ATC-ATT-C; 606, CGG-TCG-GCC-A; 607, AGT-GTC-GTC-G; 608, GAG-CCC-GAA-A.
FIG. 7. RAPD fragments amplified using primers 609–616 in Synonymy of Rhynchophorus ferrugineus (Olivier), 1790 and R. vulneratus (Panzer), 1798 (Coleoptera, Curculionidae, Rhynchophorinae)
FIG. 7. RAPD fragments amplified using primers 609–616 on DNA from R. ferrugineus (F) and R. vulneratus (V) specimens from Bojong Kalong, Java. Lanes 7, 12 and 13 contain a 100 bp ladder for reference. Primer nucleotide sequences (5'–3'): 609, ACA- GCA-CCA-T; 610, TTT-GCC-GCC-C; 611, CCA-TCG-TAC-C; 612, CCG-TGA- GTA-T; 613, TGC-ACC-CAC-G; 614, GTA-GTC-TCG-C; 615, CGT-CGA-GCG-G; 616, CGG-AAG-AAA-C.
FIGURE 3 in Phylogeny of pentatomomorphan bugs (Hemiptera-Heteroptera: Pentatomomorpha) based on six Hox gene fragments
FIGURE 3. Phylogeny of Pentatomomorpha based on six Hox gene fragments. The clades with morphological synapomorphies are illustrated by red lines. The support for each node is comprised of four values. The two numbers above each internode are the Bayesian posterior probability (BPP) while the two below are the bootstrap support (BS) of 100 replicates with maximum likelihood (ML) methods. Each number forward of the comma corresponds to the data matrix of amino acid (aa) sequences while each number behind corresponds to the data matrix of the first and second positions in the triplet codon of nucleotide (nt12) sequences. A dash stands for no support value for that node. The blue and green circles represent synapomorphy variants in C-terminal DFD 21 and 60, respectively. The lengths of the bugs are illustrated in proportion to their body sizes.
FIGURE 1 in Phylogeny of pentatomomorphan bugs (Hemiptera-Heteroptera: Pentatomomorpha) based on six Hox gene fragments
FIGURE 1. Summary of phylogenetic results of previous studies based on morphological characteristics, 18S rDNAs and mitochondrial genomes.
Figure 3 in Amplified fragment length polymorphisms, the evolution of the land snail genus Theba (Stylommatophora: Helicidae), and an objective approach for relating fossils to internal nodes of a phylogenetic tree using geometric morphometrics
Figure 3. Thin plate splines illustrating shape changes between selected nodes of the tree in Figure 4 based on weighted branch lengths.
Figure 4 in Amplified fragment length polymorphisms, the evolution of the land snail genus Theba (Stylommatophora: Helicidae), and an objective approach for relating fossils to internal nodes of a phylogenetic tree using geometric morphometrics
Figure 4. Reconstruction of shell shape and size based on weighted (above branches) and unweighted (below branches) branch lengths. The inset shows the tree shape based on COI sequence data evolved into the AFLP tree topology. Node numbers are in italic; size is expressed as centroid size; the colour of the centroid size values indicates shape changes.
Figure 6 in Species boundaries in Philaethria butterflies: an integrative taxonomic analysis based on genitalia ultrastructure, wing geometric morphometrics, DNA sequences, and amplified fragment length polymorphisms
Figure 6. Evolutionary relationships of Philaethria based on DNA sequences from specimens of Philaethria wernickei (southern population; Atlantic Rain Forest) and individuals previously described as Philaethria pygmalion (northern population; Amazon Forest), depicted by the green shading (grey in print version). Philaethria diatonica and Philaethria dido were used to root the tree. Purple (grey) circles represent individuals from the Atlantic Rain Forest and black triangles indicate samples from the Amazon Basin. A, consensus Bayesian tree based on mitochondrial (cytochrome oxidase subunit I, Co-I) and nuclear [triose-phosphate isomerase (Tpi), wingless (Wg), and tyrosine hydroxylase (TH)] DNA sequences. Posterior probabilities are shown above branches. Bootstrap node support based on maximum likelihood analysis is indicated below branches. Asterisks indicate node support lower than 70%. B, Median-joining network based on mtDNA and nuclear loci sequence data describing the relationship between haplotypes (purple indicates southern population, and black, northern population). Nucleotide substitutions are shown on the branches as small transverse bars. Circle size is proportional to haplotype frequency.
Figure 2 in Species boundaries in Philaethria butterflies: an integrative taxonomic analysis based on genitalia ultrastructure, wing geometric morphometrics, DNA sequences, and amplified fragment length polymorphisms
Figure 2. Location of linear measurements (A) and schematic representation (B, C) of Philaethria wings showing veins and landmarks adopted in this study. A, hind wing dorsal and ventral (detail) views, showing measured vectors. B, fore wing. C, hind wing. See Appendix S2 for details on morphological definitions of landmarks.
Figure 4 in Species boundaries in Philaethria butterflies: an integrative taxonomic analysis based on genitalia ultrastructure, wing geometric morphometrics, DNA sequences, and amplified fragment length polymorphisms
Figure 4. Linear variation in hind wing size and medial postdiscal bands for Philaethria wernickei and Philaethria pygmalion (left column), and in relation to latitude when samples from the two species are combined (right column). A, D, hind wing length. B, E, hind wing length/postdiscal band ratio (AB/DE). C, F, inner and medial postdiscal band ratio (EF/DF). See Fig. 2A for details on wing position of corresponding measurements. Numbers above boxes indicate the number of specimens measured in each class.
Figure 1 in Species boundaries in Philaethria butterflies: an integrative taxonomic analysis based on genitalia ultrastructure, wing geometric morphometrics, DNA sequences, and amplified fragment length polymorphisms
Figure 1. Geographical distributions of Philaethria wernickei and Philaethria pygmalion, and corresponding variation in male genitalia ultrastructure and ventral hind wing colour. A, shaded areas show distribution ranges proposed by Constantino & Salazar (2010) for P. wernickei (green) and P. pygmalion (red); green circles and red triangles represent collection localities of the material analysed in this study. B, variation in valva's cucullus, external view. C, variation in the colour pattern of hind wing surface, ventral view.
Figure 3 in Species boundaries in Philaethria butterflies: an integrative taxonomic analysis based on genitalia ultrastructure, wing geometric morphometrics, DNA sequences, and amplified fragment length polymorphisms
Figure 3. Male genitalia of Philaethria wernickei and Philaethria pygmalion. A, P. wernickei, lateral view. B, P. pygmalion, lateral view. C, schematic representation of generalized genitalia for both, in lateral view. D, F, H, J, scanning electron micrographs of P. wernickei; E, G, I, K, scanning electron micrographs of P. pygmalion. D, E, ampulla external view. F, G, ampulla internal view. H, I, ampulla ornamentation in detail. J, K, fultura inferior distal end. Scale bars = 150, 30, and 100 μm, for D–G, H–I, and J–K, respectively.
Figure 8 in Species boundaries in Philaethria butterflies: an integrative taxonomic analysis based on genitalia ultrastructure, wing geometric morphometrics, DNA sequences, and amplified fragment length polymorphisms
Figure 8. STRUCTURE-based clustering of Philaethria wernickei individuals from low (0–10°S) to high (20–25°S) latitudes (north and south populations, respectively) based on amplified fragment length polymorphism loci. Each individual is represented by a vertical line divided into segments of different colour that represent genetic clusters (K) from 1–4.
Figure 7 in Species boundaries in Philaethria butterflies: an integrative taxonomic analysis based on genitalia ultrastructure, wing geometric morphometrics, DNA sequences, and amplified fragment length polymorphisms
Figure 7. Multilocus consensus Bayesian tree based on cytochrome oxidase subunit I (Co-I), triose-phosphate isomerase (Tpi), wingless (Wg), and tyrosine hydroxylase (TH) sequences from specimens of Philaethria wernickei (Atlantic Rain Forest, purple circles) and individuals previously described as Philaethria pygmalion (Amazon Forest, black triangles) depicted by the green shading (grey in print version). Philaethria pygmalion and Philaethria dido were used to root the tree. Posterior probabilities are shown above branches and bootstrap node support based on maximum likelihood analysis is indicated below branches. Asterisks indicate node support lower than 70%.
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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.